Evaluating input data sources for isotope‐enabled rainfall‐runoff models DOI Creative Commons
Andrew Watson, Christian Birkel, Saúl Arciniega‐Esparza

et al.

Hydrological Processes, Journal Year: 2024, Volume and Issue: 38(9)

Published: Sept. 1, 2024

Abstract Isotope‐enabled models provide a means to generate robust hydrological simulations. However, daily isotope‐enabled rainfall‐runoff applied larger spatial scales (>100 km 2 ) require more input data than conventional non‐isotope in the form of precipitation isotope time series, which are difficult even with point station measurements. Spatially distributed can be circumvented by climate models. Here, we evaluate simulations J2000‐isotope enabled model driven from corrected and un‐corrected global regional (isotope‐enabled spectral [IsoGSM] [IsoRSM], respectively) compared 1 year measured reference yearly average for pilot site, data‐scarce sub‐humid Eerste River catchment South Africa. The all products performed well upstream downstream discharge gauges Nash Sutcliffe efficiency (NSE) 0.58 0.85 LogNSE 0.66 0.93. simulated δ H stream isotopes using J2000‐iso J2000‐isoRSM were good main river Kling Gupta (KGE) between 0.4–0.9 top 100 Monte Carlo varying around 5‰ H. For smaller tributaries was unable capture due biased inputs. Adjusting bias IsoRSM improved groundwater simulation outperformed an input. Differences processes only evident when evaluating percolation unrealistic standard J2000 model. While is computationally intensive its counterpart, it provided better improvements percolation. Our results indicate that useful scarce regions models, where water management address change impacts needed.

Language: Английский

Evaluating input data sources for isotope‐enabled rainfall‐runoff models DOI Creative Commons
Andrew Watson, Christian Birkel, Saúl Arciniega‐Esparza

et al.

Hydrological Processes, Journal Year: 2024, Volume and Issue: 38(9)

Published: Sept. 1, 2024

Abstract Isotope‐enabled models provide a means to generate robust hydrological simulations. However, daily isotope‐enabled rainfall‐runoff applied larger spatial scales (>100 km 2 ) require more input data than conventional non‐isotope in the form of precipitation isotope time series, which are difficult even with point station measurements. Spatially distributed can be circumvented by climate models. Here, we evaluate simulations J2000‐isotope enabled model driven from corrected and un‐corrected global regional (isotope‐enabled spectral [IsoGSM] [IsoRSM], respectively) compared 1 year measured reference yearly average for pilot site, data‐scarce sub‐humid Eerste River catchment South Africa. The all products performed well upstream downstream discharge gauges Nash Sutcliffe efficiency (NSE) 0.58 0.85 LogNSE 0.66 0.93. simulated δ H stream isotopes using J2000‐iso J2000‐isoRSM were good main river Kling Gupta (KGE) between 0.4–0.9 top 100 Monte Carlo varying around 5‰ H. For smaller tributaries was unable capture due biased inputs. Adjusting bias IsoRSM improved groundwater simulation outperformed an input. Differences processes only evident when evaluating percolation unrealistic standard J2000 model. While is computationally intensive its counterpart, it provided better improvements percolation. Our results indicate that useful scarce regions models, where water management address change impacts needed.

Language: Английский

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