WRFDA Publications

Technical Notes

WRFDA Code Browser

User's Guide V3.8.1

User's Guide V3.8

User's Guide V3.7.1

User's Guide V3.7

User's Guide V3.6.1

User's Guide V3.6

User's Guide V3.5.1

User's Guide V3.5

User's Guide V3.4.1

User's Guide V3.4

User's Guide V3.3

Older versions

WRFDA Online Tutorial

How to compile WRFDA

WRFDA on Yellowstone

Reading BUFR files

 

 

 

Publications utilizing the WRFDA system

The WRFDA section of NCAR MMM has published over 30 papers and technical manuals since its inception in 2003. In addition, there have been more than 150 papers published on research done using the WRFDA system (at NCAR and other institutions). An incomplete list is provided below. If you used WRFDA in a peer-reviewed research paper and do not see it listed below, please or contact wrfhelp, and we will be sure to add it to the list.

WRFDA System Papers:

As a professional courtesy, we ask that any publications which make use of any part of the WRFDA system cite the appropriate reference(s) from the following list. In general, these are the original publications which describe each capability listed, but in some cases they represent an overview of the given topic:

WRFDA system as a whole

Dale Barker, Xiang-Yu Huang, Zhiquan Liu, Tom Auligné, Xin Zhang, Steven Rugg, Raji Ajjaji, Al Bourgeois, John Bray, Yongsheng Chen, Meral Demirtas, Yong-Run Guo, Tom Henderson, Wei Huang, Hui-Chuan Lin, John Michalakes, Syed Rizvi, and Xiaoyan Zhang, 2012: The Weather Research and Forecasting Model's Community Variational/Ensemble Data Assimilation System: WRFDA. Bull. Amer. Meteor. Soc., 93, 831–843.

Assimilation methods

3DVAR

D. M. Barker, W. Huang, Y-R. Guo, A. J. Bourgeois, and Q. N. Xiao, 2004: A Three-Dimensional (3DVAR) Data Assimilation System For Use With MM5: Implementation and Initial Results. Mon. Wea. Rev., 132, 897–914.

4DVAR

Xin Zhang, Xiang-Yu Huang, Jianyu Liu, Jonathan Poterjoy, Yonghui Weng, Fuqing Zhang, and Hongli Wang, 2014: Development of an Efficient Regional Four-Dimensional Variational Data Assimilation System for WRF. J. Atmos. Oceanic Technol., 31, 2777–2794.

Xiang-Yu Huang, Qingnong Xiao, Dale M. Barker, Xin Zhang, John Michalakes, Wei Huang, Tom Henderson, John Bray, Yongsheng Chen, Zaizhong Ma, Jimy Dudhia, Yongrun Guo, Xiaoyan Zhang, Duk-Jin Won, Hui-Chuan Lin, and Ying-Hwa Kuo, 2009: Four-Dimensional Variational Data Assimilation for WRF: Formulation and Preliminary Results. Mon. Wea. Rev., 137, 299–314.

Hybrid/ETKF

Xuguang Wang, Dale M. Barker, Chris Snyder, and Thomas M. Hamill, 2008: A hybrid ETKF–3DVAR data assimilation scheme for the WRF model. Part I: Observing system simulation experiment. Mon. Wea. Rev., 136, 5116–5131.

Xuguang Wang, Dale M. Barker, Chris Snyder, and Thomas M. Hamill, 2008: A Hybrid ETKF–3DVAR Data Assimilation Scheme for the WRF Model. Part II: Real Observation Experiments. Mon. Wea. Rev., 136, 5132–5147.

Observation types

Radar

WRFDA has two different options for reflectivity assimilation; see the radar section of the User's Guide for more information.

Old reflectivity operator (use_radar_rf = .true.):

Xiao, Qingnong, and Juanzhen Sun, 2007: Multiple-radar data assimilation and short-range quantitative precipitation forecasting of a squall line observed during IHOP_2002. Mon. Wea. Rev., 135, 3381–3404.

New reflectivity operator (use_radar_rhv = .true.):

Wang, H., J. Sun, S. Fan, and X.-Y. Huang, 2013: Indirect Assimilation of Radar Reflectivity with WRF 3D-Var and Its Impact on Prediction of Four Summertime Convective Events. J. Appl. Meteor. Climatol., 52, 889–902.

Radiance observations

AMSR2:

Yang, Chun, Zhiquan Liu, Jamie Bresch, Syed R. H. Rizvi, Xiang-Yu Huang, and Jinzhong Min, 2016: Assimilation of wind speed and direction observations: a new formulation and results from idealised experiments. Tellus A, 65, 19936, doi:10.3402/tellusa.v65i0.19936.

IASI:

Xu, D., Z. Liu, X.-Y. Huang, J. Min, and H. Wang, 2013: Impact of assimilating IASI radiance observations on forecasts of two tropical cyclones. Meteor. Atmos. Phys., 122, 1–18, doi:10.1007/s00703-013-0276-2.

Wind speed/direction observations

Huang, X.-Y., F. Gao, N. A. Jacobs, and H. Wang, 2013: Assimilation of wind speed and direction observations: a new formulation and results from idealised experiments. Tellus A, 65, 19936, doi:10.3402/tellusa.v65i0.19936.

Other WRFDA options

Dynamic constraint option (see relevant section of user's guide for description)

Li, Xin, Jie Ming, Ming Xue, Yuan Wang, and Kun Zhao, 2015: Implementation of a dynamic equation constraint based on the steady state momentum equations within the WRF hybrid ensemble–3DVar data assimilation system and test with radar T-TREC wind assimilation for tropical Cyclone Chanthu (2010). J. Geophys. Res. Atmos., 120, 4017–4039, doi:10.1002/2014JD022706.

Other tools

WRFPLUS (WRF Adjoint and Tangent Linear Models)

Xin Zhang, Xiang-Yu Huang, and Ning Pan, 2013: Development of the Upgraded Tangent Linear and Adjoint of the Weather Research and Forecasting (WRF) Model. J. Atmos. Oceanic Technol., 30, 1180–1188.

Qingnong Xiao, Ying-Hwa Kuo, Zaizhong Ma, Wei Huang, Xiang-Yu Huang, Xiaoyan Zhang, Dale M. Barker, John Michalakes, and Jimy Dudhia, 2008: Application of an adiabatic WRF adjoint to the investigation of the May 2004 McMurdo, Antarctica, severe wind event. Mon. Wea. Rev., 136, 3696–3713.

 

Other Peer-Reviewed Papers:

The following is a list of publications which make use of some portion of the WRFDA system:

2016:

Adam, Stephan, Andreas Behrendt, Thomas Schwitalla, Eva Hammann, and Volker Wulfmeyer, 2016: First assimilation of temperature lidar data into an NWP model: impact on the simulation of the temperature field, inversion strength and PBL depth. Q. J. Roy. Meteor. Soc., 142, 2882–2896, doi:10.1002/qj.2875.

Bieniek, Peter A., Uma S. Bhatt, John E. Walsh, T. Scott Rupp, Jing Zhang, Jeremy R. Krieger, and Rick Lader, 2016: Dynamical Downscaling of ERA-Interim Temperature and Precipitation for Alaska. J. Appl. Meteor. Climatol., 55, 635–654.

Cavallo, Steven M., Judith Berner, and Chris Snyder, 2016: Diagnosing Model Errors from Time-Averaged Tendencies in the Weather Research and Forecasting (WRF) Model. Mon. Wea. Rev., 144, 759–779.

Chandrasekar, R., and C. Balaji, 2016: Impact of physics parameterization and 3DVAR data assimilation on prediction of tropical cyclones in the Bay of Bengal region. Nat. Hazards, 80, 223–247, doi:10.1007/s11069-015-1966-5.

Chen, Yaodeng, Xue Xia, Jinzhong Min, Xiang-Yu Huang, and Syed R. H. Rizvi, 2016: Balance characteristics of multivariate background error covariance for rainy and dry seasons and their impact on precipitation forecasts of two rainfall events. Meteor. Atmos. Phys., 1–22, doi:10.1007/s00703-016-0434-4.

Chen, Yaodeng, Ruizhi Zhang, Deming Meng, Jinzhong Min, and Lina Zhang, 2016: Variational assimilation of satellite cloud water/ice path and microphysics scheme sensitivity to the assimilation of a rainfall case. Adv. Atmos. Sci., 33, 1158–1170, doi:10.1007/s00376-016-6004-3.

Deb, S.K., C.M. Kishtawal, Prashant Kumar, A.S. Kiran Kumar, P.K. Pal, Nitesh Kaushik, and Ghansham Sangar, 2016: Atmospheric Motion Vectors from INSAT-3D: Initial Quality Assessment and its impact on track forecast of cyclonic storm NANAUK. Atmos. Res., 169, 1–16, doi:10.1016/j.atmosres.2015.09.010.

Guerrette, Jonathan J. and Daven K. Henze, 2016: Four dimensional variational inversion of black carbon emissions during ARACTAS-CARB with WRFDA-Chem . Atmos. Chem. Phys., doi:10.5194/acp-2016-573.

Huang, Ching-Yuang, Shu-Ya Chen, S. K. A. V. Prasad Rao Anisetty, Shu-Chih Yang, and Ling-Feng Hsiao, 2016: An Impact Study of GPS Radio Occultation Observations on Frontal Rainfall Prediction with a Local Bending Angle Operator . Wea. Forecasting, 31, 129–150.

Islam, Tanvir, Prashant K. Srivastava, Dinesh Kumar, George P. Petropoulos, Qiang Dai, and Lu Zhuo, 2016: Satellite radiance assimilation using a 3DVAR assimilation system for hurricane Sandy forecasts. Nat. Hazards, doi:10.1007/s11069-016-2221-4.

Khan, Aman W., Prashant Kumar, and Atul K. Varma, 2016: Impact of Assimilation of MADRAS Geophysical Parameters on Short Range WRF Model Forecasts. IEEE T. Geosci. Remote, 54, 6970–6975, doi:10.1109/TGRS.2016.2593001.

Kumar, Prashant, and Atul K. Varma, 2016: Assimilation of INSAT-3D Hydro-Estimator Method Retrieved Rainfall for Short Range Weather Prediction. Q. J. Roy. Meteor. Soc., in press, doi:10.1002/qj.2929.

Kumar, Prashant, Sanjib K. Deb, C. M. Kishtawal, and P. K. Pal, 2016: Impact of assimilation of INSAT-3D retrieved atmospheric motion vectors on short-range forecast of summer monsoon 2014 over the South Asian region. Theor. Appl. Climatol., doi:10.1007/s00704-015-1722-5.

Kumar, Prashant, Kaushik Gopalan, Bipasha Paul Shukla, and Abhineet Shyam, 2016: Impact of single-point GPS integrated water vapor estimates on short-range WRF model forecasts over southern India. Theor. Appl. Climatol., doi:10.1007/s00704-016-1894-7.

Poterjoy, Jon, and Fuqing Zhang, 2016: Comparison of hybrid four-dimensional data assimilation methods with and without the tangent linear and adjoint models for predicting the life cycle of Hurricane Karl (2010). Mon. Wea. Rev., 144, 1449–1468..

