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.

Highlights

  • Global Navigation Satellite System Reflectometry (GNSS-R) is an innovative and rapidly developing approach to Earth Observation (EO) that makes use of signals of opportunity from Global Navigation Satellite Systems (GNSS), which have been reflected from the Earth's surface

  • This paper focuses once again on GNSS-R for ocean winds, but for the first time, considers the temporal evolution of TDS-1 ocean wind speed retrieval performance over 3 years based on a single consistent methodology

  • This paper presents the GNSS-R ocean wind speed retrieval performance of TDS-1 estimated at monthly intervals over 3 years

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Summary

Introduction

Global Navigation Satellite System Reflectometry (GNSS-R) is an innovative and rapidly developing approach to Earth Observation (EO) that makes use of signals of opportunity from Global Navigation Satellite Systems (GNSS), which have been reflected from the Earth's surface. Remote Sensing of Environment 242 (2020) 111744 opportunity of a sustainable low-cost Earth Observation system with high spatial resolution and coverage and significantly better temporal sampling than present-day satellites Another advantage of GNSS-R is the use of L-band microwave signals (~20 cm wavelength) which are less sensitive to atmospheric attenuation by atmospheric water vapour and precipitation than other higher frequency microwave sensors, allowing for better wind estimates under heavy rain, including in hurricane conditions (Foti et al, 2017a). Since TDS-1 GNSS-R signals are affected by non-geophysical factors, notably platform attitude uncertainty, ambient noise hotspots (Foti et al, 2017b), and GPS transmitter power, it is informative to examine how the TDS-1 wind retrieval performance, estimated with one consistent inversion and validation methodology, varies geographically and temporally through the lifetime of the mission. Statistical simulations confirm the sensitivity of TDS-1 wind retrieval performance to platform attitude uncertainty (Section 4), leading to important recommendations for future GNSS-R missions (Section 5)

TDS-1 mission and GNSS-R data
NOC C-BRE wind speed algorithm
ERA5 re-analysis data
Overall performance during the TDS-1 PGM period
Performance over time
Performance in geographical space
Effects of GPS transmitter power changes on wind speed retrieval performance
Effects of attitude on wind performance
Conclusions and recommendations
May 2015 May 2016
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