|From||Roger Brugge <email@example.com>|
|Date||Mon, 24 Apr 2006 09:35:26 +0100|
The University Corporation for Atmospheric Research is seeking a postdoctoral level scientist to
work with a group of scientists in a team environment at the Hydrology Laboratory of the NOAA/National Weather Service/Office of Hydrologic Development. Located in Silver Spring, MD, HL (http://www.nws.noaa.gov/oh/hrl/) is a national center for hydrologic sciences and operations support for NOAA/NWS hydrologic services. The scientist will work as a member of the Hydrologic Ensemble Prediction Group of the Hydrologic Science and Modeling Branch of HL in the areas of hydrologic ensemble prediction and data assimilation. The group is engaged in developing and infusing into operations innovative science and modeling capabilities for reliable and skillful hydrologic ensemble prediction across scale for water resources applications, water-related hazard mitigation and other water-related environmental applications in support of the NOAA/NWS mission and services.
Qualifications: Applicants should have a PhD in physical or natural science, or engineering, with an emphasis in hydrology.
The specific areas of research and development priorities include, but not limited to:
- Mathematical assimilation (including variational and ensemble) of hydrologic (including streamflow, soil moisture and snow information) and hydrometeorological (including precipitation, temperature and evaporation) data (in-situ and remote sensing) into hydrologic and hydraulics models (lumped and distributed)
- Identification, assessment, quantification and modeling of hydrologic uncertainties (including parametric and structural) in hydrologic and hydraulics models (lumped and distributed) and in sources (e.g. return flow), sinks (e.g. consumptive use) and storages (e.g. reservoirs) that are usually not accounted for by the above models
- Assimilation, via statistical post- or pre-processing, downscaling, blending across-scale, multi-model ensemble, etc., of long-, medium- and short-range predictions (both single-value and ensemble) of hydrometeorological variables (including precipitation and temperature) into hydrologic models
- Verification of probabilistic and single-value hydrologic and hydrometeorological forecasts across scale
Hydrologic ensemble prediction and mathematical data assimilation (DA) are relatively new areas in operational hydrology, and there are a number of significant challenges in development and infusion of science and technology solutions that are scientifically sound, operationally viable and cost-effective. This position offers a rare opportunity for creative thinkers to help innovate operational hydrologic forecasting through ensemble prediction and DA. This position also offers numerous opportunities to interact and develop collaborations with scientists in the Hydrology, Hydrometeorology and Hydraulics Groups of HL, collaborating universities, the River Forecast Centers (RFC), the National Centers for Environmental Prediction (NCEP), and NOAA laboratories.
The selected candidate will receive a fixed annual salary. Benefits include health and dental insurance, sick and annual leave, paid holidays, mandatory participation in a retirement fund (TIAA/CREF), and life insurance. Some funds are provided for scientific travel and other support costs.
The application review process will begin on 1 June 2006. Applications will be accepted until 15 July 2006.
To apply, send the following materials to: UCAR Visiting Scientist Programs: - A cover letter identifying this position - Curriculum Vitae with a list of publications, technical reports and professional presentations - Names and addresses of three professional references (applicants should request letters be sent to UCAR/VSP as soon as possible) - Ph.D. thesis title(s) and abstract(s) - One to two page statement of experience and interests as related to goals of this position
UCAR/Visiting Scientist Programs P.O. Box 3000, Boulder, CO 80307-3000 USA
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