A Standardized Atmospheric Measurement Data Archive for Distributed Cloud and Precipitation Process-Oriented Observations in Central Europe

Andrea Lammert German Climate Computing Center, Hamburg, Germany

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Akio Hansen Meteorological Institute, University Hamburg, Hamburg, Germany

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Felix Ament Meteorological Institute, University Hamburg, Hamburg, Germany

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Susanne Crewell Institute for Geophysics and Meteorology, University of Cologne, Cologne, Germany

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Galina Dick Helmholtz Centre Potsdam–GFZ German Research Centre for Geosciences, Potsdam, Germany

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Verena Grützun Meteorological Institute, University Hamburg, Hamburg, Germany

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Henk Klein-Baltink Royal Netherlands Meteorological Institute (KNMI), De Bilt, Netherlands

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Volker Lehmann Meteorologisches Observatorium Lindenberg/Richard-Aßmann-Observatorium, Deutscher Wetterdienst, Lindenberg, Germany

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Andreas Macke Leibniz Institute for Tropospheric Research, Leipzig, Germany

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Bernhard Pospichal Institute for Geophysics and Meteorology, University of Cologne, Cologne, Germany

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Wiebke Schubotz Max Planck Institute for Meteorology, Hamburg, Germany

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Patric Seifert Leibniz Institute for Tropospheric Research, Leipzig, Germany

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Erasmia Stamnas Regional Computing Center, University of Cologne, Cologne, Germany

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Bjorn Stevens Max Planck Institute for Meteorology, Hamburg, Germany

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Abstract

Central Europe has a vital and extensive meteorological research community comprising national weather services, universities, and research organizations and institutes. Nearly all of them are involved in the open scientific questions regarding clouds and precipitation processes. The research activities include observations (from in situ ground-based remote sensing radio soundings to satellite-based observations), model development on all scales (from direct numerical simulations to global climate models), and other activities. With Germany as an example our first objective is to show the large amount and the diversity of observations regarding clouds and precipitation. The goal is to give an overview of existing measurements and datasets to show the benefit of combining the different information from a variety of observations. Up to now the access to and the usage of these datasets from different sources was not straightforward, due to the issue of missing data and archiving standards for observational data. This then motivates our second objective, which is to introduce our solution for this issue—the novel Standardized Atmospheric Measurement Data archive (SAMD). SAMD is one of the outcomes of the German research initiative High Definition Clouds and Precipitation for Advancing Climate Prediction [HD(CP)2]. The goal of SAMD is an easy-to-use approach for both data producers and archive users. Therefore the archive provides observational data in the common Climate Forecast (CF) Conventions format and makes it available to the broader public. SAMD offers highly standardized quality-controlled data and metadata for a wide range of instruments, with open access, which makes this novel archive important for the research community.

© 2019 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Deceased.

CORRESPONDING AUTHOR: Andrea Lammert, lammert@dkrz.de

Abstract

Central Europe has a vital and extensive meteorological research community comprising national weather services, universities, and research organizations and institutes. Nearly all of them are involved in the open scientific questions regarding clouds and precipitation processes. The research activities include observations (from in situ ground-based remote sensing radio soundings to satellite-based observations), model development on all scales (from direct numerical simulations to global climate models), and other activities. With Germany as an example our first objective is to show the large amount and the diversity of observations regarding clouds and precipitation. The goal is to give an overview of existing measurements and datasets to show the benefit of combining the different information from a variety of observations. Up to now the access to and the usage of these datasets from different sources was not straightforward, due to the issue of missing data and archiving standards for observational data. This then motivates our second objective, which is to introduce our solution for this issue—the novel Standardized Atmospheric Measurement Data archive (SAMD). SAMD is one of the outcomes of the German research initiative High Definition Clouds and Precipitation for Advancing Climate Prediction [HD(CP)2]. The goal of SAMD is an easy-to-use approach for both data producers and archive users. Therefore the archive provides observational data in the common Climate Forecast (CF) Conventions format and makes it available to the broader public. SAMD offers highly standardized quality-controlled data and metadata for a wide range of instruments, with open access, which makes this novel archive important for the research community.

© 2019 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Deceased.

CORRESPONDING AUTHOR: Andrea Lammert, lammert@dkrz.de
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