[ES_JOBS_NET] Postdoc to support land surface data assimilation

[Jifu Yin]

*Department: *UMD/ESSIC/CISESS

*Starting Salary: *Commensurate with experience

*Closing Date: *Open until filled

*Duties: *ESSIC and the Cooperative Institute for Satellite Earth System
Studies (CISESS) of the University of Maryland, College Park is recurring a
data assimilation scientist to support land surface data assimilation
research. Satellite land surface observations including but not limited to
soil moisture, vegetation index, land surface temperature,
evapotranspiration and Snow Water Equivalent (SWE) data products have been
operationally produced and will be generated in the future. Given the Joint
Effort for Data assimilation Integration (JEDI) was developed to unify
community Data Assimilation (DA) system for research and operations, this
project is proposed to improve the accuracy of Unified Forecast System
(UFS) forecast through assimilating the primary satellite land surface data
products.

*Primary Duties:*

·         Test JEDI system in order to apply the satellite land surface
observations;

·         Conduct JEDI-based soil moisture DA, snow cover/SWE DA, and other
land surface data assimilation;

·         Implementation of a proper DA algorithm for Noah-MP land surface
model of UFS within preoperational/operational JEDI environment;

·         Assimilation of the primary satellite land surface observations
into the UFS via the JEDI system;

·         Benefit analyses of data assimilation with respect to the surface
air temperature and precipitation observations.



*Qualifications:*

   - A Ph.D. in Earth science discipline (e.g., geoscience, atmospheric
   science), applied mathematics, physics, scientific computing /
   computational science, computer science, or a related field.
   - Working knowledge of programming languages such as Fortran and/or
   Python
   - Ability to work independently and in a collaborative team environment
   - Strong communication skills, both written and verbal in English
   - An excellent record of disseminating scientific findings in
   peer-reviewed journals and/or professional meetings

 *Preferred Qualifications:*

   - Familiarity with Linux system
   - Familiarity with common data formats, such as NetCDF, HDF5
   - Experience with land surface data assimilation is highly desirable
   - Familiarity with NOAA’s operational data assimilation software (e.g.,
   GSI)
   - Familiarity with Numerical Weather Prediction (NWP) models
   - Experience manipulating large volumes of data
   - Experience running NWP models in a high-performance computing
   environment
   - Experience plotting NWP weather forecast model output
   - Experience evaluating NWP weather forecast model skills using
   statistical verification techniques
   - Background knowledge of atmospheric physics and dynamic meteorology is
   an advantage
   - Background knowledge of extreme events, such as drought and flood, is
   an advantage

*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 Dr. Jifu Yin at jyin at umd.edu.

*THE UNIVERSITY OF MARYLAND IS AN EQUAL OPPORTUNITY AFFIRMATIVE ACTION
EMPLOYER*


-----------------------------------------
Jifu Yin, Ph D
Associate Research Scientist
Visiting Scientist at NOAA-NESDIS-STAR
ESSIC Cooperative Institute for Satellite Earth System Studies (CISESS),
University of Maryland
5825 University Research Court
College Park, MD 20742
Phone: 301-683-3558
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