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
Regional Climate Model; Reanalysis; Europe; Belgium; Heat waves; Cloudiness; Solar Radiation; MAR
Abstract :
[en] 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.
Disciplines :
Earth sciences & physical geography
Author, co-author :
Wyard, Coraline ; Université de Liège > Département de géographie > Climatologie et Topoclimatologie
Fettweis, Xavier ; Université de Liège > Département de géographie > Climatologie et Topoclimatologie
Scholzen, Chloé ; Université de Liège > Département de géographie > Climatologie et Topoclimatologie
Language :
English
Title :
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
Publication date :
29 August 2016
Event name :
15th International Swiss Climate Summer School 2016 "Climate Risks - Coping with Uncertainties"
Event organizer :
Oeschger Centre for Climate Change research, University of Bern, Switzerland
Event place :
Grindelwald, Switzerland
Event date :
from 28-08-2016 to 02-09-2016
Audience :
International
Funders :
FRIA - Fonds pour la Formation à la Recherche dans l'Industrie et dans l'Agriculture
This website uses cookies to improve user experience. Read more
Save & Close
Accept all
Decline all
Show detailsHide details
Cookie declaration
About cookies
Strictly necessary
Performance
Strictly necessary cookies allow core website functionality such as user login and account management. The website cannot be used properly without strictly necessary cookies.
This cookie is used by Cookie-Script.com service to remember visitor cookie consent preferences. It is necessary for Cookie-Script.com cookie banner to work properly.
Performance cookies are used to see how visitors use the website, eg. analytics cookies. Those cookies cannot be used to directly identify a certain visitor.
Used to store the attribution information, the referrer initially used to visit the website
Cookies are small text files that are placed on your computer by websites that you visit. Websites use cookies to help users navigate efficiently and perform certain functions. Cookies that are required for the website to operate properly are allowed to be set without your permission. All other cookies need to be approved before they can be set in the browser.
You can change your consent to cookie usage at any time on our Privacy Policy page.