publication . Article . Other literature type . 2018

The importance of considering sub-grid cloud variability when using satellite observations to evaluate the cloud and precipitation simulations in climate models

Song, Hua; Zhang, Zhibo; Ma, Po-Lun; Ghan, Steven; Wang, Minghuai;
Open Access
  • Published: 03 Aug 2018 Journal: Geoscientific Model Development, volume 11, pages 3,147-3,158 (eissn: 1991-9603, Copyright policy)
  • Publisher: Copernicus GmbH
Abstract
<jats:p>Abstract. Satellite cloud observations have become an indispensable tool for evaluating general circulation models (GCMs). To facilitate the satellite and GCM comparisons, the CFMIP (Cloud Feedback Model Inter-comparison Project) Observation Simulator Package (COSP) has been developed and is now increasingly used in GCM evaluations. Real-world clouds and precipitation can have significant sub-grid variations, which, however, are often ignored or oversimplified in the COSP simulation. In this study, we use COSP cloud simulations from the Super-Parameterized Community Atmosphere Model (SPCAM5) and satellite observations from the Moderate Resolution Imaging...
Subjects
free text keywords: Geology, QE1-996.5
Funded by
NSF| MRI: Acquisition of an Interdisciplinary Facility for High-Performance Computing
Project
  • Funder: National Science Foundation (NSF)
  • Project Code: 0821258
  • Funding stream: Directorate for Computer & Information Science & Engineering | Division of Computer and Network Systems
,
NSF| SCREMS: Parallel Computing for Interdisciplinary Research in Mathematics and Statistics
Project
  • Funder: National Science Foundation (NSF)
  • Project Code: 0821311
  • Funding stream: Directorate for Mathematical & Physical Sciences | Division of Mathematical Sciences
,
NSF| MRI: Acquisition of Hybrid CPU/GPU Nodes for the Interdisciplinary UMBC High Performance Computing Facility
Project
  • Funder: National Science Foundation (NSF)
  • Project Code: 1228778
  • Funding stream: Directorate for Computer & Information Science & Engineering | Division of Computer and Network Systems
49 references, page 1 of 4

Bodas-Salcedo, A., Webb, M. J., Brooks, M. E., Ringer, M. A., Williams, K. D., Milton, S. F., and Wilson, D. R.: Evaluating cloud systems in the Met Office global forecast model using simulated CloudSat radar reflectivities, J. Geophys. Res., 113, D00A13, https://doi.org/10.1029/2007JD009620, 2008.

Bodas-Salcedo, A., Webb, M. J., Bony, S., Chepfer, H., Dufresne, J.-L., Klein, S. A., Zhang, Y., Marchand, R., Haynes, J. M., Pincus, R., and John, V. O.: COSP: Satellite simulation software for model assessment, B. Am. Meteorol. Soc., 92, 1023-1043, https://doi.org/10.1175/2011BAMS2856.1, 2011. [OpenAIRE]

Bony, S. and Dufresne, J.-L.: Marine boundary layer clouds at the heart of tropical cloud feedback uncertainties in climate models, Geophys. Res. Lett., 32, L20806, https://doi.org/10.1029/2005GL023851, 2005. [OpenAIRE]

Cess, R., Zhang, M. H., Ingram, W. J., Potter, G. L., Alekseev, V., Barker, H. W., Cohen-Solal, E., Colman, R. A., Dazlich, D. A., Del Genio, A. D., Dix, M. R., Dymnikov, V., Esch, M., Fowler, L. D., Fraser, J. R., Galin, V., Gates, W. L., Hack, J. J., Kiehl, J. T., Le Treut, H., Lo, K. K.-W., McAvaney, B. J., Meleshko, V. P., Morcrette, J.-J., Randall, D. A., Roeckner, E., Royer, J.-F., Schlesinger, M. E., Sporyshev, P. V., Timbal, B., Volodin, E. M., Taylor, K. E., Wang, W., and Wetherald, R. T.: Cloud feedback in atmospheric general circulation models: An update, J. Geophys. Res.-Atmos., 101, 12791-12794, 1996. [OpenAIRE]

Cho, H. M., Yang, P., Kattawar, G. W., Nasiri, S. L., Hu, Y., Minnis, P., Trepte, C., and Winker, D.: Depolarization ratio and attenuated backscatter for nine cloud types: Analyses based on collocated CALIPSO lidar and MODIS measurements, Opt. Express, 16, 3931-3948, 2008. [OpenAIRE]

Cho, H. M., Zhang, Z., Meyer, K., Lebsock, M., Platnick, S., Ackerman, A. S., Di Girolano, L., C.-Labonnote, L., Cornet, C., Riedi, J., and Holz, R. E.: Frequency and causes of failed MODIS cloud property retrievals for liquid phase clouds over global oceans, J. Geophys. Res.-Atmos., 120, 2015JD023161, https://doi.org/10.1002/2015JD023161, 2015.

