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Session Proposal: Risk analytics for a warming world (AGU25)

GC093
Risk analytics for a warming world

Session ID#: 252535

Session Description:
Floods, hurricanes, wildfires, droughts, and other weather-related extremes of recent years have increased public demand for information about climate risks. Water and electricity sectors are increasingly engaged in adaptation planning. Businesses and financial entities that have not traditionally considered climate change now want to assess their climate risk. All this demand has spurred an increase in climate services technology, as witnessed by the rapid growth in public and private sector entities offering a myriad of climate analytics. In this session we will collectively discuss challenges and opportunities within this growing climate analytics ecosystem to better understand what is needed from both climate data providers and users. We will invite climate analytics innovators to share their approaches, those who use climate analytics to share use cases, and all presenters to offer lessons learned that help us better understand how to meet the growing demand for climate change information and decision support.
Co-Sponsor(s):
  • IN - Informatics
  • NH - Natural Hazards
  • SY - Science and Society
Index Terms:

1630 Impacts of global change [GLOBAL CHANGE]
1637 Regional climate change [GLOBAL CHANGE]
1930 Data and information governance [INFORMATICS]
1976 Software tools and services [INFORMATICS]
Primary Convener:  Oriana Chegwidden, CarbonPlan, San Francisco, United States
Conveners:  Julie A Vano, Aspen Global Change Institute, Basalt, United States and Kristina Dahl, Climate Central, Princeton, United States
Student/Early Career Convener:  Oriana Chegwidden, CarbonPlan, San Francisco, United States
 
Examining the Use of Risk Analytics in Climate Adaptation and Vulnerability Assessments (1979912)
Owen M Doherty, Jacola Roman, Hector Alejandro Inda Diaz, Will Krantz, Victoria Ford, Calvin Chen, Ana Cristina Ordonez, Yu-Chuan Tien, Jesse Espinoza and Mark D Koenig, Eagle Rock Analytics, Sacramento, United States
 
From Awareness to Impact: Application of Causal Machine Learning for Climate Risk and Action (1983119)
Kenneth Chung, University of Pennsylvania, Philadelphia, PA, United States
 
A Science-Informed Climate Risk Portal for North America: Making Climate Data Usable, Actionable, and Accessible (1983361)
Jonathan L Vigh1, Khai Hoan Nguyen2, Rachel Rose McCrary1, Lee Kessenich1, Isla Simpson3, James Done4, Jahan Taganova2 and Rajesh Kumar1, (1)NSF National Center for Atmospheric Research, Research Applications Laboratory, Boulder, United States, (2)City and County of Denver, Office of Climate Action, Sustainability and Resiliency, Denver, United States, (3)NSF National Center for Atmospheric Research, Climate & Global Dynamics Laboratory, Boulder, United States, (4)NSF National Center for Atmospheric Research, Mesoscale & Microscale Meteorology Laboratory, Boulder, United States