CIRES/GSD GNSS Research Associate

CIRES/GSD GNSS Research Associate
The Cooperative Institute for Research in Environmental Sciences (CIRES) at the University of Colorado Boulder seeks to

fill a Research Associate (RA) position. This position will be within the National Oceanic and Atmospheric

Administration (NOAA), Earth System Research Laboratory (ESRL), Global Systems Division (GSD) in Boulder, Colorado

(office will be in Boulder).

The Global Observing Systems Analysis (GOSA) Group from the NOAA/ESRL Global Systems Division (GSD) helps NOAA

management to cost-effectively identify and prioritize current and future observing system solutions to improve the

skill of NOAA's global weather prediction models.
The GOSA Group conducts Observing System Experiments (OSEs) and Observing System Simulation Experiments (OSSEs) to

improve the uses of current observations and to evaluate how new observations could improve our understanding of the

Earth's atmosphere.

Furthermore, GOSA leads NOAA research on Radio Occultation (RO) observations as input to global and regional weather

forecast models. The Global Navigation Satellite Systems (GNSS) RO technology consists of placing satellites at lower

orbits that enable tracking of the GNSS signals. From a Low Earth Orbit (LEO) satellite standpoint, an occultation

occurs when the transmitting GNSS satellite sets or rises behind the Earth. During an occultation, the rays connecting

the GNSS and LEO satellites scan the atmosphere quasi-vertically, providing information on the thermodynamic state of

the atmosphere. RO soundings are assimilated at most operational numerical weather prediction centers and they are

ranked as one of the top contributors in improving global forecast skill. RO is minimally affected by clouds and

precipitation, provides equal accuracy over land than over oceans, and profiles are provided at a very higher vertical

resolution and thus, are capable of resolving smaller vertical structures. Finally, as a result of the unbiased nature

of RO measurements, assimilating these observations acts as an "anchor" to the model, preventing it from drifting

towards its climatology, and thus enhancing satellite radiance data assimilation. NOAA started assimilating RO

observations into its global data assimilation system from the US/Taiwan COSMIC mission in May 2007. At the present,

NOAA is using operational data from the following additional satellites: GRAS on MetOp-A/B, TerraSAR-X, and GRACE-A/B.

Retrievals from other missions are planned to be assimilated once the data become available in real-time and their

accuracy is fully evaluated.

The goal of this project is to continue improving the utilization of RO observations into NOAA's models. The candidate,

and under the supervision of the GOSA Chief, will be working on improving current assimilation algorithms to improve

weather forecast skill. This includes building more accurate forward operators, better use of the data in the lower

troposphere and mid- stratosphere, increasing impact of GNSS RO on moisture fields, optimizing quality control

procedures, updating observation error characteristics, and RO data-readiness and monitoring. Furthermore, the

candidate will be working on the evaluation of the impact of RO on the assimilation of radiance data and the

complementarity of the different satellite observing systems in global weather forecasting.
The incumbent is also expected to participate in research work related to other applications of the GNSS technology

(e.g. reflections), by exploring methodologies to use these products into weather models and evaluating their impact in

weather forecast skill through OSEs/OSSEs.

The successful candidate will be a member of the GOSA Group, located in Boulder, CO., and he/she is expected to work

with the rest of the GOSA Group and to collaborate with scientists at the NOAA Atlantic Oceanographic and

Meteorological Laboratory (AOML), the National Weather Service, and other NOAA institutions. He or she will also be

responsible for presenting findings at scientific meetings and publishing results in scientific journals.


Required Qualifications:
* A PhD degree in atmospheric sciences or related fields
* Knowledge in theoretical and data assimilation methods
* Knowledge in remote sensing
* Knowledge in numerical weather prediction and meteorological analysis
* Experience with Fortran programming, UNIX/LINUX systems, and statistical analysis and visualization packages
* Ability to work in a team
* Capability in oral and written communications

Special Instructions to Applicants:The University of Colorado Boulder conducts background checks on all final applicants being considered for employment, prior to the issuance of an offer letter. The University of Colorado Boulder is committed to providing a safe and productive learning, living and working community. To achieve this goal, we conduct background investigations for all final applicants being considered for employment. Background investigations include a criminal history record check, and an EPLS (Excluded Parties List System) check. The Immigration Reform and Control Act requires that verification of employment eligibility be documented for all new employees by the end of the third day of work.

The University of Colorado is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained faculty and staff. In compliance with applicable laws and in furtherance of its commitment to fostering an environment that welcomes and embraces diversity, the University of Colorado does not discriminate on the basis of race, color, creed, religion, national origin, sex (including pregnancy), disability, age, veteran status, sexual orientation, gender identity or expression, genetic information, political affiliation or political philosophy in its programs or activities, including employment, admissions, and educational programs. Inquiries may be directed to the Boulder Campus Title IX Coordinator by calling 303-492-2127. In accordance with the Americans with Disabilities Act, alternative formats of this ad can be provided upon request for individuals with disabilities by contacting Human Resources at

Application Materials Required:Cover Letter, Resume/CV, Reference Letters (Not Confidential), Unofficial transcript(s)

Application Materials Instructions:Applicants must complete the Faculty/University Staff and EEO Data (application) form, and upload the following required documents: 1 - Cover Letter; 2 - Resume; 3 - The document uploaded for Proof of Degree can be a Transcript which shows the date the degree was conferred; Copy of Diploma; or official letter from the Registrar or the Dean of the School or College conferring the degree; and 4 - Letter of Recommendation This position is eligible for medical, dental and life insurance, retirement benefits programs, and is eligible for monthly vacation and sick leave accruals.

Job Category: Faculty

Primary Location: Boulder

Department: B0001 -- Boulder Campus - 10080 - Coop Inst Res/Envrm Sci - Dir

Schedule: Full-time

Posting Date: May 27, 2016

Closing Date: Ongoing

Posting Contact Name: karen dempsey

Posting Contact Email:

Position Number: 00672350