17:15 〜 18:45
[MGI30-P02] エアロゾルによるひまわり8/9号AHI陸域大気補正済反射率への影響評価
キーワード：ひまわり8/9号AHIセンサ、大気補正、SKYNET、エアロゾルプロダクト
The Advanced Himawari Imager (AHI) onboard the Japanese geostationary meteorological satellites, Himawari 8/9 (H8/9) has a 0.5 km or 2 km spatial resolution, but it can observe the earth's hemisphere with a high temporal resolution of 10 minutes. So, it can be expected to avoid the effects of cloud contamination. On the other hand, the atmospheric correction algorithms that derive ground surface reflectance are important for high-order products related to terrestrial vegetation. In addition, JAXA EORC has started distributing aerosol products, and we can expect higher accuracy of atmospheric correction algorithms.
This research shows the evaluation of the H8/9 AHI aerosol products using both of ground-based and satellite-based data and impact assessment of aerosol parameters on H8/9 AHI atmospherically corrected surface reflectance for land research.
Firstly, we found that H8/9 L3ARP Daily AOT and AE products have a stronger correlation than L2ARP and L3ARP Hourly under clear-sky conditions, and AOT products are in good agreement with the Terra/Aqua MODIS aerosol products. On the other hand, AE products are not well correlated with MODIS AE because there are not MODIS AE values less than 1.5. We plan to increase comparison datasets and need to check clouds for every data using sky fisheye images. We also found that both of AOT and aerosol types should be considered, although the effect of water vapor and ozone absorption on atmospheric correction for H8/9 AHI bands is very small. We will evaluate the performance of algorithm using aerosol size distribution and refractive index (real and imaginary parts) measured by ground-based sunphotometer, POM02 in the near future.
This research shows the evaluation of the H8/9 AHI aerosol products using both of ground-based and satellite-based data and impact assessment of aerosol parameters on H8/9 AHI atmospherically corrected surface reflectance for land research.
Firstly, we found that H8/9 L3ARP Daily AOT and AE products have a stronger correlation than L2ARP and L3ARP Hourly under clear-sky conditions, and AOT products are in good agreement with the Terra/Aqua MODIS aerosol products. On the other hand, AE products are not well correlated with MODIS AE because there are not MODIS AE values less than 1.5. We plan to increase comparison datasets and need to check clouds for every data using sky fisheye images. We also found that both of AOT and aerosol types should be considered, although the effect of water vapor and ozone absorption on atmospheric correction for H8/9 AHI bands is very small. We will evaluate the performance of algorithm using aerosol size distribution and refractive index (real and imaginary parts) measured by ground-based sunphotometer, POM02 in the near future.