HSTCM-NO2
Authors/Creators
Description
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.
Files
Files
(43.1 GB)
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2.7 GB | Download |
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2.7 GB | Download |
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2.7 GB | Download |
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md5:f79a8844815c8252f6b1ca16475e400e
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2.7 GB | Download |
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2.7 GB | Download |
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md5:ec16e53b01ce619a258ac28a1a0abd96
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2.7 GB | Download |
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md5:e9f97663baa0cfe9251d30374e9531dd
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2.7 GB | Download |
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md5:594531b0d19d70b1e8396673ea699c03
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2.7 GB | Download |
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md5:3b8557194fea2ca3e4222861774473ef
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2.7 GB | Download |
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2.7 GB | Download |
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2.7 GB | Download |
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2.7 GB | Download |
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2.7 GB | Download |
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2.7 GB | Download |
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md5:ada90474108ab2255edfa46090e7a75f
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2.7 GB | Download |