{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Neural Network Sounding Integration\n", "David John Gagne\n", "\n", "The goal of this notebook is to provide an introductory example showing how deep learning could be used to \n", "calculate information on a thermodynamic diagram." ] }, { "cell_type": "code", "execution_count": 290, "metadata": {}, "outputs": [], "source": [ "%matplotlib inline\n", "import numpy as np\n", "import pandas as pd\n", "from metpy.calc import dry_lapse, moist_lapse, saturation_mixing_ratio\n", "from metpy.plots import SkewT\n", "import pint\n", "import matplotlib.pyplot as plt\n", "from keras.layers import Dense, Input, Activation, Conv1D, AveragePooling1D, Reshape, Flatten, Dropout, AlphaDropout, LeakyReLU\n", "from keras.models import Model\n", "from keras.regularizers import l2\n", "from keras.optimizers import SGD\n", "from metpy.constants import Cp_d, epsilon, g, kappa, Lv, P0, Rd\n", "from metpy.calc.thermo import *\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The moist adiabat or pseudo-adiabat is the temperature trajectory taken by a saturated parcel as it ascends in the \n", "atmosphere. The change in temperature with pressue, or moist adiabatic lapse rate is \n", "\n", "\\begin{equation}\n", "\\frac{dT}{dP} = \\frac{1}{P} \\frac{R_d T + L_v r_s}{C_{pd} + \\frac{L_v^2 r_s \\epsilon}{R_d T^2}}\n", "\\end{equation}\n", "\n", "The equation does not have an analytic solution and must be integrated numerically. We do this below for a range of temperatures and a fixed set of pressure values." ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(50,) (46,)\n" ] } ], "source": [ "ureg = pint.UnitRegistry()\n", "train_temps = np.arange(230, 330, 2) * ureg.K\n", "test_temps = np.arange(231, 331, 2) * ureg.K\n", "pressures = np.arange(100, 1020, 20)[::-1] * ureg.hPa\n", "print(train_temps.shape, pressures.shape)" ] }, { "cell_type": "code", "execution_count": 83, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "230 kelvin\n", "232 kelvin\n", "234 kelvin\n", "236 kelvin\n", "238 kelvin\n", "240 kelvin\n", "242 kelvin\n", "244 kelvin\n", "246 kelvin\n", "248 kelvin\n", "250 kelvin\n", "252 kelvin\n", "254 kelvin\n", "256 kelvin\n", "258 kelvin\n", "260 kelvin\n", "262 kelvin\n", "264 kelvin\n", "266 kelvin\n", "268 kelvin\n", "270 kelvin\n", "272 kelvin\n", "274 kelvin\n", "276 kelvin\n", "278 kelvin\n", "280 kelvin\n", "282 kelvin\n", "284 kelvin\n", "286 kelvin\n", "288 kelvin\n", "290 kelvin\n", "292 kelvin\n", "294 kelvin\n", "296 kelvin\n", "298 kelvin\n", "300 kelvin\n", "302 kelvin\n", "304 kelvin\n", "306 kelvin\n", "308 kelvin\n", "310 kelvin\n", "312 kelvin\n", "314 kelvin\n", "316 kelvin\n", "318 kelvin\n", "320 kelvin\n", "322 kelvin\n", "324 kelvin\n", "326 kelvin\n", "328 kelvin\n", "231 kelvin\n", "233 kelvin\n", "235 kelvin\n", "237 kelvin\n", "239 kelvin\n", "241 kelvin\n", "243 kelvin\n", "245 kelvin\n", "247 kelvin\n", "249 kelvin\n", "251 kelvin\n", "253 kelvin\n", "255 kelvin\n", "257 kelvin\n", "259 kelvin\n", "261 kelvin\n", "263 kelvin\n", "265 kelvin\n", "267 kelvin\n", "269 kelvin\n", "271 kelvin\n", "273 kelvin\n", "275 kelvin\n", "277 kelvin\n", "279 kelvin\n", "281 kelvin\n", "283 kelvin\n", "285 kelvin\n", "287 kelvin\n", "289 kelvin\n", "291 kelvin\n", "293 kelvin\n", "295 kelvin\n", "297 kelvin\n", "299 kelvin\n", "301 kelvin\n", "303 kelvin\n", "305 kelvin\n", "307 kelvin\n", "309 kelvin\n", "311 kelvin\n", "313 kelvin\n", "315 kelvin\n", "317 kelvin\n", "319 kelvin\n", "321 kelvin\n", "323 kelvin\n", "325 kelvin\n", "327 kelvin\n", "329 kelvin\n" ] } ], "source": [ "train_data = np.zeros((train_temps.size, pressures.size))\n", "test_data = np.zeros((test_temps.size, pressures.size))\n", "for t, temp in enumerate(train_temps):\n", " print(temp)\n", " train_data[t] = moist_lapse(pressures, temp)\n", "for t, temp in enumerate(test_temps):\n", " print(temp)\n", " test_data[t] = moist_lapse(pressures, temp)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [] }, { "cell_type": "code", "execution_count": 14, "metadata": { "collapsed": true }, "outputs": [], "source": [ "l_mean = train_data.mean(axis=0)\n", "l_sd = train_data.std(axis=0)\n", "t_mean = train_temps.m.mean()\n", "t_sd = train_temps.m.std()\n", "norm_train_data = (train_data - l_mean) / l_sd\n", "norm_train_input = (train_temps.m.reshape(-1, 1) - t_mean) / t_sd\n", "norm_test_input = (test_temps.m.reshape(-1, 1) - t_mean) / t_sd" ] }, { "cell_type": "code", "execution_count": 296, "metadata": {}, "outputs": [], "source": [ "nn_moist_in = Input(shape=(1,))\n", "nn_moist_lapse = Dense(46 * 4,)(nn_moist_in)\n", "nn_moist_lapse = LeakyReLU(0.1)(nn_moist_lapse)\n", "nn_moist_lapse = Reshape((46 * 4, 1))(nn_moist_lapse)\n", "nn_moist_lapse = Conv1D(16, 5, padding=\"same\")(nn_moist_lapse)\n", "nn_moist_lapse = LeakyReLU(0.1)(nn_moist_lapse)\n", "nn_moist_lapse = AveragePooling1D()(nn_moist_lapse)\n", "nn_moist_lapse = Conv1D(24, 5, padding=\"same\")(nn_moist_lapse)\n", "nn_moist_lapse = LeakyReLU(0.1)(nn_moist_lapse)\n", "nn_moist_lapse = AveragePooling1D()(nn_moist_lapse)\n", "nn_moist_lapse = Conv1D(32, 5, padding=\"same\")(nn_moist_lapse)\n", "nn_moist_lapse = LeakyReLU(0.1)(nn_moist_lapse)\n", "nn_moist_lapse = Conv1D(1, 5, padding=\"same\")(nn_moist_lapse)\n", "nn_moist_lapse = Flatten()(nn_moist_lapse)\n", "nn_moist_mod = Model(nn_moist_in, nn_moist_lapse)\n", "opt = SGD(lr=0.001, momentum=0.99, decay=1e-6, nesterov=True)\n", "nn_moist_mod.compile(\"adam\", \"mse\")" ] }, { "cell_type": "code", "execution_count": 285, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "_________________________________________________________________\n", "Layer (type) Output Shape Param # \n", "=================================================================\n", "input_42 (InputLayer) (None, 1) 0 \n", "_________________________________________________________________\n", "dense_90 (Dense) (None, 184) 368 \n", "_________________________________________________________________\n", "reshape_17 (Reshape) (None, 184, 1) 0 \n", "_________________________________________________________________\n", "conv1d_45 (Conv1D) (None, 184, 16) 96 \n", "_________________________________________________________________\n", "average_pooling1d_28 (Averag (None, 92, 16) 0 \n", "_________________________________________________________________\n", "conv1d_46 (Conv1D) (None, 92, 24) 1944 \n", "_________________________________________________________________\n", "average_pooling1d_29 (Averag (None, 46, 24) 0 \n", "_________________________________________________________________\n", "conv1d_47 (Conv1D) (None, 46, 32) 3872 \n", "_________________________________________________________________\n", "conv1d_48 (Conv1D) (None, 46, 1) 161 \n", "_________________________________________________________________\n", "flatten_11 (Flatten) (None, 46) 0 \n", "=================================================================\n", "Total params: 6,441\n", "Trainable params: 6,441\n", "Non-trainable params: 0\n", "_________________________________________________________________\n" ] } ], "source": [ "nn_moist_mod.summary()" ] }, { "cell_type": "code", "execution_count": 297, "metadata": { "scrolled": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Epoch 1/500\n", "50/50 [==============================] - 0s - loss: 1.0025 \n", "Epoch 2/500\n", "50/50 [==============================] - 0s - loss: 0.9908 \n", "Epoch 3/500\n", "50/50 [==============================] - 0s - loss: 0.9686 \n", "Epoch 4/500\n", "50/50 [==============================] - 0s - loss: 0.8758 \n", "Epoch 5/500\n", "50/50 [==============================] - 0s - loss: 0.6228 \n", "Epoch 6/500\n", "50/50 [==============================] - 0s - loss: 0.3613 \n", "Epoch 7/500\n", "50/50 [==============================] - 0s - loss: 0.1985 \n", "Epoch 8/500\n", "50/50 [==============================] - 0s - loss: 0.1369 \n", "Epoch 9/500\n", "50/50 [==============================] - 0s - loss: 0.0917 \n", "Epoch 10/500\n", "50/50 [==============================] - 0s - loss: 0.0664 \n", "Epoch 11/500\n", "50/50 [==============================] - 0s - loss: 0.0537 \n", "Epoch 12/500\n", "50/50 [==============================] - 0s - loss: 0.0507 \n", "Epoch 13/500\n", "50/50 [==============================] - 0s - loss: 0.0455 \n", "Epoch 14/500\n", "50/50 [==============================] - 0s - loss: 0.0379 \n", "Epoch 15/500\n", "50/50 [==============================] - 0s - loss: 0.0321 \n", "Epoch 16/500\n", "50/50 [==============================] - 0s - loss: 0.0294 \n", "Epoch 17/500\n", "50/50 [==============================] - 0s - loss: 0.0243 \n", "Epoch 18/500\n", "50/50 [==============================] - 0s - loss: 0.0211 \n", "Epoch 19/500\n", "50/50 [==============================] - 0s - loss: 0.0187 \n", "Epoch 20/500\n", "50/50 [==============================] - 0s - loss: 0.0172 \n", "Epoch 21/500\n", "50/50 [==============================] - 0s - loss: 0.0160 \n", "Epoch 22/500\n", "50/50 [==============================] - 0s - loss: 0.0148 \n", "Epoch 23/500\n", "50/50 [==============================] - 0s - loss: 0.0140 \n", "Epoch 24/500\n", "50/50 [==============================] - 0s - loss: 0.0133 \n", "Epoch 25/500\n", "50/50 [==============================] - 0s - loss: 0.0135 \n", "Epoch 26/500\n", "50/50 [==============================] - 0s - loss: 0.0127 \n", "Epoch 27/500\n", "50/50 [==============================] - 0s - loss: 0.0126 \n", "Epoch 28/500\n", "50/50 [==============================] - 0s - loss: 0.0115 \n", "Epoch 29/500\n", "50/50 [==============================] - 0s - loss: 0.0107 \n", "Epoch 30/500\n", "50/50 [==============================] - 0s - loss: 0.0104 \n", "Epoch 31/500\n", "50/50 [==============================] - 0s - loss: 0.0102 \n", "Epoch 32/500\n", "50/50 [==============================] - 0s - loss: 0.0092 \n", "Epoch 33/500\n", "50/50 [==============================] - 0s - loss: 0.0086 \n", "Epoch 34/500\n", "50/50 [==============================] - 0s - loss: 0.0083 \n", "Epoch 35/500\n", "50/50 [==============================] - 0s - loss: 0.0080 \n", "Epoch 36/500\n", "50/50 [==============================] - 0s - loss: 0.0079 \n", "Epoch 37/500\n", "50/50 [==============================] - 0s - loss: 0.0075 \n", "Epoch 38/500\n", "50/50 [==============================] - 0s - loss: 0.0072 \n", "Epoch 39/500\n", "50/50 [==============================] - 0s - loss: 0.0075 \n", "Epoch 40/500\n", "50/50 [==============================] - 0s - loss: 0.0077 \n", "Epoch 41/500\n", "50/50 [==============================] - 0s - loss: 0.0069 \n", "Epoch 42/500\n", "50/50 [==============================] - 0s - loss: 0.0065 \n", "Epoch 43/500\n", "50/50 [==============================] - 0s - loss: 0.0060 \n", "Epoch 44/500\n", "50/50 [==============================] - 0s - loss: 0.0058 \n", "Epoch 45/500\n", "50/50 [==============================] - 0s - loss: 0.0056 \n", "Epoch 46/500\n", "50/50 [==============================] - 0s - loss: 0.0054 \n", "Epoch 47/500\n", "50/50 [==============================] - 0s - loss: 0.0054 \n", "Epoch 48/500\n", "50/50 [==============================] - 0s - loss: 0.0056 \n", "Epoch 49/500\n", "50/50 [==============================] - 0s - loss: 0.0050 \n", "Epoch 50/500\n", "50/50 [==============================] - 0s - loss: 0.0052 \n", "Epoch 51/500\n", "50/50 [==============================] - 0s - loss: 0.0046 \n", "Epoch 52/500\n", "50/50 [==============================] - 0s - loss: 0.0044 \n", "Epoch 53/500\n", "50/50 [==============================] - 0s - loss: 0.0042 \n", "Epoch 54/500\n", "50/50 [==============================] - 0s - loss: 0.0040 \n", "Epoch 55/500\n", "50/50 [==============================] - 0s - loss: 0.0039 \n", "Epoch 56/500\n", "50/50 [==============================] - 0s - loss: 0.0038 \n", "Epoch 57/500\n", "50/50 [==============================] - 0s - loss: 0.0037 \n", "Epoch 58/500\n", "50/50 [==============================] - 0s - loss: 0.0038 \n", "Epoch 59/500\n", "50/50 [==============================] - 0s - loss: 0.0034 \n", "Epoch 60/500\n", "50/50 [==============================] - 0s - loss: 0.0035 \n", "Epoch 61/500\n", "50/50 [==============================] - 0s - loss: 0.0036 \n", "Epoch 62/500\n", "50/50 [==============================] - 0s - loss: 0.0034 \n", "Epoch 63/500\n", "50/50 [==============================] - 0s - loss: 0.0031 \n", "Epoch 64/500\n", "50/50 [==============================] - 0s - loss: 0.0031 \n", "Epoch 65/500\n", "50/50 [==============================] - 0s - loss: 0.0028 \n", "Epoch 66/500\n", "50/50 [==============================] - 0s - loss: 0.0027 \n", "Epoch 67/500\n", "50/50 [==============================] - 0s - loss: 0.0025 \n", "Epoch 68/500\n", "50/50 [==============================] - 0s - loss: 0.0028 \n", "Epoch 69/500\n", "50/50 [==============================] - 0s - loss: 0.0026 \n", "Epoch 70/500\n", "50/50 [==============================] - 0s - loss: 0.0026 \n", "Epoch 71/500\n", "50/50 [==============================] - 0s - loss: 0.0024 \n", "Epoch 72/500\n", "50/50 [==============================] - 0s - loss: 0.0025 \n", "Epoch 73/500\n", "50/50 [==============================] - 0s - loss: 0.0023 \n", "Epoch 74/500\n", "50/50 [==============================] - 0s - loss: 0.0021 \n", "Epoch 75/500\n", "50/50 [==============================] - 0s - loss: 0.0021 - ETA: 0s - loss: 0.002\n", "Epoch 76/500\n", "50/50 [==============================] - 0s - loss: 0.0022 \n", "Epoch 77/500\n", "50/50 [==============================] - 0s - loss: 0.0032 \n", "Epoch 78/500\n", "50/50 [==============================] - 0s - loss: 0.0071 \n", "Epoch 79/500\n", "50/50 [==============================] - 0s - loss: 0.0109 \n", "Epoch 80/500\n", "50/50 [==============================] - 0s - loss: 0.0062 \n", "Epoch 81/500\n", "50/50 [==============================] - 0s - loss: 0.0036 \n", "Epoch 82/500\n", "50/50 [==============================] - 0s - loss: 0.0032 \n", "Epoch 83/500\n", "50/50 [==============================] - 0s - loss: 0.0033 \n", "Epoch 84/500\n", "50/50 [==============================] - 0s - loss: 0.0031 \n", "Epoch 85/500\n", "50/50 [==============================] - 0s - loss: 0.0018 \n", "Epoch 86/500\n", "50/50 [==============================] - 0s - loss: 0.0016 \n", "Epoch 87/500\n", "50/50 [==============================] - 0s - loss: 0.0016 \n", "Epoch 88/500\n", "50/50 [==============================] - 0s - loss: 0.0016 \n", "Epoch 89/500\n", "50/50 [==============================] - 0s - loss: 0.0014 \n", "Epoch 90/500\n", "50/50 [==============================] - 0s - loss: 0.0014 \n", "Epoch 91/500\n", "50/50 [==============================] - 0s - loss: 0.0013 \n", "Epoch 92/500\n", "50/50 [==============================] - 0s - loss: 0.0013 \n", "Epoch 93/500\n", "50/50 [==============================] - 0s - loss: 0.0013 \n", "Epoch 94/500\n", "50/50 [==============================] - 0s - loss: 0.0013 \n", "Epoch 95/500\n", "50/50 [==============================] - 0s - loss: 0.0012 \n", "Epoch 96/500\n", "50/50 [==============================] - 0s - loss: 0.0012 \n", "Epoch 97/500\n", "50/50 [==============================] - 0s - loss: 0.0012 \n", "Epoch 98/500\n", "50/50 [==============================] - 0s - loss: 0.0012 \n", "Epoch 99/500\n", "50/50 [==============================] - 0s - loss: 0.0012 \n", "Epoch 100/500\n", "50/50 [==============================] - 0s - loss: 0.0011 \n", "Epoch 101/500\n", "50/50 [==============================] - 0s - loss: 0.0011 \n", "Epoch 102/500\n", "50/50 [==============================] - 0s - loss: 0.0010 \n", "Epoch 103/500\n", "50/50 [==============================] - 0s - loss: 9.9540e-04 \n", "Epoch 104/500\n", "50/50 [==============================] - 0s - loss: 0.0012 \n", "Epoch 105/500\n", "50/50 [==============================] - 0s - loss: 0.0010 \n", "Epoch 106/500\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "50/50 [==============================] - 0s - loss: 9.3900e-04 \n", "Epoch 107/500\n", "50/50 [==============================] - 0s - loss: 8.6306e-04 \n", "Epoch 108/500\n", "50/50 [==============================] - 0s - loss: 9.7012e-04 \n", "Epoch 109/500\n", "50/50 [==============================] - 0s - loss: 8.7211e-04 \n", "Epoch 110/500\n", "50/50 [==============================] - 0s - loss: 8.2063e-04 \n", "Epoch 111/500\n", "50/50 [==============================] - 0s - loss: 8.4548e-04 \n", "Epoch 112/500\n", "50/50 [==============================] - 0s - loss: 8.4234e-04 \n", "Epoch 113/500\n", "50/50 [==============================] - 0s - loss: 8.3152e-04 \n", "Epoch 114/500\n", "50/50 [==============================] - 0s - loss: 7.2001e-04 \n", "Epoch 115/500\n", "50/50 [==============================] - 0s - loss: 7.1898e-04 \n", "Epoch 116/500\n", "50/50 [==============================] - 0s - loss: 7.3957e-04 \n", "Epoch 117/500\n", "50/50 [==============================] - 0s - loss: 6.6625e-04 \n", "Epoch 118/500\n", "50/50 [==============================] - 0s - loss: 6.4070e-04 \n", "Epoch 119/500\n", "50/50 [==============================] - 0s - loss: 6.3508e-04 \n", "Epoch 120/500\n", "50/50 [==============================] - 0s - loss: 6.2142e-04 \n", "Epoch 121/500\n", "50/50 [==============================] - 0s - loss: 6.2765e-04 \n", "Epoch 122/500\n", "50/50 [==============================] - 0s - loss: 5.8295e-04 \n", "Epoch 123/500\n", "50/50 [==============================] - 0s - loss: 6.0148e-04 \n", "Epoch 124/500\n", "50/50 [==============================] - 0s - loss: 6.2649e-04 \n", "Epoch 125/500\n", "50/50 [==============================] - 0s - loss: 6.5747e-04 \n", "Epoch 126/500\n", "50/50 [==============================] - 0s - loss: 5.8412e-04 \n", "Epoch 127/500\n", "50/50 [==============================] - 0s - loss: 5.8410e-04 \n", "Epoch 128/500\n", "50/50 [==============================] - 0s - loss: 5.7684e-04 \n", "Epoch 129/500\n", "50/50 [==============================] - 0s - loss: 5.5215e-04 \n", "Epoch 130/500\n", "50/50 [==============================] - 0s - loss: 5.0752e-04 \n", "Epoch 131/500\n", "50/50 [==============================] - 0s - loss: 6.2825e-04 \n", "Epoch 132/500\n", "50/50 [==============================] - 0s - loss: 5.9073e-04 \n", "Epoch 133/500\n", "50/50 [==============================] - 0s - loss: 5.2371e-04 \n", "Epoch 134/500\n", "50/50 [==============================] - 0s - loss: 5.3094e-04 \n", "Epoch 135/500\n", "50/50 [==============================] - 0s - loss: 5.5685e-04 \n", "Epoch 136/500\n", "50/50 [==============================] - 0s - loss: 6.0214e-04 \n", "Epoch 137/500\n", "50/50 [==============================] - 0s - loss: 5.5475e-04 \n", "Epoch 138/500\n", "50/50 [==============================] - 0s - loss: 6.0385e-04 \n", "Epoch 139/500\n", "50/50 [==============================] - 0s - loss: 6.2732e-04 \n", "Epoch 140/500\n", "50/50 [==============================] - 0s - loss: 5.3687e-04 \n", "Epoch 141/500\n", "50/50 [==============================] - 0s - loss: 4.6819e-04 \n", "Epoch 142/500\n", "50/50 [==============================] - 0s - loss: 4.2603e-04 \n", "Epoch 143/500\n", "50/50 [==============================] - 0s - loss: 4.3863e-04 \n", "Epoch 144/500\n", "50/50 [==============================] - 0s - loss: 4.7734e-04 \n", "Epoch 145/500\n", "50/50 [==============================] - 0s - loss: 4.7682e-04 \n", "Epoch 146/500\n", "50/50 [==============================] - 0s - loss: 6.8893e-04 \n", "Epoch 147/500\n", "50/50 [==============================] - 0s - loss: 6.0450e-04 \n", "Epoch 148/500\n", "50/50 [==============================] - 0s - loss: 7.4836e-04 \n", "Epoch 149/500\n", "50/50 [==============================] - 0s - loss: 6.4839e-04 \n", "Epoch 150/500\n", "50/50 [==============================] - 0s - loss: 4.3505e-04 \n", "Epoch 151/500\n", "50/50 [==============================] - 0s - loss: 4.6765e-04 \n", "Epoch 152/500\n", "50/50 [==============================] - 0s - loss: 7.7781e-04 \n", "Epoch 153/500\n", "50/50 [==============================] - 0s - loss: 4.4484e-04 \n", "Epoch 154/500\n", "50/50 [==============================] - 0s - loss: 3.9103e-04 \n", "Epoch 155/500\n", "50/50 [==============================] - 0s - loss: 3.6901e-04 \n", "Epoch 156/500\n", "50/50 [==============================] - 0s - loss: 3.9295e-04 \n", "Epoch 157/500\n", "50/50 [==============================] - 0s - loss: 5.4332e-04 \n", "Epoch 158/500\n", "50/50 [==============================] - 0s - loss: 5.0417e-04 \n", "Epoch 159/500\n", "50/50 [==============================] - 0s - loss: 3.8884e-04 \n", "Epoch 160/500\n", "50/50 [==============================] - 0s - loss: 5.1077e-04 \n", "Epoch 161/500\n", "50/50 [==============================] - 0s - loss: 5.1659e-04 \n", "Epoch 162/500\n", "50/50 [==============================] - 0s - loss: 4.2155e-04 \n", "Epoch 163/500\n", "50/50 [==============================] - 0s - loss: 4.1924e-04 \n", "Epoch 164/500\n", "50/50 [==============================] - 