SWEAT: Snow Water Equivalent with AlTimetry
International audience Team Orange would like to thank FFG and ESA for organising the Summer School Alpbach 2016. Also thanks to all the tutors and lecturers guiding Team Orange towards this product, and a special thank to our team tutors. Abstract Snow Water Equivalent (SWE) is not directly measure...
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ftunigrenoble:oai:HAL:hal-02184213v1 2024-05-12T08:10:55+00:00 SWEAT: Snow Water Equivalent with AlTimetry Unterberger, Manuela Hardwick, Stephen Agten, Dries Benninga, Jan, J. Diaz Schümmer, Carlos Donnerer, Julia, Maria Fischer, Georg Henriksen, Marie Hippert-Ferrer, Alexandre Jamali, Maryam Marinaci, Stefano Mould, Toby, Jd Phelan, Liam Rosker, Stephanie Schrenker, Caroline Schulze, Kerstin Telo, Jorge, Emanuel Monteiro, Bordalo Landbouw Economisch Instituut Wageningen University and Research Wageningen (WUR) Laboratoire d'Informatique, Systèmes, Traitement de l'Information et de la Connaissance (LISTIC) Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry ) Vienne, Austria 2017-04-23 https://hal.science/hal-02184213 https://hal.science/hal-02184213/document https://hal.science/hal-02184213/file/SWEAT.pdf en eng HAL CCSD hal-02184213 https://hal.science/hal-02184213 https://hal.science/hal-02184213/document https://hal.science/hal-02184213/file/SWEAT.pdf info:eu-repo/semantics/OpenAccess EGU General Assembly https://hal.science/hal-02184213 EGU General Assembly, Apr 2017, Vienne, Austria. pp.2017 - 16487 [SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph] info:eu-repo/semantics/conferenceObject Conference papers 2017 ftunigrenoble 2024-04-18T03:36:08Z International audience Team Orange would like to thank FFG and ESA for organising the Summer School Alpbach 2016. Also thanks to all the tutors and lecturers guiding Team Orange towards this product, and a special thank to our team tutors. Abstract Snow Water Equivalent (SWE) is not directly measured by current satellite missions but has a significant impact on society and our lack of understanding contributes to significant inaccuracies in current estimations of hydrological and climate models, calculations of the Earth's energy balance (albedo) and flood predictions. To address this, the SWEAT (Snow Water Equivalent with AlTimetry) mission aims to measure SWE directly on sea ice and land in the polar regions above 60 • and below-60 • latitude. The primary scientific objectives are to (a) improve estimations of global SWE from passive microwave products and (b) improve numerical snow and climate models. The mission will implement a novel combination of Ka-and Ku-band radioaltimeter technology, each providing different snow penetration properties. Airborne Laser altimeter campaigns will shadow the satellite orbit path early, middle and late winter for the first two years of the mission to confirm Ka-Band surface measurement accuracies. The combined difference in signal penetration results will enable more accurate determination of SWE.Therefore, the SWEAT mission aims to improve estimations of global SWE interpreted from passive microwave products, and improve the reliability of numerical snow and climate models. Conference Object Sea ice Université Grenoble Alpes: HAL |
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Université Grenoble Alpes: HAL |
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English |
topic |
[SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph] |
spellingShingle |
[SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph] Unterberger, Manuela Hardwick, Stephen Agten, Dries Benninga, Jan, J. Diaz Schümmer, Carlos Donnerer, Julia, Maria Fischer, Georg Henriksen, Marie Hippert-Ferrer, Alexandre Jamali, Maryam Marinaci, Stefano Mould, Toby, Jd Phelan, Liam Rosker, Stephanie Schrenker, Caroline Schulze, Kerstin Telo, Jorge, Emanuel Monteiro, Bordalo SWEAT: Snow Water Equivalent with AlTimetry |
topic_facet |
[SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph] |
description |
International audience Team Orange would like to thank FFG and ESA for organising the Summer School Alpbach 2016. Also thanks to all the tutors and lecturers guiding Team Orange towards this product, and a special thank to our team tutors. Abstract Snow Water Equivalent (SWE) is not directly measured by current satellite missions but has a significant impact on society and our lack of understanding contributes to significant inaccuracies in current estimations of hydrological and climate models, calculations of the Earth's energy balance (albedo) and flood predictions. To address this, the SWEAT (Snow Water Equivalent with AlTimetry) mission aims to measure SWE directly on sea ice and land in the polar regions above 60 • and below-60 • latitude. The primary scientific objectives are to (a) improve estimations of global SWE from passive microwave products and (b) improve numerical snow and climate models. The mission will implement a novel combination of Ka-and Ku-band radioaltimeter technology, each providing different snow penetration properties. Airborne Laser altimeter campaigns will shadow the satellite orbit path early, middle and late winter for the first two years of the mission to confirm Ka-Band surface measurement accuracies. The combined difference in signal penetration results will enable more accurate determination of SWE.Therefore, the SWEAT mission aims to improve estimations of global SWE interpreted from passive microwave products, and improve the reliability of numerical snow and climate models. |
author2 |
Landbouw Economisch Instituut Wageningen University and Research Wageningen (WUR) Laboratoire d'Informatique, Systèmes, Traitement de l'Information et de la Connaissance (LISTIC) Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry ) |
format |
Conference Object |
author |
Unterberger, Manuela Hardwick, Stephen Agten, Dries Benninga, Jan, J. Diaz Schümmer, Carlos Donnerer, Julia, Maria Fischer, Georg Henriksen, Marie Hippert-Ferrer, Alexandre Jamali, Maryam Marinaci, Stefano Mould, Toby, Jd Phelan, Liam Rosker, Stephanie Schrenker, Caroline Schulze, Kerstin Telo, Jorge, Emanuel Monteiro, Bordalo |
author_facet |
Unterberger, Manuela Hardwick, Stephen Agten, Dries Benninga, Jan, J. Diaz Schümmer, Carlos Donnerer, Julia, Maria Fischer, Georg Henriksen, Marie Hippert-Ferrer, Alexandre Jamali, Maryam Marinaci, Stefano Mould, Toby, Jd Phelan, Liam Rosker, Stephanie Schrenker, Caroline Schulze, Kerstin Telo, Jorge, Emanuel Monteiro, Bordalo |
author_sort |
Unterberger, Manuela |
title |
SWEAT: Snow Water Equivalent with AlTimetry |
title_short |
SWEAT: Snow Water Equivalent with AlTimetry |
title_full |
SWEAT: Snow Water Equivalent with AlTimetry |
title_fullStr |
SWEAT: Snow Water Equivalent with AlTimetry |
title_full_unstemmed |
SWEAT: Snow Water Equivalent with AlTimetry |
title_sort |
sweat: snow water equivalent with altimetry |
publisher |
HAL CCSD |
publishDate |
2017 |
url |
https://hal.science/hal-02184213 https://hal.science/hal-02184213/document https://hal.science/hal-02184213/file/SWEAT.pdf |
op_coverage |
Vienne, Austria |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
EGU General Assembly https://hal.science/hal-02184213 EGU General Assembly, Apr 2017, Vienne, Austria. pp.2017 - 16487 |
op_relation |
hal-02184213 https://hal.science/hal-02184213 https://hal.science/hal-02184213/document https://hal.science/hal-02184213/file/SWEAT.pdf |
op_rights |
info:eu-repo/semantics/OpenAccess |
_version_ |
1798854464746029056 |