A Multilayer Surface Temperature, Surface Albedo, and Water Vapor Product of Greenland from MODIS
A multilayer, daily ice surface temperature (IST)–albedo–water vapor product of Greenland, extending from March 2000 through December 2016, has been developed using standard MODerate-resolution Imaging Spectroradiometer (MODIS) data products from the Terra satellite. To meet the needs of the ice she...
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ftdoajarticles:oai:doaj.org/article:7ad160e67ea6479e8205acec679efbac 2023-05-15T16:27:11+02:00 A Multilayer Surface Temperature, Surface Albedo, and Water Vapor Product of Greenland from MODIS Dorothy K. Hall Richard I. Cullather Nicolo E. DiGirolamo Josefino C. Comiso Brooke C. Medley Sophie M. Nowicki 2018-04-01T00:00:00Z https://doi.org/10.3390/rs10040555 https://doaj.org/article/7ad160e67ea6479e8205acec679efbac EN eng MDPI AG http://www.mdpi.com/2072-4292/10/4/555 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs10040555 https://doaj.org/article/7ad160e67ea6479e8205acec679efbac Remote Sensing, Vol 10, Iss 4, p 555 (2018) Greenland MODIS MERRA-2 IST melt maps albedo water vapor Science Q article 2018 ftdoajarticles https://doi.org/10.3390/rs10040555 2022-12-31T10:52:54Z A multilayer, daily ice surface temperature (IST)–albedo–water vapor product of Greenland, extending from March 2000 through December 2016, has been developed using standard MODerate-resolution Imaging Spectroradiometer (MODIS) data products from the Terra satellite. To meet the needs of the ice sheet modeling community, this new Earth Science Data Record (ESDR) is provided in a polar stereographic projection in NetCDF format, and includes the existing standard MODIS Collection 6.1 IST and derived melt maps, and Collection 6 snow albedo and water vapor maps, along with ancillary data, and is provided at a spatial resolution of ~0.78 km. This ESDR enables relationships between IST, surface melt, albedo, and water vapor to be evaluated easily. We show examples of the components of the ESDR and describe some uses of the ESDR such as for comparison with skin temperature, albedo, and water vapor output from Modern Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2). Additionally, we show validation of the MODIS IST using in situ and aircraft data, and validation of MERRA-2 skin temperature maps using MODIS IST and in situ data. The ESDR has been assigned a DOI and will be available through the National Snow and Ice Data Center by the summer of 2018. Article in Journal/Newspaper Greenland Ice Sheet National Snow and Ice Data Center Directory of Open Access Journals: DOAJ Articles Greenland Merra ENVELOPE(12.615,12.615,65.816,65.816) Remote Sensing 10 4 555 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Greenland MODIS MERRA-2 IST melt maps albedo water vapor Science Q |
spellingShingle |
Greenland MODIS MERRA-2 IST melt maps albedo water vapor Science Q Dorothy K. Hall Richard I. Cullather Nicolo E. DiGirolamo Josefino C. Comiso Brooke C. Medley Sophie M. Nowicki A Multilayer Surface Temperature, Surface Albedo, and Water Vapor Product of Greenland from MODIS |
topic_facet |
Greenland MODIS MERRA-2 IST melt maps albedo water vapor Science Q |
description |
A multilayer, daily ice surface temperature (IST)–albedo–water vapor product of Greenland, extending from March 2000 through December 2016, has been developed using standard MODerate-resolution Imaging Spectroradiometer (MODIS) data products from the Terra satellite. To meet the needs of the ice sheet modeling community, this new Earth Science Data Record (ESDR) is provided in a polar stereographic projection in NetCDF format, and includes the existing standard MODIS Collection 6.1 IST and derived melt maps, and Collection 6 snow albedo and water vapor maps, along with ancillary data, and is provided at a spatial resolution of ~0.78 km. This ESDR enables relationships between IST, surface melt, albedo, and water vapor to be evaluated easily. We show examples of the components of the ESDR and describe some uses of the ESDR such as for comparison with skin temperature, albedo, and water vapor output from Modern Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2). Additionally, we show validation of the MODIS IST using in situ and aircraft data, and validation of MERRA-2 skin temperature maps using MODIS IST and in situ data. The ESDR has been assigned a DOI and will be available through the National Snow and Ice Data Center by the summer of 2018. |
format |
Article in Journal/Newspaper |
author |
Dorothy K. Hall Richard I. Cullather Nicolo E. DiGirolamo Josefino C. Comiso Brooke C. Medley Sophie M. Nowicki |
author_facet |
Dorothy K. Hall Richard I. Cullather Nicolo E. DiGirolamo Josefino C. Comiso Brooke C. Medley Sophie M. Nowicki |
author_sort |
Dorothy K. Hall |
title |
A Multilayer Surface Temperature, Surface Albedo, and Water Vapor Product of Greenland from MODIS |
title_short |
A Multilayer Surface Temperature, Surface Albedo, and Water Vapor Product of Greenland from MODIS |
title_full |
A Multilayer Surface Temperature, Surface Albedo, and Water Vapor Product of Greenland from MODIS |
title_fullStr |
A Multilayer Surface Temperature, Surface Albedo, and Water Vapor Product of Greenland from MODIS |
title_full_unstemmed |
A Multilayer Surface Temperature, Surface Albedo, and Water Vapor Product of Greenland from MODIS |
title_sort |
multilayer surface temperature, surface albedo, and water vapor product of greenland from modis |
publisher |
MDPI AG |
publishDate |
2018 |
url |
https://doi.org/10.3390/rs10040555 https://doaj.org/article/7ad160e67ea6479e8205acec679efbac |
long_lat |
ENVELOPE(12.615,12.615,65.816,65.816) |
geographic |
Greenland Merra |
geographic_facet |
Greenland Merra |
genre |
Greenland Ice Sheet National Snow and Ice Data Center |
genre_facet |
Greenland Ice Sheet National Snow and Ice Data Center |
op_source |
Remote Sensing, Vol 10, Iss 4, p 555 (2018) |
op_relation |
http://www.mdpi.com/2072-4292/10/4/555 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs10040555 https://doaj.org/article/7ad160e67ea6479e8205acec679efbac |
op_doi |
https://doi.org/10.3390/rs10040555 |
container_title |
Remote Sensing |
container_volume |
10 |
container_issue |
4 |
container_start_page |
555 |
_version_ |
1766016274828099584 |