Results of the DMIP 2 Oklahoma experiments

Smith, Michael; Koren, Victor; Zhang, Ziya; Zhang, Yu; Reed, Seann; Cui, Zhengtao; Moreda, Fekadu; Cosgrove, B.; Mizukami, Naoki; Anderson, Eric A.

doi:10.1016/j.jhydrol.2011.08.056

Cited by 104 publications

(76 citation statements)

References 107 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A nice example of this is provided by De Smedt et al (2000), who implement such reasoning in regards to the parameter values (based on an understanding of the physical structure of the model) and obtain quite good model simulation results without resorting to any "calibration". In support of this, note that Safari et al (2012) reported satisfactory results using an uncalibrated WetSpa, with only minor improvements obtained through calibration (see also Smith et al, 2012). De Smedt (2009, 2010) reported results of the snow modules of the WetSpa model using preset values with no calibration.…”

mentioning

confidence: 73%

HESS Opinions: Advocating process modeling and de-emphasizing parameter estimation

Bahremand

2016

Hydrol. Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. Since its origins as an engineering discipline, with its widespread use of "black box" (empirical) modeling approaches, hydrology has evolved into a scientific discipline that seeks a more "white box" (physics-based) modeling approach to solving problems such as the description and simulation of the rainfall-runoff responses of a watershed. There has been much recent debate regarding the future of the hydrological sciences, and several publications have voiced opinions on this subject. This opinion paper seeks to comment and expand upon some recent publications that have advocated an increased focus on process-based modeling while de-emphasizing the focus on detailed attention to parameter estimation. In particular, it offers a perspective that emphasizes a more hydraulic (more physics-based and less empirical) approach to development and implementation of hydrological models.

show abstract

mentioning

confidence: 73%

HESS Opinions: Advocating process modeling and de-emphasizing parameter estimation

Bahremand

2016

Hydrol. Earth Syst. Sci.

View full text Add to dashboard Cite

show abstract

“…Reed et al, 2004;Breuer et al, 2009;Smith et al, 2012;Lobligeois et al, 2014;Maxwell et al, 2015;Vansteenkiste et al, 2014), there is surprisingly little fruitful exchange between the different modelling communities who start their model development from the two contrasting endpoints in the resolution-complexity continuum. Models at the lowresolution and low-complexity end of the continuum are criticized for lacking a robust physical or theoretical basis and for their inability to meaningfully represent spatial patterns (e.g.…”

Section: Introductionmentioning

confidence: 99%

HESS Opinions: The complementary merits of competing modelling philosophies in hydrology

Hrachowitz

Clark

2017

Hydrol. Earth Syst. Sci.

183

130

View full text Add to dashboard Cite

Abstract. In hydrology, two somewhat competing philosophies form the basis of most process-based models. At one endpoint of this continuum are detailed, high-resolution descriptions of small-scale processes that are numerically integrated to larger scales (e.g. catchments). At the other endpoint of the continuum are spatially lumped representations of the system that express the hydrological response via, in the extreme case, a single linear transfer function. Many other models, developed starting from these two contrasting endpoints, plot along this continuum with different degrees of spatial resolutions and process complexities. A better understanding of the respective basis as well as the respective shortcomings of different modelling philosophies has the potential to improve our models. In this paper we analyse several frequently communicated beliefs and assumptions to identify, discuss and emphasize the functional similarity of the seemingly competing modelling philosophies. We argue that deficiencies in model applications largely do not depend on the modelling philosophy, although some models may be more suitable for specific applications than others and vice versa, but rather on the way a model is implemented. Based on the premises that any model can be implemented at any desired degree of detail and that any type of model remains to some degree conceptual, we argue that a convergence of modelling strategies may hold some value for advancing the development of hydrological models.

show abstract

“…Since the hydrological response of a basin is very sensitive to the spatio-temporal variability in various physical attributes of soil, land use, and topography, hydrological models that consider the spatial variability are better suited for accurate flood simulation and predictions [23][24][25]. Distributed hydrologic models can also provide a detailed description of the flood hazard areas, especially in urban catchments [26].…”

Section: Introductionmentioning

confidence: 99%

“…Physically based, distributed models employ a gridded nature, which allows parameters to be constrained within certain ranges that have clear physical meanings. Recent research demonstrated that physically-based, distributed hydrologic models can potentially perform as well as-or outperform-calibrated conceptual, lumped models [24][25][26][27]. The physically-based Gridded Surface Subsurface Hydrologic Analysis (GSSHA) model is an example of a grid-based fully-distributed hydrologic models [28].…”

Section: Introductionmentioning

confidence: 99%

Physically, Fully-Distributed Hydrologic Simulations Driven by GPM Satellite Rainfall over an Urbanizing Arid Catchment in Saudi Arabia

Sharif

Al-Zahrani

Hassan

2017

Water

View full text Add to dashboard Cite

Abstract:A physically-based, distributed-parameter hydrologic model was used to simulate a recent flood event in the city of Hafr Al Batin, Saudi Arabia to gain a better understanding of the runoff generation and spatial distribution of flooding. The city is located in a very arid catchment. Flooding of the city is influenced by the presence of three major tributaries that join the main channel in and around the heavily urbanized area. The Integrated Multi-satellite Retrievals for Global Precipitation Measurement Mission (IMERG) rainfall product was used due to lack of detailed ground observations. To overcome the heavy computational demand, the catchment was divided into three sub-catchments with a variable model grid resolution. The model was run on three sub-catchments separately, without losing hydrologic connectivity among the sub-catchments. Uncalibrated and calibrated satellite products were used producing different estimates of the predicted runoff. The runoff simulations demonstrated that 85% of the flooding was generated in the urbanized portion of the catchments for the simulated flood. Additional model simulations were performed to understand the roles of the unique channel network in the city flooding. The simulations provided insights into the best options for flood mitigation efforts. The variable model grid size approach allowed using physically-based, distributed models-such as the Gridded Surface Subsurface Hydrologic Analysis (GSSHA) model used in this study-on large basins that include urban centers that need to be modeled at very high resolutions.

show abstract

Results of the DMIP 2 Oklahoma experiments

Cited by 104 publications

References 107 publications

HESS Opinions: Advocating process modeling and de-emphasizing parameter estimation

HESS Opinions: Advocating process modeling and de-emphasizing parameter estimation

HESS Opinions: The complementary merits of competing modelling philosophies in hydrology

Physically, Fully-Distributed Hydrologic Simulations Driven by GPM Satellite Rainfall over an Urbanizing Arid Catchment in Saudi Arabia

Contact Info

Product

Resources

About