Integrating precipitation zoning with random forest regression for the spatial downscaling of satellite‐based precipitation: A case study of the Lancang–Mekong River basin

2019 ◽  
Vol 39 (10) ◽  
pp. 3947-3961 ◽  
Author(s):  
Jing Zhang ◽  
Hui Fan ◽  
Daming He ◽  
Jiwei Chen
2017 ◽  
Vol 9 (12) ◽  
pp. 1238 ◽  
Author(s):  
Eva Boergens ◽  
Karina Nielsen ◽  
Ole Andersen ◽  
Denise Dettmering ◽  
Florian Seitz

2020 ◽  
Author(s):  
Richard Grünwald ◽  
Yan Feng ◽  
Wenling Wang

<p>The presented paper examines current dilemmas in transboundary water interaction and debates about the reconceptualization of the Transboundary Water Interaction Nexus (TWINS). The new TWINS framework provides a theoretical alternative how to (1) evaluate the interstate relations between two or more actors regardless their legal status; (2) calculate the transboundary water interaction based on process tracing analysis rather than milestone analysis; (3) distinguish more intensities of cooperation and conflict, (4) clarify broader hydropolitical context in transboundary water interaction, and (5) debate about dual water event phenomenon where one event may possess both cooperation and conflict features. Currently, the new TWINS model serves as an indicator for evaluating cooperation and conflict intensity of water-related events in the Lancang-Mekong River Basin. The data are then recorded in the Lancang-Mekong Cooperation and Conflict Database (LMCCD) designed by authors which already comprise more than 1600 water-related events in the last 30 years (1990-2020). To proof the viability of the presented concept, we will illustrate the new TWINS model on a case study related to the Xayaburi hydropower dam. Although there are still several methodological limitations, the new TWINS model can be adapted to any interstate water-related issue and be able to fill the information gaps about the interdisciplinary understanding of the transboundary water interaction.</p>


2021 ◽  
Vol 13 (23) ◽  
pp. 4831
Author(s):  
Senlin Tang ◽  
Hong Wang ◽  
Yao Feng ◽  
Qinghua Liu ◽  
Tingting Wang ◽  
...  

Terrestrial water storage (TWS) is a critical variable in the global hydrological cycle. The TWS estimates derived from the Gravity Recovery and Climate Experiment (GRACE) allow us to better understand water exchanges between the atmosphere, land surface, sea, and glaciers. However, missing historical (pre-2002) GRACE data limit their further application. In this study, we developed a random forest (RF) model to reconstruct the monthly terrestrial water storage anomaly (TWSA) time series using Global Land Data Assimilation System (GLDAS) and Climatic Research Unit (CRU) data for the Lancang-Mekong River basin. The results show that the RF-built TWSA time series agrees well with the GRACE TWSA time series for 2003–2014, showing that correlation coefficients (R) of 0.97 and 0.90 at the basin and grid scales, respectively, which demonstrates the reliability of the RF model. Furthermore, this method is used to reconstruct the historical TWSA time series for 1980–2002. Moreover, the discharge can be obtained by subtracting the evapotranspiration (ET) and RF-built terrestrial water storage change (TWSC) from the precipitation. The comparison between the discharge calculated from the water balance method and the observed discharge showed significant consistency, with a correlation coefficient of 0.89 for 2003–2014 but a slightly lower correlation coefficient (0.86) for 1980–2002. The methods and findings in this study can provide an effective means of reconstructing the TWSA and discharge time series in basins with sparse hydrological data.


2014 ◽  
Vol 45 ◽  
pp. 148-159 ◽  
Author(s):  
Günther Grill ◽  
Camille Ouellet Dallaire ◽  
Etienne Fluet Chouinard ◽  
Nikolai Sindorf ◽  
Bernhard Lehner

2016 ◽  
Vol 149 (1) ◽  
pp. 13-27 ◽  
Author(s):  
Bikesh Shrestha ◽  
Shreedhar Maskey ◽  
Mukand S. Babel ◽  
Ann van Griensven ◽  
Stefan Uhlenbrook

2007 ◽  
Vol 21 (9) ◽  
pp. 1223-1237 ◽  
Author(s):  
Dushmanta Dutta ◽  
Jahangir Alam ◽  
Kazuo Umeda ◽  
Masayoshi Hayashi ◽  
Sadayuki Hironaka

2018 ◽  
Vol 33 (4) ◽  
pp. 547-559 ◽  
Author(s):  
Truong Thao Sam ◽  
Dao Nguyen Khoi ◽  
Nguyen Thi Thanh Thao ◽  
Pham Thi Thao Nhi ◽  
Nguyen Trong Quan ◽  
...  

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