Community development of the snow microwave radiative transfer model for passive, active and altimetry observations of the cryosphere

M. Sandells, G. Picard, H. Löwe, N. Maaß, M. Winstrup, L. Brucker, M. Leduc-Leballeur, F. Larue, J. Aublanc, P. Thibaut, J. Murfitt

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The Snow Microwave Radiative Transfer (SMRT) model was initially developed to explore the sensitivity of microwave scattering to snow microstructure for active and passive remote sensing applications. Here, we discuss the modular design of SMRT that has enabled its rapid extension by the community. SMRT can now represent a layered medium consisting of snow, land ice, lake ice and/or sea ice overlying a substrate of soil, water or parameterized by reflectivity. A time-dependent radiative transfer solution method has also been added to allow for low resolution mode altimetry applications. We illustrate the use of SMRT to simulate brightness temperature for snow on lake ice, backscatter for snow on soil and altimeter waveforms for snow on sea ice.

Original languageEnglish
Title of host publicationIGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
Place of PublicationPiscataway, US
PublisherIEEE
Pages852-855
Number of pages4
Volume2021-July
ISBN (Electronic)9781665403696, 9781665403689
ISBN (Print)9781665447621
DOIs
Publication statusPublished - 11 Jul 2021
Event2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 - Brussels, Belgium
Duration: 12 Jul 202116 Jul 2021

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
PublisherIEEE
Volume2021-July
ISSN (Print)2153-7003
ISSN (Electronic)2153-6996

Conference

Conference2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021
Country/TerritoryBelgium
CityBrussels
Period12/07/2116/07/21

Fingerprint

Dive into the research topics of 'Community development of the snow microwave radiative transfer model for passive, active and altimetry observations of the cryosphere'. Together they form a unique fingerprint.

Cite this