Francisco Muñoz-Arriola

Associate Professor of Hydroinformatics and Integrated Hydroclimate

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


  • 60% Research
  • 40% Teaching

Curriculum Vitae (CV):


Areas of Research and Professional Interest

  • Data science
  • Climate Action
  • Climate Analytics, Analysis, and Synthesis for Action
  • Integrated hydrology (water quality, quantity, and ecosystem resilience)
  • Surface water and groundwater conjunctive use, interactions, and integration
  • Remote and proximal sensing applications
  • 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

Research Profiles:

Courses Taught

Research Group's News

Call for papers!

Special issue in IWA's AQUA - Water Infrastructure, Ecosystems and Society


Climate change has triggered the addition of non-stationary features into hydroclimatic datasets, altering extreme hydrometeorological and climate events' severity, frequency, and intensity. Water infrastructure has been traditionally designed under a stationary climate assumption, which has become invalid and led to underestimating failure risks in a changing environment. The increasing failure risks for water infrastructure can bring losses to society, economy and theenvironment. In order to safeguard our hydraulic infrastructure, the traditional design practices should be revisited. However, our contemporary understanding of the impacts of changing climate on critical infrastructures still needs to be improved. Hence, knowledge of climate change's effects on water infrastructure is needed to increase preparedness, decrease risk, and enhance disaster resilience. Accordingly, the hydrologic design tools like intensity-duration-frequency (IDF), flood frequency (FF), temperature- duration- frequency (TDF), drought severity-duration-frequency (SDF), and flow duration curves or hazard maps need updates, accounting for and introducing non-stationarity features. 

This Special Issue on 'Climate-Resilient Water Infrastructure Design in Non-Stationarity World' aims to generate a compendium of knowledge through original research articles and reviews that could trigger the advancement of science and innovation for water infrastructure management in our changing world.

It is available!


Transforming Scientific Advancement intoInnovation

Remote sensing technology is playing an increasingly important role in the agriculture sector by providing timely spectral information which can be used to assess the biophysical indicators of plant health, to quantify crop yield, to map the soil quality, and to improve agro-ecological forecasts. This book project will compile the latest applications of Remote Sensing in agriculture using spaceborne, airborne and drones’ geospatial data.

precision ag

1st Edition - October 20, 2023
Editors: Salim Lamine, Prashant K. Srivastava, Ahmed Kayad, Francisco Munoz Arriola, Prem Chandra Pandey
Language: English
Paperback ISBN: 9 7 8 - 0 - 3 2 3 - 9 1 0 6 8 - 2
eBook ISBN: 

About Francisco Muñoz-Arriola

I am an Associate Professor in Hydroinformatics and Integrated Hydroclimate in the Department of Biological Systems Engineering and the School of Natural Resources. My academic and professional experiences encompass diagnostics and sub-seasonal to seasonal prognostics of extreme hydrometeorological and climate events, and their effects on infrastructure (i.e., water resources, agriculture, and ecosystem services). 

In the natural and built environment, for example, water quality and quantity are components of a complex system regulated or exacerbated by extreme hydrometeorological and climate events (EHCEs), fluctuating markets, technological developments, social behaviors, and evolving policies and decision making. Thus, the (re)design and management of resilient water infrastructure in a non-stationary world demands a better understanding of the underlying principles that enable water to maintain their core functions across geospatial attributions and management scales.

Honors and Awards

  • University of Nebraska, College of Law  Nebraska Governance and Technology Center
  • University of Nebraska Public Policy Faculty Fellow
  • Robert B. Daugherty Water for Food Institute Faculty Fellow
  • University of Nebraska-Lincoln, College of Engineering - Annual Recognition Teaching Award, Recipient (2019)
  • University of Nebraska-Lincoln-Inclusion and Diversity Faculty fellow, (2018-now)
  • University of Nebraska-Lincoln, College of Engineering Research - Annual Recognition Award, Recipient (2018)
  • National Science Foundation-Interdisciplinary Methods (for Disaster Research), Fellow, Recipient (2015-16)
  • National Science Foundation-Enabling the Next Generation of Hazards and Disasters Researchers Fellow, Recipient (2015-16)
  • University of Nebraska-Lincoln, Parent Association and Teaching Council-Contributions to Students Award, Recipient (2015)
  • America Meteorological Society/National Science Foundation-Summer Policy Colloquium Fellow, Recipient (2014)
  • Dougherty Water for Food Global Institute, Faculty Fellow, Recipient (since 2014)
  • University of Nebraska-Lincoln-Layman Award, Recipient (2014)
  • University of Nebraska-Lincoln-Research Development Fellows Program, Recipient (2013-2014)


