Sea surface temperature retrieval based on simulated microwave polarimetric measurements of a one-dimensionalsynthetic aperture microwave radiometer

Mengyan Feng; Weihua Ai; Wen Lu; Chengju Shan; Shuo Ma; Guanyu Chen

doi:10.1007/s13131-021-1712-7

Volume 40 Issue 3

Apr. 2021

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Mengyan Feng, Weihua Ai, Wen Lu, Chengju Shan, Shuo Ma, Guanyu Chen. Sea surface temperature retrieval based on simulated microwave polarimetric measurements of a one-dimensionalsynthetic aperture microwave radiometer[J]. Acta Oceanologica Sinica, 2021, 40(3): 122-133. doi: 10.1007/s13131-021-1712-7

Citation:

Mengyan Feng, Weihua Ai, Wen Lu, Chengju Shan, Shuo Ma, Guanyu Chen. Sea surface temperature retrieval based on simulated microwave polarimetric measurements of a one-dimensionalsynthetic aperture microwave radiometer[J]. Acta Oceanologica Sinica, 2021, 40(3): 122-133. doi: 10.1007/s13131-021-1712-7

Citation:

Mengyan Feng, Weihua Ai, Wen Lu, Chengju Shan, Shuo Ma, Guanyu Chen. Sea surface temperature retrieval based on simulated microwave polarimetric measurements of a one-dimensionalsynthetic aperture microwave radiometer[J]. Acta Oceanologica Sinica, 2021, 40(3): 122-133. doi: 10.1007/s13131-021-1712-7

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Sea surface temperature retrieval based on simulated microwave polarimetric measurements of a one-dimensionalsynthetic aperture microwave radiometer

doi: 10.1007/s13131-021-1712-7

1.
College of Meteorology and Oceanography, National University of Defense Technology, Nanjing 211101, China
2.
Zhejiang University of Water Resources and Electric Power, Hangzhou 310000, China
3.
PLA Troop 32033, Haikou 570100, China

Funds: The National Natural Science Foundation of China under contract Nos 41475019 and 41705007.

More Information

Corresponding author: E-mail: a1044175130@163.com
Received Date: 2020-04-09
Accepted Date: 2020-06-03

Available Online: 2021-04-30

Publish Date: 2021-04-30

Abstract

Abstract

Compared with traditional real aperture microwave radiometers, one-dimensional synthetic aperture microwave radiometers have higher spatial resolution. In this paper, we proposed to retrieve sea surface temperature using a one-dimensional synthetic aperture microwave radiometer that operates at frequencies of 6.9 GHz, 10.65 GHz, 18.7 GHz and 23.8 GHz at multiple incidence angles. We used the ERA5 reanalysis data provided by the European Centre for Medium-Range Weather Forecasts and a radiation transmission forward model to calculate the model brightness temperature. The brightness temperature measured by the spaceborne one-dimensional synthetic aperture microwave radiometer was simulated by adding Gaussian noise to the model brightness temperature. Then, a backpropagation (BP) neural network algorithm, a random forest (RF) algorithm and two multiple linear regression algorithms (RE1 and RE2) were developed to retrieve sea surface temperature from the measured brightness temperature within the incidence angle range of 0°–65°. The results show that the retrieval errors of the four algorithms increase with the increasing Gaussian noise. The BP achieves the lowest retrieval errors at all incidence angles. The retrieval error of the RE1 and RE2 decrease first and then increase with the incidence angle and the retrieval error of the RF is contrary to that of RE1 and RE2.
- one-dimensional synthetic aperture microwave radiometer,
- sea surface temperature retrieval,
- neural network,
- random forest,
- multiple linear regression

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References(37)

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