Table · dataset · 2025
Water-vapor based bias correction for CO2 airborne vertical profiles
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Description
This dataset is associated with the following publication: doi.org/10.5194/egusphere-2024-1735. It contains the water vapor mole fractions and bias correction magnitude (2010-2018) to the CO2 mole fractions measured at each airborne vertical profile site in the Amazon. The vertical profile data is freely available at: doi.pangaea.de/10.1594/PANGAEA.926834.
The flags used to select the best quality data were: ALF: '...' and '..>' , TAB: '...' , TEF: '...' , SAN: '...' and '..>' , 'RBA: '...' . The water vapor was extracted from ECMWF-IFS using the STILT model (Lin et al., 2003). The water vapor mole fraction (wv_extr) is reported in % and the CO2 bias correction (bcorr) is in ppm.
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The bias correction has a systematic and a random component. The column bcorr_std provides the standard deviation of the bias for a given water vapor mole fraction bin of 1% (from 0 to 3%). Note that the standard deviation corresponds to the random component of the error, which is associated with the spread for each 1% bin.
For the site RBA, there are 6 flights in which the water vapor correction was not applied because there was a drier installed. Those flights are not included in this dataset and the dates are (DDMMYYYY): 1. 16022018 / 2. 09032018 / 3. 06042018 / 4. 08052018 / 5. 15072018 / 6. 19092018
Links
Where it is published
- Dataverse dataset page edmond.mpg.de/dataset.xhtml?persistentId=doi%3A10.17617%2F3.M60T6G ↗
landing page · from edmond mpdl mpg de
- DOI doi.org/10.17617/3.m60t6g ↗
DOI / persistent id · from edmond mpdl mpg de
Catalogue records · 1
- Dataverse API edmond.mpg.de/api/datasets/:persistentId/?persistentId=doi%3A10.17617%2F3.M6… ↗
metadata API · from edmond mpdl mpg de
Topics
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- Inferred from text
- Climate change science 71%
Provenance · 2 source records, 24 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Edmond | doi:10.17617/3.M60T6G | 11 d ago | JSON v1 |
| Edmond | doi:10.17617/3.M60T6G | 10 d ago | JSON v1 |
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