Gui Baigorria

Gui Baigorria

  • Contact Information
  • My Story
  • Publications & Presentations
  • Background
  • Interests
  • Grants
  • Advising
  • Courses Taught
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Title Crop Simulation Modeler
Address 823 Hardin Hall
3310 Holdrege Street
Lincoln NE
68583-0968
Phone 402-472-8727
FAX 402-472-2946
E-mail gbaigorria2@unl.edu
Vitae Download file

The focus of my research is to help agricultural-related decision makers increase the efficiency of using climate information, through the development and/or improvement of user-friendly, scientifically robust decision support tools. To accomplish this, I work on

  1. developing a better understanding of crop response to climate variability and change under rainfed and irrigated conditions;
  2. optimizing management practices for a given crop location and irrigation system, using crop models, weather/seasonal-climate forecasts, and climate projections;
  3. developing/improving crop models and decision support toolkits for improving crop production;
  4. developing methods to link and couple climate and crop models to improve stakeholder's decision making.

To perform these tasks, I use integrated system approaches - combining field research with simulation modeling and validation - to ensure the widest possible extrapolation of results.

Advanced information technologies such as dynamic, statistic and stochastic computer simulation models, decision support systems, and GIS are critical components of my program. Current projects I'm developing under my national and international programs include:

  1. development of CropClimate*,
  2. looking for climate change adaptation in agriculture from local through regional and to global scales,
  3. development of stochastic downscaling methods for applications on climate variability, climate change and filling missing values.

Currently, I have specific projects within the United States at Nebraska, Florida, Alabama, and Georgia. CropClimate runs for all the U. S. territories at the sub-county level. My international program currently involves: India, Nepal, Bangladesh and Peru. I'm looking of increasing my research to Brazil, Mexico, and Ethiopia (proposals pending), as well as trying to incorporate other countries in Africa and Asia.

* CropClimate is an initiative from the University of Nebraska-Lincoln that will produce climate-related, useful information for agricultural decision makers within the U.S. at scales finer than the county level, and is expected to be released in the next few months. CropClimate uses state-of-the-art knowledge in climate, soil, and crop-modeling to link the effects of environmental conditions and management (i.e. irrigation, fertilization) in the growth and the development of crops. Based on this climatic and agronomic information; farmers, lenders, agrochemical companies, and others can tailor their management and services according to the forthcoming seasonal climate forecast. A huge component of CropClimate is our extension team, who translates and transfers the cutting edge scientific knowledge in terms that users can benefit from. CropClimate is based on dynamic crop modeling that represents our current understanding of plant biology and its interactions with the environment at plant and plot scales. Supported by our detailed climate and soil databases and its modeling team, CropClimate explores crop modeling capabilities to improve field management of food, fiber and fuel crops for more sustainable production systems.

Selected Publications

Nam, W., Hong, E.-M., Baigorria, G. 2016. How climate change has affected the spatio-temporal patterns of precipitation and temperature at various time scales in North Korea. International Journal of Climatology. 36(2):722-734. Online
van Bussel, L. G.J., Ewert, F., Zhao, G., Hoffmann, H., Enders, A., Wallach, D., Asseng, S., Baigorria, G., Basso, B., Biernath, C., Cammarano, D., Chryssanthacopoulos, J., Constantin, J., Elliott, J., Glotter, M., Heinlein, F., Kersebaum, K.-C., Klein, C., Nendel, C., Priesack, E., Raynal, H., Romero, C. C., Rötter, R. P., Specka, X., Tao, F. 2016. Spatial sampling of weather data for regional crop yield simulations. Agricultural and Forest Meteorology, 220:101-115. Online
Nam, W., Baigorria, G. (2015). Analyzing changes to the spatial structures of precipitation and temperature under different ENSO phases in the Southeast and Midwest United States. Meteorological Applications, 22(4), 797-805. Online
Baigorria, G. (2014). Stochastic models to generate geospatial-, temporal-, and cross-correlated daily maximum and minimum temperatures. Advances in Meteorology(Article ID 365362), 14. http://www.hindawi.com/journals/amete/aip/365362/
Dzotsi, K. A., Matyas, C. J., Jones, J. W., Baigorria, G., Hoogenboom, G. (2014). Understanding high resolution space-time variability of rainfall in southwest Georgia, United States. International Journal of Climatology, 34, 3188-3203. http://onlinelibrary.wiley.com/doi/10.1002/joc.3904/pdf Online
Oh, J.-H., Shin, D. W., Cocke, S. D., Baigorria, G. (2014). ENSO teleconnection pattern changes over the southeastern United States in CMIP5 models. Advances in Meteorology, 2014(Article ID 648197), 16. http://www.hindawi.com/journals/amete/2014/648197/
Ruane, A. C., McDermid, S. P., Rosenzweig, C., Baigorria, G., Jones, J. W., Romero, C., Cecil, L. D. (2014). Carbon-Temperature-Water change analysis for peanut production under climate change: a prototype for the AgMIP Coordinated Climate-Crop Modeling Project (C3MP). Global Change Biology. 20, 394-407. Online
Rosenzweig, C., Jones, J. W., Hatfield, J., Ruane, A. C., Boote, K. J., Thorburn, P., Antle, J. M., Nelson, G. C., Porter, C., Janssen, S., Asseng, S., Basso, B., Ewert, F., Wallach, D., Baigorria, G., Winter, J. M. (2013). The Agricultural Model Intercomparison and Improvement Project (AgMIP): Protocols and pilot studies. Agricultural and Forest Meteorology, 170, 166-182. http://www.sciencedirect.com/science/article/pii/S0168192312002857 Online
Romero, C.C., Hoogenboom, G., Baigorria, G.A., Koo, J., Gijsman, A., and Wood, S. 2012. Reanalysis of the global soil database for crop and environmental modeling. Environmental Modelling & Software 35:163-170. Online
Shin, D.-W., Baigorria, G. (2012). Potential influence of land development patterns on regional climate: a summer case study in the Central Florida. Natural Hazards, 62, 877-885.
Baigorria, G.A. and Romero, C.C. 2007. Assessment of erosion hotspots in a watershed; integrating the WEPP model and GIS in a case study in the Peruvian Andes. Environmental Modeling and Software 22(8):1175-1183. Online
Romero, C.C., Baigorria, G.A., and Stroosnijder, L. 2007. Changes of erosive rainfall for El Nino and La Nina years in the northern Andean Highlands of Peru. Climatic Change 85(3-4):343-356.
Romero, C.C., Stroosnijder, L. and Baigorria, G.A. 2007. Interrill and rill erodibility in the northern Andean Highlands. Catena 70(2):105-113. Online
Fraisse, C.W., G. Baigorria, T.B. Pathak. 2006. Spatial analysis of freeze events in Florida. Proc. Florida State Hort. 119:94-99 Online

