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Activity Details
503
Thu, 8/6/2020,
10:00 AM -
2:00 PM
Virtual
Climate and Meteorological Statistics — Contributed Papers
Section on Statistics and the Environment
Chair(s): Staci Hepler, Wake Forest University
Constructing daily, high-resolution, bias-corrected climate products: a comparison of methods
Maike Holthuijzen, University of Vermont ; Brian Beckage, University of Vermont; Dave Higdon, Virginia Tech; Patrick J Clemins, University of Vermont; Jonathan Winter, Dartmouth College
Improved Observation-Based Simulations of Temperature and Humidity Accounting for Projected Changes from a Climate Model
Andrew Poppick, Carleton College ; Karen Aline McKinnon, University of California, Los Angeles
Conjugate Spatio-Temporal Bayesian Multinomial Polya-Gamma Regression for the Reconstruction of Climate Using Pollen
John Tipton
Identifying Meteorological Factors Associated with High PM_2.5 Levels via a Bayesian Spatial Quantile Regression
Stella Coker Watson Self, University of South Carolina ; Christopher McMahan, Clemson University; Brook Russell, Clemson University
Bootstrap-Based Identification of the Surface Impact of Sudden Stratospheric Warmings
Jessica Oehrlein, Columbia University ; Lorenzo M. Polvani, Columbia University; Clara Deser, National Center for Atmospheric Research
A Study of Snow Water Equivalent in the Sierra Nevada of California, Using Snow Pillow Data
Wendy Meiring, University of California, Santa Barbara ; Eduardo L. Montoya, California State University Bakersfield; Jeff Dozier, University of California Santa Barbara
Bayesian Hierarchical Models for Statistical Downscaling of Climate Models
Ayesha Kumari Ekanayaka Katugoda Gedara, University of Cincinnati ; Emily Kang, University of Cincinnati ; Peter Kalmus, NASA Jet Propulsion Laboratory; Amy Braverman, Jet Propulsion Laboratory, California Institute of Technology
A Nonparametric Bootstrap Approach for Evaluating Climate Model Accuracy
Joshua French, University of Colorado-Denver ; Piotr Kokoszka, Colorado State University
