Improving satellite-retrieved surface radiative fluxes in polar regions using a smart sampling approach

The surface energy budget (SEB) of polar regions is key to understanding the polar amplification of global climate change and its worldwide consequences. However, despite a growing network of ground-based automatic weather stations that measure the radiative components of the SEB, extensive areas re...

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Bibliographic Details
Published in:The Cryosphere
Main Authors: K. Van Tricht, S. Lhermitte, I. V. Gorodetskaya, N. P. M. van Lipzig
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2016
Subjects:
geo
Online Access:https://doi.org/10.5194/tc-10-2379-2016
https://www.the-cryosphere.net/10/2379/2016/tc-10-2379-2016.pdf
https://doaj.org/article/d9c7a8993dad4f739c40c3bb2bb3f45e
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spelling fttriple:oai:gotriple.eu:oai:doaj.org/article:d9c7a8993dad4f739c40c3bb2bb3f45e 2023-05-15T13:43:54+02:00 Improving satellite-retrieved surface radiative fluxes in polar regions using a smart sampling approach K. Van Tricht S. Lhermitte I. V. Gorodetskaya N. P. M. van Lipzig 2016-10-01 https://doi.org/10.5194/tc-10-2379-2016 https://www.the-cryosphere.net/10/2379/2016/tc-10-2379-2016.pdf https://doaj.org/article/d9c7a8993dad4f739c40c3bb2bb3f45e en eng Copernicus Publications doi:10.5194/tc-10-2379-2016 1994-0416 1994-0424 https://www.the-cryosphere.net/10/2379/2016/tc-10-2379-2016.pdf https://doaj.org/article/d9c7a8993dad4f739c40c3bb2bb3f45e undefined The Cryosphere, Vol 10, Pp 2379-2397 (2016) geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2016 fttriple https://doi.org/10.5194/tc-10-2379-2016 2023-01-22T18:03:49Z The surface energy budget (SEB) of polar regions is key to understanding the polar amplification of global climate change and its worldwide consequences. However, despite a growing network of ground-based automatic weather stations that measure the radiative components of the SEB, extensive areas remain where no ground-based observations are available. Satellite remote sensing has emerged as a potential solution to retrieve components of the SEB over remote areas, with radar and lidar aboard the CloudSat and CALIPSO satellites among the first to enable estimates of surface radiative long-wave (LW) and short-wave (SW) fluxes based on active cloud observations. However, due to the small swath footprints, combined with a return cycle of 16 days, questions arise as to how CloudSat and CALIPSO observations should be optimally sampled in order to retrieve representative fluxes for a given location. Here we present a smart sampling approach to retrieve downwelling surface radiative fluxes from CloudSat and CALIPSO observations for any given land-based point-of-interest (POI) in polar regions. The method comprises a spatial correction that allows the distance between the satellite footprint and the POI to be increased in order to raise the satellite sampling frequency. Sampling frequency is enhanced on average from only two unique satellite overpasses each month for limited-distance sampling < 10 km from the POI, to 35 satellite overpasses for the smart sampling approach. This reduces the root-mean-square errors on monthly mean flux estimates compared to ground-based measurements from 23 to 10 W m−2 (LW) and from 43 to 14 W m−2 (SW). The added value of the smart sampling approach is shown to be largest on finer temporal resolutions, where limited-distance sampling suffers from severely limited sampling frequencies. Finally, the methodology is illustrated for Pine Island Glacier (Antarctica) and the Greenland northern interior. Although few ground-based observations are available for these remote areas, important ... Article in Journal/Newspaper Antarc* Antarctica glacier Greenland Pine Island Pine Island Glacier The Cryosphere Unknown Greenland Pine Island Glacier ENVELOPE(-101.000,-101.000,-75.000,-75.000) The Cryosphere 10 5 2379 2397
institution Open Polar
collection Unknown
op_collection_id fttriple
language English
topic geo
envir
spellingShingle geo
envir
K. Van Tricht
S. Lhermitte
I. V. Gorodetskaya
