Improving Permafrost Modeling by Assimilating Remotely Sensed Soil Moisture-Reference-Cited by-同舟云学术

Improving Permafrost Modeling by Assimilating Remotely Sensed Soil Moisture

Published:2019-03 Issue:3 Volume:55 Page:1814-1832
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Zwieback S.¹^ORCID,Westermann S.²^ORCID,Langer M.³⁴^ORCID,Boike J.³⁴^ORCID,Marsh P.⁵^ORCID,Berg A.¹^ORCID

Affiliation:

1. Department of GeographyUniversity of Guelph Guelph Ontario Canada

2. Department of GeosciencesUniversity of Oslo Oslo Norway

3. Periglacial ResearchAlfred Wegener Institute Helmholtz Centre for Polar and Marine Research Potsdam Germany

4. Geography DepartmentHumboldt University Berlin Germany

5. Department of GeographyWilfrid Laurier University Waterloo Ontario Canada

Funder

ArcticNet

Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada

Bundesministerium für Bildung und Forschung

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2018WR023247

Reference55 articles.

1. Anders K.(2017).Multitemporal 3D point clouds for thaw subsidence monitoring. Methods for quantifying ground surface displacement in tundra landscapes using Terrestrial Laser Scanning in Trail Valley Creek Canada Ruprecht‐Karls‐Universität Heidelberg.

2. The Representation of Arctic Soils in the Land Surface Model: The Importance of Mosses

3. Climatology and summer energy and water balance of polygonal tundra in the Lena River Delta, Siberia

4. Assessment of polarimetric SAR data for discrimination between wet versus dry soil moisture conditions

5. Carbon stocks and fluxes in the high latitudes: using site-level data to evaluate Earth system models

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