Implementing the Water, HEat and Transport model in GEOframe WHETGEO-1D v.1.0: algorithms, informatics, design patterns, open science features, and 1D deployment

Tubini, Niccolo'; Rigon, Riccardo

doi:10.5194/gmd-2021-163

Cited by 3 publications

(1 citation statement)

References 64 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As these fluxes all sample water from different pools in different parts of the system, they are likely to interact with and affect the hydrological system in different ways. Because integrated modeling approaches that simulate the continuum soil‐plant‐atmosphere—and not only the hydrologic response—are increasingly available (e.g., O'Neill et al., 2021; Tubini & Rigon, 2021), they can be used to improve transit time estimates. A very specific class of processes that has remained elusive to quantification at larger scales is vertical or lateral hydraulic redistribution (Domec et al., 2010; Hafner et al., 2021) of water through root systems and mycorrhizae (Prieto et al., 2012; Sardans & Peñuelas, 2014).…”

Section: Going Forwardmentioning

confidence: 99%

Transit Time Estimation in Catchments: Recent Developments and Future Directions

Benettin

Rodriguez

Sprenger

et al. 2022

Water Resources Research

View full text Add to dashboard Cite

The transit time of water in catchments is a fundamental descriptor of catchment behavior. If we think of "age" as a label that is attached to any water particle resident within a hydrologic system (e.g., a catchment) and that tracks the time elapsed since arrival (e.g., as precipitation), the transit time is the particle's age when it leaves the system (e.g., as discharge or evapotranspiration). While slow to gain ground as a standard metric, transit times and their analyses now abound in the literature due in part to the increased availability of tracer data used to estimate water transit times. As a result, transit time is now a common means to improve process representation in models and a strong test of model output realism. Once, the review presented in McGuire and McDonnell (2006) was the starting point for newcomers interested in getting to grips with catchment transit time modeling. However, the explosion of the transit time literature since the mid-2000s-with new studies, terminology, theory, and mathematical approaches-means a newcomer to the field now is met with the challenge of absorbing these developments and harmonizing them with earlier approaches.Over the last ∼15 yr, there have indeed been departures and advancements beyond what was summarized by McGuire and McDonnell (2006). That review provided the first "evaluation and review of the transit time literature in the context of catchments and water transit time estimation". It was motivated by "new and emerging interests in transit time estimation in catchment hydrology and the need to distinguish approaches and assumptions used in groundwater applications from catchment applications". At that time, hydrologists were mainly using time-invariant, lumped parameter transit time approaches largely focused on low temporal resolution

show abstract

Section: Going Forwardmentioning

confidence: 99%

Transit Time Estimation in Catchments: Recent Developments and Future Directions

Benettin

Rodriguez

Sprenger

et al. 2022

Water Resources Research

View full text Add to dashboard Cite

show abstract

Classification, deconstruction and evaluation of frost heave models: How modeling methods cause simulation error

Cheng¹,

Engel²,

Wu³

et al. 2022

Journal of Hydrology

View full text Add to dashboard Cite

Comparing Evapotranspiration Estimates from the GEOframe-Prospero Model with Penman–Monteith and Priestley-Taylor Approaches under Different Climate Conditions

Bottazzi

Bancheri

Mobilia

et al. 2021

Water

View full text Add to dashboard Cite

Evapotranspiration (ET) is a key variable in the hydrological cycle and it directly impacts the surface balance and its accurate assessment is essential for a correct water management. ET is difficult to measure, since the existing methods for its direct estimate, such as the weighing lysimeter or the eddy-covariance system, are often expensive and require well-trained research personnel. To overcome this limit, different authors developed experimental models for indirect estimation of ET. However, since the accuracy of ET prediction is crucial from different points of view, the continuous search for more and more precise modeling approaches is encouraged. In light of this, the aim of the present work is to test the efficiency in predicting ET fluxes in a newly introduced physical-based model, named Prospero, which is based on the ability to compute the ET using a multi-layer canopy model, solving the energy balance both for the sunlight and shadow vegetation, extending the recently developed Schymanski and Or method to canopy level. Additionally, Prospero is able to compute the actual ET using a Jarvis-like model. The model is integrated as a component in the hydrological modelling system GEOframe. Its estimates were validated against observed data from five Eddy covariance (EC) sites with different climatic conditions and the same vegetation cover. Then, its performances were compared with those of two already consolidated models, the Priestley–Taylor model and Penman FAO model, using four goodness-of-fit indices. Subsequently a calibration of the three methods has been carried out using LUCA calibration within GEOframe, with the purpose of prediction errors. The results showed that Prospero is more accurate and precise with respect to the other two models, even if no calibrations were performed, with better performances in dry climatic conditions. In addition, Prospero model turned to be the least affected by the calibration procedure and, therefore, it can be effectively also used in a context of data scarcity.

show abstract

Implementing the Water, HEat and Transport model in GEOframe WHETGEO-1D v.1.0: algorithms, informatics, design patterns, open science features, and 1D deployment

Cited by 3 publications

References 64 publications

Transit Time Estimation in Catchments: Recent Developments and Future Directions

Transit Time Estimation in Catchments: Recent Developments and Future Directions

Classification, deconstruction and evaluation of frost heave models: How modeling methods cause simulation error

Comparing Evapotranspiration Estimates from the GEOframe-Prospero Model with Penman–Monteith and Priestley-Taylor Approaches under Different Climate Conditions

Contact Info

Product

Resources

About