4.7 Article

Validation of NOAA CyGNSS Wind Speed Product with the CCMP Data

Journal

REMOTE SENSING
Volume 13, Issue 9, Pages -

Publisher

MDPI
DOI: 10.3390/rs13091832

Keywords

sea surface wind speed; global satellite navigation system reflectometry (GNSS-R); validation

Funding

  1. National Key Research and Development Plan [2016YFC1401003, 2017YFB050802]
  2. National Natural Science Foundation of China [41774028, 41676167]
  3. Zhejiang Provincial Natural Science Foundation of China [LR21D060002]
  4. Key R&D Project of Shandong Province [2019JZZY010102]
  5. Project of State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography [SOEDZZ2003]
  6. Strategic Priority Research Program of the Chinese Academy of Sciences [XDA19090103, XDB42000000]
  7. Spanish Ministry of Economy and Competitiveness
  8. EU/FEDER [ESP2015-70014-C2-2-R]
  9. Ramon y Cajal Program [RYC2019-027000-I]
  10. ESA-MOST Dragon-4 project [32249]
  11. ESA-MOST Dragon-5 project [58009]

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The study evaluated the accuracy of NOAA's CyGNSS wind product compared to the CCMP wind product from RSS, revealing good agreement between the two but with negative deviation at high latitudes and positive deviation in certain regions such as the China Sea and Arabian Sea. These findings suggest geographical anomalies in the bias and standard deviation of CyGNSS winds, indicating a temporal dependency in wind speed bias.
The National Aeronautics and Space Administration (NASA) Cyclone Global Navigation Satellite System (CyGNSS) mission was launched in December 2016, which can remotely sense sea surface wind with a relatively high spatio-temporal resolution for tracking tropical cyclones. In recent years, with the gradual development of the geophysical model function (GMF) for CyGNSS wind retrieval, different versions of CyGNSS Level 2 products have been released and their performance has gradually improved. This paper presents a comprehensive evaluation of CyGNSS wind product v1.1 produced by the National Oceanic and Atmospheric Administration (NOAA). The Cross-Calibrated Multi-Platform (CCMP) analysis wind (v02.0 and v02.1 near real time) products produced by Remote Sensing Systems (RSS) were used as the reference. Data pairs between the NOAA CyGNSS and RSS CCMP products were processed and evaluated by the bias and standard deviation SD. The CyGNSS dataset covers the period between May 2017 and December 2020. The statistical comparisons show that the bias and SD of CyGNSS relative to CCMP-nonzero collocations when the flag of CCMP winds is nonzero are -0.05 m/s and 1.19 m/s, respectively. The probability density function (PDF) of the CyGNSS winds coincides with that of CCMP-nonzero. Furthermore, the average monthly bias and SD show that CyGNSS wind is consistent and reliable generally. We found that negative deviation mainly appears at high latitudes in both hemispheres. Positive deviation appears in the China Sea, the Arabian Sea, and the west of Africa and South America. Spatial-temporal analysis demonstrates the geographical anomalies in the bias and SD of the CyGNSS winds, confirming that the wind speed bias shows a temporal dependency. The verification and comparison show that the remotely sensed wind speed measurements from NOAA CyGNSS wind product v1.1 are in good agreement with CCMP winds.

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