Results 21 to 30 of about 1,456,367 (121)

Radio‐Frequency Interference Identification and Correction for Microwave Radiation Imager on FY‐3G Using a Deep Neural Network Model

Atmospheric Science Letters
This study addresses the challenge of radio‐frequency interference (RFI) in brightness temperature (BT) observations from China's FY‐3G satellite, a low‐inclination‐orbit platform equipped with a Microwave Radiation Imager (MWRI) designed for ...
Xiao Wenyan, Fang Xiang, Yang Jun
doaj   +2 more sources

Inter-Calibration of Passive Microwave Satellite Brightness Temperature Observations between FY-3D/MWRI and GCOM-W1/AMSR2

Remote Sensing
Microwave sensors possess the capacity to effectively penetrate through clouds and fog and are widely used in obtaining soil moisture, atmospheric water vapor, and surface temperature measurements. Long time-series datasets play a pivotal role in climate
Zuomin Xu, Ruijing Sun, Shuang Wu, Jiali Shao, Jie Chen   +4 more
doaj   +2 more sources

An improved Antarctic sea-ice snow depth product from FY-3 MWRI with enhanced seasonal adaptability

Big Earth Data
Accurate estimation of snow depth on Antarctic sea ice is critical for understanding ice mass balance, surface thermodynamics, and satellite-altimetry-based sea ice thickness retrievals.
Zhongnan Yan, Yueyun Wang, Xiaoping Pang, Bin He   +3 more
doaj   +2 more sources

Arctic Sea Ice Surface Temperature Inversion Using FY-3D/MWRI Brightness Temperature Data

Remote Sensing
The Arctic plays a crucial role in the intricate workings of the global climate system. With the rapid development of information technology, satellite remote sensing technology has emerged as the main method for sea ice surface temperature (IST ...
Xin Meng, Haihua Chen, Jun Liu, Kun Ni, Lele Li   +4 more
doaj   +2 more sources

Consistency Assessment and Cross-Calibration of Passive Microwave Brightness Temperature from FY-3G/MWRI-RM and GCOM-W1/AMSR2

Remote Sensing
Microwave-based remote sensing possesses the capability to penetrate through atmospheric obstructions such as cloud layers and fog, making it extensively utilized for estimating parameters including soil water content, atmospheric moisture levels, and ...
Shuang Wu, Zuomin Xu, Ruijing Sun, Jie Chen, Yuguang Li, Yuhan Jiang   +5 more
doaj   +2 more sources

Impact of FY-3D MWRI and MWHS-2 Radiance Data Assimilation in WRFDA System on Forecasts of Typhoon Muifa

Remote Sensing
This study investigates the impact of assimilating FY-3D Microwave Radiation Imager (MWRI) radiance data into the Weather Research and Forecasting (WRF) model, utilizing a 3D-Var data assimilation system, on the forecast accuracy of Typhoon Muifa (2022).
Feifei Shen, Jiahao Zhang, Si Cheng, Changchun Pei, Dongmei Xu, Xiaolin Yuan   +5 more
doaj   +2 more sources

A Spatial Resolution Enhancement Method of Microwave Radiation Imager Data Based on Data Matching and Transformer

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The microwave radiation imager (MWRI) onboard the Fengyun-3D satellite can provide valuable observation data in many fields such as meteorological research and weather forecasting. However, its coarse spatial resolution limits data application. Recently,
Zhou Zhang, Zhenzhan Wang, Xiaolin Tong
doaj   +2 more sources

Inter-Comparison of SST Products from iQuam, AMSR2/GCOM-W1, and MWRI/FY-3D

Remote Sensing
Evaluating sea surface temperature (SST) products is essential before their application in marine environmental monitoring and related studies. SSTs from the in situ SST Quality Monitor (iQuam) system, Advanced Microwave Scanning Radiometer 2 (AMSR2 ...
Yili Zhao, Ping Liu, Wu Zhou
doaj   +2 more sources

INTER-COMPARISONS AMONG PASSIVE MICROWAVE SEA ICE CONCENTRATION PRODUCTS FROM FY-3D MWRI AND AMSR2 [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
Passive microwave (PM) sensors on satellite can monitor sea ice distribution with their strengths of daylight- and weather-independent observations. Microwave Radiation Imager (MWRI) sensor aboard on the Chinese FengYun-3D (FY-3D) satellites was launched
Y. Chen, X. Zhao, M. Qu, Z. Cheng, X. Pang, Q. Ji   +5 more
doaj   +1 more source

Effects of Deep Learning Observation Operators in Direct Radiance Assimilation of Microwave Radiation Imager in Land Surface Models

Remote Sensing
Soil moisture is a key forecast variable of land surface models. Direct assimilation of microwave brightness temperature data to optimize soil moisture initial fields is an effective approach to improve the simulation accuracy of soil moisture.
Wanchen Li, Zhengkun Qin, Juan Li, Yu Huang, Miao Tian   +4 more
doaj   +2 more sources