0s - loss: 4.5399e-04 \n", "Epoch 165/500\n", "50/50 [==============================] - 0s - loss: 4.4368e-04 \n", "Epoch 166/500\n", "50/50 [==============================] - 0s - loss: 6.7781e-04 \n", "Epoch 167/500\n", "50/50 [==============================] - 0s - loss: 8.0861e-04 \n", "Epoch 168/500\n", "50/50 [==============================] - 0s - loss: 7.2386e-04 \n", "Epoch 169/500\n", "50/50 [==============================] - 0s - loss: 6.6802e-04 \n", "Epoch 170/500\n", "50/50 [==============================] - 0s - loss: 7.4168e-04 \n", "Epoch 171/500\n", "50/50 [==============================] - 0s - loss: 7.4797e-04 \n", "Epoch 172/500\n", "50/50 [==============================] - 0s - loss: 8.7365e-04 \n", "Epoch 173/500\n", "50/50 [==============================] - 0s - loss: 0.0012 \n", "Epoch 174/500\n", "50/50 [==============================] - 0s - loss: 0.0015 \n", "Epoch 175/500\n", "50/50 [==============================] - 0s - loss: 9.7627e-04 \n", "Epoch 176/500\n", "50/50 [==============================] - 0s - loss: 0.0012 \n", "Epoch 177/500\n", "50/50 [==============================] - 0s - loss: 0.0030 \n", "Epoch 178/500\n", "50/50 [==============================] - 0s - loss: 0.0049 \n", "Epoch 179/500\n", "50/50 [==============================] - 0s - loss: 0.0048 \n", "Epoch 180/500\n", "50/50 [==============================] - 0s - loss: 0.0040 \n", "Epoch 181/500\n", "50/50 [==============================] - 0s - loss: 0.0018 \n", "Epoch 182/500\n", "50/50 [==============================] - 0s - loss: 0.0012 \n", "Epoch 183/500\n", "50/50 [==============================] - 0s - loss: 6.2884e-04 \n", "Epoch 184/500\n", "50/50 [==============================] - 0s - loss: 5.2463e-04 \n", "Epoch 185/500\n", "50/50 [==============================] - 0s - loss: 4.0351e-04 \n", "Epoch 186/500\n", "50/50 [==============================] - 0s - loss: 4.0223e-04 \n", "Epoch 187/500\n", "50/50 [==============================] - 0s - loss: 3.1661e-04 \n", "Epoch 188/500\n", "50/50 [==============================] - 0s - loss: 2.9531e-04 \n", "Epoch 189/500\n", "50/50 [==============================] - 0s - loss: 3.2701e-04 \n", "Epoch 190/500\n", "50/50 [==============================] - 0s - loss: 3.2263e-04 \n", "Epoch 191/500\n", "50/50 [==============================] - 0s - loss: 2.8106e-04 \n", "Epoch 192/500\n", "50/50 [==============================] - 0s - loss: 3.2185e-04 \n", "Epoch 193/500\n", "50/50 [==============================] - 0s - loss: 3.5287e-04 \n", "Epoch 194/500\n", "50/50 [==============================] - 0s - loss: 4.5820e-04 \n", "Epoch 195/500\n", "50/50 [==============================] - 0s - loss: 4.4261e-04 \n", "Epoch 196/500\n", "50/50 [==============================] - 0s - loss: 2.9419e-04 \n", "Epoch 197/500\n", "50/50 [==============================] - 0s - loss: 3.0149e-04 \n", "Epoch 198/500\n", "50/50 [==============================] - 0s - loss: 3.0429e-04 \n", "Epoch 199/500\n", "50/50 [==============================] - 0s - loss: 3.2660e-04 \n", "Epoch 200/500\n", "50/50 [==============================] - 0s - loss: 3.3344e-04 \n", "Epoch 201/500\n", "50/50 [==============================] - 0s - loss: 3.1503e-04 \n", "Epoch 202/500\n", "50/50 [==============================] - 0s - loss: 3.2051e-04 \n", "Epoch 203/500\n", "50/50 [==============================] - 0s - loss: 3.4153e-04 \n", "Epoch 204/500\n", "50/50 [==============================] - 0s - loss: 2.9351e-04 \n", "Epoch 205/500\n", "50/50 [==============================] - 0s - loss: 2.9367e-04 \n", "Epoch 206/500\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "50/50 [==============================] - 0s - loss: 4.2652e-04 \n", "Epoch 207/500\n", "50/50 [==============================] - 0s - loss: 3.2714e-04 \n", "Epoch 208/500\n", "50/50 [==============================] - 0s - loss: 2.5145e-04 \n", "Epoch 209/500\n", "50/50 [==============================] - 0s - loss: 2.4544e-04 \n", "Epoch 210/500\n", "50/50 [==============================] - 0s - loss: 2.3658e-04 \n", "Epoch 211/500\n", "50/50 [==============================] - 0s - loss: 2.5982e-04 \n", "Epoch 212/500\n", "50/50 [==============================] - 0s - loss: 2.5750e-04 \n", "Epoch 213/500\n", "50/50 [==============================] - 0s - loss: 2.6585e-04 \n", "Epoch 214/500\n", "50/50 [==============================] - 0s - loss: 2.3055e-04 \n", "Epoch 215/500\n", "50/50 [==============================] - 0s - loss: 2.3492e-04 \n", "Epoch 216/500\n", "50/50 [==============================] - 0s - loss: 2.6619e-04 \n", "Epoch 217/500\n", "50/50 [==============================] - 0s - loss: 3.6358e-04 \n", "Epoch 218/500\n", "50/50 [==============================] - 0s - loss: 3.1374e-04 \n", "Epoch 219/500\n", "50/50 [==============================] - 0s - loss: 3.2507e-04 \n", "Epoch 220/500\n", "50/50 [==============================] - 0s - loss: 3.0830e-04 \n", "Epoch 221/500\n", "50/50 [==============================] - 0s - loss: 5.8492e-04 \n", "Epoch 222/500\n", "50/50 [==============================] - 0s - loss: 0.0011 \n", "Epoch 223/500\n", "50/50 [==============================] - 0s - loss: 4.5097e-04 \n", "Epoch 224/500\n", "50/50 [==============================] - 0s - loss: 3.2624e-04 \n", "Epoch 225/500\n", "50/50 [==============================] - 0s - loss: 4.2638e-04 \n", "Epoch 226/500\n", "50/50 [==============================] - 0s - loss: 6.6101e-04 \n", "Epoch 227/500\n", "50/50 [==============================] - 0s - loss: 4.8701e-04 \n", "Epoch 228/500\n", "50/50 [==============================] - 0s - loss: 2.9974e-04 \n", "Epoch 229/500\n", "50/50 [==============================] - 0s - loss: 3.0616e-04 \n", "Epoch 230/500\n", "50/50 [==============================] - 0s - loss: 3.3078e-04 \n", "Epoch 231/500\n", "50/50 [==============================] - 0s - loss: 3.0372e-04 \n", "Epoch 232/500\n", "50/50 [==============================] - 0s - loss: 2.8556e-04 \n", "Epoch 233/500\n", "50/50 [==============================] - 0s - loss: 2.3768e-04 \n", "Epoch 234/500\n", "50/50 [==============================] - 0s - loss: 2.3714e-04 \n", "Epoch 235/500\n", "50/50 [==============================] - 0s - loss: 2.0852e-04 \n", "Epoch 236/500\n", "50/50 [==============================] - 0s - loss: 2.1143e-04 \n", "Epoch 237/500\n", "50/50 [==============================] - 0s - loss: 2.1716e-04 \n", "Epoch 238/500\n", "50/50 [==============================] - 0s - loss: 2.2629e-04 \n", "Epoch 239/500\n", "50/50 [==============================] - 0s - loss: 2.4910e-04 \n", "Epoch 240/500\n", "50/50 [==============================] - 0s - loss: 2.3781e-04 \n", "Epoch 241/500\n", "50/50 [==============================] - 0s - loss: 2.0425e-04 \n", "Epoch 242/500\n", "50/50 [==============================] - 0s - loss: 1.9270e-04 \n", "Epoch 243/500\n", "50/50 [==============================] - 0s - loss: 1.8579e-04 \n", "Epoch 244/500\n", "50/50 [==============================] - 0s - loss: 1.9801e-04 \n", "Epoch 245/500\n", "50/50 [==============================] - 0s - loss: 2.1311e-04 \n", "Epoch 246/500\n", "50/50 [==============================] - 0s - loss: 2.9330e-04 \n", "Epoch 247/500\n", "50/50 [==============================] - 0s - loss: 3.4217e-04 \n", "Epoch 248/500\n", "50/50 [==============================] - 0s - loss: 3.3469e-04 \n", "Epoch 249/500\n", "50/50 [==============================] - 0s - loss: 6.2751e-04 \n", "Epoch 250/500\n", "50/50 [==============================] - 0s - loss: 0.0010 \n", "Epoch 251/500\n", "50/50 [==============================] - 0s - loss: 0.0019 \n", "Epoch 252/500\n", "50/50 [==============================] - 0s - loss: 0.0018 \n", "Epoch 253/500\n", "50/50 [==============================] - 0s - loss: 8.2607e-04 \n", "Epoch 254/500\n", "50/50 [==============================] - 0s - loss: 9.7295e-04 \n", "Epoch 255/500\n", "50/50 [==============================] - 0s - loss: 8.9717e-04 \n", "Epoch 256/500\n", "50/50 [==============================] - 0s - loss: 0.0012 \n", "Epoch 257/500\n", "50/50 [==============================] - 0s - loss: 4.6826e-04 \n", "Epoch 258/500\n", "50/50 [==============================] - 0s - loss: 5.2367e-04 \n", "Epoch 259/500\n", "50/50 [==============================] - 0s - loss: 4.3869e-04 \n", "Epoch 260/500\n", "50/50 [==============================] - 0s - loss: 3.1204e-04 \n", "Epoch 261/500\n", "50/50 [==============================] - 0s - loss: 2.8442e-04 \n", "Epoch 262/500\n", "50/50 [==============================] - 0s - loss: 3.4017e-04 \n", "Epoch 263/500\n", "50/50 [==============================] - 0s - loss: 2.3892e-04 \n", "Epoch 264/500\n", "50/50 [==============================] - 0s - loss: 1.6401e-04 \n", "Epoch 265/500\n", "50/50 [==============================] - 0s - loss: 1.7688e-04 \n", "Epoch 266/500\n", "50/50 [==============================] - 0s - loss: 1.8120e-04 \n", "Epoch 267/500\n", "50/50 [==============================] - 0s - loss: 1.9500e-04 \n", "Epoch 268/500\n", "50/50 [==============================] - 0s - loss: 2.1498e-04 \n", "Epoch 269/500\n", "50/50 [==============================] - 0s - loss: 2.2383e-04 \n", "Epoch 270/500\n", "50/50 [==============================] - 0s - loss: 3.5013e-04 \n", "Epoch 271/500\n", "50/50 [==============================] - 0s - loss: 2.8964e-04 \n", "Epoch 272/500\n", "50/50 [==============================] - 0s - loss: 2.4384e-04 \n", "Epoch 273/500\n", "50/50 [==============================] - 0s - loss: 2.0750e-04 \n", "Epoch 274/500\n", "50/50 [==============================] - 0s - loss: 1.9713e-04 \n", "Epoch 275/500\n", "50/50 [==============================] - 0s - loss: 1.9325e-04 \n", "Epoch 276/500\n", "50/50 [==============================] - 0s - loss: 1.7192e-04 \n", "Epoch 277/500\n", "50/50 [==============================] - 0s - loss: 2.0703e-04 \n", "Epoch 278/500\n", "50/50 [==============================] - 0s - loss: 1.7470e-04 \n", "Epoch 279/500\n", "50/50 [==============================] - 0s - loss: 1.9346e-04 \n", "Epoch 280/500\n", "50/50 [==============================] - 0s - loss: 1.7791e-04 \n", "Epoch 281/500\n", "50/50 [==============================] - 0s - loss: 1.6172e-04 \n", "Epoch 282/500\n", "50/50 [==============================] - 0s - loss: 1.5737e-04 \n", "Epoch 283/500\n", "50/50 [==============================] - 0s - loss: 1.6304e-04 \n", "Epoch 284/500\n", "50/50 [==============================] - 0s - loss: 1.3964e-04 \n", "Epoch 285/500\n", "50/50 [==============================] - 0s - loss: 1.4456e-04 \n", "Epoch 286/500\n", "50/50 [==============================] - 0s - loss: 1.4176e-04 \n", "Epoch 287/500\n", "50/50 [==============================] - 0s - loss: 1.4758e-04 \n", "Epoch 288/500\n", "50/50 [==============================] - 0s - loss: 1.5645e-04 \n", "Epoch 289/500\n", "50/50 [==============================] - 0s - loss: 1.5490e-04 \n", "Epoch 290/500\n", "50/50 [==============================] - 0s - loss: 1.6918e-04 \n", "Epoch 291/500\n", "50/50 [==============================] - 0s - loss: 1.5733e-04 \n", "Epoch 292/500\n", "50/50 [==============================] - 0s - loss: 1.7729e-04 \n", "Epoch 293/500\n", "50/50 [==============================] - 0s - loss: 1.5604e-04 \n", "Epoch 294/500\n", "50/50 [==============================] - 0s - loss: 1.5673e-04 \n", "Epoch 295/500\n", "50/50 [==============================] - 0s - loss: 1.6785e-04 \n", "Epoch 296/500\n", "50/50 [==============================] - 0s - loss: 2.3351e-04 \n", "Epoch 297/500\n", "50/50 [==============================] - 0s - loss: 3.4187e-04 \n", "Epoch 298/500\n", "50/50 [==============================] - 0s - loss: 2.8274e-04 \n", "Epoch 299/500\n", "50/50 [==============================] - 0s - loss: 7.4605e-04 \n", "Epoch 300/500\n", "50/50 [==============================] - 0s - loss: 7.1247e-04 \n", "Epoch 301/500\n", "50/50 [==============================] - 0s - loss: 0.0018 \n", "Epoch 302/500\n", "50/50 [==============================] - 0s - loss: 0.0012 \n", "Epoch 303/500\n", "50/50 [==============================] - 0s - loss: 0.0013 \n", "Epoch 304/500\n", "50/50 [==============================] - 0s - loss: 8.2988e-04 \n", "Epoch 305/500\n", "50/50 [==============================] - 0s - loss: 0.0014 \n", "Epoch 306/500\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "50/50 [==============================] - 0s - loss: 0.0010 \n", "Epoch 307/500\n", "50/50 [==============================] - 0s - loss: 0.0010 \n", "Epoch 308/500\n", "50/50 [==============================] - 0s - loss: 6.2367e-04 \n", "Epoch 309/500\n", "50/50 [==============================] - 0s - loss: 4.3657e-04 \n", "Epoch 310/500\n", "50/50 [==============================] - 0s - loss: 5.3147e-04 \n", "Epoch 311/500\n", "50/50 [==============================] - 0s - loss: 6.3534e-04 \n", "Epoch 312/500\n", "50/50 [==============================] - 0s - loss: 4.8613e-04 \n", "Epoch 313/500\n", "50/50 [==============================] - 0s - loss: 4.6632e-04 \n", "Epoch 314/500\n", "50/50 [==============================] - 0s - loss: 5.1928e-04 \n", "Epoch 315/500\n", "50/50 [==============================] - 0s - loss: 4.0766e-04 \n", "Epoch 316/500\n", "50/50 [==============================] - 0s - loss: 3.1295e-04 \n", "Epoch 317/500\n", "50/50 [==============================] - 0s - loss: 1.5869e-04 \n", "Epoch 318/500\n", "50/50 [==============================] - 0s - loss: 1.3559e-04 \n", "Epoch 319/500\n", "50/50 [==============================] - 0s - loss: 1.9816e-04 \n", "Epoch 320/500\n", "50/50 [==============================] - 0s - loss: 2.3883e-04 \n", "Epoch 321/500\n", "50/50 [==============================] - 0s - loss: 2.7415e-04 \n", "Epoch 322/500\n", "50/50 [==============================] - 0s - loss: 1.7932e-04 \n", "Epoch 323/500\n", "50/50 [==============================] - 0s - loss: 1.8675e-04 \n", "Epoch 324/500\n", "50/50 [==============================] - 0s - loss: 2.0247e-04 \n", "Epoch 325/500\n", "50/50 [==============================] - 0s - loss: 2.7127e-04 \n", "Epoch 326/500\n", "50/50 [==============================] - 0s - loss: 4.1569e-04 \n", "Epoch 327/500\n", "50/50 [==============================] - 0s - loss: 1.6736e-04 \n", "Epoch 328/500\n", "50/50 [==============================] - 0s - loss: 1.5547e-04 \n", "Epoch 329/500\n", "50/50 [==============================] - 0s - loss: 1.3511e-04 \n", "Epoch 330/500\n", "50/50 [==============================] - 0s - loss: 1.2903e-04 \n", "Epoch 331/500\n", "50/50 [==============================] - 0s - loss: 1.4018e-04 \n", "Epoch 332/500\n", "50/50 [==============================] - 0s - loss: 1.2294e-04 \n", "Epoch 333/500\n", "50/50 [==============================] - 0s - loss: 1.1013e-04 \n", "Epoch 334/500\n", "50/50 [==============================] - 0s - loss: 1.1959e-04 \n", "Epoch 335/500\n", "50/50 [==============================] - 0s - loss: 1.2213e-04 \n", "Epoch 336/500\n", "50/50 [==============================] - 0s - loss: 1.3356e-04 \n", "Epoch 337/500\n", "50/50 [==============================] - 0s - loss: 1.3340e-04 \n", "Epoch 338/500\n", "50/50 [==============================] - 0s - loss: 1.3023e-04 \n", "Epoch 339/500\n", "50/50 [==============================] - 0s - loss: 1.4317e-04 \n", "Epoch 340/500\n", "50/50 [==============================] - 0s - loss: 2.4639e-04 \n", "Epoch 341/500\n", "50/50 [==============================] - 0s - loss: 3.4356e-04 \n", "Epoch 342/500\n", "50/50 [==============================] - 0s - loss: 7.7125e-04 \n", "Epoch 343/500\n", "50/50 [==============================] - 0s - loss: 0.0012 \n", "Epoch 344/500\n", "50/50 [==============================] - 0s - loss: 9.5286e-04 \n", "Epoch 345/500\n", "50/50 [==============================] - 0s - loss: 5.0073e-04 \n", "Epoch 346/500\n", "50/50 [==============================] - 0s - loss: 1.8193e-04 \n", "Epoch 347/500\n", "50/50 [==============================] - 0s - loss: 1.6465e-04 \n", "Epoch 348/500\n", "50/50 [==============================] - 0s - loss: 1.9031e-04 \n", "Epoch 349/500\n", "50/50 [==============================] - 0s - loss: 3.1856e-04 \n", "Epoch 350/500\n", "50/50 [==============================] - 0s - loss: 1.7926e-04 \n", "Epoch 351/500\n", "50/50 [==============================] - 0s - loss: 2.2730e-04 \n", "Epoch 352/500\n", "50/50 [==============================] - 0s - loss: 2.0651e-04 \n", "Epoch 353/500\n", "50/50 [==============================] - 0s - loss: 2.1259e-04 \n", "Epoch 354/500\n", "50/50 [==============================] - 0s - loss: 1.9287e-04 \n", "Epoch 355/500\n", "50/50 [==============================] - 0s - loss: 2.5754e-04 \n", "Epoch 356/500\n", "50/50 [==============================] - 0s - loss: 1.8971e-04 \n", "Epoch 357/500\n", "50/50 [==============================] - 0s - loss: 1.9872e-04 \n", "Epoch 358/500\n", "50/50 [==============================] - 0s - loss: 1.6058e-04 \n", "Epoch 359/500\n", "50/50 [==============================] - 0s - loss: 1.3750e-04 \n", "Epoch 360/500\n", "50/50 [==============================] - 0s - loss: 1.1955e-04 \n", "Epoch 361/500\n", "50/50 [==============================] - 0s - loss: 1.1172e-04 \n", "Epoch 362/500\n", "50/50 [==============================] - 0s - loss: 1.1305e-04 \n", "Epoch 363/500\n", "50/50 [==============================] - 0s - loss: 1.1997e-04 \n", "Epoch 364/500\n", "50/50 [==============================] - 0s - loss: 1.0658e-04 \n", "Epoch 365/500\n", "50/50 [==============================] - 0s - loss: 1.0188e-04 \n", "Epoch 366/500\n", "50/50 [==============================] - 0s - loss: 1.0373e-04 \n", "Epoch 367/500\n", "50/50 [==============================] - 0s - loss: 1.0062e-04 \n", "Epoch 368/500\n", "50/50 [==============================] - 0s - loss: 9.3453e-05 \n", "Epoch 369/500\n", "50/50 [==============================] - 0s - loss: 1.0263e-04 \n", "Epoch 370/500\n", "50/50 [==============================] - 0s - loss: 9.8204e-05 \n", "Epoch 371/500\n", "50/50 [==============================] - 0s - loss: 9.9297e-05 \n", "Epoch 372/500\n", "50/50 [==============================] - 0s - loss: 1.2152e-04 \n", "Epoch 373/500\n", "50/50 [==============================] - 0s - loss: 1.0667e-04 \n", "Epoch 374/500\n", "50/50 [==============================] - 0s - loss: 9.6208e-05 \n", "Epoch 375/500\n", "50/50 [==============================] - 0s - loss: 1.1083e-04 \n", "Epoch 376/500\n", "50/50 [==============================] - 0s - loss: 1.5626e-04 \n", "Epoch 377/500\n", "50/50 [==============================] - 0s - loss: 1.6902e-04 \n", "Epoch 378/500\n", "50/50 [==============================] - 0s - loss: 1.2281e-04 \n", "Epoch 379/500\n", "50/50 [==============================] - 0s - loss: 1.0164e-04 \n", "Epoch 380/500\n", "50/50 [==============================] - 0s - loss: 9.3808e-05 \n", "Epoch 381/500\n", "50/50 [==============================] - 0s - loss: 1.1797e-04 \n", "Epoch 382/500\n", "50/50 [==============================] - 0s - loss: 1.7151e-04 \n", "Epoch 383/500\n", "50/50 [==============================] - 0s - loss: 1.5230e-04 \n", "Epoch 384/500\n", "50/50 [==============================] - 0s - loss: 1.4393e-04 \n", "Epoch 385/500\n", "50/50 [==============================] - 0s - loss: 2.8754e-04 \n", "Epoch 386/500\n", "50/50 [==============================] - 0s - loss: 5.0727e-04 \n", "Epoch 387/500\n", "50/50 [==============================] - 0s - loss: 6.0481e-04 \n", "Epoch 388/500\n", "50/50 [==============================] - 0s - loss: 4.3744e-04 \n", "Epoch 389/500\n", "50/50 [==============================] - 0s - loss: 6.6372e-04 \n", "Epoch 390/500\n", "50/50 [==============================] - 0s - loss: 2.6848e-04 \n", "Epoch 391/500\n", "50/50 [==============================] - 0s - loss: 1.8372e-04 \n", "Epoch 392/500\n", "50/50 [==============================] - 0s - loss: 2.6044e-04 \n", "Epoch 393/500\n", "50/50 [==============================] - 0s - loss: 2.3628e-04 \n", "Epoch 394/500\n", "50/50 [==============================] - 0s - loss: 1.6265e-04 \n", "Epoch 395/500\n", "50/50 [==============================] - 0s - loss: 2.0938e-04 \n", "Epoch 396/500\n", "50/50 [==============================] - 0s - loss: 9.9512e-05 \n", "Epoch 397/500\n", "50/50 [==============================] - 0s - loss: 1.0325e-04 \n", "Epoch 398/500\n", "50/50 [==============================] - 0s - loss: 1.7551e-04 \n", "Epoch 399/500\n", "50/50 [==============================] - 0s - loss: 2.5023e-04 \n", "Epoch 400/500\n", "50/50 [==============================] - 0s - loss: 1.9458e-04 \n", "Epoch 401/500\n", "50/50 [==============================] - 0s - loss: 1.6818e-04 \n", "Epoch 402/500\n", "50/50 [==============================] - 0s - loss: 1.1085e-04 \n", "Epoch 403/500\n", "50/50 [==============================] - 0s - loss: 9.4352e-05 \n", "Epoch 404/500\n", "50/50 [==============================] - 0s - loss: 1.1952e-04 \n", "Epoch 405/500\n", "50/50 [==============================] - 