SNR Mission Area(s)

  • Applied Climate and Spatial Science

Affiliations (index)

Notable Websites

Areas of Interest

  • Climate
  • Crop Modeling
  • Meteorology
  • Microclimate
  • Agricultural and Livestock
  • Agroecosystems
  • Weather
  • Land use/land cover
  • Water
  • Geospatial Applications
  • Global Circulation Model
  • Plant Ecophysiology
  • Soils
  • Geospatial Applications

Currently this page only displays grants that were awarded on 1/1/2009 to the present. If a grant was awarded prior to 1/1/2009 and is still active, it will not be displayed on this page.

Grant Title Predicting Climate Extreme GHA (additional funding)
Starting Date 12/2/2015
Principal Investigators
Tsegaye Tadesse
Co-PIs
Gui Baigorria
Mike Hayes
Brian Wardlow
Ending Date 1/13/2017
Funding Level $277,065.00
Funding Source National Aeronautics and Space Administration

 
Grant Title Agricultural Model Intercomparison and Improvement Project (AgMIP): Indo-Gangetic Basin
Starting Date 3/1/2015
Principal Investigators
Gui Baigorria
Ending Date 2/28/2017
Funding Level $44,000.00
Funding Source Interntational Crops Research Institute for Semi-Arid Tropics

 
Grant Title Seasonal Prediction of Hydro-Climatic Extremes in the Greater Horn of Africa under Evolving Climate Conditions to Support Adaptation Strategies (additional funds)
Starting Date 1/14/2014
Principal Investigators
Tsegaye Tadesse
Co-PIs
Gui Baigorria
Shimelis Beyene
Mike Hayes
Brian Wardlow
Ending Date 1/13/2017
Funding Level $343,462.00
Funding Source National Aeronautics and Space Administration

 
Grant Title Predicting Climate Extreme GHA
Starting Date 11/1/2013
Principal Investigators
Tsegaye Tadesse
Co-PIs
Gui Baigorria
Shimelis Beyene
Mike Hayes
Brian Wardlow
Ending Date 10/31/2016
Funding Level $987,767.00
Funding Source National Aeronautics and Space Administration

 
Grant Title Development of a Catastrophic Insurance Index for Quinoa Producers in Puno-Peru
Starting Date 4/1/2013
Principal Investigators
Gui Baigorria
Ending Date 4/20/2013
Funding Level $3,620.00
Funding Source La Positiva Seguros y Reaseguros

 
Grant Title Future Crop Yield Projections (additional funding)
Starting Date 10/1/2012
Principal Investigators
Gui Baigorria
Ending Date 3/14/2014
Funding Level $80,000.00
Funding Source Florida State University

 
Grant Title Agricultural Model Intercomparison and Improvement Project (AgMIP): Indo-Gangetic Basin
Starting Date 3/1/2012
Principal Investigators
Gui Baigorria
Ending Date 3/15/2014
Funding Level $41,798.00
Funding Source Columbia University

 
Grant Title Integration of NASA Models and Missions into Agricultural Decision Support
Starting Date 1/1/2012
Principal Investigators
Gui Baigorria
Ending Date 9/1/2013
Funding Level $76,943.00
Funding Source University of Florida

 
Grant Title Optimizing Future Crop Yield Projections Using Weighted Multi-Model Ensemble Approaches: A New Framework for an Integrated Climate Application System
Starting Date 10/1/2012
Principal Investigators
Gui Baigorria
Ending Date 3/14/2013
Funding Level $80,000.00
Funding Source Florida State University

 

Graduate Program(s)

Master of Science in Natural Resource Sciences


including specializations in
  • Bio-Atmospheric Interactions
  • Climate Assessment & Impacts

Doctor of Philosophy in Natural Resource Sciences


including specializations in
  • Bio-Atmospheric Interactions
  • Climate Assessment & Impacts