CIRES/ESRL Atmospheric Physical Parameterizations Scientist

Boulder, Colorado
Jun 20, 2017
Jul 20, 2017
Education Level
Job Type
Relocation Cost
No Relocation
Sector Type

CIRES/ESRL Atmospheric Physical Parameterizations Scientist


The Cooperative Institute for Research in Environmental Sciences (CIRES) in Boulder, Colorado and the NOAA Earth System Research Laboratory (ESRL) have an immediate opening for a research associate with experience in numerical weather prediction with an emphasis in physical parameterizations.  The scientist will have an appointment within the Model Development Branch (MDB) of the ESRL Global Systems Division.

The scientist will develop and test modifications in physical parameterizations, as well as provide support to the broader community in conducting experiments and development.  The scientist will work in collaboration with other scientists in ESRL/GSD and also with the Developmental Testbed Center, Global Model Test Bed and other groups within ESRL, NCAR, NCEP and other collaborators through NOAA.  This work will be conducted using a variety of models, modeling systems, and frameworks, such as the Global Forecast System and the regional Rapid Refresh (RAP) and High-Resolution Rapid Refresh (HRRR) systems. It will involve work sponsored by NOAA’s Next Generation Global Prediction System (NGGPS) to interface with the broader research and development community to accelerate the advancement of physical parameterizations in NOAA’s operational models. The position is located in Boulder, Colorado.  Salary will be commensurate with experience.


Required skills

  • Ph.D. degree, or equivalent experience, in atmospheric or related science
  • Experience with Numerical Weather Prediction models
  • Experience in development, testing, and evaluation of physical parameterizations
  • Fluent knowledge of Fortran and Fortran 90
  • Expertise with Linux and UNIX operating systems
  • Experience in UNIX-based scripting languages
  • Excellent oral and written communication skills in English
  • Ability to work both independently and in a team environment
  • Availability to travel at the level of 2-3 trips/year

Desirable Skills

  • Knowledge of synoptic meteorology and forecasting experience
  • Experience with Weather Research and Forecasting (WRF) model (use and development)
  • Experience with a global modeling systems (use and development)
  • Experience with FV3 dynamic core
  • Experience with support of community codes
  • Experience with diagnostic and verification of meteorological forecasts
  • Experience with software for revision control management, such as SVN and Git.