Published July 25, 2023
| Version 1
Workflow
Open
LESO-uncertainty
Authors/Creators
- 1. University of Exeter
- 2. National Space Science Center, Chinese Academy of Sciences
Description
Processing chain and data to generate hourly, daily, monthly, or yearly uncertainty at geolocations within China, Europe, and the US described in publications 'Learning Surface Ozone From Satellite Columns (LESO): A Regional Daily Estimation Framework for Surface Ozone Monitoring in China' and 'Satellite-derived estimates of surface ozone by LESO: Extended application and performance evaluation'.
Notes
Files
uncertainty.csv
Files
(701.7 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:08b4edab07262e440b2a946eb33a9b53
|
1.2 kB | Download |
|
md5:b2d4229684340c64067084da17cc0e45
|
468.8 kB | Preview Download |
|
md5:0728168898c933906df5a96069a9a08a
|
231.7 kB | Download |