Temporal variability of GNSS-Reflectometry ocean wind speed retrieval performance during the UK TechDemoSat-1 mission

This paper presents the temporal evolution of Global Navigation Satellite System Reflectometry (GNSS-R) ocean wind speed retrieval performance during three years of the UK TechDemoSat-1 (TDS-1) mission. TDS-1 was launched in July 2014 and provides globally distributed spaceborne GNSS-R data over a l...

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Published in:Remote Sensing of Environment
Main Authors: Hammond, Matthew Lee, Foti, Giuseppe, Gommenginger, Christine, Srokosz, Meric
Format: Article in Journal/Newspaper
Language:English
Published: 2020
Subjects:
Online Access:https://eprints.soton.ac.uk/440532/
https://eprints.soton.ac.uk/440532/1/1_s2.0_S0034425720301140_main.pdf
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spelling ftsouthampton:oai:eprints.soton.ac.uk:440532 2023-07-30T04:05:38+02:00 Temporal variability of GNSS-Reflectometry ocean wind speed retrieval performance during the UK TechDemoSat-1 mission Hammond, Matthew Lee Foti, Giuseppe Gommenginger, Christine Srokosz, Meric 2020-06-01 text https://eprints.soton.ac.uk/440532/ https://eprints.soton.ac.uk/440532/1/1_s2.0_S0034425720301140_main.pdf en English eng https://eprints.soton.ac.uk/440532/1/1_s2.0_S0034425720301140_main.pdf Hammond, Matthew Lee, Foti, Giuseppe, Gommenginger, Christine and Srokosz, Meric (2020) Temporal variability of GNSS-Reflectometry ocean wind speed retrieval performance during the UK TechDemoSat-1 mission. Remote Sensing of Environment, 242, [111744]. (doi:10.1016/j.rse.2020.111744 <http://dx.doi.org/10.1016/j.rse.2020.111744>). cc_by_4 Article PeerReviewed 2020 ftsouthampton https://doi.org/10.1016/j.rse.2020.111744 2023-07-09T22:36:17Z This paper presents the temporal evolution of Global Navigation Satellite System Reflectometry (GNSS-R) ocean wind speed retrieval performance during three years of the UK TechDemoSat-1 (TDS-1) mission. TDS-1 was launched in July 2014 and provides globally distributed spaceborne GNSS-R data over a lifespan of over three years, including several months of 24/7 operations. TDS-1 wind speeds are computed using the NOC Calibrated Bistatic Radar Equation algorithm version 0.5 (C-BRE v0.5), and are evaluated against ERA5 high resolution re-analysis data over the period 2015–2018. Analyses reveal significant temporal variability in TDS-1 monthly wind speed retrieval performance over the three years, with the best performance (~2 m∙s−1) achieved in the early part of the mission (May 2015). The temporal variability of retrieval performance is found to be driven by several non-geophysical factors, including TDS-1 platform attitude uncertainty and spatial/temporal changes in GPS transmit power from certain satellites. Evidence is presented of the impact of the GPS Block IIF Flex mode on retrieved GNSS-R wind speed after January 2017, which results in significantly underestimated ocean winds over a large region covering the North Atlantic, northern Indian Ocean, the Mediterranean, the Black Sea, and the Sea of Okhotsk. These GPS transmit power changes are shown to induce large negative wind speed biases of up to 3 m∙s−1. Analyses are also presented of the sensitivity of TDS-1 wind speed retrieval to platform attitude uncertainty using statistical simulations. It is suggested that a 4° increase in attitude uncertainty can produce up to 1 m∙s−1 increase in RMSE, and that TDS-1 attitude data do not fully reflect actual platform attitude. We conclude that the lack of knowledge about the GNSS-R nadir antenna gain map and TDS-1 platform-attitude limits the ability to determine the achievable wind speed retrieval performance with GNSS-R on TDS-1. The paper provides recommendations that accurate attitude knowledge and a good ... Article in Journal/Newspaper North Atlantic University of Southampton: e-Prints Soton Indian Okhotsk Remote Sensing of Environment 242 111744
institution Open Polar
collection University of Southampton: e-Prints Soton
op_collection_id ftsouthampton
language English
