A methodology to asess relations between climatic variability and variations in hydrologic time series in the southwestern United States

Hanson, Randall T.; Newhouse, M.W.; Dettinger, M.

doi:10.1016/j.jhydrol.2003.10.006

Cited by 163 publications

(185 citation statements)

References 20 publications

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“…The amplitudes of the 3-and 4-year components varied between 0 to 0.255 m 3 /day/m, and 0 to 0.227 m 3 /day/m, respectively, in the composite recharge rate. The 8-year component is similar to Monsoonal moisture cycles [Adams and Comrie, 1997;Hanson et al, 2004], and the interdecadal 16-year cycle might derive from the PDO [Dettinger et al, 2001;Hanson et al, 2004]. The 100-year component is similar to century-scale variations that have been identified in some tree ring chronologies [Meko et al, 1980].…”

Section: Idealized Modelssupporting

confidence: 63%

“…The periodic recharge rates were predetermined by separate forward simulations, using the same model, prior to this analysis to reproduce water level variations similar to those reconstructed in the southwestern United States [Hanson et al, 2004]. The time average of both the single and composite recharge rates was 0.929 m 3 /day/m, which retained the time-averaged saturated thickness and transmissivity for both analyses.…”

Section: Idealized Modelsmentioning

confidence: 99%

“…A uniformly distributed, random component was also added (Figure 4). The 3-and 4-year components represent variations that might derive from the ENSO climate cycle [Hanson et al, 2004]. The amplitudes of the 3-and 4-year components varied between 0 to 0.255 m 3 /day/m, and 0 to 0.227 m 3 /day/m, respectively, in the composite recharge rate.…”

Section: Idealized Modelsmentioning

confidence: 99%

“…The amplitudes of the 8-year, 16-year, and 100-year components each varied between 0 to 0.0283 m 3 /day/m in the composite recharge rate. The random component, which is common in hydrologic time series and remains after periodic components are removed [Hanson et al, 2004], was assigned a comparable magnitude that varied between À0.0142 m 3 /day/m and +0.0142 m 3 /day/m. The shorter 3-year and 4-year ENSO-like cycles with the random components contribute 95% of the recharge variation.…”

Section: Idealized Modelsmentioning

confidence: 99%

“…Variations of 2 to 6 years could be related to El Niño-Southern Oscillation (ENSO), a system of interactions of tropical oceans and the overlying atmosphere, and variations of 8 to 10 years could be related to monsoonal moisture variations [Adams and Comrie, 1997]. Interdecadal variations of 10 to 25 years could be related to sea surface temperature variability described by the Pacific Decadal Oscillation (PDO) [Dettinger et al, 2001;Hanson et al, 2004]. Water levels with multiple periodic components that are correlated to ENSO, variations in monsoonal precipitation, and PDO , 1999, 2000 have been identified in unconfined aquifers using spectral methods.…”

Section: Introductionmentioning

confidence: 99%

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Inferring time‐varying recharge from inverse analysis of long‐term water levels

Dickinson

Hanson

Ferré

et al. 2004

Water Resources Research

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[1] Water levels in aquifers typically vary in response to time-varying rates of recharge, suggesting the possibility of inferring time-varying recharge rates on the basis of longterm water level records. Presumably, in the southwestern United States (Arizona, Nevada, New Mexico, southern California, and southern Utah), rates of mountain front recharge to alluvial aquifers depend on variations in precipitation rates due to known climate cycles such as the El Niño-Southern Oscillation index and the Pacific Decadal Oscillation. This investigation examined the inverse application of a one-dimensional analytical model for periodic flow described by Lloyd R. Townley in 1995 to estimate periodic recharge variations on the basis of variations in long-term water level records using southwest aquifers as the case study. Time-varying water level records at various locations along the flow line were obtained by simulation of forward models of synthetic basins with applied sinusoidal recharge of either a single period or composite of multiple periods of length similar to known climate cycles. Periodic water level components, reconstructed using singular spectrum analysis (SSA), were used to calibrate the analytical model to estimate each recharge component. The results demonstrated that periodic recharge estimates were most accurate in basins with nearly uniform transmissivity and the accuracy of the recharge estimates depends on monitoring well location. A case study of the San Pedro Basin, Arizona, is presented as an example of calibrating the analytical model to real data.

