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Characterizing drought risks and implications for water management under...
Drought risks arise from the intersection of climate hazards and social vulnerability. To characterize drought risks, we develop and demonstrate a new Combined Drought Risk...- publication PDF
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A User's Guide to the VEMAP Phase 1 Database
The Vegetation/Ecosystem Modeling and Analysis Project (VEMAP) is an ongoing multi-institutional, international effort addressing the response of biogeography and...- publication PDF
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Downscaling Global Spatial Population Projections from 1/8-degree to 1-km Grid Cells
Global spatial population projections consistent with the Shared Socioeconomic Pathways (SSPs) are important for understanding interactions between societal and climatic...- publication PDF
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The Improved Urbanization Projections of the NCAR Community Demographic Model (CDM)
The urbanization projections, as one important components of the NCAR Community Demographic Model, has been developed to meet the requirement of climate change research...- publication PDF
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The East African Great Lake Environments (EAGLE) Climate Downscaling Dataset
The East African Great Lake Environments (EAGLE) climate downscaling dataset was created to provide a high-resolution depiction of present and future climate scenarios in the...- publication PDF
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Proceedings of the 8th International Workshop on Climate Informatics: CI 2018
Climate informatics is an emerging research area that combines the fields of climate science and data science (specifically machine learning, data mining and statistics) to...- publication PDF
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Simulation Testbed for Trend Detection and Attribution Methods
The field of detection and attribution has been growing for a couple of decades and has recently seen a increase in the quantity and sophistication of methods. The difficulty of...- publication PDF
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Proceedings of the 9th International Workshop on Climate Informatics: CI 2019
Climate informatics is an emerging research area that combines the fields of climate science and data science (specifically machine learning, data mining and statistics) to...- publication PDF
