FY4A/AGRI云物理特性反演结果评估以MODIS官方云产品为基准>CLP识别混淆矩阵AGRI(Official)AHI(Official)AGRI (OurMethod)AGRI(Pre-trained Model)(c)OA=84.09%100(a)0A=71.81%(b)OA=78.97%(c)OA=76.74%2.1255.3842.532.0970.0228.811.1768.9929.651.3681.4616.42ClearClearClearClear80(%)e89.093.011.544.332.2193,754.047.5789.123.307.9094.13WaterWaterWaterWater40205.254.051.8227.1071:0816.8077.942.8519.3877.7612.7683:19IceIceIcelcelceClearWaterClearWaterIceClearWaterlceClearWaterlceMODIS (Official)MODIS (Official)MODIS (Official)MODIS (Official)>云检测整体准确率AGRIAHIAGRIAGRI云检测(Pre-trained(Official)(Official)(Our Method)Model)整体准确率79.54%84.57%82.09%88.12%(Zhijun Zhao,FengZhang*,et al.TGRS,2023,Zhijun Zhao,Feng Zhang*,et al.arXiv,2024)16
FY4A/AGRI云物理特性反演结果评估 16 云检测 AGRI (Official) AHI (Official) AGRI (Pre-trained Model) AGRI (Our Method) 整体准确率 79.54% 84.57% 82.09% 88.12% (d) OA = 84.09% AGRI (Official) AHI (Official) AGRI (Pre-trained Model) AGRI (Our Method) MOD MODIS (Official) MODIS (Official) MODIS (Official) IS (Official) 以MODIS官方云产品为基准 (Zhijun Zhao, Feng Zhang*, et al. TGRS, 2023; Zhijun Zhao, Feng Zhang*, et al. arXiv, 2024)
FY4A/AGRI云物理特性反演结果评估联合概率密度分布以MODIS官方云产品为基准AHI(Official)AGRI (OurMethod)AGRI (Official)AGRI (Pre-trained Model)0.060.0617.517.517.517.50.04(a) CTH.0(c) CTH(d) CTH(b) CTH15.015.015.015.00.050.05to12.512.512.50.0312.5R00.040.04a.0s10.010.010.010.00.030.030.02Ro7.57,57.57.50.030.020.025.05.05.05.00.01.022.52.5152.50.010.010.01RMSE:2.72kmRMSE:3.55kmRMSE:2.79kmRMSE:1.85km0.00.00.00.61o10.02.55.07.510.012.515.017.50.0 2.55.0 7.5 10.0 12.5 15.0 17.5n50.02.55.07.510.012.515.017.3606060500.004(g)CER(e)CER(f) CER(h) CERRo0.00300.003050505050ti00300.00250.00250.0034040400.00250.00200.0020No0.00203030300.0020.00150.00150.0015Product2020200.00100.00100.0010.00101010100.00050.00050.0005RMSE:10.14μmRMSE:11.30μmRMSE:6.72μm4060601o60102030501020304050203040502040C102(i) COTG)COT102(k) COT1021.4(U) COTO.f0.810°1.20.61.00.61021011011010.8No0,40.40.610010010010/Product0.40.20.202RMSE:14.62RMSE:12.79RMSE:16.1210~2/10~1,10~13to-110-110010110-110010110210210-110P10-1100101102100toMODIS (Official)MODIS (Official)MODIS (Official)MODIS (Official)(Zhijun Zhao,FengZhang*,et al.TGRS,2023;Zhijun Zhao,Feng Zhang*,et al.arXiv,2024)17
17 MYD06 RMSE: 3.55 km RMSE: 2.72 km RMSE: 1.85 km RMSE: 10.14 µm RMSE: 6.72 µm RMSE: 14.62 RMSE: 12.79 RMSE: 2.79 km RMSE: 11.30 µm RMSE: 16.12 AGRI (Official) AHI (Official) AGRI (Pre-trained Model) AGRI (Our Method) MODIS (Official) MODIS (Official) MODIS (Official) No Product No Product MODIS (Official) (e) CER (f) CER (g) CER (h) CER (i) COT (j) COT (k) COT (l) COT (a) CTH (b) CTH (c) CTH (d) CTH FY4A/AGRI云物理特性反演结果评估 以MODIS官方云产品为基准 (Zhijun Zhao, Feng Zhang*, et al. TGRS, 2023; Zhijun Zhao, Feng Zhang*, et al. arXiv, 2024)
FY4A/AGRI夜间云物理特性反演结果评估以CALIOP官方云产品为基准>CLP识别混淆矩阵CTH联合概率密度分布AGRI (Official)AGRI(OurMethod)AGRI (Official)AGRI (OurMethod)10017.517.515.086176.8643115.01.772.00Clear64.12Clear0.040.0412.512.56860810.00.0310.088.8211.6813.6334.1394.5029.59WaterWater日间7.5750.035.65.00.0122.5o43282.063.7468.402.151.76lodloeRMSE:4.00kmRMSE:2.33km0.00.00.02.55.07.510.012.515.01750.025507.510.012.515.017.5ClearWanerlce,ClearWaterlee017,517.574634.265.4874349.97Clean0.04Clear10.7815.015.012.512.50.030.0380710.010.024.:9086.3335.94238992.8526.01WaierWates夜间197.50.02505.00.01-2022.52.0.762.8954.09L482.898.51locleeRMSE:4.86kmRMSE:2.99km0.00.0WiterClearWster-0.02.55.07.510.012.515.017.50.02.55.07.510.012.515.017.5ClearfeleeCALIOP (Official)CALIOP (Official)CALIOP (Official)CALIOP (Official)--(ZhijunZhao,FengZhang*,etal.arXiv,2024)18
18 RMSE: 2.33 km RMSE: 2.99 km RMSE: 4.00 km RMSE: 4.86 km 日间 夜间 AGRI (Official) AGRI (Our Method) AGRI (Official) AGRI (Our Method) CALIOP (Official) CALIOP (Official) CALIOP (Official) CALIOP (Official) FY4A/AGRI夜间云物理特性反演结果评估 (Zhijun Zhao, Feng Zhang*, et al. arXiv, 2024) 以CALIOP官方云产品为基准