Developing the science product algorithm testbed for Chinese next-generation geostationary meteorological satellites: Fengyun-4 series

Min, Min; Wu, Chunqiang; Li, Chuan; Liu, Hui; Xu, Na; Wu, Xiao; Chen, Lin; Wang, Fu; Sun, Fenglin; Qin, Danyu; Wang, Xi; Ли, Бо; Zheng, Zhaojun; Cao, Guangchao; Dong, Lixin

doi:10.1007/s13351-017-6161-z

Cited by 138 publications

(80 citation statements)

References 29 publications

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“…With the recent development of new‐generation geostationary satellites (Min et al, ), the high spatiotemporal observations of clouds provide us golden opportunities to contiguously capture the evolution of MCSs in diverse sizes. The identification and tracking of MCSs from space, therefore, have been the subject of considerable investigation (e.g., Fiolleau & Roca, ; Goyens et al, ; Morel & Senesi, ).…”

Section: Introductionmentioning

confidence: 99%

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Mesoscale Convective Systems in the Asian Monsoon Region From Advanced Himawari Imager: Algorithms and Preliminary Results

et al. 2019

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The knowledge of mesoscale convective system (MCS) in the Asian monsoon region remains still deficient due to the limited available data and less powerful algorithms. Here, using the data from Advanced Himawari Imager onboard Himawari‐8 (HW8), an improved algorithm combining the area overlapping with the Kalman filter is developed, which captures much smaller MCSs that are unavailable otherwise. Several influential factors like the overlapping rate and splitting/merging in the area overlapping method, and the initial state variable in the Kalman filter method, all of which were less appreciated, are handled explicitly. The occurrence frequency, and moving trajectory of two types of MCS, including the ordinary MCS and superconvective system, has been comprehensively examined in the Asian monsoon region for the warm season (April to September) of 2016. Comparison analyses with ground precipitation and radar measurements confirm the good performance of our algorithm. In particular, the moving direction of MCS strongly depends on latitudes, so does the horizontal velocity. Compared with over ocean, the frequency of MCSs dominates over land or along coasts in the tropics, where strong moisture flux convergence is frequently observed in the low troposphere. In addition, the MCSs detected in eastern China can roughly capture the meridional propagation over time, which corresponds well to the precipitation belts linked to Meiyu front systems. The superconvective systems dominate over the Bay of Bengal and South China Sea due to the large‐scale circulation. Our findings provide new insights to spatiotemporal patterns of MCSs during warm season in the Asian monsoon region.

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Section: Introductionmentioning

confidence: 99%

“…With the recent development of new-generation geostationary satellites (Min et al, 2017), the high spatiotemporal observations of clouds provide us golden opportunities to contiguously capture the ©2019. The Authors.…”

Section: Introductionmentioning

confidence: 99%

Mesoscale Convective Systems in the Asian Monsoon Region From Advanced Himawari Imager: Algorithms and Preliminary Results

et al. 2019

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“…FY-4 AGRI provides a full-disk scan every 15 min (FY-2 every 30 min) and the scan period is shorter over China (Chinese regional scan), which helps to identify and track convective clouds. FY-4 products have been used to retrieve the cloud mask, volcanic ash height, and other scientific products (Min et al, 2017;Zhu et al, 2017).…”

Section: Datamentioning

confidence: 99%

“…It was first proposed by Twomey and Seton (1980) to calculate τ and R e . Subsequently, Nakajima and King (1990) extended the scope of the retrieval algorithm and constructed a lookup table, which is currently the official algorithm for MODIS cloud properties. The basic principles of the retrieval algorithm are that the absorption of the cloud droplets is negligible in the visible band and the reflectance mainly depends on the value of τ .…”

Section: R E Retrievalmentioning

confidence: 99%

Retrieval of the vertical evolution of the cloud effective radius from the Chinese FY-4 (Feng Yun 4) next-generation geostationary satellites

Chen

Cui

et al. 2020

Atmos. Chem. Phys.

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The vertical evolution of the cloud effective radius (R e ) reflects the precipitation-forming process. Based on observations from the first Chinese next-generation geostationary meteorological satellites (FY-4A, Feng Yun 4), we established a new method for objectively obtaining the vertical temperature vs. R e profile. First of all, R e was calculated using a bispectral lookup table. Then, cloud clusters were objectively identified using the maximum temperature gradient method. Finally, the R e profile in a certain cloud was then obtained by combining these two sets of data. Compared with the conventional method used to obtain the R e profile from the subjective division of a region, objective cloudcluster identification establishes a unified standard, increases the credibility of the R e profile, and facilitates the comparison of different R e profiles. To investigate its performance, we selected a heavy precipitation event from the Integrative Monsoon Frontal Rainfall Experiment in summer 2018. The results showed that the method successfully identified and tracked the cloud cluster. The R e profile showed completely different morphologies in different life stages of the cloud cluster, which is important in the characterization of the formation of precipitation and the temporal evolution of microphysical processes.

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“…FY-4 is equipped with an Advanced Geosynchronous Radiation Imager (AGRI) with 14 spectral bands (FY-2 has five bands), with a resolution of 1 km in the visible bands, 2 km in the near-infrared bands and 4 km in the infrared bands. FY-4 products have been used to retrieve the cloud mask, volcanic 90 ash height and other scientific products (Min, 2017;Zhu et al, 2017).…”

Section: Datamentioning

confidence: 99%

Retrieval of the vertical profile of the cloud effective radius from the Chinese FY-4 next-generation geostationary satellite

Chen

Cui

et al. 2019

Preprint

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The vertical profile of the cloud effective radius (Re) reflects the precipitation-forming process. Based on observations from the first of the Chinese next-generation geostationary meteorological satellites (FY-4A), we established a new method for objectively obtaining the vertical temperature vs Re profile. Re was calculated using a bi-spectrum lookup table and cloud clusters were objectively identified using the maximum temperature gradient method. The Re profile in a certain cloud was then obtained by combining these two sets of data. Compared with the conventional method used to obtain the Re 15 profile from the subjective division of a region, objective cloud cluster identification establishes a unified standard, increases the credibility of the Re profile and facilitates the comparison of different Re profiles. To investigate its performance, we selected a heavy precipitation event from the Integrative Monsoon Frontal Rainfall Experiment in summer 2018. The results showed that the method successfully identified and tracked the cloud cluster. The Re profile showed completely different morphologies in different life stages of the cloud cluster, which is important in the characterization of the formation of 20 precipitation and the temporal evolution of microphysical processes.

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Developing the science product algorithm testbed for Chinese next-generation geostationary meteorological satellites: Fengyun-4 series

Cited by 138 publications

References 29 publications

Mesoscale Convective Systems in the Asian Monsoon Region From Advanced Himawari Imager: Algorithms and Preliminary Results

Mesoscale Convective Systems in the Asian Monsoon Region From Advanced Himawari Imager: Algorithms and Preliminary Results

Retrieval of the vertical evolution of the cloud effective radius from the Chinese FY-4 (Feng Yun 4) next-generation geostationary satellites

Retrieval of the vertical profile of the cloud effective radius from the Chinese FY-4 next-generation geostationary satellite

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