Retrieval of Snow Depth on Arctic Sea Ice From Surface‐Based, Polarimetric, Dual‐Frequency Radar Altimetry

Author:

Willatt Rosemary1ORCID,Stroeve Julienne C.123ORCID,Nandan Vishnu34ORCID,Newman Thomas1,Mallett Robbie13ORCID,Hendricks Stefan5ORCID,Ricker Robert6ORCID,Mead James7,Itkin Polona8,Tonboe Rasmus9,Wagner David N.1011ORCID,Spreen Gunnar12ORCID,Liston Glen13ORCID,Schneebeli Martin10ORCID,Krampe Daniela5ORCID,Tsamados Michel1ORCID,Demir Oguz14,Wilkinson Jeremy15,Jaggi Matthias10,Zhou Lu16ORCID,Huntemann Marcus12,Raphael Ian A.17,Jutila Arttu518ORCID,Oggier Marc19ORCID

Affiliation:

1. Centre for Polar Observation and Modelling Earth Sciences University College London London UK

2. National Snow and Ice Data Center University of Colorado Boulder CO USA

3. Centre for Earth Observation Science University of Manitoba Winnipeg MB Canada

4. Cryosphere Climate Research Group University of Calgary Calgary AB Canada

5. Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research Bremerhaven Germany

6. NORCE Norwegian Research Centre Tromsø Norway

7. ProSensing Amherst MA USA

8. Department of Physics and Technology UiT The Arctic University of Norway Tromsø Norway

9. Technical University of Denmark Lyngby Denmark

10. WSL Institute for Snow and Avalanche Research SLF Davos Dorf Switzerland

11. CRYOS School of Architecture, Civil and Environmental Engineering EPFL Lausanne Switzerland

12. Institute of Environmental Physics University of Bremen Bremen Germany

13. Cooperative Institute for Research in the Atmosphere Colorado State University Fort Collins CO USA

14. ElectroScience Laboratory The Ohio State University Columbus OH USA

15. British Antarctic Survey Cambridge UK

16. Department of Earth Sciences University of Gothenburg Gothenburg Sweden

17. Thayer School of Engineering Dartmouth College Hanover NH USA

18. Finnish Meteorological Institute Helsinki Finland

19. International Arctic Research Center University of Alaska Fairbanks Fairbanks AK USA

Abstract

AbstractSnow depth on sea ice is an Essential Climate Variable and a major source of uncertainty in satellite altimetry‐derived sea ice thickness. During winter of the MOSAiC Expedition, the “KuKa” dual‐frequency, fully polarized Ku‐ and Ka‐band radar was deployed in “stare” nadir‐looking mode to investigate the possibility of combining these two frequencies to retrieve snow depth. Three approaches were investigated: dual‐frequency, dual‐polarization and waveform shape, and compared to independent snow depth measurements. Novel dual‐polarization approaches yielded r2 values up to 0.77. Mean snow depths agreed within 1 cm, even for data sub‐banded to CryoSat‐2 SIRAL and SARAL AltiKa bandwidths. Snow depths from co‐polarized dual‐frequency approaches were at least a factor of four too small and had a r2 0.15 or lower. r2 for waveform shape techniques reached 0.72 but depths were underestimated. Snow depth retrievals using polarimetric information or waveform shape may therefore be possible from airborne/satellite radar altimeters.

Funder

Natural Environment Research Council

HORIZON EUROPE European Research Council

European Space Agency

Swiss Polar Institute

National Science Foundation

Deutsche Forschungsgemeinschaft

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Geophysics

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Investigating Liquid Sources on Arctic Sea Ice and Their Effect in Remote Sensing Observations;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

2. Arctic Freeboard and Snow Depth From Near‐Coincident CryoSat‐2 and ICESat‐2 (CRYO2ICE) Observations: A First Examination of Winter Sea Ice During 2020–2022;Earth and Space Science;2024-04

3. Snow on sea ice;Reference Module in Earth Systems and Environmental Sciences;2024

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