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: Geoscientific Model Development

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Bai, Zehua; Wu, Qizhong; Cao, Kai; Sun, Yiming; Cheng, Huaqiong; (1) · Berg, L. K.; Shrivastava, M.; Easter, R. C.; Fast, J. D.; Chapman, E. G.; Liu, Y.; Ferrare, R. A.; (1) · Branch, Oliver; Schwitalla, Thomas; Temimi, Marouane; Fonseca, Ricardo; Nelli, Narendra; Weston, Michael; Milovac, Josipa; Wulfmeyer, Volker; (1) · Chen, D.; Liu, Z.; Schwartz, C. S.; Lin, H.-C.; Cetola, J. D.; Gu, Y.; Xue, L.; (1) · Gavidia-Calderón, Mario Eduardo; Ibarra-Espinosa, Sergio; Kim, Youngseob; Zhang, Yang; Andrade, Maria de Fatima; (2) · Gómez-Navarro, J. J.; Raible, C. C.; Dierer, S.; (1) · Huang, Xingying; Gettelman, Andrew; Skamarock, William C.; Lauritzen, Peter Hjort; Curry, Miles; Herrington, Adam; Truesdale, John T.; Duda, Michael; (1) · Ko, Jeong-Su; Lim, Kyo-Sun Sunny; Kim, Kwonil; Lee, Gyuwon; Thompson, Gregory; Berne, Alexis; (1) · Li, Zhiqiang; Wan, Bingcheng; Zhou, Yulun; Wong, Hokit; (1) · Liang, Yanfei; Zang, Zengliang; Liu, Dong; Yan, Peng; Hu, Yiwen; Zhou, Yan; You, Wei; (1) · Lu, Yen-Sen; Good, Garrett H.; Elbern, Hendrik; (1) · Ma, Siqi; Zhang, Xuelei; Gao, Chao; Tong, Daniel Q.; Xiu, Aijun; Wu, Guangjian; Cao, Xinyuan; Huang, Ling; Zhao, Hongmei; Zhang, Shichun; Ibarra-Espinosa, Sergio; Wang, Xin; Li, Xiaolan; Dan, Mo; (1) · Nicholls, Stephen D.; Decker, Steven G.; Tao, Wei-Kuo; Lang, Stephen E.; Shi, Jainn J.; Mohr, Karen I.; (1) · Nunalee, C. G.; Horváth, á.; Basu, S.; (1) · Park, S. K.; Lim, S.; Zupanski, M.; (1) · Román-Cascón, Carlos; Lothon, Marie; Lohou, Fabienne; Hartogensis, Oscar; Vila-Guerau de Arellano, Jordi; Pino, David; Yagüe, Carlos; Pardyjak, Eric R.; (1) · Rudisill, William; Flores, Alejandro; Carroll, Rosemary; (1) · Tang, Wenfu; Emmons, Louisa K.; Worden, Helen M.; Kumar, Rajesh; He, Cenlin; Gaubert, Benjamin; Zheng, Zhonghua; Tilmes, Simone; Buchholz, Rebecca R.; Martinez-Alonso, Sara-Eva; Granier, Claire; Soulie, Antonin; McKain, Kathryn; Daube, Bruce C.; Peischl, Jeff; Thompson, Chelsea; Levelt, Pieternel; (1) · Wang, Shizhang; Liu, Zhiquan; (1) · Wang, Zhenming; Zhang, Shaoqing; Jin, Yishuai; Jia, Yinglai; Yu, Yangyang; Gao, Yang; Yu, Xiaolin; Li, Mingkui; Lin, Xiaopei; Wu, Lixin; (1) · Wilmot, C.-S. M.; Rappenglück, B.; Li, X.; Cuchiara, G.; (1) · Yu, Entao; Bai, Rui; Chen, Xia; Shao, Lifang; (1) · Zhang, Mingshuai; Zhao, Chun; Yang, Yuhan; Du, Qiuyan; Shen, Yonglin; Lin, Shengfu; Gu, Dasa; Su, Wenjing; Liu, Cheng; (1) · Zhao, Chun; Huang, Maoyi; Fast, Jerome D.; Berg, Larry K.; Qian, Yun; Guenther, Alex; Gu, Dasa; Shrivastava, Manish; Liu, Ying; Walters, Stacy; Pfister, Gabriele; Jin, Jiming; Shilling, John E.; Warneke, Carsten; (1) · Zhong, Xiaohui; Ma, Zhijian; Yao, Yichen; Xu, Lifei; Wu, Yuan; Wang, Zhibin; (1)

journalArticle (26)

