Journal Article10.1080/02723646.1981.10642213
On the validation of models
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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.
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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...
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Citations
Development and evaluation of a new Canadian spring wheat sub-model for DNDC
Roland Kröbel,Ward Smith,Brian Grant,Raymond L. Desjardins,C. A. Campbell,Nicolas Tremblay,Changsheng Li,Robert P. Zentner,Brian McConkey +8 more
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High-resolution dynamical downscaling of ERA-Interim temperature and precipitation using WRF model for Greece
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Offshore wind can power Canada
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Evaluation of IMERG and ERA5 precipitation products over the Mongolian Plateau
TL;DR: In this paper , the authors evaluated the performance of three IMERG V06 datasets (ER, LR and FR), two ERA5 products (ERA5-HRES and ERA5-Land), and their predecessors (TMPA-3B42 and ERA-Interim) over the region across 2001-2018.
Spatial modelling of summer climate indices based on local climate zones: expected changes in the future climate of Brno, Czech Republic
TL;DR: In this paper, the authors present the modelled spatial distribution of two daytime (summer days, hot days), and two night-time (warm nights and tropical nights) summer climate indices in the recent and future climate of the urban environment of Brno, Czech Republic, within the framework of local climate zones (LCZs).
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References
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A numerical solar radiation model based on standard meteorological observations
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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.
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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.
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