Kioutsioukis, Ioannis, de Meij, Alexander ORCID: 0000-0003-3799-7951, Jakobs, Hermann, Katragkou, Eleni ORCID: 0000-0003-0863-3411, Vinuesa, Jean-Francois and Kazantzidis, Andreas (2016). High resolution WRF ensemble forecasting for irrigation: Multi-variable evaluation. Atmos. Res., 167. S. 156 - 175. NEW YORK: ELSEVIER SCIENCE INC. ISSN 1873-2895

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Abstract

An ensemble of meteorological simulations with the WRF model at convection-allowing resolution (2 km) is analysed in a multi-variable evaluation framework over Europe. Besides temperature and precipitation, utilized variables are relative humidity, boundary layer height, shortwave radiation, wind speed, convective and large-scale precipitation in view of explaining some of the biases. Furthermore, the forecast skill of evapotranspiration and irrigation water need is ultimately assessed. It is found that the modelled temperature exhibits a small but significant negative bias during the cold period in the snow-covered northeast regions. Total precipitation exhibits positive bias during all seasons but autumn, peaking in the spring months. The varying physics configurations resulted in significant differences for the simulated minimum temperature, summer rainfall, relative humidity, solar radiation and planetary boundary layer height. The interaction of the temperature and moisture profiles with the different microphysics schemes, results in excess convective precipitation using MYJ/WSM6 compared to YSU/Thompson. With respect to evapotranspiration and irrigation need, the errors using the MYJ configuration were in opposite directions and eventually cancel out, producing overall smaller biases. WRF was able to dynamically downscale global forecast data into finer resolutions in space and time for hydro-meteorological applications such as the irrigation management. Its skill was sensitive to the geographical location and physical configuration, driven by the variable relative importance of evapotranspiration and rainfall. (C) 2015 Elsevier B.V. All rights reserved.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Kioutsioukis, IoannisUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
de Meij, AlexanderUNSPECIFIEDorcid.org/0000-0003-3799-7951UNSPECIFIED
Jakobs, HermannUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Katragkou, EleniUNSPECIFIEDorcid.org/0000-0003-0863-3411UNSPECIFIED
Vinuesa, Jean-FrancoisUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Kazantzidis, AndreasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-292297
DOI: 10.1016/j.atmosres.2015.07.015
Journal or Publication Title: Atmos. Res.
Volume: 167
Page Range: S. 156 - 175
Date: 2016
Publisher: ELSEVIER SCIENCE INC
Place of Publication: NEW YORK
ISSN: 1873-2895
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
WEATHER RESEARCH; PBL SCHEMES; MODEL; CONVECTION; SIMULATIONS; SENSITIVITY; WATER; IMPLEMENTATION; PERFORMANCE; DEPENDENCEMultiple languages
Meteorology & Atmospheric SciencesMultiple languages
Refereed: Yes
URI: http://kups.ub.uni-koeln.de/id/eprint/29229

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