Qiu XueXing, and Zhang FuQing, 2016: Prediction and predictability of a catastrophic local extreme precipitation event through cloud-resolving ensemble analysis and forecasting with Doppler radar observations. Sci. China Earth Sci., 59, 518–532, doi:10.1007/s11430-015-5224-1.

Routray, Ashish, U. C. Mohanty, Krishna K. Osuri, S. C. Kar, and Dev Niyogi, 2016: Impact of Satellite Radiance Data on Simulations of Bay of Bengal Tropical Cyclones Using the WRF-3DVAR Modeling System. IEEE T. Geosci. Remote, 54, 2285–2303, doi:10.1109/TGRS.2015.2498971.

Shen, Feifei, Jinzhong Min, and Dongmei Xu, 2016: Assimilation of radar radial velocity data with the WRF Hybrid ETKF—3DVAR system for the prediction of Hurricane Ike (2008). Atmos. Res., 169, 127–138, doi:10.1016/10.1016/j.atmosres.2015.09.019.

Singh, Randhir, Satya P. Ojha, C. M. Kishtawal, P. K. Pal, and A. S. Kiran Kumar, 2016: Impact of the assimilation of INSAT-3D radiances on short-range weather forecasts. Q. J. Roy. Meteor. Soc., 142, 120–131, doi:10.1002/qj.2636.

Sun, Juanzhen, Hongli Wang, Wenxue Tong, Ying Zhang, Chung-Yi Lin, and Dongmei Xu, 2016: Comparison of the Impacts of Momentum Control Variables on High-Resolution Variational Data Assimilation and Precipitation Forecasting. Mon. Wea. Rev., 144, 149–169.

Ulaziaa, Alain, Jon Saenzb, and Gabriel Ibarra-Berastegui, 2016: Sensitivity to the use of 3DVAR data assimilation in a mesoscale model for estimating offshore wind energy potential. A case study of the Iberian northern coastline. Appl. Energ., 180, 617–627, doi:10.1016/j.apenergy.2016.08.033.

Vendrasco, Eder Paulo, Juanzhen Sun, Dirceu Luis Herdies, Carlos Frederico de Angelis, 2016: Constraining a 3DVAR Radar Data Assimilation System with Large-Scale Analysis to Improve Short-Range Precipitation Forecasts. J. Appl. Meteor. Climatol., 55, 673–690.

Wang, Yuanbing, Jinzhong Min, Yaodeng Chen, Xiang-Yu Huang, Mingjian Zeng, and Xin Li, 2016: Improving precipitation forecast with hybrid 3DVar and time-lagged ensembles in a heavy rainfall event. Atmos. Res., 183, 1–16, doi:10.1016/j.atmosres.2016.07.026.

Xie, Yanhui, Jianyong Xing, Jiancheng Shi, Youjun Dou, and Yonghui Lei, 2016: Impacts of radiance data assimilation on the Beijing 7.21 heavy rainfall. Atmos. Res., 169, 318–330, doi:10.1016/j.atmosres.2015.10.016.

Xu, Dongmei, Jinzhong Min, Feifei Shen, Junmei Ban, and Peng Chen, 2016: Assimilation of MWHS radiance data from the FY-3B satellite with the WRF Hybrid-3DVAR system for the forecasting of binary typhoons. J. of Adv. Model. Earth Syst., 8, 1014–1028, doi:10.1002/2016MS000674.

Yang, Chun, Zhiquan Liu, Jamie Bresch, Syed R. H. Rizvi, Xiang-Yu Huang and Jinzhong Min, 2016: AMSR2 all-sky radiance assimilation and its impact on the analysis and forecast of Hurricane Sandy with a limited-area data assimilation system. Tellus A, 68, 30917, doi:10.3402/tellusa.v68.30917.

Zhu, Lei, Qilin Wan, Xinyong Shen, Zhiyong Meng, Fuqing Zhang, Yonghui Weng, Jason Sippel, Yudong Gao, Yunji Zhang, and Jian Yue, 2016: Prediction and Predictability of High-Impact Western Pacific Landfalling Tropical Cyclone Vicente (2012) through Convection-Permitting Ensemble Assimilation of Doppler Radar Velocity . Mon. Wea. Rev., 144, 21–43.

 


 

2015:

Ahasan, M. N., and S. K. Debsarma, 2015: Impact of data assimilation in simulation of thunderstorm (squall line) event over Bangladesh using WRF model, during SAARC–STORM Pilot Field Experiment 2011. Nat. Hazards, 75, 1009–1022, doi:10.1007/s11069-014-1369-z.

Barcons, Jordi, Arnau Folch, Abdelmalik Sairouní Afif, and Josep Ramon Miró, 2015: Assimilation of surface AWS using 3DVAR and LAPS and their effects on short-term high-resolution weather forecasts. Atmos. Res., 156, 160–173, doi:10.1016/j.atmosres.2014.12.019.

Bauer, Hans-Stefan, Thomas Schwitalla, Volker Wulfmeyer, Atoossa Bakhshaii, Uwe Ehret, Malte Neuper, and Olivier Caumont, 2015: Quantitative precipitation estimation based on high-resolution numerical weather prediction and data assimilation with WRF - a performance test. Tellus A, 67, 25047, doi:10.3402/tellusa.v67.25047.

Bromwich, David H., Aaron B. Wilson, Le-Sheng Bai, George W. K. Moore, and Peter Bauer, 2015: A comparison of the regional Arctic System Reanalysis and the global ERA-Interim Reanalysis for the Arctic. Q. J. Roy. Meteor. Soc., doi: 10.1002/qj.2527.

Chen, Yaodeng, Hongli Wang, Jinzhong Min, Xiang-Yu Huang, Patrick Minnis, Ruizhi Zhang, Julie Haggerty, and Rabindra Palikonda, 2015: Variational Assimilation of Cloud Liquid/Ice Water Path and Its Impact on NWP. J. Appl. Meteor. Climatol., 54, 1809–1825.

Choi, Yonghan, Jong-Chul Ha, and Gyu-Ho Lim, 2015: Investigation of the Effects of Considering Balloon Drift Information on Radiosonde Data Assimilation Using the Four-Dimensional Variational Method. Wea. Forecasting, 30, 809–826.

Choi, Yonghan, Gyu-Ho Lim, and Dong-Kyou Lee, 2015: Applicability of the Adjoint Sensitivity-Based Data Assimilation Method: Radar Data Assimilation for Heavy Rainfall Cases over the Korean Peninsula. Sci. Onl. Let. Atm., 11, 53–58, , doi:10.2151/sola.2015-012

Das, Mohan K., Md. Abdul Mannan Chowdhury, Someshwar Das, Sujit K. Debsarma, and Samarendra Karmakar, 2015: Assimilation of Doppler weather radar data and their impacts on the simulation of squall events during pre-monsoon season. Nat. Hazards, doi:10.1007/s11069-015-1634-9.

Eiserloh, Arthur J. Jr., and Sen Chiao, 2015: Modeling studies of landfalling atmospheric rivers and orographic precipitation over northern California. Meteor. Atmos. Phys., 127, 1–16, doi:10.1007/s00703-014-0350-4.

Gao, Feng, Xiang-Yu Huang, Neil A. Jacobs, and Hongli Wang, 2015: Assimilation of wind speed and direction observations: results from real observation experiments. Tellus A, 67, 27132, doi:10.3402/tellusa.v67.27132.

Goswami, Prashant, and V. Rakesh, 2015: An Assessment of Optimality of Observations in High-resolution Weather Forecasting. Pure Appl. Geophys., doi:10.1007/s00024-015-1155-1.

Guerrette, J. J. and D. K. Henze, 2015: Development and application of the WRFPLUS-Chem online chemistry adjoint and WRFDA-Chem assimilation system. Geosci. Model Dev., doi:10.5194/gmd-8-1857-2015.

Hsiao, Ling-Feng, Xiang-Yu Huang, Ying-Hwa Kuo, Der-Song Chen, Hongli Wang, Chin-Cheng Tsai, Tien-Chiang Yeh, Jing-Shan Hong, Chin-Tzu Fong, and Cheng-Shang Lee, 2015: Blending of Global and Regional Analyses with a Spatial Filter: Application to Typhoon Prediction over the Western North Pacific Ocean. Wea. Forecasting, 30, 754–770.

Igri, P. Moudi, Roméo S. Tanessong, D. A. Vondou, F. Kamga Mkankam, and Jagabandhu Panda, 2015: Added-Value of 3DVAR Data Assimilation in the Simulation of Heavy Rainfall Events Over West and Central Africa. Pure Appl. Geophys., 172, 2751–2776, doi:10.1007/s00024-015-1052-7.

Kaur, Inderpreet, Prashant Kumar, S. K. Deb, C. M. Kishtawal, P. K. Pal, and Raj Kumar, 2015: Impact of Kalpana-1 retrieved multispectral AMVs on Mahasen tropical cyclone forecast. Nat. Hazards, doi:10.1007/s11069-015-1591-3.

Kumar, Prashant, Bimal K. Bhattacharya, and P. K. Pal, 2015: Evaluation of Weather Research and Forecasting Model Predictions Using Micrometeorological Tower Observations. Bound.-Lay. Meteorol., 157, 293–308, doi:10.1007/s10546-015-0061-5.

Kumar, Prashant, C. M. Kishtawal, and P. K. Pal, 2015: The impact of background error parameters on heavy rainfall prediction. Int. J. Remote Sens., 36, 5935–5947, doi:10.1080/01431161.2015.1110261.

Lin, Liao-Fan, Ardeshir M. Ebtehaj, Rafael L. Bras, Alejandro N. Flores, and Jingfeng Wang, 2015: Dynamical Precipitation Downscaling for Hydrologic Applications Using WRF 4D-Var Data Assimilation: Implications for GPM Era. J. Hydrometeor, 16, 811–829.

Luo, Yali, and Yangruixue Chen, 2015: Investigation of the predictability and physical mechanisms of an extreme-rainfall-producing mesoscale convective system along the Meiyu front in East China: An ensemble approach. J. Geophys. Res. Atmos., 120, 10593–10618, doi:10.1002/2015JD023584.

Min, Qilong, Wei Gong, Bing Lin, and Yongxiang Hu, 2015: Application of surface pressure measurements from O2-band differential absorption radar system in three-dimensional data assimilation on hurricane: Part I – An observing system simulation experiments study. J. Quant. Spectrosc. Ra., 150, 148–165, doi10.1016/j.jqsrt.2014.08.027.

Munsell, Eric B., Jason A. Sippel, Scott A. Braun, Yonghui Weng, and Fuqing Zhang, 2015: Dynamics and Predictability of Hurricane Nadine (2012) Evaluated through Convection-Permitting Ensemble Analysis and Forecasts . Mon. Wea. Rev., 143, 4514–4532.

Nehrkorn, Thomas, Bryan K. Woods, Ross N. Hoffman, and Thomas Auligné, 2015: Correcting for Position Errors in Variational Data Assimilation. Mon. Wea. Rev., 143, 1368–1381.

