Spatial pattern‐based performance evaluation and uncertainty analysis of a distributed hydrological model-Reference-Cited by-同舟云学术

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Spatial pattern‐based performance evaluation and uncertainty analysis of a distributed hydrological model

Published:2022-05 Issue:5 Volume:36 Page:
ISSN:0885-6087
Container-title:Hydrological Processes
language:en
Short-container-title:Hydrological Processes

Author:

Gaur Srishti¹^ORCID,Singh Bhupendra¹,Bandyopadhyay Arnab²^ORCID,Stisen Simon³^ORCID,Singh Rajendra¹

Affiliation:

1. Agricultural and Food Engineering Indian Institute of Technology Kharagpur Kharagpur West Bengal India

2. Department of Agricultural Engineering North Eastern Regional Institute of Science and Technology Itanagar Arunachal Pradesh India

3. Department of Hydrology Geological Survey of Denmark and Greenland Copenhagen Denmark

Publisher

Wiley

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/hyp.14586

Reference51 articles.

1. Selection of multi-model ensemble of general circulation models for the simulation of precipitation and maximum and minimum temperature based on spatial assessment metrics

2. How far can we go in distributed hydrological modelling?

3. Spatio-temporal trends of rainfall across Indian river basins

4. Impact of AVHRR filter functions on surface temperature estimation from the split window approach

5. Improving the Predictive Skill of a Distributed Hydrological Model by Calibration on Spatial Patterns With Multiple Satellite Data Sets

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1. Toward robust pattern similarity metric for distributed model evaluation;Stochastic Environmental Research and Risk Assessment;2024-09-02

2. Evaluating hydrological responses of satellite precipitation products over an Indian tropical catchment through a distributed physical model;Hydrological Processes;2024-09

3. Remote sensing evapotranspiration in ensemble-based framework to enhance cascade routing and re-infiltration concept in integrated hydrological model applied to support decision making;Journal of Hydrology;2024-06

4. Remote sensing and hydrogeophysics give a new impetus to integrated hydrological models: A review;Journal of Hydrology;2024-04

5. Integrated Modelling Systems;Water Science and Technology Library;2024

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