标题：Reconstruction of thermal local signal from statistical downscaling (sd) through artificial neuronal network: detection of local patterns of change in Valencia Region (Spain) (1948-2011)
期刊名称：Boletín de la Asociación de Geógrafos Españoles
印刷版ISSN：0212-9426
电子版ISSN：2605-3322
出版年度：2016
期号：70
页码：471-476
其他摘要：For the area of Valencia (Spain) is available more than 300 daily temperature series of which only three cover completely the period from 1948 to 2011, and a majority less than half of that period. This work seeks to reconstruct all missing local thermal signals for the whole period 1948-2011 from the NCEP/NCAR reanalysis availability in that period. To do this, a statistical downscaling is performed with the observed data available through an ANN. This allowed us to detect local patterns of climate change that have been consistent over time and space. These patterns indicate substantially a greater warming tendency in the upper parts of the reliefs and mountain areas, and lower in the valley bottoms and lower lands. The value of the study lies primarily in identifying areas potentially more vulnerable to thermal change, rather than the accurate determination of a global magnitude of thermal change.
