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Cloud Assessments for Atmospheric Impact Evaluation

Explore global cloud cover data, assess retrieval issues, and provide insights on atmospheric impacts for climate modeling. Find recommendations and analysis for improved data utilization.

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Cloud Assessments for Atmospheric Impact Evaluation

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  1. clouds assessments GEWEX Stubenrauch CREW Roebling

  2. GEWEX, global & level 3 • available level 3 monthly cloud products • global, 1x1 degree lat/lon data • multi-annual temporal coverage • netcdf / CF convention • inter-compare & document & evaluate • cloud cover … stratified by altitude • cover in the context of other cloud products (opt. depth, cloud m-physics and cloud water) • provide recommendation on data-use

  3. CREW - local, level 2 CREW (Cloud Retrieval Evaluation Workshops) • analysis for selected ‘golden days’ • complementary to GEWEX assessment, by offering explanations for discrepancies • explore retrieval issues (e.g. cloud detection) • explore averaging issues (e.g. level 2  level 3) • provide insights on links to other atmospheric properties (also with geo-stationary data) • support process underst. in climate modeling

  4. clouds • much more than cloud cover • … so that associated impacts on the atmospheric radiative fluxes can be determined and compared cloud cover cloud top press cloud top temp water path effective radius optical depth

  5. participating data-sets all properties, mature ISCCP 1984-2007 (Rossow et al.) TOVS Path-B 1987-1994 (Stubenrauch et al.) AIRS-LMD2003-2009(Stubenrauch et al.) MODIS-ScienceTeam2001/3-2009(Ackerman / Platnick et al.)MODIS-CERES 2001/3-2006(Minnis et al.) all prop, less mature PATMOS-x (AVHRR) 1982-2009 (Heidinger et al.) ATSR-GRAPE 1999/03-09 (Poulsen et al.) only cover & top-p/T HIRS-NOAA 1982-2008 (Wylie et al., Menzel et al.) CALIPSO-ScienceTeam2007-2008(Winker et al.) CALIPSO-GOCCP 2007-2008(Chepfer et al.) CLOUDSAT-geoprof 2007-2009 (Mace et al.) complementary MISR2001-2007 (DiGirolamo et al.) POLDER(O2 & Rayl.)2006-2008(Riedi et al.)

  6. what have we learned ? (1) • centralization (person and web-location) • a committed (and respected) leader • a central data-depot • a standard input (global modeling ‘likes’ netcdf / CF) • regular meetings keep momentum • focus on getting issues solved & reprocessing request • develop personal friendships by common interests • establish working groups • conduct experiments on common sub-topics • relieve pressure on ‘leader’ (incl. publications)

  7. what have we learned ? (2) • delays without support for leadership … thus • $$$ support for central setup (more $$ at beginning) • web/site & collection & portal setup / maintenance • help on individual data preparation • tools for data comparisons • preparation / $$$ for regular meeting • regular newsletters • Preparation of reference data • $$ support for subtask organization • $$ support for bringing experts to once user community sees value there will be additional $

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