globalchange  > 全球变化的国际研究计划
DOI: 10.1002/joc.6008
Scopus记录号: 2-s2.0-85061821646
论文题名:
Methodological application of quantile mapping to generate precipitation data over Northwest Himalaya
作者: Devi U.; Shekhar M.S.; Singh G.P.; Rao N.N.; Bhatt U.S.
刊名: International Journal of Climatology
ISSN: 8998418
出版年: 2019
语种: 英语
英文关键词: Himalaya ; precipitation ; quantile mapping ; sparse data density
Scopus关键词: Errors ; Mapping ; Mean square error ; Precipitation (chemical) ; Daily precipitations ; Himalayas ; Mountainous regions ; Reference stations ; Root mean square errors ; Sparse data ; Statistical measures ; Winter precipitation ; Electric substations
英文摘要: Continuous high quality data are critical for weather and climate investigations. Numerous data gaps exist particularly over mountainous regions which limits the ability to construct climatologies and perform trend analysis. This study addresses the issue of sparse precipitation data over Northwest Himalaya (NWH) and fills data voids by applying the quantile mapping (QM) method. QM is applied to observed winter precipitation for a period of 25 years (1991–1992 to 2015–2016) to construct a continuous reliable data set. The first 20 years (1991–1992 to 2010–2011) are used for training and the remaining 5 years (2011–2012 to 2015–2016) are used for validation. In total, 10 stations are available for this study and each one is considered serially as a reference to generate daily precipitation values at the other stations. The mean precipitation of NWH region is constructed by considering the mean of all the stations. Standard statistical measures like root mean square errors, standard deviation, skill score and its decompositions are applied to evaluate the generated datasets. Based on statistical analysis, the Kanzalwan station, located in Great Himalaya range, is one of the best performing reference stations for generating precipitation values over NWH. The statistical measures of this station show the highest skill scores, lowest root mean square error and lowest standard mean errors for all winter months except January. This study provides a successful application of QM to generate precipitation data for climate analysis over the complex terrain of the Himalaya region. © 2019 Royal Meteorological Society
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/116619
Appears in Collections:全球变化的国际研究计划

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作者单位: Snow and Avalanche Study Establishment, Research and Development Centre, Chandigarh, India; Department of Geophysics, Institute of Science, Banaras Hindu University, Varanasi, India; Department of Atmospheric Science, Geophysical Institute, University of Alaska Fairbanks (UAF), Fairbanks, AK, United States

Recommended Citation:
Devi U.,Shekhar M.S.,Singh G.P.,et al. Methodological application of quantile mapping to generate precipitation data over Northwest Himalaya[J]. International Journal of Climatology,2019-01-01
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