DocumentCode :
252007
Title :
Climate Downscaling Processes Using WRF/Chem and CALMET Modelling Systems: Madrid Case Study
Author :
San Jose, Roberto ; Perez, Juan L. ; Pecci, Julia ; Garzon, Antonio ; Palacios, Marino
Author_Institution :
Environ. Software & Modelling Group, Tech. Univ. of Madrid, Madrid, Spain
fYear :
2014
fDate :
8-11 Dec. 2014
Firstpage :
830
Lastpage :
835
Abstract :
Downscaling techniques are very important to assure the robustness and credibility of climate modelling exercises. Regional climate simulations use boundary conditions and initial conditions from global climate and meteorological models. The regional climate simulations (WRF/chem model) have much higher spatial resolution and using nesting approaches can be used to derive climate indicators at urban level. Dynamical nesting approaches -- also known as dynamical downscaling procedures -- use a substantial amount of computer power, particularly for urban applications, other alternatives such as CALMET diagnostic model (for meteorological applications) and CMAQ model (with linear chemistry) produce results faster and can be used for climate applications with reasonable required computer power. In this contribution, we are using the European Centre for Medium-Range Weather Forecasts (ECMWF) model data sets to provide boundary conditions for the mesoscale model WRF/Chem (NOAA, US) that has been ran over Europe with 23 km spatial resolution and 33 vertical levels up to 50 hPa. We have used the full nesting approach defined into WRF model to produce simulations centered over the city of Madrid (Spain) with 4.6 km spatial resolution (nesting level 1, l1), 0.92 km spatial resolution (nesting level 2, l2) and 0.184 km spatial resolution (nesting level 3, l3). In l3, we have run the CMAQ (full chemistry) model (EPA, US) to produce chemical pollution data. We have applied both downscaling techniques over Madrid area using Retiro meteorological and air pollution monitoring station as observational station. The comparison between both downscaling techniques shows that CALMET-CMAQL (linear chemistry) model is much faster and the results are good enough (compared with other simulations results) to consider this tool, when the number of simulations for climate purposes is very high (due to many years and several climate scenarios) and the application of the WRF/chem model (dynamica- downscaling) is prohibited computationally.
Keywords :
air pollution; climate mitigation; digital simulation; geophysics computing; CALMET diagnostic model; CALMET modelling systems; CMAQ model; ECMWF model data sets; European Centre for Medium-Range Weather Forecasts; Madrid; Retiro air pollution monitoring station; Retiro meteorological monitoring station; Spain; WRF-Chem modelling systems; chemical pollution data; climate downscaling processes; climate modelling exercises; dynamical downscaling procedures; dynamical nesting approaches; full nesting approach; meteorological models; regional climate simulations; spatial resolution; Atmospheric modeling; Computational modeling; Data models; Europe; Land surface; Meteorology; Spatial resolution; CALMET; CMAQ; Downscaling; ECMWF; WRF/Chem;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Utility and Cloud Computing (UCC), 2014 IEEE/ACM 7th International Conference on
Conference_Location :
London
Type :
conf
DOI :
10.1109/UCC.2014.135
Filename :
7027602
Link To Document :
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