JoH paper:基于并行计算和遥感产品的模型分布式校准策略研究

我们基于并行计算技术,提出了一种基于遥感产品和径流观测的模型分布式校准方法,并将该方法与四个传统的方法进行了比较。我们发现,新的方法不仅能提升模型的模拟精度,而且计算效率明显更高(传统方法校准需要几个小时,而我们只需要几十分钟)。论文地址: https://www.sciencedirect.com/science/article/abs/pii/S0022169421004066

我的方法选择SWAT模型进行了测试,代码地址如下,欢迎大家使用。
https://github.com/HydroRS/ParallelSWAT

Satellite-based products can provide valuable information for model calibrations and evaluations. However, effectively and efficiently constraining hydrological models with both satellite-based information and streamflow measure[……]

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JoH paper: 一种基于双机器学习的降水融合方法

我们提出了一种基于双机器学习的降水融合方法,取得了较好的效果。

算法地址:https://github.com/zhanglingky/MLPrecMerg

文章地址: https://doi.org/10.1016/j.jhydrol.2021.125969

Abstract: This study proposed a novel double machine learning (DML) approach to merge multiple satellite-based precipitation products (SPPs) and gauge observations, and tested its reliability and validity over the Chinese mainland. The DML approach was mainly developed based on the classification model of random forest (RF) in combination with the regressi[……]

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MicroMet插值代码

最近一段时间,不断有人Email问我micromet插值软件的代码,我把代码放在这里公开:下载地址链接: https://pan.baidu.com/s/1fnaBaPhPopPiD0Z59xEveA 提取码: utjs

我也给出两篇参考文献。一篇是原作者的文章(1),一篇是我自己关于micromet的一篇文章(2),里面谈到了micromet插值方法的一些不足。

(1) Liston, G.E. and K. Elder, A meteorological distribution system for high-resolution terrestrial modeling (MicroMet). Journal of Hydrometeorology, 2006. 7(2): p. 217-234.
(2) Zhang, L., et al., Interpolated or satellite-based precipitation? Implications for hydrological modeling in a meso-scale mountainous[……]

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JoH paper:插值降水和卫星降水对山区水文模拟精度的影响

站点插值和卫星降水产品是获取空间降水分布的两个重要手段;对于站点分布稀疏的山区流域水文模拟,我们应采用站点插值还是卫星降水产品?针对这一科学问题,我们采用DHSVM模型,通过模型实验开展了研究。我们首先比较插值降水和卫星降水产品的精度,发现前者在日尺度的精度更高,而在月尺度和年尺度精度相当。然后,用插值降水和卫星降水分别驱动DHSVM模型,研究发现插值降水带来的径流模拟精度更高;卫星降水带来的径流模拟精度可通过模型校准得到显著提升,但会牺牲蒸散发的模拟精度。研究强调:仅考虑径流观测来评价遥感降水产品的水文有效性,具有一定的局限性。该研究成果,发表在Journal of Hydrology. Link: https://doi.org/10.1016/j.jhydrol.2020.124629

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JoH paper:遥感降水产品融合与评价

评价“自下而上”的遥感降水产品SM2RAIN-ASCAT在中国大陆区域的精度,并将该产品与传统的“自下而上”的产品GPM IMERG进行融合和比较。研究发现SM2RAIN产品的精度较满意,尤其是在干旱半干旱地区;SM2RAIN产品在日尺度的精度高于IMERG,而在月尺度小于IMERG;融合后的产品的精度会得到显著的提升,证实了通过数据融合的手段,可获取精度更高的遥感降水产品。进一步的研究还发现,遥感降水产品的精度与高程和降水强度具有密切的联系,该研究成果发表在水文学领域顶级期刊:Journal of Hydrology. Link: https://doi.org/10.1016/j.jhydrol.2019.124456

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研究成果报道:Water and Irrigation; Studies from Chinese Academy of Sciences Describe New Findings in Water and Irrigation

Water and Irrigation; Studies from Chinese Academy of Sciences Describe New Findings in Water and Irrigation (Determining the Influence of Irrigation Efficiency Improvement On Water Use and Consumption By Conceptually Considering Hydrological Pathways)

2019 MAR 21 (VerticalNews) — By a News Reporter-Staff News Editor at Agriculture Week — Fresh data on Water and Irrigation are presented in a new report. According to news reporting out of Lanzhou, People’s Republic of China, by Verti[……]

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