Osuri, Krishna K., U. C. Mohanty, A. Routray, and Dev Niyogi, 2015: Improved Prediction of Bay of Bengal Tropical Cyclones through Assimilation of Doppler Weather Radar Observations . Mon. Wea. Rev., 143, 4533–4560.

Raju, Attada, Anant Parekh, Prashant Kumar, and C. Gnanaseelan, 2015: Evaluation of the impact of AIRS profiles on prediction of Indian summer monsoon using WRF variational data assimilation system. J. Geophys. Res. Atmos., 120, 8112–8131, doi:10.1002/2014JD023024.

Schwartz, Craig S., Zhiquan Liu, and Xiang-Yu Huang, 2015: Sensitivity of Limited-Area Hybrid Variational-Ensemble Analyses and Forecasts to Ensemble Perturbation Resolution. Mon. Wea. Rev., 143, 3454–3477.

Schwartz, Craig S., Glen S. Romine, Ryan A. Sobash, Kathryn R. Fossell, and Morris L. Weisman, 2015: NCAR’s Experimental Real-Time Convection-Allowing Ensemble Prediction System. Wea. Forecasting, 30, 1645–1654.

Schwartz, Craig S., Glen S. Romine, Morris L. Weisman, Ryan A. Sobash, Kathryn R. Fossell, Kevin W. Manning, and Stanley B. Trier, 2015: A Real-Time Convection-Allowing Ensemble Prediction System Initialized by Mesoscale Ensemble Kalman Filter Analyses. Wea. Forecasting, 30, 1158–1181.

Shen, Feifei, and Jinzhong Min, 2015: Assimilating AMSU-A Radiance Data with the WRF Hybrid En3DVAR System for Track Predictions of Typhoon Megi (2010). Adv. Atmos. Sci., 32, 1231–1243, doi:10.1007/s00376-014-4239-4.

Torn, Ryan D., and Glen S. Romine, 2015: Sensitivity of Central Oklahoma Convection Forecasts to Upstream Potential Vorticity Anomalies during Two Strongly Forced Cases during MPEX . Mon. Wea. Rev., 143, 4064–4087.

Wile, Sean M., Joshua P. Hacker, and Kenneth H. Chilcoat, 2015: The Potential Utility of High-Resolution Ensemble Sensitivity Analysis for Observation Placement during Weak Flow in Complex Terrain. Wea. Forecasting, 30, 1521–1536.

Xu, Dongmei, Thomas Auligné, and Xiang-Yu Huang, 2015: A validation of the multivariate and minimum residual method for cloud retrieval using radiance from multiple satellites. Adv. Atmos. Sci., 32, 349–362, doi:10.1007/s00376-014-3258-5.

Xu, Dongmei, Xiang-Yu Huang, Hongli Wang, Arthur P. Mizzi, and Jinzhong Min, 2015: Impact of assimilating radiances with the WRFDA ETKF/3DVAR hybrid system on prediction of two typhoons in 2012. J. Meteor. Res., 29, 28–40, doi:10.1007/s13351-014-4053-z.

Yang, Junhua, Keqin Duan, Jinkui Wu, Xiang Qin, Peihong Shi, Huancai Liu, Xiaolong Xie, Xiao Zhang, and Jianyong Sun, 2015: Effect of Data Assimilation Using WRF-3DVAR for Heavy Rain Prediction on the Northeastern Edge of the Tibetan Plateau. Adv. Meteorol., 2015, doi:10.1155/2015/294589.

Yesubabu, V., C.V. Srinivas, Sabique Langodan, and Ibrahim Hoteit, 2015: Predicting extreme rainfall events over Jeddah, Saudi Arabia: Impact of data assimilation with conventional and satellite observations. Q. J. Roy. Meteor. Soc., doi:10.1002/qj.2654.

Yunab, Ye, Qiming Zenga, Benjamin W. Green, and Fuqing Zhang, 2015: Mitigating atmospheric effects in InSAR measurements through high-resolution data assimilation and numerical simulations with a weather prediction model. Int. J. Remote Sens., 36, 2129–2147, doi:10.1080/01431161.2015.1034894.

Zhang, Feimin, Yi Yang, and Chenghai Wang, 2015: The Effects of Assimilating Conventional and ATOVS Data on Forecasted Near-Surface Wind with WRF-3DVAR . Mon. Wea. Rev., 143, 153–164.

Zhang, Xiaoyan, Hongli Wang, Xiang-Yu Huang, Feng Gao, and Neil A. Jacobs, 2015: Using Adjoint-Based Forecast Sensitivity Method to Evaluate TAMDAR Data Impacts on Regional Forecasts. Adv. Meteorol., 2015, doi:10.1155/2015/427616.

Zheng, Jing, Jun Li, Timothy J. Schmit, Jinlong Li, and Zhiquan Liu, 2015: The impact of AIRS atmospheric temperature and moisture profiles on hurricane forecasts: Ike (2008) and Irene (2011). Adv. Atmos. Sci., 32, 319–335, doi:10.1007/s00376-014-3162-z.

 


 

2014:

Baker, Wayman E., Robert Atlas, Carla Cardinali, Amy Clement, George D. Emmitt, Bruce M. Gentry, R. Michael Hardesty, Erland Källén, Michael J. Kavaya, Rolf Langland, Zaizhong Ma, Michiko Masutani, Will McCarty, R. Bradley Pierce, Zhaoxia Pu, Lars Peter Riishojgaard, James Ryan, Sara Tucker, Martin Weissmann, and James G. Yoe, 2014: Lidar-Measured Wind Profiles: The Missing Link in the Global Observing System. Bull. Amer. Meteor. Soc., 95, 543–564.

Chen, Shu-Ya, Tae-Kwon Wee, Ying-Hwa Kuo, and David H. Bromwich, 2014: An Impact Assessment of GPS Radio Occultation Data on Prediction of a Rapidly Developing Cyclone over the Southern Ocean. Mon. Wea. Rev., 142, 4187–4206.

Choi, Yonghan, Gyu-Ho Lim, Dong-Kyou Lee, and Xiang-Yu Huang, 2014: An adjoint sensitivity-based data assimilation method and its comparison with existing variational methods. Tellus A, 66, 21584, doi:10.3402/tellusa.v66.21584.

Gao, Feng, Peter P. Childs, Xiang-Yu Huang, Neil A. Jacobs, and Jinzhong Min, 2014: A relocation-based initialization scheme to improve track-forecasting of tropical cyclones. Adv. Atmos. Sci., 31, 27–36, doi:10.1007/s00376-013-2254-5.

Garcies, L., and V. Homar, 2014: Are current sensitivity products sufficiently informative in targeting campaigns? A DTS-MEDEX-2009 case study. Q. J. Roy. Meteor. Soc., 140, 525–538, doi:10.1002/qj.2148.

Huang, Ling, and Zhiyong Meng, 2014: Quality of the Target Area for Metrics with Different Nonlinearities in a Mesoscale Convective System. Mon. Wea. Rev., 142, 2379–2397.

Kar, S. C., P. Mali, and A. Routray, 2014: Impact of Land Surface Processes on the South Asian Monsoon Simulations Using WRF Modeling System. Pure Appl. Geophys., doi:10.1007/s00024-014-0834-7.

Kaur, Inderpreet, Prashant Kumar, S. K. Deb, C. M. Kishtawal, P. K. Pal, and Raj Kumar, 2014: Impact of Kalpana-1 retrieved atmospheric motion vectors on mesoscale model forecast during summer monsoon 2011. Theor. Appl. Climatol., doi:10.1007/s00704-014-1197-9.

Kumar, Prashant, C. M. Kishtawal, and P. K. Pal, 2014: Impact of satellite rainfall assimilation on Weather Research and Forecasting model predictions over the Indian region. J. Geophys. Res. Atmos., 119, 2017–2031, doi:10.1002/2013JD020005.

Kumar, Prashant, C. M. Kishtawala and P. K. Pal, 2014: Sensitivity analysis of high-resolution Oceansat-2 scatterometer winds on Thane cyclone simulation. Int. J. Remote Sens., 35, 7927–7940, doi:10.1080/01431161.2014.978040.

Li, Zhan, Zhaoxia Pu, Juanzhen Sun, and Wen-Chau Lee, 2014: Impacts of 4DVAR Assimilation of Airborne Doppler Radar Observations on Numerical Simulations of the Genesis of Typhoon Nuri (2008). J. Appl. Meteor. Climatol., 53, 2325–2343.

Liu, Bin, Katelyn B. Costa, Lian Xie, and Fredrick H. M. Semazzi, 2014: Dynamical Downscaling of Climate Change Impacts on Wind Energy Resources in the Contiguous United States by Using a Limited-Area Model with Scale-Selective Data Assimilation. Adv. Meteorol., 2014, doi:10.1155/2014/897246.

Liu, Fuhong, Jeremy R. Krieger, and Jing Zhang, 2014: Toward Producing the Chukchi–Beaufort High-Resolution Atmospheric Reanalysis (CBHAR) via the WRFDA Data Assimilation System. Mon. Wea. Rev., 142, 788–805.

McMurdie, Lynn A., and Brian Ancell, 2014: Predictability Characteristics of Landfalling Cyclones along the North American West Coast. Mon. Wea. Rev., 142, 301–319.

Melhauser, Christopher, and Fuqing Zhang, 2014: Diurnal Radiation Cycle Impact on the Pregenesis Environment of Hurricane Karl (2010). J. Atmos. Sci., 71, 1241–1259.

Nehrkorn, Thomas, Bryan Woods, Thomas Auligné, and Ross N. Hoffman, 2014: Application of Feature Calibration and Alignment to High-Resolution Analysis: Examples Using Observations Sensitive to Cloud and Water Vapor. Mon. Wea. Rev., 142, 686–702.

Poterjoy, Jonathan, and Fuqing Zhang, 2014: Intercomparison and Coupling of Ensemble and Four-Dimensional Variational Data Assimilation Methods for the Analysis and Forecasting of Hurricane Karl (2010). Mon. Wea. Rev., 142, 3347–3364.

Routray, A., S. C. Kar, P. Mali, and K. Sowjanya, 2014: Simulation of Monsoon Depressions Using WRF-VAR: Impact of Different Background Error Statistics and Lateral Boundary Conditions. Mon. Wea. Rev., 142, 3586–3613.

Sahu, Dipak K., S. K. Dash, and S. C. Bhan, 2014: Impact of surface observations on simulation of rainfall over NCR Delhi using regional background error statistics in WRF-3DVAR model. Meteor. Atmos. Phys., 125, 17–42, doi:10.1007/s00703-014-0320-x.

Singh, Randhir, Satya P. Ojha, C. M. Kishtawal, and P. K. Pal, 2014: Impact of various observing systems on weather analysis and forecast over the Indian region. J. Geophys. Res. Atmos., 119, 10232–10246, doi:10.1002/2014JD021890.

Wang, Hongli, Xiang-Yu Huang, Juanzhen Sun, Dongmei Xu, Man Zhang, Shuiyong Fan, and Jiqin Zhong, 2014: Inhomogeneous Background Error Modeling for WRF-Var Using the NMC Method. J. Appl. Meteor. Climatol., 53, 2287–2309.

