Results 1 to 10 of about 42 (39)
Application of the Deep Neural Network in Retrieving the Atmospheric Temperature and Humidity Profiles from the Microwave Humidity and Temperature Sounder Onboard the Feng-Yun-3 Satellite [PDF]
Sensors, 2021 The shallow neural network (SNN) is a popular algorithm in atmospheric parameters retrieval from microwave remote sensing. However, the deep neural network (DNN) has a stronger nonlinear mapping capability compared to SNN and has great potential for ...
Qiurui He, Zhenzhan Wang, Jiaoyang Li
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Precipitation Retrieval From Fengyun-3D MWHTS and MWRI Data Using Deep Learning
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 In this article, two multitask deep learning models, multilayer perceptron (MLP) and convolutional neural networks (CNNs) are constructed to detect precipitation flags and retrieve precipitation rates simultaneously over the Northwest Pacific area.
Kangwen Liu, Jieying He, Haonan Chen
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Remote Sensing, 2022 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 ...
Qiurui He, Zhenzhan Wang, Jiaoyang Li
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Remote Sensing, 2022 As an important component of the Earth system, precipitation plays a vital role in regional and global water cycles. Based on Microwave Humidity and Temperature Sounder (MWHTS) onboard FY-3D satellite, four machine learning models, random forest ...
Kangwen Liu, Jieying He, Haonan Chen
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Remote Sensing, 2022 The 60 GHz and 118 GHz oxygen absorption bands are prominent in the passive microwave remote sensing of atmospheric temperature, and also can be used for sounding sea surface barometric pressure (SSP).
Qiurui He +3 more
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Remote Sensing, 2022 The special geographical location of the polar regions increases the difficulty of modeling surface emissivity, thus the physical retrieval algorithms of the temperature and humidity profiles for microwave radiometers mainly focus on the regions between ...
Lanjie Zhang +3 more
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Atmosphere, 2016 The microwave humidity and temperature sounder (MWHTS) on the Fengyun (FY)-3C satellite measures the outgoing radiance from the Earth’s surface and atmospheric constituents.
Qiurui He, Zhenzhan Wang, Jieying He
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Data Assimilation using MWHTS Onboard FY-3C Satellite for Typhoon Case
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019 The microwave radiation data from the microwave humidity and temperature sounder (MWHTS) onboard FY-3C meteorological satellite was employed in the data assimilation system to estimate the impact of this data on typhoon forecasts. 118.75-GHz and 183.31-GHz channels from the MWHTS provide atmospheric temperature and humidity profile measurements ...
Na Li, Shengwei Zhang, Jieying He
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Remote Sensing, 2019 The evolution process of hurricane Matthew (NO. 8, 2016) was simulated using the mesoscale Weather Research and Forecasting (WRF) model at temporal resolution of 5 min and spatial resolution of 15 km.
Jieying He, Haonan Chen
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Precipitation Retrievals in typhoon domain combining of FY3C MWHTS Observations and WRF Predicted Models [PDF]
IOP Conference Series: Earth and Environmental Science, 2017 A passive sub-millimeter precipitation retrievals algorithm is provided based on Microwave Humidity and Temperature Sounder (MWHTS) onboard the Chinese Feng Yun 3C (FY-3C) satellite. Using the validated global reference physical model NCEP/WRF/VDISORT), NCEP data per 6 hours are downloaded to run the Weather Research and Forecast model WRF, and derive ...
HE Jieying, ZHANG Shengwei, LI Na
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