Coastal wind retrieval from the China-France oceanography satellite scatterometer

Lin Wenming; Lang Shuyan; Zhao Xiaokang; Liu Jianqiang; Li Xiuzhong

doi:10.12284/hyxb2021157

Volume 43 Issue 10

Oct. 2021

Turn off MathJax

Article Contents

Article Navigation > Haiyang Xuebao > 2021 > 43(10): 115-123

Lin Wenming，Lang Shuyan，Zhao Xiaokang, et al. Coastal wind retrieval from the China-France oceanography satellite scatterometer[J]. Haiyang Xuebao，2021, 43(10)：115–123 doi: 10.12284/hyxb2021157

Citation:

PDF( 3736 KB)

Coastal wind retrieval from the China-France oceanography satellite scatterometer

doi: 10.12284/hyxb2021157

1.
School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China
2.
National Satellite Ocean Application Service, Beijing 100081, China
3.
Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 511458, China

Received Date: 2020-09-16
Rev Recd Date: 2021-01-25

Available Online: 2021-08-27

Publish Date: 2021-10-30

Abstract

Abstract

The scatterometer onboard China-France oceanography satellite (CFOSAT) uses rotating fan beams to measure sea surface radar backscatter values at different incidence and azimuth angles. The backscatter measurements of CFOSAT scatterometer (CSCAT) are with relatively high spatial resolution. Therefore, it presents unprecedented opportunities for retrieving offshore wind fields. This paper introduces the main procedures as well as the key techniques of the coastal wind retrieval for CSCAT. In particular, a box-window is used to aggregate the high-resolution backscatters (namely slices in the level 1B data) into a certain wind vector cell (WVC) before performing the wind inversion. The coastal winds derived from the advanced scatterometer (ASCAT) and the QuikSCAT scatterometer are then used to verify the results of CSCAT coastal wind retrieval. It shows that the CSCAT winds are of good quality over the sea surface with offshore distance larger than 40 km, but degrades rapidly in quality for WVCs with offshore distance below 40 km. Further analysis indicates that the degraded statistical scores are mainly caused by some outliers that may be contaminated by the sea ice. In general, the CSCAT offshore winds are in good agreement with both the model forecasts and the buoy winds.
- China-France oceanography satellite,
- scatterometer,
- off-shore,
- wind inversion,
- statistical scores

FullText(HTML)

References(17)

References

[1]	Johnson J, Williams L, Bracalente E, et al. Seasat-A satellite scatterometer instrument evaluation[J]. IEEE Journal of Oceanic Engineering, 1980, 5(2): 138−144. doi: 10.1109/JOE.1980.1145461
[2]	Tsai W Y, Graf J E, Winn C, et al. Postlaunch sensor verification and calibration of the NASA scatterometer[J]. IEEE Transactions on Geoscience and Remote Sensing, 1999, 37(3): 1517−1542. doi: 10.1109/36.763264
[3]	Figa-Saldaña J, Wilson J J W, Attema E, et al. The advanced scatterometer (ASCAT) on the meteorological operational (Metop) platform: A follow on for European wind scatterometers[J]. Canadian Journal of Remote Sensing, 2002, 28(3): 404−412. doi: 10.5589/m02-035
[4]	Wang Zhixiong, Zhao Chaofang, Zou Juhong, et al. An improved wind retrieval algorithm for the HY-2A scatterometer[J]. Chinese Journal of Oceanology and Limnology, 2015, 33(5): 1201−1209. doi: 10.1007/s00343-015-4145-3
[5]	Bhowmick S A, Kumar R, Kumar A S K. Cross calibration of the OceanSAT-2 scatterometer with QuikSCAT scatterometer using natural terrestrial targets[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(6): 3393−3398. doi: 10.1109/TGRS.2013.2272738
[6]	Long D G, Luke J B, Plant W. Ultra high resolution wind retrieval for SeaWinds[C]// 2003 IEEE International Geoscience and Remote Sensing Symposium. Toulouse: IEEE, 2003: 1264−1266.
[7]	Fore A, Strub T, James C, et al. Evaluation of coastal scatterometer products[R]. Sapporo: Present at the International Ocean Vector Winds Science Team Meeting, 2016.
[8]	Verhoef A, Portabella M, Stoffelen A. High-resolution ASCAT scatterometer winds near the coast[J]. IEEE Transactions on Geoscience and Remote Sensing, 2012, 50(7): 2481−2487. doi: 10.1109/TGRS.2011.2175001
[9]	Vogelzang J, Stoffelen A. ASCAT ultrahigh-resolution wind products on optimized grids[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10(5): 2332−2339. doi: 10.1109/JSTARS.2016.2623861
[10]	Lin Wenming, Dong Xiaolong, Portabella M, et al. A perspective on the performance of the CFOSAT rotating fan-beam scatterometer[J]. IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(2): 627−639. doi: 10.1109/TGRS.2018.2858852
[11]	Liu Jianqiang, Lin Wenming, Dong Xiaolong, et al. First results from the rotating fan beam scatterometer onboard CFOSAT[J]. IEEE Transactions on Geoscience and Remote Sensing, 2020, 58(12): 8793−8806. doi: 10.1109/TGRS.2020.2990708
[12]	Stoffelen A, Portabella M. On Bayesian scatterometer wind inversion[J]. IEEE Transactions on Geoscience and Remote Sensing, 2006, 44(6): 1523−1533. doi: 10.1109/TGRS.2005.862502
[13]	KNMI Scatterometer Team. NSCAT-4 Geophysical Model Function, 2020[EB/OL]. [2020−09−15]. http://projects.knmi.nl/scatterometer/nscat_gmf/.
[14]	Vogelzang J, Stoffelen A, Verhoef A, et al. Validation of two-dimensional variational ambiguity removal on SeaWinds scatterometer data[J]. Journal of Atmospheric and Oceanic Technology, 2009, 26(7): 1229−1245. doi: 10.1175/2008JTECHA1232.1
[15]	Zhang Kuo, Dong Xiaolong, Zhu Di, et al. Estimation and correction of geolocation errors of the CFOSAT scatterometer using coastline backscatter coefficients[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, 14: 53−61.
[16]	Lin Wenming, Portabella M. Toward an improved wind quality control for RapidScat[J]. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(7): 3922−3930. doi: 10.1109/TGRS.2017.2683720
[17]	Li Zhen, Stoffelen A, Verhoef A. A generalized simulation capability for rotating-beam scatterometers[J]. Atmospheric Measurement Techniques, 2019, 12(7): 3573−3594. doi: 10.5194/amt-12-3573-2019