印度卡纳塔克邦每日网格化Penman-Monteith参考作物蒸散量数据的开发

S. Niranjan, Lakshman Nandagiri
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引用次数: 0

摘要

由于缺乏密集的气候网络,通常无法在精细空间分辨率下获得参考作物蒸散(ET0)估算。本研究旨在开发一种方法,通过对气候站获得的估计值进行空间插值,获得印度卡纳塔克邦的网格化Penman-Monteith (PM) ET0数据集。采用三种插值技术,即逆距离加权(IDW)、克里格(Kriging)和基于点的哨点医院区域距离(P-BSHADE)来获得PM ET0估计。考虑到卡纳塔克邦67个站点2006-2016年的历史气候记录,使用交叉验证程序对插值方法进行了评估。结果表明,IDW的性能较好,在验证位点的误差显著降低。随后,利用IDW算法推导了印度卡纳塔克邦0.25°× 0.25°栅格的日PM ET0值。最后,将发达地区PM ET0网格化数据产品与全球三个ET0产品进行对比分析,发现发达地区网格化ET0在不同的农业气候带上最准确。已开发产品的网络链接已被创建,目的是为了分享关于ET0的数据,这是各种地球科学研究的关键输入。我们感谢卡纳塔克邦政府水资源开发组织(WRDO)提供了本研究中使用的气候数据集,并感谢三位匿名审稿人,他们的重要意见提高了本文的质量。披露声明作者未报告潜在的利益冲突。数据可用性声明数据在不发出doi的公共存储库中公开可用。本研究开发的数据集存储在一个存储库中,并提供文本数据引用。
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Development of daily gridded Penman-Monteith reference crop evapotranspiration data for Karnataka State, India
ABSTRACTReference crop evapotranspiration (ET0) estimates are often unavailable at fine spatial resolutions due to the lack of dense climatic networks. The present study was taken up to develop a methodology for obtaining a gridded Penman-Monteith (PM) ET0 dataset for Karnataka State, India, through spatial interpolation of estimates obtained at climate stations. Three interpolation techniques, Inverse Distance Weighted (IDW), Kriging, and Point-Based Sentinel Hospitals Area Distance (P-BSHADE), were employed to derive PM ET0 estimates. Considering the historical climate records of 67 stations located in Karnataka State for the period of 2006–2016, the interpolation methodologies were evaluated using a cross-validation procedure. Results showed that the performance of IDW was better with significant error reduction at validation sites. Subsequently, the IDW algorithm was used to derive daily PM ET0 values at 0.25° × 0.25° grids over the Karnataka State, India. Finally, the comparative analysis of developed PM ET0 gridded data product against three global ET0 products indicated the developed gridded ET0 to be most accurate across different agroclimatic zones. Web links of the developed product have been created in an effort to share the data on ET0, which is a critical input in a variety of studies in earth sciences.KEYWORDS: Penman-Monteithspatial interpolationIDWKrigingP-BSHADE AcknowledgementsWe are grateful to the Water Resources Development Organization (WRDO), Government of Karnataka, for providing the climate dataset used in the study and to three anonymous reviewers whose critical comments improved the quality of the manuscript.Disclosure statementNo potential conflict of interest was reported by the authors.Data availability statementData are openly available in a public repository that does not issue DOIs.The dataset developed in this study is stored in a repository and available in-text data citation.
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来源期刊
ISH Journal of Hydraulic Engineering
ISH Journal of Hydraulic Engineering Engineering-Civil and Structural Engineering
CiteScore
4.30
自引率
0.00%
发文量
59
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