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Evaluation of regional climate models ALARO-0 and REMO2015 at 0.22° resolution over the CORDEX Central Asia domain.
- Source :
- Geoscientific Model Development Discussions; 3/5/2020, p1-38, 38p
- Publication Year :
- 2020
-
Abstract
- To allow for climate impact studies on human and natural systems high-resolution climate information is needed. Over some parts of the world plenty of regional climate simulations have been carried out, while in other regions hardly any high-resolution climate information is available. This publication aims at addressing one of these regional gaps by presenting an evaluation study for two regional climate models (RCMs) (REMO and ALARO-0) at a horizontal resolution of 0.22° (25 km) over Central Asia. The output of the ERA-Interim driven RCMs is compared with different observational datasets over the 1980-2017 period. The choice of the observational dataset has an impact on the scores but in general one can conclude that both models reproduce reasonably well the spatial patterns for temperature and precipitation. The evaluation of minimum and maximum temperature demonstrates that both models underestimate the daily temperature range. More detailed studies of the annual cycle over subregions should be carried out to reveal whether this is due to an incorrect simulation in cloud cover, atmospheric circulation or heat and moisture fluxes. In general, the REMO model scores better for temperature whereas the ALARO-0 model prevails for precipitation. This publication demonstrates that the REMO and ALARO-0 RCMs can be used to perform climate projections over Central Asia and that the produced climate data can be applied in impact modelling. [ABSTRACT FROM AUTHOR]
- Subjects :
- ATMOSPHERIC models
CLOUDINESS
ATMOSPHERIC circulation
HEAT flux
MAXIMA & minima
Subjects
Details
- Language :
- English
- ISSN :
- 19919611
- Database :
- Complementary Index
- Journal :
- Geoscientific Model Development Discussions
- Publication Type :
- Academic Journal
- Accession number :
- 142123439
- Full Text :
- https://doi.org/10.5194/gmd-2019-368