Detecting Permafrost Active Layer Thickness Change From Nonlinear Baseflow Recession. Issue 1 (17th January 2023)

• Record Type: Journal Article
• Authors: Cooper, M. G.; Zhou, T.; Bennett, K. E.; Bolton, W. R.; Coon, E. T.; Fleming, S. W.; Rowland, J. C.; Schwenk, J.
• Is Part Of: Water resources research. Volume 59:Issue 1(2023)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2023-01-17
• Subjects: active layer -- permafrost -- baseflow -- streamflow recession -- groundwater; Hydrology -- Periodicals; 333.91
• DOI: 10.1029/2022WR033154
• Languages: English
• ISSNs: 0043-1397

Abstract

Abstract: Permafrost underlies about one fifth of the global land area and affects ground stability, freshwater runoff, soil chemistry, and surface‐atmosphere gas exchange. The depth of thawed ground overlying permafrost (active layer thickness) has broadly increased across the Arctic in recent decades, coincident with a period of increased streamflow, especially the lowest flows (baseflow). Mechanistic links between active layer thickness and baseflow have recently been explored using linear reservoir theory, but most watersheds behave as nonlinear reservoirs. We derive theoretical nonlinear relationships between long‐term average saturated soil thickness η ‾ $\overline{\eta }$ (proxy for active layer thickness) and long‐term average baseflow. When applied to 38 years of daily streamflow data for the Kuparuk River basin on the North Slope of Alaska, the theory predicts η ‾ $\overline{\eta }$ increased 0.17 ± 0.22 [ 2 σ ] $0.17\pm 0.22\, [2\sigma ]$ cm a −1 between 1983 and 2020 ( 6.4 ± 8.4 $6.4\pm 8.4$ cm total). The rate of increase nearly doubled to 0.29 ± 0.31 $0.29\pm 0.31$ cm a −1 between 1990 and 2020, during which time local field measurements from Circumpolar Active Layer Monitoring sites indicate the active layer increased 0.31 ± 0.22 $0.31\pm 0.22$ cm a −1 . The predicted rate of increase more than doubled again between 2002 and 2020, outpacing a near doubling of observed active layer thickening, consistent with trends in terrestrial water storage inferred from Gravity Recovery and Climate Experiment satellite gravimetry and Modern‐Era Retrospective Analysis for Research and Applications climate reanalysis. Overall, hydrologic change is accelerating in the Kuparuk River basin, and we provide a theoretical framework for estimating basin‐scale changes in active layer water storage from streamflow measurements. Plain Language Summary: Streamflow has increased in most areas of the Arctic in recent decades. This increase in streamflow has occurred along with a period of rising air temperatures and thawing permafrost. Permafrost is typically overlain by a layer of seasonally unfrozen ground referred to as active layer, which gets deeper as permafrost thaws. As active layer deepens, it can store more water. Water may also take more time to flow through a thicker active layer than it would atop frozen ground. Because there is more space to store water, thicker active layers lead to increased soil water storage which sustains streamflow during dry periods and enhances overall increased streamflow and subsurface flow. We developed an approach to measure how quickly the active layer thickness is changing using the rate of change of streamflow. This is useful because streamflow measurements are widely available and easy to obtain, whereas active layer thickness measurements are difficult to measure and less common than streamflow measurements. If the equations we developed accurately predict measured values, the pace at which active layer thickness changes can be estimated from streamflow measurements, which would expand the current knowledge of permafrost thaw rates and provide an independent way to validate computer simulations of active layer thickness. Key Points: New relationships between active layer thickness and baseflow are developed for application to catchments underlain by permafrost Theoretical predictions of active layer thickness trends agree with measured trends on the North Slope of Arctic Alaska Novel methods are developed to estimate nonlinear recession flow parameters and related hydrologic signatures using generalized Pareto distributions