Articles | Volume 11, issue 8
https://doi.org/10.5194/gmd-11-3147-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-11-3147-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Methods for assessment of models
| 
03 Aug 2018
Methods for assessment of models |
| 03 Aug 2018
| 03 Aug 2018
The importance of considering sub-grid cloud variability when using satellite observations to evaluate the cloud and precipitation simulations in climate models
Hua Song
Joint Center for Earth Systems Technology, UMBC, Baltimore, MD, USA
Joint Center for Earth Systems Technology, UMBC, Baltimore, MD, USA
Physics Department, UMBC, Baltimore, MD, USA
Po-Lun Ma
Atmospheric Sciences and Global Change Division, Pacific Northwest National
Laboratory, Richland, WA, USA
Steven Ghan
Atmospheric Sciences and Global Change Division, Pacific Northwest National
Laboratory, Richland, WA, USA
Minghuai Wang
Institute for Climate and Global Change Research & School of Atmospheric
Sciences, Nanjing University, Nanjing, China
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Total article views: 2,510 (including HTML, PDF, and XML)
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- Superparameterised cloud effects in the EMAC general circulation model (v2.50) – influences of model configuration H. Rybka & H. Tost 10.5194/gmd-13-2671-2020
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- Subtropical Marine Low Stratiform Cloud Deck Spatial Errors in the E3SMv1 Atmosphere Model M. Brunke et al. 10.1029/2019GL084747
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- Climate Impact of Cloud Water Inhomogeneity through Microphysical Processes in a Global Climate Model H. Hotta et al. 10.1175/JCLI-D-19-0772.1
- Droplet collection efficiencies inferred from satellite retrievals constrain effective radiative forcing of aerosol–cloud interactions C. Beall et al. 10.5194/acp-24-5287-2024
- Role of Cloud Subgrid‐Scale Structure in Modulating Clouds Viewed by ISCCP, MODIS, and MISR Simulators X. Wang 10.1029/2021JD036378
- Reducing the aerosol forcing uncertainty using observational constraints on warm rain processes J. Mülmenstädt et al. 10.1126/sciadv.aaz6433
- The Key Role of Warm Rain Parameterization in Determining the Aerosol Indirect Effect in a Global Climate Model X. Jing et al. 10.1175/JCLI-D-18-0789.1
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- Using radar observations to evaluate 3-D radar echo structure simulated by the Energy Exascale Earth System Model (E3SM) version 1 J. Wang et al. 10.5194/gmd-14-719-2021
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Latest update: 22 May 2025
