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Validating precipitation forecasts using remote sensor synergy: A case study approach

Pfeifer, Monika and Yen, Wenchie and Baldauf, Michael and Craig, George and Crewell, Susanne and Fischer, Jürgen and Hagen, Martin and Hühnerbein, Anja and Mech, Mario and Reinhardt, Thorsten and Schröder, Marc and Seifert, Axel (2010) Validating precipitation forecasts using remote sensor synergy: A case study approach. Meteorologische Zeitschrift, 19 (6), pp. 601-617. Borntraeger Science Publishers. DOI: 10.1127/0941-2948/2010/0487

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Several types of remote sensing data are applied synergistically to evaluate the chain of microphysical processes leading to precipitation in a high-resolution numerical weather prediction model. The data provides information relating to (i) cloud-top temperature and optical depth (SEVERI), (ii) ice cloud amount (AMSUB), (iii) type and amount of precipitation particles (polarimetric radar), and (iv) surface precipitation (raingauge-calibrated radar data). Forecasts are produced by the COSMO-DE model of the German weather service, with a horizontal resolution of 2.8 km. The comparison with data is done in a model-to-observation framework, that is, forward operators are applied to the model output to produce synthetic data sets that can be directly compared to the observations. Additional diagnostics based on diurnal cycle and system tracking are also considered. Two case studies over Germany from the summer of 2006 are examined. The first case is dominated by widespread stratiform precipitation. Together the various data sets show that the model overestimates the amount of high cloud, while underestimating the concentration of ice scatterers and overestimating reflectivity and differential reflectivity (ZDR). This indicates errors in both the amount and the size distributions of cloud and precipitation particles in the model’s microphysical parameterization. In the second case a narrow band of convective precipitation is embedded in a cold front, with significant modulation by the diurnal cycle. The model fails to show a significant diurnal cycle in cloud amount, and the timing and duration of convective cells is incorrect. In this case, both the microphysical parameterization, and errors in the interaction of the simulated front with the orography of the Alps appear to contribute. These results demonstrate the potential of combinations of remote sensing data for model evaluation, although a long-term trial will be required to determine whether the errors seen in the case studies are characteristic for COSMO-DE.

Item URL in elib:https://elib.dlr.de/67861/
Document Type:Article
Title:Validating precipitation forecasts using remote sensor synergy: A case study approach
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Pfeifer, MonikaSelex Systems Integration GmbHUNSPECIFIED
Yen, WenchieUniv. zu KölnUNSPECIFIED
Craig, GeorgeUniv. MünchenUNSPECIFIED
Crewell, SusanneUniv. zu KölnUNSPECIFIED
Fischer, JürgenFU BerlinUNSPECIFIED
Hagen, Martinmartin.hagen (at) dlr.de UNSPECIFIED
Hühnerbein, AnjaFU BerlinUNSPECIFIED
Mech, MarioUniv. zu KölnUNSPECIFIED
Reinhardt, ThorstenUniv. zu KölnUNSPECIFIED
Date:1 December 2010
Journal or Publication Title:Meteorologische Zeitschrift
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In ISI Web of Science:Yes
DOI :10.1127/0941-2948/2010/0487
Page Range:pp. 601-617
Publisher:Borntraeger Science Publishers
Keywords:numerical weather forecast, remote sensing, sensor synergy, validation
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Vorhaben Atmosphären- und Klimaforschung (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Atmospheric Physics > Cloud Physics and Traffic Meteorology
Deposited By: Hagen, Dr.rer.nat. Martin
Deposited On:20 Dec 2010 17:42
Last Modified:08 Mar 2018 18:46

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