IMAGe Brown Bag - Kate Saunders

An Application of Max-Stable Processes to Modelling Extreme Daily Rainfall in Australia
Kate Saunders
The University of Melbourne

IMAGe Triple Crown 2016 Statistics Edition

You are invited to participate in an afternoon of statistics seminars at NCAR.

Date: Thursday, July 14, 2016   (Bastille Day!)

Time: 1:00 pm-4:00 pm

Location: NCAR, Mesa Lab, Main Seminar Room


Each presentation will be followed by a short discussion and a coffee break.

Covariate-Driven Nonstationary Spatial Modeling

IMAGe Seminar- Brian Reich

A spectral method for spatial downscaling
Brian Reich
North Carolina State University

IMAGe Brown Bag- Matt Edwards

Multivariate Space-time Modelling of Global Climate Ensembles 

Matt Edwards
Newcastle University

IMAGe Brown Bag- Colette Smirniotis

Modeling Snow Water Equivalent in the Rocky Mountain Region

Colette Smirniotis
San Diego State University

IMAGe Brown Bag - Lee Richardson, Carnegie Mellon

The Quicksort Probability Distribution 
Lee Richardson
Carnegie Mellon University

IMAGe Brown Bag

Uncertainty in Pattern Scaling and Addressing Big Data

Doug Nychka


IMAGe Brown Bag

Stochastic simulation of predictive space-time scenarios of wind speed using observations and physical model outputs

Dr. Julie Bessac
Argonne National Laboratory

Bayes in Space! — NASA’s CO2 Measurements and Uncertainty Quantification

NASA's Orbiting Carbon Observatory-2 (OCO-2) mission is now actively collecting space-based measurements of atmospheric carbon dioxide (CO2). Data are collected with high spatial and temporal resolution and the data product includes both an estimate of column averaged CO2 dry air mole fraction (XCO2) and an estimate of uncertainty. In this talk we will take a look at how these estimates are obtained. As with any remote sensing method, the measurements are indirect. The OCO-2 instrument measures reflected sunlight in three spectral bands that make a single "sounding”.

Two studies of statistical modeling of environmental extremes

In this talk, we will present two separate studies which analyze environmental extremes.


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