In:
Journal of Climate, American Meteorological Society, Vol. 30, No. 14 ( 2017-07), p. 5151-5165
Kurzfassung:
This study introduces a new daily high-resolution land-only observational gridded dataset, called SA-OBS, for precipitation and minimum, mean, and maximum temperature covering Southeast Asia. This dataset improves upon existing observational products in terms of the number of contributing stations, in the use of an interpolation technique appropriate for daily climate observations, and in making estimates of the uncertainty of the gridded data. The dataset is delivered on a 0.25° × 0.25° and a 0.5° × 0.5° regular latitude–longitude grid for the period 1981–2014. The dataset aims to provide best estimates of grid square averages rather than point values to enable direct comparisons with regional climate models. Next to the best estimates, daily uncertainties are quantified. The underlying daily station time series are collected in cooperation between meteorological services in the region: the Southeast Asian Climate Assessment and Dataset (SACA & D). Comparisons are made with station observations and other gridded station or satellite-based datasets (APHRODITE, CMORPH, TRMM). The comparisons show that vast differences exist in the average daily precipitation, the number of rainy days, and the average precipitation on a wet day between these datasets. SA-OBS closely resembles the station observations in terms of dry/wet frequency, the timing of precipitation events, and the reproduction of extreme precipitation. New versions of SA-OBS will be released when the station network in SACA & D has grown further.
Materialart:
Online-Ressource
ISSN:
0894-8755
,
1520-0442
DOI:
10.1175/JCLI-D-16-0575.1
DOI:
10.1175/JCLI-D-16-0575.s1
Sprache:
Englisch
Verlag:
American Meteorological Society
Publikationsdatum:
2017
ZDB Id:
246750-1
ZDB Id:
2021723-7
