Possibility of Estimating Seasonal Snow Depth Based Solely on Passive Microwave Remote Sensing on the Greenland Ice Sheet in Spring
Sea level rise related to the melting and thinning of the Greenland Ice Sheet (GrIS), a subject of growing concern in recent years, will eventually affect the global climate. Although the melting of snow on the GrIS is actively monitored by passive microwave remote sensing, very few studies have est...
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Online Access: | https://doi.org/10.3390/rs9060523 https://doaj.org/article/5c3efb90ef994905854827ce7fd9c803 |
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ftdoajarticles:oai:doaj.org/article:5c3efb90ef994905854827ce7fd9c803 2023-05-15T16:26:52+02:00 Possibility of Estimating Seasonal Snow Depth Based Solely on Passive Microwave Remote Sensing on the Greenland Ice Sheet in Spring Hiroyuki Tsutsui Takashi Maeda 2017-05-01T00:00:00Z https://doi.org/10.3390/rs9060523 https://doaj.org/article/5c3efb90ef994905854827ce7fd9c803 EN eng MDPI AG http://www.mdpi.com/2072-4292/9/6/523 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs9060523 https://doaj.org/article/5c3efb90ef994905854827ce7fd9c803 Remote Sensing, Vol 9, Iss 6, p 523 (2017) seasonal snow depth Greenland Ice Sheet passive microwave remote sensing AMSR-E AMSR2 Science Q article 2017 ftdoajarticles https://doi.org/10.3390/rs9060523 2022-12-31T15:12:25Z Sea level rise related to the melting and thinning of the Greenland Ice Sheet (GrIS), a subject of growing concern in recent years, will eventually affect the global climate. Although the melting of snow on the GrIS is actively monitored by passive microwave remote sensing, very few studies have estimated the seasonal GrIS snow depth using this technique. In this study, to estimate seasonal snowpack on GrIS, we investigated the microwave property and optimum physical parameters. We used our microwave radiative transfer model to create a lookup table and a simple satellite retrieval algorithm to estimate seasonal snow depth on GrIS in spring, based on the microwave satellite brightness temperature from AMSR-E and AMSR2. Our research suggests there is potential for estimating snow depth based solely on GrIS passive microwave remote sensing data. We validated these estimates against in situ snow depths at several sites and compared them with the snow spatial distributions over the entire GrIS of several major products (ERA-interim, MAR ver. 5.3.1 and GLDAS-CLM) that evaluate snow depth. Article in Journal/Newspaper Greenland Ice Sheet Directory of Open Access Journals: DOAJ Articles Greenland Remote Sensing 9 6 523 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
seasonal snow depth Greenland Ice Sheet passive microwave remote sensing AMSR-E AMSR2 Science Q |
spellingShingle |
seasonal snow depth Greenland Ice Sheet passive microwave remote sensing AMSR-E AMSR2 Science Q Hiroyuki Tsutsui Takashi Maeda Possibility of Estimating Seasonal Snow Depth Based Solely on Passive Microwave Remote Sensing on the Greenland Ice Sheet in Spring |
topic_facet |
seasonal snow depth Greenland Ice Sheet passive microwave remote sensing AMSR-E AMSR2 Science Q |
description |
Sea level rise related to the melting and thinning of the Greenland Ice Sheet (GrIS), a subject of growing concern in recent years, will eventually affect the global climate. Although the melting of snow on the GrIS is actively monitored by passive microwave remote sensing, very few studies have estimated the seasonal GrIS snow depth using this technique. In this study, to estimate seasonal snowpack on GrIS, we investigated the microwave property and optimum physical parameters. We used our microwave radiative transfer model to create a lookup table and a simple satellite retrieval algorithm to estimate seasonal snow depth on GrIS in spring, based on the microwave satellite brightness temperature from AMSR-E and AMSR2. Our research suggests there is potential for estimating snow depth based solely on GrIS passive microwave remote sensing data. We validated these estimates against in situ snow depths at several sites and compared them with the snow spatial distributions over the entire GrIS of several major products (ERA-interim, MAR ver. 5.3.1 and GLDAS-CLM) that evaluate snow depth. |
format |
Article in Journal/Newspaper |
author |
Hiroyuki Tsutsui Takashi Maeda |
author_facet |
Hiroyuki Tsutsui Takashi Maeda |
author_sort |
Hiroyuki Tsutsui |
title |
Possibility of Estimating Seasonal Snow Depth Based Solely on Passive Microwave Remote Sensing on the Greenland Ice Sheet in Spring |
title_short |
Possibility of Estimating Seasonal Snow Depth Based Solely on Passive Microwave Remote Sensing on the Greenland Ice Sheet in Spring |
title_full |
Possibility of Estimating Seasonal Snow Depth Based Solely on Passive Microwave Remote Sensing on the Greenland Ice Sheet in Spring |
title_fullStr |
Possibility of Estimating Seasonal Snow Depth Based Solely on Passive Microwave Remote Sensing on the Greenland Ice Sheet in Spring |
title_full_unstemmed |
Possibility of Estimating Seasonal Snow Depth Based Solely on Passive Microwave Remote Sensing on the Greenland Ice Sheet in Spring |
title_sort |
possibility of estimating seasonal snow depth based solely on passive microwave remote sensing on the greenland ice sheet in spring |
publisher |
MDPI AG |
publishDate |
2017 |
url |
https://doi.org/10.3390/rs9060523 https://doaj.org/article/5c3efb90ef994905854827ce7fd9c803 |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Greenland Ice Sheet |
genre_facet |
Greenland Ice Sheet |
op_source |
Remote Sensing, Vol 9, Iss 6, p 523 (2017) |
op_relation |
http://www.mdpi.com/2072-4292/9/6/523 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs9060523 https://doaj.org/article/5c3efb90ef994905854827ce7fd9c803 |
op_doi |
https://doi.org/10.3390/rs9060523 |
container_title |
Remote Sensing |
container_volume |
9 |
container_issue |
6 |
container_start_page |
523 |
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1766015874903310336 |