Wang, Yongming, Shanhong Gao, Gang Fu, Jilin Sun, and Suping Zhang, 2014: Assimilating MTSAT-Derived Humidity in Nowcasting Sea Fog over the Yellow Sea. Wea. Forecasting, 29, 205–225.

Wen, XiaoHang, XiaoHan Liao, WenPing Yuan, XiaoDong Yan, ZhiGang Wei, HuiZhi Liu, JinMing Feng, ShiHua Lu, and WenJie Dong, 2014: Numerical simulation and data assimilation of the water-energy cycle over semiarid northeastern China. Sci. China Earth Sci., 57, 2340–2356, doi:10.1007/s11430-014-4914-4.

Yang, Eun-Gyeong, Hyun Mee Kim, JinWoong Kim, and Jun Kyung Kay, 2014: Effect of Observation Network Design on Meteorological Forecasts of Asian Dust Events. Mon. Wea. Rev., 142, 4679–4695.

Yu, Yi, Weimin Zhang, Zhongyuan Wu, Xiaofeng Yang, Xiaoqun Cao, and Mengbin Zhu, 2014: Assimilation of HY-2A scatterometer sea surface wind data in a 3DVAR data assimilation system—A case study of Typhoon Bolaven. Front. Earth Sci., doi:10.1007/s11707-014-0461-8.

Zhang, Xin, Ying-Hwa Kuo, Shu-Ya Chen, Xiang-Yu Huang, and Ling-Feng Hsiao, 2014: Parallelization Strategies for the GPS Radio Occultation Data Assimilation with a Nonlocal Operator in the Weather Research and Forecasting Model. J. Atmos. Oceanic Technol., 31, 2008–2014.

 


 

2013:

Ancell, B. C., 2013: Nonlinear Characteristics of Ensemble Perturbation Evolution and Their Application to Forecasting High-Impact Events. Wea. Forecasting, 28, 1353–1365.

Caron, J.-F., 2013: Mismatching Perturbations at the Lateral Boundaries in Limited-Area Ensemble Forecasting: A Case Study. Mon. Wea. Rev., 141, 356–374.

Chen, Yaodeng, Syed R. H. Rizvi, Xiang-Yu Huang, Jinzhong Min, and Xin Zhang , 2013: Balance characteristics of multivariate background error covariances and their impact on analyses and forecasts in tropical and Arctic regions. Meteor. Atmos. Phys., 121, 79–98, doi:10.1007/s00703-013-0251-y.

Choi, Y., G.-H. Lim, and D.-K. Lee, 2013: Radar radial wind data assimilation using the time-incremental 4D-Var method implemented to the WRFDA system. Tellus A, 65, 19677, doi:10.3402/tellusa.v65i0.19677.

Choi, Y., G-.H. Lim, D.-K. Lee, and X.-Y. Huang, 2013: Assimilation of wind speed and direction observations: a new formulation and results from idealised experiments. Tellus A, 65, 19936, doi:10.3402/tellusa.v65i0.19936.

Chu, Kekuan, Qingnong Xiao, and Chengsi Liu, 2013: Experiments of the WRF three-/four-dimensional variational (3/4DVAR) data assimilation in the forecasting of Antarctic cyclones. Meteor. Atmos. Phys., 120, 145–156, doi:10.1007/s00703-013-0243-y.

Dash, S. K., D. K. Sahu, and S. C. Sahu, 2013: Impact of AWS observations in WRF-3DVAR data assimilation system: a case study on abnormal warming condition in Odisha. Nat. Hazards, 65, 767–798, doi:10.1007/s11069-012-0393-0.

Durran, D. R., P. A. Reinecke, and J. D. Doyle, 2013: Large-Scale Errors and Mesoscale Predictability in Pacific Northwest Snowstorms. J. Atmos. Sci., 70, 1470–1487.

Fan, Xingang, Jeremy R. Krieger, Jing Zhang, and Xiangdong Zhang, 2013: Assimilating QuikSCAT Ocean Surface Winds with the Weather Research and Forecasting Model for Surface Wind-Field Simulation over the Chukchi/Beaufort Seas. Bound.-Lay. Meteorol., doi:10.1007/s10546-013-9805-2.

Gao, F., P. P. Childs, X.-Y. Huang, N. A. Jacobs, and J. Z. Min, 2013: An initialization scheme by relocation on tropical cyclone track. Adv. Atmos. Sci., doi:10.1007/s00376-013-2254-5.

Huang, X.-Y., F. Gao, N. A. Jacobs, and H. Wang, 2013: Assimilation of wind speed and direction observations: a new formulation and results from idealised experiments. Tellus A, 65, 19936, doi:10.3402/tellusa.v65i0.19936.

Jewtoukoff, Valérian, Riwal Plougonven, and Albert Hertzog, 2013: Gravity waves generated by deep tropical convection: Estimates from balloon observations and mesoscale simulations. J. Geophys. Res. Atmos., 118, 9690–9707, doi:10.1002/jgrd.50781.

Jung, B.-J., H. M. Kim, T. Auligné, Xin Zhang, Xiaoyan Zhang, and X.-Y. Huang, 2013: Adjoint-Derived Observation Impact Using WRF in the Western North Pacific. Mon. Wea. Rev., 141, 4080–4097.

Li, X., J. Ming, Y. Wang, K. Zhao, and M. Xue, 2013: Assimilation of T-TREC-retrieved wind data with WRF 3DVAR for the short-term forecasting of typhoon Meranti (2010) near landfall. J. Geophys. Res. Atmos., 118, 10361–10375, doi:10.1002/jgrd.50815.

Liu, C, and Q. Xiao, 2013: An Ensemble-Based Four-Dimensional Variational Data Assimilation Scheme. Part III: Antarctic Applications with Advanced Research WRF Using Real Data. Mon. Wea. Rev., 141, 2721–2739.

Liu, J., M. Bray, and D. Han, 2013: Exploring the effect of data assimilation by WRF-3DVar for numerical rainfall prediction with different types of storm events. Hydrol. Process., 27, 3627–3640, doi:10.1002/hyp.9488.

Pu, Z., H. Zhang, and J. Anderson, 2013: Ensemble Kalman filter assimilation of near-surface observations over complex terrain: comparison with 3DVAR for short-range forecasts. Tellus A, 65, 19620, doi:10.3402/tellusa.v65i0.19620.

Routray, A., U. C. Mohanty, K. K. Osuri, and S. K. Prasad, 2013: Improvement of Monsoon Depressions Forecast with Assimilation of Indian DWR Data Using WRF-3DVAR Analysis System. Pure Appl. Geophys., doi:10.1007/s00024-013-0648-z.

Schwartz, C. S., Z. Liu, X.-Y. Huang, Y.-H. Kuo, and C.-T. Fong, 2013: Comparing limited-area 3DVAR and hybrid variational-ensemble data assimilation methods for typhoon track forecasts: Sensitivity to outer loops and vortex relocation. Mon. Wea. Rev., 141, 4350–4372.

Segele, Z. T., L. M. Leslie, and P. J. Lamb, 2013: Weather Research and Forecasting Model simulations of extended warm-season heavy precipitation episode over the US Southern Great Plains: data assimilation and microphysics sensitivity experiments. Tellus A, 65, 19599, doi:10.3402/tellusa.v65i0.19599.

Singh, R., S. P. Ojha, C. M. Kishtawal, and P. K. Pal, 2013: Quality assessment and assimilation of Megha-Tropiques SAPHIR radiances into WRF assimilation system. J. Geophys. Res. Atmos., 118, 6957–6969, doi:10.1002/jgrd.50502.

Sun, Juanzhen, and Hongli Wang, 2013: Radar Data Assimilation with WRF 4D-Var. Part II: Comparison with 3D-Var for a Squall Line over the U.S. Great Plains. Mon. Wea. Rev., 141, 2245–2264.

Tilev-Tanriover, Seyda, and Abdullah Kahraman, 2013: Impact of Turkish ground-based GPS-PW data assimilation on regional forecast: 8–9 March 2011 heavy snow case. Atmos. Sci. Lett., doi:10.1002/asl2.482

Wang, Hongli, Xiang-Yu Huang, and Yongsheng Chen, 2013: An Observing System Simulation Experiment for the Impact of MTG Candidate Infrared Sounding Mission on Regional Forecasts: System Development and Preliminary Results. ISRN Meteorology, doi:10.1155/2013/971501.

Wang, H., J. Sun, X. Zhang, X.-Y. Huang, and T. Auligné, 2013: Radar data assimilation with WRF 4D-Var: Part I. System development and preliminary testing. Mon. Wea. Rev., 141, 2224–2244.

Zhang, F., M. Zhang, and J. Poterjoy, 2013: E3DVar: Coupling an Ensemble Kalman Filter with Three-Dimensional Variational Data Assimilation in a Limited-Area Weather Prediction Model and Comparison to E4DVar. Mon. Wea. Rev., 141, 900–917.

 


 

2012:

Abhilash, S., A. K. Sahai, K. Mohankumar, John P. George, and Someshwar Das, 2012: Assimilation of Doppler Weather Radar Radial Velocity and Reflectivity Observations in WRF-3DVAR System for Short-Range Forecasting of Convective Storms. Adv. Atmos. Sci., 169, 2047–2070, doi:10.1007/s00024-012-0462-z.

Gao, F., X. Zhang, N. A. Jacobs, X.-Y. Huang, X. Zhang, and P. P. Childs, 2012: Estimation of TAMDAR observational error and assimilation experiments. Wea. Forecasting, 27, 856–877.

Ha, Ji-Hyun, and Dong-Kyou Lee, 2012: Effect of length scale tuning of background Error in WRF-3DVAR system on assimilation of high-resolution surface data for heavy rainfall simulation. Adv. Atmos. Sci., 29, 1142–1158, doi:10.1007/s00376-012-1183-z.

Kumar, P., K. P. Harish Kumar, and P. K. Pal, 2012: Impact of Oceansat-2 Scatterometer Winds and TMI Observations on Phet Cyclone Simulation. IEEE Geosci. Remote S., 3774–3779, doi:10.1109/TGRS.2012.2221720.

Li, Xuanli, and John R. Mecikalski, 2012: Impact of the Dual-Polarization Doppler Radar Data on Two Convective Storms with a Warm-Rain Radar Forward Operator. Mon. Wea. Rev., 140, 2147–2167.

Li, Yongzuo, Xuguang Wang, and Ming Xue, 2012: Assimilation of Radar Radial Velocity Data with the WRF Hybrid Ensemble–3DVAR System for the Prediction of Hurricane Ike (2008). Mon. Wea. Rev., 140, 3507–3524.

Liu, Z., C. S. Schwartz, C. Snyder, and S. Ha, 2012: Impact of Assimilating AMSU-A Radiances on Forecasts of 2008 Atlantic Tropical Cyclones Initialized with a Limited-Area Ensemble Kalman Filter. Mon. Wea. Rev., 140, 4017–4034.

