Published January 31, 2025
| Version 1
OEMC project use case: Meteo support for modeling of carbon sequestration tool
- Creators
- GILAB DOO Beograd
Description
High-resolution (1 km) daily climate element maps, including maximum, minimum, and mean temperature, sea level pressure, and total precipitation, are essential for the creation and monitoring of regenerative agriculture projects. This dataset is particularly valuable for estimating future soil carbon sequestration using models such as RothC, CENTURY, and others.
Stakeholder needs:
- Provide time series of daily values of meteorological variables, namely mean temperature and precipitation, in a certain locations, i.e. for defined agricultural parcels involved in a carbon credit project
- Spatial precision of meteorological variables should be improved in order to improve the calculation of baseline emissions - more reliable calculation of Carbon offsets improve the climate action
- To cover the 1990-present period
- To cover Europe or to have global spatial coverage if possible
Planned implementation:
- Create a daily gridded meteorological dataset for the entire World with a spatial resolution of 1 km, covering the period from 1961 to 2020. The dataset includes five daily variables: maximum, minimum, and mean temperature, mean sea level pressure, and total precipitation. Spatio-temporal regression Kriging is used for interpolation.
- Develop https://dailymeteo.com/ web portal to provide access to the data
- Develop MeteoAI chatbot to interact with the meteorological data
Visit the use-case page on the OEMC website to learn more: https://earthmonitor.org/use-cases/meteo-support-for-modeling-of-carbon-sequestration-tool/