Retrieval of Effective Correlation Length and Snow Water Equivalent from Radar and Passive Microwave Measurements

Current methods for retrieving SWE (snow water equivalent) from space rely on passive microwave sensors. Observations are limited by poor spatial resolution, ambiguities related to separation of snow microstructural properties from the total snow mass, and signal saturation when snow is deep (~>8...

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Published in:Remote Sensing
Main Authors: Juha Lemmetyinen, Chris Derksen, Helmut Rott, Giovanni Macelloni, Josh King, Martin Schneebeli, Andreas Wiesmann, Leena Leppänen, Anna Kontu, Jouni Pulliainen
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2018
Subjects:
Q
Online Access:https://doi.org/10.3390/rs10020170
https://doaj.org/article/01719e1cb6af487eb5577e9d6494b5cc
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spelling ftdoajarticles:oai:doaj.org/article:01719e1cb6af487eb5577e9d6494b5cc 2023-05-15T17:42:49+02:00 Retrieval of Effective Correlation Length and Snow Water Equivalent from Radar and Passive Microwave Measurements Juha Lemmetyinen Chris Derksen Helmut Rott Giovanni Macelloni Josh King Martin Schneebeli Andreas Wiesmann Leena Leppänen Anna Kontu Jouni Pulliainen 2018-01-01T00:00:00Z https://doi.org/10.3390/rs10020170 https://doaj.org/article/01719e1cb6af487eb5577e9d6494b5cc EN eng MDPI AG http://www.mdpi.com/2072-4292/10/2/170 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs10020170 https://doaj.org/article/01719e1cb6af487eb5577e9d6494b5cc Remote Sensing, Vol 10, Iss 2, p 170 (2018) snow water equivalent passive microwave radar snow correlation length Science Q article 2018 ftdoajarticles https://doi.org/10.3390/rs10020170 2022-12-31T11:26:50Z Current methods for retrieving SWE (snow water equivalent) from space rely on passive microwave sensors. Observations are limited by poor spatial resolution, ambiguities related to separation of snow microstructural properties from the total snow mass, and signal saturation when snow is deep (~>80 cm). The use of SAR (Synthetic Aperture Radar) at suitable frequencies has been suggested as a potential observation method to overcome the coarse resolution of passive microwave sensors. Nevertheless, suitable sensors operating from space are, up to now, unavailable. Active microwave retrievals suffer, however, from the same difficulties as the passive case in separating impacts of scattering efficiency from those of snow mass. In this study, we explore the potential of applying active (radar) and passive (radiometer) microwave observations in tandem, by using a dataset of co-incident tower-based active and passive microwave observations and detailed in situ data from a test site in Northern Finland. The dataset spans four winter seasons with daily coverage. In order to quantify the temporal variability of snow microstructure, we derive an effective correlation length for the snowpack (treated as a single layer), which matches the simulated microwave response of a semi-empirical radiative transfer model to observations. This effective parameter is derived from radiometer and radar observations at different frequencies and frequency combinations (10.2, 13.3 and 16.7 GHz for radar; 10.65, 18.7 and 37 GHz for radiometer). Under dry snow conditions, correlations are found between the effective correlation length retrieved from active and passive measurements. Consequently, the derived effective correlation length from passive microwave observations is applied to parameterize the retrieval of SWE using radar, improving retrieval skill compared to a case with no prior knowledge of snow-scattering efficiency. The same concept can be applied to future radar satellite mission concepts focused on retrieving SWE, exploiting ... Article in Journal/Newspaper Northern Finland Directory of Open Access Journals: DOAJ Articles Remote Sensing 10 2 170
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic snow water equivalent
passive microwave
radar
snow correlation length
Science
Q
spellingShingle snow water equivalent
passive microwave
radar
snow correlation length
Science