description This paper presents the temporal evolution of Global Navigation Satellite System Reflectometry (GNSS-R) ocean wind speed retrieval performance during three years of the UK TechDemoSat-1 (TDS-1) mission. TDS-1 was launched in July 2014 and provides globally distributed spaceborne GNSS-R data over a lifespan of over three years, including several months of 24/7 operations. TDS-1 wind speeds are computed using the NOC Calibrated Bistatic Radar Equation algorithm version 0.5 (C-BRE v0.5), and are evaluated against ERA5 high resolution re-analysis data over the period 2015–2018. Analyses reveal significant temporal variability in TDS-1 monthly wind speed retrieval performance over the three years, with the best performance (~2 m∙s−1) achieved in the early part of the mission (May 2015). The temporal variability of retrieval performance is found to be driven by several non-geophysical factors, including TDS-1 platform attitude uncertainty and spatial/temporal changes in GPS transmit power from certain satellites. Evidence is presented of the impact of the GPS Block IIF Flex mode on retrieved GNSS-R wind speed after January 2017, which results in significantly underestimated ocean winds over a large region covering the North Atlantic, northern Indian Ocean, the Mediterranean, the Black Sea, and the Sea of Okhotsk. These GPS transmit power changes are shown to induce large negative wind speed biases of up to 3 m∙s−1. Analyses are also presented of the sensitivity of TDS-1 wind speed retrieval to platform attitude uncertainty using statistical simulations. It is suggested that a 4° increase in attitude uncertainty can produce up to 1 m∙s−1 increase in RMSE, and that TDS-1 attitude data do not fully reflect actual platform attitude. We conclude that the lack of knowledge about the GNSS-R nadir antenna gain map and TDS-1 platform-attitude limits the ability to determine the achievable wind speed retrieval performance with GNSS-R on TDS-1. The paper provides recommendations that accurate attitude knowledge and a good ...
format Article in Journal/Newspaper
author Hammond, Matthew Lee
Foti, Giuseppe
Gommenginger, Christine
Srokosz, Meric
spellingShingle Hammond, Matthew Lee
Foti, Giuseppe
Gommenginger, Christine
Srokosz, Meric
Temporal variability of GNSS-Reflectometry ocean wind speed retrieval performance during the UK TechDemoSat-1 mission
author_facet Hammond, Matthew Lee
Foti, Giuseppe
Gommenginger, Christine
Srokosz, Meric
author_sort Hammond, Matthew Lee
title Temporal variability of GNSS-Reflectometry ocean wind speed retrieval performance during the UK TechDemoSat-1 mission
title_short Temporal variability of GNSS-Reflectometry ocean wind speed retrieval performance during the UK TechDemoSat-1 mission
title_full Temporal variability of GNSS-Reflectometry ocean wind speed retrieval performance during the UK TechDemoSat-1 mission
title_fullStr Temporal variability of GNSS-Reflectometry ocean wind speed retrieval performance during the UK TechDemoSat-1 mission
title_full_unstemmed Temporal variability of GNSS-Reflectometry ocean wind speed retrieval performance during the UK TechDemoSat-1 mission
title_sort temporal variability of gnss-reflectometry ocean wind speed retrieval performance during the uk techdemosat-1 mission
publishDate 2020
url https://eprints.soton.ac.uk/440532/
https://eprints.soton.ac.uk/440532/1/1_s2.0_S0034425720301140_main.pdf
geographic Indian
Okhotsk
geographic_facet Indian
Okhotsk
genre North Atlantic
genre_facet North Atlantic
op_relation https://eprints.soton.ac.uk/440532/1/1_s2.0_S0034425720301140_main.pdf
Hammond, Matthew Lee, Foti, Giuseppe, Gommenginger, Christine and Srokosz, Meric (2020) Temporal variability of GNSS-Reflectometry ocean wind speed retrieval performance during the UK TechDemoSat-1 mission. Remote Sensing of Environment, 242, [111744]. (doi:10.1016/j.rse.2020.111744 <http://dx.doi.org/10.1016/j.rse.2020.111744>).
op_rights cc_by_4
op_doi https://doi.org/10.1016/j.rse.2020.111744
container_title Remote Sensing of Environment
container_volume 242
container_start_page 111744
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