How reliable are the models to study recent climate change ? A study of heat/cold waves and radiative fluxes trends over 1900-2010 using the model MAR in Belgium

This research aims to assess the ability of the regional climate model MAR ("Modèle Atmosphérique Régional") to reconstruct the observed twentieth century climatology of extreme events and solar radiation in Belgium, as a necessary condition for reliable future projections. Simulations were performed by forcing MAR with several reanalyses: the ERA40/ERA-Interim, the ERA-20C and the NCEP/NCAR-v1. The results suggests that increasing air temperature would have generated decreasing relative humidity which would have lead to a decrease in cloudiness and an increase in solar downward radiation. Thi... Mehr ...

Verfasser: Wyard, Coraline
Fettweis, Xavier
Scholzen, Chloé
Dokumenttyp: conference poster not in proceedings
Erscheinungsdatum: 2016
Schlagwörter: Regional Climate Model / Reanalysis / Europe / Belgium / Heat waves / Cloudiness / Solar Radiation / MAR / Physical / chemical / mathematical & earth Sciences / Earth sciences & physical geography / Physique / chimie / mathématiques & sciences de la terre / Sciences de la terre & géographie physique
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-28949901
Datenquelle: BASE; Originalkatalog
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Link(s) : https://orbi.uliege.be/handle/2268/201970

This research aims to assess the ability of the regional climate model MAR ("Modèle Atmosphérique Régional") to reconstruct the observed twentieth century climatology of extreme events and solar radiation in Belgium, as a necessary condition for reliable future projections. Simulations were performed by forcing MAR with several reanalyses: the ERA40/ERA-Interim, the ERA-20C and the NCEP/NCAR-v1. The results suggests that increasing air temperature would have generated decreasing relative humidity which would have lead to a decrease in cloudiness and an increase in solar downward radiation. This research illustrates the dependency between RCMs and their forcings. The forcing reanalyses can generate divergent trends while contrary to Global Climate Models (GCM), the reanalyses assimilate observations and are supposed to represent the same climate.