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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Published in:Remote Sensing
Main Authors: Dorothy K. Hall, Richard I. Cullather, Nicolo E. DiGirolamo, Josefino C. Comiso, Brooke C. Medley, Sophie M. Nowicki
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2018
Subjects:
IST
Online Access:https://doi.org/10.3390/rs10040555
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spelling ftmdpi:oai:mdpi.com:/2072-4292/10/4/555/ 2023-08-20T04:06:51+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 agris 2018-04-04 application/pdf https://doi.org/10.3390/rs10040555 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/rs10040555 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 10; Issue 4; Pages: 555 Greenland MODIS MERRA-2 IST melt maps albedo water vapor Text 2018 ftmdpi https://doi.org/10.3390/rs10040555 2023-07-31T21:27:37Z 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. Text Greenland Ice Sheet National Snow and Ice Data Center MDPI Open Access Publishing Greenland Merra ENVELOPE(12.615,12.615,65.816,65.816) Remote Sensing 10 4 555
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic Greenland
MODIS
MERRA-2
IST
melt maps
albedo
water vapor
spellingShingle Greenland
MODIS
MERRA-2
IST
melt maps
albedo
water vapor
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
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 Text
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 Multidisciplinary Digital Publishing Institute
publishDate 2018
url https://doi.org/10.3390/rs10040555
op_coverage agris
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; Volume 10; Issue 4; Pages: 555
op_relation https://dx.doi.org/10.3390/rs10040555
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/rs10040555
container_title Remote Sensing
container_volume 10
container_issue 4
container_start_page 555
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