Atmospheric Scientist

This position will support the drought outlooks and services, CPC also performs extensive research and development (R&D) to improve its drought prediction capability and products.

 

Date posted

Sep. 29, 2022 4:15 pm

Application deadline

Oct. 29, 2022 5:00 pm

Organization

Earth Resources Technology

Location

  • United States

Job description

ERT is seeking a full-time physical scientist/scientific programmer to support tasks at the Climate Prediction Center (CPC), part of the National Weather Service (NWS), National Centers for Environmental Prediction (NCEP). CPC is an operational center where the NOAA subseasonal and seasonal drought outlooks are routinely produced for the public. To support the drought outlooks and services, CPC also performs extensive research and development (R&D) to improve its drought prediction capability and products. This includes evaluating the ability of existing dynamical and statistical modeling tools to forecast drought, producing subseasonal-to-seasonal (S2S) forecasts of various drought types, developing new drought forecast tools/maps in support of CPC drought outlooks, and improving drought forecasts by incorporating recent developments in drought monitoring and prediction science and technology. In the above context, CPC investigates S2S prediction and predictability of drought, including its atmospheric and land hydrological components (e.g., low precipitation, warm temperatures, soil moisture deficits), in the current changing climate. This position supports the above drought R&D effort, and is an integral part of CPC working groups for related ongoing and upcoming projects.  

Specific duties of the position, not exclusively, include:

  • Evaluating S2S dynamical climate model forecasts (e.g., for precipitation deficits), and applying existing bias-correction and calibration methods to improve skill and reliability of the forecasts
  • Producing and evaluating forecasts for land surface (e.g., soil moisture) by driving land surface models with the post-processed meteorological forecasts
  • Producing and evaluating forecasts for various drought types as well as performing objective drought blends to produce integrated drought forecasts 
  • Performing research to investigate S2S drought prediction and predictability, and developing new methods and/or applying existing ones (e.g., from external research collaborators) to improve drought forecasts. 
  • Presenting research findings at scientific conferences and workshops

Required Skills

  • Understanding subseasonal-to-seasonal (S2S) climate prediction and predictability.
  • Knowledge of large-scale ocean-atmosphere phenomenon and indices.
  • Experience with statistical analysis of atmosphere-land-ocean phenomena.
  • Knowledge of common drought indicators/indices and their advantages and disadvantages.
  • Proficiency in using programming (e.g., Python, Fortran, MATLAB), Unix scripting languages, and visualization software to process, analyze, visualize and interpret large observational datasets and dynamical model forecasts.
  • Ability to run dynamical models to produce climate forecasts.
  • Ability to work both independently and as part of a team.
  • Excellent written and verbal skills.

The candidate must be a U.S. Citizen, or Permanent Resident holding a working status, and be able to pass a NACI clearance.

Education
M.S. in Atmospheric Science, Meteorology, or Hydrology or equivalent experience. PhD preferred.

Location

The position is eligible for up to 80% telework. Candidates must be able to work on site as needed at the National Center for Weather and Climate Prediction in College Park, MD, where they will work closely with scientists at both CPC and other NOAA agencies. 

ERT is a VEVRAA Federal Contractor and Equal Opportunity/Affirmative Action employer - All qualified applicants will be considered for employment without regard to race, color, religion, sex, national origin, disability, or protected Veteran status.

 

For more details

https://phh.tbe.taleo.net/phh04/ats/careers/v2/viewRequisition?org=ERT&cws=49&rid=3042