A Large Ensemble Global Dataset for Climate Impact Assessments

Xiang Gao, Andrei Sokolov, and C. Adam Schlosser https://globalchange.mit.edu/publication/17932 Department of Energy, Office of Science, Earth & Environmental Systems Modeling Program Acknowledged Support: Yes, Multisector Dynamics Abstract We present a self-consistent, large ensemble, high-resolution global dataset of long‐term future climate developed by integrating a spatial disaggregation (SD) pattern-scaling technique and…

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Scaling of Floods with Geomorphologic Characteristics and Precipitation Variability across the conterminous United States

Nasser Najibi, Naresh Devineni DOI: https://doi.org/10.1029/2022WR032815 Department of Energy, Office of Science, Earth & Environmental Systems Modeling Program Acknowledged Support: Regional and Global Model Analysis Abstract Accurate flood risk assessment requires a comprehensive understanding of flood sensitivity to regional drivers and climate factors. This paper presents the scaling of floods (duration,…

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Can Biomass Burning Aerosol Induced Surface Cooling Be Amplified Through Sea Surface Temperature-Cloud Feedback Over the Southeast Atlantic?

Zheng Lu, Xiaohong Liu DOI: https://doi.org/10.1029/2022GL101377 Department of Energy, Office of Science, Earth & Environmental Systems Modeling Program Acknowledged Support: Regional and Global Model Analysis Abstract Biomass burning (BB) aerosols exert a strong surface cooling effect over the southeast Atlantic (SEA) via aerosol-radiation and aerosol-cloud interactions. The reduction of the sea…

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Landscape metrics regularly outperform other traditionally-used ancillary datasets in dasymetric mapping of population

Heng Wan, Jim Yoon, Vivek Srikrishnan, Brent Daniel, David Judi DOI: https://doi.org/10.1016/j.compenvurbsys.2022.101899 Department of Energy, Office of Science, Earth & Environmental Systems Modeling Program Acknowledged Support: Yes, Multisector Dynamics Program Abstract Population downscaling and interpolation methods are required to produce data which correspond to spatial units used in urban planning, demography,…

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Neglecting Model Parametric Uncertainty Can Drastically Underestimate Flood Risks

Sanjib Sharma, Benjamin Seiyon Lee, Iman Hosseini-Shakib, Murali Haran, Klaus Keller DOI: https://doi.org/10.1029/2022EF003050 Department of Energy, Office of Science, Earth & Environmental Systems Modeling Program Acknowledged Support: MultiSector Dynamics Program Abstract Floods drive dynamic and deeply uncertain risks for people and infrastructures. Uncertainty characterization is a crucial step in improving the predictive understanding of multi-sector…

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Site-specific field management adaptation is key to feeding the world in the 21st century

Dong Kook Woo, William J. Riley, Robert F. Grant, Yuxin Wu DOI: https://doi.org/10.1016/j.agrformet.2022.109230 Department of Energy, Office of Science, Earth & Environmental Systems Modeling Program Acknowledged Support: Yes, Regional and Global Modeling Analysis Program Abstract Rapid climate change and growing population threaten global food security across the globe. Several studies have…

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