On the Sources of Water Supply Forecast Error in Western Colorado

Author:

Goble Peter E.1,Schumacher Russ S.1

Affiliation:

1. a Colorado Climate Center, Department of Atmospheric Science, Colorado State University, Fort Collins, Colorado

Abstract

Abstract Annual spring and summer runoff from western Colorado is relied upon by 40 million people, six states, and two countries. Cool season precipitation and snowpack have historically been robust predictors of seasonal runoff in western Colorado. Forecasts made with this information allow water managers to plan for the season ahead. Antecedent hydrological conditions, such as root zone soil moisture and groundwater storage, and weather conditions following peak snowpack also impact seasonal runoff. The roles of such factors were scrutinized in 2020 and 2021: seasonal runoff was much lower than expectations based on snowpack values alone. We investigate the relative importance of meteorological and hydrological conditions occurring before and after the snowpack season in predicting seasonal runoff in western Colorado. This question is critical because the most effective investment strategy for improving forecasts depends on if errors arise before or after the snowpack season. This study is conducted using observations from the Snow Telemetry Network, root zone soil moisture and groundwater data from the Western Land Data Assimilation Systems, and a random forest–based statistical forecasting framework. We find that on average, antecedent root zone soil moisture and groundwater storage values do not add significant skill to seasonal water supply forecasts in western Colorado. In contrast, using precipitation and temperature data after the time of peak snowpack improves water supply forecasts significantly. The 2020 and 2021 runoffs were hampered by dry conditions both before and after the snowpack season. Both antecedent soil moisture and spring/summer precipitation data improved water supply forecast accuracy in these years. Significance Statement Seasonal water supply forecasts in western Colorado are highly valuable because spring and summer runoff from this region helps support the water supply of 40 million people. Accurate forecasts improve the management of the region’s water. Heavy investments have been made in improving our ability to monitor antecedent hydrological conditions in western Colorado, such as root zone soil moisture and groundwater. However, results from this study indicate that the largest source of uncertainty in western Colorado runoff forecasts is future weather. Therefore, improved subseasonal-to-seasonal weather forecasts for western Colorado are what is most needed to improve regional water supply forecasts, and the ability to properly manage western Colorado water.

Funder

National Integrated Drought Information System

Publisher

American Meteorological Society

Subject

Atmospheric Science

Reference50 articles.

1. Implications of global climate change for snowmelt hydrology in the twenty-first century;Adam, J. C.,2009

2. Adams, J., 2017: climate_indices, an open source Python library providing reference implementations of commonly used climate indices. Accessed January 2023, https://github.com/monocongo/climate_indices.

3. Aggett, G., 2022: Colorado airborne snow observatory expansion plan: Project report. 73 pp., https://coloradosnow.org/.

4. CBRFC, 2021: CBRFC water year in review. Accessed October 2022, https://www.cbrfc.noaa.gov/present/yir/yir_2020.pdf.

5. Chow, D., 2020: Colorado—the entire state—is in the midst of a widespread drought. National Broadcasting Company News, accessed 26 May 2023, https://www.nbcnews.com/science/environment/colorado-entire-state-midst-widespread-drought-n1236333.

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