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Support Scientist for GNSS Radio Occultation Climate Applications
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:
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
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