Comstock, K. K., Bretherton, C. S., and Yuter, S. E.: Mesoscale variability and drizzle in southeast Pacific stratocumulus, J. Atmos. Sci., 62, 3792-3807, https://doi.org/10.1175/JAS3567.1, 2005. [OpenAIRE]

Franklin, C. N., Sun, Z., Bi, D., Dix, M., Yan, H., and Bodas-Salcedo, A.: Evaluation of clouds in access using the satellite simulator package COSP: regime-sorted tropical cloud properties, J. Geophys. Res.-Atmos., 118, 6663-6679, https://doi.org/10.1002/jgrd.50496, 2013.

Grosvenor, D. P. and Wood, R.: The effect of solar zenith angle on MODIS cloud optical and microphysical retrievals within marine liquid water clouds, Atmos. Chem. Phys., 14, 7291-7321, https://doi.org/10.5194/acp-14-7291-2014, 2014. [OpenAIRE]

Haynes, J. M., Marchand, R. T., Luo, Z., Bodas-Salcedo, A., and Stephens, G. L.: A multi-purpose radar simulation package: QuickBeam, B. Am. Meteorol. Soc., 88, 1723-1727, 2007. [OpenAIRE]

Haynes, J. M., L'Ecuyer, T. S., Stephens, G. L., Miller, S. D., Mitrescu, C., Wood, N. B., and Tanelli, S.: Rainfall retrieval over the ocean with spaceborne W-band radar, J. Geophys. Res.- Atmos., 114, D00A22, https://doi.org/10.1029/2008JD009973, 2009.

Hillman, B. R., Marchand, R. T., and Ackerman, T. P.: Sensitivities of simulated satellite views of clouds to subgridscale overlap and condensate heterogeneity, J. Geophys. Res.- Atmos.,https://doi.org/10.1029/2017jd027680, accepted, 2018. [OpenAIRE]

Jing, X., Suzuki, K., Guo, H., Goto, D., Ogura, T., Koshiro, T., and Mülmenstädt, J.: A multimodel study on warm precipitation biases in global models compared to satellite observations, J. Geophys. Res.-Atmos., 122, 11806-11824, https://doi.org/10.1002/2017JD027310, 2017.

Kato, S. and Marshak, A.: Solar zenith and viewing geometry dependent errors in satellite retrieved cloud optical thickness: Marine Sccase, J. Geophys. Res.-Atmos., 114, D01202, https://doi.org/10.1029/2008JD010579, 2009. [OpenAIRE]

Kay, J. E., Hillman, B. R., Klein, S. A., Zhang, Y., Medeiros, B., Pincus, R., Gettelman, A., Eaton, B., Boyle, J., Marchand, R., and Ackerman, T. P.: Exposing global cloud biases in the community atmosphere model (CAM) using satellite observations and their corresponding instrument simulators, J. Climate, 25, 5190-5207, https://doi.org/10.1175/JCLI-D-11-00469.1, 2012.

49 references, page 1 of 4
Abstract
<jats:p>Abstract. Satellite cloud observations have become an indispensable tool for evaluating general circulation models (GCMs). To facilitate the satellite and GCM comparisons, the CFMIP (Cloud Feedback Model Inter-comparison Project) Observation Simulator Package (COSP) has been developed and is now increasingly used in GCM evaluations. Real-world clouds and precipitation can have significant sub-grid variations, which, however, are often ignored or oversimplified in the COSP simulation. In this study, we use COSP cloud simulations from the Super-Parameterized Community Atmosphere Model (SPCAM5) and satellite observations from the Moderate Resolution Imaging...
Subjects
free text keywords: Geology, QE1-996.5
Funded by
NSF| MRI: Acquisition of an Interdisciplinary Facility for High-Performance Computing
Project
  • Funder: National Science Foundation (NSF)
  • Project Code: 0821258
  • Funding stream: Directorate for Computer & Information Science & Engineering | Division of Computer and Network Systems
,
NSF| SCREMS: Parallel Computing for Interdisciplinary Research in Mathematics and Statistics
Project
  • Funder: National Science Foundation (NSF)
  • Project Code: 0821311
  • Funding stream: Directorate for Mathematical & Physical Sciences | Division of Mathematical Sciences
,
NSF| MRI: Acquisition of Hybrid CPU/GPU Nodes for the Interdisciplinary UMBC High Performance Computing Facility
Project
  • Funder: National Science Foundation (NSF)
  • Project Code: 1228778
  • Funding stream: Directorate for Computer & Information Science & Engineering | Division of Computer and Network Systems
49 references, page 1 of 4

Bodas-Salcedo, A., Webb, M. J., Brooks, M. E., Ringer, M. A., Williams, K. D., Milton, S. F., and Wilson, D. R.: Evaluating cloud systems in the Met Office global forecast model using simulated CloudSat radar reflectivities, J. Geophys. Res., 113, D00A13, https://doi.org/10.1029/2007JD009620, 2008.