0s - loss: 9.2653e-05 \n", "Epoch 406/500\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "50/50 [==============================] - 0s - loss: 9.1602e-05 \n", "Epoch 407/500\n", "50/50 [==============================] - 0s - loss: 1.0439e-04 \n", "Epoch 408/500\n", "50/50 [==============================] - 0s - loss: 1.5231e-04 \n", "Epoch 409/500\n", "50/50 [==============================] - 0s - loss: 2.2874e-04 \n", "Epoch 410/500\n", "50/50 [==============================] - 0s - loss: 2.8399e-04 \n", "Epoch 411/500\n", "50/50 [==============================] - 0s - loss: 8.7380e-04 \n", "Epoch 412/500\n", "50/50 [==============================] - 0s - loss: 4.8638e-04 \n", "Epoch 413/500\n", "50/50 [==============================] - 0s - loss: 8.3462e-04 \n", "Epoch 414/500\n", "50/50 [==============================] - 0s - loss: 4.5237e-04 \n", "Epoch 415/500\n", "50/50 [==============================] - 0s - loss: 3.1885e-04 \n", "Epoch 416/500\n", "50/50 [==============================] - 0s - loss: 2.1449e-04 \n", "Epoch 417/500\n", "50/50 [==============================] - 0s - loss: 2.3494e-04 \n", "Epoch 418/500\n", "50/50 [==============================] - 0s - loss: 3.7915e-04 \n", "Epoch 419/500\n", "50/50 [==============================] - 0s - loss: 3.9378e-04 \n", "Epoch 420/500\n", "50/50 [==============================] - 0s - loss: 1.3125e-04 \n", "Epoch 421/500\n", "50/50 [==============================] - 0s - loss: 9.9610e-05 \n", "Epoch 422/500\n", "50/50 [==============================] - 0s - loss: 8.3851e-05 \n", "Epoch 423/500\n", "50/50 [==============================] - 0s - loss: 8.9807e-05 \n", "Epoch 424/500\n", "50/50 [==============================] - 0s - loss: 9.3711e-05 \n", "Epoch 425/500\n", "50/50 [==============================] - 0s - loss: 7.9862e-05 \n", "Epoch 426/500\n", "50/50 [==============================] - 0s - loss: 1.4845e-04 \n", "Epoch 427/500\n", "50/50 [==============================] - 0s - loss: 1.3240e-04 \n", "Epoch 428/500\n", "50/50 [==============================] - 0s - loss: 9.1374e-05 \n", "Epoch 429/500\n", "50/50 [==============================] - 0s - loss: 1.1843e-04 \n", "Epoch 430/500\n", "50/50 [==============================] - 0s - loss: 3.5493e-04 \n", "Epoch 431/500\n", "50/50 [==============================] - 0s - loss: 3.1804e-04 \n", "Epoch 432/500\n", "50/50 [==============================] - 0s - loss: 5.3038e-04 \n", "Epoch 433/500\n", "50/50 [==============================] - 0s - loss: 2.2880e-04 \n", "Epoch 434/500\n", "50/50 [==============================] - 0s - loss: 2.5017e-04 \n", "Epoch 435/500\n", "50/50 [==============================] - 0s - loss: 1.8401e-04 \n", "Epoch 436/500\n", "50/50 [==============================] - 0s - loss: 4.8451e-04 \n", "Epoch 437/500\n", "50/50 [==============================] - 0s - loss: 6.2923e-04 \n", "Epoch 438/500\n", "50/50 [==============================] - 0s - loss: 0.0024 \n", "Epoch 439/500\n", "50/50 [==============================] - ETA: 0s - loss: 0.003 - 0s - loss: 0.0032 \n", "Epoch 440/500\n", "50/50 [==============================] - 0s - loss: 0.0056 \n", "Epoch 441/500\n", "50/50 [==============================] - 0s - loss: 0.0061 \n", "Epoch 442/500\n", "50/50 [==============================] - 0s - loss: 0.0059 \n", "Epoch 443/500\n", "50/50 [==============================] - 0s - loss: 0.0057 \n", "Epoch 444/500\n", "50/50 [==============================] - 0s - loss: 0.0054 \n", "Epoch 445/500\n", "50/50 [==============================] - 0s - loss: 0.0022 \n", "Epoch 446/500\n", "50/50 [==============================] - 0s - loss: 0.0015 \n", "Epoch 447/500\n", "50/50 [==============================] - 0s - loss: 0.0018 \n", "Epoch 448/500\n", "50/50 [==============================] - 0s - loss: 9.3641e-04 \n", "Epoch 449/500\n", "50/50 [==============================] - 0s - loss: 4.6422e-04 \n", "Epoch 450/500\n", "50/50 [==============================] - 0s - loss: 1.7507e-04 \n", "Epoch 451/500\n", "50/50 [==============================] - 0s - loss: 1.2961e-04 \n", "Epoch 452/500\n", "50/50 [==============================] - 0s - loss: 1.2196e-04 \n", "Epoch 453/500\n", "50/50 [==============================] - 0s - loss: 1.3834e-04 \n", "Epoch 454/500\n", "50/50 [==============================] - 0s - loss: 1.4996e-04 \n", "Epoch 455/500\n", "50/50 [==============================] - 0s - loss: 1.4211e-04 \n", "Epoch 456/500\n", "50/50 [==============================] - 0s - loss: 1.2840e-04 \n", "Epoch 457/500\n", "50/50 [==============================] - 0s - loss: 1.1148e-04 \n", "Epoch 458/500\n", "50/50 [==============================] - 0s - loss: 1.0200e-04 \n", "Epoch 459/500\n", "50/50 [==============================] - 0s - loss: 9.4559e-05 \n", "Epoch 460/500\n", "50/50 [==============================] - 0s - loss: 9.0671e-05 \n", "Epoch 461/500\n", "50/50 [==============================] - 0s - loss: 8.7393e-05 \n", "Epoch 462/500\n", "50/50 [==============================] - 0s - loss: 8.2632e-05 \n", "Epoch 463/500\n", "50/50 [==============================] - 0s - loss: 8.2027e-05 \n", "Epoch 464/500\n", "50/50 [==============================] - 0s - loss: 8.3542e-05 \n", "Epoch 465/500\n", "50/50 [==============================] - 0s - loss: 9.3496e-05 \n", "Epoch 466/500\n", "50/50 [==============================] - 0s - loss: 9.1898e-05 \n", "Epoch 467/500\n", "50/50 [==============================] - 0s - loss: 8.7911e-05 \n", "Epoch 468/500\n", "50/50 [==============================] - 0s - loss: 8.1280e-05 \n", "Epoch 469/500\n", "50/50 [==============================] - 0s - loss: 8.0064e-05 \n", "Epoch 470/500\n", "50/50 [==============================] - 0s - loss: 7.4668e-05 \n", "Epoch 471/500\n", "50/50 [==============================] - 0s - loss: 9.8129e-05 \n", "Epoch 472/500\n", "50/50 [==============================] - 0s - loss: 9.8426e-05 \n", "Epoch 473/500\n", "50/50 [==============================] - 0s - loss: 1.0846e-04 \n", "Epoch 474/500\n", "50/50 [==============================] - 0s - loss: 1.2331e-04 \n", "Epoch 475/500\n", "50/50 [==============================] - 0s - loss: 1.0845e-04 \n", "Epoch 476/500\n", "50/50 [==============================] - 0s - loss: 1.2702e-04 \n", "Epoch 477/500\n", "50/50 [==============================] - 0s - loss: 1.2744e-04 \n", "Epoch 478/500\n", "50/50 [==============================] - 0s - loss: 3.6578e-04 \n", "Epoch 479/500\n", "50/50 [==============================] - 0s - loss: 4.6970e-04 \n", "Epoch 480/500\n", "50/50 [==============================] - 0s - loss: 4.2829e-04 \n", "Epoch 481/500\n", "50/50 [==============================] - 0s - loss: 4.3254e-04 \n", "Epoch 482/500\n", "50/50 [==============================] - 0s - loss: 3.0393e-04 \n", "Epoch 483/500\n", "50/50 [==============================] - 0s - loss: 2.0324e-04 \n", "Epoch 484/500\n", "50/50 [==============================] - 0s - loss: 2.0914e-04 \n", "Epoch 485/500\n", "50/50 [==============================] - 0s - loss: 2.0757e-04 \n", "Epoch 486/500\n", "50/50 [==============================] - 0s - loss: 3.1470e-04 \n", "Epoch 487/500\n", "50/50 [==============================] - 0s - loss: 4.4788e-04 \n", "Epoch 488/500\n", "50/50 [==============================] - 0s - loss: 4.7563e-04 \n", "Epoch 489/500\n", "50/50 [==============================] - 0s - loss: 3.3888e-04 \n", "Epoch 490/500\n", "50/50 [==============================] - 0s - loss: 1.5677e-04 \n", "Epoch 491/500\n", "50/50 [==============================] - 0s - loss: 1.3321e-04 \n", "Epoch 492/500\n", "50/50 [==============================] - 0s - loss: 1.4758e-04 \n", "Epoch 493/500\n", "50/50 [==============================] - 0s - loss: 9.5357e-05 \n", "Epoch 494/500\n", "50/50 [==============================] - 0s - loss: 8.4090e-05 \n", "Epoch 495/500\n", "50/50 [==============================] - 0s - loss: 9.1502e-05 \n", "Epoch 496/500\n", "50/50 [==============================] - 0s - loss: 7.8059e-05 \n", "Epoch 497/500\n", "50/50 [==============================] - 0s - loss: 7.9166e-05 \n", "Epoch 498/500\n", "50/50 [==============================] - 0s - loss: 1.3885e-04 \n", "Epoch 499/500\n", "50/50 [==============================] - 0s - loss: 1.2836e-04 \n", "Epoch 500/500\n", "50/50 [==============================] - 0s - loss: 1.1666e-04 \n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 297, "metadata": {}, "output_type": "execute_result" } ], "source": [ "nn_moist_mod.fit(norm_train_input, norm_train_data, epochs=500,batch_size=5)" ] }, { "cell_type": "code", "execution_count": 298, "metadata": { "collapsed": true }, "outputs": [], "source": [ "nn_moist_preds = (nn_moist_mod.predict(norm_test_input) * l_sd + l_mean) * ureg.K" ] }, { "cell_type": "code", "execution_count": 302, "metadata": {}, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAgQAAAJcCAYAAACG37wMAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n4cOHDx/4CwIfPnz48OHDB/D/AGwYC7keQYcsAAAAAElFTkSuQmCC\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(8, 10))\n", "sk = SkewT(fig=fig, rotation=30)\n", "sk.ax.set_xlim(-60, 120)\n", "sk.ax.set_ylim(1000, 100)\n", "for p in range(0, nn_moist_preds.shape[0], 3):\n", " if p == 0:\n", " label = \"True\"\n", " else:\n", " label = None\n", " sk.plot(pressures, (test_data[p]* ureg.K).to(\"degC\"), color=\"red\", label=label, marker='v', ms=5)\n", "for p in range(0, nn_moist_preds.shape[0], 3):\n", " if p == 0:\n", " label = \"Conv Net\"\n", " else:\n", " label = None\n", " sk.plot(pressures, nn_moist_preds[p].to(\"degC\"), color=\"purple\", label=label, marker='o', ms=5)\n", "plt.legend()\n", "plt.xlabel(\"Temperature (C)\")\n", "plt.ylabel(\"Pressure (hPa)\")\n", "plt.title(\"Conv Neural Network Moist Adiabats\")\n", "plt.savefig(\"conv_net_adiabats.pdf\", dpi=200, bbox_inches=\"tight\")" ] }, { "cell_type": "code", "execution_count": 108, "metadata": { "collapsed": true }, "outputs": [], "source": [ "def dt(t, p):\n", " rs = saturation_mixing_ratio(p, t)\n", " frac = ((Rd * t + Lv * rs) /\n", " (Cp_d + (Lv * Lv * rs * epsilon / (Rd * t * t)))).to('kelvin')\n", " return frac / p" ] }, { "cell_type": "code", "execution_count": 124, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(46, 60)\n" ] } ], "source": [ "temps_dt = np.arange(230, 350, 2)\n", "pres_dt = np.arange(100, 1020, 20)\n", "temp_grid, pres_grid = np.meshgrid(temps_dt, pres_dt)\n", "dt_grid = np.zeros(temp_grid.shape)\n", "print(dt_grid.shape)\n", "for (i, j), t in