Observations for Model Intercomparison Project (Obs4MIPs): status for CMIP6
<p>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 Resear...
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Copernicus Publications
2020-07-01
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Series: | Geoscientific Model Development |
Online Access: | https://gmd.copernicus.org/articles/13/2945/2020/gmd-13-2945-2020.pdf |
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Article |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
D. Waliser P. J. Gleckler R. Ferraro K. E. Taylor S. Ames J. Biard M. G. Bosilovich O. Brown H. Chepfer L. Cinquini L. Cinquini P. J. Durack V. Eyring V. Eyring P.-P. Mathieu T. Lee S. Pinnock G. L. Potter M. Rixen R. Saunders J. Schulz J.-N. Thépaut M. Tuma |
spellingShingle |
D. Waliser P. J. Gleckler R. Ferraro K. E. Taylor S. Ames J. Biard M. G. Bosilovich O. Brown H. Chepfer L. Cinquini L. Cinquini P. J. Durack V. Eyring V. Eyring P.-P. Mathieu T. Lee S. Pinnock G. L. Potter M. Rixen R. Saunders J. Schulz J.-N. Thépaut M. Tuma Observations for Model Intercomparison Project (Obs4MIPs): status for CMIP6 Geoscientific Model Development |
author_facet |
D. Waliser P. J. Gleckler R. Ferraro K. E. Taylor S. Ames J. Biard M. G. Bosilovich O. Brown H. Chepfer L. Cinquini L. Cinquini P. J. Durack V. Eyring V. Eyring P.-P. Mathieu T. Lee S. Pinnock G. L. Potter M. Rixen R. Saunders J. Schulz J.-N. Thépaut M. Tuma |
author_sort |
D. Waliser |
title |
Observations for Model Intercomparison Project (Obs4MIPs): status for CMIP6 |
title_short |
Observations for Model Intercomparison Project (Obs4MIPs): status for CMIP6 |
title_full |
Observations for Model Intercomparison Project (Obs4MIPs): status for CMIP6 |
title_fullStr |
Observations for Model Intercomparison Project (Obs4MIPs): status for CMIP6 |
title_full_unstemmed |
Observations for Model Intercomparison Project (Obs4MIPs): status for CMIP6 |
title_sort |
observations for model intercomparison project (obs4mips): status for cmip6 |
publisher |
Copernicus Publications |
series |
Geoscientific Model Development |
issn |
1991-959X 1991-9603 |
publishDate |
2020-07-01 |
description |
<p>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.</p>
<p><span id="page2946"/>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 (<span class="inline-formula">O<sub>3</sub></span>), methane (<span class="inline-formula">CH<sub>4</sub></span>), and carbon
dioxide (<span class="inline-formula">CO<sub>2</sub></span>) 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 (<span class="inline-formula">NO<sub>2</sub></span>). 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.</p>
<p>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.</p> |
url |
https://gmd.copernicus.org/articles/13/2945/2020/gmd-13-2945-2020.pdf |
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doaj-7fb15f91fefc4b12b1fdab1032bf57522020-11-25T03:49:21ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032020-07-01132945295810.5194/gmd-13-2945-2020Observations for Model Intercomparison Project (Obs4MIPs): status for CMIP6D. Waliser0P. J. Gleckler1R. Ferraro2K. E. Taylor3S. Ames4J. Biard5M. G. Bosilovich6O. Brown7H. Chepfer8L. Cinquini9L. Cinquini10P. J. Durack11V. Eyring12V. Eyring13P.-P. Mathieu14T. Lee15S. Pinnock16G. L. Potter17M. Rixen18R. Saunders19J. Schulz20J.-N. Thépaut21M. Tuma22Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USAProgram for Climate Model Diagnostics and Intercomparison, Lawrence Livermore National Laboratory, Livermore, California, USAJet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USAProgram for Climate Model Diagnostics and Intercomparison, Lawrence Livermore National Laboratory, Livermore, California, USALawrence Livermore National Laboratory, Livermore, California, USANorth Carolina Institute for Climate Studies, North Carolina State University, Asheville, North Carolina, USAGoddard Space Flight Center, National Aeronautics and Space Administration, Greenbelt, Maryland, USANorth Carolina Institute for Climate Studies, North Carolina State University, Asheville, North Carolina, USALaboratoire de Météorologie Dynamique/Institut Pierre Simon Laplace, Université Pierre et Marie Curie, Paris, FranceJet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USAEarth System Research Laboratory, National Ocean and Atmospheric Administration, Boulder, Colorado, USAProgram for Climate Model Diagnostics and Intercomparison, Lawrence Livermore National Laboratory, Livermore, California, USADeutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, GermanyInstitute of Environmental Physics (IUP), University of Bremen, Bremen, GermanyClimate Office, European Space Agency, Harwell, UKEarth Science Division, National Aeronautics and Space Administration, Washington, DC, USAClimate Office, European Space Agency, Harwell, UKGoddard Space Flight Center, National Aeronautics and Space Administration, Greenbelt, Maryland, USAWorld Climate Research Programme, World Meteorological Organization, Geneva, SwitzerlandMet Office, Exeter, UKEuropean Organisation for the Exploitation of Meteorological Satellites (EUMETSAT), Darmstadt, GermanyEuropean Centre for Medium-Range Weather Forecasts, Reading, UKWorld Climate Research Programme, World Meteorological Organization, Geneva, Switzerland<p>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.</p> <p><span id="page2946"/>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 (<span class="inline-formula">O<sub>3</sub></span>), methane (<span class="inline-formula">CH<sub>4</sub></span>), and carbon dioxide (<span class="inline-formula">CO<sub>2</sub></span>) 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 (<span class="inline-formula">NO<sub>2</sub></span>). 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.</p> <p>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.</p>https://gmd.copernicus.org/articles/13/2945/2020/gmd-13-2945-2020.pdf |