ICE-MOD: Improving the sea ice low frequency microwave emission models

Presentation of Research Projects initiated in 2020 at ICM - 3rd session The information provided by remote sensing platforms on sea ice thickness and snow depth is crucial to understand the changes that the Arctic is facing under the threat of climate change, and in particular to study the evolutio...

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Bibliographic Details
Main Author: GabarrĂ³, Carolina
Format: Other/Unknown Material
Language:English
Published: CSIC - Instituto de Ciencias del Mar (ICM) 2021
Subjects:
Online Access:http://hdl.handle.net/10261/247498
Description
Summary:Presentation of Research Projects initiated in 2020 at ICM - 3rd session The information provided by remote sensing platforms on sea ice thickness and snow depth is crucial to understand the changes that the Arctic is facing under the threat of climate change, and in particular to study the evolution of sea ice mass and sea ice balance. There is the consensus that better models for sea ice and snow microwave emission are needed to achieve reliable estimates of thin sea ice thickness and snow depth from radiometry, since remote sensing platforms are the only way to grant continuous, wide area monitoring in the Arctic. MOSAIC offered a great and unique opportunity to fill this gap. Our experimental approach was the following: A light and small L-band radiometers (ARIEL) was mounted on a sled, permitting to measure under different ice conditions and targets. Many routinely in situ acquisitions were performed simultaneously. All these measurements will allow us to improve the emissivity for sea ice and snow Peer reviewed