Pan, Xiaoduo, Xiangjun Tian, Xin Li, Zhenghui Xie, Aimei Shao, and Chunyan Lu, 2012: Assimilating Doppler radar radial velocity and reflectivity observations in the weather research and forecasting model by a proper orthogonal-decomposition-based ensemble, three-dimensional variational assimilation method. J. Geophys. Res., 117, doi:10.1029/2012JD017684.

Panda, Jagabandhu, and R. K. Giri, 2012: A comprehensive study of surface and upper-air characteristics over two stations on the west coast of India during the occurrence of a cyclonic storm. Nat. Hazards, 64, 1055–1078, doi:10.1007/s11069-012-0282-6.

Powers, J. G., K. W. Manning, D. H. Bromwich. J. J. Cassano, and A. M. Cayette, 2012: A Decade of Antarctic Science Support Through Amps. Bull. Amer. Meteor. Soc., 93, 1699–1712.

Schwartz, C. S., Z. Liu, Y. Chen, and X.-Y. Huang, 2012: Impact of assimilating microwave radiances with a limited-area ensemble data assimilation system on forecasts of Typhoon Morakot. Wea. Forecasting, 27, 424–437.

Singh, R., C. M. Kishatawai, S. P. Ojha, and P. K. Pal, 2012: Impact of assimilation of Atmospheric InfraRed Sounder (AIRS) radiances and retrievals in the WRF 3D-Var assimilation system. J. Geophys. Res., 117, doi:10.1029/2011JD017367.

Singh, R., P. Kumar, and P. K. Pal, 2012: Assimilation of Oceansat-2-Scatterometer-Derived Surface Winds in the Weather Research and Forecasting Model. IEEE Geosci. Remote S., 1015–1021, doi:10.1109/TGRS.2011.2164410.

Sun, Juanzhen, Stanley B. Trier, Qingnong Xiao, Morris L. Weisman, Hongli Wang, Zhuming Ying, Mei Xu, and Ying Zhang, 2012: Sensitivity of 0–12-h Warm-Season Precipitation Forecasts over the Central United States to Model Initialization. Wea. Forecasting, 27, 832–855.

Wang, H., and X.-Y. Huang, 2012: TAMDAR Observation Assimilation in WRF 3D-Var and Its Impact on Hurricane Ike (2008) Forecast. Atmos. Oceanic Sci. Lett., 5, 206–211.

Zavodksy, B. T., S.-H. Chou, and G. J. Jedlovec, 2012: Improved Regional Analyses and Heavy Precipitation Forecasts With Assimilation of Atmospheric Infrared Sounder Retrieved Thermodynamic Profiles. IEEE Geosci. Remote S., 4243–4251, doi:10.1109/TGRS.2012.2194158.

Zhang, L., Z. Pu, W.-C. Lee, and Q. Zhao, 2012: The influence of airborne Doppler radar data quality on numerical simulations of a tropical cyclone. Wea. Forecasting, 27, 231–239.

Zhang, Meng, and Fuqing Zhang, 2012: E4DVar: Coupling an Ensemble Kalman Filter with Four-Dimensional Variational Data Assimilation in a Limited-Area Weather Prediction Model. Mon. Wea. Rev., 140, 587–600.

 


 

2011:

Chou, C.-B., and H.-P. Huang, 2011: The Impact of Assimilating Atmospheric Infrared Sounder Observation on the Forecast of Typhoon Tracks. Adv. Meteorol., 2011, doi:10.1155/2011/803593.

Chu, Kekuan, Qingnong Xiao, Zhe-min Tan, and Jianfeng Gu, 2011: A forecast sensitivity study on the intensity change of Typhoon Sinlaku (2008). J. Geophys. Res. Atmos., 116, doi:10.1029/2011JD016127.

Govindankutty, M., and A. Chandrasekar, 2011: Impact of assimilation of ATOVS temperature and humidity and SSM/I total precipitable water on the simulation of a monsoon depression. Nat. Hazards, 59, doi:10.1007/s11069-011-9857-x.

Ha, Ji-Hyun, Hyung-Woo Kim, and Dong-Kyou Lee, 2011: Observation and numerical simulations with radar and surface data assimilation for heavy rainfall over central Korea. Adv. Atmos. Sci., 28, 573–590, doi:10.1007/s00376-010-0035-y.

He, Wenying, Zhiquan Liu, and Hongbin Chen, 2011 Influence of surface temperature and emissivity on AMSU-A assimilation over land. Acta Meteorol. Sin., 25, 545–557, doi:10.1007/s13351-011-0501-1.

Kumar, Prashant, Randhir Singh, P. C. Joshi, and P. K. Pal, 2011 Impact of additional surface observation network on short range weather forecast during summer monsoon 2008 over Indian subcontinent. J. Earth Syst. Sci., 120, 53–64, doi:10.1007/s12040-011-0015-3.

Michel, Yann, Thomas Auligné, and Thibaut Montmerle, 2011 Heterogeneous convective-scale background error covariances with the inclusion of hydrometeor variables. Mon. Wea. Rev., 139, 2994–3015.

Osuri, Krishna K., U. C. Mohanty, A. Routray, and M. Mohapatra, 2011 The impact of satellite-derived wind data assimilation on track, intensity and structure of tropical cyclones over the North Indian Ocean. Int. J. Remote Sens., 33, 1627–1652, doi:10.1080/01431161.2011.596849.

Panda, Jagabandhu, R. K. Giri, K. H. Patel, and R. K. Sharma, 2011: Impact of Satellite Derived Winds and Cumulus Physics during the Occurrence of the Tropical Cyclone Phyan. Indian J. Sci. Tech., 4, 859–875.

Potterjoy, J., and F. Zhang, 2011 Dynamics and structure of forecast error covariance in the core of a developing hurricane. J. Atmos. Sci., 68, 1586–1606.

Rakesh, V., and P. Goswami, 2011 Impact of background error statistics on forecasting of tropical cyclones over the north Indian Ocean. J. Geophys. Res., 116, doi:10.1029/2011JD015751.

Rakesh, V., and P. Goswami, 2011 Impact of background error statistics on 3D-Var assimilation: case study over the Indian region. Meteorol. Atmos. Phy., 112, 63–79, doi:10.1007/s00703-011-0128-x.

Schwitalla, Thomas, Hans-Stefan Bauer, Volker Wulfmeyer, and Fumiko Aoshima, 2011: High-resolution simulation over central Europe: assimilation experiments during COPS IOP 9c. Q. J. Roy. Meteor. Soc., 137, 156–175, doi:10.1002/qj.721.

Singh, Randhir, Chandra Mohan Kishtawal, and Pradip Kumar Pal, 2011 A comparison of the performance of Kalpana and HIRS water vapor radiances in the WRF 3D-Var assimilation system for mesoscale weather predictions. J. Geophys. Res., 116, doi:10.1029/2010JD014969.

Singh, Randhir, Chandra Mohan Kishtawal, and Pradip Kumar Pal, 2011 Use of Atmospheric Infrared Sounder clear-sky and cloud-cleared radiances in the Weather Research and Forecasting 3DVAR assimilation system for mesoscale weather predictions over the Indian region. J. Geophys. Res., 116, doi:10.1029/2011JD016379.

Singh, Randhir, C. M. Kishtawal, P. K. Pal, and P. C. Joshi, 2011 Assimilation of the multisatellite data into the WRF model for track and intensity simulation of the Indian Ocean tropical cyclones. Meteorol. Atmos. Phy., 111, 103–119, doi:10.1007/s00703-011-0127-y.

Singh, Randhir, C. M. Kishtawal, P. K. Pal, and P. C. Joshi, 2011 Improved tropical cyclone forecasts over north Indian Ocean with direct assimilation of AMSU-A radiances. Meteorol. Atmos. Phy., 115, 15–34, doi:10.1007/s00703-011-0165-5.

Sippel, Jason A., Scott A. Braun, and Chung-Lin Shie, 2011 Environmental influences on the strength of Tropical Storm Debby (2006). J. Atmos. Sci., 68, 2557–2581.

Ying, Zhuming, Xuexi Tie, Sasha Madronich, Guohui Li, and Steven Massie, 2011 Simulation of regional dust and its effect on photochemistry in the Mexico City area during MILAGRO experiment. Atmos. Environ., 45, 2549–2558, doi:10.1016/j.atmosenv.2011.02.018.

Zhang, F., Y. Weng, J. F. Gamache, and F. D. Marks, 2011 Performance of convection-permitting hurricane initialization and prediction during 2008–2010 with ensemble data assimilation of inner-core airborne Doppler radar observations. Geophys. Res. Lett., 38, doi:10.1029/2011GL048469.

Zhang, Lei, and Zhaoxia Pu, 2011 Four-dimensional assimilation of multitime wind profiles over a single station and numerical simulation of a mesoscale convective system observed during IHOP_2002. Mon. Wea. Rev., 139, 3369–3388.

Zhang, Meng, Fuqing Zhang, Xiang-Yu Huang, and Xin Zhang, 2011 Intercomparison of an Ensemble Kalman Filter with Three- and Four-Dimensional Variational Data Assimilation Methods in a Limited-Area Model over the Month of June 2003. Mon. Wea. Rev., 139, 566–572.

 


 

2010:

Clark, Adam J., William A. Gallus Jr., and Morris L. Weisman, 2010: Neighborhood-based verification of precipitation forecasts from convection-allowing NCAR WRF model simulations and the operational NAM. Wea. Forecasting, 25, 1495–1509.

Deb, S. K., C. M. Kishtawal, and P. K. Pal, 2010 Impact of Kalpana-1-derived water vapor winds on Indian Ocean tropical cyclone forecasts. Mon. Wea. Rev., 138, 987–1003.

Govindankutty, M., and A. Chandrasekar, 2010 Effect of 3DVAR assimilation of MODIS temperature and humidity profiles on the dynamic and thermodynamic features of three monsoon depressions over the Bay of Bengal. Meteorol. Atmos. Phy., 107, 65–79, doi:10.1007/s00703-010-0069-9.

Hsiao, Ling-Feng, Chi-Sann Liou, Tien-Chiang Yeh, Yong-Run Guo, Der-Song Chen, Kang-Ning Huang, Chuen-Teyr Terng, and Jen-Her Chen, 2010 A Vortex Relocation Scheme for Tropical Cyclone Initialization in Advanced Research WRF. Mon. Wea. Rev., 138, 3298–3315.

Jung, Byoung-Joo, Hyun Mee Kim, Yeon-Hee Kim, Eun-Hee Jeon, and Ki-Hoon Kim, 2010: Observation system experiments for Typhoon Jangmi (200815) observed during T-PARC. Asia-Pac. J. Atmos. Sci., 46, 305–316, doi:10.1007/s13143-010-1007-y.

Karan, Haldun, Patrick J. Fitzpatrick, Christopher M. Hill, Yongzuo Li, Qingnong Xiao, and Eunha Lim, 2010 The formation of multiple squall lines and the impacts of WSR-88D radial winds in a WRF simulation. Wea. Forecasting, 25, 242–262.

