publication . Article . Other literature type . 2018

The Cloud Feedback Model Intercomparison Project Observational Simulator Package: Version 2

Swales, Dustin J.; Pincus, Robert; Bodas-Salcedo, Alejandro;
Open Access
  • Published: 09 Jan 2018 Journal: Geoscientific Model Development, volume 11, pages 77-81 (eissn: 1991-9603, Copyright policy)
  • Publisher: Copernicus GmbH
Abstract
<jats:p>Abstract. The Cloud Feedback Model Intercomparison Project Observational Simulator Package (COSP) gathers together a collection of observation proxies or “satellite simulators” that translate model-simulated cloud properties to synthetic observations as would be obtained by a range of satellite observing systems. This paper introduces COSP2, an evolution focusing on more explicit and consistent separation between host model, coupling infrastructure, and individual observing proxies. Revisions also enhance flexibility by allowing for model-specific representation of sub-grid-scale cloudiness, provide greater clarity by clearly separating tasks, support gr...
Subjects
free text keywords: Geology, QE1-996.5
Related Organizations
Funded by
EC| IS-ENES2
Project
IS-ENES2
Infrastructure for the European Network for Earth System modelling - Phase 2
  • Funder: European Commission (EC)
  • Project Code: 312979
  • Funding stream: FP7 | SP4 | INFRA
19 references, page 1 of 2

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

Chepfer, H., Bony, S., Winker, D., Chiriaco, M., Dufresne, J.-L., and Seze, G.: Use of CALIPSO lidar observations to evaluate the cloudiness simulated by a climate model, Geophys. Res. Lett., 35, L15704, https://doi.org/10.1029/2008GL034207, 2008. [OpenAIRE]

Chepfer, H., Noel, V., Winker, D., and Chiriaco, M.: Where and when will we observe cloud changes due to climate warming?, Geophys. Res. Lett., 41, 8387-8395, https://doi.org/10.1002/2014GL061792, 2014. [OpenAIRE]

Eyring, V., Bony, S., Meehl, G. A., Senior, C. A., Stevens, B., Stouffer, R. J., and Taylor, K. E.: Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization, Geosci. Model Dev., 9, 1937-1958, https://doi.org/10.5194/gmd-9-1937-2016, 2016. [OpenAIRE]

Haynes, J. M., Marchand, R., Luo, Z., Bodas-Salcedo, A., and Stephens, G. L.: A multipurpose radar simulation package: QuickBeam, B. Am. Meteorol. Soc., 88, 1723-1727, https://doi.org/10.1175/BAMS-88-11-1723, 2007.

Kay, J. E., Hillman, B. R., Klein, S. A., Zhang, Y., Medeiros, B. P., 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.

Klein, S. A. and Jakob, C.: Validation and sensitivities of frontal clouds simulated by the ECMWF model, Mon. Weather Rev., 127, 2514-2531, https://doi.org/10.1175/1520- 0493(1999)127<2514:VASOFC>2.0.CO;2, 1999.

Klein, S. A., Zhang, Y., Zelinka, M. D., Pincus, R., Boyle, J., and Gleckler, P. J.: Are climate model simulations of clouds improving? An evaluation using the ISCCP simulator, J. Geophys. Res., 118, 1329-1342, https://doi.org/10.1002/jgrd.50141, 2013.

Marchand, R. and Ackerman, T. P.: An analysis of cloud cover in Multiscale Modeling Framework Global Climate Model Simulations using 4 and 1 km horizontal grids, J. Geophys. Res., 115, D16207, https://doi.org/10.1029/2009JD013423, 2010.

Nam, C. C. W. and Quaas, J.: Evaluation of clouds and precipitation in the ECHAM5 general circulation model using CALIPSO and CloudSat satellite data, J. Climate, 25, 4975- 4992, https://doi.org/10.1175/JCLI-D-11-00347.1, 2012.

Nam, C., Bony, S., Dufresne, J.-L., and Chepfer, H.: The “too few, too bright” tropical low-cloud problem in CMIP5 models, Geophys. Res. Lett., 39, L21801, https://doi.org/10.1029/2012GL053421, 2012. [OpenAIRE]

Pincus, R., Barker, H. W., and Morcrette, J.-J.: A fast, flexible, approximate technique for computing radiative transfer in inhomogeneous cloud fields, J. Geophys. Res., 108, 4376, https://doi.org/10.1029/2002JD003322, 2003.

Pincus, R., Platnick, S., Ackerman, S. A., Hemler, R. S., and Hofmann, R. J. P.: Reconciling simulated and observed views of clouds: MODIS, ISCCP, and the limits of instrument simulators, J. Climate, 25, 4699-4720, https://doi.org/10.1175/JCLI-D-11- 00267.1, 2012.

Suzuki, K., Golaz, J.-C., and Stephens, G. L.: Evaluating cloud tuning in a climate model with satellite observations, Geophys. Res. Lett., 40, 4464-4468, https://doi.org/10.1002/grl.50874, 2013.

