Quantifying the Spatial Variability of a Snowstorm Using Differential Airborne Lidar-Reference-Cited by-同舟云学术

Quantifying the Spatial Variability of a Snowstorm Using Differential Airborne Lidar

Published:2020-03 Issue:3 Volume:56 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Brandt W. Tyler¹²^ORCID,Bormann Kat J.³^ORCID,Cannon Forest²^ORCID,Deems Jeffrey S.⁴^ORCID,Painter Thomas H.⁵^ORCID,Steinhoff Daniel F.²^ORCID,Dozier Jeff¹^ORCID

Affiliation:

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

2. Center for Western Weather and Water Extremes, Scripps Institution of Oceanography University of California, San Diego La Jolla CA USA

3. Jet Propulsion Laboratory California Institute of Technology Pasadena CA USA

4. National Snow and Ice Data Center Boulder CO USA

5. Joint Institute for Regional Earth System Science and Engineering University of California Los Angeles CA USA

Funder

University of California Research Initiatives

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2019WR025331

Reference94 articles.

1. Relation between Measured Radar Reflectivity and Surface Rainfall

2. Hourly mass and snow energy balance measurements from Mammoth Mountain, CA USA, 2011–2017

3. Using the Airborne Snow Observatory to Assess Remotely Sensed Snowfall Products in the California Sierra Nevada

4. Orographic barriers, high-resolution TRMM rainfall, and relief variations along the eastern Andes

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