Results

The European atmospheric ICOS dataset of anthropogenic greenhouse gases (CO₂, CH₄ and N₂O) is a critical component of ITMS inverse models, forming the backbone for reliable emission estimates, reducing uncertainties, and supporting climate research and policy. The data are publicly available at different quality levels and time resolutions, with the shortest latency of 24 hours. [more]

Researchers at the University of Bremen’s Institute of Environmental Physics have developed a satellite-based method to quantify greenhouse gas emissions from individual steelworks. By analysing characteristic absorption signatures in spectral data acquired from space, the approach enables independent, facility-level emission estimates and provides a new tool for tracking industrial progress on climate change mitigation [more]

UBA’s Gridding Emissions Tool for ArcGIS (Greta) tool distributes annual aggregated emission data from the National Inventory Report (NIR) into a spatial raster data product. This provides an a-priori dataset with a 1 km x 1 km resolution, covering the years 1990 to the year of submission -2. [more]

Temporal Resolution of Emission data (TeResE) tool resolves spatial emission data into a temporal dimension. This creates a 4 dimensional spatial-temporal emission data set. [more]

In the ITMS project, a new system is being developed at the DWD to assess greenhouse gas emissions based on concentration measurements and weather modeling. Now we have published two new papers in the journal Atmospheric Chemistry and Physics, describing the ITMS-Demonstrator and estimating the Germany's methane emissions in 2021. Here, we explain the foundations of this system. [more]

Effective climate policies require accurate carbon flux estimates, to inform emission reduction strategies and to support international agreements like the Paris Agreement. Munassar and colleagues showed in a recent study that overlooking the daily cycle of the biosphere’s “breathing” can lead to over- or underestimations in the regional carbon budgets as derived from inversion modelling. [more]