David Ho

• Atmosphären- und Erdsystemmodellierung
  
• Kohlenstoffzyklus
  
• Atmosphärische Dynamik
  
• Satellitengestützte Fernerkundung
  
• Numerische Wettervorhersage
  
• Datenassimilationstechniken

Projekte

RiGHGorous: Research for an integrated GreenHouse Gas monitoring system and for its use at DWD

The objective of this project is to conduct basic research required for the development of an operational national Integrated Greenhouse Gas Monitoring System (ITMS) for the objective verification of the main anthropogenic greenhouse gas (GHG). The results should be particularly useful for the development of such a system at the German Weather Service (DWD). This includes the development of a high-resolution data assimilation system required for future (direct or indirect) integration into the DWD's high-resolution assimilation system, including the use and assessment of the established GHG inventories of the German Federal Environmental Agency (UBA) and other organizations. A key aspect is the use of existing and new observational data, especially satellite data.  Ensemble simulations are planned, with the goal of evaluating the potential of remote sensing of greenhouse gases to quantify GHG exchange between the Earth's surface and the atmosphere. These research activities are highly significant also for the planned Copernicus CO2 Monitoring (CO2M) satellite mission.

WRG-GHG simulation:

- Europa

ICON-ART simulation:

- Deutschland

- Deutschland & Polen

- Europa

Präsentationen

Ho, D., Steiner, M., Koene, E., Gałkowski, M., Marshall, J., and Gerbig, C.: Towards regional CH4 inversions with ICON-ART assimilating satellite TROPOMI data over Europe, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-1768, https://doi.org/10.5194/egusphere-egu24-1768, 2024.

Ho, T.-H., Gałkowski, M., Marshall, J., Totsche, K. U., and Gerbig, C.: Reducing transport errors in WRF modeling of greenhouse gas distributions through a combination of grid-nudging and regular restarts, DACH2022, Leipzig, Deutschland, 21–25 Mar 2022, DACH2022-120, https://doi.org/10.5194/dach2022-120, 2022.

Ho, T.-H., Gałkowski, M., Marshall, J., Totsche, K. U., and Gerbig, C.: Reducing transport errors in WRF modeling of greenhouse gas distributions through a combination of grid-nudging and regular restarts, AGU2021, New Orleans, LA USA, 13–17 Dec 2021.

Publikationen