Articles | Volume 18, issue 8
https://doi.org/10.5194/acp-18-5529-2018
https://doi.org/10.5194/acp-18-5529-2018
Research article
 | 
23 Apr 2018
Research article |  | 23 Apr 2018

Impacts of aerosols on seasonal precipitation and snowpack in California based on convection-permitting WRF-Chem simulations

Longtao Wu, Yu Gu, Jonathan H. Jiang, Hui Su, Nanpeng Yu, Chun Zhao, Yun Qian, Bin Zhao, Kuo-Nan Liou, and Yong-Sang Choi

Related authors

Atmospheric motion vector (AMV) error characterization and bias correction by leveraging independent lidar data: a simulation using an observing system simulation experiment (OSSE) and optical flow AMVs
Hai Nguyen, Derek Posselt, Igor Yanovsky, Longtao Wu, and Svetla Hristova-Veleva
Atmos. Meas. Tech., 17, 3103–3119, https://doi.org/10.5194/amt-17-3103-2024,https://doi.org/10.5194/amt-17-3103-2024, 2024
Short summary
Simulated multispectral temperature and atmospheric composition retrievals for the JPL GEO-IR Sounder
Vijay Natraj, Ming Luo, Jean-Francois Blavier, Vivienne H. Payne, Derek J. Posselt, Stanley P. Sander, Zhao-Cheng Zeng, Jessica L. Neu, Denis Tremblay, Longtao Wu, Jacola A. Roman, Yen-Hung Wu, and Leonard I. Dorsky
Atmos. Meas. Tech., 15, 1251–1267, https://doi.org/10.5194/amt-15-1251-2022,https://doi.org/10.5194/amt-15-1251-2022, 2022
Short summary
Using machine learning to model uncertainty for water vapor atmospheric motion vectors
Joaquim V. Teixeira, Hai Nguyen, Derek J. Posselt, Hui Su, and Longtao Wu
Atmos. Meas. Tech., 14, 1941–1957, https://doi.org/10.5194/amt-14-1941-2021,https://doi.org/10.5194/amt-14-1941-2021, 2021
Short summary
WRF-Chem simulation of aerosol seasonal variability in the San Joaquin Valley
Longtao Wu, Hui Su, Olga V. Kalashnikova, Jonathan H. Jiang, Chun Zhao, Michael J. Garay, James R. Campbell, and Nanpeng Yu
Atmos. Chem. Phys., 17, 7291–7309, https://doi.org/10.5194/acp-17-7291-2017,https://doi.org/10.5194/acp-17-7291-2017, 2017
Short summary
Impact of environmental moisture on tropical cyclone intensification
L. Wu, H. Su, R. G. Fovell, T. J. Dunkerton, Z. Wang, and B. H. Kahn
Atmos. Chem. Phys., 15, 14041–14053, https://doi.org/10.5194/acp-15-14041-2015,https://doi.org/10.5194/acp-15-14041-2015, 2015

Related subject area

Subject: Aerosols | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Revealing dominant patterns of aerosol regimes in the lower troposphere and their evolution from preindustrial times to the future in global climate model simulations
Jingmin Li, Mattia Righi, Johannes Hendricks, Christof G. Beer, Ulrike Burkhardt, and Anja Schmidt
Atmos. Chem. Phys., 24, 12727–12747, https://doi.org/10.5194/acp-24-12727-2024,https://doi.org/10.5194/acp-24-12727-2024, 2024
Short summary
Improving estimation of a record-breaking east Asian dust storm emission with lagged aerosol Ångström exponent observations
Yueming Cheng, Tie Dai, Junji Cao, Daisuke Goto, Jianbing Jin, Teruyuki Nakajima, and Guangyu Shi
Atmos. Chem. Phys., 24, 12643–12659, https://doi.org/10.5194/acp-24-12643-2024,https://doi.org/10.5194/acp-24-12643-2024, 2024
Short summary
Impact of biomass burning aerosols (BBA) on the tropical African climate in an ocean–atmosphere–aerosol coupled climate model
Marc Mallet, Aurore Voldoire, Fabien Solmon, Pierre Nabat, Thomas Drugé, and Romain Roehrig
Atmos. Chem. Phys., 24, 12509–12535, https://doi.org/10.5194/acp-24-12509-2024,https://doi.org/10.5194/acp-24-12509-2024, 2024
Short summary
Retrieval of refractive index and water content for the coating materials of aged black carbon aerosol based on optical properties: a theoretical analysis
Jia Liu, Cancan Zhu, Donghui Zhou, and Jinbao Han
Atmos. Chem. Phys., 24, 12341–12354, https://doi.org/10.5194/acp-24-12341-2024,https://doi.org/10.5194/acp-24-12341-2024, 2024
Short summary
Predicting hygroscopic growth of organosulfur aerosol particles using COSMOtherm
Zijun Li, Angela Buchholz, and Noora Hyttinen
Atmos. Chem. Phys., 24, 11717–11725, https://doi.org/10.5194/acp-24-11717-2024,https://doi.org/10.5194/acp-24-11717-2024, 2024
Short summary

Cited articles

Ault, A. P., Williams, C. R., White, A. B., Neiman, P. J., Creamean, J. M., Gaston, C. J., Ralph, F. M., and Prather K. A.: Detection of Asian dust in California orographic precipitation, J. Geophys. Res., 116, D16205, https://doi.org/10.1029/2010JD015351, 2011. 
Ban, N., Schmidli, J., and Schär C.: Evaluation of the convection-resolving regional climate modeling approach in decade-long simulations, J. Geophys. Res.-Atmos., 119, 7889–7907, doi:10.1002/2014JD021478, 2014. 
Barnard, J. C., Fast, J. D., Paredes-Miranda, G., Arnott, W. P., and Laskin, A.: Technical Note: Evaluation of the WRF-Chem “Aerosol Chemical to Aerosol Optical Properties” Module using data from the MILAGRO campaign, Atmos. Chem. Phys., 10, 7325–7340, https://doi.org/10.5194/acp-10-7325-2010, 2010. 
Bechtold, P., Semane, N., Lopez, P., Chaboureau, J.-P., Beljaars, A., and Bormann, N.: Representing equilibrium and nonequilibrium convection in large-scale models, J. Atmos. Sci., 71, 734–753, 2014. 
Benedict, J. J., Maloney, E. D., Sobel, A. H., Frierson, D. M., and Donner, L. J.: Tropical intraseasonal variability in version 3 of the GFDL atmospheremodel, J. Clim., 26, 426–449, 2013. 
Download
Altmetrics
Final-revised paper
Preprint