Evaluation of daily precipitation statistics and monsoon onset/retreat over western Sahel in multiple data sets

Verfasser / Beitragende:
[Emilia Diaconescu, Philippe Gachon, John Scinocca, René Laprise]
Ort, Verlag, Jahr:
2015
Enthalten in:
Climate Dynamics, 45/5-6(2015-09-01), 1325-1354
Format:
Artikel (online)
ID: 605471673
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024 7 0 |a 10.1007/s00382-014-2383-2  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s00382-014-2383-2 
245 0 0 |a Evaluation of daily precipitation statistics and monsoon onset/retreat over western Sahel in multiple data sets  |h [Elektronische Daten]  |c [Emilia Diaconescu, Philippe Gachon, John Scinocca, René Laprise] 
520 3 |a The West Africa rainfall regime constitutes a considerable challenge for Regional Climate Models (RCMs) due to the complexity of dynamical and physical processes that characterise the West African Monsoon. In this paper, daily precipitation statistics are evaluated from the contributions to the AFRICA-CORDEX experiment from two ERA-Interim driven Canadian RCMs: CanRCM4, developed at the Canadian Centre for Climate Modelling and Analysis (CCCma) and CRCM5, developed at the University of Québec at Montréal. These modelled precipitation statistics are evaluated against three gridded observed datasets—the Global Precipitation Climatology Project (GPCP), the Tropical Rainfall Measuring Mission (TRMM), and the Africa Rainfall Climatology (ARC2)—and four reanalysis products (ECMWF ERA-Interim, NCEP/DOE Reanalysis II, NASA MERRA and NOAA-CIRES Twentieth Century Reanalysis). The two RCMs share the same dynamics from the Environment Canada GEM forecast model, but have two different physics' packages: CanRCM4 obtains its physics from CCCma's global atmospheric model (CanAM4), while CRCM5 shares a number of its physics modules with the limited-area version of GEM forecast model. The evaluation is focused on various daily precipitation statistics (maximum number of consecutive wet days, number of moderate and very heavy precipitation events, precipitation frequency distribution) and on the monsoon onset and retreat over the Sahel region. We find that the CRCM5 has a good representation of daily precipitation statistics over the southern Sahel, with spatial distributions close to GPCP dataset. Some differences are observed in the northern part of the Sahel, where the model is characterised by a dry bias. CanRCM4 and the ERA-Interim and MERRA reanalysis products overestimate the number of wet days over Sahel with a shift in the frequency distribution toward smaller daily precipitation amounts than in observations. Both RCMs and reanalyses have difficulties in reproducing the local onset date over the Sahel region. Nevertheless, the large-scale features of the monsoon precipitation evolution over West Africa are well reproduced by the RCMs, whereas the northern limit of the rainy bands is less accurately reproduced. Both RCMs exhibit an overall good representation of the local retreat index over the Sahel region. 
540 |a The Author(s), 2014 
690 7 |a Daily-precipitation indices  |2 nationallicence 
690 7 |a CORDEX experiment  |2 nationallicence 
690 7 |a RCM evaluation  |2 nationallicence 
690 7 |a West African monsoon  |2 nationallicence 
700 1 |a Diaconescu  |D Emilia  |u Canadian Centre for Climate Modelling and Analysis (CCCma), Environment Canada, Place Bonaventure, Portail Nord-Est, 800 rue de la Gauchetière Ouest, Bureau 7810, H5A 1L9, Montréal, QC, Canada  |4 aut 
700 1 |a Gachon  |D Philippe  |u Canadian Centre for Climate Modelling and Analysis (CCCma), Environment Canada, Place Bonaventure, Portail Nord-Est, 800 rue de la Gauchetière Ouest, Bureau 7810, H5A 1L9, Montréal, QC, Canada  |4 aut 
700 1 |a Scinocca  |D John  |u Canadian Centre for Climate Modelling and Analysis (CCCma), Environment Canada, Victoria, BC, Canada  |4 aut 
700 1 |a Laprise  |D René  |u Centre pour l'étude et la simulation du climat à l'échelle régionale (ESCER), Université du Québec à Montréal, Montréal, QC, Canada  |4 aut 
773 0 |t Climate Dynamics  |d Springer Berlin Heidelberg  |g 45/5-6(2015-09-01), 1325-1354  |x 0930-7575  |q 45:5-6<1325  |1 2015  |2 45  |o 382 
856 4 0 |u https://doi.org/10.1007/s00382-014-2383-2  |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/s00382-014-2383-2  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Diaconescu  |D Emilia  |u Canadian Centre for Climate Modelling and Analysis (CCCma), Environment Canada, Place Bonaventure, Portail Nord-Est, 800 rue de la Gauchetière Ouest, Bureau 7810, H5A 1L9, Montréal, QC, Canada  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Gachon  |D Philippe  |u Canadian Centre for Climate Modelling and Analysis (CCCma), Environment Canada, Place Bonaventure, Portail Nord-Est, 800 rue de la Gauchetière Ouest, Bureau 7810, H5A 1L9, Montréal, QC, Canada  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Scinocca  |D John  |u Canadian Centre for Climate Modelling and Analysis (CCCma), Environment Canada, Victoria, BC, Canada  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Laprise  |D René  |u Centre pour l'étude et la simulation du climat à l'échelle régionale (ESCER), Université du Québec à Montréal, Montréal, QC, Canada  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Climate Dynamics  |d Springer Berlin Heidelberg  |g 45/5-6(2015-09-01), 1325-1354  |x 0930-7575  |q 45:5-6<1325  |1 2015  |2 45  |o 382