Achieving water budget closure through physical hydrological process modelling: insights from a large-sample study
<p>Modern hydrology is embracing a data-intensive new era, with information from diverse sources currently providing support for hydrological inferences at broader scales. This results in a plethora of data-reliability-related challenges that remain unsolved. The water budget non-closure is a...
Saved in:
Main Authors: | X. Zheng, D. Liu, S. Huang, H. Wang, X. Meng |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2025-02-01
|
Series: | Hydrology and Earth System Sciences |
Online Access: | https://hess.copernicus.org/articles/29/627/2025/hess-29-627-2025.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Lack of robustness of hydrological models: a large-sample diagnosis and an attempt to identify hydrological and climatic drivers
by: L. Santos, et al.
Published: (2025-02-01) -
Improving Budget Transparency to Achieve Effective and Sustainable Governance
by: Tatjana Stanimirović
Published: (2022-11-01) -
Hydrological insights: Comparative analysis of gridded potential evapotranspiration products for hydrological simulations and drought assessment
by: Mohammed Abdallah, et al.
Published: (2025-02-01) -
INTERCOMPARISON OF PROCESS-BASED PHYSICAL AND MATHEMATICAL HYDROLOGICAL MODELS IN DATA-SCARCE SEMI-ARID REGION OF ERITREA
by: Dmitry V. Kozlov, et al.
Published: (2021-02-01) -
Multi-objective assessment of hydrological model performances using Nash–Sutcliffe and Kling–Gupta efficiencies on a worldwide large sample of watersheds
by: Mathevet, Thibault, et al.
Published: (2023-01-01)