Characterizing Biases in Mountain Snow Accumulation From Global Data Sets-Reference-Cited by-同舟云学术

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Characterizing Biases in Mountain Snow Accumulation From Global Data Sets

Published:2019-11 Issue:11 Volume:55 Page:9873-9891
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Wrzesien Melissa L.¹^ORCID,Pavelsky Tamlin M.¹^ORCID,Durand Michael T.²^ORCID,Dozier Jeff³^ORCID,Lundquist Jessica D.⁴^ORCID

Affiliation:

1. Department of Geological Sciences University of North Carolina at Chapel Hill Chapel Hill NC USA

2. School of Earth Sciences and Byrd Polar and Climate Research Center Ohio State University Columbus OH USA

3. Bren School of Environmental Science and Management University of California Santa Barbara CA USA

4. Civil and Environmental Engineering University of Washington Seattle WA USA

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2019WR025350

Reference86 articles.

1. Validating reconstruction of snow water equivalent in California's Sierra Nevada using measurements from the NASAAirborne Snow Observatory

2. Snow cover distribution as mapped from satellite photography

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

4. BACKGROUND AND APPROACH

5. Anthropogenic warming impacts on California snowpack during drought

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1. Enhanced runoff simulation by precise capture of snowmelt variation signals with satellite-based snow products in a high-elevation basin;Journal of Hydrology;2024-11

2. Evaluating L-band InSAR snow water equivalent retrievals with repeat ground-penetrating radar and terrestrial lidar surveys in northern Colorado;The Cryosphere;2024-08-22

3. Water budget-based evapotranspiration product captures natural and human-caused variability;Environmental Research Letters;2024-08-16

4. Cryosphere–groundwater connectivity is a missing link in the mountain water cycle;Nature Water;2024-07-19

5. Spatial variability in the seasonal precipitation lapse rates in complex topographical regions – application in France;Hydrology and Earth System Sciences;2024-06-18

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