Dr. Jurgen Garbrecht

Jurgen Garbrecht

Areas of Expertise:

  • Identification of climate variations and trends, and assessment of their impacts on hydrologic watershed  system-behavior, soil erosion, and regional water budgets.
  • Identification of drainage characteristics on digital landscape topography, and modeling of surface runoff, flood-wave propagation, and sediment transport.
  • Analyses of rainfall-runoff hydrology in large mixed land use watersheds, sediment yield, and interpretation of flow and sediment records of a changing environment.
  • Adaptation of a synthetic daily weather generator to determine long term impacts of climate change on water resources availability and quality.

Education:

1984    Colorado State University; Civil Engineering (Hydrology and Water Resources); Ph. D.
1981    Colorado State University; Civil Engineering (Hydraulics); M.S.
1977    Swiss Federal Institute of Technology, Zurich; Civil Engineering; Dipl. Ing. ETHZ

Experience:

1996 - Present:    Res. Hydr. Eng., USDA-ARS, Grazinglands Res. Lab., El Reno, OK
1988 - 1996:        Res. Hydr. Eng., USDA-ARS, Nat. Ag. Water Quality Lab., Durant, OK
1986 - 1988:        Res. Hydr. Eng., USDA-ARS, Hydro-Ecosystems Res. Unit, Fort Collins, CO
1985 - 1986:        Assistant Prof., Dep. Civil Eng., Colorado State University, Ft. Collins, CO
1977 - 1978:        Res. Associate, Institute for Road, Railway and Rock Construction
                            Swiss Federal Institute of Technology, ETHZ, Zurich, Switzerland

Accomplishments:

Developed a comprehensive drainage analysis methodology for digital topographies

Developed novel solutions for automated characterization of drainage networks and landscape drainage features from Digital Elevation Models.  The methodologies addressed large basin applications and complex and difficult landscape features for which traditional approaches often failed. The software has been requested by private, commercial, government, consulting and research/university entities.  It has been distributed nationally and internationally, and has been incorporated by third party into government and commercial watershed analysis products.

 

Identified decade-long precipitation variations in the Great Plains and assessed impacts

Analyzed decade-long variations in annual precipitation in the Great Plains and identified several large regions that exhibited a sustained, decade-long wet period at the end of the 20th century. Established the impact of these decade-long variations in precipitation on streamflow trends, reservoir storage, watershed sediment yield, and reservoir sedimentation. This climate information was disseminated on the web by the Oklahoma Climatological Survey, has appeared in local newspaper, and was presented at conferences and generated interest by water resources managers, agricultural producer groups, and state and federal water agencies (specifically US Geological Survey, Oklahoma Wheat Commission, Tulsa Army Corps of Engineers, Oklahoma City Bureau of Reclamation, Oklahoma Water Resources Board).

 

Downscaled seasonal climate forecasts tested for decision support in grazing management

Led the development and application of a methodology to downscale seasonal climate forecasts to farm and daily time scales. The seasonal climate outlooks offer the potential to reduce economic risk and increase profitability of agricultural enterprises, and the long term climate projections support the development of strategic goals in food production and natural resources conservation. The application to a livestock grazing enterprise established that strong forecasts can provide management opportunities that reduce weather-related risk and increase the probability of profit, though strong and relevant forecasts are infrequent in central Oklahoma.  The proof of concept of probabilistic approach used in the application to quantify weather-related uncertainty may also provide a practical and simple approach to integrate weather-related risk into the overall decision process.

 

Synthetic daily weather generation for simulation of agricultural and conservation assessments

This research put forth a synthetic weather generator called SYNTOR that generates daily synthetic precipitation and air temperature for long term climate projections. Synthetic weather is often selected to determine the vulnerability of soil and water resources to climate change and to develop decision support information for effective soil and water conservation strategies that increase the capacity of agricultural landscape to resist and recover from detrimental impacts of anticipated climate change. Overall, the synthetic weather generator demonstrated good ability to generate daily precipitation and air temperature sequences that sum up properly to historical and forecast conditions, and estimate the impacts of projected climate change on regional water availability and quality, across diverse physiographic regions in the United States.

 

Title/Position
Research Hydraulic Engineer
Phone Number
4052625291