Articles | Volume 16, issue 9
https://doi.org/10.5194/tc-16-3531-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-16-3531-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Review article
| 
02 Sep 2022
Review article |
| 02 Sep 2022
| 02 Sep 2022
Review article: Global monitoring of snow water equivalent using high-frequency radar remote sensing
Department of Electrical Engineering and Computer Science,
University of Michigan, Ann Arbor, MI 48109, USA
Michael Durand
Byrd Polar and Climate Research
Center, School of Earth Sciences, The Ohio State University, Columbus, OH 43210, USA
Chris Derksen
Climate Research Division, Environment and Climate Change Canada,
Toronto, Canada
Ana P. Barros
Civil and Environmental Engineering, University of Illinois at
Urbana-Champaign, Urbana, IL, USA
Do-Hyuk Kang
ESSIC, University of Maryland, College Park, MD 20740, USA
Hans Lievens
Division of Soil and Water Management, KU Leuven, Leuven, Belgium
Hans-Peter Marshall
Department of Geoscience, Boise State University, Boise, Idaho, USA
Jiyue Zhu
Department of Electrical Engineering and Computer Science,
University of Michigan, Ann Arbor, MI 48109, USA
Joel Johnson
Department of Electrical and Computer Engineering, The Ohio State
University, Columbus, OH 43212 USA
Joshua King
Climate Research Division, Environment and Climate Change Canada,
Toronto, Canada
Juha Lemmetyinen
Arctic Research Centre, Finnish Meteorological Institute, Helsinki,
Finland
Melody Sandells
Geography and Environmental Sciences, Northumbria University,
Newcastle, UK
Nick Rutter
Geography and Environmental Sciences, Northumbria University,
Newcastle, UK
Paul Siqueira
Electrical and Computer Engineering, University of Massachusetts,
Amherst, MA, USA
Anne Nolin
Department of Geography, University of Nevada-Reno, Reno, NV, USA
Batu Osmanoglu
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Carrie Vuyovich
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Edward Kim
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Drew Taylor
Remote Sensing Center, University of Alabama, Tuscaloosa, AL, USA
Ioanna Merkouriadi
Arctic Research Centre, Finnish Meteorological Institute, Helsinki,
Finland
Ludovic Brucker
Center for Satellite Applications and Research, NOAA/NESDIS, the
US National Ice Center, College Park, MD, USA
Mahdi Navari
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Marie Dumont
Centre d'Etudes de la Neige, Météo-France, Grenoble, France
Richard Kelly
Department of Geography and Environmental Management, University
of Waterloo, Waterloo, Canada
Rhae Sung Kim
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Tien-Hao Liao
Jet Propulsion Laboratory, California Institute of Technology, Pasedena, CA, USA
Firoz Borah
Department of Electrical Engineering and Computer Science,
University of Michigan, Ann Arbor, MI 48109, USA
Xiaolan Xu
Jet Propulsion Laboratory, California Institute of Technology, Pasedena, CA, USA
Data sets
Airborne SnowSAR data at X- and Ku- bands over boreal forest, alpine and tundra snow cover Juha Lemmetyinen, Juval Cohen, Anna Kontu, Juho Vehviläinen, Henna-Reetta Hannula, Leena Leppänen, Ioanna Merkouriadi, Stefan Scheiblauer, Helmut Rott, Thomas Nagler, Elisabeth Ripper, Kelly Elder, Hans-Peter Marshall, Reinhard Fromm, Marc S. Adams, Chris Derksen, Joshua King, Peter Toose, Arvids Siliis, Nick Rutter, Adriano Meta, and Alex Coccia https://doi.pangaea.de/10.1594/PANGAEA.933255
Short summary
Snow water equivalent (SWE) is of fundamental importance to water, energy, and geochemical cycles but is poorly observed globally. Synthetic aperture radar (SAR) measurements at X- and Ku-band can address this gap. This review serves to inform the broad snow research, monitoring, and application communities about the progress made in recent decades to move towards a new satellite mission capable of addressing the needs of the geoscience researchers and users.
Snow water equivalent (SWE) is of fundamental importance to water, energy, and geochemical...
