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Postdoctoral Opportunities in Statistics at the National Center for Atmospheric Research

Research Projects ... (Collaborating NCAR scientist(s) and division in italics.)

Current GSP post-docs

• Quantifying uncertainties in climate system properties Chris Forest, MIT; Bruno Sanso University of California, Santa Cruz
• Climate change detection and attribution Tom Wigley, NCAR
• Test for climate similarity Bill Collins, NCAR

• Ensemble Kalman Filtering; Thomas Bengtsson, Berkeley; Jeff Anderson, NCAR
• Compactly Supported Covariance Functions Marc Genton, Texas A&M University
• Covariance Estimation under Spatial Dependence
• Inverse Problems and the Carbon Cycle Dave Baker, Peter Hess, Dave Schimel (all NCAR)

• Data assimilation problems in space weather research; Jeff Anderson, MMM

• Hourly precipitation extremes; Mary Downton and Rebecca Morss, ISSE
• Perfect Sampling

... other GSP members

• Tim Hoar
• Computational, Geophysical support for the Geophysical Statistics Project
• Data Assimilation Jeff Anderson, Kevin Raeder, Hui Liu
• Analysis of remotely-sensed oceanic winds Ralph Milliff Colorado Research Associates; Rol Madden CGD


• Doug Nychka
• Spatial Statistics for large datasets
• Asymptotic theory for spatial process estimates.


• Dan Cooley, University of Colorado, Boulder,
• Downscaling of extreme values Naveau, University of Colorado
part of the Weather and Climate Impact Initiative.


• Curtis Storlie, Thomas Lee, Colorado State University,
• Census algorithms, vortex(feature?) tracking Jeff Weiss, University of Colorado
• Robust wavelet method for spatial smoothing Hee-Seok Oh, University of Alberta


• Steve Sain, CU-Denver,
• Crop modeling, weather generators
Sarah Streett, Uli Schneider

Former GSP post-docs " ... when we last left our hero ..."

• Barbara Bailey now at the University of Illinois.
• Spatio-temporal models for clouds using neural networks William Collins, CGD
• Stochastic modeling of three-species plankton community food webs Scott Doney, Woods Hole Oceanographic Institution
• Estmating the signal-to-noise ratio of the climate system Rol Madden, CGD


• Jarrett Barber, now at Montana State University,
• Modeling spatio-temporal data with applications to ecology and the environment.


• Enrica Bellone, now at the University College (London) Dept. of Statistical Science,
• Cloud Geometry
• Precipitation in the SouthEast United States
• Atmospheric Chemistry


• Thomas Bengtsson, now at UC Berkeley,
• Forecasting and Data Assimilation
• Estimating Upper Ocean Current Fields


• Montserrat Fuentes now at North Carolina State University
• Spatial-temporal decorrelation length scales in the SeaWiFS ocean color data for the North Atlantic ocean, Scott Doney , of Woods Hole Oceanographic Institution.
• Construction of fine resolution (.5 degrees) historical climate fields, Tim Kittel, Dave Schimel and Nan Rosenbloom of the Terrestrial Sciences Section (CGD). This work is a component of the VEMAP project..
• Evaluation of the temporal (~100 yr) and spatial (e.g., western U.S.) relationships among tree-ring datasets: the VEMAP model results, some climate inputs, and satellite data, to determine the value of generating ensembles of climate datasets for ecological situations such as VEMAP. Tim Kittel and Dave Schimel, CGD.


• Craig Johns, now at CU Denver,
• Infilling incomplete historical climate fields, with Tim Kittel, Nan Rosenbloom, Terrestrial Sciences Section (CGD) and Chris Daly (Oregon State). This work is a component of the VEMAP project.


• Wendy Meiring, now at UC Santa Barbara.
  • Functional data analysis methodology for studying sources of variation in the vertical profile of stratospheric ozone levels over time
  
  
• Philippe Naveau now at the University of Colorado at Boulder, Dept. of Applied Mathematics
  • Statistical Models for Mesoscale Organized Convection using wavelets Mitch Montcrieff (NCAR, MMM) and J.I. Yano (CRCSHM)
  
  
• Hee-Seok Oh, now at the University of Alberta, Department of Mathmatical and Statistical Sciences
  • Wavelet Analysis
  • Variable Stars
  • Long-term Climate Records and Proxies
  
  
• Andy Royle, now with the U.S. Fish and Wildlife Service
  • General Research Interests: Spatial statistics, spatio-temporal modeling, optimal spatial design.
  • Recent (on-going) projects involving multivariate spatial modeling include modeling wind and pressure fields in the Labrador Sea, and modeling sulfate deposition and ozone using meteorology information.
  • Doug Nychka and I are also working on the problem of kriging massive data sets . The application here is motivated by interests of Tim Kittel, Dave Schimel and Nan Rosenbloom of the Terrestrial Sciences Section (CGD). The specific project involves construction of fine resolution historical climate fields. This work is a component of the VEMAP project..
  
  
• Gary Sneddon, now at Memorial University in balmy Newfoundland.
  • Bayesian approach to data assimilation of precipitation observations Ron Errico, NASA/GSFC
  • Use of ensemble forecasting to estimate and update background covariance matrices in short-range forecasts. Doug Nychka, GSP; Chris Snyder and Tom Hamill, MMM
  
  
• Sarah Streett, now at National Institute of Standards Technology,
• Quantifying Uncertainties Associated with Crop Modelling; Linda Mearns, ISSE


• Claudia Tebaldi now at ISSE,
  • Prediction of atmospheric turbulence from numerical model output using Flexible Discriminant Analysis, Barbara Brown, RAP
  • Downscaling, i.e. linking local precipitation to global circulation using Markov models, Rick Katz, ISSE
  • Estimation of Multiple Equilibria in large scale dynamics. Identifying and characterizing different regimes in the evolution of atmospheric variables, Grant Branstator, CGD
  
  
• Brandon Whitcher, now at GlaxoSmithKline (London), Research Statistics Unit
  • Stochastic Multiresolution Models for Turbulence
  • A Wavelet Solution to Spurious Regression
  • Wavelet Methods for Spatial Stochastic Processes
  • Seasonal Spectral Analysis of Atmospheric Time Series
  
  
• Chris Wikle now at the University of Missouri
  • Spatio-temporal hierarchical Bayesian blending of tropical ocean surface wind data, Ralph Milliff, Colorado Research Associates; Doug Nychka, GSP; Mark Berliner, Ohio State
  • Forcing non-linear deterministic models with distributional datasets, Ralph Milliff Colorado Research Associates, Bill Large; CGD/OCE
  • Turbulence aspects of surface wind wavenumber spectra Ralph Milliff, Bill Large, CGD/OCE
  • Space-time models and dynamic design of environmental monitoring networks, Andy Royle, GSP
  • Developing robust indices of spatio-temporal climate processes, Jim Hurrell, CGD/CAS