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Project: Reducing Uncertainty in Biogeochemical Interactions through Synthesis and Computation (RUBISCO) Scientific Focus Area (SFA)
Title Date
The Physical Sciences Update in the Fifth National Climate Assessment RGMA -
SYMFONI: the “system-of-systems” solution to quantify soil carbon and GHG outcomes for the broad U.S. croplands - solidifying the foundation for the U.S. climate-smart agriculture commodity market RGMA -
Quantifying field-level carbon intensity based on cradle to farm-gate life cycle assessment: uncertainty assessment under different management practices for the U.S. Midwestern farmland RGMA -
Different nitrogen fertilizer management practices on crop productivity and environmental outcomes across the U.S. Midwest RGMA -
Across the universe of water use efficiency and drought sensitivity: an eddy covariance analysis RGMA -
Unraveling the impacts of tile drainage on hydrology, biogeochemistry, and crop productivity in the U.S. Midwest: A Pathway to Climate Resilience RGMA -
An ecosystem of models to model an ecosystem RGMA -
State-of-the-Arctic: Confronting State-of-the-Art Carbon Cycle Models with Pan-Arctic Warming Responses RGMA -
Reducing uncertainty of wetland-greenhouse gas emissions in earth system models by including eco-hydrological patch types sub-grid representation coupled with Landsat Sentinel-2 derived patch distributions RGMA -
Land Carbon Uptake Under Global Environmental Change RGMA -
A differentiable, physics-informed ecosystem modeling: investigating the photosynthetic capacity parameterization RGMA -
Representing Microbial Dynamics and Organo-Mineral Interactions in the E3SM Land Model (ELM-ReSOM): Application to a Whole-Soil Warming Site RGMA -
Exploring the lags between anthropogenic carbon emissions and biospheric carbon fluxes under transitions to net zero and net negative emissions RGMA -
CEDAR-GPP: spatiotemporally upscaled estimates of global photosynthesis incorporating CO2 fertilization RGMA -
Partitioning of Ecosystem Autotrophic and Heterotrophic Respiration using Multi-source Data and Knowledge-guided Machine Learning RGMA -
Heatwaves drive carbon losses across ecosystems RGMA -
Assessing environmental and agronomic benefits of cover crops for the U.S. Corn Belt RGMA -
Unraveling Surface Energy Budget Biases in Earth System Models: Mechanisms and Implications RGMA -
Impacts of Droughts and Heatwaves across the Western United States RGMA -
Global fire modelling and control attributions based on the ensemble machine learning and satellite observations RGMA -
Methodological Developments in the International Land Model Benchmarking Effort RGMA -
Assessing changes in the global carbon cycle extremes under stratospheric aerosol intervention RGMA -
Leaf Epicuticular Waxes and the Functional Ecology of Prairie Grasses RGMA -
Wax on, Wax off: The Contribution of Epicuticular Plant Waxes to Leaf Reflectance Spectra of Tallgrass Prairie Grasses RGMA -
The influence of benchmark data choices on inferred model performance in the Arctic-Boreal region RGMA -
Is Parameter Inference a Disappearing Practice? Comparing Photosynthesis Simulations Using Perturbed Parameter Ensembles and Machine Learning RGMA -
Convergence Reveals Divergence in Dynamics of Surface- and Subsurface Microbes in an Early Terraformation System RGMA -
Evaluating the Effects of Heatwave Events on Hydrological Processes in the Contiguous United States (2003-2022) RGMA -
Assessing the impacts of crop rotations on crop productivity and environmental sustainability in the U.S. Midwest RGMA -
Quantifying Soil Moisture Influence on Global Ecosystem Functioning and the Implications for Land Surface Model RGMA -

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