Estimation of snow water equivalent using microwave radiometry over Arctic first‐year sea ice
Abstract The magnitude and spatial distribution of snow on sea ice are both integral components of the ocean–sea‐ice–atmosphere system. Although there exists a number of algorithms to estimate the snow water equivalent (SWE) on terrestrial surfaces, to date there is no precise method to estimate SWE...
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crwiley:10.1002/hyp.1305 2024-06-02T07:58:09+00:00 Estimation of snow water equivalent using microwave radiometry over Arctic first‐year sea ice Barber, D. G. Iacozza, J. Walker, A. E. 2003 http://dx.doi.org/10.1002/hyp.1305 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fhyp.1305 https://onlinelibrary.wiley.com/doi/pdf/10.1002/hyp.1305 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Hydrological Processes volume 17, issue 17, page 3503-3517 ISSN 0885-6087 1099-1085 journal-article 2003 crwiley https://doi.org/10.1002/hyp.1305 2024-05-03T11:13:26Z Abstract The magnitude and spatial distribution of snow on sea ice are both integral components of the ocean–sea‐ice–atmosphere system. Although there exists a number of algorithms to estimate the snow water equivalent (SWE) on terrestrial surfaces, to date there is no precise method to estimate SWE on sea ice. Physical snow properties and in situ microwave radiometry at 19, 37 and 85 GHz, V and H polarization were collected for a 10‐day period over 20 first‐year sea ice sites. We present and compare the in situ physical, electrical and microwave emission properties of snow over smooth Arctic first‐year sea ice for 19 of the 20 sites sampled. Physical processes creating the observed vertical patterns in the physical and electrical properties are discussed. An algorithm is then developed from the relationship between the SWE and the brightness temperature measured at 37 GHz (55°) H polarization and the air temperature. The multiple regression between these variables is able to account for over 90% of the variability in the measured SWE. This algorithm is validated with a small in situ data set collected during the 1999 field experiment. We then compare our data against the NASA snow thickness algorithm, designed as part of the NASA Earth Enterprise Program. The results indicated a lack of agreement between the NASA algorithm and the algorithm developed here. This lack of agreement is attributed to differences in scale between the Special Sensor Microwave/Imager and surface radiometers and to differences in the Antarctic versus Arctic snow physical and electrical properties. Copyright © 2003 John Wiley & Sons, Ltd. Article in Journal/Newspaper Antarc* Antarctic Arctic Sea ice Wiley Online Library Antarctic Arctic The Antarctic Hydrological Processes 17 17 3503 3517 |
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English |
description |
Abstract The magnitude and spatial distribution of snow on sea ice are both integral components of the ocean–sea‐ice–atmosphere system. Although there exists a number of algorithms to estimate the snow water equivalent (SWE) on terrestrial surfaces, to date there is no precise method to estimate SWE on sea ice. Physical snow properties and in situ microwave radiometry at 19, 37 and 85 GHz, V and H polarization were collected for a 10‐day period over 20 first‐year sea ice sites. We present and compare the in situ physical, electrical and microwave emission properties of snow over smooth Arctic first‐year sea ice for 19 of the 20 sites sampled. Physical processes creating the observed vertical patterns in the physical and electrical properties are discussed. An algorithm is then developed from the relationship between the SWE and the brightness temperature measured at 37 GHz (55°) H polarization and the air temperature. The multiple regression between these variables is able to account for over 90% of the variability in the measured SWE. This algorithm is validated with a small in situ data set collected during the 1999 field experiment. We then compare our data against the NASA snow thickness algorithm, designed as part of the NASA Earth Enterprise Program. The results indicated a lack of agreement between the NASA algorithm and the algorithm developed here. This lack of agreement is attributed to differences in scale between the Special Sensor Microwave/Imager and surface radiometers and to differences in the Antarctic versus Arctic snow physical and electrical properties. Copyright © 2003 John Wiley & Sons, Ltd. |
format |
Article in Journal/Newspaper |
author |
Barber, D. G. Iacozza, J. Walker, A. E. |
spellingShingle |
Barber, D. G. Iacozza, J. Walker, A. E. Estimation of snow water equivalent using microwave radiometry over Arctic first‐year sea ice |
author_facet |
Barber, D. G. Iacozza, J. Walker, A. E. |
author_sort |
Barber, D. G. |
title |
Estimation of snow water equivalent using microwave radiometry over Arctic first‐year sea ice |
title_short |
Estimation of snow water equivalent using microwave radiometry over Arctic first‐year sea ice |
title_full |
Estimation of snow water equivalent using microwave radiometry over Arctic first‐year sea ice |
title_fullStr |
Estimation of snow water equivalent using microwave radiometry over Arctic first‐year sea ice |
title_full_unstemmed |
Estimation of snow water equivalent using microwave radiometry over Arctic first‐year sea ice |
title_sort |
estimation of snow water equivalent using microwave radiometry over arctic first‐year sea ice |
publisher |
Wiley |
publishDate |
2003 |
url |
http://dx.doi.org/10.1002/hyp.1305 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fhyp.1305 https://onlinelibrary.wiley.com/doi/pdf/10.1002/hyp.1305 |
geographic |
Antarctic Arctic The Antarctic |
geographic_facet |
Antarctic Arctic The Antarctic |
genre |
Antarc* Antarctic Arctic Sea ice |
genre_facet |
Antarc* Antarctic Arctic Sea ice |
op_source |
Hydrological Processes volume 17, issue 17, page 3503-3517 ISSN 0885-6087 1099-1085 |
op_rights |
http://onlinelibrary.wiley.com/termsAndConditions#vor |
op_doi |
https://doi.org/10.1002/hyp.1305 |
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Hydrological Processes |
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17 |
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17 |
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3503 |
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3517 |
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