The taylor diagram (temperature against vapor pressure) for air mixtures

Montgomery, R. B.

doi:10.1007/bf02247913

Cited by 8 publications

(3 citation statements)

References 23 publications

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“…Taylor (1917) and Montgomery (1950)] is a polar plot to compare two time series, usually an observationsimulation pair. The angle depicts correlation ranging from 0 ( y axis) to 1 (x axis).…”

Section: A Local Versus Regionalmentioning

confidence: 99%

Surface Wind Regionalization over Complex Terrain: Evaluation and Analysis of a High-Resolution WRF Simulation

Jiménez

González-Rouco²,

García‐Bustamante

et al. 2010

Journal of Applied Meteorology and Climatology

110

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This study analyzes the daily-mean surface wind variability over an area characterized by complex topography through comparing observations and a 2-km-spatial-resolution simulation performed with the Weather Research and Forecasting (WRF) model for the period 1992-2005. The evaluation focuses on the performance of the simulation to reproduce the wind variability within subregions identified from observations over the 1999-2002 period in a previous study. By comparing with wind observations, the model results show the ability of the WRF dynamical downscaling over a region of complex terrain. The higher spatiotemporal resolution of the WRF simulation is used to evaluate the extent to which the length of the observational period and the limited spatial coverage of observations condition one's understanding of the wind variability over the area. The subregions identified with the simulation during the 1992-2005 period are similar to those identified with observations (1999)(2000)(2001)(2002). In addition, the reduced number of stations reasonably represents the spatial wind variability over the area. However, the analysis of the full spatial dimension simulated by the model suggests that observational coverage could be improved in some subregions. The approach adopted here can have a direct application to the design of observational networks.

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Section: A Local Versus Regionalmentioning

confidence: 99%

Surface Wind Regionalization over Complex Terrain: Evaluation and Analysis of a High-Resolution WRF Simulation

Jiménez

González-Rouco²,

García‐Bustamante

et al. 2010

Journal of Applied Meteorology and Climatology

110

View full text Add to dashboard Cite

show abstract

“…The relation between different patterns has been identified byconsidering the nature of the correlation, root mean square error (RMSE) and degree of variations. The degree of variations has been estimated byconsidering the standard deviations [84]. The location of an individualpointappearing on the plot evaluates the estimatedpattern of gully erosion susceptibility modelwhich coincides with the observed information.…”

Section: Gully Erosion Susceptibility Modelingmentioning

confidence: 93%

Novel Ensemble of Multivariate Adaptive Regression Spline with Spatial Logistic Regression and Boosted Regression Tree for Gully Erosion Susceptibility

et al. 2020

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The extreme form of land degradation through different forms of erosion is one of the major problems in sub-tropical monsoon dominated region. The formation and development of gullies is the dominant form or active process of erosion in this region. So, identification of erosion prone regions is necessary for escaping this type of situation and maintaining the correspondence between different spheres of the environment. The major goal of this study is to evaluate the gully erosion susceptibility in the rugged topography of the Hinglo River Basin of eastern India, which ultimately contributes to sustainable land management practices. Due to the nature of data instability, the weakness of the classifier andthe ability to handle data, the accuracy of a single method is not very high. Thus, in this study, a novel resampling algorithm was considered to increase the robustness of the classifier and its accuracy. Gully erosion susceptibility maps have been prepared using boosted regression trees (BRT), multivariate adaptive regression spline (MARS) and spatial logistic regression (SLR) with proposed resampling techniques. The re-sampling algorithm was able to increase the efficiency of all predicted models by improving the nature of the classifier. Each variable in the gully inventory map was randomly allocated with 5-fold cross validation, 10-fold cross validation, bootstrap and optimism bootstrap, while each consisted of 30% of the database. The ensemble model was tested using 70% and validated with the other 30% using the K-fold cross validation (CV) method to evaluate the influence of the random selection of training and validation database. Here, all resampling methods are associated with higher accuracy, but SLR bootstrap optimism is more optimal than any other methods according to its robust nature. The AUC values of BRT optimism bootstrap, MARS optimism bootstrap and SLR optimism bootstrap are 87.40%, 90.40% and 90.60%, respectively. According to the SLR optimism bootstrap, the 107,771 km2 (27.51%) area of this region is associated with a very high to high susceptible to gully erosion. This potential developmental area of the gully was found primarily in the Hinglo River Basin, where lateral exposure was mainly observed with scarce vegetation. The outcome of this work can help policy-makers to implement remedial measures to minimize the damage caused by erosion of the gully.

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“…The temperature-salinity diagram is but one of the oceanographic and meteorological class that has been called characteristic diagrams (Montgomery, 1950). all of which would be suitable for the representation of frequency distributions.…”

Section: Discussionmentioning

confidence: 99%

Papers in marine biology and oceanography, dedicated to Henry Bryant Bigelow by his former students and associates on the occasion of the twenty-fifth anniversary of the founding of the Woods Hole Oceanographic Institution, 1955.

1955

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Damage to fish food species trawled over in the main area of the North Sea plaice, cannot be serious; otherwise there would be a noticeable diflFcrence where trawling is impossible, as close to light vessels or among the under-water sand dunes.Direct attack, covering the ground some five or six times over on the average, did break full-grown Heart Urchins, Echinocardium cordatum, and possibly swimming or paddlcr crabs (Portunus dcpuraior), but appeared not to damage Ophiura albida, nor any of the fragile-shelled plaice food animals: razor shells, Mactra or Tellina. Those forms were not very abundant, but all the 15 specimens taken of fragile animals (other than urchins and paddlers) were undamaged. Such large urchins as were damaged were not plaice food. Doubtless Sabellaria habitations (ross) would be broken and laid low, but they would probably soon be reconstructed.Trawling, even with a tickler chain, seems again to escape the so viable indictment.

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The taylor diagram (temperature against vapor pressure) for air mixtures

Cited by 8 publications

References 23 publications

Surface Wind Regionalization over Complex Terrain: Evaluation and Analysis of a High-Resolution WRF Simulation

Surface Wind Regionalization over Complex Terrain: Evaluation and Analysis of a High-Resolution WRF Simulation

Novel Ensemble of Multivariate Adaptive Regression Spline with Spatial Logistic Regression and Boosted Regression Tree for Gully Erosion Susceptibility

Papers in marine biology and oceanography, dedicated to Henry Bryant Bigelow by his former students and associates on the occasion of the twenty-fifth anniversary of the founding of the Woods Hole Oceanographic Institution, 1955.

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