Bodas-Salcedo, A., Webb, M. J., Bony, S., Chepfer, H., Dufresne, J.-L., Klein, S. A., Zhang, Y., Marchand, R., Haynes, J. M., Pincus, R., and John, V. O.: COSP: Satellite simulation software for model assessment, B. Am. Meteorol. Soc., 92, 1023-1043, https://doi.org/10.1175/2011BAMS2856.1, 2011. [OpenAIRE]

Bony, S. and Dufresne, J.-L.: Marine boundary layer clouds at the heart of tropical cloud feedback uncertainties in climate models, Geophys. Res. Lett., 32, L20806, https://doi.org/10.1029/2005GL023851, 2005. [OpenAIRE]

Cess, R., Zhang, M. H., Ingram, W. J., Potter, G. L., Alekseev, V., Barker, H. W., Cohen-Solal, E., Colman, R. A., Dazlich, D. A., Del Genio, A. D., Dix, M. R., Dymnikov, V., Esch, M., Fowler, L. D., Fraser, J. R., Galin, V., Gates, W. L., Hack, J. J., Kiehl, J. T., Le Treut, H., Lo, K. K.-W., McAvaney, B. J., Meleshko, V. P., Morcrette, J.-J., Randall, D. A., Roeckner, E., Royer, J.-F., Schlesinger, M. E., Sporyshev, P. V., Timbal, B., Volodin, E. M., Taylor, K. E., Wang, W., and Wetherald, R. T.: Cloud feedback in atmospheric general circulation models: An update, J. Geophys. Res.-Atmos., 101, 12791-12794, 1996. [OpenAIRE]

Cho, H. M., Yang, P., Kattawar, G. W., Nasiri, S. L., Hu, Y., Minnis, P., Trepte, C., and Winker, D.: Depolarization ratio and attenuated backscatter for nine cloud types: Analyses based on collocated CALIPSO lidar and MODIS measurements, Opt. Express, 16, 3931-3948, 2008. [OpenAIRE]

Cho, H. M., Zhang, Z., Meyer, K., Lebsock, M., Platnick, S., Ackerman, A. S., Di Girolano, L., C.-Labonnote, L., Cornet, C., Riedi, J., and Holz, R. E.: Frequency and causes of failed MODIS cloud property retrievals for liquid phase clouds over global oceans, J. Geophys. Res.-Atmos., 120, 2015JD023161, https://doi.org/10.1002/2015JD023161, 2015.

Comstock, K. K., Bretherton, C. S., and Yuter, S. E.: Mesoscale variability and drizzle in southeast Pacific stratocumulus, J. Atmos. Sci., 62, 3792-3807, https://doi.org/10.1175/JAS3567.1, 2005. [OpenAIRE]

Franklin, C. N., Sun, Z., Bi, D., Dix, M., Yan, H., and Bodas-Salcedo, A.: Evaluation of clouds in access using the satellite simulator package COSP: regime-sorted tropical cloud properties, J. Geophys. Res.-Atmos., 118, 6663-6679, https://doi.org/10.1002/jgrd.50496, 2013.

Grosvenor, D. P. and Wood, R.: The effect of solar zenith angle on MODIS cloud optical and microphysical retrievals within marine liquid water clouds, Atmos. Chem. Phys., 14, 7291-7321, https://doi.org/10.5194/acp-14-7291-2014, 2014. [OpenAIRE]

Haynes, J. M., Marchand, R. T., Luo, Z., Bodas-Salcedo, A., and Stephens, G. L.: A multi-purpose radar simulation package: QuickBeam, B. Am. Meteorol. Soc., 88, 1723-1727, 2007. [OpenAIRE]

Haynes, J. M., L'Ecuyer, T. S., Stephens, G. L., Miller, S. D., Mitrescu, C., Wood, N. B., and Tanelli, S.: Rainfall retrieval over the ocean with spaceborne W-band radar, J. Geophys. Res.- Atmos., 114, D00A22, https://doi.org/10.1029/2008JD009973, 2009.

Hillman, B. R., Marchand, R. T., and Ackerman, T. P.: Sensitivities of simulated satellite views of clouds to subgridscale overlap and condensate heterogeneity, J. Geophys. Res.- Atmos.,https://doi.org/10.1029/2017jd027680, accepted, 2018. [OpenAIRE]

Jing, X., Suzuki, K., Guo, H., Goto, D., Ogura, T., Koshiro, T., and Mülmenstädt, J.: A multimodel study on warm precipitation biases in global models compared to satellite observations, J. Geophys. Res.-Atmos., 122, 11806-11824, https://doi.org/10.1002/2017JD027310, 2017.

Kato, S. and Marshak, A.: Solar zenith and viewing geometry dependent errors in satellite retrieved cloud optical thickness: Marine Sccase, J. Geophys. Res.-Atmos., 114, D01202, https://doi.org/10.1029/2008JD010579, 2009. [OpenAIRE]

Kay, J. E., Hillman, B. R., Klein, S. A., Zhang, Y., Medeiros, B., Pincus, R., Gettelman, A., Eaton, B., Boyle, J., Marchand, R., and Ackerman, T. P.: Exposing global cloud biases in the community atmosphere model (CAM) using satellite observations and their corresponding instrument simulators, J. Climate, 25, 5190-5207, https://doi.org/10.1175/JCLI-D-11-00469.1, 2012.

49 references, page 1 of 4
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