Publications
2018
Evaluating Gravity-Flow Irrigation with Lessons from Yuma, Arizona, USA
Frisvold, George, et al. Evaluating Gravity-Flow Irrigation With Lessons from Yuma, Arizona, USA. 2018, https://doi.org/https://doi.org/10.3390/su10051548.
Improving Water Footprint Calculations Using Local Agronomic and Environmental Data
Frisvold, George. Improving Water Footprint Calculations Using Local Agronomic and Environmental Data. 2018.
Investigating Runoff Efficiency in Upper Colorado River Streamflow Over Past Centuries
Woodhouse, Connie A., and G. Pederson. Investigating Runoff Efficiency in Upper Colorado River Streamflow Over Past Centuries. Jan. 2018, https://doi.org/https://doi.org/10.1002/2017WR021663.
Modeling of dust emission for a crusted surface
Ghodsizadeh, Zahra, et al. Modeling of Dust Emission for a Crusted Surface. 2018, https://doi.org/https://doi.org/10.1016/j.aeolia.2019.05.001.
Seasonal elasticities of household water demand: Application of the Stone- Geary Model under an increasing block rate structure
Clarke, Andrew, et al. Seasonal Elasticities of Household Water Demand: Application of the Stone- Geary Model under an Increasing Block Rate Structure. 2018.
The influence of Colorado River flows on the upper Gulf of California fisheries economy
Duval, D., and B. Colby. The Influence of Colorado River Flows on the Upper Gulf of California Fisheries Economy. 2018, https://doi.org/10.1016/j.ecoleng.2016.05.017.
To co-produce or not to co-produce
Lemos, Maria, et al. To Co-Produce or Not to Co-Produce. 2018.
Tribal Economies: Water Settlements, Agriculture, and Gaming in the Western U.S.
Colby, Bonnie, and Suhina Deol. Tribal Economies: Water Settlements, Agriculture, and Gaming in the Western U.S. 2018, https://doi.org/https://doi.org/10.1111/j.1936-704X.2018.03269.x.
Tribal Innovations in Western Water Management
Colby, Bonnie, and Ryan Young. Tribal Innovations in Western Water Management. 2018, pp. 38-46.
Water Use and Climate Effects on Farm Profitability in the Colorado Basin
qiao, X. Water Use and Climate Effects on Farm Profitability in the Colorado Basin. 2018. University of Arizona.
2017
Application of synthetic scenarios to address water resource concerns: A management-guided case study from the Upper Colorado River Basin
McAfee, S.A., et al. Application of Synthetic Scenarios to Address Water Resource Concerns: A Management-Guided Case Study from the Upper Colorado River Basin. Dec. 2017, https://doi.org/https://doi.org/10.1016/j.cliser.2017.10.003.
Evidence that recent warming is reducing upper Colorado River Flows
McCabe, G., et al. Evidence That Recent Warming Is Reducing Upper Colorado River Flows. Dec. 2017, https://doi.org/https://doi.org/10.1175/EI-D-17-0007.1.
University of Arizona Southern California Tree-Ring Study
Meko, D. M., et al. University of Arizona Southern California Tree-Ring Study. Dec. 2017.
Using Tree-Ring Records for Understanding Droughts in a Long-Term Context: A Guidebook for the California Department of Water Resources
Woodhouse, Connie A., et al. Using Tree-Ring Records for Understanding Droughts in a Long-Term Context: A Guidebook for the California Department of Water Resources. Dec. 2017.
Climate risks and impacts for the regional utility sector: results of a collaborative research process with Tucson Electric Power
Gerlak, Andrea K., and Ben McMahan. Climate Risks and Impacts for the Regional Utility Sector: Results of a Collaborative Research Process With Tucson Electric Power. Oct. 2017.
An Ethnohistory of the NOAA RISA Program
Meadow, Alison M. An Ethnohistory of the NOAA RISA Program. Aug. 2017.
County-level climate change information to support decision-making on working lands
Emile, Elias, et al. County-Level Climate Change Information to Support Decision-Making on Working Lands. Aug. 2017, pp. pp 335-369, https://doi.org/https://doi.org/10.1007/s10584-017-2040-y.
USA National Phenology Network’s volunteer-contributed observations yield predictive models of phenological transitions
Crimmins, T., et al. USA National Phenology Network’s Volunteer-Contributed Observations Yield Predictive Models of Phenological Transitions. Aug. 2017, https://doi.org/https://doi.org/10.1371/journal.pone.0182919.