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浏览/检索结果: 共5条，第1-5条 帮助 限定条件 发表日期：2019    专题：地理科学与资源研究所    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 A modified regional L-moment method for regional extreme precipitation frequency analysis in the Songliao River Basin of China 期刊论文 ATMOSPHERIC RESEARCH, 2019, 卷号: 230, 页码: 11 作者:  Hu, Chen;  Xia, Jun;  She, Dunxian;  Xu, Chongyu;  Zhang, Liping 收藏  |  浏览/下载：1/0  |  提交时间：2020/05/19 Regional frequency analysis  L-moments method  A comprehensive index  Xie-Benn index  The Songliao River Basin   Overestimated climate warming and climate variability due to spatially homogeneous CO2 in climate modeling over the Northern Hemisphere since the mid-19th century 期刊论文 SCIENTIFIC REPORTS, 2019, 卷号: 9, 页码: 9 作者:  Zhang, Xuezhen;  Li, Xiaxiang;  Chen, Deliang;  Cui, Huijuan;  Ge, Quansheng 收藏  |  浏览/下载：2/0  |  提交时间：2020/05/19 Distribution and vegetation representation of pollen assemblages from surface sediments of Nam Co, a large alpine lake in the central Tibetan Plateau 期刊论文 VEGETATION HISTORY AND ARCHAEOBOTANY, 2019, 卷号: 28, 期号: 4, 页码: 365-377 作者:  Li, Quan 收藏  |  浏览/下载：57/0  |  提交时间：2019/09/24 Modern pollen assemblage  Surface lake sediment  Nam Co  Tibetan Plateau   An Improved Computational Geometry Method for Obtaining Accurate Remotely Sensed Products via Convex Hulls With Dynamic Weights: A Case Study With Leaf Area Index 期刊论文 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2019, 卷号: 12, 期号: 7, 页码: 2308-2319 作者:  Chen, Hong;  wu, Hua;  Li, Zhao-Liang;  Tu, Jienan 收藏  |  浏览/下载：83/0  |  提交时间：2020/03/23 Computational geometry  leaf area index (LAI)  Taylor series expansion  upscaling   Accuracy Evaluation and Consistency Analysis of Four Global Land Cover Products in the Arctic Region 期刊论文 REMOTE SENSING, 2019, 卷号: 11, 期号: 12, 页码: 24 作者:  Liang, Li;  Liu, Qingsheng;  Liu, Gaohuan;  Li, He;  Huang, Chong 收藏  |  浏览/下载：48/0  |  提交时间：2019/09/24 global land cover dataset  spatial agreement  spatial variation in accuracy  Arctic