Results

A series of five maps of Germany for the years 2018 to 2022, displaying simulated drought-induced wheat yield losses (color scale from white/pink = 0% to dark purple = 100%).
2018 shows the highest losses with intense pink/purple shading, particularly in north-eastern and central Germany.
2019 to 2021 show substantially lower losses (predominantly pale shading).
2022 displays moderate losses again across central and southern regions.
A few grey-shaded districts indicate areas where wheat was not included in the crop rotation.

LandscapeDNDC: Verlässliche Ertragssimulation als Basis für deutsche THG-Bilanzen

Accurate representation of crop growth is essential for precise greenhouse gas budgets within the Integrated Greenhouse Gas Monitoring System (ITMS). Only if biogeochemical models correctly capture the dynamics of crops under changing weather and climate conditions can they provide reliable a-priori fluxes for atmospheric data assimilation. [more]

Leveraging ICOS Data for Inverse Modelling of Greenhouse Gas Fluxes within ITMS

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]

Observing steelworks from space: A novel method for estimating greenhouse gas emissions

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]

Greta

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]

TeResE

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]

Ensemble-based estimation of German methane emissions using the ICON-ART model

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]