So far the complex interactions between land surface and climate are largely unclear. Our understanding of the segment of land feedbacks on ABL is very limited, in particular, from a view of climate.
The question is rather too « short » and I think that:
1) you must say if you are using models or experimental research to quantify « land feedback » on boundary layer processes
2) It will be also necessary to specify what scales (spatial and temporal) do you intend to investigate
3) Speaking of “feedback”, which land properties do you want to take into account?
A first more precise analysis of what do you want to analyze (scales, processes….) could help to give a more convenient response.
Best regards
Dr. Alain Weill
There should be considerable scope for linking available remote sensing data tracking changes in vegetative cover with methods and models for calibrating GHG writ large: looking at the systemic fluxes across carbon, methane, water vapor, even nitrogen. For carbon sequestration there is a body of work ranging from evapotranspiration models incorporating light leaf index for major crops such as rice wheat, potatoes to light leaf index studies to measure carbon uptake by mangrove, etc. To look at land use / climate interactions would require also expanding upon or developing methane modeling for livestock/game influences in terms of land use. There is also potential to examine the cumulative or aggregate potential for micro-management of 'small water cycle' micro-environments to leverage a 'mosaic' effect on climate as ocean/atmosphere fluxes in global hydrological cycle as both rheostat and carbon sink. This is potentially the type of dynamic integrated forecasting modeling that servir.org could also be encouraged to establish in the context of 'climate services'.
I recommend looking into the work of Reed Maxwell, Stefan Kollet, Jehan Rihani and to some degree my work featured here at Researchgate. Best regards. Morten
Alan Betts have done many excellent studies in this field though the causality of many relationships identified by their research is unknown.
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