Spatiotemporal snow cover characterization and its linkage with climate change over the Chenab river basin, western Himalayas-Reference-Cited by-同舟云学术

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Spatiotemporal snow cover characterization and its linkage with climate change over the Chenab river basin, western Himalayas

Published:2020-10-02 Issue:7 Volume:57 Page:882-906
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Dharpure Jaydeo K.¹,Patel Akansha¹,Goswami Ajanta¹²,Kulkarni Anil V.³,Snehmani ⁴

Affiliation:

1. Centre of Excellence in Disaster Mitigation and Management (CoEDMM), Indian Institute of Technology, Roorkee, India

2. Department of Earth Sciences, Indian Institute of Technology, Roorkee, India

3. Divecha Center for Climate Change, Indian Institute of Science (IISc), Bangalore, India

4. Snow & Avalanche Study Establishment (SASE), Defence Research & Development Organisation (DRDO), Ministry of Defence, Chandigarh, India

Funder

the National Centre for Polar and Ocean Research, Goa, India

Indian Institute of Technology, Roorkee, India

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2020.1821150

Reference104 articles.

1. Quantification of spatial temporal variability of snow cover and hydro-climatic variables based on multi-source remote sensing data in the Swat watershed, Hindukush Mountains, Pakistan

2. Snow and glacier melt runoff simulation under variable altitudes and climate scenarios in Gilgit River Basin, Karakoram region

3. Impacts of changing climate and snow cover on the flow regime of Jhelum River, Western Himalayas

4. Potential impacts of a warming climate on water availability in snow-dominated regions

5. Long-term trends in maximum, minimum and mean annual air temperatures across the Northwestern Himalaya during the twentieth century

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5. Integrated modeling of snow-covered areas and hydrological processes in the Larji Sub-Basin, Himachal Pradesh, India, using SRM and SWAT models;Water Practice & Technology;2024-03-19

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