Lee, Dong-Kyou, Dae-Yong Eom, Joo-Wan Kim, and Jae-Bok Lee, 2010: High-resolution summer rainfall prediction in the JHWC real-time WRF system. Asia-Pac. J. Atmos. Sci., 46, 341–353, doi:10.1007/s13143-010-1003-2.

Lee, Jo-Han, Hyun-Ha Lee, Yonghan Choi, Hyung-Woo Kim, and Dong-Kyou Lee, 2010: Radar data assimilation for the simulation of mesoscale convective systems. Adv. Atmos. Sci., 27, 1025–1042, doi:10.1007/s00376-010-9162-8.

Li, Xuanli, and John R. Mecikalski, 2010 Assimilation of the dual-polarization Doppler radar data for a convective storm with a warm-rain radar forward operator. J. Geophys. Res., 115, doi:10.1029/2009JD013666.

Park, Soon-Young, Hwa-Woon Lee, Dong-Hyeok Kim, and Soon-Hwan Lee, 2010: Numerical study on wind resources and forecast around coastal area applying inhomogeneous data to variational data assimilation. J. Env. Sci, 19, 983–999, doi:10.5322/JES.2010.19.8.983.

Park, Soon-Young, Hwa Woon Lee, Soon-Hwan Lee, and Dong-Hyeok Kim, 2010: Impact of wind profiler data assimilation on wind field assessment over coastal areas. Asian J. Atmos. Environ., 4, 198–210, doi:10.5572/ajae.2010.4.3.198.

Pu, Zhaoxia, and Lei Zhang, 2010 Validation of Atmospheric Infrared Sounder temperature and moisture profiles over tropical oceans and their impact on numerical simulations of tropical cyclones. J. Geophys. Res., 115, doi:10.1029/2010JD014258.

Routray, A., U. C. Mohanty, Dev Niyogi, S. R. H. Rizvi, and Krishna K. Osuri, 2010: Simulation of heavy rainfall events over Indian monsoon region using WRF-3DVAR data assimilation system. Meteorol. Atmos. Phy., 106, 107–125, doi:10.1007/s00703-009-0054-3.

Routray, A., U. C. Mohanty, S. R. H. Rizvi, Dev Niyogi, Krishna K. Osuri, and D. Pradhan, 2010: Impact of Doppler weather radar data on numerical forecast of Indian monsoon depressions. Q. J. Roy. Meteor. Soc., 136, 1836–1850, doi:10.1002/qj.678.

Singh, Randhir, P. K. Pal, and P. C. Joshi, 2010 Assimilation of Kalpana very high resolution radiometer water vapor channel radiances into a mesoscale model. J. Geophys. Res., 115, doi:10.1029/2010JD014027.

Wu, C.-C. G.-Y. Lien, J.-H. Chen, and F. Zhang, 2010 Assimilation of tropical cyclone track and structure based on the ensemble Kalman filter (EnKF). J. Atmos. Sci., 67, 3806–3822.

Xie, Lian, Bin Liu, and Shiqiu Peng, 2010 Application of scale-selective data assimilation to tropical cyclone track simulation. J. Geophys. Res., 115, doi:10.1029/2009JD013471.

Zhang, Lei, and Zhaoxia Pu, 2010: An Observing System Simulation Experiment (OSSE) to Assess the Impact of Doppler Wind Lidar (DWL) Measurements on the Numerical Simulation of a Tropical Cyclone. Adv. Meteorol., 2010, doi:10.1155/2010/743863.

 


 

2009:

Nakano, Toshio, Noriaki Hashimoto, Kentarou Uehara, Kuniaki Matsuura, and Kouji Kawaguchi, 2009: Improvement of the precision of hindcasted coastal sea surface wind by 3DVAR at extratropical cyclone. J. Jpn. Soc. Civ. Eng., 65, 446–450, doi:10.2208/kaigan.65.446.

Peng, ShiQiu, XiangDe Xu, XiaoHui Shi, DongXiao Wang, YuXiang Zhu, and JingJiao Pu, 2009: The early-warning effects of assimilation of the observations over the large-scale slope of the “World Roof” on its downstream weather forecasting. Chinese Sci. Bull., 54, 706–710, doi:10.1007/s11434-008-0560-6.

Pu, Zhaoxia, Xuanli Li, and Juanzhen Sun, 2009: Impact of airborne Doppler radar data assimilation on the numerical simulation of intensity changes of Hurricane Dennis near a landfall. J. Atmos. Sci., 66, 3351–3365.

Rakesh, V., Randhir Singh, and Prakash C. Joshi, 2009: Intercomparison of the performance of MM5/WRF with and without satellite data assimilation in short-range forecast applications over the Indian region. Meteorol. Atmos. Phy., 105, 133–155, doi:10.1007/s00703-009-0038-3.

Rakesh, V., Randhir Singh, P. K. Pal, and P. C. Joshi, 2009: Impacts of satellite-observed winds and total precipitable water on WRF short-range forecasts over the Indian region during the 2006 summer monsoon. Wea. Forecasting, 24, 1706–1731.

Reinecke, Patrick A., and Dale R. Durran, 2009: Initial-condition sensitivities and the predictability of downslope winds. J. Atmos. Sci., 66, 3401–3418.

Sugimoto, Soichiro, N. Andrew Crook, Juanzhen Sun, Qingnong Xiao, and Dale M. Barker, 2009: An examination of WRF 3DVAR radar data assimilation on its cCapability in retrieving unobserved variables and forecasting precipitation through observing system simulation experiments. Mon. Wea. Rev., 137, 4011–4029.

Sun, Donglian, W. K. M. Lau, Menas Kafatos, Zafer Boybeyi, Gregory Leptoukh, Chaiwei Yang, and Ruixin Yang, 2009: Numerical simulations of the impacts of the Saharan air layer on Atlantic tropical cyclone development. J. Climate, 22, 6230–6250.

Torn, Ryan D., and Gregory J. Hakim, 2009: Ensemble data assimilation applied to RAINEX observations of Hurricane Katrina (2005). Mon. Wea. Rev., 137, 2817–2829.

Torn, Ryan D., and Gregory J. Hakim, 2009: Initial condition sensitivity of western pacific extratropical transitions determined using ensemble-based sensitivity analysis. Mon. Wea. Rev., 137, 3388–3406.

Tsunematsu, Nobumitsu, Hiroyuki Kusaka, and Motoaki Yasui, 2009: Observing systems simulation experiments on abnormally high surface air temperatures in the Tokyo metropolitan area using WRF-VAR. Sci. Onl. Let. Atm., 5, 49–52, doi:10.2151/sola.2009-013.

Xiao, Qingnong, Liqiang Chen, and Xiaoyan Zhang, 2009: Evaluations of BDA scheme using the Advanced Research WRF (ARW) model. J. Appl. Meteor. Climatol., 48, 680–689.

Xiao, Qingnong, Xiaoyan Zhang, Christopher Davis, John Tuttle, Greg Holland, and Patrick J. Fitzpatrick, 2009: Experiments of hurricane initialization with airborne Doppler radar data for the Advanced Research Hurricane WRF (AHW) model. Mon. Wea. Rev., 137, 2758–2777.

Zhang, Fuqing, Yonghui Weng, Jason A. Sippel, Zhiyong Meng, and Craig H. Bishop, 2009: Cloud-resolving hurricane initialization and prediction through assimilation of Doppler radar observations with an ensemble Kalman filter. Mon. Wea. Rev., 137, 2105–2125.

 


 

2008:

Chen, Shu-Hua, Zhan Zhao, Jennifer S. Haase, Aidong Chen, and Francois Vandenberghe, 2008: A study of the characteristics and assimilation of retrieved MODIS total precipitable water data in severe weather simulations. Mon. Wea. Rev., 136, 3608–3628.

Meng, Zhiyong, and Fuqing Zhang, 2008: Tests of an ensemble Kalman filter for mesoscale and regional-scale data assimilation. Part III: Comparison with 3DVAR in a real-data case study. Mon. Wea. Rev., 136, 522–540.

Xiao, Qingnong, Juanzhen Sun, Wen-Chau Lee, Ying-Hwa Kuo, Dale M. Barker, Eunha Lim, Duk-Jin Won, Mi-Seon Lee, Woo-Jin Lee, Joo-Young Cho, Dong-Kyou Lee, and Hee-Sang Lee, 2008: Doppler radar data assimilation in KMA's operational forecasting. Bull. Amer. Meteor. Soc., 89, 39–43.

 


 

2007:

Chen, Shu-Hua, 2007: The impact of assimilating SSM/I and QuikSCAT satellite winds on Hurricane Isidore simulations. Mon. Wea. Rev., 135, 549–566.

Powers, Jordan G., 2007: Numerical prediction of an Antarctic severe wind event with the Weather Research and Forecasting (WRF) model. Mon. Wea. Rev., 135, 3134–3157.

Xiao, Qingnong, Ying-Hwa Kuo, Juanzhen Sun, Wen-Chau Lee, Dale M. Barker, and Eunha Lim, 2007: An approach of radar reflectivity data assimilation and its assessment with the inland QPF of Typhoon Rusa (2002) at landfall. J. Appl. Meteor. Climatol., 46, 14–22.

* Citations in italics are papers which use capabilities of the MM5 3DVAR system which were transferred to WRFDA-3DVAR

 


 

2006:

Cucurull, L., Y-H. Kuo, D. Barker, and S. R. H. Rizvi, 2006: Assessing the impact of simulated COSMIC GPS radio occultation data on weather analysis over the Antarctic: A case study. Mon. Wea. Rev., 134, 3283–3296.

Faccani, Claudia and Rossella Ferretti, 2006: Data assimilation of high-density observations. I: Impact on initial conditions for the MAP/SOP IOP2b. Q. J. Roy. Meteor. Soc., 131, 21–42, doi:10.1256/qj.03.56A.

Faccani, Claudia and Rossella Ferretti, 2006: Data assimilation of high-density observations. II: Impact on the forecast of the precipitation for the MAP/SOP IOP2b. Q. J. Roy. Meteor. Soc., 131, 43–61, doi:10.1256/qj.03.56B.

Lee, Mi-Seon, Dale M. Barker, and Ying-Hwa Kuo, 2006: Background Error Statistics using WRF Ensembles Generated by Randomized Control Variables. J. Korean Meteor. Soc., 42, 153–167.

Lee, Mi-Seon, Dale Barker, Wei Huang, and Ying-Hwa Kuo, 2006: Preliminary tests of First Guess at Appropriate Time (FGAT) with WRF 3DVAR and WRF model. J. Kor. Met. Soc., 41, 495–505.

Lee, Mi-Seon, Ying-Hwa Kuo, Dale M. Barker, and Eunha Lim, 2006: Incremental analysis updates initialization technique applied to 10-km MM5 and MM5 3DVAR. Mon. Wea. Rev., 134, 1389–1404.

Xiao, Qingnong, Ying-Hwa Kuo, Ying Zhang, Dale M. Barker, and Duk-Jin Won, 2006: A tropical cyclone bogus data assimilation scheme in the MM5 3D-Var system and numerical experiments with Typhoon Rusa (2002) near landfall. J. Meteor. Soc. Jpn., 84, 674–689.

