Pan-Arctic Land Surface Temperature from MODIS and AATSR: Product Development and Intercomparison

Models and observations show that the Arctic is experiencing the most rapid changes in global near-surface air temperature. We developed novel EASE-grid Level 3 (L3) land surface temperature (LST) products from Level 2 (L2) AATSR and MODIS data to provide weekly, monthly and annual LST means over th...

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Published in:Remote Sensing
Main Authors: Aiman Soliman, Claude Duguay, William Saunders, Sonia Hachem
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2012
Subjects:
Online Access:https://doi.org/10.3390/rs4123833
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spelling ftmdpi:oai:mdpi.com:/2072-4292/4/12/3833/ 2023-08-20T04:03:47+02:00 Pan-Arctic Land Surface Temperature from MODIS and AATSR: Product Development and Intercomparison Aiman Soliman Claude Duguay William Saunders Sonia Hachem agris 2012-12-05 application/pdf https://doi.org/10.3390/rs4123833 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/rs4123833 https://creativecommons.org/licenses/by/3.0/ Remote Sensing; Volume 4; Issue 12; Pages: 3833-3856 land surface temperature Arctic AATSR MODIS passive microwave atmospheric reanalysis Text 2012 ftmdpi https://doi.org/10.3390/rs4123833 2023-07-31T20:30:51Z Models and observations show that the Arctic is experiencing the most rapid changes in global near-surface air temperature. We developed novel EASE-grid Level 3 (L3) land surface temperature (LST) products from Level 2 (L2) AATSR and MODIS data to provide weekly, monthly and annual LST means over the pan-Arctic region at various grid resolutions (1–25 km) for the past decade (2000–2010). In this paper, we provide: (1) a review of previous validation of MODIS/AATSR L2; (2) a description of the processing chain of L3 products; (3) an assessment of the 25 km products uncertainty, and; (4) a quantification of the bias introduced by over-representing clear-sky days in MODIS L3 products. In addition, we generated uncertainty maps by comparing L3 products with LST from passive microwave sensors (AMSR-E and SSM/I) and the North American Regional Reanalysis (NARR). Results show a close correspondence between MODIS and AATSR monthly products with a mean-difference (MD) of −1.1 K. Comparing L3 products with NARR indicates a close agreement in summer and a systematic bias in winter, which is entirely negative with respect to MODIS L3 (MD: −3.6, Min: −6.8, Max: −1 K). Comparing monthly averaged MODIS L3 to NARR clear-sky to quantify over-representing clear-sky days indicates a decrease of winter and an increase of summer difference compared to NARR all-sky. Finally, we provide suggestions to improve LST retrieval over Arctic regions. Text Arctic MDPI Open Access Publishing Arctic Remote Sensing 4 12 3833 3856
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic land surface temperature
Arctic
AATSR
MODIS
passive microwave
atmospheric reanalysis
spellingShingle land surface temperature
Arctic
AATSR
MODIS
passive microwave
atmospheric reanalysis
Aiman Soliman
Claude Duguay
William Saunders
Sonia Hachem
Pan-Arctic Land Surface Temperature from MODIS and AATSR: Product Development and Intercomparison
topic_facet land surface temperature
Arctic
AATSR
MODIS
passive microwave
atmospheric reanalysis
description Models and observations show that the Arctic is experiencing the most rapid changes in global near-surface air temperature. We developed novel EASE-grid Level 3 (L3) land surface temperature (LST) products from Level 2 (L2) AATSR and MODIS data to provide weekly, monthly and annual LST means over the pan-Arctic region at various grid resolutions (1–25 km) for the past decade (2000–2010). In this paper, we provide: (1) a review of previous validation of MODIS/AATSR L2; (2) a description of the processing chain of L3 products; (3) an assessment of the 25 km products uncertainty, and; (4) a quantification of the bias introduced by over-representing clear-sky days in MODIS L3 products. In addition, we generated uncertainty maps by comparing L3 products with LST from passive microwave sensors (AMSR-E and SSM/I) and the North American Regional Reanalysis (NARR). Results show a close correspondence between MODIS and AATSR monthly products with a mean-difference (MD) of −1.1 K. Comparing L3 products with NARR indicates a close agreement in summer and a systematic bias in winter, which is entirely negative with respect to MODIS L3 (MD: −3.6, Min: −6.8, Max: −1 K). Comparing monthly averaged MODIS L3 to NARR clear-sky to quantify over-representing clear-sky days indicates a decrease of winter and an increase of summer difference compared to NARR all-sky. Finally, we provide suggestions to improve LST retrieval over Arctic regions.
format Text
author Aiman Soliman
Claude Duguay
William Saunders
Sonia Hachem
author_facet Aiman Soliman
Claude Duguay
William Saunders
Sonia Hachem
author_sort Aiman Soliman
title Pan-Arctic Land Surface Temperature from MODIS and AATSR: Product Development and Intercomparison
title_short Pan-Arctic Land Surface Temperature from MODIS and AATSR: Product Development and Intercomparison
title_full Pan-Arctic Land Surface Temperature from MODIS and AATSR: Product Development and Intercomparison
title_fullStr Pan-Arctic Land Surface Temperature from MODIS and AATSR: Product Development and Intercomparison
title_full_unstemmed Pan-Arctic Land Surface Temperature from MODIS and AATSR: Product Development and Intercomparison
title_sort pan-arctic land surface temperature from modis and aatsr: product development and intercomparison
publisher Multidisciplinary Digital Publishing Institute
publishDate 2012
url https://doi.org/10.3390/rs4123833
op_coverage agris
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_source Remote Sensing; Volume 4; Issue 12; Pages: 3833-3856
op_relation https://dx.doi.org/10.3390/rs4123833
op_rights https://creativecommons.org/licenses/by/3.0/
op_doi https://doi.org/10.3390/rs4123833
container_title Remote Sensing
container_volume 4
container_issue 12
container_start_page 3833
op_container_end_page 3856
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