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Advancing isotope‐enabled hydrological modelling for ungauged calibration of data‐scarce humid tropical catchments

Watson, Andrew ; Kralisch, Sven; Miller, Jodie; Vystavna, Yuliya; Gokool, Shaeden; Künne, Annika; Helmschrot, Jörg 1,2; Arciniega-Esparza, Saul; Sanchez-Murillo, Ricardo; Birkel, Christian
1 Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO), Karlsruher Institut für Technologie (KIT)
2 Institut für Meteorologie und Klimaforschung (IMK), Karlsruher Institut für Technologie (KIT)

Abstract:

Realistic projections of the future climate and how this translates to water availabilityis crucial for sustainable water resource management. However, data availability con-strains the capacity to simulate streamflow and corresponding hydrological pro-cesses. Developing more robust hydrological models and methods that cancircumvent the need for large amounts of hydro-climatic data is crucial to supportwater-related decisions, particularly in developing countries. In this study, we usenatural isotope tracers in addition to hydro-climate data within a newly developedversion of the spatially-distributed J2000iso as an isotope-enabled rainfall-runoffmodel simulating both water and stable isotope (δ2H) fluxes. We pilot the model forthe humid tropical San Carlos catchment (2500 km2) in northeastern Costa Rica,which has limited time series, but spatially distributed data. The added benefit of sim-ulating stable isotopes was assessed by comparing different amounts of observationdata using three model calibration strategies (i) three streamflow gauges, (ii) threegauges with stream isotopes and (iii) isotopes only. The J2000iso achieved a stream-flow Kling–Gupta efficiency (KGE) of 0.55–0.70 across all the models and gauges,but differences in hydrological process simulations emerged when including stablewater isotopes in the rainfall-runoff calibration. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000168602
Veröffentlicht am 27.02.2024
Originalveröffentlichung
DOI: 10.1002/hyp.15065
Scopus
Zitationen: 1
Dimensions
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 02.2024
Sprache Englisch
Identifikator ISSN: 0885-6087, 1099-1085
KITopen-ID: 1000168602
HGF-Programm 12.11.34 (POF IV, LK 01) Improved predictions from weather to climate scales
Erschienen in Hydrological Processes
Verlag John Wiley and Sons
Band 38
Heft 2
Seiten 1-20
Vorab online veröffentlicht am 11.02.2024
Nachgewiesen in Dimensions
Web of Science
Scopus
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