Validation of NOAA-Interactive Multisensor Snow and Ice Mapping System (IMS) by Comparison with Ground-Based Measurements over Continental United States
In this study, daily maps of snow cover distribution and sea ice extent produced by NOAA’s interactive multisensor snow and ice mapping system (IMS) were validated using in situ snow depth data from observing stations obtained from NOAA’s National Climatic Data Center (NCDC) for calendar years 2006...
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ftdoajarticles:oai:doaj.org/article:7ef8a9a2770b4b3598f6445ed5d8f5f8 2023-05-15T18:18:00+02:00 Validation of NOAA-Interactive Multisensor Snow and Ice Mapping System (IMS) by Comparison with Ground-Based Measurements over Continental United States Reza Khanbilvardi Al Powell Peter Romanov Sean Helfrich Tarendra Lakhankar Christine Chen 2012-04-01T00:00:00Z https://doi.org/10.3390/rs4051134 https://doaj.org/article/7ef8a9a2770b4b3598f6445ed5d8f5f8 EN eng MDPI AG http://www.mdpi.com/2072-4292/4/5/1134 https://doaj.org/toc/2072-4292 doi:10.3390/rs4051134 2072-4292 https://doaj.org/article/7ef8a9a2770b4b3598f6445ed5d8f5f8 Remote Sensing, Vol 4, Iss 5, Pp 1134-1145 (2012) snow IMS NOAA NCDC AVHRR Science Q article 2012 ftdoajarticles https://doi.org/10.3390/rs4051134 2022-12-31T15:24:46Z In this study, daily maps of snow cover distribution and sea ice extent produced by NOAA’s interactive multisensor snow and ice mapping system (IMS) were validated using in situ snow depth data from observing stations obtained from NOAA’s National Climatic Data Center (NCDC) for calendar years 2006 to 2010. IMS provides daily maps of snow and sea ice extent within the Northern Hemisphere using data from combination of geostationary and polar orbiting satellites in visible, infrared and microwave spectrums. Statistical correspondence between the IMS and in situ point measurements has been evaluated assuming that ground measurements are discrete and continuously distributed over a 4 km IMS snow cover maps. Advanced Very High Resolution Radiometer (AVHRR) land and snow classification data are supplemental datasets used in the further analysis of correspondence between the IMS product and in situ measurements. The comparison of IMS maps with in situ snow observations conducted over a period of four years has demonstrated a good correspondence of the data sets. The daily rate of agreement between the products mostly ranges between 80% and 90% during the Northern Hemisphere through the winter seasons when about a quarter to one third of the territory of continental US is covered with snow. Further, better agreement was observed for stations recording higher snow depth. The uncertainties in validation of IMS snow product with stationed NCDC data were discussed. Article in Journal/Newspaper Sea ice Directory of Open Access Journals: DOAJ Articles Remote Sensing 4 5 1134 1145 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
snow IMS NOAA NCDC AVHRR Science Q |
spellingShingle |
snow IMS NOAA NCDC AVHRR Science Q Reza Khanbilvardi Al Powell Peter Romanov Sean Helfrich Tarendra Lakhankar Christine Chen Validation of NOAA-Interactive Multisensor Snow and Ice Mapping System (IMS) by Comparison with Ground-Based Measurements over Continental United States |
topic_facet |
snow IMS NOAA NCDC AVHRR Science Q |
description |
In this study, daily maps of snow cover distribution and sea ice extent produced by NOAA’s interactive multisensor snow and ice mapping system (IMS) were validated using in situ snow depth data from observing stations obtained from NOAA’s National Climatic Data Center (NCDC) for calendar years 2006 to 2010. IMS provides daily maps of snow and sea ice extent within the Northern Hemisphere using data from combination of geostationary and polar orbiting satellites in visible, infrared and microwave spectrums. Statistical correspondence between the IMS and in situ point measurements has been evaluated assuming that ground measurements are discrete and continuously distributed over a 4 km IMS snow cover maps. Advanced Very High Resolution Radiometer (AVHRR) land and snow classification data are supplemental datasets used in the further analysis of correspondence between the IMS product and in situ measurements. The comparison of IMS maps with in situ snow observations conducted over a period of four years has demonstrated a good correspondence of the data sets. The daily rate of agreement between the products mostly ranges between 80% and 90% during the Northern Hemisphere through the winter seasons when about a quarter to one third of the territory of continental US is covered with snow. Further, better agreement was observed for stations recording higher snow depth. The uncertainties in validation of IMS snow product with stationed NCDC data were discussed. |
format |
Article in Journal/Newspaper |
author |
Reza Khanbilvardi Al Powell Peter Romanov Sean Helfrich Tarendra Lakhankar Christine Chen |
author_facet |
Reza Khanbilvardi Al Powell Peter Romanov Sean Helfrich Tarendra Lakhankar Christine Chen |
author_sort |
Reza Khanbilvardi |
title |
Validation of NOAA-Interactive Multisensor Snow and Ice Mapping System (IMS) by Comparison with Ground-Based Measurements over Continental United States |
title_short |
Validation of NOAA-Interactive Multisensor Snow and Ice Mapping System (IMS) by Comparison with Ground-Based Measurements over Continental United States |
title_full |
Validation of NOAA-Interactive Multisensor Snow and Ice Mapping System (IMS) by Comparison with Ground-Based Measurements over Continental United States |
title_fullStr |
Validation of NOAA-Interactive Multisensor Snow and Ice Mapping System (IMS) by Comparison with Ground-Based Measurements over Continental United States |
title_full_unstemmed |
Validation of NOAA-Interactive Multisensor Snow and Ice Mapping System (IMS) by Comparison with Ground-Based Measurements over Continental United States |
title_sort |
validation of noaa-interactive multisensor snow and ice mapping system (ims) by comparison with ground-based measurements over continental united states |
publisher |
MDPI AG |
publishDate |
2012 |
url |
https://doi.org/10.3390/rs4051134 https://doaj.org/article/7ef8a9a2770b4b3598f6445ed5d8f5f8 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
Remote Sensing, Vol 4, Iss 5, Pp 1134-1145 (2012) |
op_relation |
http://www.mdpi.com/2072-4292/4/5/1134 https://doaj.org/toc/2072-4292 doi:10.3390/rs4051134 2072-4292 https://doaj.org/article/7ef8a9a2770b4b3598f6445ed5d8f5f8 |
op_doi |
https://doi.org/10.3390/rs4051134 |
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Remote Sensing |
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4 |
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5 |
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1134 |
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1145 |
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1766193849634390016 |