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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ftdoajarticles:oai:doaj.org/article:d49d0be97bca4d92aed33466114d7085 2023-05-15T14:47:05+02:00 Pan-Arctic Land Surface Temperature from MODIS and AATSR: Product Development and Intercomparison Aiman Soliman Claude Duguay William Saunders Sonia Hachem 2012-12-01T00:00:00Z https://doi.org/10.3390/rs4123833 https://doaj.org/article/d49d0be97bca4d92aed33466114d7085 EN eng MDPI AG http://www.mdpi.com/2072-4292/4/12/3833 https://doaj.org/toc/2072-4292 doi:10.3390/rs4123833 2072-4292 https://doaj.org/article/d49d0be97bca4d92aed33466114d7085 Remote Sensing, Vol 4, Iss 12, Pp 3833-3856 (2012) land surface temperature Arctic AATSR MODIS passive microwave atmospheric reanalysis Science Q article 2012 ftdoajarticles https://doi.org/10.3390/rs4123833 2022-12-30T20:32:59Z 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. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Remote Sensing 4 12 3833 3856 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
land surface temperature Arctic AATSR MODIS passive microwave atmospheric reanalysis Science Q |
spellingShingle |
land surface temperature Arctic AATSR MODIS passive microwave atmospheric reanalysis Science Q 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 Science Q |
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 |
Article in Journal/Newspaper |
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 |
MDPI AG |
publishDate |
2012 |
url |
https://doi.org/10.3390/rs4123833 https://doaj.org/article/d49d0be97bca4d92aed33466114d7085 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Remote Sensing, Vol 4, Iss 12, Pp 3833-3856 (2012) |
op_relation |
http://www.mdpi.com/2072-4292/4/12/3833 https://doaj.org/toc/2072-4292 doi:10.3390/rs4123833 2072-4292 https://doaj.org/article/d49d0be97bca4d92aed33466114d7085 |
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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1766318212307222528 |