np.ndenumerate(temp_grid):\n", " dt_grid[i, j] = dt(units.Quantity(temp_grid[i, j], \"kelvin\"), \n", " units.Quantity(pres_grid[i, j], \"hPa\")).m" ] }, { "cell_type": "code", "execution_count": 257, "metadata": {}, "outputs": [], "source": [ "nn_lapse_input = Input(shape=(2,))\n", "nn_lapse = Dense(20, activation=\"tanh\")(nn_lapse_input)\n", "nn_lapse = Dense(20, activation=\"tanh\")(nn_lapse)\n", "nn_lapse = Dense(1)(nn_lapse)\n", "nn_lapse_mod = Model(nn_lapse_input, nn_lapse)\n", "opt = SGD(lr=0.001, momentum=0.99, decay=1e-6, nesterov=True)\n", "nn_lapse_mod.compile(opt, \"mse\")\n" ] }, { "cell_type": "code", "execution_count": 214, "metadata": { "collapsed": true }, "outputs": [], "source": [ "lapse_train_data = pd.DataFrame({\"temp\": temp_grid.ravel(), \"pres\": pres_grid.ravel(), \"lapse\": dt_grid.ravel()})\n", "norms = pd.DataFrame(index=lapse_train_data.columns, columns=[\"mean\", \"sd\"], dtype=float)\n", "for col in lapse_train_data.columns:\n", " norms.loc[col, \"mean\"] = lapse_train_data[col].mean()\n", " norms.loc[col, \"sd\"] = lapse_train_data[col].std()\n", " lapse_train_data[col + \"_norm\"] = (lapse_train_data[col] - norms.loc[col, \"mean\"]) / norms.loc[col, \"sd\"]\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 267, "metadata": { "scrolled": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Epoch 1/100\n", "2760/2760 [==============================] - 0s - loss: 2.5946e-04 \n", "Epoch 2/100\n", "2760/2760 [==============================] - 0s - loss: 2.5334e-04 \n", "Epoch 3/100\n", "2760/2760 [==============================] - 0s - loss: 2.4986e-04 \n", "Epoch 4/100\n", "2760/2760 [==============================] - 0s - loss: 2.4147e-04 \n", "Epoch 5/100\n", "2760/2760 [==============================] - 0s - loss: 2.3440e-04 \n", "Epoch 6/100\n", "2760/2760 [==============================] - 0s - loss: 2.2913e-04 \n", "Epoch 7/100\n", "2760/2760 [==============================] - 0s - loss: 2.3300e-04 \n", "Epoch 8/100\n", "2760/2760 [==============================] - 0s - loss: 2.3282e-04 \n", "Epoch 9/100\n", "2760/2760 [==============================] - 0s - loss: 2.2562e-04 \n", "Epoch 10/100\n", "2760/2760 [==============================] - 0s - loss: 2.1956e-04 \n", "Epoch 11/100\n", "2760/2760 [==============================] - 0s - loss: 2.1264e-04 \n", "Epoch 12/100\n", "2760/2760 [==============================] - 0s - loss: 2.2009e-04 \n", "Epoch 13/100\n", "2760/2760 [==============================] - 0s - loss: 2.1862e-04 \n", "Epoch 14/100\n", "2760/2760 [==============================] - 0s - loss: 2.0811e-04 \n", "Epoch 15/100\n", "2760/2760 [==============================] - 0s - loss: 2.0263e-04 \n", "Epoch 16/100\n", "2760/2760 [==============================] - 0s - loss: 2.0873e-04 \n", "Epoch 17/100\n", "2760/2760 [==============================] - 0s - loss: 2.0528e-04 \n", "Epoch 18/100\n", "2760/2760 [==============================] - 0s - loss: 1.9970e-04 \n", "Epoch 19/100\n", "2760/2760 [==============================] - 0s - loss: 1.9522e-04 \n", "Epoch 20/100\n", "2760/2760 [==============================] - 0s - loss: 1.9923e-04 \n", "Epoch 21/100\n", "2760/2760 [==============================] - 0s - loss: 1.9656e-04 \n", "Epoch 22/100\n", "2760/2760 [==============================] - 0s - loss: 2.0064e-04 \n", "Epoch 23/100\n", "2760/2760 [==============================] - 0s - loss: 1.9055e-04 - ETA: 0s - loss: 1\n", "Epoch 24/100\n", "2760/2760 [==============================] - 0s - loss: 1.8448e-04 \n", "Epoch 25/100\n", "2760/2760 [==============================] - 0s - loss: 1.8248e-04 \n", "Epoch 26/100\n", "2760/2760 [==============================] - 0s - loss: 1.8472e-04 \n", "Epoch 27/100\n", "2760/2760 [==============================] - 0s - loss: 1.8384e-04 \n", "Epoch 28/100\n", "2760/2760 [==============================] - 0s - loss: 1.8833e-04 \n", "Epoch 29/100\n", "2760/2760 [==============================] - 0s - loss: 1.7964e-04 \n", "Epoch 30/100\n", "2760/2760 [==============================] - 0s - loss: 1.7543e-04 - ETA: 0s - loss: 2.\n", "Epoch 31/100\n", "2760/2760 [==============================] - 0s - loss: 1.8010e-04 \n", "Epoch 32/100\n", "2760/2760 [==============================] - 0s - loss: 1.7674e-04 \n", "Epoch 33/100\n", "2760/2760 [==============================] - 0s - loss: 1.7656e-04 \n", "Epoch 34/100\n", "2760/2760 [==============================] - 0s - loss: 1.7868e-04 \n", "Epoch 35/100\n", "2760/2760 [==============================] - 0s - loss: 1.7324e-04 \n", "Epoch 36/100\n", "2760/2760 [==============================] - 0s - loss: 1.6833e-04 \n", "Epoch 37/100\n", "2760/2760 [==============================] - 0s - loss: 1.6294e-04 \n", "Epoch 38/100\n", "2760/2760 [==============================] - 0s - loss: 1.6769e-04 \n", "Epoch 39/100\n", "2760/2760 [==============================] - 0s - loss: 1.6437e-04 \n", "Epoch 40/100\n", "2760/2760 [==============================] - 0s - loss: 1.6589e-04 \n", "Epoch 41/100\n", "2760/2760 [==============================] - 0s - loss: 1.5900e-04 \n", "Epoch 42/100\n", "2760/2760 [==============================] - 0s - loss: 1.5613e-04 \n", "Epoch 43/100\n", "2760/2760 [==============================] - 0s - loss: 1.5460e-04 \n", "Epoch 44/100\n", "2760/2760 [==============================] - 0s - loss: 1.5792e-04 \n", "Epoch 45/100\n", "2760/2760 [==============================] - 0s - loss: 1.5385e-04 \n", "Epoch 46/100\n", "2760/2760 [==============================] - 0s - loss: 1.5374e-04 \n", "Epoch 47/100\n", "2760/2760 [==============================] - 0s - loss: 1.4795e-04 \n", "Epoch 48/100\n", "2760/2760 [==============================] - 0s - loss: 1.4735e-04 \n", "Epoch 49/100\n", "2760/2760 [==============================] - 0s - loss: 1.5258e-04 \n", "Epoch 50/100\n", "2760/2760 [==============================] - 0s - loss: 1.5217e-04 \n", "Epoch 51/100\n", "2760/2760 [==============================] - 0s - loss: 1.4109e-04 \n", "Epoch 52/100\n", "2760/2760 [==============================] - 0s - loss: 1.4449e-04 \n", "Epoch 53/100\n", "2760/2760 [==============================] - 0s - loss: 1.4906e-04 \n", "Epoch 54/100\n", "2760/2760 [==============================] - 0s - loss: 1.4242e-04 \n", "Epoch 55/100\n", "2760/2760 [==============================] - 0s - loss: 1.4010e-04 \n", "Epoch 56/100\n", "2760/2760 [==============================] - 0s - loss: 1.4031e-04 \n", "Epoch 57/100\n", "2760/2760 [==============================] - 0s - loss: 1.4158e-04 \n", "Epoch 58/100\n", "2760/2760 [==============================] - 0s - loss: 1.3524e-04 \n", "Epoch 59/100\n", "2760/2760 [==============================] - 0s - loss: 1.3444e-04 \n", "Epoch 60/100\n", "2760/2760 [==============================] - 0s - loss: 1.3649e-04 \n", "Epoch 61/100\n", "2760/2760 [==============================] - 0s - loss: 1.3252e-04 \n", "Epoch 62/100\n", "2760/2760 [==============================] - 0s - loss: 1.3303e-04 \n", "Epoch 63/100\n", "2760/2760 [==============================] - 0s - loss: 1.3708e-04 \n", "Epoch 64/100\n", "2760/2760 [==============================] - 0s - loss: 1.2831e-04 \n", "Epoch 65/100\n", "2760/2760 [==============================] - 0s - loss: 1.2490e-04 \n", "Epoch 66/100\n", "2760/2760 [==============================] - 0s - loss: 1.2514e-04 \n", "Epoch 67/100\n", "2760/2760 [==============================] - 0s - loss: 1.2663e-04 \n", "Epoch 68/100\n", "2760/2760 [==============================] - 0s - loss: 1.2144e-04 \n", "Epoch 69/100\n", "2760/2760 [==============================] - 0s - loss: 1.2257e-04 \n", "Epoch 70/100\n", "2760/2760 [==============================] - 0s - loss: 1.1791e-04 \n", "Epoch 71/100\n", "2760/2760 [==============================] - 0s - loss: 1.1975e-04 \n", "Epoch 72/100\n", "2760/2760 [==============================] - 0s - loss: 1.2321e-04 \n", "Epoch 73/100\n", "2760/2760 [==============================] - 0s - loss: 1.2001e-04 \n", "Epoch 74/100\n", "2760/2760 [==============================] - 0s - loss: 1.1850e-04 \n", "Epoch 75/100\n", "2760/2760 [==============================] - 0s - loss: 1.1311e-04 \n", "Epoch 76/100\n", "2760/2760 [==============================] - 0s - loss: 1.1760e-04 \n", "Epoch 77/100\n", "2760/2760 [==============================] - 0s - loss: 1.1305e-04 \n", "Epoch 78/100\n", "2760/2760 [==============================] - 0s - loss: 1.1372e-04 \n", "Epoch 79/100\n", "2760/2760 [==============================] - 0s - loss: 1.0996e-04 \n", "Epoch 80/100\n", "2760/2760 [==============================] - 0s - loss: 1.1101e-04 \n", "Epoch 81/100\n", "2760/2760 [==============================] - 0s - loss: 1.1101e-04 \n", "Epoch 82/100\n", "2760/2760 [==============================] - 0s - loss: 1.0932e-04 \n", "Epoch 83/100\n", "2760/2760 [==============================] - 0s - loss: 1.0507e-04 \n", "Epoch 84/100\n", "2760/2760 [==============================] - 0s - loss: 1.0510e-04 \n", "Epoch 85/100\n", "2760/2760 [==============================] - 0s - loss: 1.0312e-04 \n", "Epoch 86/100\n", "2760/2760 [==============================] - 0s - loss: 1.0723e-04 \n", "Epoch 87/100\n", "2760/2760 [==============================] - 0s - loss: 1.0253e-04 \n", "Epoch 88/100\n", "2760/2760 [==============================] - 0s - loss: 9.9962e-05 \n", "Epoch 89/100\n", "2760/2760 [==============================] - 0s - loss: 1.0260e-04 \n", "Epoch 90/100\n", "2760/2760 [==============================] - 0s - loss: 9.9754e-05 \n", "Epoch 91/100\n", "2760/2760 [==============================] - 0s - loss: 9.7193e-05 \n", "Epoch 92/100\n", "2760/2760 [==============================] - 0s - loss: 1.0143e-04 \n", "Epoch 93/100\n", "2760/2760 [==============================] - 0s - loss: 9.8767e-05 \n", "Epoch 94/100\n", "2760/2760 [==============================] - 0s - loss: 9.7355e-05 \n", "Epoch 95/100\n", "2760/2760 [==============================] - 0s - loss: 9.3634e-05 \n", "Epoch 96/100\n", "2760/2760 [==============================] - 0s - loss: 9.3300e-05 \n", "Epoch 97/100\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "2760/2760 [==============================] - 0s - loss: 9.5346e-05 \n", "Epoch 98/100\n", "2760/2760 [==============================] - 0s - loss: 8.9899e-05 \n", "Epoch 99/100\n", "2760/2760 [==============================] - 0s - loss: 9.0696e-05 \n", "Epoch 100/100\n", "2760/2760 [==============================] - 0s - loss: 9.0016e-05 \n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 267, "metadata": {}, "output_type": "execute_result" } ], "source": [ "nn_lapse_mod.fit(lapse_train_data[[\"temp_norm\", \"pres_norm\"]].values, lapse_train_data[\"lapse\"].values, epochs=100, batch_size=8)" ] }, { "cell_type": "code", "execution_count": 268, "metadata": {}, "outputs": [], "source": [ "lapse_preds = nn_lapse_mod.predict(lapse_train_data[[\"temp_norm\", \"pres_norm\"]].values)" ] }, { "cell_type": "code", "execution_count": 269, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(array([ 8.89000000e+02, 1.10200000e+03, 3.97000000e+02,\n", " 1.82000000e+02, 7.80000000e+01, 4.90000000e+01,\n", " 3.20000000e+01, 2.00000000e+01, 1.00000000e+01,\n", " 1.00000000e+00, 0.00000000e+00]),\n", " array([ 0. , 0.05, 0.1 , 0.15, 0.2 , 0.25, 0.3 , 0.35, 0.4 ,\n", " 0.45, 0.5 , 0.55]),\n", " )" ] }, "execution_count": 269, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYAAAAD8CAYAAAB+UHOxAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ngCR1ygCQpE4ZAJLUqf8FkBOHjzICxC4AAAAASUVORK5CYII=\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.hist(lapse_train_data[\"lapse\"].values, bins=np.arange(0, 0.6, 0.05))\n", "plt.hist(lapse_preds, bins=np.arange(0, 0.6, 0.05), histtype=\"step\", lw=3)\n" ] }, { "cell_type": "code", "execution_count": 181, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\\[\\begin{pmatrix}1000 & 980 & 960 & 940 & 920 & 900 & 880 & 860 & 840 & 820 & 800 & 780 & 760 & 740 & 720 & 700 & 680 & 660 & 640 & 620 & 600 & 580 & 560 & 540 & 520 & 500 & 480 & 460 & 440 & 420 & 400 & 380 & 360 & 340 & 320 & 300 & 280 & 260 & 240 & 220 & 200 & 180 & 160 & 140 & 120 & 100\\end{pmatrix} hectopascal\\]" ], "text/latex": [ "$\\begin{pmatrix}1000 & 980 & 960 & 940 & 920 & 900 & 880 & 860 & 840 & 820 & 800 & 780 & 760 & 740 & 720 & 700 & 680 & 660 & 640 & 620 & 600 & 580 & 560 & 540 & 520 & 500 & 480 & 460 & 440 & 420 & 400 & 380 & 360 & 340 & 320 & 300 & 280 & 260 & 240 & 220 & 200 & 180 & 160 & 140 & 120 & 100\\end{pmatrix}\\ \\mathrm{hectopascal}$" ], "text/plain": [ "" ] }, "execution_count": 181, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pressures" ] }, { "cell_type": "code", "execution_count": 270, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(50, 46)\n" ] } ], "source": [ "nn_temps = np.zeros(test_data.shape)\n", "print(nn_temps.shape)\n", "for t, temp in enumerate(test_temps):\n", " nn_temps[t, 0] = temp.m\n", " norm_temp = (temp.m - norms.loc[\"temp\", \"mean\"]) / norms.loc[\"temp\", \"sd\"]\n", " curr_temp = temp.m\n", " pres = pressures.m[0]\n", " p = 1\n", " while pres > pressures.m.min():\n", " norm_pres = (pres - norms.loc[\"pres\", \"mean\"]) / norms.loc[\"pres\", \"sd\"]\n", " lapse = nn_lapse_mod.predict(np.array([[norm_temp, norm_pres]]))\n", " curr_temp -= lapse * 4\n", " if pres in pressures.m:\n", " nn_temps[t, p] = curr_temp\n", " p += 1\n", " pres -= 4\n", " norm_temp = (curr_temp - norms.loc[\"temp\", \"mean\"]) / norms.loc[\"temp\", \"sd\"]" ] }, { "cell_type": "code", "execution_count": 271, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 271, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAfYAAAJDCAYAAAD5BDbnAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n6OZWAAAAAElFTkSuQmCC\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(8, 10))\n", "sk = SkewT(fig=fig, rotation=30)\n", "sk.ax.set_xlim(-60, 120)\n", "sk.ax.set_ylim(1000, 100)\n", "for p in range(0, nn_moist_preds.shape[0], 3):\n", " if p == 0:\n", " label = \"True\"\n", " else:\n", " label = None\n", " sk.plot(pressures, (test_data[p]* ureg.K).to(\"degC\"), color=\"red\", label=label)\n", "for p in range(0, nn_moist_preds.shape[0], 3):\n", " if p == 0:\n", " label = \"Neural Net\"\n", " else:\n", " label = None\n", " sk.plot(pressures, (nn_temps[p] * ureg.K).to(\"degC\"), color=\"purple\", label=label)\n", "plt.legend()" ] }, { "cell_type": "code", "execution_count": 272, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 272, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXcAAAD8CAYAAACMwORRAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nSUVORK5CYII=\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.scatter(lapse_train_data[\"lapse\"], lapse_preds)\n", "plt.plot(np.arange(0, 0.6, 0.1), np.arange(0, 0.6, 0.1), 'k--')" ] }, { "cell_type": "code", "execution_count": 273, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 273, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAWwAAAD8CAYAAABTjp5OAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJztnW20JVV553//e/uFFw3NixADJJCxk5HlRMQOkjExCiYC\nyQJmRtaCmYmti0xPMpD4MpkMTmbpipkParLijFkMSU9g0jpGJKhDT4YESavJ5ANIq4ggId0SAx0I\nqLwoNC99733mQ+3bfW7Vvn32rVPnnjo3/1+vWqdq166996l7ep86z38/z6OIwBhjTP+ZmfQAjDHG\nlOEJ2xhjpgRP2MYYMyV4wjbGmCnBE7YxxkwJnrCNMWZKGDphS7pe0mOS7hkoO07SbZL2pNdjU7kk\nfVjSXkl3Szpr4Jqtqf4eSVvH83aMMaYfSDpf0v1pPrw6c/6tkr4p6a60/fywNkuesP8AOL9WdjWw\nKyI2A7vSMcAFwOa0bQOuTQM7Dngv8BrgbOC9i5O8McasNSTNAtdQzYlnAJdLOiNT9RMRcWbafn9Y\nu0Mn7Ij4C+DxWvHFwI60vwO4ZKD8I1FxO7BJ0kuBNwG3RcTjEfEEcBvNLwFjjFkrnA3sjYgHIuIF\n4Aaq+XEk1rW87qSIeAQgIh6RdGIqPxl4aKDevlS2XHkDSduons6Z1fpXH33ECUOGMkZPzbXqBFr0\nvlbzvrbsq7MhZhpq1XZX7ZR2t5of0P7/Z/jOwuPfioiXjNLGm95wdHz78fmiul+8+/l7gecGirZH\nxPa0n5vzXpNp5l9Ieh3w18A7I+KhTJ2DtJ2wl0OZsjhMebOwesPbAY456vvixzZfcfgex/mh7art\nhZVforZ9l1y3UFCnpJ22der9R8ENKmknV6/1GBeG16mXZcYTJe+tcT8K//YlY6yPp35NKVMQwuIz\n+z/6t6O28e3H5/nCrd9fVHf2pXuei4gty5wumfP+D/DxiHhe0i9QWSvOPVyfbVeJPJpMHaTXx1L5\nPuDUgXqnAA8fptwYY3pDAAuF/4YwdM6LiG9HxPPp8H8Arx7WaNsJeyewuNJjK3DzQPlb0mqRc4Cn\nkunkVuCnJR2bxMafTmXGGNMbguBAzBdtQ7gT2CzpdEkbgMuo5seDLD70Ji4C7hvW6FCTiKSPA68H\nTpC0j2q1x/uBGyVdATwIXJqq3wJcCOwF9gNvA4iIxyX9RnoTAO+LiLqQaYwxE6fg6XkoETEn6Sqq\nB9NZ4PqIuFfS+4DdEbET+GVJFwFzVAs73jqs3aETdkRcvsyp8zJ1A7hymXauB64f1p8xxkyKIJjv\nyF4fEbdQPcQOlr1nYP/dwLtX0mbXomP3KGe7P8z5PoojMysfUywMed8sI0zm7le93kymTl34Kmmn\npE6Oev8LGctciViXY9jnBcb3GcncV9XeW5EI2fa+Frx3zbSzgrYWK8dE2/dRwkKPV8T0f8I2xphV\nIoB5T9jGGDMd+AnbGGOmgAAO9NGsmvCEbYwxiSBsEhmFKBGRBlhZ7TFQKgQOuy6nqdQd2wrvTaNW\nbowNIbDgfbQVwrp6gikRT7uiIzFTav5hY6b2hy259wAlwltdLGz5PsYp8hWxwnmgNQHz/Z2v+z9h\nG2PMalF5OvYXT9jGGHMQMT/53+nL4gnbGGMSlejoCbsdYsXRTkocTlbSfa8occDJ/J6r27qz76uN\nc02OrhyZGrbe3BvryNhYYh9u6zhSog0Mu2a560rudRvb86SdZCZoL6/WYffuf/5B+j1hG2PMKrPg\nJ2xjjOk/fsI2xpgpIRDzraNOjx9P2MYYM4BNIqOw0gXzs5myluJUGwGz6IoS55q2dVo63LRzrsn0\n1caZJjvmMQqKdVoLo20cooZH9Ms2U3euydGVVrjaot9qOcUUEIgXIjeJ9IOR/jKS3i7pHkn3SnpH\nKjtO0m2S9qTXY1O5JH1Y0l5Jd0s6q4s3YIwxXVE5zswUbZOgda+SXgH8G6p07q8EflbSZuBqYFdE\nbAZ2pWOAC4DNadsGXDvCuI0xZizMJ+eZYdskGOVr4uXA7RGxPyLmgD8H/hlwMVX2X9LrJWn/YuAj\nUXE7sKmW08wYYyZKhJiPmaJtEozS6z3A6yQdL+koqlyOpwInpcS7pNcTU/2TgYcGrt+Xyowxpjcs\noKJtErQWHSPiPkkfAG4Dnga+QpVMcjly77Ch9kjaRmUy4YgNxxADAkg2JdY4GVdqrzZjGYX6++jK\nGzLHuES+TJS77BtpOEh2JCjmhLiOIuGVeENmo/zV043lPCTbsNqOjl2NuwMq0bG/azFGeq6PiOsi\n4qyIeB1V1t89wKOLpo70+liqvo/qCXyRU4CHM21uj4gtEbFl/bqjRxmeMcasiDUrOgJIOjG9fj/w\nz4GPAzuBranKVuDmtL8TeEtaLXIO8NSi6cQYY/rCfKhomwSjPvt/UtLxwAHgyoh4QtL7gRslXQE8\nCFya6t5CZefeC+wH3jZi38YY0ylr2tMxIn4iU/Zt4LxMeQBXjtKfMcaMm4UJrQApob/WdWiEV20b\nOnVVf7wUCJWthcm6YFWafqshoGXqlAhNXXkolohzXYmH2VClBdeVCKMlIVjbePEVzhclHpJtKPKq\nbElOPO0TVfCn/o6x3xO2McasIoE40GPXdE/YxhiTiGBiTjEleMI2xpiDTM4ppgRP2MYYkwj8hD0a\ng6JNy9CpkfvGLNBVWoVKLRLUhot+RSFQSykZY21MOWG04Wmabad23DYEa6Pd3N+wJJbsaoZObekN\n2eYzBCN6UQxQE3RXXRjskacjWHQ0xpipIJATGBhjzDQQwIEexxLp78iMMWbVmVys6xI8YRtjTCKw\np+NI5MS3QVp/F47TI7HR0MpFv5LxZMPNdhXeNPOZLeq/hDbef1321UYYbZt3sCQ/Ys5Dcth4oLtc\niH2bnyac47HPT9h9+1MZY8zEiBALMVO0DUPS+ZLuT3lsrz5MvTdLCklbhrXZ+ydsY4xZLSrRcXTX\ndEmzwDXAT1HlArhT0s6I+Fqt3ouBXwbuKGnXT9jGGHOQznI6ng3sjYgHIuIF4AaqvLZ1fgP4IPBc\nyej6/4Q9xJzUsHEXmjqLrFSraeduNJxLJTW879Z27ZL+61VKnHvaRvRrNFxgi4amM009jVaOkoh+\nJfe1bZ2u7NwljNMWvgaoRMfi+3GCpN0Dx9sjYnvaz+Wwfc3gxZJeBZwaEX8s6VdKOuz/hG2MMavI\nCjwdvxURy9mdD5vDVpU76YeAt65kbKOmCHunpHsl3SPp45KOkHS6pDsk7ZH0CUkbUt2N6XhvOn/a\nKH0bY0zXLHo6lmxDGJbD9sXAK4DPS/oGcA6wc5jw2HrClnQylbF8S0S8girSx2XAB4APRcRm4Ang\ninTJFcATEfEyqm+WD7Tt2xhjxkVHSXjvBDanB9gNVHPjzsWTEfFURJwQEadFxGnA7cBFEbE731zF\nqKLjOuBISeuAo4BHgHOBm9L5HcAlaf/idEw6f55k45kxpj9EwIGFmaLt8O3EHHAVcCtwH3BjRNwr\n6X2SLmo7vtY27Ij4O0m/RZVo91ngM8AXgSfTYKH6WXBy2j9ohI+IOUlPAccD3xpsV9I2YBvAERuP\nIWYPzekq0l3KBK1sBL8avRcmM323jrLXpr82acWgzHGlTqnjTF1AbBvRr9FOWfed0FaYLKEr8XKN\nUplEurnXEXELVfLxwbL3LFP39SVtjmISOZbqqfl04PuAo4ELcmNZvOQw5w4VRGyPiC0RsWX9+qPb\nDs8YY1oxn+KJDNsmwSirRN4I/E1EfBNA0qeAfwpskrQuPWUPGtoXjfD7kgnlGODxEfo3xphOWeGy\nvlVnlGf/B4FzJB2VbNHnAV8DPge8OdXZCtyc9nemY9L5z0a0DRBhjDHjoDvX9HEwig37Dkk3AV8C\n5oAvA9uB/wvcIOm/pLLr0iXXAR+VtJfqyfqyUQZujDHjYM3mdIyI9wLvrRU/QOWWWa/7HHDpijsZ\nEK2iQODLmcqzYmW9WuZhv8SLclzCZLbdllH/WkXZa5nqbKIR/aBMnGykwMp8QBrpv3LekAV/j64E\n3xKKojBOQTSKCQqj1SqR0WOJjAt7OhpjTMIpwowxZopYsyYRY4xZS/R9lYgnbGOMGcApwkZgyZdd\nLpxngc5SIlaqwBsxpzq28phsGzq1pJ0CIbJ12yW0eR9dhWCF5vsvabshQkI7b8iOUraVCpOrKWgO\n67tLJiiMRog5T9jGGDMd2CRijDFTgG3YxhgzRXjCNsaYKcDrsEdCQ4WUKAinqgJhsL0wWeDFWOu/\nrXdkK2/IbNuZy0raLqErMapteNMib9DacVYsbBEDtkSr6kqYLL2uhDZ/sy4Fzp6FFPI6bGOMmQIi\nYG5IcoJJ4gnbGGMGsEnEGGOmANuwjTFmighP2C0RxID4lA3VWRACNXv/a221FSbbeEjmvCOL8i62\n8VjMDqcjkaerEKy567oKAVskwpaETs0qtcPHUxKmdVjfy7VdQlf3sU27pXT1d+yIPouOo+R0/GFJ\ndw1s35H0DknHSbpN0p70emyqL0kflrRX0t2SzurubRhjzOhEVDbskm0StJ6wI+L+iDgzIs4EXg3s\nBz4NXA3siojNwK50DFWC3s1p2wZcO8rAjTGme8T8wkzRNgm66vU84OsR8bdUmdR3pPIdwCVp/2Lg\nI1FxO1Wy3pd21L8xxnRChIq2SdCVDfsy4ONp/6SIeAQgIh6RdGIqPxl4aOCafanskcGGJG2jegJn\n4xGblnylZCPj1c2IBY4sizUHaeuA087hZnjUv6LUWgUOMNDOUWesEf3qzeSiMNYL2kb0a2sfLYrE\n1whN2E3/JXbu5cbURf8lrLbduaFVjcem3fdYIiM/YUvaAFwE/NGwqpmyxl2PiO0RsSUitmxYf/So\nwzPGmHKi+i4o2SZBFyaRC4AvRcSj6fjRRVNHen0sle8DTh247hTg4Q76N8aYzlhARdsk6GLCvpxD\n5hCAncDWtL8VuHmg/C1ptcg5wFOLphNjjOkD0XPRcSQbtqSjgJ8C/u1A8fuBGyVdATwIXJrKbwEu\nBPZSrSh52yh9G2PMOOhZLKoljDRhR8R+4Pha2bepVo3U6wZw5YraJy9IDaK6WFYgTEJGnMw6PdQP\nM44zLRxuSqL+ZZ1rGpeMUdRp6/BSQr3t0kh8jXYK/tZtHUdKhMA2zjUl/Zf+XUuE0RLGJeiV3Nce\nYk9HY4yZAipB0RO2McZMBX1e1ucJ2xhjBuiz1cYTtjHGJAKx4AQGLRHEwL1TNhLf8Gh9dWGyqjY8\nBVXTazLj6djCQ7Is6l+BN2Sus3FGx1tF6n/XVY/oVyLEdeUNOazv5fofNp7lxjSu/tcIfX6n/f0q\nMcaY1Sa6iyUi6XxJ96cIpVdnzv+CpK+maKd/KemMYW16wjbGmEGicDsMkmaBa6g8wc8ALs9MyH8Y\nEf8kRTz9IPDbw4bmCdsYYwbo6An7bGBvRDwQES8AN1BFLB3oJ74zcHg0BdaYftuwjTFmFQlgoSiL\nFAAnSNo9cLw9Iran/Vx00tfUG5B0JfAuYANw7rAOez9hD6YIy37/NFJ9ZaoUeDFmhcmGWNcyRRn1\nMQ4P09qZNyR0l1qsq3aGtAt05/3YNgTpuES2rrwhoZ0QOWlvyK7udduUacOo3KtLa38rIrYsc640\nOuk1wDWS/iXwnzkUhymLTSLGGDNAR+FVVxqd9AYOJXtZFk/YxhgzSAeiI3AnsFnS6SlnwGVUEUsP\nImnzwOHPAHuGNdp7k4gxxqwe3aT/iog5SVcBtwKzwPURca+k9wG7I2IncJWkNwIHgCcYYg4BT9jG\nGLOUjuSLiLiFKqz0YNl7BvbfvtI2+z9hD2qOeUWxdpyrkwuLWr8s0/hso1KTopySw/NHduUN2Ws3\nra5ZVbGwoxCspt9EXkzvCyPZsCVtknSTpL+SdJ+kH5N0nKTbJO1Jr8emupL04eT1c7eks7p5C8YY\n0yUq3FafUUXH/wb8aUT8Y+CVwH3A1cCuiNgM7ErHUHn8bE7bNuDaEfs2xpju6UZ0HAutJ2xJ3wO8\nDrgOICJeiIgnqbx5dqRqOzi0VOVi4CNRcTuwaTFZrzHG9IYeT9ij2LB/EPgm8D8lvRL4IvB24KTF\n5LoR8YikE1P9nOfPycCSRLyStlE9gbPxyE3E7KGfHrlofXUbYZGdG5o3PGfnbqQIyziKFDmTrDzq\nXz712PBPSc5JqFHSWfqvMX5qG0HuMu+rK+eNf0CR6MwQVuY4s+qMYhJZB5wFXBsRrwKe4ZD5I0ep\n58/2iNgSEVvWbzh6hOEZY8zK6chxZiyMMmHvA/ZFxB3p+CaqCfzRRVNHen1soP5KPH+MMWb1WVDZ\nNgFaT9gR8ffAQ5J+OBWdB3yNyptncQH4VuDmtL8TeEtaLXIO8NSi6cQYY/qComybBKOuw/4l4GPJ\n9fIB4G1UXwI3SroCeBC4NNW9BbgQ2AvsT3WNMaY/TFBQLGGkCTsi7gJy0arOy9QN4MoV9zH4GyDr\nk1ITywqEyVxT2Qh6DSEwM7562q62Uf/qrWeMZFH7PVQS0S87xsxVrT6l2cBzbcTLDBYC/+HQKxFY\nvRYd++/paIwxq0mPnxU8YRtjzCBtY7GvAp6wjTFmkZ6vw/aEbYwxA0xqBUgJvZ6wQ1pxirASYRIy\nXoy5qGptIgHmPPJaeENGJvKbaj/VyiL6ZcaYY5yehZPEEfSmj9WMwpijxx8PZ5wxxpgpoddP2MYY\ns9rYJGKMMdNAMDG38xI8YRtjzCB+wm6JWBJeNbIhUGvfhrk1lDnBouHq2E6YrIt8OSGwLl7mPB1L\nvCHrbzXrnZkTIkvCxDZbapRkxaA69f7nh19ippDVFgZLPntddeUJ2xhjpgRP2MYYMyV4wjbGmP4z\nydCpJXjCNsaYQbxKpD1Lw6sOz80Yma/HhjAJTXGyQJgsCcGaHWNdrMx5MdY9HXOehg3Hy8x7zQU0\nbRQViLAloVMLRKaiHJPT6EE5rYzT83OcwuAqfkb6/IQ9kqejpG9I+qqkuyTtTmXHSbpN0p70emwq\nl6QPS9or6W5JZ3XxBowxplN6nDW9C9f0N0TEmRGxmMjgamBXRGwGdnEoMe8FwOa0bQOu7aBvY4zp\njsL0YJN6Ch9HLJGLgR1pfwdwyUD5R6LidmDTYrJeY4zpDWv4CTuAz0j6oqRtqeykxeS66fXEVH4y\n8NDAtftS2RIkbZO0W9LuA88/M+LwjDFmZWihbJsEo4qOr42IhyWdCNwm6a8OU7coAWFEbAe2A7zo\n+FNjYWCEuZ8hdS0iG140c3Pr4mSJMJkVNAtySjbfZLNOo92S3Iy595VrvCAXZNOLMkf9Znfk7VYk\nVvVYCZp26kJkH8PPrqKnY58Z6Qk7Ih5Or48BnwbOBh5dNHWk18dS9X3AqQOXnwI8PEr/xhjTOWvR\nJCLpaEkvXtwHfhq4B9gJbE3VtgI3p/2dwFvSapFzgKcWTSfGGNMLei46jmISOQn4dDIJrAP+MCL+\nVNKdwI2SrgAeBC5N9W8BLgT2AvuBt43QtzHGjIceWoQWaT1hR8QDwCsz5d8GzsuUB3DlivoQLKw7\nZLvK2WwbkeiyabMy19XtuCV27qwH1PAUZXVnlpjP2ZmH2+gazjW5qHs5MaTucFMQ0S/7oa3/HstF\n4qvbGnPRC9tE8Ctw5AE75XRCwWdxTdPjj0zvPR2NMWa1EJNbAVKCczoaY8wiHdqwJZ0v6f7k3X11\n5vy7JH0teX7vkvQDw9r0hG2MMYN0sEpE0ixwDZWH9xnA5ZLOqFX7MrAlIn4EuAn44LChecI2xphB\nulnWdzawNyIeiIgXgBuovL0PdRPxuYjYnw5vp1rqfFh6b8Ne4jhTIDpmnUIyX0uqOQcUCZM5LaZe\nlrV/FTicNITIlYuQua4AYma4w01DmCwI+ldSJyf61SP4Zd/ppMXCRmjEMY5HtQ9oFBpRu3ImaXif\n9VB0rN+jcXZV/qc+YTHoXWJ7cvyDvGf3aw7T1hXAnwzrsPcTtjHGrCrlE/a3BoLe1Sny7AaQ9K+B\nLcBPDuvQE7YxxiwSna0SKfLslvRG4NeAn4yI54c1ahu2McYM0o0N+05gs6TTJW0ALqPy9j6IpFcB\nvwdclMJ7DMVP2MYYM0AXbucRMSfpKuBWYBa4PiLulfQ+YHdE7AR+E3gR8EfJY/zBiLjocO32esIu\n83QsEQ8zbRcIcUXC5HytnZKIftloaA1Jr6BOGaoJmjmxkNnhQmBdC1PGi7GRRiwnYNWvK/GYzNKR\nENg26mCJMNkmEl6pwFYqTg7tr8XnqksRsG+elR19rCLiFqqQHINl7xnYf+NK2+z1hG2MMavKBCPx\nleAJ2xhjEmJykfhK8IRtjDEDeMI2xphpwRN2SwQL6wcOC7wRs2socyFPW3g6ZuvUBLSZuQL3vxKP\nyVydev9zmToF5AXF2k3KeYc2Qtk2K6mZV23oeNp6TJaEXM32Xr+uSAgsECZL6pQIbKUpusbl/deV\nCNjWY3LSnpY9nrBH/otLmpX0ZUl/nI5Pl3SHpD2SPpHWICJpYzrem86fNmrfxhjTKT3PONPFV/Tb\ngfsGjj8AfCgiNgNPUPnIk16fiIiXAR9K9Ywxpl904zgzFkaasCWdAvwM8PvpWMC5VKECAXYAl6T9\ni9Mx6fx5yi7SNcaYyaGFsm0SjPqE/V+BX+WQdfV44MmIWLSu7qOKWgUD0avS+adS/SVI2iZpt6Td\nc88+M+LwjDFmZfTZJNJadJT0s8BjEfFFSa9fLM5UjYJzhwqq8ITbAY466dQYLjoe/ni5soY41dLT\ncabm6ZhL+9hoJyNM1j0kcz8+Zuq3a12zTmS8BhtpFptVivwsG9fkclPWOisSFNt6TOaotVWU9zF3\nQ9o8QeWE0TY/IscZ4aerH7XjFBRLRM9x/Thfw44zrwUuknQhcATwPVRP3JskrUtP0YMRqhajV+2T\ntA44Bnh8hP6NMaZ7ejxht/4uj4h3R8QpEXEaVSSqz0bEvwI+B7w5VdsK3Jz2d6Zj0vnPpkzqxhjT\nCxY9HftqEhnHj6//CLxL0l4qG/V1qfw64PhU/i6gkZTSGGMmjRaiaJsEnTjORMTngc+n/Qeo8pnV\n6zwHXNpFf8YYMxbWsA177ESBp2NdHMr9VMmHRS2oUxe+MoJe1D0dc6JfQ0DLhGCt1ZnJeDE2Ukxm\nRL+sOFdrK3cb6z+1ivMbDSHbTv3eZzwm66OMzI9BLRQogyWCZva64U03bmTbMK11Jr3adZWFwXqO\nz3x/RU11gmOJGGPMtOAJ2xhjpgM/YRtjzLTgCbslMzC/8dBhe1t0pmy2oE7D1ppru+YokqkzU7M1\nK2P/a9jHc3buubotPNdXs6xBpk7THJtx3Jmr25Xb0XDSydn9G3bt5h8oa9eu24xzdu66c03Oil23\nc+ds0bW0anl7dYfR+YbRNspeC5t5a7tzyXW5Oqtl1+8ua/pY6PeEbYwxq4gzzhhjzDTRY38+T9jG\nGDOAn7CNMWYasONMe0KwsGGwoFmnSHTMOrMU1KmJJjOzmToFwmTUxKC6CAkZTSUjstQdbnLpyLLR\nAuvR+kr0m5wOV1OR8tH66mUFCk5OUKqJhSrJWUYma1c2j1g911lOUBxepchxpl6lRLwspEj4q1Pi\ngNJWGCyo05lYOUYR0qKjMcZMCZ6wjTFmGggsOhpjzLRg0dEYY6YFT9gtEcwfMXD3Mopa3bMvJx6W\niJXZKHu1sqxHXi0SXokwGfOZ91Frpx4FEGCmphaWeFVCxmuxRJgs8ZjM6T4N+99wsTAnXja8GHOP\nPbn3Wvs5G7nrGt6QuSEWCJP1t1bwUzrrVdkVY0zb1RAL24qXJUJkWw/JDui740zroIWSjpD0BUlf\nkXSvpF9P5adLukPSHkmfkLQhlW9Mx3vT+dO6eQvGGNMRUZa8YFIJDEaJMvs8cG5EvBI4Ezhf0jnA\nB4APRcRm4AngilT/CuCJiHgZ8KFUzxhj+kUUbhNglJyOERFPp8P1aQvgXOCmVL4DuCTtX5yOSefP\nU3EqbGOMWR3WbE5HSbOS7gIeA24Dvg48mTKmQ5Up/eS0fzLwEEA6/xRVzsd6m9sk7Za0e/6ZZ0YZ\nnjHGrIygip5Ysk2AkUTHiJgHzpS0Cfg08PJctfRalHUqIrYD2wE2fv+pMSg65ha016Nn5kTHnEdg\nQwgs8JDMpe2qh2ltK0zWBcSZjDAZ9XYywmSJh2S+Tr1geNNZ79C6CFwSpjXXV/3vkXXhLBAUC4TJ\nrMdk/QbkBMW+OViM0YuxlYdiaTsFXr4NgX2cP87Xoug4SEQ8SZWE9xxgk6TFL4JTgIfT/j7gVIB0\n/hjg8S76N8aYrujKJCLpfEn3p4UWV2fOv07SlyTNSXpzydhGWSXykvRkjaQjgTcC9wGfAxY73wrc\nnPZ3pmPS+c9G9NilyBjzD5IuVolImgWuAS4AzgAul3RGrdqDwFuBPywd2ygmkZcCO9LAZoAbI+KP\nJX0NuEHSfwG+DFyX6l8HfFTSXqon68tG6NsYY7qnuxUgZwN7I+IBAEk3UC28+NrBriK+kc4VG9da\nT9gRcTfwqkz5A2mw9fLngEvb9meMMeOmcpwpnrFPkLR74Hh70uBgYJFFYh/wmlHH129Px5lg4ahD\nKpYyQhy1snreQ4BY37ysIY6VCJMl4VVzomddmMyIl/UUhjnxslEn915zHpK1enkPyVrBgWadhuiY\na6ceu3WuOZ6F2oXZn5c1sTAydbLPJXVxMnM/mppjO2/IegjWFfxH74TWoUrr1NopajdXpd5Oocdi\nQ3QuECZbhZYtpVxM/lZEbFnmXNEii5XS7wnbGGNWmY6+eA8uskgMLsBoTSerRIwxZk1Q6uU4fE6/\nE9icQnVsoNLsdo46PE/YxhhzkG5iiSTnwKuAW6lWz90YEfdKep+kiwAk/aikfVTa3u9JunfY6GwS\nMcaYQTrSIiLiFuCWWtl7BvbvpDKVFNPvCXsmmD3ykEK3MJ/5QVATHRcywqTmctfV6mSvq4koOU/H\nWp2cN2RdrMx6Ota9GHPt1L0hc7+PskJkve2MEFcP3ZrxDKiLl9lQtgXCZN3zUxkvRtXEwhJhEjKC\nYu66hqD+G36EAAAMbUlEQVSY0YfqdTJ/s/rP4lV3KijKzVkQOrXIQ7FFX7nbmhtPXUzPJB0tEia7\nIJwizBhjpoce+/N5wjbGmEH6O197wjbGmEFUjyjXI3o9Yc/MBBuPPOTBMb/QNIjO1+zTufRbC1kb\ndu26nO23YcPO2bnr1zS7atjCcw44deeaXJ1GGrFmnbLrchH0YmidZkTBTP8N+3SzTt25JmdnLrFz\nMzvcmSa7prZepyRUZqadSaeS6squ3Gy3wM5c5NxSMJ5cvdkSG3am7S4I+heFcYBeT9jGGLOaiFh1\nj9WV4AnbGGMG8YRtjDFTgidsY4yZAmzDbs/sTLDp6GcPHr8w31TUDszNHvYYYD7jcDNfq7eQFR1n\nanWa7ehAC2HyQEb0KxAdS+pEJspeI8pfTqysC4E5QbHmzJITeOvi6ViFyYwQWY/qlxUra09Qyqlj\nJRlF2jyJ5SaDlgEiWkfVa7RTv6al6NdwviobT9Npa/h1RYJrS/q8SmSUjDOnSvqcpPsk3Svp7an8\nOEm3SdqTXo9N5ZL04ZQu525JZ3X1Jowxphui+kIv2SbAKMGf5oB/HxEvp8rleGVKgXM1sCsiNgO7\n0jFUqXI2p20bcO0IfRtjTPcEa3PCjohHIuJLaf+7VBGpTqZKg7MjVdsBXJL2LwY+EhW3UyXrfWnr\nkRtjzDhYKNwmQCfhVSWdRpUu7A7gpIh4BKpJHTgxVculzDm5i/6NMaYrFFG0TYKRRUdJLwI+Cbwj\nIr6j5YWQopQ5krZRmUw48qQXccKRzxw898JCU2V7dm5p/q8X5ppvKSdWPn9gab25jDA5d6AmTB5o\n1ol1NY/JXJ26p+O6jKhTEyLrYiZkPA1zEeRygmI9EmCBh2QuWmBDVMoIiqqn9morTNajKeYi+pUI\nkTkPxVqdrMdikffjypWvXF+tBbSS61oKgXXq1+U8YTvzdMwJk3XBfYyiY5+X9Y30hC1pPdVk/bGI\n+FQqfnTR1JFeH0vlRSlzImJ7RGyJiC0bNh05yvCMMWZlRMD8Qtk2AUZZJSLgOuC+iPjtgVM7ga1p\nfytw80D5W9JqkXOApxZNJ8YY0xt6LDqOYhJ5LfBzwFcl3ZXK/hPwfuBGSVcAD1Klv4Eq88KFwF5g\nP/C2Efo2xpjx0GOTSOsJOyL+kuWtX+dl6gdwZdv+jDFm7ARl+sWE6LWn4/qZeU4+6smDx8/MbWzU\neW5+qei4vyZCVnWab/O59UvrPZcTK9ctLXthfVPlawiT63KiY02YfCHjeVlTArNpxOrCS0E6MBhf\n6Nb6NQAz8x0Jk/UQqJl0YHkhcnidpqdjs0pd1SoKpTrOJ7OSVF9F4VYLrmsrDDZSjeXqdNP2+ETH\ngOivp2OvJ2xjjFlVgokJiiV4wjbGmEHWog3bGGPWJJ6wjTFmGpjckr0Sej1hb9A8px7xxMHj/fMb\nGnWenl8qRD4z3xQmn5lrXre/VpYTK5+tCZPPHmjWqQuTz69r3tL5mjA5P9P8QMS6pWU5r0rVct3l\n8kdmw7LWQ8C2Dd1aD4uaEybrol9bYbIgTGouLGtTdGzWqfvX5kXHlbczvkSDy1DioVgiBHYlOrYR\nJouvK/DY7IIAehxetdcTtjHGrDp+wjbGmGkgvErEGGOmgoDwOmxjjJkS7OnYjo0zBzh94zcPHn93\n/ohGne8uLC17OlMnV/adA0vLnskJmgeWCpj71zVFx/3rll73bKbOc7O1UK7rMh6TL9Q9Jpt1FmaX\nKjbZEKyzubKlx/nrlh6XeFpm69TDopYIk1nRcXiOybzoWBcrm3WKvBhbCJOrTps8h23FwqI6NWEw\nF1quJF9jS2GyM2zDNsaYKSDCq0SMMWZq8BO2McZMA0HMZ+xvPaHXE/YGzXHa+gEb9mzGFr2wNCvN\nd+ebWWqemj+qUfai2aX1snbuWn/fzUQLfHp2rnbctIVvqJU9e6B525+fWWr7nptr/iybrxmN6+nJ\nYIRIgAdqxxlbeCPqX+bTU3eUKbJzF9inS5xkqjINrdPOKSbTV/1JbJwPZkVpvIan7cpfN/yadg44\nBXWgkUYlV2fVbNgOr2qMMVNEj5f1jZrT8XpJj0m6Z6DsOEm3SdqTXo9N5ZL0YUl7Jd0t6axRB2+M\nMV0SQCxE0TYMSedLuj/NeVdnzm+U9Il0/g5Jpw1rc6QJG/gD4Pxa2dXArojYDOxKxwAXAJvTtg24\ndsS+jTGmWyIlMCjZDoOkWeAaqnnvDOBySWfUql0BPBERLwM+BHxg2PBGmrAj4i+Ax2vFFwM70v4O\n4JKB8o9Exe3ApsXs6sYY0xdifr5oG8LZwN6IeCAiXgBuoJoDBxmcK28CzkvJzZdlHDbskxazoUfE\nI5JOTOUnAw8N1NuXypZkTpe0jeoJHODp1572N/ePYYwAJwDfGlPb42IaxwzTOe5pHDNM57i7GvMP\njNrAd3ni1j+Lm04orH6EpN0Dx9sjYnvaz813r6ldf7BORMxJego4nsPci9UUHXPfHA1DUHrD2zN1\nux2MtDsitoy7ny6ZxjHDdI57GscM0znuPo05Iuom3raUzHdFc+Igo9qwczy6aOpIr4+l8n3AqQP1\nTgEeHkP/xhgzaUrmu4N1JK0DjqFpYl7COCbsncDWtL8VuHmg/C1ptcg5wFOLphNjjFlj3AlslnS6\npA3AZVRz4CCDc+Wbgc9GHN7NciSTiKSPA68HTpC0D3gv8H7gRklXAA8Cl6bqtwAXAnuB/cDbRum7\nA8ZudhkD0zhmmM5xT+OYYTrHPY1jPizJJn0VcCswC1wfEfdKeh+wOyJ2AtcBH5W0l+rJ+rJh7WrI\nhG6MMaYnjMMkYowxZgx4wjbGmClhTU7Ykk6V9DlJ90m6V9Lba+d/RVJIOiEd98Jt/nDjlvRLyc31\nXkkfHCh/dxr3/ZLe1JcxSzpT0u2S7pK0W9LZqbwv9/oISV+Q9JU07l9P5acnN+E9yW14QypfsRvx\nKo75Y+nvf08KF7E+lU/8Xi835oHzvyPp6YHjid/nXhMRa24DXgqclfZfDPw1cEY6PpVKCPhb4IRU\ndiHwJ1TrIs8B7ujTuIE3AH8GbEznTkyvZwBfATYCpwNfB2Z7MubPABcM3N/P9+xeC3hR2l8P3JHG\ncyNwWSr/XeAX0/6/A3437V8GfKJHY74wnRPw8YExT/xeLzfmdLwF+Cjw9ED9id/nPm9r8gk7Ih6J\niC+l/e8C91F5FUHls/+rLF2g3gu3+cOM+xeB90fE8+nc4tr2i4EbIuL5iPgbqhU4Z/dkzAF8T6p2\nDIfWoPblXkdELD7ZrU9bAOdSuQlDM7TCityIu2a5MUfELelcAF+gWvO7OOaJ3uvlxqwq1sZvUv1f\nHGTi97nPrMkJe5D0k+pVwB2SLgL+LiK+Uqu2nNv8xBgcN/BDwE+kn4h/LulHU7Vejbs25ncAvynp\nIeC3gHenar0Zs6RZSXdROXfdRvUL5cmIWIzqPTi2JW7EwKIb8apSH3NE3DFwbj3wc8CfpqJe3Otl\nxnwVsDOavhi9uM99ZU1P2JJeBHySavKYA34NeE+uaqZsYusdB8cdEd+hWi9/LNXP2v9Atc598Sdw\nnYmMOzPmXwTeGRGnAu+kWnMKPRpzRMxHxJlUT6RnAy/PVUuvvRh3fcySXjFw+r8DfxER/y8d93XM\nr6Pyz/idTPVejLmvrNkJOz1tfBL4WER8CvhHVHber0j6BtWH50uSvpceuc1nxg3V+D6Vfl5+AVig\nCpjTi3EvM+atwOL+H3HIVNOLMQ8SEU8Cn6f6Qtykyk0Ylo5txW7E42RgzOenMb0XeAnwroFqvbrX\nA2N+A/AyYG/6v3iUKucR6Nl97htrcsJOT5/XAfdFxG8DRMRXI+LEiDgtIk6j+mCcFRF/T0/c5nPj\nTvxvKtsqkn4I2EAV0WsncFlS1k+nijX+hZ6M+WHgJ9P+ucCetN+Xe/0SSZvS/pHAG6ns75+jchOG\nZmiFFbkRd80yY/4rST8PvAm4PGJJoOaJ3+tlxvzFiPjegf+L+6OKCb045one514zCaVz3Bvw41Q/\no+4G7krbhbU63+DQKhFRBRv/OvBVYEufxk01Qf8v4B7gS8C5A9f8Whr3/aRVGT0Z848DX6RaxXIH\n8Oqe3esfAb6cxn0P8J5U/oNUX3p7qX4ZLK7MOSId703nf7BHY55L93Px/i+WT/xeLzfmWp3BVSIT\nv8993uyabowxU8KaNIkYY8xaxBO2McZMCZ6wjTFmSvCEbYwxU4InbGOMmRI8YRtjzJTgCdsYY6aE\n/w+Zj88aCR/jZgAAAABJRU5ErkJggg==\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.pcolormesh(temps_dt, pres_dt, lapse_preds.reshape(temp_grid.shape), vmin=0, vmax=0.5)\n", "plt.colorbar()" ] }, { "cell_type": "code", "execution_count": 274, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 274, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAWwAAAD8CAYAAABTjp5OAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRU5ErkJggg==\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.pcolormesh(temps_dt, pres_dt, dt_grid, vmin=0, vmax=0.5)\n", "plt.colorbar()" ] }, { "cell_type": "code", "execution_count": 275, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 275, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYEAAAD8CAYAAACRkhiPAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.pcolormesh(temps_dt, pres_dt, lapse_preds.reshape(temp_grid.shape) - dt_grid, cmap=\"RdBu_r\", vmin=-0.1, vmax=0.1)\n", "plt.colorbar()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] } ], "metadata": { "anaconda-cloud": {}, "kernelspec": { "display_name": "Python [conda root]", "language": "python", "name": "conda-root-py" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.5.2" } }, "nbformat": 4, "nbformat_minor": 2 }