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RDCEP

Center for Robust Decision making on Climate and Energy Policy

Climate Statistics

understanding properties of the changing climate and informing research on societal impacts

RDCEP
  • Research/
    • Research Areas
    • Publications
  • Education/
    • Graduate & Postdoctoral
    • Undergraduate
    • K-12 Education
  • Events/
  • Data & Tools/
  • About Us/
    • Our Mission
    • People
    • Job Opportunities
    • Contact Us
  • search/

Our work in climate statistics is motivated by the need to understand potential climate changes under rising CO2 levels and their impact on human societies. We apply statistics to understand the properties of both observations and large-scale climate models. We seek to characterize changing climate means, variability, and extremes, and also to emulate them: to develop reduced-form statistical models that capture important aspects of the changing climate system. We study the dynamics driving model behavior; our work focuses on impacts-relevant factors including temperature, precipitation, soil moisture, and their interactions.

Projects

Featured
AICCA: AI-Driven Cloud Classification Atlas
AICCA: AI-Driven Cloud Classification Atlas
Climate variability: statistics and observation based simulations
Climate variability: statistics and observation based simulations
Climate model emulation
Climate model emulation
Precipitation in future climates: rainstorms
Precipitation in future climates: rainstorms
Climate extremes
Climate extremes
Soil Moisture
Soil Moisture

Models and Frameworks

Featured
FACE-IT
FACE-IT
Climate Emulator
Climate Emulator

Funded under NSF Decision Making Under Uncertainty Program.  Award No. SBE-1463644

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