Mapping, attributing, and upscaling greenhouse gas exchange between complex land surfaces and the atmosphere

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Understanding and predicting the fluxes of greenhouse gases (GHG) between the Earth’s surface and the atmosphere is key to quantify climate-relevant processes and feedbacks in global biogeochemical cycles, and assess future climate change. Much of our current understanding on the role of land surface processes and feedbacks on GHG exchange is based on global inverse models or direct measurements of fluxes using the eddy covariance (EC) method. However, the EC method is generally limited to areas that are homogeneous.