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

Temporal variability of GNSS-Reflectometry ocean wind speed retrieval performance during the UK TechDemoSat-1 mission
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 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 characterisation of GNSS-R nadir antenna patterns should be prioritised for future GNSS-R missions.
Attitude, GNSS Reflectometry (GNSS-R), GNSS remote sensing, GPS flex mode, Global Navigation Satellite System (GNSS), Ocean remote sensing, Ocean wind speed, TechDemoSat-1 (TDS-1)
0034-4257
Hammond, Matthew Lee
641e54ff-85d8-4133-857d-c54a17459333
Foti, Giuseppe
d77b7bb4-b489-4fce-b5d7-d2f983c8509f
Gommenginger, Christine
f0db32be-34bb-44da-944b-c6b206ca4143
Srokosz, Meric
1e0442ce-679f-43f2-8fe4-9a0f0174d483
Hammond, Matthew Lee
641e54ff-85d8-4133-857d-c54a17459333
Foti, Giuseppe
d77b7bb4-b489-4fce-b5d7-d2f983c8509f
Gommenginger, Christine
f0db32be-34bb-44da-944b-c6b206ca4143
Srokosz, Meric
1e0442ce-679f-43f2-8fe4-9a0f0174d483

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).

Record type: Article

Abstract

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 characterisation of GNSS-R nadir antenna patterns should be prioritised for future GNSS-R missions.

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Published date: 1 June 2020
Keywords: Attitude, GNSS Reflectometry (GNSS-R), GNSS remote sensing, GPS flex mode, Global Navigation Satellite System (GNSS), Ocean remote sensing, Ocean wind speed, TechDemoSat-1 (TDS-1)

Identifiers

Local EPrints ID: 440532
URI: http://eprints.soton.ac.uk/id/eprint/440532
ISSN: 0034-4257
PURE UUID: a84483ae-b40a-4d5f-b760-1e9597990a5f

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Date deposited: 06 May 2020 16:32
Last modified: 16 Mar 2024 07:47

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Contributors

Author: Matthew Lee Hammond
Author: Giuseppe Foti
Author: Christine Gommenginger
Author: Meric Srokosz

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