DOI: 10.1175/JCLI-D-16-0575.1
Scopus记录号: 2-s2.0-85021132467
论文题名: SA-OBS: A daily gridded surface temperature and precipitation dataset for Southeast Asia
作者: van den Besselaar E.J.M. ; van der Schrier G. ; Cornes R.C. ; Suwondo A. ; Iqbal ; Tank A.M.G.K.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2017
卷: 30, 期: 14 起始页码: 5151
结束页码: 5165
语种: 英语
Scopus关键词: Atmospheric temperature
; Data handling
; Data processing
; Precipitation (chemical)
; Precipitation (meteorology)
; Surface properties
; Switching networks
; Uncertainty analysis
; Asia
; Climate record
; Extreme precipitation
; Interpolation techniques
; Latitude longitude grid
; Precipitation events
; Regional climate models
; Surface temperatures
; Climate models
; Aphrodita
英文摘要: 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. © 2017 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/48827
Appears in Collections: 气候减缓与适应 气候变化与战略
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作者单位: Royal Netherlands Meteorological Institute (KNMI), De Bilt, Netherlands; Climatic Research Unit, University of East Anglia, Norwich, United Kingdom; Badan Meteorologi, Klimatologi dan Geofisika, Jakarta Pusat, Indonesia
Recommended Citation:
van den Besselaar E.J.M.,van der Schrier G.,Cornes R.C.,et al. SA-OBS: A daily gridded surface temperature and precipitation dataset for Southeast Asia[J]. Journal of Climate,2017-01-01,30(14)