TRMM 数据批量下载详细流程

Update: daily的数据其实是三小时数据的累加,累加的时间段如下:

FileHeader     = ‘StartGranuleDateTime=1998-07-18T01:30:00.000Z;

                            StopGranuleDateTime=1998-07-19T01:29:59.999Z’

因此,这个数据有一定的时差,比如在中国,用的是UTC8时区,比UTC0早8小时,因此上面对应的时间段在中国相当于如下:

FileHeader     = ‘StartGranuleDateTime=1998-07-18T09:30:00.000UTC8;

                      &nb[……]

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WRR Comment:基于有限理性假设的农民行为分析

Comment on “Exploring the Influence of Smallholders’ Perceptions Regarding Water Availability on Crop Choice and Water Allocation Through Socio‐Hydrological Modeling” by Kuil et al. [Water Resource Research, 54, 2580–2604]

First published: 08 March 2019
A paper has recently been published in Water Resources Research, which explored the influence of smallholder’s perceptions regarding water availability on crop choice and water[……]

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AGWM效率悖论文章

Published in Agricultural Water Management

Ling Zhang, Qimin Ma, Yanbo Zhao et al.

ABSTRACT: Improving irrigation efficiency is widely believed to be a promising opportunity for large water savings. However, more and more voices have been raised against this idea in recent years. This study investigated the impacts of irrigation efficiency improvement on water use and consumption by combining an agro-economic model with the conceptualization of hydrological pathways. The investigation was[……]

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HP水文影响分离文章

Published in Hydrological Processes

https://onlinelibrary.wiley.com/doi/abs/10.1002/hyp.13331

Separating climate change and human contributions to variations in streamflow and its components using eight time‐trend methods

Ling Zhang,  Zhuotong Nan, Weizhen Wang, et al.

Abstract

Separating impacts of human activities and climate change on hydrology is essential for watershed and ecosystem management. Many previous studies have focused on the impacts on total streamflow, however, with lit[……]

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Matlab codes for two breakpoint checken

(1)  累计距平均

data=xlsread(‘test.xlsx’);

data(:,1)=[];

mean_data=mean(data);

diff_streamflow=data(:,1)-mean_data(1);

diff_baseflow=data(:,2)-mean_data(2);

diff_surfq=data(:,3)-mean_data(3);

Sum_streamflow_anomaly=zeros(55,1);

Sum_baseflow_anomaly=zeros(55,1);

Sum_surfq_anomaly=zeros(55,1);

for i=1:55;

Sum_streamflow_anomaly(i)=sum(diff_streamflow(1:i));

Sum_baseflow_anomaly(i)=sum(diff_baseflow(1:i));

Sum_surfq_anomaly(i)=sum(diff_surfq(1:i));

end

years=[……]

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A paper published in JoH

Application of the MacCormack scheme to overland flow routing for high-spatial resolution distributed hydrological model

Although process-based distributed hydrological models (PDHMs) are evolving rapidly over the last few decades, their extensive applications are still challenged by the computational expenses. This study attempted, for the first time, to apply the numerically efficient MacCormack algorithm to ov[……]

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A paper published in STOTEN

Comparison of baseline period choices for separating climate and land use/land cover change impacts on watershed hydrology using distributed hydrological models

  • Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
  • Ministry of Education Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Nanj[……]

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