Articles | Volume 13, issue 16
https://doi.org/10.5194/acp-13-8335-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-13-8335-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
22 Aug 2013
Research article |
| 22 Aug 2013
The cloud–aerosol–radiation (CAR) ensemble modeling system
X.-Z. Liang
Department of Atmospheric and Oceanic Science, University of Maryland, College Park, MD 20742-2425, USA
Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20740-3823, USA
Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20740-3823, USA
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Cited
18 citations as recorded by crossref.
- MODIS Consistent Vegetation Parameter Specifications and Their Impacts on Regional Climate Simulations M. Xu et al. https://doi.org/10.1175/JCLI-D-14-00082.1
- Improving US extreme precipitation simulation: sensitivity to physics parameterizations C. Sun & X. Liang https://doi.org/10.1007/s00382-020-05267-6
- Regional climate modeling to understand Tibetan heating remote impacts on East China precipitation H. Xu et al. https://doi.org/10.1007/s00382-022-06266-5
- Simulation of seasonal US precipitation and temperature by the nested CWRF-ECHAM system L. Chen et al. https://doi.org/10.1007/s00382-015-2619-9
- Application of deep learning in summer climate prediction over northwestern China based on CWRF model Q. Li et al. https://doi.org/10.1016/j.atmosres.2024.107694
- CWRF downscaling and understanding of China precipitation projections R. Jiang et al. https://doi.org/10.1007/s00382-021-05759-z
- Enhancing summer extreme precipitation prediction in the Yangtze River Basin through CWRF downscaling and its skillful multi-physics ensemble approach Y. Zhao & X. Liang https://doi.org/10.1007/s00382-024-07153-x
- Evaluation of ocean data assimilation in CAS-ESM-C: Constraining the SST field X. Dong et al. https://doi.org/10.1007/s00376-016-5234-8
- Dynamical downscaling simulation of the East Asian summer monsoon in a regional Climate‐Weather Research and Forecasting model Q. Li et al. https://doi.org/10.1002/joc.6800
- Improving US extreme precipitation simulation: dependence on cumulus parameterization and underlying mechanism C. Sun & X. Liang https://doi.org/10.1007/s00382-020-05328-w
- CWRF-based ensemble simulation of tropical cyclone activity near China and its sensitivity to the model physical parameterization schemes W. Shi et al. https://doi.org/10.1016/j.aosl.2020.100004
- Regional climate model intercomparison over the Tibetan Plateau in the GEWEX/LS4P Phase I J. Tang et al. https://doi.org/10.1007/s00382-023-06992-4
- Understanding and improving Yangtze River Basin summer precipitation prediction using an optimal multi-Physics ensemble Y. Zhao et al. https://doi.org/10.1007/s11707-024-1118-x
- CWRF performance at downscaling China climate characteristics X. Liang et al. https://doi.org/10.1007/s00382-018-4257-5
- Operational climate prediction in the era of big data in China: Reviews and prospects X. Wang et al. https://doi.org/10.1007/s13351-016-6081-3
- Effects of cumulus parameterization closures on simulations of summer precipitation over the United States coastal oceans F. Qiao & X. Liang https://doi.org/10.1002/2015MS000621
- Effects of cumulus parameterizations on predictions of summer flood in the Central United States F. Qiao & X. Liang https://doi.org/10.1007/s00382-014-2301-7
- Predicting climate anomalies: A real challenge H. Wang et al. https://doi.org/10.1016/j.aosl.2021.100115
18 citations as recorded by crossref.
- MODIS Consistent Vegetation Parameter Specifications and Their Impacts on Regional Climate Simulations M. Xu et al. https://doi.org/10.1175/JCLI-D-14-00082.1
- Improving US extreme precipitation simulation: sensitivity to physics parameterizations C. Sun & X. Liang https://doi.org/10.1007/s00382-020-05267-6
- Regional climate modeling to understand Tibetan heating remote impacts on East China precipitation H. Xu et al. https://doi.org/10.1007/s00382-022-06266-5
- Simulation of seasonal US precipitation and temperature by the nested CWRF-ECHAM system L. Chen et al. https://doi.org/10.1007/s00382-015-2619-9
- Application of deep learning in summer climate prediction over northwestern China based on CWRF model Q. Li et al. https://doi.org/10.1016/j.atmosres.2024.107694
- CWRF downscaling and understanding of China precipitation projections R. Jiang et al. https://doi.org/10.1007/s00382-021-05759-z
- Enhancing summer extreme precipitation prediction in the Yangtze River Basin through CWRF downscaling and its skillful multi-physics ensemble approach Y. Zhao & X. Liang https://doi.org/10.1007/s00382-024-07153-x
- Evaluation of ocean data assimilation in CAS-ESM-C: Constraining the SST field X. Dong et al. https://doi.org/10.1007/s00376-016-5234-8
- Dynamical downscaling simulation of the East Asian summer monsoon in a regional Climate‐Weather Research and Forecasting model Q. Li et al. https://doi.org/10.1002/joc.6800
- Improving US extreme precipitation simulation: dependence on cumulus parameterization and underlying mechanism C. Sun & X. Liang https://doi.org/10.1007/s00382-020-05328-w
- CWRF-based ensemble simulation of tropical cyclone activity near China and its sensitivity to the model physical parameterization schemes W. Shi et al. https://doi.org/10.1016/j.aosl.2020.100004
- Regional climate model intercomparison over the Tibetan Plateau in the GEWEX/LS4P Phase I J. Tang et al. https://doi.org/10.1007/s00382-023-06992-4
- Understanding and improving Yangtze River Basin summer precipitation prediction using an optimal multi-Physics ensemble Y. Zhao et al. https://doi.org/10.1007/s11707-024-1118-x
- CWRF performance at downscaling China climate characteristics X. Liang et al. https://doi.org/10.1007/s00382-018-4257-5
- Operational climate prediction in the era of big data in China: Reviews and prospects X. Wang et al. https://doi.org/10.1007/s13351-016-6081-3
- Effects of cumulus parameterization closures on simulations of summer precipitation over the United States coastal oceans F. Qiao & X. Liang https://doi.org/10.1002/2015MS000621
- Effects of cumulus parameterizations on predictions of summer flood in the Central United States F. Qiao & X. Liang https://doi.org/10.1007/s00382-014-2301-7
- Predicting climate anomalies: A real challenge H. Wang et al. https://doi.org/10.1016/j.aosl.2021.100115
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