Francisco Muñoz-Arriola

Francisco Muñoz-Arriola

Associate Professor of Hydroinformatics and Integrated Hydrology
Academic Degrees
  • Ph.D., Civil and Environmental Engineering, Duke University
  • M.S., Coastal Oceanography, Universidad Autónoma de Baja California
  • B.S., Oceanography, Universidad Autónoma de Baja California
Appointment
  • 60% Research
  • 40% Teaching
Areas of Research and Professional Interest
  • Data science
  • Integrated hydrology (water quality, quantity, and ecosystem resilience)
  • Surface water and groundwater conjunctive use, interactions, and integration
  • Coupled natural-human systems
  • Complex systems
  • Predictability of hydrometeorological and climate extremes
  • Climate-resilient infrastructure
  • Phenotype predictability
Teaching Interests
  • Predictability of Hydrometeorological and Climate Extremes
  • Complex Systems Modeling
  • Attribution Science and Decision Making
  • Design and Management of Resilient Water Infrastructure
Courses Taught
  • Soil and Water Resources Engineering
  • Hydroclimatology
  • Small Watershed Hydrologic Modeling
  • Physical Hydrology
  • Seminar I
  • Statistics of Extreme Events in Water Resources
Honors and Awards
  • University of Nebraska Public Policy Faculty Fellow
  • Robert B. Daugherty Water for Food Institute Faculty Fellow
  • National Science Foundation-Enabling the Next Generation of Hazards and Disasters Researchers
  • American Meteorological Society/National Science Foundation-Summer Policy Colloquium

Selected Publications
  • Amaranto, A., F. Pianosi, D. Solomatine, G. Corzo-Perez, and F. Munoz-Arriola (2020). Sensitivity Analysis of Hydroclimatic Controls of Data-driven Groundwater Forecast in Irrigated Croplands. Journal of Hydrologyhttps://doi.org/10.1016/j.jhydrol.2020.124957
  • Ashish Kumar, RAAJ Ramsankaran, Luca Brocca, Francisco Munoz-Arriola (2019). Machine learning approach for improving near-real-time satellite-based rainfall estimates by integrating soil moisture. Remote Sensing. doi:10.3390/rs11192221
  • Amaranto, A., F. Munoz-Arriola, D. Solomatine, and G. Corzo (2019)A Spatially enhanced data-driven multi-model to improve semi-seasonal groundwater forecasts in the High Plains aquifer, USA.Water Resources Research.
  • Khan, M., F. Munoz-Arriola, R. Shaik, and P. Greer(2019). Spatial heterogeneity of temporal shifts in extreme precipitation across India. Journal of Climate Change. DOI: 10.3233/JCC190003.

  • Ou, G., F. Munoz-Arriola, D. Uden, D. Martin and C. Allen (2018). Groundwater Availability in a Changing Climate: The case of Irrigated Landscapes in Geopolitically Contentious Areas. Climatic Change.

  • Amaranto, A., F. Munoz-Arriola, G. Meyer, D. Solomatine, and G. Corzo (2018). Semi-seasonalPredictability of Water-table Changes Using Machine Learning Methods in Response to Integrated Hydroclimatic and Management Controls. Journal of Hydroinformatics.

  • Uden, D.R., C.R. Allen, F. Munoz-Arriola, G. Ou, and N. Shank (2018). A Framework for Tracing Social–Ecological Trajectories and Traps in Intensive Agricultural Landscapes. Sustainability..

  • Rudnick, D.R., T. Lo, J. Singh1, R. Werle, F. Muñoz-Arriola,  T.M. Shaver, C.A. Burr, and T.J. Dorr (2018). Reply to comments on "Performance assessment of factory and field calibrations for electromagnetic sensors in a loam soil". 203:272-276. DOI:10.1016/j.agwat.2018.02.036.
  • Singh1, J., T. Lo, D.R. Rudnick, T.J. Dorr, C.A. Burr, R. Werle, T.M. Shaver, and F. Muñoz-Arriola (2018). Performance Assessment of Factory and Field Calibrations for Electromagnetic Sensors in a Loam Soil. Agricultural Water Management.196: 87-98.

  • Lawrence-Dill, C.J., Patrick Schnable, Nathan Springer, and: Natalia de Leon, Jode Edwards, David Ertl, Shawn Kaeppler, Nick Lauter, John McKay, Francisco Munoz-Arriola, Seth Murray, Duke Pauli, Nathalia Penna Cruzato, Colby Ratcliff, James Schnable, Kevin Silverstein, Edgar P. Spalding, Addie Thompson, Ruth Wagner, Jason Wallace, Justin Walley, and Jianming Yu (2018). White paper: High Throughput, Field-Based Phenotyping Technologies for the Genomes to Fields (G2F) Initiative. 2018 NIFA FACT Workshop. January 28-30, 2018, 8 pp.
  • Das, A., F. Munoz-Arriola, S. Singh, and M. Kumar3(2017).Nutrient Dynamics of Brahmaputra (Tropical River) during Monsoon Period. Desalinization and Water Treatment.doi:10.5004/dwt.2017.20788.

