Sentences with phrase «model bias correction»

Regional climate model bias correction improved the estimates on changes to future mean runoff

Regional climate model bias correction improved the estimates on changes to future mean runoff

Not exact matches

When it comes to model performance, there is a concept known as «bias correction» that was debated.

In this case, there has been an identification of a host of small issues (and, in truth, there are always small issues in any complex field) that have involved the fidelity of the observations (the spatial coverage, the corrections for known biases), the fidelity of the models (issues with the forcings, examinations of the variability in ocean vertical transports etc.), and the coherence of the model - data comparisons.

Progress in the longer term depends on identifying and correcting model biases, accumulating as complete a set of historic observations as possible, and developing improved methods of detection and correction of observational biases.»

``... since uncertainty is a structural component of climate and hydrological systems, Anagnostopoulos et al. (2010) found that large uncertainties and poor skill were shown by GCM predictions without bias correction... it can not be addressed through increased model complexity....

The raw daily climate model simulation results were bias corrected according to the ISI - MIP protocol (1, 23), despite known caveats with respect to the use of bias correction in climate impact studies (24).

This includes raw climate model output, as well as model output that has been processed by «bias correction» (removal of some known errors) and / or «downscaling» (addition of finer spatial detail).

Quantile mapping bias correction algorithms are commonly used to correct systematic distributional biases in precipitation outputs from climate models.

Outputs from seven downscaling methods — bias correction constructed analogues (BCCA), double BCCA (DBCCA), BCCA with quantile mapping reordering (BCCAQ), bias correction spatial disaggregation (BCSD), BCSD using minimum / maximum temperature (BCSDX), the climate imprint delta method (CI), and bias corrected CI (BCCI)-- are used to drive the Variable Infiltration Capacity (VIC) model over the snow - dominated Peace River basin, British Columbia.

Because poor simulation of meteorological variables is common in climate models, a determination that meteorological variability is more important for certain variables than leaf variability may point to meteorological bias correction as a more fruitful development path — for certain model applications — than the development of a dynamic phenological routine.

This Perspective considers the issues of bias correction and makes recommendations for research to overcome model biases.

15, including the latest orbits, tide models, sea - state bias models, water vapor corrections, etc..

To calibrate the climate model (remove bias) by comparing the observed baseline period with the historical climate model simulations, and then apply this same bias correction to 21st century simulations;