  • United States Department of Agriculture-Sustainable Agriculture Research and Education (2023-2026).Assessing and Improving Lakota Land-User Social-Ecological Interactions and Impacts on Sustainability, PI ($250,000).
  • United States Geological Survey-CESU (2023-2024). OpenET Science Team support and eeMETRIC development, operation, and review. PI, $225,000.
  • Commission for Environmental Cooperation (2023-2024). Engaging Indigenous Communities within Mexico in the Central Grasslands Roadmap. Co-PI ($46,000).
  • United States Department of Agriculture-NIFA (2023-2026). Dig, Sip, Breathe: Robotic Monitoring of Carbon and Water Cycles in Agriculture. Co-PI, $990,000.
  • NASA-Water Resources (2022-2025). Accelerating adoption of irrigation scheduling with satellite-based precision evapotranspiration from OpenET. Substitute PI, $700,000.
  • University of Nebraska-Lincoln-Agriculture Research Division and Daugherty Water for Food Global Institute (2019-2020). Irrigation Sustainability. PI, $40,000.
  • University of Nebraska-Lincoln-Agriculture Research Division (2019-2020). Predictability and resilience of groundwater systems in Nebraska: coupling natural-human systems. PI, $30,000.
  • United States Department of Agriculture-NIFA Foundational’s Plant Breeding for Agricultural Production (2018-2021). Gene-to-Global Hydroclimatic Controls on Hybrid Performance Forecast. PI, $490,000.
  • National Science Foundation-Research Training (NRT) (2017-2022). Training in Theory and Application of Cross-scale Resilience in Agriculturally Dominated Social Ecological Systems. One of five Co-PIs, $3,000,000.