  • Shekhar, S., J. Colleti, F. Munoz-Arriola, L. Ramaswamy, C. Krinz, L. Varshney, D. Richardson (2017). Intelligent Infrastructure for Smart Agriculture: An Integrated Food, Energy and Water System. eprint arXiv:1705.01993. 2017arXiv170501993S. A Computing Community Consortium (CCC) white paper, 8 pp. 

  • Avery, W.A., C. Finkenbiner, T. E. Franz, T. Wang, A. L. Nguy-Robertson, A. Suyker, and T. Arkebauer, and F. Munoz-Arriola (2016).Incorporation of globally available datasets into the roving cosmic-ray neutron probe method for estimating field-scale soil water content. Hydrol. Earth Syst. Sci., 20, 3859–3872.

  • Livneh, B., T. Bohn, D. Pierce, F. Munoz-Arriola, B. Nijssen, R. Vose, D. Cayan, and L. Brekke (2015). A spatially comprehensive, hydrometeorological data set for Mexico, the U.S., and southern Canada 1950-2013. Nature - Scientific Data, doi:10.1038/sdata.2015.42.
  • Munoz-Arriola, F., D. Martin, and D. Eisenhauer (2014). Nebraska’s Water Resources in Changing Climate. In: Understanding and Assessing Climate Change: Implications for Nebraska.
  • Perez-Morga, N., T. Kretzshmar, T. Cavazos, S. Smith, and F. Munoz-Arriola (2013).Variability of Extreme Precipitation in coastal River Basins of the Southern Mexican Pacific Region. Geofisica Internacional. 52(3): 277-291.
  • Frans, C., E. Istanbulluoglu, M. Vimal, F. Munoz-Arriola, and D.P. Lettenmaier (2013). On runoff trends in the Upper Mississippi River Basin: influences of climate and land use. Geophysical Research Letters. 40, doi:10.1002 /grl.50262, 2013.
  • Tang, Q., E. Vivoni, F. Munoz-Arriola, and D. P. Lettenmaier (2012). Predictability of evapotranspiration patterns using remotely-sensed vegetation dynamics during the North American monsoon. Journal of Hydrometeorology, 13(1), 103-121.
  • Preisler, H. K., A. L. Westerling, K. M. Gebert, F. Munoz-Arriolaand T. P. Holmes (2011). Spatially Explicit Forecasts of Large Fire Probability and Suppression Costs for California Federal and State Lands. International Journal of Wildland Fire, 20(4), 508-517.

  • Muñoz Arriola, F. J. H. Salgado Rabadán, H. M. Rocchiccioli, S. Shukla, A. Güitrón De los Reyes, y R. Lobato Sánchez (2011). Surface Hydrology in the Grijalva River Basin: Calibration of the Variable Infiltration Capacity Model. Aqua-LAC, 3(1), 68-79.

  • Shefield, J.,  E. Wood, and F. Munoz-Arriola (2010). Long-term regional estimates of evapotranspiration for Mexico based on downscaled ISCCP data. Journal of Hydrometeorology, 11(2), 253-275.

  • Munoz-Arriola, F. D.P. Lettenmaier, C. Zhu, and R. Avissar (2009)Water resources sensitivity of the Rio Yaqui Basin, México to agriculture extensification under multi-scale climate conditions. Water Resources Research, 45, W00A20, doi:10.1029/2007WR006783.

  • Munoz-Arriola, F., Shraddhanand Shukla, Theodore J. Bohn, Chunmei Zhu, Ben Livneh, Dennis P. Lettenmaier, René Lobato Sánchez, and Ana Wagner Gomez (2009). Forecasting Surface Hydrology in North America. Border Climate Summary, July 2009: 1-5.

  • Munoz-Arriola, F., D. P. Lettenmaier, C. Zhu, A. W. Wood, R. Lobato Sánchez, and A. Wagner Gomes (2008)Extended West-wide Seasonal Hydrological System: Seasonal Hydrological Prediction in the NAMS region. CLIVAR Exchanges, 43: 24-25.

  • Muñoz Arriola, F., J. D. Carriquiry-Beltran, E. Nieto-Garcia, and M. Hernandez-Ayon (1999). Colorado River Delta, In: Mexican and Central American Coastal Lagoon Systems: Carbon, Nitrogen and Phosphorus Fluxes. S.V. Smith. LOICZ Reports and Studies No. 13, pp 59-69

CHAPTERS

  • Shaik3 R., F. Munoz-Arriola, D. A. Rico1, and S. L. Bartelt-Hunt (2019). Modelling Water Temperature’s Sensitivity to Atmospheric Warming and River Flow. In Environmental Biotechnology: for sustainable future (Eds. R. B. Sobti, N. Arora, and R. Kothari) ISBN 978-981-10-7283-3.

