Journal Article10.1080/02723646.1981.10642213
On the validation of models
4.3K
TL;DR: In this paper, it is suggested that the correlation coefficieness between observed and simulated variates is not as good as observed variates, and that correlation can be improved.
read more
Abstract: Traditional methods of evaluating geographic models by statistical comparisons between observed and simulated variates are criticized. In particular, it is suggested that the correlation coefficien...
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Nonlinear modeling of ultimate strength and strain of FRP-confined concrete using chaos control method
TL;DR: In this article, a general nonlinear regression model is proposed to predict the ultimate conditions of fiber-reinforced polymer (FRP)-confined concrete based on an iterative chaos control method (CCM).
35
Generalization of ETo ANN Models through Data Supplanting
TL;DR: In this paper, the application of artificial neural networks (ANNs) for estimating reference evapotranspiration (ETo ) as a function of local maximum and minimum air temperatures as well as exogenous relative humidity and reference ETo in different continental contexts of the autonomous Valencia region, on the Spanish Mediterranean coast.
35
Wave breaking in the surf zone and deep-water in a non-hydrostatic RANS model. Part 2: Turbulence and mean circulation
TL;DR: In this article, NHWAVE is used to predict the structure of the mean velocity and vorticity fields including large-scale breaking-induced coherent vortices in deep-water breaking events, where the absence of turbulence-induced eddy viscosity results in the overprediction of the velocity and volumetric field in the breaking region.
35
Drought prediction with standardized precipitation and evapotranspiration index and support vector regression models
Ravinesh C. Deo,Sancho Salcedo-Sanz,L. Carro-Calvo,B. Saavedra-Moreno,B. Saavedra-Moreno +4 more
- 01 Jan 2018
TL;DR: In this article, the authors present a case study on the critical phases of disaster management, including mitigation as part of the recovery process after a disaster, as in the case of the Nepal earthquake.
35
Numerical simulation of Cd(II) removal by ostrich bone ash supported nanoscale zero-valent iron in a fixed-bed column system: Utilization of unsteady advection-dispersion-adsorption equation
TL;DR: In this article, a rigorous model based on the numerical simulation of one-dimensional, unsteady of advection-dispersion-adsorption equation (UADAE) solved by the implicit finite difference method (IFDM), has been employed to simulate the dynamic adsorption of Cd(II) ions on ostrich bone ash (OBA)/nanoscale zerovalent iron particles (nZVI) composite in a fixed-bed column system.
35
References
Variations of Box Plots
TL;DR: Box plots as mentioned in this paper display batches of data and use five values from a set of data: the extremes, the upper and lower hinges (quartiles), and the median, commonly used for exploratory data analysis and in preparing visual summaries.
2.4K
An improved equation for estimating long-wave radiation from the atmosphere
TL;DR: In this paper, an equation that predicts downcoming long-wave radiation from clear skies on the basis of screen air temperature and vapor pressure has been developed, which fits measured data at extremes of temperature and humidity better than existing equations, and exhibits comparable accuracy at intermediate values.
215
An Empirical Method for the Spatial Interpolation of Monthly Precipitation within California
Cort J. Willmott,Donald E. Wicks +1 more
TL;DR: In this paper, an empirical method for interpolating monthly precipitation totals within California is described and evaluated using 120 monthly precipitation total observed from 1961-1970 at each of 90 randomly selected stations in California and a P-mode principal components analysis of a co-variance matrix, four independent sources of precipitation variability were identified and quantitatively paraphrased.
203
A numerical solar radiation model based on standard meteorological observations
M.A. Atwater,J.T. Ball +1 more
TL;DR: In this article, a numerical model based on standard meteorological data, as described above, can be used to extend the data base for design purposes, and the model is used to compute the amount of direct solar flux.
154
Fitting straight lines when both variables are subject to error.
TL;DR: In this paper, the maximum likelihood estimators of α and β under functional and structural models are discussed, and the least square procedure is also considered, leading to a quadratic equation which can be solved to give an estimate of β.
44