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The role of the land‐surface model for climate change projections over the Iberian Peninsula
Author(s) -
Jerez S.,
Montavez J. P.,
GomezNavarro J. J.,
Jimenez P. A.,
JimenezGuerrero P.,
Lorente R.,
GonzalezRouco J. F.
Publication year - 2012
Publication title -
journal of geophysical research: atmospheres
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.67
H-Index - 298
eISSN - 2156-2202
pISSN - 0148-0227
DOI - 10.1029/2011jd016576
Subject(s) - precipitation , environmental science , climate change , climatology , climate model , peninsula , atmosphere (unit) , moisture , water content , atmospheric sciences , convection , geology , geography , meteorology , oceanography , geotechnical engineering , archaeology
The importance of land‐surface processes within Regional Climate Models for accurately reproducing the present‐day climate is well known. However, their role when projecting future climate is still poorly reported. Hence, this work assesses the influence of the land‐surface processes, particularly the contribution of soil moisture, when projecting future changes for temperature, precipitation and wind over a complex area as the Iberian Peninsula, which, in addition, shows great sensitivity to climate change. The main signals are found for the summer season, when the results indicate a strengthening in the increases projected for both mean temperature and temperature variability as a consequence of the future intensification of the positive soil moisture‐temperature feedback. The more severe warming over the inner dry Iberian Peninsula further implies an intensification of the Iberian thermal low and, thus, of the cyclonic circulation. Furthermore, the land‐atmosphere coupling leads to the projection of a wider future daily temperature range, since maximum temperatures are more affected than minima, a feature absent in non‐coupled simulations. Regarding variability, the areas where the land‐atmosphere coupling introduces larger changes are those where the reduction in the soil moisture content is more dramatic in future simulations, i.e., the so‐called transitional zones. As regards precipitation, weaker positive signals for convective precipitation and more intense negative signals for non‐convective precipitation are obtained as a result of the soil moisture‐atmosphere interactions. These results highlight the crucial contribution of soil moisture to climate change projections and suggest its plausible key role for future projections of extreme events.

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