Estimating ice phenology on large northern lakes from AMSR-E: algorithm development and application to Great Bear Lake and Great Slave Lake, Canada

Time series of brightness temperatures ( T B ) from the Advanced Microwave Scanning Radiometer–Earth Observing System (AMSR-E) are examined to determine ice phenology variables on the two largest lakes of northern Canada: Great Bear Lake (GBL) and Great Slave Lake (GSL). T B measurements from the 18...

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Published in:The Cryosphere
Main Authors: Kang, K.-K., Duguay, C. R., Howell, S. E. L.
Format: Text
Language:English
Published: 2018
Subjects:
Dy
Online Access:https://doi.org/10.5194/tc-6-235-2012
https://tc.copernicus.org/articles/6/235/2012/
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spelling ftcopernicus:oai:publications.copernicus.org:tc13038 2023-05-15T16:22:59+02:00 Estimating ice phenology on large northern lakes from AMSR-E: algorithm development and application to Great Bear Lake and Great Slave Lake, Canada Kang, K.-K. Duguay, C. R. Howell, S. E. L. 2018-09-27 application/pdf https://doi.org/10.5194/tc-6-235-2012 https://tc.copernicus.org/articles/6/235/2012/ eng eng doi:10.5194/tc-6-235-2012 https://tc.copernicus.org/articles/6/235/2012/ eISSN: 1994-0424 Text 2018 ftcopernicus https://doi.org/10.5194/tc-6-235-2012 2020-07-20T16:25:52Z Time series of brightness temperatures ( T B ) from the Advanced Microwave Scanning Radiometer–Earth Observing System (AMSR-E) are examined to determine ice phenology variables on the two largest lakes of northern Canada: Great Bear Lake (GBL) and Great Slave Lake (GSL). T B measurements from the 18.7, 23.8, 36.5, and 89.0 GHz channels (H- and V- polarization) are compared to assess their potential for detecting freeze-onset/melt-onset and ice-on/ice-off dates on both lakes. The 18.7 GHz (H-pol) channel is found to be the most suitable for estimating these ice dates as well as the duration of the ice cover and ice-free seasons. A new algorithm is proposed using this channel and applied to map all ice phenology variables on GBL and GSL over seven ice seasons (2002–2009). Analysis of the spatio-temporal patterns of each variable at the pixel level reveals that: (1) both freeze-onset and ice-on dates occur on average about one week earlier on GBL than on GSL (Day of Year (DY) 318 and 333 for GBL; DY 328 and 343 for GSL); (2) the freeze-up process or freeze duration (freeze-onset to ice-on) takes a slightly longer amount of time on GBL than on GSL (about 1 week on average); (3) melt-onset and ice-off dates occur on average one week and approximately four weeks later, respectively, on GBL (DY 143 and 183 for GBL; DY 135 and 157 for GSL); (4) the break-up process or melt duration (melt-onset to ice-off) lasts on average about three weeks longer on GBL; and (5) ice cover duration estimated from each individual pixel is on average about three weeks longer on GBL compared to its more southern counterpart, GSL. A comparison of dates for several ice phenology variables derived from other satellite remote sensing products (e.g. NOAA Interactive Multisensor Snow and Ice Mapping System (IMS), QuikSCAT, and Canadian Ice Service Database) show that, despite its relatively coarse spatial resolution, AMSR-E 18.7 GHz provides a viable means for monitoring of ice phenology on large northern lakes. Text Great Bear Lake Great Slave Lake Copernicus Publications: E-Journals Canada Dy ENVELOPE(11.369,11.369,64.834,64.834) Great Bear Lake ENVELOPE(-120.753,-120.753,65.834,65.834) Great Slave Lake ENVELOPE(-114.001,-114.001,61.500,61.500) The Cryosphere 6 2 235 254
