Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1175/JCLI-D-16-0575.1 |
SA-OBS: A Daily Gridded Surface Temperature and Precipitation Dataset for Southeast Asia | |
Van den Besselaar, Else J. M.1; Van der Schrier, Gerard1; Cornes, Richard C.1,2; Iqbal, Aris Suwondo3; Tank, Albert M. G. Klein1 | |
2017-07-01 | |
发表期刊 | JOURNAL OF CLIMATE |
ISSN | 0894-8755 |
EISSN | 1520-0442 |
出版年 | 2017 |
卷号 | 30期号:14 |
文章类型 | Article |
语种 | 英语 |
国家 | Netherlands; England; Indonesia |
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 degrees x 0.25 degrees and a 0.5 degrees x 0.5 degrees 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. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000404018600002 |
WOS关键词 | DEPENDENCE ; RAIN |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/19423 |
专题 | 气候变化 |
作者单位 | 1.Royal Netherlands Meteorol Inst KNMI, De Bilt, Netherlands; 2.Univ East Anglia, Climat Res Unit, Norwich, Norfolk, England; 3.Badan Meteorol Klimatol & Geofis, Jakarta, Indonesia |
推荐引用方式 GB/T 7714 | Van den Besselaar, Else J. M.,Van der Schrier, Gerard,Cornes, Richard C.,et al. SA-OBS: A Daily Gridded Surface Temperature and Precipitation Dataset for Southeast Asia[J]. JOURNAL OF CLIMATE,2017,30(14). |
APA | Van den Besselaar, Else J. M.,Van der Schrier, Gerard,Cornes, Richard C.,Iqbal, Aris Suwondo,&Tank, Albert M. G. Klein.(2017).SA-OBS: A Daily Gridded Surface Temperature and Precipitation Dataset for Southeast Asia.JOURNAL OF CLIMATE,30(14). |
MLA | Van den Besselaar, Else J. M.,et al."SA-OBS: A Daily Gridded Surface Temperature and Precipitation Dataset for Southeast Asia".JOURNAL OF CLIMATE 30.14(2017). |
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