  • Lawrence-Dill, C.J., Patrick Schnable, Nathan Springer, and: Natalia de Leon, Jode Edwards, David Ertl, Shawn Kaeppler, Nick Lauter, John McKay, Francisco Munoz-Arriola, Seth Murray, Duke Pauli, Nathalia Penna Cruzato, Colby Ratcliff, James Schnable, Kevin Silverstein, Edgar P. Spalding, Addie Thompson, Ruth Wagner, Jason Wallace, Justin Walley, and Jianming Yu (2018). White paper: High Throughput, Field-Based Phenotyping Technologies for the Genomes to Fields (G2F) Initiative. 2018 NIFA FACT Workshop. January 28-30, 2018, 8 pp.

  • Shekhar, S., J. Colleti, F. Munoz-Arriola, L. Ramaswamy, C. Krinz, L. Varshney, D. Richardson (2017). Intelligent Infrastructure for Smart Agriculture: An Integrated Food, Energy and Water System. eprint arXiv:1705.01993. 2017arXiv170501993S. A Computing Community Consortium (CCC) white paper, 8 pp. 

  • Munoz-Arriola, F. D. Martin, and D. Eisenhauer (2014). Nebraska’s Water Resources in Changing Climate. In: Understanding and Assessing Climate Change: Implications for Nebraska.

  • Wilder, M., G. Garfin, P.Ganster, H. Eakin, P. Romero-Lankao, F. Lara-Valencia, A. Cortez-Lara, S. Mumme, C. Neri, and F. Munoz-Arriola (2013). Impacts of Future Climate Change in the Southwest on Border Communities. In: National Climate Assessment Southwest.

  • Muñoz Orozco, A. and F Muñoz Arriola (2010). Water, Climate, and Agro-ecological Systems: Past, Present, and Challenges. In: Lectures in Etnobotany. Ed. J.A. Cuevas Sanchez. (In Spanish). 

PROCEEDINGS

  • Banda, M. M., D. M. Heeren, D. L. Martin, F. Munoz-Arriola, and L. G. Hayde. 2019. Economic analysis of deficit irrigation in sugarcane farming: Nchalo Estate, Chikwawa District, Malawi. ASABE Annual International Meeting, Paper No. 1900852, Boston, Mass. 19 pages. 

  • Korus, J.T., K. Cameron, C.M. Hobza, N-P.Jensen, D. A. Rico, and F. Munoz-Arriola (2018). Integrating AEM and borehole data for regional hydrogeologic synthesis: tools and examples from Nebraska, USA. AEM 2018/7th International Workshop on Airborne Electromagnetics. June 20 2018, Fjordvej, Denmark.

  • Munoz-Arriola, R. Shaik4, and M. Kahn2 (2017). Toward a Food-Energy-Water-Ecosystem Services Nexus for Rapid Growing Cities in a Changing Climate. International Symposium on Sustainable Urban Environment (ISSUE 2017). Tezpur University, Assam, 23-24 June 2017. 5pp..

TO SUBMITTED AND IN REVIEW

  • Pandey, V., P. K. Srivastava, R. K. Mall, F. Munoz-Arriola, D. Han. Evaluation of the Multi-Satellite Precipitation Products for Meteorological Drought Assessment and Forecasting in Central India. (Submitted to Water Management)

  • Carrillo-Cruz, C. M. and F. Munoz-Arriola. Sources of semi seasonal-to-seasonal predictability of rainfall in cross-scale hydroclimatic patterns in the Northern High Plains. (To be resubmitted to Journal of Applied Climate and Meteorology).

  • Reed, C., F. Munoz-Arriola, N. Shank, T. Abdel-Monem, and A. Amaranto1Water-system changes in response to policy and environmental changes. (To be re-submitted to Water Resources Research).

  • Alves de Oliveira, L., F. Munoz-Arriola, D. Martin, and C. Allen. Crafting an irrigation sustainability framework in the Northern High Plains (USA) using stakeholders’ opinions (Invited Journal of Science of the Total Environment in May 2020).

  • Munoz-Arriola, F. K. Werner, F.  D. Rico, D. Rudnick, J.C. Chacon, A. A. Swamy, and G. Corzo. Large-scale Resilient Agroecosystems after the Effect of Dry and Wet Spells (Invited to be submitted to the Journal of Science of the Total Environment in May 2020).

  • Jaimes-Correa, F. Munoz-Arriola, and J.C., S. Bartelt-Hunt. Emergent contaminants in streamflows and their response to Extreme Hydrometeorological and Climate Events in an Intensive Agricultural Watershed.

  • Lopez-Morteo, G.A. and F. Munoz-Arriola. How to introduce data science training in Biological Systems and Agriculture Engineering Majors: A conceptual Framework. (to be submitted to Computers & Education in December of 2019).