[ES_JOBS_NET] Associate Scientist III, WRF-Hydro Modeling, Boulder, CO

Christine Wiedinmyer christin at ucar.edu
Thu May 28 06:08:11 MDT 2015

*Associate Scientist III*
UCAR-Boulder, CO


*PLEASE NOTE:*This is a full time, one year term position (with 
possibility of extension). Initial consideration will be given to 
applications received prior to 4:00 p.m. on Friday, May 29, 2015. 
Thereafter, applications will be reviewed on an as-needed basis.

NCAR – Hydrometeorology Applications Program (HAP) at NCAR’s Research 
Applications Laboratory (RAL)

Relocation Benefits not provided.

UCAR. NCAR will not sponsor a work visa to fill this position

*BASIC JOB FUNCTION:*Supports the development, application and 
assessment of the community WRF-Hydro system for regional and 
continental scale streamflow forecasting. Prepares land surface 
hydrological and meteorological forcing data for ingest into to 
operational hydrometeorological prediction models. Helps lead efforts to 
benchmark the WRF-Hydro system in a variety of different test 
configurations and study domains. Works closely and collaboratively with 
partners from U.S. federal agencies, university researchers and 
international collaborators.

Obtains hydrometeorological datasets from operational federal and state 
data providers. Conducts quality control testing of datasets to prepare 
the data for ingest into the WRF-Hydro model (e.g., works to identify 
gaps in data, flag anomalies, etc.).

Sets up and conducts streamflow forecasting benchmarking experiments in 
a variety of different test configurations and study domains to evaluate 
WRF-Hydro’s skill and computational efficiency in conducting streamflow 
simulations and forecasts.

Develops new methods for downscaling weather and climate forecasts 
through creation of new processing and analysis scripts for pre- and 
post-processing geospatial and hydrometeorological data[md1] used in 

Communicates research results through publication in peer-reviewed 
journals, meeting proceedings, project websites, technical documentation 
and presentations at scientific meetings.

*Education and Experience:*
Bachelor’s degree in hydrologic science, atmospheric sciences or closely 
related disciplines; advanced degree in one of these fields is highly 

*3-5 years’ experience, including the following:*
Well-developed experience in hydrological modeling and in hydrological 
model evaluation

Demonstrated record of technical document preparation and communication

*Knowledge, Skills and Abilities:*
Demonstrated expertise in hydrological modeling and hydrologic model 

Demonstrated expertise in geospatial analysis.

Working knowledge of common hydrological and atmospheric data structures 
and formats (e.g., netcdf, WaterML)

Demonstrated ability to make significant contributions to peer-reviewed 
publications, reports and technical documentation.

Demonstrated ability to effectively work with experts from different 
disciplinary fields both within NCAR, with our partner universities and 
federal agencies (e.g., NOAA, U.S. Army Corp of Engineers, USGS, NASA, 
and Bureau of Reclamation).

Strong skills in written and oral communication of research results.

Demonstrated skill in the use of scientific programming languages such 
as FORTRAN, R, NCL, C, and/or Python

Ability to work effectively on team of scientists and engineers.

Ability to prioritize, organize and follow through on tasks.

Ability to apply independent decision making and initiative within the 
scope of assigned tasks

Ability to be flexible in handling high priority projects and competing 

*Desired but not required:*
Familiarity with hydrological model calibration/optimization 
methodologies and hydrologic data assimilation methodologies

Experience using the Weather Research and Forecasting (WRF) model

Experience in building and running hydrological models on 
parallel-computing architectures

The University Corporation for Atmospheric Research (UCAR) is an equal 
opportunity employer . We evaluate qualified applicants without regard 
to race, color, religion, gender, national origin, ancestry, age, 
marital status, sexual orientation, domestic partner status, disability, 
or veteran status.

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