A Bayesian Fuzzy Clustering Approach for Design of Precipitation Gauge Network Using Merged Remote Sensing and Ground‐Based Precipitation Products-Reference-Cited by-同舟云学术

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A Bayesian Fuzzy Clustering Approach for Design of Precipitation Gauge Network Using Merged Remote Sensing and Ground‐Based Precipitation Products

Published:2022-02 Issue:2 Volume:58 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resources Research

Author:

Sreeparvathy Vijay¹,Srinivas V. V.¹²³^ORCID

Affiliation:

1. Department of Civil Engineering Indian Institute of Science Bangalore India

2. Interdisciplinary Center for Water Research (ICWaR) Indian Institute of Science Bangalore India

3. Divecha Centre for Climate Change Indian Institute of Science Bangalore India

Funder

Ministry of Earth Sciences

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021WR030612

Reference78 articles.

1. RF-MEP: A novel Random Forest method for merging gridded precipitation products and ground-based measurements

2. GIS-based optimisation of the hydrometeorological network in Greece

3. MSWEP V2 Global 3-Hourly 0.1° Precipitation: Methodology and Quantitative Assessment

4. Delineation of homogeneous hydrometeorological regions using wavelet-based global fuzzy cluster analysis

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1. Identifying Potential Locations of Hydrologic Monitoring Stations Based on Topographical and Hydrological Information;Water Resources Management;2023-12-02

2. Enhancing runoff simulation precision in the critical zone through spatiotemporal interpolation of areal rainfall with matrix decomposition;Hydrological Processes;2023-11

3. A Modified Stochastic Model for Rainfall Prediction Using Fuzzy Aquila Optimization;International Journal of Computational Intelligence and Applications;2023-08-22

4. Large-scale precipitation monitoring network re-design using ground and satellite datasets: coupled application of geostatistics and meta-heuristic optimization algorithms;Stochastic Environmental Research and Risk Assessment;2023-07-21

5. An Integrated Framework for Spatiotemporally Merging Multi-Sources Precipitation Based on F-SVD and ConvLSTM;Remote Sensing;2023-06-15

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