Q
Juha Lemmetyinen
Chris Derksen
Helmut Rott
Giovanni Macelloni
Josh King
Martin Schneebeli
Andreas Wiesmann
Leena Leppänen
Anna Kontu
Jouni Pulliainen
Retrieval of Effective Correlation Length and Snow Water Equivalent from Radar and Passive Microwave Measurements
topic_facet snow water equivalent
passive microwave
radar
snow correlation length
Science
Q
description Current methods for retrieving SWE (snow water equivalent) from space rely on passive microwave sensors. Observations are limited by poor spatial resolution, ambiguities related to separation of snow microstructural properties from the total snow mass, and signal saturation when snow is deep (~>80 cm). The use of SAR (Synthetic Aperture Radar) at suitable frequencies has been suggested as a potential observation method to overcome the coarse resolution of passive microwave sensors. Nevertheless, suitable sensors operating from space are, up to now, unavailable. Active microwave retrievals suffer, however, from the same difficulties as the passive case in separating impacts of scattering efficiency from those of snow mass. In this study, we explore the potential of applying active (radar) and passive (radiometer) microwave observations in tandem, by using a dataset of co-incident tower-based active and passive microwave observations and detailed in situ data from a test site in Northern Finland. The dataset spans four winter seasons with daily coverage. In order to quantify the temporal variability of snow microstructure, we derive an effective correlation length for the snowpack (treated as a single layer), which matches the simulated microwave response of a semi-empirical radiative transfer model to observations. This effective parameter is derived from radiometer and radar observations at different frequencies and frequency combinations (10.2, 13.3 and 16.7 GHz for radar; 10.65, 18.7 and 37 GHz for radiometer). Under dry snow conditions, correlations are found between the effective correlation length retrieved from active and passive measurements. Consequently, the derived effective correlation length from passive microwave observations is applied to parameterize the retrieval of SWE using radar, improving retrieval skill compared to a case with no prior knowledge of snow-scattering efficiency. The same concept can be applied to future radar satellite mission concepts focused on retrieving SWE, exploiting ...
format Article in Journal/Newspaper
author Juha Lemmetyinen
Chris Derksen
Helmut Rott
Giovanni Macelloni
Josh King
Martin Schneebeli
Andreas Wiesmann
Leena Leppänen
Anna Kontu
Jouni Pulliainen
author_facet Juha Lemmetyinen
Chris Derksen
Helmut Rott
Giovanni Macelloni
Josh King
Martin Schneebeli
Andreas Wiesmann
Leena Leppänen
Anna Kontu
Jouni Pulliainen
author_sort Juha Lemmetyinen
title Retrieval of Effective Correlation Length and Snow Water Equivalent from Radar and Passive Microwave Measurements
title_short Retrieval of Effective Correlation Length and Snow Water Equivalent from Radar and Passive Microwave Measurements
title_full Retrieval of Effective Correlation Length and Snow Water Equivalent from Radar and Passive Microwave Measurements
title_fullStr Retrieval of Effective Correlation Length and Snow Water Equivalent from Radar and Passive Microwave Measurements
title_full_unstemmed Retrieval of Effective Correlation Length and Snow Water Equivalent from Radar and Passive Microwave Measurements
title_sort retrieval of effective correlation length and snow water equivalent from radar and passive microwave measurements
publisher MDPI AG
publishDate 2018
url https://doi.org/10.3390/rs10020170
https://doaj.org/article/01719e1cb6af487eb5577e9d6494b5cc
genre Northern Finland
genre_facet Northern Finland
op_source Remote Sensing, Vol 10, Iss 2, p 170 (2018)
op_relation http://www.mdpi.com/2072-4292/10/2/170
https://doaj.org/toc/2072-4292
2072-4292
doi:10.3390/rs10020170
https://doaj.org/article/01719e1cb6af487eb5577e9d6494b5cc
op_doi https://doi.org/10.3390/rs10020170
container_title Remote Sensing
container_volume 10
container_issue 2
container_start_page 170
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