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Kevin Bowman
NASA Jet Propulsion LaboratoryMeeting roles in:
Attributing 2019–2024 methane growth using TROPOMI satellite observations
A High-Temporal-Resolution Methane Budget for California from Multiscale Assimilation of Satellite, In Situ, and Plume Observations
Quantifying methane emission trends in the United States (2019-2024) through high resolution inversion of satellite observations
Toward Satellite-Derived Methane Growth Rates Using CrIS and AIRS: A Multidataset Comparison within the TROPESS Project
Benchmarking USA Methane Inventories using GOSAT based Methane Fluxes
High-Resolution Gridded Greenhouse-Gas Emissions from the Climate TRACE Inventory and Related Applications
Intercomparison and analysis of terrestrial biospheric products at the United States Greenhouse Gas Center
Advance in understanding of the changes in the carbon cycle and its linkage to the water cycle during the 2023-2024 El Niño in Amazon region
Differentiable Land Model Reveals Global Environmental Controls on Latent Ecological Functions
Evaluating and improving modeled smoke vertical distribution and surface concentrations for the 2020 western US wildfires
Predicting and Correcting the Influence of Boundary Conditions in Regional Inverse Analyses
Relating Multi-Scale Plume Detection and Area Estimates of Methane Emissions
ClimateBench2.0: Probabilistic Climate Model Scoring
Water Isotope Model Intercomparison Project (WisoMIP): Present-day Climate
Sharp Increases in Fire Emissions Caused the Record-high Atmospheric CO2 Growth Rate in 2024
WISO-SAT: A global database of stable hydrogen isotopes in water vapor from eight satellite missions
Megacities as Indicators of National NOx and CO2 Emission Trends
Coupling Biogeochemical Transformations Across the Land-Ocean-Aquatic-Continuum (LOAC) using the ECCO-Darwin global ocean-biogeochemistry model and CARDAMOM terrestrial carbon model
Quantifying Regional and Long-term Air Quality Changes with TRACER-1 (Tropospheric Chemistry and Emissions Reanalysis) – Preliminary Results
NUWRF4HTAP: A Multiscale Earth System Modeling System Supporting HTAP3-Fires and Other Policy-relevant Activities
How Interpretable Machine Learning Advances Our Understanding of Climate Extremes and Their Impacts on Ecosystems and Infrastructure
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