Post-Doctoral Fellow I – Modeling hydrologic influence of agriculture management
What You Will Do:
This is a new, full-time, 2-year term position. The new hire will conduct research on enhancing the prediction capabilities of the National Water Model (NWM) by establishing a modeling framework to represent the hydrologic influence of agriculture management processes in the NWM. This research will involve the incorporation of new modules of crop-growth, irrigation, and tile-drainage, and the enhanced use of satellite data. The new hire will conduct multi-year NWM reforecasts in a “near-operational” environment and using the Office of Water Prediction (OWP) evaluation metrics to assess the performance of the new crop-modeling options in NWM against current operational NWM prediction capability; will focus on understanding the interplay among crop growth, irrigation, runoff, soil moisture, and streamflow, and on the merits of adding and optimizing agriculture management capabilities in NWM.
Conduct research aimed at improving NWM prediction capabilities and understanding of the interplay among crop growth, irrigation, runoff, soil moisture, and streamflow in the context of national water forecasts. The work will include:
— implement the Noah-MP crop-growth model, irrigation, and tile-drainage in NWM;
— implement agriculture management data in NWM data input;
— conduct multi-year NWM reforecasts in a “near-operational” environment with new agriculture management modeling components in NWM;
— benchmark performance of the new modeling capabilities using the Office of Water Prediction (OWP) evaluation metrics;
— optimize the new modeling capabilities in NWM.
Communicate research results through publication in peer-reviewed journals, meeting proceedings, and presentations at scientific meetings.
Participate in research development with internal and external collaborators across disciplines.
What You Need:
Education and Years of Experience:
- Ph.D. degree in atmospheric sciences or hydrology with expertise in land-surface and hydrology modeling and physical parameterization studies.
Knowledge, Skills, and Abilities:
- Demonstrated skill in conducting and analyzing land-surface and hydrology prediction model simulations, particularly evaluation of simulated water cycle components against observations.
- Demonstrated skill in quantifying model uncertainty and parameter optimization.
- In-depth knowledge of issues surrounding land-surface and hydrology processes and modeling.
- Ability to develop or modify land/hydrology parameterization schemes in a version control environment; conduct and manage large simulations.
- Demonstrated ability to publish research results in peer-reviewed journals.
- Ability to effectively participate in and interact productively with model developers at NCAR and in the external numerical weather and water prediction community.
- Strong skills in written and oral communication of research results, including in an interdisciplinary context.
- Familiarity with Linux or UNIX, Fortran, NetCDF, Git or other version control, and Python/R/NCL or other data visualization and management languages.
What’s in it for You:
- Paid Holidays
- Tuition Reimbursement
- Benefits (Medical, Dental, Vision)
- Retirement Plan
- And more!
To apply for this job please visit ucar.silkroad.com.