Observations for Model Intercomparison Project (Obs4MIPs): status for CMIP6

Journal Article · Tue Jul 07 00:00:00 EDT 2020 · Geoscientific Model Development (Online)

DOI:https://doi.org/10.5194/gmd-13-2945-2020· OSTI ID:1755817

Waliser, Duane ^[1]; Gleckler, Peter J. ^[2]; Ferraro, Robert  ^[1]; Taylor, Karl E.  ^[2]; Ames, Sasha  ^[2]; Biard, James  ^[3]; Bosilovich, Michael G.  ^[4]; Brown, Otis  ^[3]; Chepfer, Helene ^[5]; Cinquini, Luca ^[6]; Durack, Paul J.  ^[2]; Eyring, Veronika  ^[7]; Mathieu, Pierre-Philippe ^[8]; Lee, Tsengdar ^[9]; Pinnock, Simon ^[8]; Potter, Gerald L. ^[4]; Rixen, Michel  ^[10]; Saunders, Roger ^[11]; Schulz, Jörg ^[12]; Thépaut, Jean-Noël ^[13] ; Tuma, Matthias ^[10]

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1. California Inst. of Technology (CalTech), Pasadena, CA (United States)
2. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
3. North Carolina State Univ., Raleigh, NC (United States)
4. NASA Goddard Space Flight Center (GSFC), Greenbelt, MD (United States)
5. Univ. Pierre et Marie Curie, Paris (France)
6. California Inst. of Technology (CalTech), Pasadena, CA (United States); National Oceanic and Atmospheric Administration (NOAA), Boulder, CO (United States)
7. Deutsches Zentrum für Luft- und Raumfahrt, Oberpfaffenhofen (Germany); Univ. of Bremen (Germany)
8. European Space Agency, Harwell (United Kingdom)
9. National Aeronautics and Space Administration (NASA), Washington, DC (United States)
10. World Meteorological Organization, Geneva (Switzerland)
11. Met Office, Exeter (United Kingdom)
12. European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT), Darmstadt (Germany)
13. European Centre for Medium-Range Weather Forecasts, Reading (United Kingdom)

The Observations for Model Intercomparison Project (Obs4MIPs) was initiated in 2010 to facilitate the use of observations in climate model evaluation and research, with a particular target being the Coupled Model Intercomparison Project (CMIP), a major initiative of the World Climate Research Programme (WCRP). To this end, Obs4MIPs (1) targets observed variables that can be compared to CMIP model variables; (2) utilizes dataset formatting specifications and metadata requirements closely aligned with CMIP model output; (3) provides brief technical documentation for each dataset, designed for nonexperts and tailored towards relevance for model evaluation, including information on uncertainty, dataset merits, and limitations; and (4) disseminates the data through the Earth System Grid Federation (ESGF) platforms, making the observations searchable and accessible via the same portals as the model output. Taken together, these characteristics of the organization and structure of obs4MIPs should entice a more diverse community of researchers to engage in the comparison of model output with observations and to contribute to a more comprehensive evaluation of the climate models. At present, the number of obs4MIPs datasets has grown to about 80; many are undergoing updates, with another 20 or so in preparation, and more than 100 are proposed and under consideration. A partial list of current global satellite-based datasets includes humidity and temperature profiles; a wide range of cloud and aerosol observations; ocean surface wind, temperature, height, and sea ice fraction; surface and top-of-atmosphere longwave and shortwave radiation; and ozone (O₃), methane (CH₄), and carbon dioxide (CO₂) products. A partial list of proposed products expected to be useful in analyzing CMIP6 results includes the following: alternative products for the above quantities, additional products for ocean surface flux and chlorophyll products, a number of vegetation products (e.g., FAPAR, LAI, burned area fraction), ice sheet mass and height, carbon monoxide (CO), and nitrogen dioxide (NO₂). While most existing obs4MIPs datasets consist of monthly-mean gridded data over the global domain, products with higher time resolution (e.g., daily) and/or regional products are now receiving more attention. Along with an increasing number of datasets, obs4MIPs has implemented a number of capability upgrades including (1) an updated obs4MIPs data specifications document that provides additional search facets and generally improves congruence with CMIP6 specifications for model datasets, (2) a set of six easily understood indicators that help guide users as to a dataset's maturity and suitability for application, and (3) an option to supply supplemental information about a dataset beyond what can be found in the standard metadata. With the maturation of the obs4MIPs framework, the dataset inclusion process, and the dataset formatting guidelines and resources, the scope of the observations being considered is expected to grow to include gridded in situ datasets as well as datasets with a regional focus, and the ultimate intent is to judiciously expand this scope to any observation dataset that has applicability for evaluation of the types of Earth system models used in CMIP.

• Research Organization: Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
• Sponsoring Organization: USDOE National Nuclear Security Administration (NNSA); National Aeronautics and Space Administration (NASA); USDOE Office of Science (SC); National Oceanic and Atmospheric Administration (NOAA); Cooperative Institute for Climate and Satellites
• Grant/Contract Number: AC52-07NA27344; NA14NES432003
• OSTI ID: 1755817
• Report Number(s): LLNL-JRNL-795464; 996647
• Journal Information: Geoscientific Model Development (Online), Vol. 13, Issue 7; ISSN 1991-9603
• Publisher: European Geosciences Union
• Country of Publication: United States
• Language: English

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54 ENVIRONMENTAL SCIENCES