Daily dataset of 20th‐century surface air temperature and precipitation series for the European Climate Assessment

International Journal of Climatology - Tập 22 Số 12 - Trang 1441-1453 - 2002
Albert Klein Tank1, J. Wijngaard1, G. P. Können1, Reinhard Böhm2, Gaston R. Demarée3, Anelia Gocheva4, M. Mileta5, Stelios Pashiardis6, L. Hejkrlík7, Claus Kern-Hansen8, Raino Heino9, P. Bessemoulin10, G. Müller‐Westermeier11, M. Tzanakou12, S. Szalai13, T. Pálsdóttir14, D. L. Fitzgerald15, Shira Raveh‐Rubin16, M. Capaldo17, Maurizio Maugeri18, A. Leitass19, Arūnas Bukantis20, R. Aberfeld21, A. F. V. van Engelen1, Eirik J. Førland22, Mirosław Miętus23, M. F. E. S. Coelho24, Constantin Mares25, V. N. Razuvaev26, Elena Nieplova27, Tanja Cegnar28, José A. López29, Bengt Dahlström30, Anders Moberg31, W. Kirchhofer32, Alpaslan Ceylan33, O. Pachaliuk34, Lisa V. Alexander35, Predrag Petrović36
1Royal Netherlands Meteorological Institute, De Bilt, The Netherlands
2Central Institute for Meteorology and Geodynamics, Austria
3Royal Meteorological Institute of Belgium
4National Institute of Meteorology and Hydrology, Bulgaria
5Meteorological and Hydrological Service, Croatia
6Meteorological Service of Cyprus
7Czech Hydrometeorological Institute
8) Danish Meteorological Institute.
9Finnish Meteorological Inst.
10Météo France
11Deutscher Wetterdienst;
12Hellenic National Meteorological Service; Greece
13Hungarian Meteorological Service
14Icelandic Meteorological Office
15Met Éireann, Ireland
16Israel Meteorological Service
17Ufficio Generale della Meteorologia, Italy
18Istituto di Fisica Generale Applicata, Italy
19Latvian Hydrometeorological Agency
20Division of Climatology of the Institute of Geography, Lithuania
21Service Meteorologique du Luxembourg
22 Norwegian Meteorological Institute
23Institute of Meteorology and Water Management, Poland
24Instituto de Meteorologia, Portugal
25National Institute of Meteorology and Hydrology, Romania
26Russian Federal Service for Hydrometeorology and Environmental Monitoring
27Slovak Hydrometeorological Institute
28Environmental Agency of the Republic of Slovenia
29Instituto Nacional de Meteorologia Spain
30Swedish Meteorological and Hydrological Institute
31Department of Physical Geography and Quarternary Geology, Stockholm University, Sweden
32MeteoSwiss, Switzerland
33Devlet Meteoroloji Genel Müdürlüoü, Turkey
34Central Geophysical Observatory, Committee of the Hydrometeorology, Ukraine
35Met Office, UK
36Republic Hydrometeorological Institute of Serbia, Yugoslavia

Tóm tắt

Abstract

We present a dataset of daily resolution climatic time series that has been compiled for the European Climate Assessment (ECA). As of December 2001, this ECA dataset comprises 199 series of minimum, maximum and/or daily mean temperature and 195 series of daily precipitation amount observed at meteorological stations in Europe and the Middle East. Almost all series cover the standard normal period 1961–90, and about 50% extends back to at least 1925. Part of the dataset (90%) is made available for climate research on CDROM and through the Internet (at http://www.knmi.nl/samenw/eca).

A comparison of the ECA dataset with existing gridded datasets, having monthly resolution, shows that correlation coefficients between ECA stations and nearest land grid boxes between 1946 and 1999 are higher than 0.8 for 93% of the temperature series and for 51% of the precipitation series. The overall trends in the ECA dataset are of comparable magnitude to those in the gridded datasets.

The potential of the ECA dataset for climate studies is demonstrated in two examples. In the first example, it is shown that the winter (October–March) warming in Europe in the 1976–99 period is accompanied by a positive trend in the number of warm‐spell days at most stations, but not by a negative trend in the number of cold‐spell days. Instead, the number of cold‐spell days increases over Europe. In the second example, it is shown for winter precipitation between 1946 and 1999 that positive trends in the mean amount per wet day prevail in areas that are getting drier and wetter.

Because of its daily resolution, the ECA dataset enables a variety of empirical climate studies, including detailed analyses of changes in the occurrence of extremes in relation to changes in mean temperature and total precipitation. Copyright © 2002 Royal Meteorological Society.

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