GC41C:
Interpreting Uncertainty in Climate Models, Observations, and Large Data Sets to Better Inform Scientific Understanding in Geoscience I
GC41C:
Interpreting Uncertainty in Climate Models, Observations, and Large Data Sets to Better Inform Scientific Understanding in Geoscience I
Interpreting Uncertainty in Climate Models, Observations, and Large Data Sets to Better Inform Scientific Understanding in Geoscience I
Submit an Abstract to this Session
Session ID#: 59161
Session Description:
Interpreting climate simulations, associated observational data, and assessing their uncertainties are essential to understanding changes in atmospheric, land, oceanic, and socio-economic systems and processes. Quantified uncertainty is needed to identify human-induced causes of climate change, to attribute the occurrence of extreme weather events to anthropogenic factors as well as to predict the impact of the evolving polar climate. We seek contributions in model interpretation, evaluation of models against observations, as well as studies that identify, quantify, or interpret uncertainty in climate models and/or observations. Contributions may address models and observations at multiple spatial and temporal scales. We welcome all studies in forecasting, sensitivity analyses, data assimilation and statistical inverse problems using climate, Earth system, integrated assessment, and impact assessment models.
Primary Convener: Donald D Lucas, Lawrence Livermore National Laboratory, Livermore, CA, United States
Conveners: Sihan Li, Oxford e-Research Centre, Oxford University, Oxford, United Kingdom, Elisabeth A Lloyd, Indiana University Bloomington, History and Philosophy of Science and Medicine, Bloomington, IN, United States and Linnia Hawkins, Oregon State University, Corvallis, OR, United States
Primary Liaison: Donald D Lucas, Lawrence Livermore National Laboratory, Livermore, CA, United States
Chairs: Sihan Li, Oxford e-Research Centre, Oxford University, Oxford, United Kingdom, Elisabeth A Lloyd, Indiana University Bloomington, History and Philosophy of Science and Medicine, Bloomington, IN, United States, Ambarish Karmalkar, University of Rhode Island, Department of Geoscience, Narragansett, RI, United States and Donald D Lucas, Lawrence Livermore National Laboratory, Livermore, CA, United States
OSPA Liaison: Donald D Lucas, Lawrence Livermore National Laboratory, Livermore, CA, United States
Cross-Listed:
- A - Atmospheric Sciences
- IN - Earth and Space Science Informatics
- NH - Natural Hazards
- SI - Societal Impacts and Policy Sciences
Index Terms:
1626 Global climate models [GLOBAL CHANGE]
1968 Scientific reasoning/inference [INFORMATICS]
1990 Uncertainty [INFORMATICS]
3275 Uncertainty quantification [MATHEMATICAL GEOPHYSICS]
Abstracts Submitted to this Session:
See more of: Global Environmental Change