A simulator for the CLARA-A2 cloud climate data record and its application to assess EC-Earth polar cloudiness.
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This paper describes a new satellite simulator for the CLARA-A2 climate data record (CDR). This simulator takes into account the variable skill in cloud detection in the CLARA-A2 CDR by using a different approach to other similar satellite simulators to emulate the ability to detect clouds. In particular, the paper describes three methods to filter out clouds from climate models undetectable by observations. The first method is comparable to the current simulators in the Cloud Feedback Model Intercomparison Project (CFMIP) Observation Simulator Package (COSP), since it relies on a single visible cloud optical depth at 550 nm (tau(c)) threshold applied globally to delineate cloudy and cloud-free conditions. Methods two and three apply long/lat-gridded values separated by daytime and nighttime conditions. Method two uses gridded varying tc as opposed to method one, which uses just a tau(c) threshold, and method three uses a cloud probability of detection (POD) depending on the model tau(.....
JournalGeoscientific Model Development
Sustainable Development Goals (SDG)14.a
Maturity LevelPilot or Demonstrated
Spatial CoveragePolar Regions
CitationEliasson, S., Karlsson, K.-G. and Willén, U. (2020) A simulator for the CLARA-A2 cloud climate data record and its application to assess EC-Earth polar cloudiness. Geoscientific Model Development, 13:297, pp.297–314. DOI: https://doi.org/10.5194/gmd-13-297-2020
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