Support Scientist for GNSS Radio Occultation Data Assimilation

ESSIC and the Cooperative Institute for Satellite Earth System Studies (CISESS) of University of Maryland, College Park, is seeking an experienced data assimilation scientist.

 

Date posted

Sep. 15, 2020 12:00 am

Application deadline

Oct. 15, 2020 12:00 am

Organization

ESSIC and the Cooperative Institute for Satellite Earth System Studies (CISESS) of University of Maryland,

Location

  • United States

Job description

Support Scientist for GNSS Radio Occultation Data Assimilation

Department: UMD/ESSIC/CISESS
Starting Salary: Commensurate with experience
Closing Date: Friday, October 30, 2020

Duties:

ESSIC and the Cooperative Institute for Satellite Earth System Studies (CISESS) of University of Maryland, College Park, is seeking an experienced data assimilation scientist to support the Global Navigation Satellite System (GNSS) Radio Occultation(RO) data assimilation work. The RO data have been used in operational numerical weather prediction (NWP) system through data assimilation to correct temperature bias in the forecasts. The RO team at UMD/CISESS supports NOAA/NESDIS/STAR radio occultation research and development tasks.

Primary Duties:

  • Characterize O-B bending angle profile bias and uncertainty between data retrieved from COSMIC-2 and from forward modeling with Global Forecasting System (GFS). 
  • Evaluate the impacts of assimilating COSMIC-2 and other radio occultation data on the global and regional numerical weather prediction (NWP).
  • Develop schemes to quantify and interpret results in sensitivitystudies that isolate the impact of RO data on numerical weather prediction.
  • Develop schemes to evaluate the impact of observation error on the weather forecasting.
  • Update or improve the RO data quality control schemes in the data assimilation systems andevaluate the impacts through sensitivity studies.
  • Quantify the uncertainty of RO observations using all available data including reanalysis
  • Use RO data to quantify the model uncertainty/biases especially in the tropical lower troposphere
  • Assist NCEP for using RO data in the NCEP system
  • Document, present, and publish results.

Qualifications:

  • Minimum of 5 years related work experience• 2years’ of experience in GNSS and/or radio occultation science and technology
  • 2 years' experience working with GPS RO data assimilation for numerical weather prediction
  • Familiarity with satellite data assimilation techniques
  • Experience with severe weather dynamics and forecasting
  • Experience with high-resolution numerical models and NWP, such as Weather Research Forecasting Model (WRF), or equivalent
  • Working knowledge of Python, IDL, Experience with High Performance Computing (HPC)
  • Familiarity with radio occultation or related instruments
  • Able to collaborate effectively with other team members to meet deadlines.
  • Strong communication skills, both written and verbal

Qualifications:

  • A Master's degree (Ph.D. preferred) in atmospheric science, data assimilation, numerical weather prediction or related fields.
  • US citizenship or Permanent Resident (Green Card holder)

To Apply: Interested candidates should send a CV with a list of at least 3 professional references and a cover letter explaining how your qualifications meet the posted requirements to anegri@umd.edu.

THE UNIVERSITY OF MARYLAND IS AN EQUAL OPPORTUNITY AFFIRMATIVE ACTION EMPLOYER