Articles | Volume 25, issue 1
https://doi.org/10.5194/hess-25-147-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-147-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
07 Jan 2021
Research article |
| 07 Jan 2021
| 07 Jan 2021
The role and value of distributed precipitation data in hydrological models
Karlsruhe Institute of Technology (KIT), Institute of Water and
River Basin Management, Karlsruhe, Germany
Markus Hrachowitz
Delft University of Technology, Faculty of Civil Engineering and
Geosciences, Delft, the Netherlands
Malte Neuper
Karlsruhe Institute of Technology (KIT), Institute of Water and
River Basin Management, Karlsruhe, Germany
Erwin Zehe
Karlsruhe Institute of Technology (KIT), Institute of Water and
River Basin Management, Karlsruhe, Germany
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Cited
16 citations as recorded by crossref.
- Impact of distributed meteorological forcing on simulated snow cover and hydrological fluxes over a mid-elevation alpine micro-scale catchment A. Gupta et al. 10.5194/hess-27-191-2023
- Catchment response to intense rainfall: Evaluating modelling hypotheses P. Astagneau et al. 10.1002/hyp.14676
- The Impact of Meteorological Forcing Uncertainty on Hydrological Modeling: A Global Analysis of Cryosphere Basins G. Tang et al. 10.1029/2022WR033767
- When does a parsimonious model fail to simulate floods? Learning from the seasonality of model bias P. Astagneau et al. 10.1080/02626667.2021.1923720
- A Method for Merging Multi-Source Daily Satellite Precipitation Datasets and Gauge Observations over Poyang Lake Basin, China N. Zhao 10.3390/rs15092407
- An Effective Algorithm of Outlier Correction in Space–Time Radar Rainfall Data Based on the Iterative Localized Analysis Y. Kim et al. 10.1109/TGRS.2024.3366400
- A study of the influence of rainfall datasets' spatial resolution on stream simulation in Chaliyar River Basin, India S. Senan et al. 10.2166/wcc.2022.273
- Improving daily precipitation estimations in a high mountainous watershed by developing a new downscaling method with spatially varying coefficients N. Zhao & X. Wu 10.1016/j.jhydrol.2023.130367
- Towards an Optimal Representation of Sub‐Grid Heterogeneity in Land Surface Models L. Torres‐Rojas et al. 10.1029/2022WR032233
- Evaluation of Satellite Rainfall Products over the Mahaweli River Basin in Sri Lanka H. Perera et al. 10.1155/2022/1926854
- Leveraging sap flow data in a catchment-scale hybrid model to improve soil moisture and transpiration estimates R. Loritz et al. 10.5194/hess-26-4757-2022
- Flood forecasting based on radar precipitation nowcasting using U-net and its improved models J. Li et al. 10.1016/j.jhydrol.2024.130871
- Preferential pathways for fluid and solutes in heterogeneous groundwater systems: self-organization, entropy, work E. Zehe et al. 10.5194/hess-25-5337-2021
- The Role of Weather Radar in Rainfall Estimation and Its Application in Meteorological and Hydrological Modelling—A Review Z. Sokol et al. 10.3390/rs13030351
- Stable water isotopes and tritium tracers tell the same tale: no evidence for underestimation of catchment transit times inferred by stable isotopes in StorAge Selection (SAS)-function models S. Wang et al. 10.5194/hess-27-3083-2023
- Combining APHRODITE Rain Gauges-Based Precipitation with Downscaled-TRMM Data to Translate High-Resolution Precipitation Estimates in the Indus Basin R. Noor et al. 10.3390/rs15020318
15 citations as recorded by crossref.
- Impact of distributed meteorological forcing on simulated snow cover and hydrological fluxes over a mid-elevation alpine micro-scale catchment A. Gupta et al. 10.5194/hess-27-191-2023
- Catchment response to intense rainfall: Evaluating modelling hypotheses P. Astagneau et al. 10.1002/hyp.14676
- The Impact of Meteorological Forcing Uncertainty on Hydrological Modeling: A Global Analysis of Cryosphere Basins G. Tang et al. 10.1029/2022WR033767
- When does a parsimonious model fail to simulate floods? Learning from the seasonality of model bias P. Astagneau et al. 10.1080/02626667.2021.1923720
- A Method for Merging Multi-Source Daily Satellite Precipitation Datasets and Gauge Observations over Poyang Lake Basin, China N. Zhao 10.3390/rs15092407
- An Effective Algorithm of Outlier Correction in Space–Time Radar Rainfall Data Based on the Iterative Localized Analysis Y. Kim et al. 10.1109/TGRS.2024.3366400
- A study of the influence of rainfall datasets' spatial resolution on stream simulation in Chaliyar River Basin, India S. Senan et al. 10.2166/wcc.2022.273
- Improving daily precipitation estimations in a high mountainous watershed by developing a new downscaling method with spatially varying coefficients N. Zhao & X. Wu 10.1016/j.jhydrol.2023.130367
- Towards an Optimal Representation of Sub‐Grid Heterogeneity in Land Surface Models L. Torres‐Rojas et al. 10.1029/2022WR032233
- Evaluation of Satellite Rainfall Products over the Mahaweli River Basin in Sri Lanka H. Perera et al. 10.1155/2022/1926854
- Leveraging sap flow data in a catchment-scale hybrid model to improve soil moisture and transpiration estimates R. Loritz et al. 10.5194/hess-26-4757-2022
- Flood forecasting based on radar precipitation nowcasting using U-net and its improved models J. Li et al. 10.1016/j.jhydrol.2024.130871
- Preferential pathways for fluid and solutes in heterogeneous groundwater systems: self-organization, entropy, work E. Zehe et al. 10.5194/hess-25-5337-2021
- The Role of Weather Radar in Rainfall Estimation and Its Application in Meteorological and Hydrological Modelling—A Review Z. Sokol et al. 10.3390/rs13030351
- Stable water isotopes and tritium tracers tell the same tale: no evidence for underestimation of catchment transit times inferred by stable isotopes in StorAge Selection (SAS)-function models S. Wang et al. 10.5194/hess-27-3083-2023
Latest update: 29 Jun 2024
Short summary
This study investigates the role and value of distributed rainfall in the runoff generation of a mesoscale catchment. We compare the performance of different hydrological models at different periods and show that a distributed model driven by distributed rainfall yields improved performances only during certain periods. We then step beyond this finding and develop a spatially adaptive model that is capable of dynamically adjusting its spatial model structure in time.
This study investigates the role and value of distributed rainfall in the runoff generation of a...
