Limited observational data in cold-arid regions results in oversimplified hydrological models

The gap

Evidence profile

Sourced from the stated research gap and discussion and conclusions and abstract and stated challenges of the source papers, classified as general, drawn from work published between 2024 and 2026, spanning 3 journals. Those papers have been cited 42 times in total.

Supporting evidence — 5 representative gaps

• Revealing the influence of topography and vegetation on hydrological processes using a stepwise modelling approach in cold alpine basins of the Mongolian Plateau (2026) · Hydrology and earth system sciences · cited 1× · doi

  Limited observational data in cold-arid regions results in oversimplified hydrological models. The need to represent landscape controls more explicitly in hydrological models. The individual contributions of topography and vegetation are often underestimated in hydrological models.

  generalstated research gap
  Keywords: limited observational data cold-arid regions results oversimplified hydrological
• SWAT-Driven Exploration of Runoff Dynamics in Hyper-Arid Region, Saudi Arabia: Implications for Hydrological Understanding (2024) · Water · cited 11× · doi

  Despite these challenges, findings from the existing study demonstrated that the SWAT model is capable of reliably predicting runoff in hy-per-arid regions where data are scarce, as highlighted by [54,59]. Water 2024, 16, 2043 19 of 23 regions where data are scarce, as highlighted by [54,59].

  generaldiscussionevidence 5/5
  Keywords: regions scarce highlighted despite challenges ndings existing swat model capable reliably predicting runo arid water
• SWAT-Driven Exploration of Runoff Dynamics in Hyper-Arid Region, Saudi Arabia: Implications for Hydrological Understanding (2024) · Water · cited 11× · doi

  Future research should focus on enhanced data collection either by installing new gauges or incorporating high-resolution datasets, such as reanalysis data, to overcome data-scarcity issues. Despite the scarcity of observational data, limited to the years 1979–1984, this study successfully tack- led the complexities inherent in strongly arid environments. The study demonstrates the SWAT model’s potential for hydrological research and water resource management in hyper-arid regions, offering a tool for effective planning and management, even with limited data.

  generalconclusionsevidence 5/5
  Keywords: scarcity limited arid management future focus enhanced collection either installing gauges incorporating high resolution datasets
• CoSWAT Model v1: A high-resolution global SWAT+ hydrological model (2025) · Hydrology and earth system sciences · cited 13× · doi

  However, despite its widespread use, a global implementation of SWAT+ is currently lacking due to computational demands and data management challenges, while existing global models often lack the detailed process representation and high spatial resolution needed for comprehensive hydrological analysis.

  generalabstractevidence 5/5
  Keywords: global despite widespread implementation swat currently lacking computational demands management challenges existing models often lack
• Climate change impacts on the Chiffa basin (northern Algeria) using bias-corrected RCM data (2024) · Frontiers in Water · cited 6× · doi

  The study identifies the challenge of providing reliable hydrological projections in semi-arid climates. The issue of significant uncertainties and biases in RCM data is highlighted. The need for improved irrigation efficiency, water storage infrastructure, and drought-resistant agricultural practices is noted.

  generalstated challengesevidence 5/5
  Keywords: study identifies challenge providing reliable hydrological projections semi-arid

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