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    Benchmarking CMIP5 models with a subset of ESA CCI Phase 2 data using the ESMValTool

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    Lauer(2017a).pdf (24.59Mb)
    Authors
    Lauer, A.
    Eyring, V.
    Righi, M.
    Buchwitz, M.
    Defourny, P.
    Evaldsson, M.
    Friedlingstein, P.
    de Jeu, R.
    de Leeuw, G.
    Loew, A.
    Merchant, C.J.
    Müller, B.
    Popp, T.
    Reuter, M.
    Sandven, S.
    Senftleben, D.
    Stengel, M.
    Van Roozendael, M.
    Wenzel, S.
    Willén, U.
    Show allShow less
    Discipline
    Physical sciences
    Subject
    Aerosols
    Atmospheric temperature
    Climate change
    Clouds
    Computer software
    Earth (planet)
    Greenhouse gases
    Moisture
    Oceanography
    Open source software
    Open systems
    Ozone
    Sea ice
    Software engineering
    Soil moisture
    Submarine geophysics
    Surface properties
    Surface waters
    Uncertainty analysis
    Climate
    CMIP
    Earth system model
    ESA CCI
    ESMValTool
    Land cover
    Model evaluation
    Sea surface temperature (SST)
    Climate models
    aerosol
    benchmarking
    carbon dioxide
    climate modeling
    cloud
    CMIP
    data set
    greenhouse gas
    instrumentation
    land cover
    long-term change
    model validation
    ozone
    performance assessment
    satellite altimetry
    satellite data
    sea surface temperature
    software
    soil moisture
    Audience
    Scientific
    Date
    2017
    Metadata
    Show full item record
    Description
    The Coupled Model Intercomparison Project (CMIP) is now moving into its sixth phase and aims at a more routine evaluation of the models as soon as the model output is published to the Earth System Grid Federation (ESGF). To meet this goal the Earth System Model Evaluation Tool (ESMValTool), a community diagnostics and performance metrics tool for the systematic evaluation of Earth system models (ESMs) in CMIP, has been developed and a first version (1.0) released as open source software in 2015. Here, an enhanced version of the ESMValTool is presented that exploits a subset of Essential Climate Variables (ECVs) from the European Space Agency's Climate Change Initiative (ESA CCI) Phase 2 and this version is used to demonstrate the value of the data for model evaluation. This subset includes consistent, long-term time series of ECVs obtained from harmonized, reprocessed products from different satellite instruments for sea surface temperature, sea ice, cloud, soil moisture, land cover, aerosol, ozone, and greenhouse gases. The ESA CCI data allow extending the calculation of performance metrics as summary statistics for some variables and add an important alternative data set in other cases where observations are already available. The provision of uncertainty estimates on a per grid basis for the ESA CCI data sets is used in a new extended version of the Taylor diagram and provides important additional information for a more objective evaluation of the models. In our analysis we place a specific focus on the comparability of model and satellite data both in time and space. The ESA CCI data are well suited for an evaluation of results from global climate models across ESM compartments as well as an analysis of long-term trends, variability and change in the context of a changing climate. The enhanced version of the ESMValTool is released as open source software and ready to support routine model evaluation in CMIP6 and at individual modeling centers.
    Citation
    Lauer, A.; Eyring, V.; Righi, M.; Buchwitz, M.; Defourny, P.; Evaldsson, M.; Friedlingstein, P.; de Jeu, R.; de Leeuw, G.; Loew, A.; Merchant, C.J.; Müller, B.; Popp, T.; Reuter, M.; Sandven, S.; Senftleben, D.; Stengel, M.; Van Roozendael, M.; Wenzel, S.; Willén, U. (2017). Benchmarking CMIP5 models with a subset of ESA CCI Phase 2 data using the ESMValTool. , Remote Sensing of Environment, Vol. 203, 9-39, DOI: 10.1016/j.rse.2017.01.007.
    Identifiers
    uri: https://orfeo.belnet.be/handle/internal/6352
    doi: http://dx.doi.org/10.1016/j.rse.2017.01.007
    scopus: 2-s2.0-85009801618
    Type
    Article
    Peer-Review
    Yes
    Language
    eng
    Links
    NewsHelpdeskBELSPO OA Policy

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