2021
DOI: 10.3390/rs13163120
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Applications of the Advanced Radiative Transfer Modeling System (ARMS) to Characterize the Performance of Fengyun–4A/AGRI

Abstract: This study applies the Advanced Radiative Transfer Modeling System (ARMS), which was developed to accelerate the uses of Fengyun satellite data in weather, climate, and environmental applications in China, to characterize the biases of seven infrared (IR) bands of the Advanced Geosynchronous Radiation Imager (AGRI) onboard the Chinese geostationary meteorological satellite, Fengyun–4A. The AGRI data are quality controlled to eliminate the observations affected by clouds and contaminated by stray lights during … Show more

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Cited by 13 publications
(2 citation statements)
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“…Hence, we believe that BTs observed in these channels contain more significant noise compared to other ATMS channels. On the other hand, temperature from ERA5 data is also inconsistent with that from NCEP FNL data above 200 hPa (Tang et al., 2021). This discrepancy highlights the challenges faced by current reanalysis data in accurately capturing temperature fields at higher altitudes.…”
Section: Validations Of the New Schemementioning
confidence: 99%
“…Hence, we believe that BTs observed in these channels contain more significant noise compared to other ATMS channels. On the other hand, temperature from ERA5 data is also inconsistent with that from NCEP FNL data above 200 hPa (Tang et al., 2021). This discrepancy highlights the challenges faced by current reanalysis data in accurately capturing temperature fields at higher altitudes.…”
Section: Validations Of the New Schemementioning
confidence: 99%
“…Figure 3c shows the WFs for channels 8–14 from the Advanced Geosynchronous Radiation Imager (AGRI) onboard the Chinese Fengyun‐4A (FY‐4A) geostationary satellite. FY‐4A AGRI has three visible channels 1–3 and seven infrared (IR) channels 8–14 (Tang et al., 2021). In this study, the AGRI channel 12 (∼10.7 μm) is used.…”
Section: Data Characteristics Of Fy‐3e Mwts‐3 and Fy‐4a Agrimentioning
confidence: 99%