Articles | Volume 14, issue 11
https://doi.org/10.5194/gmd-14-6893-2021
© 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/gmd-14-6893-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
15 Nov 2021
Model description paper |
| 15 Nov 2021
DRYP 1.0: a parsimonious hydrological model of DRYland Partitioning of the water balance
E. Andrés Quichimbo
CORRESPONDING AUTHOR
School of Earth and Environmental Sciences, Cardiff University,
Cardiff, CF10 3AT, UK
Michael Bliss Singer
School of Earth and Environmental Sciences, Cardiff University,
Cardiff, CF10 3AT, UK
Water Research Institute, Cardiff University, Cardiff, CF10 3AX, UK
Earth Research Institute, University of California Santa Barbara,
Santa Barbara, California, USA
Katerina Michaelides
School of Geographical Sciences, University of Bristol, Bristol, BS8 1SS, UK
Earth Research Institute, University of California Santa Barbara,
Santa Barbara, California, USA
Cabot Institute for the Environment, University of Bristol, Bristol, BS8 1QU, UK
Daniel E. J. Hobley
School of Earth and Environmental Sciences, Cardiff University,
Cardiff, CF10 3AT, UK
ADAS RSK Ltd, Bristol, BS3 4EB, UK
Rafael Rosolem
Cabot Institute for the Environment, University of Bristol, Bristol, BS8 1QU, UK
Faculty of Engineering, University of Bristol, Clifton, BS8 1TR, UK
Mark O. Cuthbert
School of Earth and Environmental Sciences, Cardiff University,
Cardiff, CF10 3AT, UK
Water Research Institute, Cardiff University, Cardiff, CF10 3AX, UK
School of Civil and Environmental Engineering, The University of New
South Wales, Sydney, New South Wales, Australia
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Cited
12 citations as recorded by crossref.
- Translating seasonal climate forecasts into water balance forecasts for decision making D. MacLeod et al. 10.1371/journal.pclm.0000138
- Modeling seasonal vegetation phenology from hydroclimatic drivers for contrasting plant functional groups within drylands of the Southwestern USA M. Warter et al. 10.1088/2752-664X/acb9a0
- Ground truthing global-scale model estimates of groundwater recharge across Africa C. West et al. 10.1016/j.scitotenv.2022.159765
- Modelling daily transmission losses in basin‐scale river system models under changing hydrological regimes S. Kim et al. 10.1002/hyp.14625
- A coupled agent-based model to analyse human-drought feedbacks for agropastoralists in dryland regions I. Streefkerk et al. 10.3389/frwa.2022.1037971
- Distinct Hydrologic Pathways Regulate Perennial Surface Water Dynamics in a Hyperarid Basin S. McKnight et al. 10.1029/2022WR034046
- Focused groundwater recharge in a tropical dryland: Empirical evidence from central, semi-arid Tanzania D. Seddon et al. 10.1016/j.ejrh.2021.100919
- Ground Truthing Global-Scale Model Estimates of Groundwater Recharge Across Africa C. West et al. 10.2139/ssrn.4184338
- stoPET v1.0: a stochastic potential evapotranspiration generator for simulation of climate change impacts D. Asfaw et al. 10.5194/gmd-16-557-2023
- Propagation from meteorological to hydrological drought in the Horn of Africa using both standardized and threshold-based indices R. Odongo et al. 10.5194/nhess-23-2365-2023
- Understanding process controls on groundwater recharge variability across Africa through recharge landscapes C. West et al. 10.1016/j.jhydrol.2022.127967
- DRYP 1.0: a parsimonious hydrological model of DRYland Partitioning of the water balance E. Quichimbo et al. 10.5194/gmd-14-6893-2021
11 citations as recorded by crossref.
- Translating seasonal climate forecasts into water balance forecasts for decision making D. MacLeod et al. 10.1371/journal.pclm.0000138
- Modeling seasonal vegetation phenology from hydroclimatic drivers for contrasting plant functional groups within drylands of the Southwestern USA M. Warter et al. 10.1088/2752-664X/acb9a0
- Ground truthing global-scale model estimates of groundwater recharge across Africa C. West et al. 10.1016/j.scitotenv.2022.159765
- Modelling daily transmission losses in basin‐scale river system models under changing hydrological regimes S. Kim et al. 10.1002/hyp.14625
- A coupled agent-based model to analyse human-drought feedbacks for agropastoralists in dryland regions I. Streefkerk et al. 10.3389/frwa.2022.1037971
- Distinct Hydrologic Pathways Regulate Perennial Surface Water Dynamics in a Hyperarid Basin S. McKnight et al. 10.1029/2022WR034046
- Focused groundwater recharge in a tropical dryland: Empirical evidence from central, semi-arid Tanzania D. Seddon et al. 10.1016/j.ejrh.2021.100919
- Ground Truthing Global-Scale Model Estimates of Groundwater Recharge Across Africa C. West et al. 10.2139/ssrn.4184338
- stoPET v1.0: a stochastic potential evapotranspiration generator for simulation of climate change impacts D. Asfaw et al. 10.5194/gmd-16-557-2023
- Propagation from meteorological to hydrological drought in the Horn of Africa using both standardized and threshold-based indices R. Odongo et al. 10.5194/nhess-23-2365-2023
- Understanding process controls on groundwater recharge variability across Africa through recharge landscapes C. West et al. 10.1016/j.jhydrol.2022.127967
1 citations as recorded by crossref.
Latest update: 24 Sep 2023
Short summary
Understanding and quantifying water partitioning in dryland regions are of key importance to anticipate the future impacts of climate change in water resources and dryland ecosystems. Here, we have developed a simple hydrological model (DRYP) that incorporates the key processes of water partitioning in drylands. DRYP is a modular, versatile, and parsimonious model that can be used to anticipate and plan for climatic and anthropogenic changes to water fluxes and storage in dryland regions.
Understanding and quantifying water partitioning in dryland regions are of key importance to...
