Results 1 to 10 of about 100 (83)
A global daily soil moisture dataset derived from Chinese FengYun Microwave Radiation Imager (MWRI)(2010-2019). [PDF]
Sci Data, 2023 Surface soil moisture (SSM) is an important variable in drought monitoring, floods predicting, weather forecasting, etc. and plays a critical role in water and heat exchanges between land and atmosphere. SSM products from L-band observations, such as the
Yao P +9 more
europepmc +4 more sources
Spatial Resolution Enhancement of Microwave Radiation Imager (MWRI) Data
Remote SensingA spaceborne microwave radiometer has a low spatial resolution limited by its antenna size. Enhancing the spatial resolution of data acquired by such sensors can improve the quality of subsequent applications.
Yihong Bai +5 more
doaj +4 more sources
Surface Properties of Global Land Surface Microwave Emissivity Derived from FY-3D/MWRI Measurements. [PDF]
Sensors (Basel), 2023 Land surface microwave emissivity is crucial to the accurate retrieval of surface and atmospheric parameters and the assimilation of microwave data into numerical models over land. The microwave radiation imager (MWRI) sensors aboard on Chinese FengYun-3
Xu R, Pan Z, Han Y, Zheng W, Wu S.
europepmc +2 more sources
A Multivariable Approach for Estimating Soil Moisture from Microwave Radiation Imager (MWRI)
Journal of Meteorological Research, 2020 Accurate measurements of soil moisture are beneficial to our understanding of hydrological processes in the earth system. A multivariable approach using the random forest (RF) machine learning technique is proposed to estimate the soil moisture from Microwave Radiation Imager (MWRI) onboard Fengyun-3C satellite. In this study, Soil Moisture Operational
Fuzhong Weng
exaly +3 more sources
Impact Study of FY-3B MWRI Data Assimilation in WRFDA
Atmosphere, 2021 In the first attempt to configure the Fengyun-3B satellite’s Microwave Radiation Imager (MWRI) radiance data in the Weather Research Forecast (WRF) model’s Data Assimilation system (WRFDA), the impact of MWRI data assimilation on the analysis and ...
Chun Yang, Lijian Zhu, Jinzhong Min
doaj +3 more sources
IEEE Transactions on Geoscience and Remote Sensing, 2012 The MicroWave Radiation Imager (MWRI) onboard the FengYun (FY)-3B satellite has five frequencies at 10.65, 18.7, 23.8, 36.5, and 89.0 GHz, each having dual channels at vertical and horizontal polarization states, respectively. It is found that radio-frequency interference (RFI) is present in MWRI data over land.
Xiaolei Zou +2 more
exaly +2 more sources
Intercalibration of FY-3C MWRI Against GMI Using the Ocean Microwave Radiative Transfer Model
IEEE Access, 2020 This work addresses the intercalibration of the Microwave Radiation Imager (MWRI) on the Chinese second-generation polar-orbiting meteorological satellite Fengyun 3C (FY-3C) against the Microwave Imager (GMI) on the Global Precipitation Measurement (GPM)
Zi-Qian Zeng, Geng-Ming Jiang
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 This study presents a correction algorithm to remove the backlobe intrusion from the hot-load reflector of microwave radiation imager (MWRI) on-board China FengYun-3C (FY-3C) meteorological satellite.
Xinxin Xie +4 more
doaj +3 more sources
Remote Sensing, 2019 The Qinghai-Tibetan plateau plays an important role in climate change with its unique characteristics, and the surface emissivity is an important parameter to describe the surface characteristics.
Ying Wu +5 more
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A new sea ice concentration product in the polar regions derived from the FengYun-3 MWRI sensors [PDF]
Earth System Science Data, 2023 Sea ice concentration (SIC) is the main geophysical variable for quantifying change in sea ice in the polar regions. A continuous SIC product is key to informing climate and ecosystem studies in the polar regions.
Y. Chen +12 more
doaj +1 more source