* Citations in italics are papers which use capabilities of the MM5 3DVAR system which were transferred to WRFDA-3DVAR

 


 

2005:

Barker, D. M., 2005: Southern High-Latitude Ensemble Data Assimilation in the Antarctic Mesoscale Prediction System. Mon. Wea. Rev., 133, 3431–3449.

Guo, Y.-R., H. Kusaka, D. M. Barker, Y.-H. Kuo, and A. Crook, 2005: Impact of ground-based GPS PW and MM5-3DVar background error statistics on forecast of a convective case. Sci. Onl. Let. Atm., 1, 73–76, doi:10.2151/sola.2005-020.

Huang, Ching-Yuang, Ying-Hwa Kuo, Shu-Hua Chen, and Francois Vandenberghe, 2005: Improvements in typhoon forecasts with assimilated GPS occultation refractivity. Wea. Forecasting, 20, 931–953.

Jianfeng, Gu, Qingnong Xiao, Ying-Hwa Kuo, Dale M. Barker, Xue Jishan, and Ma Xiaoxing, 2005: Assimilation and Simulation of Typhoon Rusa (2002) Using the WRF System. Adv. Atmos. Sci., 22, 415–427, doi:10.1007/BF02918755.

Xiao, Qingnong, Ying-Hwa Kuo, Juanzhen Sun, Wen-Chau Lee, Eunha Lim, Yong-Run Guo, and Dale M. Barker, 2005: Assimilation of Doppler radar observations with a regional 3DVAR System: Impact of Doppler velocities on forecasts of a heavy rainfall case. J. Appl. Meteor., 44, 768–788.

* Citations in italics are papers which use capabilities of the MM5 3DVAR system which were transferred to WRFDA-3DVAR

 


 

2004:

Chen, S.-H., F. Vandenberghe, G. W. Petty, and J. F. Bresch, 2004: Application of SSM/I Satellite Data to a Hurricane Simulation. Q. J. Roy. Meteor. Soc., 130, 801–825, doi:10.1256/qj.02.67.

Cucurull, L., F. Vandenberghe, D. Barker, E. Vilaclara, and A. Ruis, 2004: Three-dimensional variational data assimilation of ground-based GPS ZTD and meteorological observations during the 14 December 2001 storm event over the western Mediterranean Sea. Mon. Wea. Rev., 132, 763–763.

* Citations in italics are papers which use capabilities of the MM5 3DVAR system which were transferred to WRFDA-3DVAR

 

Conference Proceedings:

2014:

Eiserloh, Arthur John, Jr., 2014: Modeling Studies of Landfalling Atmospheric Rivers and Orographic Precipitation over Northern California. 26th Conference on Weather Analysis and Forecasting / 22nd Conference on Numerical Weather Prediction, Atlanta, Georgia, 94th American Meteorological Society Annual Meeting.


2013:

Cipriani, James P., L. A. Treinish, and A. P. Praino, 2013: Hindcast Analysis of the June 2012 Derecho and Its Impact on the Baltimore-Washington Metropolitan Area using High-resolution WRF-ARW. Significant Severe Weather Events 2012, Austin, Texas, 93rd American Meteorological Society Annual Meeting.

Gao, Feng, N. A. Jacobs, X.-Y. Huang, and P. Childs, 2013: Direct assimilation of wind speed and direction for the WRF model. Special Symposium on Advancing Weather and Climate Forecasts: Innovative Techniques and Applications, Austin, Texas, 93rd American Meteorological Society Annual Meeting.

Liu, Yuewei, Y. L. Liu, W. Cheng, L. Pan, G. Roux, J. Y. Byon, S. W. Lee, Y. J. Choi, and B. K. Seo, 2013: Impact of AMSU-AB/MHS radiance on prediction of high-impact weather over Korean Peninsula. Ninth Annual Symposium on Future Operational Environmental Satellite Systems, Austin, Texas, 93rd American Meteorological Society Annual Meeting.


2012:

Chou, Kun-Hsuan, C. C. Wu and S. Z. Lin, 2012: Assessment of the ASCAT wind error characteristics by global dropwindsonde observations and examination its impact on tropical cyclone simulations. 30th Conference on Hurricanes and Tropical Meteorology, Ponte Vedra Beach, Florida.

Karan, Haldun, 2012: Impacts of Horizontal Grid Resolutions of Meteorological Models and Assimilation of WSR-88D Radial Winds on Particle Trajectory and Dispersion Characteristics. 17th Conference on Air Pollution Meteorology with the A&WMA, New Orleans, Louisiana, 92nd American Meteorological Society Annual Meeting.

Liu, Chengsi, and Q. Xiao, 2012: Evaluation of WRF Ensemble-Based Variational (EnVar) Data Assimilation Scheme for An Antarctic Cyclone Study. 16th Symposium on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans and Land Surface, New Orleans, Louisiana, 92nd American Meteorological Society Annual Meeting.

Liu, Yubao, L. Pan, Y. Wu, A. Bourgeois, J. Knievel, S. Swerdlin, X. Y. Huang, J. C. Pace, F. W. Gallagher, and S. F. Halvorson, 2012: Development of the NCAR 4D-REKF Ensemble Data Assimilation and Forecasting System and a Comparison with Dart-EnKF and WRFVAR. 16th Symposium on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans and Land Surface, New Orleans, Louisiana, 92nd American Meteorological Society Annual Meeting.

Noh,Namkyu, 2012: An Application of Adaptive Observation Strategies to Examine Dynamic Process of the Severe Weather: A case study of Typhoon RUSA. American Geophysical Union, Fall Meeting, San Francisco, California.

Pan, Linlin, Y. Liu, D. Rostkier-Edelstein, G. Roux, Y. Zhang, Y. Liu, W. Yu, and R. S. Sheu, 2012: Verification of High-Resolution WRF-RTFDDA Based 4-Dimensional Weather Operational Forecasting System Over Eastern Mediterranean Region with Surface Observations. 21st Conference on Probability and Statistics in the Atmospheric Sciences, New Orleans, Louisiana, 92nd American Meteorological Society Annual Meeting.

Xu, Mei, Y. Liu, W. Yu, J. Sun, M. Ge, J. C. Knievel, and J. C. Pace, 2012: Radar Data Assimilation for Short-Term Forecasting of Convection Using a Hybrid Approach of Latent Heat Nudging, 3DVAR, and Grid Nudging. 16th Symposium on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans and Land Surface, New Orleans, Louisiana, 92nd American Meteorological Society Annual Meeting.

Zhang, Xiaoyan, X.-Y. Huang, T. Auligné, X. Zhang, F. Gao, N. A. Jacobs, and P. Childs, 2012: Evaluation of TAMDAR Data Impact on Forecast Error with WRFDA-FSO System. 16th Symposium on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans and Land Surface, New Orleans, Louisiana, 92nd American Meteorological Society Annual Meeting.


2011:

Gao, Feng, X. Zhang, X.-Y. Huang, X. Zhang, P. Childs, and A. Huffman, 2011: TAMDAR Data Assimilation and Its Impact on Mesoscale Numerical Forecast. 15th Symposium on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans and Land Surface, Seattle, Washington, 91st American Meteorological Society Annual Meeting.

Ge, Xuyang, F. Zhang, Y. Weng, and J. Poterjoy, 2011: A pseudo-ensemble hybrid 3DVar data assimilation system for tropical cyclone initialization. 14th Conference on Mesoscale Processes, Los Angeles, California.

Li, Yongzuo, X. Wang and M. Xue, 2011: Assimilation of Radar Radial Velocity Data with the WRF Ensemble-3DVAR Hybrid System for the Prediction of Hurricane IKE (2008). 15th Symposium on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans and Land Surface, Seattle, Washington, 91st American Meteorological Society Annual Meeting.

Liu, Fuhong, J. R. Krieger and J. Zhang, 2011: Toward producing a state-of-the-art reanalysis over the Chukchi/Beaufort Seas via the WRF-Var data assimilation system: assimilation of in situ and satellite-retrieved surface and upper air observations. 11th Conference on Polar Meteorology and Oceanography, Boston, Massachusetts.

Liu, Zhiquan, H. C. Lin, B. Kuo, D. H. Bromwich, L. S. Bai, 2011: Atmosphere and surface analysis over Northern high-latitude region using the WRF model and its data assimilation system. 11th Conference on Polar Meteorology and Oceanography, Boston, Massachusetts.

Nicholls, Stephen D., and S. G. Decker, 2011: Impact of cycled 3DVAR assimilation of COSMIC observations on nor'easter simulations. 15th Symposium on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans and Land Surface, Seattle, Washington, 91st American Meteorological Society Annual Meeting.

Ruppert, James H. Jr., and R. H. Johnson, 2011: Analysis of Flow Variability during the Terrain-influenced Monsoon Rainfall Experiment (2008). 14th Conference on Mesoscale Processes, Los Angeles, California.

Tsai, Chih-Chien, S. C. Yang, and Y. C. Liou, 2011: Radar Data Assimilation with the WRF-LETKF System and Its Preliminary Results of OSSEs on Typhoon Morakot (2009). 35th Conference on Radar Meteorology, Pittsburg, Pennsylvania.

Wang, Hongli, J. Sun, and Y. R. Guo, 2011: Radar Reflectivity Data Assimilation with the Four-Dimensional Variational System of the Weather Research and Forecast Model. 15th Symposium on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans and Land Surface, Seattle, Washington, 91st American Meteorological Society Annual Meeting.

Xiao, Qingnong, and K. Chu, 2011: Data Assimilation Experiments of an Antarctic Cyclone Using WRF 4DVAR. 15th Symposium on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans and Land Surface, Seattle, Washington, 91st American Meteorological Society Annual Meeting.

Zhang, Xiaoyan, X.-Y. Huang, and X. Zhang, 2011: Evaluation of WRFDA 4D-VAR through Month-long Run and Case Study. 15th Symposium on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans and Land Surface, Seattle, Washington, 91st American Meteorological Society Annual Meeting.


2010:

Biswas, Mrinal K., D. T. N. Krishnamurti, 2010: Impact of assimilation of LASE and dropwindsonde data sets during NAMMA field campaign. 29th Conference on Hurricanes and Tropical Meteorology, Tuscon, Arizona.

Bogomolov, V. Y., E. P. Gordov, V. Krupchatnikoff, and R. Zaripov, 2010: Regional atmospheric and surface layer data as a result of use of WRF and WRF- FDDA based on ERA-40 reanalysis and observation data. American Geophysical Union, Fall Meeting, San Francisco, California.

Chou, Shih-Hung, B. Zavodsky and G. Jedlovec, 2010: Impact of AIRS Thermodynamic Profiles on Regional Weather Forecasting. 17th Conference on Air–Sea Interaction, 17th Conference on Satellite Meteorology and Oceanography, Annapolis, Maryland.

Lu, Xinyan, K. K. W. Cheung and Y. Duan, 2010: Numerical studies on the role of mesoscale convective systems during the formation of Typhoon Ketsana (2003). 29th Conference on Hurricanes and Tropical Meteorology, Tuscon, Arizona.