Selected Publications

  • Sarzaeim, P.; Muñoz-Arriola, F. (2024). A Method to Estimate Climate Drivers of Maize Yield Predictability Leveraging Genetic-by-Environment Interactions in the US and Canada. Agronomy,14,733. https://
  • Stuart, L., Hobbins, M., Niebuhr, E., Ruane, A.C., Pulwarty, R. Hoell, A., Thiaw, W., Rosenzweig, C., Muñoz-Arriola, F. Jahn, M. Farrar, M. (2024) Enhancing Global Food Security: Opportunities for the American Meteorological Society. Bulletin of the American Meteorological Society.
  • Quiñones R, Samal A., Das Choudhury S. and Muñoz-Arriola, F. (2023) OSC-CO2: coattention and cosegmentation framework for plant state change with multiple featuresFront. Plant Sci. 14:1211409. doi: 10.3389/fpls.2023.1211409.
  • Sarzaeim, P., Muñoz-Arriola, F., Jarquin, D., Aslam, H., & De Leon Gatti, N. (2023). CLIM4OMICS: a geospatially comprehensive climate and multi-OMICS database for maize phenotype predictability in the United States and Canada. Earth System Science Data, 15(9), 3963-3990.
  • Ghosh3, K., and F. Munoz-Arriola (2023). Hysteresis and streamflow-sediment relations across the continuum of natural-to-post dam construction in a highly regulated transboundary Himalayan River. Journal of Hydrology.
  • Rehana3, S., Y. Pranathi, G. Basha, and F. Munoz-Arriola (2022). Precipitation and Temperature Extremes and Association with Large-scale Climate Indices: An Observational Evidence over India. Journal of Earth System Science.
  • Jaimes-Correa1, J.C., F. Munoz-Arriola, and S. Bartelt-Hunt (2022)Modeling water quantity and quality nonlinearities for watershed adaptability to hydroclimate extremes in agricultural landscapes. Hydrology.
  • Sarzaeim1, P., F. Muñoz-Arriola, and D. Jarquin (2022)Climate and genetic data enhancement using deep learning analytics to improve maize yield predictability. Journal of Experimental Botany.DOI: 10.1093/jxb/erac146.
  • Munoz-Arriola, F. and V. Macias-Zamora (2022) Geospatial Synthesis of Biogeochemical Attributions of Porphyrins to Oil Pollution in Marine Sediments of the Gulf of México. Geosciences. geosciences12020077.
  • Singh3, V. and F. Munoz-Arriola (2021). Improvements in fractional snowpack and snowmelt simulations at sub-catchment scale climate change assessments in the Western Himalayas. Hydrology.
  • Quiñones, R.1, F. Muñoz-Arriola, S. Das Chouhdury, and A. Samal (2021)Multi-feature data repository development and analytics for image cosegmentation in high-throughput plant phenotyping. PLUS-One.
  • Quiñones, R.1, F. Muñoz-Arriola, S. Das Chouhdury, and A. Samal (2021). Cosegmentation for Plant Phenotyping (CosegPP) Data Repository Collected Via a High-Throughput Imaging System. https://doi. org/10.5281/zenodo.5117176.
  • Muñoz-Arriola, Francisco; Abdel-Monem, Tarik; Amaranto, Alessandro. 2021. "Common Pool Resource Management: Assessing Water Resources Planning for Hydrologically Connected Surface and Groundwater Systems" Hydrology 8, no. 1: 51.
  • Ashish Kumar 1, RAAJ Ramsankaran 3, Luca Brocca, and Francisco Munoz-Arriola (2021). Expanding Machine learning modeling for improving near-real-time satellite-based rainfall-runoff forecasts in India . Journal of Hydrology.
  • Pandey, V., P. K. Srivastava, R. K. Mall, F. Munoz-Arriola, and D. Han (2020). Multi-Satellite Precipitation Products for Meteorological Drought Assessment and Forecasting in Bundelkhand region of Central India. Geocarto Internacional.
  • Amaranto, A., F. Pianosi, D. Solomatine, G. Corzo-Perez, and F. Munoz-Arriola (2020). A Sensitivity Analysis of Hydroclimatic Controls of Data-driven Groundwater Forecast in Irrigated Croplands. Journal of Hydrology.
  • Ashish Kumar, RAAJ Ramsankaran, Luca Brocca, Francisco Munoz-Arriola (2019). A 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..

For additional publications press here.


  • Lamine, S., P.K. Srivastava, A. Kayad, P., F. Munoz-Arriola, P.C. Pandey (2023). REMOTE SENSING IN PRECISION AGRICULTURE: TRANSFORMING SCIENTIFIC ADVANCEMENT INTO INNOVATION. Elsevier books/Academic Press.  ISBN 978-0-323-91068-2.
  • Singh, Vijay P., Shalini Yadav, Krishna K. Yadav, Gerald A. Corzo Perez, Francisco Munoz-Arriola, and Ram N. Yadava (2022). APPLICATION OF REMOTE SENSING AND GIS IN NATURAL RESOURCES AND BUILT INFRASTRUCTURE MANAGEMENT. ISBN-13: 978-3-031-14095-2.
  • Ramanathan, A.L.R., S. Chidambaram, M.P. Jonathan, M.V. Prasana, P. Kumar, and F. Munoz-Arriola (2021) ENVIRONMENTAL RESILIENCE AND TRANSFORMATION IN TIMES OF COVID-19: CLIMATE CHANGE EFFECTS ON ENVIRONMENTAL FUNCTIONALITY. Elsevier.ISBN# 978-0323855129. 438pp.
  • Kumar, M., F. Munoz-Arriola, H. Furumai, and T Chaminda (2020) RESILIENCE, RESPONSE, AND RISK IN WATER SYSTEMS: SHIFTS IN NATURAL FORCINGS AND MANAGEMENT PARADIGMS. Springer Transactions in Civil and Environmental Engineering. ISBN#978-981-15-4667-9: 395pp.


