2022
DOI: 10.5194/amt-2022-2
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Retrieval of ice water path from the FY-3B MWHS polarimetric measurements based on deep neural network

Abstract: Abstract. Ice water path (IWP) is an important cloud parameter in atmospheric radiation, and there are still great difficulties in retrieval. The artificial neural network is a popular method in atmospheric remote sensing in recent years. This study presents a global IWP retrieval based on deep neural networks using the measurements from Microwave Humidity Sounder (MWHS) onboard the FengYun-3B (FY-3B) satellite. Since FY-3B/MWHS has quasi-polarization channels at 150 GHz, the effect of polarimetric radiance di… Show more

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“…We also note that clouds on Earth are only present over about 60% of the surface. Satellite observations do show individual cloud water paths as high as 1000 g m −2 in cases like hurricanes and strong convective clouds (Meng et al 2021;Wang et al 2022). Because of the lack of supercooled water and Bergeron processes, this is reflected by the high liquid water path in our model.…”
Section: Baseline Experimentsmentioning
confidence: 63%
“…We also note that clouds on Earth are only present over about 60% of the surface. Satellite observations do show individual cloud water paths as high as 1000 g m −2 in cases like hurricanes and strong convective clouds (Meng et al 2021;Wang et al 2022). Because of the lack of supercooled water and Bergeron processes, this is reflected by the high liquid water path in our model.…”
Section: Baseline Experimentsmentioning
confidence: 63%