Version 1
: Received: 4 September 2024 / Approved: 4 September 2024 / Online: 9 September 2024 (04:30:56 CEST)
How to cite:
Rong, P.; Su, H. Assessment of CCMP in Capturing High Winds with Respect to Individual Satellite Datasets. Preprints2024, 2024090415. https://doi.org/10.20944/preprints202409.0415.v1
Rong, P.; Su, H. Assessment of CCMP in Capturing High Winds with Respect to Individual Satellite Datasets. Preprints 2024, 2024090415. https://doi.org/10.20944/preprints202409.0415.v1
Rong, P.; Su, H. Assessment of CCMP in Capturing High Winds with Respect to Individual Satellite Datasets. Preprints2024, 2024090415. https://doi.org/10.20944/preprints202409.0415.v1
APA Style
Rong, P., & Su, H. (2024). Assessment of CCMP in Capturing High Winds with Respect to Individual Satellite Datasets. Preprints. https://doi.org/10.20944/preprints202409.0415.v1
Chicago/Turabian Style
Rong, P. and Hui Su. 2024 "Assessment of CCMP in Capturing High Winds with Respect to Individual Satellite Datasets" Preprints. https://doi.org/10.20944/preprints202409.0415.v1
Abstract
High-wind structures were identified in the Cross-Calibrated Multi-Platform (CCMP) ocean wind vector reanalysis for comparison with winds measured by satellite radiometers and synthetical aperture radar (SAR) instruments from February to October 2023. The comparison aims to evaluate bias, uncertainty, and spatial correlations with the goal of enhancing the accuracy of ocean wind datasets during tropical cyclones (TCs). In 10°longitude×10°latitude blocks, each containing a TC, Soil Moisture Active Passive (SMAP) and Advanced Microwave Scanning Radiometer 2 (AMSR2) winds are 6.5% and 4.8% higher than CCMP, while Advanced Scatterometer (ASCATB) is 0.8% lower. For extratropical cyclones, AMSR2 and SMAP also show stronger winds with a 5% difference, and ASCATB is about 0.3% weaker compared to CCMP. The comparison between SAR and CCMP for TC winds, sampled at the locations and time frames of SAR tiles, indicates that SAR winds around TCs are about 9% higher than CCMP winds. Using empirically defined TC structural indices, we find that the TCs observed by CCMP are shifted in locations and lack a compact core region. A Random Forest (RF) regressor was applied to TCs in CCMP with corresponding SAR observations, nearly correcting the full magnitude of low bias in CCMP statistically, with a 15m/s correction in the core region. The hierarchy of importance among the predictors is as follows: CCMP wind speed (62%), distance of SAR pixels to the eye region (21%) and eye center (7%), and distance of CCMP pixels to the eye region (5%) and eye center.
Keywords
CCMP; SAR; radiometers; ocean winds; mean percent differences; Random Forest (RF) regressor
Subject
Environmental and Earth Sciences, Atmospheric Science and Meteorology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
