id ftunigrenoble:oai:HAL:hal-02184213v1
record_format openpolar
spelling 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
institution Open Polar
collection Université Grenoble Alpes: HAL
op_collection_id ftunigrenoble
language 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