Gap-filling snow-depth time-series with Kalman Filtering-Smoothing and Expectation Maximization: Proof of concept using spatially dense wireless-sensor-network data-Reference-Cited by-同舟云学术

Gap-filling snow-depth time-series with Kalman Filtering-Smoothing and Expectation Maximization: Proof of concept using spatially dense wireless-sensor-network data

Published:2020-07 Issue: Volume:175 Page:103066
ISSN:0165-232X
Container-title:Cold Regions Science and Technology
language:en
Short-container-title:Cold Regions Science and Technology

Author:

Avanzi Francesco,Zheng Zeshi,Coogan Adam,Rice Robert,Akella Ram,Conklin Martha H.

Funder

National Science Foundation

California Energy Commission

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,Geotechnical Engineering and Engineering Geology

Reference54 articles.

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5. A processing-modeling routine to use SNOTEL hourly data in snowpack dynamic models;Avanzi;Adv. Water Resour.,2014

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