西安理工大学学报2018，Vol.34Issue(4)：379-387,9.DOI:10.19322/j.cnki.issn.1006-4710.2018.04.001
基于多源数据集估算缺资料地区地表净辐射及其时空变化特征
Estimation of surface net radiation and its temporal and spatial variations in ungauged region based on multi-source data sets
摘要
Abstract
By using ITPCAS Meteorological Forcing Dataset and GLASS surface albedo dataset, PenmanMonteith formula was used to estimate daily surface net radiation (Rn) in ungauged region during 1979-2015, the source region of the Yellow River is taken as a case study.GIS spatial analysis technology and Mann-Kendall trend analysis method are used to reveal regional Rnspatiotemporal dynamic characteristics.The results show that 1) By comparing Rnestimated by ITPCAS Forcing Dataset with Rnestimated by weather station data, the correlation coefficients of all sites are above 0.98, with the values of root mean square error between 1.29～1.77;2) Annual/seasonal Rnvalues decline visibly with a fluctuant process in the source region of the Yellow River, with the changing rate of the annual Rnreaching 0.067MJ·m-2·d-1 every 10years.The maximum downtrend (-0.075MJ·m-2·d-1 every 10years) is in spring and winter, while the minimum downtrend (-0.039MJ·m-2·d-1 every 10years) is in autumn.Regional mean monthly Rnhas a single peak with the maximum value (14.31MJ·m-2·d-1) in May and the minimum value (3.34MJ·m-2·d-1) in December;3) The spatial distribution of Rnvalue and annual/seasonal variation trend is similar.The annual mean Rnin the most areas (91.6％) displays a downward trend.In the seasonal scale, the decline of Rnis most obvious in winter, while in autumn it is least obvious;4) The maximum values of Rnare in the 4 000～4 500marea, and the minimum values are in a region of more than4 500m.Except the region of 3 500～4 000min autumn, the rest areas in all seasons showe a downward trend.关键词
缺资料地区/多源数据集/地表净辐射/时空变化/Mann-Kendall趋势分析/黄河源区Key words
ungauged region/multi-source data sets/surface net radiation/spatiotemporal change/Mann-Kendall trend analysis/source region of the Yellow River分类
天文与地球科学引用本文复制引用
张晓龙,沈冰,黄领梅,权全,莫淑红,梁晓燕..基于多源数据集估算缺资料地区地表净辐射及其时空变化特征[J].西安理工大学学报,2018,34(4):379-387,9.基金项目
国家重点研发计划资助项目(2017YFC0403605) （2017YFC0403605）
国家自然科学基金资助项目(51509202,51679185) （51509202,51679185）
