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Title: Energy‐Water Asynchrony Principally Determines Water Available for Runoff From Snowmelt in Continental Montane Forests

Journal Article · · Hydrological Processes
DOI: https://doi.org/10.1002/hyp.15297 · OSTI ID:2475244
ORCiD logo [1];  [2]; ORCiD logo [3];  [1];  [4];  [1];  [1];  [1];  [5];  [6];  [7];  [8];  [9];  [10]
  1. Department of Civil &, Architectural Engineering and Construction Management University of Wyoming Laramie Wyoming USA
  2. Department of Land Resources and Environmental Sciences Montana State University Bozeman Montana USA
  3. Department of Botany University of Wyoming Laramie Wyoming USA
  4. Department of Atmospheric Science University of Wyoming Laramie Wyoming USA
  5. Department of Geology &, Geophysics University of Wyoming Laramie Wyoming USA
  6. School of Geography, Development &, Environment University of Arizona Tucson Arizona USA
  7. Department of Geography University of Colorado Boulder Colorado USA
  8. Department of Geography University of Colorado Boulder Colorado USA, NSF National Center for Atmospheric Research Boulder Colorado USA
  9. Rocky Mountain Research Station USDA Forest Service Fort Collins Colorado USA
  10. Department of Biology University of New Mexico Albuquerque New Mexico USA

ABSTRACT Changes in the volume, rate, and timing of the snowmelt water pulse have profound implications for seasonal soil moisture, evapotranspiration (ET), groundwater recharge, and downstream water availability, especially in the context of climate change. Here, we present an empirical analysis of water available for runoff using five eddy covariance towers located in continental montane forests across a regional gradient of snow depth, precipitation seasonality, and aridity. We specifically investigated how energy‐water asynchrony (i.e., snowmelt timing relative to atmospheric demand), surface water input intensity (rain and snowmelt), and observed winter ET (winter AET) impact multiple water balance metrics that determine water available for runoff (WAfR). Overall, we found that WAfR had the strongest relationship with energy‐water asynchrony (adjusted r 2  = 0.52) and that winter AET was correlated to total water year evapotranspiration but not to other water balance metrics. Stepwise regression analysis demonstrated that none of the tested mechanisms were strongly related to the Budyko‐type runoff anomaly (highest adjusted r 2  = 0.21). We, therefore, conclude that WAfR from continental montane forests is most sensitive to the degree of energy‐water asynchrony that occurs. The results of this empirical study identify the physical mechanisms driving variability of WAfR in continental montane forests and are thus broadly relevant to the hydrologic management and modelling communities.

Sponsoring Organization:
USDOE
OSTI ID:
2475244
Journal Information:
Hydrological Processes, Journal Name: Hydrological Processes Journal Issue: 10 Vol. 38; ISSN 0885-6087
Publisher:
Wiley Blackwell (John Wiley & Sons)Copyright Statement
Country of Publication:
United Kingdom
Language:
English

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