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Meng, Zhiyong; Zhang, Fuqing; (3) · Lundquist, Katherine A.; Chow, Fotini Katopodes; Lundquist, Julie K.; (3) · Liu, Bin; Liu, Huiqing; Xie, Lian; Guan, Changlong; Zhao, Dongliang; (3) · Hancock, G.R.; Verdon-Kidd, D.; Lowry, J.B.C.; (3)

journalArticle (630)

A Coupled Atmosphere–Wave–Ocean Modeling System: Simulation of the Intensity of an Idealized Tropical Cyclone (3) · Soil erosion predictions from a landscape evolution model – An assessment of a post-mining landform using spatial climate change analogues (3) · Evaluation of Surface Analyses and Forecasts with a Multiscale Ensemble Kalman Filter in Regions of Complex Terrain (2) · Quantifying the effects of climate change on hydrological regime and stream biota in a groundwater-dominated catchment: A modelling approach combining SWAT-MODFLOW with flow-biota empirical models (2) · Tests of an Ensemble Kalman Filter for Mesoscale and Regional-Scale Data Assimilation. Part IV: Comparison with 3DVAR in a Month-Long Experiment (2) · Modeling the Atmospheric Boundary Layer Wind Response to Mesoscale Sea Surface Temperature Perturbations (2) · Evaluation of a seven-year air quality simulation using the Weather Research and Forecasting (WRF)/Community Multiscale Air Quality (CMAQ) models in the eastern United States (2) · Evaluation of coupled wind / wave model simulations of offshore winds in the Mid-Atlantic Bight using lidar-equipped buoys. (2) · Modelling spatio-temporal patterns of soil carbon and greenhouse gas emissions in grazing lands: Current status and prospects (2) · An Immersed Boundary Method for the Weather Research and Forecasting Model (2) · Nature-based solutions efficiency evaluation against natural hazards: Modelling methods, advantages and limitations (2) · Assimilation of Precipitation-Affected Radiances in a Cloud-Resolving WRF Ensemble Data Assimilation System (2) · A New Way to Improve Seasonal Prediction by Diagnosing and Correcting the Intermodel Systematic Errors (2) · E3DVar: Coupling an Ensemble Kalman Filter with Three-Dimensional Variational Data Assimilation in a Limited-Area Weather Prediction Model and Comparison to E4DVar (2) · Effects of a severe storm on seagrass meadows (2) · Performance of the Weather Research and Forecasting Model for Month-Long Pan-Arctic Simulations (2) · A High-Resolution Coupled Riverine Flow, Tide, Wind, Wind Wave, and Storm Surge Model for Southern Louisiana and Mississippi. Part I: Model Development and Validation (2)

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https://linkinghub.elsevier.com/retrieve/pii/S0048969717308665 (3) · http://journals.ametsoc.org/doi/10.1175/1520-0493(2003)1312.0.CO;2 (2) · https://journals.ametsoc.org/mwr/article/139/1/132/71287/A-Coupled-AtmosphereWaveOcean-Modeling-System (2) · https://linkinghub.elsevier.com/retrieve/pii/S0048969720326097 (2) · https://linkinghub.elsevier.com/retrieve/pii/S0048969720344624 (2) · https://linkinghub.elsevier.com/retrieve/pii/S0048969720349020 (2) · http://journals.ametsoc.org/doi/10.1175/2009MWR2990.1 (2) · https://linkinghub.elsevier.com/retrieve/pii/S0048969721021288 (2) · https://journals.ametsoc.org/view/journals/mwre/aop/MWR-D-21-0166.1/MWR-D-21-0166.1.xml (2) · http://journals.ametsoc.org/doi/10.1175/MWR-D-12-00075.1 (2) · https://linkinghub.elsevier.com/retrieve/pii/S0048969713014253 (2) · http://journals.ametsoc.org/doi/10.1175/MWR-D-12-00055.1 (2)

10.1016/j.scitotenv.2017.04.038 (3) · 10.1175/2010MWR3396.1 (3) · 10.1175/MWR-D-12-00055.1 (2) · 10.1175/MWR-D-21-0166.1 (2) · 10.1016/j.scitotenv.2020.141373 (2) · 10.1016/j.scitotenv.2020.140933 (2) · 10.1175/MWR-D-12-00075.1 (2) · 10.1175/MWR-D-13-00332.1 (2) · 10.1016/j.scitotenv.2013.11.121 (2) · 10.1016/j.scitotenv.2020.139092 (2) · 10.1175/2008MWR2676.1 (2) · 10.1175/2009MWR2990.1 (2) · 10.1175/2008MWR2270.1 (2) · 10.1175/MWR-D-10-05065.1 (2) · 10.1175/2010MWR3612.1 (2) · 10.1016/j.scitotenv.2021.147058 (2) · 10.1175/2009MWR2906.1 (2)

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