Atmospheric Rivers and Snow Accumulation in the Upper Colorado River Basin

2021 ◽  
Author(s):  
Mu Xiao ◽  
Dennis P. Lettenmaier
Keyword(s):  
River Basin ◽  
Colorado River ◽  
Snow Accumulation ◽  
Colorado River Basin ◽  
Atmospheric Rivers ◽  
Upper Colorado River Basin

scholarly journals Mesoscale Variability of the Upper Colorado River Snowpack

1996 ◽  
Vol 27 (5) ◽  
pp. 313-322 ◽  
Author(s):  
Chi-Hai Ling ◽  
Edward G. Josberger ◽  
A.S. Thorndike
Keyword(s):  
River Basin ◽  
Colorado River ◽  
Snow Water Equivalent ◽  
Statistical Technique ◽  
Snow Accumulation ◽  
Colorado River Basin ◽  
Mountainous Regions ◽  
Upper Colorado River Basin ◽  
Snow Water ◽  
Colorado Rocky Mountains

In the mountainous regions of the Upper Colorado River Basin, snow course observations give local measurements of snow water equivalent, which can be used to estimate regional averages of snow conditions. We develop a statistical technique to estimate the mesoscale average snow accumulation, using 8 years of snow course observations. For each of three major snow accumulation regions in the Upper Colorado River Basin – the Colorado Rocky Mountains, Colorado, the Uinta Mountains, Utah, and the Wind River Range, Wyoming – the snow course observations yield a correlation length scale of 38 km, 46 km, and 116 km respectively. This is the scale for which the snow course data at different sites are correlated with 70 per cent correlation. This correlation of snow accumulation over large distances allows for the estimation of the snow water equivalent on a mesoscale basis. With the snow course data binned into 1/4° latitude by 1/4° longitude pixels, an error analysis shows the following: for no snow course data in a given pixel, the uncertainty in the water equivalent estimate reaches 50 cm; that is, the climatological variability. However, as the number of snow courses in a pixel increases the uncertainty decreases, and approaches 5-10 cm when there are five snow courses in a pixel.

scholarly journals A Subseasonal Regime Approach for Assessing Intra-annual Variability of Evapotranspiration and Application to the Upper Colorado River Basin

2022 ◽  
Vol 3 ◽  
Author(s):  
Jiancong Chen ◽  
Baptiste Dafflon ◽  
Haruko M. Wainwright ◽  
Anh Phuong Tran ◽  
Susan S. Hubbard
Keyword(s):  
Climate Change ◽  
River Basin ◽  
Colorado River ◽  
Markov Models ◽  
Snow Accumulation ◽  
Meteorological Conditions ◽  
Colorado River Basin ◽  
Summer Drought ◽  
Annual Variability ◽  
Upper Colorado River Basin

Evapotranspiration (ET) is strongly influenced by gradual climate change and fluctuations in meteorological conditions, such as earlier snowmelt and occurrence of droughts. While numerous studies have investigated how climate change influences the inter-annual variability of ET, very few studies focused on quantifying how subseasonal events control the intra-variability of ET. In this study, we developed the concept of subseasonal regimes, whose timing and duration are determined statistically using Hidden Markov Models (HMM) based on meteorological conditions. We tested the value of subseasonal regimes for quantitatively characterizing the variability of seasonal and subseasonal events, including the onset of snow accumulation, snowmelt, growing season, monsoon, and defoliation. We examined how ET varied as a function of the timing of these events within a year and across six watersheds in the region. Variability of annual ET across these six sites is much less significant than the variability in hydroclimate attributes at the sites. Subseasonal ET, defined as the total ET during a given subseasonal regime, provides a measure of intra-annual variability of ET. Our study suggests that snowmelt and monsoon timing influence regime transitions and duration, such as earlier snowmelt can increase springtime ET rapidly but can trigger long-lasting fore-summer drought conditions that lead to decrease subseasonal ET. Overall, our approach provides an enhanced statistically based framework for quantifying how the timing of subseasonal-event transitions influence ET variability. The improved understanding of subseasonal ET variability is important for predicting the future impact of climate change on water resources from the Upper Colorado River Basin regions.

scholarly journals Upper Colorado River Basin 20th century droughts under 21st century warming: Plausible scenarios for the future

2021 ◽  
Vol 21 ◽  
pp. 100206
Author(s):  
Connie A. Woodhouse ◽  
Rebecca M. Smith ◽  
Stephanie A. McAfee ◽  
Gregory T. Pederson ◽  
Gregory J. McCabe ◽  
...  
Keyword(s):  
20Th Century ◽  
River Basin ◽  
21St Century ◽  
Colorado River ◽  
Colorado River Basin ◽  
Upper Colorado River Basin ◽  
The Future

scholarly journals Winter Inputs Buffer Streamflow Sensitivity to Snowpack Losses in the Salt River Watershed in the Lower Colorado River Basin

Water ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 3
Author(s):  
Marcos D. Robles ◽  
John C. Hammond ◽  
Stephanie K. Kampf ◽  
Joel A. Biederman ◽  
Eleonora M. C. Demaria
Keyword(s):  
River Basin ◽  
Colorado River ◽  
Snow Accumulation ◽  
Colorado River Basin ◽  
Scale Model ◽  
Annual Streamflow ◽  
Basin Scale ◽  
Salt River ◽  
Lower Colorado River Basin ◽  
Lower Colorado River

Recent streamflow declines in the Upper Colorado River Basin raise concerns about the sensitivity of water supply for 40 million people to rising temperatures. Yet, other studies in western US river basins present a paradox: streamflow has not consistently declined with warming and snow loss. A potential explanation for this lack of consistency is warming-induced production of winter runoff when potential evaporative losses are low. This mechanism is more likely in basins at lower elevations or latitudes with relatively warm winter temperatures and intermittent snowpacks. We test whether this accounts for streamflow patterns in nine gaged basins of the Salt River and its tributaries, which is a sub-basin in the Lower Colorado River Basin (LCRB). We develop a basin-scale model that separates snow and rainfall inputs and simulates snow accumulation and melt using temperature, precipitation, and relative humidity. Despite significant warming from 1968–2011 and snow loss in many of the basins, annual and seasonal streamflow did not decline. Between 25% and 50% of annual streamflow is generated in winter (NDJF) when runoff ratios are generally higher and potential evapotranspiration losses are one-third of potential losses in spring (MAMJ). Sub-annual streamflow responses to winter inputs were larger and more efficient than spring and summer responses and their frequencies and magnitudes increased in 1968–2011 compared to 1929–1967. In total, 75% of the largest winter events were associated with atmospheric rivers, which can produce large cool-season streamflow peaks. We conclude that temperature-induced snow loss in this LCRB sub-basin was moderated by enhanced winter hydrological inputs and streamflow production.

scholarly journals Evaluating the Conservation Potential of Tributaries for Native Fishes in the Upper Colorado River Basin

Fisheries ◽  
2018 ◽  
Vol 43 (4) ◽  
pp. 194-206 ◽  
Author(s):  
Brian G. Laub ◽  
Gary P. Thiede ◽  
William W. Macfarlane ◽  
Phaedra Budy
Keyword(s):  
River Basin ◽  
Colorado River ◽  
Colorado River Basin ◽  
Upper Colorado River Basin ◽  
Native Fishes
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