  • Janin, J., F. Munoz-Arriola, and D. Khare (2021). Short-Term Resilience and Transformation of Urban Socio-environmental Systems to COVID-19 Lockdowns in India using Air Quality as Proxy. In ENVIRONMENTAL RESILIENCE AND TRANSFORMATION IN TIMES OF COVID-19 (Eds. Ramanathan et al). Elsevier.DOI: 10.1016/C2020-0-02703-9.
  • 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. 


  • Rico1, D. A., F. Muñoz-Arriola, J. Bradley, and C. Detweiler (Accepted). Analytics for Real-Time Inertial Localization of the Tethered Aircraft Unmanned System. 18th International Symposium on Experimental Robotics (ISER), 2023, 11 pp.
  • Ojeda Bustamante, W., Palerm Viqueira, J., and Muñoz-Arriola, F. (2023). El ahorro del agua a través de la tecnificación de grandes zonas de riego: cuentas y cuentos. COMEII-23003. VIII Congreso Nacional y I Congreso Internacional de Riego, Drenaje y Biosistemas, October 6, 2023.
  • Romanelli, T, F. Muñoz-Arriola, and A. F. Colaço (2022). Conceptual framework to integrate economic drivers of decision-making for technology adoption in agriculture. Engineering Proceedings, 43 (9): pp 1-5. engproc2021009043.
  • Rico1, D. A., F. Muñoz-Arriola, and C. Detweiler (2021). Trajectory Selection for Power-over-Tether Atmospheric Sensing UAS. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021, pp. 2321-2328, doi: 10.1109/IROS51168.2021.9636364.
  • Sarzaeim, P1, W. Ou1, L. Alves de Oliveira2, and Francisco Munoz-Arriola (2021). Flood-Risk Analytics for Climate-Resilient Agriculture Using Remote Sensing in the Northern High Plains. In Geo-Extreme 2021, pp. 234-244.
  • Wilson, A., R. Cifelli, F. Munoz-Arriola, J. Giovannettone, J. Vano, T. Parzybok, A. Dufour, J. Jasperse, K. Mahoney, and B. McCormick (2021). Efforts to Build Infrastructure Resiliency to Future Hydroclimate Extremes. In Geo-Extreme 2021, pp. 222-233.
  • Rico, D.A.1, Carrick Detweiler, and Francisco Muñoz-Arriola (2020). Power-over-Tether UAS Leveraged for Nearly-Indefinite Meteorological Data Acquisition. 2020 ASABE Annual International Meeting, Paper No. 1345. DOI:
  • Sarzaeim, P1., D. Jarquin, and F. Muñoz-Arriola (2020). Analytics for climate-uncertainty estimation and propagation in maize-phenotype predictions. 2020 ASABE Annual International Meeting, Paper No. 1165. DOI:
  • Garret Williams4, Parisa Sarzaeim1, and Francisco Muñoz-Arriola (2020). Simplification of Complex Environmental Variations on Maize-Phenotype Predictability. 2020 ASABE Annual International Meeting, Paper No. 1291. DOI:
  • Luciano Alves de Oliveira2, Bryan L Woodbury, Jarbas Honorio de Miranda, and Francisco Munoz-Arriola (2020). Geospatial upscaling of atrazine’s transport using electromagnetic induction across point to field scale. 2020 ASABE Annual International Meeting, Paper No. 884. DOI:
  • 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. 2019 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.


