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Snow Albedo Seasonality and Trend from MODIS Sensor and Ground Data at Johnsons Glacier, Livingston Island, Maritime Antarctica

The aim of this work is to investigate whether snow albedo seasonality and trend under all sky conditions at Johnsons Glacier (Livingston Island, Antarctica) can be tracked using the Moderate Resolution Imaging Spectroradiometer (MODIS) snow albedo daily product MOD10A1. The time span is from Decemb...

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Autores principales: Calleja, Javier F., Corbea-Pérez, Alejandro, Fernández, Susana, Recondo, Carmen, Peón, Juanjo, de Pablo, Miguel Ángel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6720592/
https://www.ncbi.nlm.nih.gov/pubmed/31443333
http://dx.doi.org/10.3390/s19163569
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author Calleja, Javier F.
Corbea-Pérez, Alejandro
Fernández, Susana
Recondo, Carmen
Peón, Juanjo
de Pablo, Miguel Ángel
author_facet Calleja, Javier F.
Corbea-Pérez, Alejandro
Fernández, Susana
Recondo, Carmen
Peón, Juanjo
de Pablo, Miguel Ángel
author_sort Calleja, Javier F.
collection PubMed
description The aim of this work is to investigate whether snow albedo seasonality and trend under all sky conditions at Johnsons Glacier (Livingston Island, Antarctica) can be tracked using the Moderate Resolution Imaging Spectroradiometer (MODIS) snow albedo daily product MOD10A1. The time span is from December 2006 to February 2015. As the MOD10A1 snow albedo product has never been used in Antarctica before, we also assess the performance for the MOD10A1 cloud mask. The motivation for this work is the need for a description of snow albedo under all sky conditions (including overcast days) using satellite data with mid-spatial resolution. In-situ albedo was filtered with a 5-day windowed moving average, while the MOD10A1 data were filtered using a maximum filter. Both in-situ and MOD10A1 data follow an exponential decay during the melting season, with a maximum decay of 0.049/0.094 day(−1) (in-situ/MOD10A1) for the 2006–2007 season and a minimum of 0.016/0.016 day(−1) for the 2009–2010 season. The duration of the decay varies from 85 days (2007–2008) to 167 days (2013–2014). Regarding the albedo trend, both data sets exhibit a slight increase of albedo, which may be explained by an increase of snowfall along with a decrease of snowmelt in the study area. Annual albedo increases of 0.2% and 0.7% are obtained for in-situ and MOD10A1 data, respectively, which amount to respective increases of 2% and 6% in the period 2006–2015. We conclude that MOD10A1 can be used to characterize snow albedo seasonality and trend on Livingston Island when filtered with a maximum filter.
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spelling pubmed-67205922019-09-10 Snow Albedo Seasonality and Trend from MODIS Sensor and Ground Data at Johnsons Glacier, Livingston Island, Maritime Antarctica Calleja, Javier F. Corbea-Pérez, Alejandro Fernández, Susana Recondo, Carmen Peón, Juanjo de Pablo, Miguel Ángel Sensors (Basel) Article The aim of this work is to investigate whether snow albedo seasonality and trend under all sky conditions at Johnsons Glacier (Livingston Island, Antarctica) can be tracked using the Moderate Resolution Imaging Spectroradiometer (MODIS) snow albedo daily product MOD10A1. The time span is from December 2006 to February 2015. As the MOD10A1 snow albedo product has never been used in Antarctica before, we also assess the performance for the MOD10A1 cloud mask. The motivation for this work is the need for a description of snow albedo under all sky conditions (including overcast days) using satellite data with mid-spatial resolution. In-situ albedo was filtered with a 5-day windowed moving average, while the MOD10A1 data were filtered using a maximum filter. Both in-situ and MOD10A1 data follow an exponential decay during the melting season, with a maximum decay of 0.049/0.094 day(−1) (in-situ/MOD10A1) for the 2006–2007 season and a minimum of 0.016/0.016 day(−1) for the 2009–2010 season. The duration of the decay varies from 85 days (2007–2008) to 167 days (2013–2014). Regarding the albedo trend, both data sets exhibit a slight increase of albedo, which may be explained by an increase of snowfall along with a decrease of snowmelt in the study area. Annual albedo increases of 0.2% and 0.7% are obtained for in-situ and MOD10A1 data, respectively, which amount to respective increases of 2% and 6% in the period 2006–2015. We conclude that MOD10A1 can be used to characterize snow albedo seasonality and trend on Livingston Island when filtered with a maximum filter. MDPI 2019-08-15 /pmc/articles/PMC6720592/ /pubmed/31443333 http://dx.doi.org/10.3390/s19163569 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Calleja, Javier F.
Corbea-Pérez, Alejandro
Fernández, Susana
Recondo, Carmen
Peón, Juanjo
de Pablo, Miguel Ángel
Snow Albedo Seasonality and Trend from MODIS Sensor and Ground Data at Johnsons Glacier, Livingston Island, Maritime Antarctica
title Snow Albedo Seasonality and Trend from MODIS Sensor and Ground Data at Johnsons Glacier, Livingston Island, Maritime Antarctica
title_full Snow Albedo Seasonality and Trend from MODIS Sensor and Ground Data at Johnsons Glacier, Livingston Island, Maritime Antarctica
title_fullStr Snow Albedo Seasonality and Trend from MODIS Sensor and Ground Data at Johnsons Glacier, Livingston Island, Maritime Antarctica
title_full_unstemmed Snow Albedo Seasonality and Trend from MODIS Sensor and Ground Data at Johnsons Glacier, Livingston Island, Maritime Antarctica
title_short Snow Albedo Seasonality and Trend from MODIS Sensor and Ground Data at Johnsons Glacier, Livingston Island, Maritime Antarctica
title_sort snow albedo seasonality and trend from modis sensor and ground data at johnsons glacier, livingston island, maritime antarctica
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6720592/
https://www.ncbi.nlm.nih.gov/pubmed/31443333
http://dx.doi.org/10.3390/s19163569
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