Inverse modeling of CO₂ sources and sinks using satellite observations of CO₂ from TES and surface flask measurements

In addition to continuous measurement of the laser power throughout the field exper- iments, the instrument’s Raman scattering sensitivity was measured nightly by over- flowing

The similar rate of increase of CO 2 emissions in function of increasing soil water content observed in the burned and unburned plots (field data), despite the very di ff

To test the impact of changing the vertical resolution of the transport model on the optimized fluxes, we assimilated the same data sets (surface layer and GOSAT) in inversions

Weekly aggregated values of environmental parameters (upper panel: precipitation (black bars), temperature (red line: soil temperature, red dashed line: air temperature), soil

We have used the GEOS-Chem CO 2 simulation with CO 2 emissions from global monthly-varying fossil fuel use, shipping, aviation and the chemical production of CO 2 from the oxidation

Model estimated CO 2 time series at two surface stations in the southern extra-tropics, compared to CO 2 measurements taken at those stations.. The “GOSAT” line is from an

To investigate whether changing the gas transfer rate can improve regional model prediction, we compared the results from the model runs with the climatology of Taka- hashi et al.

The interest has been driven by the success of advanced data assimilation methods in numerical weather prediction (Rabier, 2005), as well as by development of operational