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首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing >Evaluation and Improvement of the Near-Real-Time Linear Fit SOamp;subamp;2amp;/subamp; Retrievals From Suomi NPP Ozone Mapping and Profiler Suite
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Evaluation and Improvement of the Near-Real-Time Linear Fit SOamp;subamp;2amp;/subamp; Retrievals From Suomi NPP Ozone Mapping and Profiler Suite

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摘要

Changing a logic switch threshold in the linear fit sulfur dioxide (LFSO2) algorithm improves the performance based on the evaluation of the NOAA operational atmospheric SOamp;subamp;2amp;/subamp; near-real-time (NRT) retrieval. The LFSO2 is used to create estimates from measurements made by the Suomi NPP (S-NPP) Ozone Mapping and Profiler Suite (OMPS). We evaluate the LFSO2 and compare the results to those from a principal component analysis (PCA) offline algorithm. Twenty independent volcanic scenarios and one environmental disaster scenario spread over eight years are selected for this comparison. More than three months of Kilauea volcanic activity in 2018 are monitored and are included in this evaluation and comparison. We found that the operational LFSO2 retrievals at lower troposphere (TRL), mid-troposphere (TRM), and lower stratosphere (STL) exhibited a discontinuity and have a saturation-like relationship if compared with PCA results. Using the new retrieval logic, the discontinuity in LFSO2 retrievals and the saturation appearance in comparisons vanished and a close to a linear relationship with the matchup data from the PCA retrieval products is demonstrated. The minimum detectable values for all three SOamp;subamp;2amp;/subamp; layer products and the planetary boundary layer (PBL) products are estimated with the updated LFSO2 algorithm. Results for a volcanic cloud over Colombia for the updated LFSO2 for OMPS and a Differential Optical Absorption Spectroscopy (DOAS) algorithm for the Tropospheric Monitoring Instrument (TROPOMI) measurements are also examined. Similar SOamp;subamp;2amp;/subamp; total mass estimates over the region are obtained from the two products.

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