  • Aslam1, H, Sarzaeim1, P., and F. Muñoz-Arriola (2023)CLImate for Maize OMICS: CLIM4OMICS Analytics and Database. DOI 10.5281/zenodo.8002909.
  • Aslam1, H, Sarzaeim1, P., and F. Muñoz-Arriola (2023)CLImate-for-Maize-OMICS_CLIM4OMICS-Analytics-and-Database Code. DOI 10.5281/zenodo.8161662.
  • Jaimes-Correa1, J.C., F. Munoz-Arriola, and S. Bartelt-Hunt (2022). Water quantity and quality datasets for the simulation of nonlinearities for watershed adaptability to hydroclimate extremes in agricultural landscapes. DOI: 10.3390/hydrology9050080.
  • Sarzaeim1, P., F. Muñoz-Arriola, and D. Jarquin (2022)Large-scale and Multi-dimensional Climate, Genetics, and Phenotypes Database for Maize Yield Predictability in the U.S. and Canada.
  • Munoz-Arriola, F. and V. Macias-Zamora (2022). Database for the Geospatial Synthesis of Biogeochemical Attributions of Porphyrins to Oil Pollution in Marine Sediments of the Gulf of México.
  • Carrillo, C.M. and F. Munoz-Arriola (2021). Precipitation, low-level jet, and geopotential height data for analyzing sources of predictability in the US northern Great Plains. DOI 10.5072/zenodo.983162.
  • Quiñones, R.1, F. Muñoz-Arriola, S. Das Chouhdury, and A. Samal (2021). Cosegmentation for Plant Phenotyping (CosegPP) Data Repository Collected Via a High-Throughput Imaging System. https://doi. org/10.5281/zenodo.5117176.
  • Hohbein, H., A. Zhang, Z. Trautman, D. Brecic, J. Carter. P. Sarzaeim, D. Jarquin, B. Ramamurthy, and F. Munoz-Arriola (2020). Prototype of the GEnetics by ENvironment (GEEN): A Phenotype Predictive System.
  • Isaak Arslan4, Jake Field4, Cale Harms4, Hallie Hohbein4, Miracle Modey4, B. Ramamurthy, D. Benet. Y-C Chen, and F. Munoz-Arriola (2019). NEO-SAT: An information support system for flood-disaster management.
  • Cantú-Guerrero1, J., Craven, J., A. Amaranto1, G. Corzo-Perez, F. Munoz-Arriola (2018). Prototype of Software Platform to Forecast Semiseasonal Well-Level Responses to Climate and Irrigation Scheduling in the High Plains.
  • Herrera-Leon1, L. A., M. Khan1, G. Lopez-Morteo3, and F. Munoz-Arriola (2018). Unified-access mechanisms for Weather, Climate, Water data with geospatial constrains and resolutions.
  • Osornio-Hernandez1, J. D., G. Lopez-Morteo3, and F. Munoz-Arriola (2018). Database management for multi-dimensional data storage.

