Greenhouse gas Modelling and Applications
Partner group with Indian Institute of Science Education and Research, Bhopal (IISER-B)
We explore the usability of atmospheric measurements of important greenhouse gases to derive the regional sources and sinks of GHGs.
Publications at MPI-BGC
Journal Article (5)
1.
Journal Article
129, 196 (2020)
On deriving influences of upwind agricultural and anthropogenic emissions on greenhouse gas concentrations and air quality over Delhi in India: A stochastic Lagrangian footprint approach. Journal of Earth System Science 2.
Journal Article
16 (15), pp. 9591 - 9610 (2016)
Tracking city CO2 emissions from space using a high-resolution inverse modeling approach: a case study for Berlin, Germany. Atmospheric Chemistry and Physics 3.
Journal Article
12, pp. 8979 - 8991 (2012)
Comparing Lagrangian and Eulerian models for CO2 transport - a step towards Bayesian inverse modeling using WRF/STILT-VPRM. Atmospheric Chemistry and Physics 4.
Journal Article
11 (15), pp. 7445 - 7464 (2011)
High-resolution simulations of atmospheric CO2 over complex terrain – representing the Ochsenkopf mountain tall tower. Atmospheric Chemistry and Physics 5.
Journal Article
10 (1), pp. 83 - 94 (2010)
High resolution modeling of CO2 over Europe: implications for representation errors of satellite retrievals. Atmospheric Chemistry and Physics