HSTCM-NO2

A Global Daily High Spatial-temporal Coverage Merged Tropospheric NO2 dataset (HSTCM-NO2) from 2007 to 2022 based on OMI and GOME-2 This dataset is the end product of a reconstruction of global NO2. The product was made using OMI (OMNO2), GOME-2 and other data. The method includes machine learning (XGBoost) and gap filling (DINEOF). The new reconstructed product (HSTCM-NO2) is compared with MAX-DOAS and TROPOMI to establish both concentration validatity, and spatial-temporal coherence.