Recent Presentations


  • Aslam, H1. and F. Munoz-Arriola. Integration of Biophysical data in a hydrologic knowledge graph precursor for water and carbon tradeoff. IUGG Berlin 2023. July 16, 2023.
  • Aslam, H1. and F. Munoz-Arriola. Towards the Design of Large-scale Hydrologic Knowledge Graphs for Data Integration, Management, and Analytics for data-driven models. American Geophysical Union, Fall Conference, Chicago, IL. December 14, 2022.
  • Ghosh, K3. and F. Munoz-Arriola. Streamflow-sediment relations across the continuum of natural-to-post dam construction periods in a Himalayan River basin. European Geosciences Union 2022, May 26, 2022.
  • Jain, J., Khare, D. and Arriola, F.M., Designing a Metric System for the evaluation of the Resilience due to Extreme Events in a Socio-Environmental System (No. EGU22-11347). Copernicus Meetings. European Geosciences Union 2022, May 26, 2022.
  • Sarzaeim, P.1, Munoz-Arriola, F., Jarquin, D., and De Leon Gatti, N. Consolidating OMICs and Environmental Database for Maize Yield Predictions in a Changing Climate. The 64th Annual Maize Genetics Meeting, Mar 31-Apr 3, St. Louis, MO, USA.
  • Quiñones, R.1, F. Munoz-Arriola, S. Das, and A. Samal Accurate Co-Segmentation in High-Throughput and High Dimensional Plant Image Sequences NAPPN 2022 (North American Plant Phenotyping Network). 2-25 February 2022. Athens, GA. Graduate student award.
  • Lucas, N.5, J. Jain1, and F. Munoz-Arriola. Diagnostics of Drought and Infectious Disease as Compounded Events in Socio-Environmental Systems. 102nd American Meteorological Society Annual Meeting, Virtual Meeting. January 26, 2022.
  • Quiñones, R.1, F. Munoz-Arriola, S. Das, and A. Samal. Advancing Detection of Dynamic Environmental Effects on Plants Using Computer Vision Analytics in High-Throughput Phenotyping Facilities. 102nd American Meteorological Society Annual Meeting, Virtual Meeting. January 24, 2022.
  • Aslam, H.1 and F. Munoz-Arriola. Climate Visualization Analytics for the Performance GxE Modeling (Phenotype Predictability Software) Large-Scale Experiment. 102nd American Meteorological Society Annual Meeting, Virtual Meeting. January 24, 2022.
  • Sarzaeim, P.1, H. Aslam1, R. Quiñones1, and F. Munoz-Arriola. Development of Climatic Spatiotemporal and Analytical Visualization for Maize Response to Climate. 102nd American Meteorological Society Annual Meeting, Virtual Meeting. January 24, 2022.
  • Carranza, K., Allen, C., Meredith, G., Muñoz-Arriola, F., Doan Crider, D., and E. Boyd-Valandra. Assessing socioecological interactions and resilience with an ecosystem services framework. ESA Annual Meeting (Ecological Society of America). 15-90 August 2022. Montreal, Canada.
  • Munoz-Arriola, F., P. Sarzaeim, D. Jarquin, H. Aslam, and J. Cronk. Data-driven enhancements of Climate data for spatially comprehensive genetic-by-environment (GxE) simulations. National Association of Plant Breeders' 2022 Annual Meeting. August 9, 2022.
  • Aslam, H. and F. Muñoz-Arriola. Data Management and Visualization Architecture for the integration and modeling of Climate and OMICS data for GxE modeling. National Association of Plant Breeders' 2022 Annual Meeting. August 9, 2022.
  • Igiraneza Sinyigenga, L. and F. Muñoz Arriola. Towards a Framework for the Assessment of the Socio-economic Impacts of Irrigation Water Use Under Variable Surface Water-Groundwater Interactions. University of Nebraska-Lincoln Spring Research Fair. April 15, 2022. Lincoln, NE. Awarded as best poster.
  • Lucas, N., M.Shyaka, and F. Muñoz-Arriola. Drought and COVID-19 as Compound Events. University of Nebraska-Lincoln Spring Research Fair. April 15, 2022. Lincoln, NE.


  • Indian Institute of Technology-Roorkee & National Institute of Hydrology. Climate-resilient water resources and the quest to achieve local-to-global security and sustainability. 2022 Water Conclave. March 2, Roorkee, India.
  • Universidad Católica Nuestra Señora de la Asunción. Sistemas hidrológicos Complejos: Infraestructura hídrica resiliente al clima. Virtual. November 24, 2021.

  • Banaras Hindu University. Sixth Graduate Seminar on Natural Resource Management. Collective (Re)design of climate-resilient water resources. Virtual-India. March 18, 2021.

  • University of Zululand and Chang’An University. Earth and Environmental Sciences International Webinar Conference 2021. Climate-resilient water infrastructure in a non-stationary world. Virtual-South Africa. February 1, 2021.
  • Escuela Colombiana de Ingeniería Julio Garavito, Ministry of Foreign Affairs of the Netherlands, IHE Delft. Complejidades de la construcción de infraestructura hídrica y agrícola resiliente al Cambio Climático. Seminario Abierto Hidroinformática Para La Sostenibilidad De Los Recursos Hídricos. Virtual-Colombia January 29, 2021.
  • International Association for Water, Environment, Energy, and Society. Application of Remote Sensing and GIS: Water, Environment, Land and Society. Climate-Resilient Water Infrastructure in Complex Agricultural landscapes: Integration of Data, Management, and Policy. INTERNATIONAL WORKSHOP jointly Organized by IAWEES & IHE Delft, Institute for Water Education. In Association with: RNTU, NIH, CSIR-AMPRI, WALMI, NCU, CVRU. Virtual-India. December 2, 2020.

For the full list of presentations, software, articles, books, and procedings see the CV.