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Section: Idealized Modelssupporting

confidence: 63%

Section: Idealized Modelsmentioning

confidence: 99%

Section: Idealized Modelsmentioning

confidence: 99%

Section: Idealized Modelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Inferring time‐varying recharge from inverse analysis of long‐term water levels

Dickinson

Hanson

Ferré

et al. 2004

Water Resources Research

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Urban recharge beneath low impact development and effects of climate variability and change

et al. 2014

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Understanding low impact development (LID) planning and best management practices (BMPs) effects on recharge is important because of the increasing use of LID BMPs to reduce storm water runoff and improve surface-water quality. LID BMPs are microscale, decentralized management techniques such as vegetated systems, pervious pavement, and infiltration trenches to capture, reduce, filter, and slow storm water runoff. Some BMPs may enhance recharge, which has often been considered a secondary management benefit. Here we report results of a field and HYDRUS-2D modeling study in San Francisco, California, USA to quantify urban recharge rates, volumes, and efficiency beneath a LID BMP infiltration trench and irrigated lawn considering historical El Niño/Southern Oscillation (ENSO) variability and future climate change using simulated precipitation from the Geophysical Fluid Dynamic Laboratory (GFDL) A1F1 climate scenario. We find that in situ and modeling methods are complementary, particularly for simulating historical and future recharge scenarios, and the in situ data are critical for accurately estimating recharge under current conditions. Observed (2011)(2012) and future (2099-2100) recharge rates beneath the infiltration trench (1750-3710 mm yr 21 ) were an order of magnitude greater than beneath the irrigated lawn (130-730 mm yr 21 ). Beneath the infiltration trench, recharge rates ranged from 1390 to 5840 mm yr 21 and averaged 3410 mm yr 21 for El Niño years and from 1540 to 3330 mm yr 21 and averaged 2430 mm yr 21 for La Niña years. We demonstrate a clear benefit for recharge and local groundwater resources using LID BMPs.

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Analyses of infrequent (quasi-decadal) large groundwater recharge events in the northern Great Basin: Their importance for groundwater availability, use, and management

et al. 2016

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There has been a considerable amount of research linking climatic variability to hydrologic responses in the western United States. Although much effort has been spent to assess and predict changes in surface water resources, little has been done to understand how climatic events and changes affect groundwater resources. This study focuses on characterizing and quantifying the effects of large, multiyear, quasi‐decadal groundwater recharge events in the northern Utah portion of the Great Basin for the period 1960–2013. Annual groundwater level data were analyzed with climatic data to characterize climatic conditions and frequency of these large recharge events. Using observed water‐level changes and multivariate analysis, five large groundwater recharge events were identified with a frequency of about 11–13 years. These events were generally characterized as having above‐average annual precipitation and snow water equivalent and below‐average seasonal temperatures, especially during the spring (April through June). Existing groundwater flow models for several basins within the study area were used to quantify changes in groundwater storage from these events. Simulated groundwater storage increases per basin from a single recharge event ranged from about 115 to 205 Mm3. Extrapolating these amounts over the entire northern Great Basin indicates that a single large quasi‐decadal recharge event could result in billions of cubic meters of groundwater storage. Understanding the role of these large quasi‐decadal recharge events in replenishing aquifers and sustaining water supplies is crucial for long‐term groundwater management.

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A methodology to asess relations between climatic variability and variations in hydrologic time series in the southwestern United States

Cited by 163 publications

References 20 publications

Inferring time‐varying recharge from inverse analysis of long‐term water levels

Inferring time‐varying recharge from inverse analysis of long‐term water levels

Urban recharge beneath low impact development and effects of climate variability and change

Analyses of infrequent (quasi-decadal) large groundwater recharge events in the northern Great Basin: Their importance for groundwater availability, use, and management

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