University Corporation for Atmospheric Research Postdoctoral Fellow I-Ensemble Meteorological Dataset Development in Boulder, Colorado
Postdoctoral Fellow I-Ensemble Meteorological Dataset Development
Job Title: Post-Doctoral Fellow I - Ensemble Meteorological Dataset Development
Location: Boulder, Colorado
Position Term: 1-year term, with possibility of extension
No relocation assistance is offered for this position.
UCAR/NCAR will sponsor a work visa to fill this position.
Where You Will Work:
Located in Boulder, Colorado, the National Center for Atmospheric Research (NCAR) is one of the world’s premier scientific institutions, with an internationally recognized staff and research program dedicated to advancing knowledge, providing community-based resources, and building human capacity in the atmospheric and related sciences. NCAR is sponsored by the National Science Foundation (NSF) and managed by the University Corporation for Atmospheric Research (UCAR).
What You Will Do:
The new hire will perform applied research focusing on the development of gridded ensemble multi-sensor analysis datasets (long-term retrospective and real-time analyses) for use in a broad range of hydrometeorological modeling applications. NCAR has created unique ensemble gridded, decades-long and real-time daily meteorological (precipitation and temperature) analyses for the continental US, Alaska and Hawaii, using in situ station observations from a variety of networks. The post-doc will enhance this project through the application of statistical techniques to fuse satellite and atmospheric model-based surface meteorological fields (e.g., from NWP or WRF) into the ensemble products, and to develop and test new methods for application to existing gridded, multivariate meteorological products (such as NLDAS). The work will leverage and enhance a recently developed NCAR software, the Gridded Meteorological Ensemble Tool (GMET), and support a wide range of applications including climate change analysis and hydrological modeling and prediction. The position is within the Hydrometeorological Applications Program of the NCAR Research Applications Laboratory. The work includes potential linkages to similar efforts with a North American and global extent, and to collaborating partners at other institutions in the US and Canada.
Upgrade GMET and associated ensemble forcing products to incorporate gridded meteorological fields, and develop techniques to apply GMET’s spatial regression approaches to estimate uncertainty in existing gridded datasets. The effort in involves statistical method development, code development (GMET is written in FORTRAN), application to generate large-domain, meteorological analysis (forcing) datasets for the community, using high performance computing resources such as CISL’s Cheyenne and Casper clusters, and diagnostic evaluation of the datasets.
Communicate research results to stakeholders, sponsors and the community through publication in peer-reviewed journals, meeting proceedings, and presentations at scientific meetings. Assist in the preparation of project reporting materials and responses to opportunities for related research funding.
What You Need:
Education and Years of Experience:
Ph.D. degree in atmospheric, meteorological or hydrological sciences, or a relevant discipline (e.g., geospatial statistics)
Demonstrated record of research and publication
Knowledge, Skills, and Abilities:
In-depth knowledge of surface meteorological analyses, NWP and mesoscale model outputs, and/or distributed hydrologic modeling.
Skill in developing, implementing and analyzing statistical techniques related to meteorological variables.
Ability to conduct graphical and statistical analyses of multi-dimensional datasets (time, space, variable, ensemble).
Ability to establish and maintain a nationally recognized publication record.
Ability to participate in and interact productively with hydrometeorological analysis and prediction groups, statisticians and scientists at NCAR and among the hydrometeorological modeling and prediction community.
Strong skills in written and oral communication of research results, including in an interdisciplinary context.
Desired Knowledge, Skills, and Abilities:
Desired technical/computational skills:
Strong competence with data, program and file management in UNIX/Linux
Strong competence in FORTRAN
Demonstrated skill in working with large and heterogeneous datasets
Demonstrated skill in managing large computationally intensive model simulations
Competence with analysis and scripting in R, Python and UNIX/Linux shell
Familiarity with GIS or GIS-equivalent (e.g., gdal/ogr)
Familiarity with code sharing environments such as Github.
Familiarity with super-computing environments (e.g., computing clusters).
What’s in it for You:
Benefits (Medical, Dental, Vision)
The University Corporation for Atmospheric Research (UCAR) is an equal opportunity/equal access/affirmative action employer that strives to develop and maintain a diverse workforce. UCAR is committed to providing equal opportunity for all employees and applicants for employment and does not discriminate on the basis of race, age, creed, color, religion, national origin or ancestry, sex, gender, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or pregnancy.
Whatever your intersection of identities, you are welcome at the University Corporation for Atmospheric Research (UCAR). We are committed to inclusivity and promoting an equitable environment that values and respects the uniqueness of all members of our organization.
Boulder, Colorado, United States
Term Full-Time (T1)