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Development and analysis of a daily high resolution grid over Spain (1950-2003)

Gridded climate data sets have the advantage of producing a historical set of consistent and regularly distributed observations, and are a very useful tool for validating numerical weather prediction models. In this work, a new 0.2º spatial resolution (~20 Kms) observational grid for precipitation and extremes temperatures (maximun and minimun) has been developed, built-up from the Spanish National Meteorological Institute (INM) data network: 3500 rain gauges and 850 thermometric stations. Both networks have a daily temporal coverage from 1950 to 2003.

Firstly, commonly used interpolation methods - such as kriging, kernel-based methods, angular distance weighting and thin plate splines- have been compared, using different aggregstiona time scales: daily weekly and monthly. In this work we show how the performance of the different metods depends on the aggregation time scale.

Secondly, in order to explore the utility of the grid, an analysis of the climatology, trends and teleconnections with El Nino-Southern Oscillation (ENSO) and North Atlantic Oscillation (NAO) has been performed.