N. P. M. van Lipzig
Improving satellite-retrieved surface radiative fluxes in polar regions using a smart sampling approach
topic_facet geo
envir
description The surface energy budget (SEB) of polar regions is key to understanding the polar amplification of global climate change and its worldwide consequences. However, despite a growing network of ground-based automatic weather stations that measure the radiative components of the SEB, extensive areas remain where no ground-based observations are available. Satellite remote sensing has emerged as a potential solution to retrieve components of the SEB over remote areas, with radar and lidar aboard the CloudSat and CALIPSO satellites among the first to enable estimates of surface radiative long-wave (LW) and short-wave (SW) fluxes based on active cloud observations. However, due to the small swath footprints, combined with a return cycle of 16 days, questions arise as to how CloudSat and CALIPSO observations should be optimally sampled in order to retrieve representative fluxes for a given location. Here we present a smart sampling approach to retrieve downwelling surface radiative fluxes from CloudSat and CALIPSO observations for any given land-based point-of-interest (POI) in polar regions. The method comprises a spatial correction that allows the distance between the satellite footprint and the POI to be increased in order to raise the satellite sampling frequency. Sampling frequency is enhanced on average from only two unique satellite overpasses each month for limited-distance sampling < 10 km from the POI, to 35 satellite overpasses for the smart sampling approach. This reduces the root-mean-square errors on monthly mean flux estimates compared to ground-based measurements from 23 to 10 W m−2 (LW) and from 43 to 14 W m−2 (SW). The added value of the smart sampling approach is shown to be largest on finer temporal resolutions, where limited-distance sampling suffers from severely limited sampling frequencies. Finally, the methodology is illustrated for Pine Island Glacier (Antarctica) and the Greenland northern interior. Although few ground-based observations are available for these remote areas, important ...
format Article in Journal/Newspaper
author K. Van Tricht
S. Lhermitte
I. V. Gorodetskaya
N. P. M. van Lipzig
author_facet K. Van Tricht
S. Lhermitte
I. V. Gorodetskaya
N. P. M. van Lipzig
author_sort K. Van Tricht
title Improving satellite-retrieved surface radiative fluxes in polar regions using a smart sampling approach
title_short Improving satellite-retrieved surface radiative fluxes in polar regions using a smart sampling approach
title_full Improving satellite-retrieved surface radiative fluxes in polar regions using a smart sampling approach
title_fullStr Improving satellite-retrieved surface radiative fluxes in polar regions using a smart sampling approach
title_full_unstemmed Improving satellite-retrieved surface radiative fluxes in polar regions using a smart sampling approach
title_sort improving satellite-retrieved surface radiative fluxes in polar regions using a smart sampling approach
publisher Copernicus Publications
publishDate 2016
url https://doi.org/10.5194/tc-10-2379-2016
https://www.the-cryosphere.net/10/2379/2016/tc-10-2379-2016.pdf
https://doaj.org/article/d9c7a8993dad4f739c40c3bb2bb3f45e
long_lat ENVELOPE(-101.000,-101.000,-75.000,-75.000)
geographic Greenland
Pine Island Glacier
geographic_facet Greenland
Pine Island Glacier
genre Antarc*
Antarctica
glacier
Greenland
Pine Island
Pine Island Glacier
The Cryosphere
genre_facet Antarc*
Antarctica
glacier
Greenland
Pine Island
Pine Island Glacier
The Cryosphere
op_source The Cryosphere, Vol 10, Pp 2379-2397 (2016)
op_relation doi:10.5194/tc-10-2379-2016
1994-0416
1994-0424
https://www.the-cryosphere.net/10/2379/2016/tc-10-2379-2016.pdf
https://doaj.org/article/d9c7a8993dad4f739c40c3bb2bb3f45e
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op_doi https://doi.org/10.5194/tc-10-2379-2016
container_title The Cryosphere
container_volume 10
container_issue 5
container_start_page 2379
op_container_end_page 2397
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