2009:

Childs, Peter, N. Jacobs, M. Croke, Y. Liu, and X.-Y. Huang, 2009: TAMDAR-Related Impacts on the AirDat Operational WRF-ARW as a Function of Data Assimilation Techniques. 13th Conference on Integrated Observing and Assimilation Systems for Atmosphere, Oceans, and Land Surface, Phoenix, Arizona, COSMIC Special Session at the American Meteorological Society Annual Meeting.

Chou, Shih-Hung, B. Zavodsky and G. J. Jedlovec, 2009: Data assimilation and regional forecasts using Atmospheric InfraRed Sounder (AIRS) profiles. 16th Conference on Satellite Meteorology and Oceanography, Phoenix, Arizona, 89th American Meteorological Society Annual Meeting.

Demirtas, Meral, D. Barker, Y. Chen, J. Hacker, X. Y. Huang, C. Snyder, and X. Wang, 2009: A Hybrid Data Assimilation System (WRF-VAR and Ensemble Transform Kalman Filter) Based Retrospective Tests with Real Observations. 23rd Conference on Weather Analysis and Forecasting/19th Conference on Numerical Weather Prediction, Omaha, Nebraska.

Gutierrez, Grant E., C. L. Moon, D. A. Koch, and S. P. Rocheford, 2009: Analysis of WRF-ARW simulations of the 22 May 2008 Windsor, CO tornado using WSR-88D radar data. The Eighth Annual AMS Student Conference, Phoenix, Arizona, 89th American Meteorological Society Annual Meeting.

Hacker, Joshua, C. Snyder, S. Ha, J. Schramm, M. Pocernich, and D. Dowell, 2009: The Air Force Weather Agency's mesoscale ensemble: scientific description and recent results. 23rd Conference on Weather Analysis and Forecasting/19th Conference on Numerical Weather Prediction, Omaha, Nebraska.

Liu, Yubao, W. Yu, T. Warner, J. Sun, Q. Xiao, and J. Pace, 2009: Short-term explicit forecasting and nowcasting of convection systems with WRF using a hybrid radar data assimilation approach. 23rd Conference on Weather Analysis and Forecasting/19th Conference on Numerical Weather Prediction, Omaha, Nebraska.

Pan, Yujie, and Z. Kun, 2009: Kinematic and thermodynamic structure of the 23 april 2007 squall line over south China. 34th Conference on Radar Meteorology, Williamsburg, Virginia.

Shao, Hui, X. Y. Huang, Z. Liu, T. Auligné, M. Demirtas, S. Rizvi, and H. Lin, 2009: Comprehensive Test-Rig for WRF data Assimilation Developments at NCAR Data Assimilation Testbed Center. 23rd Conference on Weather Analysis and Forecasting/19th Conference on Numerical Weather Prediction, Omaha, Nebraska.

Sun, Juanzhen, C. Davis, M. Weisman, and J. Wilson, 2009: Lessons learned on short-term explicit prediction of storms through a joint IHOP_2002 retrospective study. 23rd Conference on Weather Analysis and Forecasting/19th Conference on Numerical Weather Prediction, Omaha, Nebraska.


2008:

Barker, Dale M., Z. Liu, H. Shao, M. Demirtas, H. Huang, and S. Rugg, 2008: Towards A Unified Variational/Ensemble Data Assimilation System for WRF. 12th Conference on IOAS-AOLS, New Orleans, Louisiana, 88th American Meteorological Society Annual Meeting.

Chen, Shu-Ya, C. Y. Huang and Y. H. Kuo, 2008: Assimilation of COSMIC GPS RO soundings with WRF3DVAR and its impact on the prediction of Typhoon Shan Shan (2006). 12th Conference on IOAS-AOLS, New Orleans, Louisiana, 88th American Meteorological Society Annual Meeting.

Liu, Zhiquan, H. Lin, D. Barker, and J. Xu, 2008: Radiance assimilation in a mesoscale model for improving Hurricane Track Forecast. Tropical Meteorology Special Symposium, New Orleans, Louisiana, 88th American Meteorological Society Annual Meeting.

Routray, Ashish, U. C. Mohanty and S. R. H. Rizvi, 2008: Assimilation of Indian Observation through WRF-Var Modeling System and its Impact. 12th Conference on IOAS-AOLS, New Orleans, Louisiana, 88th American Meteorological Society Annual Meeting.

Shao, Hui, D. Barker, Y. R. Guo, S. Rizvi, Y. H. Kuo, and J. Powers, 2008: Impact of COSMIC Refractivity Observations in Multi-domain Applications at the NCAR DATC. 12th Conference on IOAS-AOLS, New Orleans, Louisiana, 88th American Meteorological Society Annual Meeting.

Shaw, Brent L., C. A. Barrere Jr., R. L. Carpenter Jr., and P. L. Spencer, 2008: Implementation of the WRF model for the Dubai International Airport Aviation Weather Decision Support System (AWDSS). 13th Conference on Aviation, Range and Aerospace Meteorology, New Orleans, Louisiana, 88th American Meteorological Society Annual Meeting.

Xiao, Qingnong, X. Zhang, C. A. Davis, J. D. Tuttle, G. J. Holland, and P. J. Fitzpatrick, 2008: Impacts of Airborne Doppler Radar Data Assimilation on the forecasts of Hurricane Karina (2005). 12th Conference on IOAS-AOLS, New Orleans, Louisiana, 88th American Meteorological Society Annual Meeting.

Xiao, Qingnong, X. Zhang, Z. Liu, W. Wang, C. A. Davis, G. J. Holland, P. J. Fitzpatrick, Y. Li, C. Hill, and H. R. Winterbottom, 2008: Experiments on WRF Hurricane Initialization (WRF-HI) – An Approach Based on WRF Variational Data Assimilation of Remote-Sensing and Synthetic Observations. Tropical Meteorology Special Symposium, New Orleans, Louisiana, 88th American Meteorological Society Annual Meeting.

Zhang, Xiaoyan, Q. Xiao, C. Davis, and J. D. Tuttle, 2008: Impacts of Airborne Doppler Radar Data Assimilation on Hurricane using WRF-Var. 28th Conference on Hurricanes and Tropical Meteorology, Orlando, Florida.


2007:

Barker, Dale M., X. Y. Huang, X. Wang, C. Snyder, and A. C. Lorenc, 2007: Hybrid variational/ensemble data assimilation for WRF. 22nd Conference on Weather Analysis and Forecasting/18th Conference on Numerical Weather Prediction, Park City, Utah.

Huang, Xiang-Yu, Q. Xiao, X. Zhang, W. Huang, D. M. Barker, J. Michalakes, J. Bray, Z. Ma, T. Henderson, J. Dudhia, X. Zhang, D. J. Won, Y. R. Guo, H. C. Lin, and Y. H. Kuo, 2007: 4-Dimensional Variational (4D-Var) data assimilation for the Weather Research and Forecasting model (WRF) model. 22nd Conference on Weather Analysis and Forecasting/18th Conference on Numerical Weather Prediction, Park City, Utah.

Klemp, Joseph B., 2007: Advances in the Weather Research and Forecasting (WRF) Model. 22nd Conference on Weather Analysis and Forecasting/18th Conference on Numerical Weather Prediction, Park City, Utah.

Lu, Duanjun, R. S. Reddy and L. White, 2007: Investigation of WRFVAR performance on hurricane simulation. 11th Symposium on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans and Land Surface, San Antonio, Texas, 87th American Meteorological Society Annual Meeting.

Meng, Zhiyong, and F. Zhang, 2007: Tests of an Ensemble Kalman Filter for Mesoscale and Regional-scale Data Assimilation: Real Data Application in Comparison to 3DVar. 12th Conference on Mesoscale Processes, Waterville Valley, New Hampshire.

Wang, Xuguang, D. Barker, C. Snyder, and T. Hamill, 2007: A hybrid ensemble transform Kalman filter(ETKF)-3DVAR data assimilation scheme for WRF. 11th Symposium on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans and Land Surface, San Antonio, Texas, 87th American Meteorological Society Annual Meeting.

Xiao, Qingnong, C. Davis, X. Zhang, J. Tuttle, G. Holland, and Y. H. Kuo, 2007: Initialization of Hurricane Jeanne (2004) Using Airborne Doppler Radar Data. 11th Symposium on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans and Land Surface, San Antonio, Texas, 87th American Meteorological Society Annual Meeting.

Xiao, Qingnong, J. Sun, W. C. Lee, E. Lim, J. Gu, S. Sugimoto, X. Zhang, Y. R. Guo, D. M. Barker, X.-Y. Huang, and Y. H. Kuo, 2007: Variational Doppler Radar Data Assimilation for the Weather Research and Forecasting Model. 11th Symposium on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans and Land Surface, San Antonio, Texas, 87th American Meteorological Society Annual Meeting.

Yu, Wei, Y. Liu and T. Warner, 2007: An evaluation of 3DVAR, nudging-based FDDA and a hybrid scheme for summer convection forecasts. 22nd Conference on Weather Analysis and Forecasting/18th Conference on Numerical Weather Prediction, Park City, Utah.

Zheng, Weizhong, X. Li, C. Z. Zou, and W. G. Pichel, 2007: Applications in exploiting Synthetic Aperture Radar for hurricane initialization and simulation. 11th Symposium on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans and Land Surface, San Antonio, Texas, 87th American Meteorological Society Annual Meeting.


2006:

, 2006: . 11th Conference on Mesoscale Processes, Albuquerque, New Mexico.


2005:

Sugimoto, Soichiro, N. A. Crook, J. Sun, D. M. Barker, and Q. Xiao, J. Gu, J. Sun, Y. H. Kuo, and Y. R. Guo, 2005: Assimilation of multiple-Doppler radar data with WRF-3DVAR system: Preliminary results in observing system simulation experiments. 11th Conference on Mesoscale Processes, Albuquerque, New Mexico.

Xiao, Qingnong, J. Gu, J. Sun, Y. H. Kuo, and Y. R. Guo, 2005: Assimilation of Doppler radar observations to improve the QPF of an IHOP squall line. 11th Conference on Mesoscale Processes, Albuquerque, New Mexico.


2004:

Kusaka, Hiroyuki, Y. R. Guo, A. Crook, D. M. Barker, and H. Hirakuchi, 2004: The Impact of Assimilating GPS-PW data using WRF-3DVAR on a Simulation of a Squall Line Observed during IHOP. 20th Conference on Weather Analysis and Forecasting/16th Conference on Numerical Weather Prediction, Seattle, Washington, 84th American Meteorological Society Annual Meeting.


2003:

Faccani, C., R. Ferretti, R. Pacione, F. Vespe, L. Cucurull, and D. M. Barker, 2003: Near real-time data assimilation of GPS ZTD and PW into a non-hydrostatic model. Proc. Atmospheric Remote Sensing using Satellite Navigation Systems, Matera, Italy, European Space Agency & International Union of Radio Science, Matera, Italy,.

 

Books:

Lynch, P. and X.-Y. Huang, 2010: Initialization. Data Assimilation: Making sense of observations, W. Lahoz, B. Khattatov and R. Menard, Eds., Springer, 241–262.