Abstract

Global navigation satellite system reflectometry (GNSS-R)-derived winds from the cyclone GNSS (CYGNSS) satellite constellation are expected to significantly improve weather forecasts in the tropical region. Delay–Doppler maps (DDMs) acquired by the TechDemosat-1 (TDS-1) GNSS-R satellite mission suffer from distortions that are highly correlated to on-board specular point estimation inaccuracies. Such distortions may affect wind retrievals, especially when multilook approaches aiming at exploiting the ambiguity-free area of the DDM are applied. This article demonstrates: that CYGNSS DDMs are also affected by such distortions; the rationale of DDM shape asymmetries induced by specular point location inaccuracies; and a simple strategy for reducing such induced distortions. Two different datasets have been used, consisting of both regular and raw intermediate frequency CYGNSS measurements. The results show that, similar to TDS-1, the CYGNSS DDM distortions are correlated to specular point location inaccuracies. Furthermore, such inaccuracies are significantly reduced if more accurate specular point related parameters are used to recompress the raw GNSS-R echo, highlighting some sampling issues that are common to both TDS-1 and CYGNSS missions. These results suggest that multilook wind retrieval approaches aiming at exploiting also the peripheral parts of the DDM may be seriously compromised by such distortions. The latter may be substantially reduced by oversampling the outcoming DDM and by a posteriori choosing the proper DDM subsample. For future upcoming GNSS-R missions, it is strongly recommended to store the raw data for eventual reprocessing in case of miscalibration or processing issues such as those shown in this article.

Highlights

  • G LOBAL navigation satellite system reflectometry (GNSSR)-derived winds are expected to give a remarkable contribution to weather forecasts both in extreme and nominalManuscript received June 19, 2019; revised July 31, 2019; accepted August 26, 2019

  • A thorough discussion about the differences between cyclone global navigation satellite system (GNSS) (CYGNSS) and TDS-1 is beyond the scope of this article

  • The wider ΔfSP range for TDS-1 with respect to CYGNSS may lead to a higher correlation coefficient between ΔfSP and Δτ

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Summary

Introduction

G LOBAL navigation satellite system reflectometry (GNSSR)-derived winds are expected to give a remarkable contribution to weather forecasts both in extreme and nominalManuscript received June 19, 2019; revised July 31, 2019; accepted August 26, 2019. CYGNSS has been designed in order to have low sensitivity to rainfalls and high revisit time in the tropical belt Both features will hopefully help to improve the forecast of both kinematics and thermodynamics of TCs. It is well known that the DDM represents the distribution of the reflected GNSS incoming power among a set of delay– Doppler bins. Where τ is the delay coordinate in GNSS chip units (τc); and Δf is the Doppler coordinate, which is referred to the Doppler frequency at the SP (fSP) For both TDS-1 and CYGNSS, Δf is an integer multiple of the Doppler grid spacing δf. T is equal to 1 ms for both regular TDS-1 and CYGNSS DDMs, leading to a Doppler resolution of 1 kHz and a grid spacing δf equal to 500 Hz. It comes out that, according to the Shannon–Nyquist sampling theorem, the incoming GNSS-R signal is properly sampled and no signal information is lost. When the Doppler grid spacing is equal to the minimum required value, some distortions of the signal may occur and a proper signal reconstruction could be advised

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