Articles | Volume 10, issue 4
https://doi.org/10.5194/amt-10-1387-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-10-1387-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
12 Apr 2017
Research article |
| 12 Apr 2017
An intercalibrated dataset of total column water vapour and wet tropospheric correction based on MWR on board ERS-1, ERS-2, and Envisat
Ralf Bennartz
CORRESPONDING AUTHOR
Earth and Environmental Science Department, Vanderbilt University, Nashville, TN,
USA
Space Science and Engineering Center, University of Wisconsin–Madison,
USA
Heidrun Höschen
German Meteorological Service (DWD), Offenbach, Germany
Bruno Picard
Collecte Localisation Satellite (CLS), Toulouse, France
Marc Schröder
German Meteorological Service (DWD), Offenbach, Germany
Martin Stengel
German Meteorological Service (DWD), Offenbach, Germany
Oliver Sus
German Meteorological Service (DWD), Offenbach, Germany
Bojan Bojkov
European Space Agency (ESA-ESRIN), Frascati, Italy
now at: EUMETSAT, Darmstadt, Germany
Stefano Casadio
European Space Agency (ESA-ESRIN), Frascati, Italy
Hannes Diedrich
Institute for Space Sciences, Freie Universität Berlin, Germany
now at: Geoforschungszentrum (GFZ), Potsdam, Germany
Salomon Eliasson
Swedish Meteorological and Hydrological Institute (SMHI), Norrköping,
Sweden
Frank Fell
Informus GmbH, Berlin, Germany
Jürgen Fischer
Institute for Space Sciences, Freie Universität Berlin, Germany
Rainer Hollmann
German Meteorological Service (DWD), Offenbach, Germany
Rene Preusker
Institute for Space Sciences, Freie Universität Berlin, Germany
Ulrika Willén
Swedish Meteorological and Hydrological Institute (SMHI), Norrköping,
Sweden
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Heather Guy, Ian M. Brooks, Ken S. Carslaw, Benjamin J. Murray, Von P. Walden, Matthew D. Shupe, Claire Pettersen, David D. Turner, Christopher J. Cox, William D. Neff, Ralf Bennartz, and Ryan R. Neely III
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Water vapor (WV) is an important variable in the climate system. Satellite measurements are thus crucial to characterize the spatial and temporal variability in WV and how it changed over time. In particular with respect to the observed strong Arctic warming, the role of WV still needs to be better understood. However, as shown in this paper, a detailed understanding is still hampered by large uncertainties in the various satellite WV products, showing the need for improved methods to derive WV.
Sandra Vázquez-Martín, Thomas Kuhn, and Salomon Eliasson
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In this work, we present new fall speed measurements of natural snow particles and ice crystals. We study the particle fall speed relationships and how they depend on particle shape. We analyze these relationships as a function of particle size, cross-sectional area, and area ratio for different particle shape groups. We also investigate the dependence of the particle fall speed on the orientation, as it has a large impact on the cross-sectional area.
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Short summary
The microwave radiometers (MWR) on board ERS-1, ERS-2, and Envisat provide a continuous time series of brightness temperature observations between 1991 and 2012. Here we report on a new total column water vapour (TCWV) and wet tropospheric correction (WTC) dataset that builds on this time series. The dataset is publicly available under doi:10.5676/DWD_EMIR/V001.
The microwave radiometers (MWR) on board ERS-1, ERS-2, and Envisat provide a continuous time...
