Variability of West African monsoon patterns generated by a WRF multi-physics ensemble

Verfasser / Beitragende:
[Cornelia Klein, Dominikus Heinzeller, Jan Bliefernicht, Harald Kunstmann]
Ort, Verlag, Jahr:
2015
Enthalten in:
Climate Dynamics, 45/9-10(2015-11-01), 2733-2755
Format:
Artikel (online)
ID: 605472963
LEADER caa a22 4500
001 605472963
003 CHVBK
005 20210128100340.0
007 cr unu---uuuuu
008 210128e20151101xx s 000 0 eng
024 7 0 |a 10.1007/s00382-015-2505-5  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s00382-015-2505-5 
245 0 0 |a Variability of West African monsoon patterns generated by a WRF multi-physics ensemble  |h [Elektronische Daten]  |c [Cornelia Klein, Dominikus Heinzeller, Jan Bliefernicht, Harald Kunstmann] 
520 3 |a The credibility of regional climate simulations over West Africa stands and falls with the ability to reproduce the West African monsoon (WAM) whose precipitation plays a pivotal role for people's livelihood. In this study, we simulate the WAM for the wet year 1999 with a 27-member multi-physics ensemble of the Weather Research and Forecasting (WRF) model. We investigate the inter-member differences in a process-based manner in order to extract generalizable information on the behavior of the tested cumulus (CU), microphysics (MP), and planetary boundary layer (PBL) schemes. Precipitation, temperature and atmospheric dynamics are analyzed in comparison to the Tropical Rainfall Measuring Mission (TRMM) rainfall estimates, the Global Precipitation Climatology Centre (GPCC) gridded gauge-analysis, the Global Historical Climatology Network (GHCN) gridded temperature product and the forcing data (ERA-Interim) to explore interdependencies of processes leading to a certain WAM regime. We find that MP and PBL schemes contribute most to the ensemble spread (147mmmonth−1) for monsoon precipitation over the study region. Furthermore, PBL schemes have a strong influence on the movement of the WAM rainband because of their impact on the cloud fraction, that ranges from 8 to 20% at 600hPa during August. More low- and mid-level clouds result in less incoming radiation and a weaker monsoon. Ultimately, we identify the differing intensities of the moist Hadley-type meridional circulation that connects the monsoon winds to the Tropical Easterly Jet as the main source for inter-member differences. The ensemble spread of Sahel precipitation and associated dynamics for August 1999 is comparable to the observed inter-annual spread (1979-2010) between dry and wet years, emphasizing the strong potential impact of regional processes and the need for a careful selection of model parameterizations. 
540 |a The Author(s), 2015 
690 7 |a WRF  |2 nationallicence 
690 7 |a West African monsoon  |2 nationallicence 
690 7 |a Multi-physics ensemble  |2 nationallicence 
690 7 |a Precipitation  |2 nationallicence 
690 7 |a Parameterization  |2 nationallicence 
690 7 |a Tropical Easterly Jet  |2 nationallicence 
690 7 |a African Easterly Jet  |2 nationallicence 
700 1 |a Klein  |D Cornelia  |u Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, 82467, Garmisch-Partenkirchen, Germany  |4 aut 
700 1 |a Heinzeller  |D Dominikus  |u Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, 82467, Garmisch-Partenkirchen, Germany  |4 aut 
700 1 |a Bliefernicht  |D Jan  |u Institute of Geography, Chair for Regional Climate and Hydrology, University of Augsburg, 86135, Augsburg, Germany  |4 aut 
700 1 |a Kunstmann  |D Harald  |u Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, 82467, Garmisch-Partenkirchen, Germany  |4 aut 
773 0 |t Climate Dynamics  |d Springer Berlin Heidelberg  |g 45/9-10(2015-11-01), 2733-2755  |x 0930-7575  |q 45:9-10<2733  |1 2015  |2 45  |o 382 
856 4 0 |u https://doi.org/10.1007/s00382-015-2505-5  |q text/html  |z Onlinezugriff via DOI 
898 |a BK010053  |b XK010053  |c XK010000 
900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s00382-015-2505-5  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Klein  |D Cornelia  |u Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, 82467, Garmisch-Partenkirchen, Germany  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Heinzeller  |D Dominikus  |u Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, 82467, Garmisch-Partenkirchen, Germany  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Bliefernicht  |D Jan  |u Institute of Geography, Chair for Regional Climate and Hydrology, University of Augsburg, 86135, Augsburg, Germany  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Kunstmann  |D Harald  |u Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, 82467, Garmisch-Partenkirchen, Germany  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Climate Dynamics  |d Springer Berlin Heidelberg  |g 45/9-10(2015-11-01), 2733-2755  |x 0930-7575  |q 45:9-10<2733  |1 2015  |2 45  |o 382