A new WRF-Chem treatment for studying regional-scale impacts of cloud processes on aerosol and trace gases in parameterized cumuli (1) · A radar reflectivity operator with ice-phase hydrometeors for variational data assimilation (version 1.0) and its evaluation with real radar data (1) · Advancing precipitation prediction using a new-generation storm-resolving model framework – SIMA-MPAS (V1.0): a case study over the western United States (1) · Application of regional meteorology and air quality models based on the microprocessor without interlocked piped stages (MIPS) and LoongArch CPU platforms (1) · Application of the Multi-Scale Infrastructure for Chemistry and Aerosols version 0 (MUSICAv0) for air quality research in Africa (1) · Development of a three-dimensional variational assimilation system for lidar profile data based on a size-resolved aerosol model in WRF–Chem model v3.9.1 and its application in PM2.5 forecasts across China (1) · Evaluating 3 decades of precipitation in the Upper Colorado River basin from a high-resolution regional climate model (1) · High-resolution numerical modeling of mesoscale island wakes and sensitivity to static topographic relief data (1) · Impact of physical parameterizations on wind simulation with WRF V3.9.1.1 under stable conditions at planetary boundary layer gray-zone resolution: a case study over the coastal regions of North China (1) · Incoming data quality control in high-resolution urban climate simulations: a Hong Kong–Shenzhen area urban climate simulation as a case study using the WRF/Noah LSM/SLUCM model (Version 3.7.1) (1) · Influence of bulk microphysics schemes upon Weather Research and Forecasting (WRF) version 3.6.1 nor'easter simulations (1) · MM5 v3.6.1 and WRF v3.5.1 model comparison of standard and surface energy variables in the development of the planetary boundary layer (1) · Modeling sensitivities of BVOCs to different versions of MEGAN emission schemes in WRF-Chem (v3.6) and its impacts over eastern China (1) · Monthly-scale extended predictions using the atmospheric model coupled with a slab ocean (1) · Multimodel simulations of a springtime dust storm over northeastern China: implications of an evaluation of four commonly used air quality models (CMAQ v5.2.1, CAMx v6.50, CHIMERE v2017r4, and WRF-Chem v3.9.1) (1) · Optimization of weather forecasting for cloud cover over the European domain using the meteorological component of the Ensemble for Stochastic Integration of Atmospheric Simulations version 1.0 (1) · Seasonal and diurnal performance of daily forecasts with WRF V3.8.1 over the United Arab Emirates (1) · Sensitivity of biogenic volatile organic compounds to land surface parameterizations and vegetation distributions in California (1) · Sensitivity of the WRF model to PBL parametrisations and nesting techniques: evaluation of wind storms over complex terrain (1) · Simulated microphysical properties of winter storms from bulk-type microphysics schemes and their evaluation in the Weather Research and Forecasting (v4.1.3) model during the ICE-POP 2018 field campaign (1) · Simulation of O3 and NOx in São Paulo street urban canyons with VEIN (v0.2.2) and MUNICH (v1.0) (2) · Structure of forecast error covariance in coupled atmosphere–chemistry data assimilation (1) · Surface representation impacts on turbulent heat fluxes in the Weather Research and Forecasting (WRF) model (v.4.1.3) (1) · The impact of aerosol optical depth assimilation on aerosol forecasts and radiative effects during a wild fire event over the United States (1) · WRF–ML v1.0: a bridge between WRF v4.3 and machine learning parameterizations and its application to atmospheric radiative transfer (1)

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