Fusion Retrieval of Sea Surface Barometric Pressure from the Microwave Humidity and Temperature Sounder and Microwave Temperature Sounder-II Onboard the Fengyun-3 Satellite

Qiurui He,Jiaoyang Li,Zhenzhan Wang

doi:10.3390/rs14020276

Abstract

Both the Microwave Humidity and Temperature Sounder (MWHTS) and the Microwave Temperature Sounder-II (MWTS-II) operate on the Fengyun-3 (FY-3) satellite platform, which provides an opportunity to retrieve the sea surface barometric pressure (SSP) with high accuracy by fusing the observations from the 60 GHz, 118.75 GHz, and 183.31 GHz channels. The theory of retrieving SSP using passive microwave observations is analyzed, and the sensitivity test experiments of MWHTS and MWTS-II to SSP as well as the test experiments of the contributions of MWHTS and MWTS-II to SSP retrieval are carried out. The theoretical channel combination is established based on the theoretical analysis, and the SSP retrieval experiment is carried out based on the Deep Neural Network (DNN) for the theoretical channel combination. The experimental results show that the retrieval accuracy of SSP using the theoretical channel combination is higher than that of MWHTS or MWTS-II. In addition, based on the test results of the contributions of MWHTS and MWTS-II to the retrieval SSP, the optimal theoretical channel combination can be built, and can further improve the retrieval accuracy of SSP from the theoretical channel combination.

Highlights

Sea surface barometric pressure (SSP) is an important atmospheric parameter that plays an essential role in applications such as numerical weather prediction (NWP), tropical cyclone forecasting and analysis, and climatological studies [1,2,3]
The test results of the contribution of each channel of Microwave Humidity and Temperature Sounder (MWHTS) and Microwave Temperature Sounder-II (MWTS-II) to the SSP retrieval in Experiment 1, and the retrieval results of SSP from the theoretical channel combination and the optimal theoretical channel combination in Experiment 2, are presented, where the SSP from ERA-Interim reanalysis in the testing dataset is used as the truth value to verify the retrieval accuracy, i.e., the root mean square error (RMSE) between the SSP
MWTS-II to the SSP retrieval in Experiment 1, and the retrieval results of SSP from the 16 of theoretical channel combination and the optimal theoretical channel combination in Experiment 2, are presented, where the SSP from ERA-Interim reanalysis in the testing dataset is used as the truth value to verify the retrieval accuracy, i.e., the RMSE between the ERA-Interim andbetween the predicted retrieval of SSP is calculated, the correlation ficient and the mean bias them are presented for furtherand explanation of the coefficient and the mean bias between them are presented for further explanation of retrieval results

Summary

Introduction

Sea surface barometric pressure (SSP) is an important atmospheric parameter that plays an essential role in applications such as numerical weather prediction (NWP), tropical cyclone forecasting and analysis, and climatological studies [1,2,3]. SSP is significant in various theoretical studies in the field of atmospheric remote sensing. SSP has mainly been obtained by in situ measurements, such as barometers onboard buoys, merchant ships, and airborne platforms, which are sparse in spatial coverage and high cost in implementation [4]. Both the spatial and temporal coverage and resolution of the in situ measurements are limited, which restrict the effectiveness and scope of the application of SSP in the field of atmospheric science. Compared to many remote sensing techniques of SSP, such as raster spectrometer, airborne differential absorption

Methods

Results

Conclusion