[ES_JOBS_NET] CIRES/PSD Research Associate, physical and statistical processes associated with climate variations and extreme events

Christine Wiedinmyer christin at ucar.edu
Wed Aug 6 11:12:09 MDT 2014


The Cooperative Institute for Research in Environmental Sciences (CIRES) 
in Boulder, Colorado is seeking a scientist to work in the NOAA Earth 
System Research Laboratory/Physical Sciences Division (PSD) to conduct 
studies on the physical and statistical processes associated with 
climate variations and extreme events so as to improve understanding of 
underlying causes and related predictability. This position is located 
in Boulder, Colorado.

The applicant would apply theory, numerical modeling, and statistical 
methods to construct dynamical knowledge on the factors causing climate 
variability on a wide range of space and time scales. The scope of the 
work would involve deriving detailed and reliable information on the 
sensitivity of climate to forcing including risk of extreme events due 
to natural variability, and changes in the behavior of extreme events 
due to global warming. The applicant would be engaged in design of 
observational and modeling studies intended to diagnose and explain 
causes for evolving climate conditions, including the causes of extreme 
events such as floods, droughts, and heat waves.

The position involves working with a team of NOAA and University 
scientists conducting near realtime attribution of evolving climate. The 
scope of responsibilities includes the interpretation of observational 
and reanalysis data sets and model simulations of forced and unforced 
coupled ocean-atmosphere variability. The candidate would be engaged in 
diagnosing global observational datasets and climate models, comparing 
observational results with those predicted by theory, and the simulation 
of the coupled system responses to natural and external forcing. The 
applicant would contribute to activities to detect the effects of 
forcings in climate and its impact on the physical and statistical 
properties of extreme events using advanced statistical methods.

Minimum Qualifications
The applicant will have a PhD degree in geophysical science.
The applicant will have demonstrated a particular focus on climate 
dynamics. Additional knowledge in one or more of these areas is 
desirable (i) diagnostic methods for determining physics of climate 
variability, (ii) climate models and their applications, (iii) computing 
systems to perform climate model simulations, (iv) statistical 
techniques including detection techniques, extreme value theory, Bayes 
estimation methods, and a large variety of analysis techniques such as 
EOFs, SVD, SSA. The applicant is expected to contribute to a team 
conducting near-realtime climate attribution, to conduct new research, 
to lead in contributing to publications in peer-reviewed journals, and 
give presentations of research at science conferences.

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