Francisco Munoz-Arriola

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Associate Professor

University of Nebraska - Lincoln

United States

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Recent Grants

Grant: Close

From Gene to Global Hydroclimatic Controls on Hybrid Performance Predictability

Open Date: 2018-02-15

Close Date: 2021-02-14

Grant: Close

NRT-INFEWS: Training in Theory and Application of Cross-scale Resilience in Agriculturally Dominated Social Ecological Systems

Open Date: 2017-09-01

Close Date: 2022-08-31

Grant: Close

Predictability of water distribution and transport across spatial and temporal scales: an application on cropland management

Open Date: 2016-06-15

Close Date: 2020-09-30

Articles (16)

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2024

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2021

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2021

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2021

Collaborators (1)

Dr. Vivek Agarwal

Northumbria University

UNITED KINGDOM

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Francisco Munoz-Arriola

Research Interests

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Contact this professor

Recent Grants

Articles (16)

Unlocking the potential of remote sensing for arsenic contamination detection and management: Challenges and perspectives

Introducing a climate, demographics, and infrastructure multi-module workflow for projected flood risk mapping in the greater Pamba River Basin, Kerala, India

Assessing Multi-Scale Atmospheric Circulation Patterns for Improvements in Sub-Seasonal Precipitation Predictability in the Northern Great Plains

A Method to Estimate Climate Drivers of Maize Yield Predictability Leveraging Genetic-by-Environment Interactions in the US and Canada

Enhancing Global Food Security

CLIM4OMICS: a geospatially comprehensive climate and multi-OMICS database for maize phenotype predictability in the United States and Canada

Hysteresis and streamflow-sediment relations across the pre-to-post dam construction continuum in a highly regulated transboundary Himalayan River basin

OSC-CO2: coattention and cosegmentation framework for plant state change with multiple features

Modeling Water Quantity and Quality Nonlinearities for Watershed Adaptability to Hydroclimate Extremes in Agricultural Landscapes

Water quantity and quality datasets for the simulation of nonlinearities for watershed adaptability to hydroclimate extremes in agricultural landscapes

Climate and genetic data enhancement using deep learning analytics to improve maize yield predictability

Geospatial Synthesis of Biogeochemical Attributions of Porphyrins to Oil Pollution in Marine Sediments of the Gulf of México

Conceptual Framework to Integrate Economic Drivers of Decision Making for Technology Adoption in Agriculture

Improvements in Sub-Catchment Fractional Snowpack and Snowmelt Parameterizations and Hydrologic Modeling for Climate Change Assessments in the Western Himalayas

Efforts to Build Infrastructure Resiliency to Future Hydroclimate Extremes

Flood-Risk Analytics for Climate-Resilient Agriculture Using Remote Sensing in the Northern High Plains

Collaborators (1)

Dr. Vivek Agarwal

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