CONSTRUCTION OF A 1961-1990 EUROPEAN CLIMATOLOGY FOR CLIMATE-CHANGE MODELING AND IMPACT APPLICATIONS

Citation
M. Hulme et al., CONSTRUCTION OF A 1961-1990 EUROPEAN CLIMATOLOGY FOR CLIMATE-CHANGE MODELING AND IMPACT APPLICATIONS, International journal of climatology, 15(12), 1995, pp. 1333-1363
Citations number
42
Categorie Soggetti
Metereology & Atmospheric Sciences
ISSN journal
08998418
Volume
15
Issue
12
Year of publication
1995
Pages
1333 - 1363
Database
ISI
SICI code
0899-8418(1995)15:12<1333:COA1EC>2.0.ZU;2-S
Abstract
A 1961-1990 mean monthly climatology for a 'greater European' region e xtending from 32 degrees W to 66 degrees E and from 25 degrees to 81 d egrees N has been constructed at a resolution of 0.5 degrees latitude by 0.5 degrees longitude for a suite of nine surface climate variables : minimum, maximum, and mean air temperature; precipitation totals; su nshine hours; vapour pressure; wind speed; and (ground) frost day and rain day (>0.1 mm) frequencies. This climatology has been constructed from observed station data distributed across the region. Station freq uencies range from 936 (wind speed) to 3078 (precipitation). Over 95 p er cent of these data are based on observations between 1961 and 1990 and over 90 per cent were supplied by individual national meteorologic al agencies (NMAs) on specific request. For four variables, some stand ardization of the data had to be performed because different countries supplied data under different definitions. Thus cloud cover had to be converted to sunshine hours, relative humidity to vapour pressure, ai r frost days to ground frost days and rain days > 1 mm to rain days >0 .1 mm. The interpolation of the station data to the grid used elevatio n as one of the predictor variables and thus enabled three climate sur faces to be produced for each variable, reflecting the minimum, mean, and maximum elevation within each 0.5 degrees by 0.5 degrees cell. Sub sets of stations were used for the interpolation of each variable, the selection being based on optimizing the spatial distribution, source priority and length of record. The accuracy of the various interpolati ons was assessed using validation sets of independent station data (i. e. those not used in the interpolation). Estimated mean absolute error s (MAE) ranged from under 4 per cent for vapour pressure to about 10 p er cent for precipitation and up to 20 per cent for wind speed. The ac curacy of the interpolated surfaces for minimum and maximum temperatur e was between 0.5 degrees C and 0.8 degrees C. We believe these result s constitute the first climatology that has been constructed for this extensive European region at such a fine spatial resolution (0.5 degre es by 0.5 degrees) from relatively dense station networks, for three d ifferent elevation surfaces and for a wide range of surface climate va riables, all expressed with respect to a standard 30-year period. The climatology is already being used by researchers for applications in t he areas of ecosystem modelling, climate change impact assessment and climate model validation, and is available from the authors.