Support Scientist for GNSS Radio Occultation Climate Applications

ESSIC and the Cooperative Institute for Satellite Earth System Studies (CISESS) of the University of Maryland, College Park, are seeking an experienced scientist to support the Global Navigation Satellite System (GNSS) Radio Occultation (RO) climate application work.

 

Date posted

May 18, 2022 4:30 pm

Application deadline

July 31, 2022 5:00 pm

Organization

ESSIC and the Cooperative Institute for Satellite Earth System Studies of the University of Maryland

Location

  • United States

Job description

ESSIC and the Cooperative Institute for Satellite Earth System Studies (CISESS) of the University of Maryland, College Park, are seeking an experienced scientist to support the Global Navigation Satellite System (GNSS) Radio Occultation (RO) climate application work. The RO data have been used in the operational numerical weather prediction (NWP) system through data assimilation to correct temperature bias in the forecasts. Studies showed that RO data could also be used as in orbit references to calibrate the measurements from infrared and microwave satellite sounders. The RO team at UMD/CISESS supports NOAA/NESDIS/STAR radio occultation research and development tasks.

UMD/CISESS is seeking a support scientist to use the consistently processed RO bending angle, refractivity, and temperature and moisture profiles to generate RO data products for climate assessment. All the primary RO missions (for example, IGOR, GRACE, CNOFS, GACC, CHAMP, GPSMET, COSMIC-1, GRAS, KOMPSAT-5, PAZ, Sentinel-6, COSMIC-2), as well as the Commercial RO data (i.e., GeoOptics, and Spire), are included in the STAR’s Integrated Calibration and Validation System (ICVS) (https://ncc.nesdis.noaa.gov/GNSSRO/ICVS/index.php). The system provides timely calibration/validation information feedback for the near-real-time processing and produces long-term data monitoring from the individual satellite launched for climate applications.

Primary Duties:

  • RO data validation, monitoring, and data maintenance and delivery in a post-processed mode and re-processed modes  
  • operations and data quality monitoring, including calibration and validation,
  • long-term RO climate data monitoring and processing for climate studies
  • Develop, test, and validate MetOp-SG RO data quality evaluation tools such as collocation-based multi-RO, inter-comparison of MetOp-SG RO data with radiosonde water vapor and temperature measurements, and O-B (background model) inter-comparison tool.
  • Develop the algorithm to use RO bending angle, refractivity, and temperature and moisture profiles to develop climate data products
  • Use RO data to quantify the model uncertainty/biases, especially in the tropical lower troposphere and lower stratosphere, and upper troposphere
  • Verify RO L2 product retrieval algorithm and processing tools for L1b (excess phase) to L2 (bending angle and refractivity).
  • RO research and science within NOAA and in the international RO community
  • Document, present, and publish results.

Qualifications:

Required Education/Experience/Skills:

• Minimum of 5 years of related work experience
• twoyears of experience in GNSS and/or radio occultation science and technology
• two years of experience working with GPS RO data climate applications and science
• Familiarity with satellite data for climate applications
• Working knowledge of Python, IDL, and 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, climate applications, satellite data applications, or related fields.
  • US citizenship or Permanent Resident (Green Card holder)

Local contact: Dr. Xi Shao

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 xshao@umd.edu.

THE UNIVERSITY OF MARYLAND IS AN EQUAL OPPORTUNITY AFFIRMATIVE ACTION EMPLOYER

For more details

https://essic.umd.edu/joom2/index.php/employment/3112-support-scientist-for-gnss-radio-occultation-climate-applications