研究目的
To validate and intercompare six different HCHO retrievals from four satellites instruments (OMI, GOME2A, GOME2B, OMPS) and three different groups with aircraft observations from the NASA SEAC4RS campaign over the Southeast US in summer 2013.
研究成果
Current satellite HCHO data provide a reliable proxy for isoprene emission variability but with a low mean bias due both to the corrected slant columns and the scattering weights used in the retrievals. The study concludes that improvement in satellite HCHO retrievals is needed to correct the mean low bias, focusing on slant column fitting, corrected slant columns, and the calculation of scattering weights.
研究不足
All satellite retrievals are biased low in the mean by 20–51%, which would lead to corresponding bias in estimates of isoprene emissions from the satellite data. The study also notes that the GOME2A-BIRA retrieval is noisier than others, likely due to instrument degradation and reduced sampling.
1：Experimental Design and Method Selection:
The study uses highly accurate HCHO aircraft observations from the NASA SEAC4RS campaign to validate and intercompare six operational and research retrievals of HCHO columns from four different satellite instruments and three different research groups. The GEOS-Chem chemical transport model provides a common intercomparison platform.
2：Sample Selection and Data Sources:
The study focuses on the Southeast US in August–September 2013, using data from the NASA SEAC4RS campaign, including HCHO columns from four satellite instruments (OMI, GOME2A, GOME2B, OMPS) and in situ HCHO measurements from two instruments aboard the aircraft.
3：List of Experimental Equipment and Materials:
The study utilizes data from satellite instruments (OMI, GOME2A, GOME2B, OMPS) and in situ HCHO measurements from the Compact Atmospheric Multispecies Spectrometer (CAMS) and the NASA GSFC In Situ Airborne Formaldehyde (ISAF).
4：Experimental Procedures and Operational Workflow:
The study involves comparing satellite retrievals with aircraft observations and GEOS-Chem model simulations, focusing on spatial and temporal variability of HCHO columns.
5：Data Analysis Methods:
The study uses correlation coefficients to compare spatial and temporal variability between different HCHO retrievals and employs the GEOS-Chem model to simulate HCHO columns for comparison with satellite and aircraft data.
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