Sentences with phrase «model calibration»
Model calibration refers to the process of making adjustments or fine-tuning a model to ensure that its predictions or results align as closely as possible with the real world observations or data. It involves tweaking the model's parameters or inputs to improve its accuracy or match the expected outcomes. In simple terms, model calibration means adjusting a model to make it more accurate and reliable. Full definition
To what extent was this taken account of in climate model calibration?
realclimate.org
Timing of input for operational events may be different than timing of imput used in model calibration.
(The description of our factor construction methodology is available in Appendix B.) We use the first 24 years of data (Jan 1967 — Dec 1990) in the initial model calibration, encompassing several valuation cycles, and use the remaining data (Jan 1991 — Oct 2011) to run the model comparison.
Using structural alpha instead of the in - sample fit intercept should make the model less sensitive to trending valuations in the period of model calibration and to valuation ratio distribution uncertainty.
«Abstract Model calibration (or «tuning») is a necessary part of developing and testing coupled ocean - atmosphere climate models regardless of their main scientific purpose.
An equatorial volcano occurring during that period would allow much better model calibration, for example, settling questions about transient climate response.
More empirical data is needed to reconstruct spatiotemporal changes in the MRE, allowing model calibration and correlation with a changing climate.
This model is a simple and intuitive valuation - dependent model, as illustrated by the log - linear line of best fit in Figure 1.3 At each point in time, we calibrate the model only to the historically observed data available at that time; no look - ahead information is in the model calibration.
The period 1981 — 2000 is used for model calibration and 2001 — 2010 for validation, with performance assessed in terms of 27 Climate Extremes Indices (CLIMDEX).
Because of this, we attempt to be as «conservative» in our model calibration as possible; that is, we assign very high values of damages and risks of SGE, in order to bias our results against SGE deployment.