Taylor, K. E., Stouffer, R. J., and Meehl, G. A.: An overview of CMIP5 and the experiment design, B. Am. Meteorol. Soc., 93, 485-498, https://doi.org/10.1175/BAMS-D-11-00094.1, 2012.

19 references, page 1 of 2
Abstract
<jats:p>Abstract. The Cloud Feedback Model Intercomparison Project Observational Simulator Package (COSP) gathers together a collection of observation proxies or “satellite simulators” that translate model-simulated cloud properties to synthetic observations as would be obtained by a range of satellite observing systems. This paper introduces COSP2, an evolution focusing on more explicit and consistent separation between host model, coupling infrastructure, and individual observing proxies. Revisions also enhance flexibility by allowing for model-specific representation of sub-grid-scale cloudiness, provide greater clarity by clearly separating tasks, support gr...
Subjects
free text keywords: Geology, QE1-996.5
Related Organizations
Funded by
EC| IS-ENES2
Project
IS-ENES2
Infrastructure for the European Network for Earth System modelling - Phase 2
  • Funder: European Commission (EC)
  • Project Code: 312979
  • Funding stream: FP7 | SP4 | INFRA
19 references, page 1 of 2

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

Chepfer, H., Bony, S., Winker, D., Chiriaco, M., Dufresne, J.-L., and Seze, G.: Use of CALIPSO lidar observations to evaluate the cloudiness simulated by a climate model, Geophys. Res. Lett., 35, L15704, https://doi.org/10.1029/2008GL034207, 2008. [OpenAIRE]

Chepfer, H., Noel, V., Winker, D., and Chiriaco, M.: Where and when will we observe cloud changes due to climate warming?, Geophys. Res. Lett., 41, 8387-8395, https://doi.org/10.1002/2014GL061792, 2014. [OpenAIRE]

Eyring, V., Bony, S., Meehl, G. A., Senior, C. A., Stevens, B., Stouffer, R. J., and Taylor, K. E.: Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization, Geosci. Model Dev., 9, 1937-1958, https://doi.org/10.5194/gmd-9-1937-2016, 2016. [OpenAIRE]

Haynes, J. M., Marchand, R., Luo, Z., Bodas-Salcedo, A., and Stephens, G. L.: A multipurpose radar simulation package: QuickBeam, B. Am. Meteorol. Soc., 88, 1723-1727, https://doi.org/10.1175/BAMS-88-11-1723, 2007.

Kay, J. E., Hillman, B. R., Klein, S. A., Zhang, Y., Medeiros, B. P., 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.

Klein, S. A. and Jakob, C.: Validation and sensitivities of frontal clouds simulated by the ECMWF model, Mon. Weather Rev., 127, 2514-2531, https://doi.org/10.1175/1520- 0493(1999)127<2514:VASOFC>2.0.CO;2, 1999.

Klein, S. A., Zhang, Y., Zelinka, M. D., Pincus, R., Boyle, J., and Gleckler, P. J.: Are climate model simulations of clouds improving? An evaluation using the ISCCP simulator, J. Geophys. Res., 118, 1329-1342, https://doi.org/10.1002/jgrd.50141, 2013.

Marchand, R. and Ackerman, T. P.: An analysis of cloud cover in Multiscale Modeling Framework Global Climate Model Simulations using 4 and 1 km horizontal grids, J. Geophys. Res., 115, D16207, https://doi.org/10.1029/2009JD013423, 2010.

Nam, C. C. W. and Quaas, J.: Evaluation of clouds and precipitation in the ECHAM5 general circulation model using CALIPSO and CloudSat satellite data, J. Climate, 25, 4975- 4992, https://doi.org/10.1175/JCLI-D-11-00347.1, 2012.

Nam, C., Bony, S., Dufresne, J.-L., and Chepfer, H.: The “too few, too bright” tropical low-cloud problem in CMIP5 models, Geophys. Res. Lett., 39, L21801, https://doi.org/10.1029/2012GL053421, 2012. [OpenAIRE]

Pincus, R., Barker, H. W., and Morcrette, J.-J.: A fast, flexible, approximate technique for computing radiative transfer in inhomogeneous cloud fields, J. Geophys. Res., 108, 4376, https://doi.org/10.1029/2002JD003322, 2003.

Pincus, R., Platnick, S., Ackerman, S. A., Hemler, R. S., and Hofmann, R. J. P.: Reconciling simulated and observed views of clouds: MODIS, ISCCP, and the limits of instrument simulators, J. Climate, 25, 4699-4720, https://doi.org/10.1175/JCLI-D-11- 00267.1, 2012.

Suzuki, K., Golaz, J.-C., and Stephens, G. L.: Evaluating cloud tuning in a climate model with satellite observations, Geophys. Res. Lett., 40, 4464-4468, https://doi.org/10.1002/grl.50874, 2013.

Taylor, K. E., Stouffer, R. J., and Meehl, G. A.: An overview of CMIP5 and the experiment design, B. Am. Meteorol. Soc., 93, 485-498, https://doi.org/10.1175/BAMS-D-11-00094.1, 2012.

19 references, page 1 of 2
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