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description Time series of brightness temperatures ( T B ) from the Advanced Microwave Scanning Radiometer–Earth Observing System (AMSR-E) are examined to determine ice phenology variables on the two largest lakes of northern Canada: Great Bear Lake (GBL) and Great Slave Lake (GSL). T B measurements from the 18.7, 23.8, 36.5, and 89.0 GHz channels (H- and V- polarization) are compared to assess their potential for detecting freeze-onset/melt-onset and ice-on/ice-off dates on both lakes. The 18.7 GHz (H-pol) channel is found to be the most suitable for estimating these ice dates as well as the duration of the ice cover and ice-free seasons. A new algorithm is proposed using this channel and applied to map all ice phenology variables on GBL and GSL over seven ice seasons (2002–2009). Analysis of the spatio-temporal patterns of each variable at the pixel level reveals that: (1) both freeze-onset and ice-on dates occur on average about one week earlier on GBL than on GSL (Day of Year (DY) 318 and 333 for GBL; DY 328 and 343 for GSL); (2) the freeze-up process or freeze duration (freeze-onset to ice-on) takes a slightly longer amount of time on GBL than on GSL (about 1 week on average); (3) melt-onset and ice-off dates occur on average one week and approximately four weeks later, respectively, on GBL (DY 143 and 183 for GBL; DY 135 and 157 for GSL); (4) the break-up process or melt duration (melt-onset to ice-off) lasts on average about three weeks longer on GBL; and (5) ice cover duration estimated from each individual pixel is on average about three weeks longer on GBL compared to its more southern counterpart, GSL. A comparison of dates for several ice phenology variables derived from other satellite remote sensing products (e.g. NOAA Interactive Multisensor Snow and Ice Mapping System (IMS), QuikSCAT, and Canadian Ice Service Database) show that, despite its relatively coarse spatial resolution, AMSR-E 18.7 GHz provides a viable means for monitoring of ice phenology on large northern lakes.
format Text
author Kang, K.-K.
Duguay, C. R.
Howell, S. E. L.
spellingShingle Kang, K.-K.
Duguay, C. R.
Howell, S. E. L.
Estimating ice phenology on large northern lakes from AMSR-E: algorithm development and application to Great Bear Lake and Great Slave Lake, Canada
author_facet Kang, K.-K.
Duguay, C. R.
Howell, S. E. L.
author_sort Kang, K.-K.
title Estimating ice phenology on large northern lakes from AMSR-E: algorithm development and application to Great Bear Lake and Great Slave Lake, Canada
title_short Estimating ice phenology on large northern lakes from AMSR-E: algorithm development and application to Great Bear Lake and Great Slave Lake, Canada
title_full Estimating ice phenology on large northern lakes from AMSR-E: algorithm development and application to Great Bear Lake and Great Slave Lake, Canada
title_fullStr Estimating ice phenology on large northern lakes from AMSR-E: algorithm development and application to Great Bear Lake and Great Slave Lake, Canada
title_full_unstemmed Estimating ice phenology on large northern lakes from AMSR-E: algorithm development and application to Great Bear Lake and Great Slave Lake, Canada
title_sort estimating ice phenology on large northern lakes from amsr-e: algorithm development and application to great bear lake and great slave lake, canada
publishDate 2018
url https://doi.org/10.5194/tc-6-235-2012
https://tc.copernicus.org/articles/6/235/2012/
long_lat ENVELOPE(11.369,11.369,64.834,64.834)
ENVELOPE(-120.753,-120.753,65.834,65.834)
ENVELOPE(-114.001,-114.001,61.500,61.500)
geographic Canada
Dy
Great Bear Lake
Great Slave Lake
geographic_facet Canada
Dy
Great Bear Lake
Great Slave Lake
genre Great Bear Lake
Great Slave Lake
genre_facet Great Bear Lake
Great Slave Lake
op_source eISSN: 1994-0424
op_relation doi:10.5194/tc-6-235-2012
https://tc.copernicus.org/articles/6/235/2012/
op_doi https://doi.org/10.5194/tc-6-235-2012
container_title The Cryosphere
container_volume 6
container_issue 2
container_start_page 235
op_container_end_page 254
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