ESSIC and the Cooperative Institute for Satellite tv for pc Earth System Research (CISESS) of the College of Maryland, School Park, are looking for an skilled scientist to assist the International Navigation Satellite tv for pc System (GNSS) Radio Occultation (RO) local weather software work.
Date posted
Sep. 1, 2022 2:45 pm
Utility deadline
Oct. 31, 2022 5:00 pm
Group
ESSIC/CICESS on the College of Maryland
Location
Job description
ESSIC and the Cooperative Institute for Satellite tv for pc Earth System Research (CISESS) of the College of Maryland, School Park, are looking for an skilled scientist to assist the International Navigation Satellite tv for pc System (GNSS) Radio Occultation (RO) local weather software work. The RO knowledge have been used within the operational numerical climate prediction (NWP) system via knowledge assimilation to right temperature bias within the forecasts. Research confirmed that RO knowledge may be used as in orbit references to calibrate the measurements from infrared and microwave satellite tv for pc sounders. The RO crew at UMD/CISESS helps NOAA/NESDIS/STAR radio occultation analysis and growth duties.
UMD/CISESS is looking for a assist scientist to make use of the persistently processed RO bending angle, refractivity, and temperature and moisture profiles to generate RO knowledge merchandise for local weather evaluation. All the first RO missions (for instance, IGOR, GRACE, CNOFS, GACC, CHAMP, GPSMET, COSMIC-1, GRAS, KOMPSAT-5, PAZ, Sentinel-6, COSMIC-2), in addition to the Industrial RO knowledge (i.e., GeoOptics, and Spire), are included within the STAR’s Built-in Calibration and Validation System (ICVS) (https://ncc.nesdis.noaa.gov/GNSSRO/ICVS/index.php). The system offers well timed calibration/validation info suggestions for the near-real-time processing and produces long-term knowledge monitoring from the person satellite tv for pc launched for local weather purposes.
Major Duties:
- RO knowledge validation, monitoring, and knowledge upkeep and supply in a post-processed mode and re-processed modes
- operations and knowledge high quality monitoring, together with calibration and validation,
- long-term RO local weather knowledge monitoring and processing for local weather research
- Develop, check, and validate MetOp-SG RO knowledge high quality analysis instruments similar to collocation-based multi-RO, inter-comparison of MetOp-SG RO knowledge with radiosonde water vapor and temperature measurements, and O-B (background mannequin) inter-comparison software.
- Develop the algorithm to make use of RO bending angle, refractivity, and temperature and moisture profiles to develop local weather knowledge merchandise
- Use RO knowledge to quantify the mannequin uncertainty/biases, particularly within the tropical decrease troposphere and decrease stratosphere, and higher troposphere
- Confirm RO L2 product retrieval algorithm and processing instruments for L1b (extra section) to L2 (bending angle and refractivity).
- RO analysis and science inside NOAA and within the worldwide RO group
- Doc, current, and publish outcomes.
{Qualifications}:
Required Training/Expertise/Expertise:
• Minimal of 5 years of associated work expertise
• twoyears of expertise in GNSS and/or radio occultation science and expertise
• two years of expertise working with GPS RO knowledge local weather purposes and science
• Familiarity with satellite tv for pc knowledge for local weather purposes
• Working data of Python, IDL, and Expertise with Excessive-Efficiency Computing (HPC)
• Familiarity with radio occultation or associated devices
• In a position to collaborate successfully with different crew members to fulfill deadlines.
• Sturdy communication abilities, each written and verbal.
{Qualifications}:
- A Grasp’s diploma (Ph.D. most well-liked) in atmospheric science, local weather purposes, satellite tv for pc knowledge purposes, or associated fields.
Native contact: Dr. Xi Shao
To Apply: candidates ought to ship a CV with a listing of at the very least 3 skilled references and a canopy letter explaining how your {qualifications} meet the posted necessities to xshao@umd.edu.
THE UNIVERSITY OF MARYLAND IS AN EQUAL OPPORTUNITY AFFIRMATIVE ACTION EMPLOYER
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