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Data tailoring and evaluation

  • Post published:July 6, 2020
  • Post category:Data tailoring and evaluation/Knowledge Pool

Global Forcing Data for Hydrology HydroGFD (Hydrological Global Forcing Data) is a merged data set of historical precipitation and temperature from meteorological reanalysis and global observations. The reanalysis system ERA-Interim…

Continue ReadingWhat is HydroGFD2.0?
  • Post published:July 3, 2020
  • Post category:Data tailoring and evaluation/Knowledge Pool

The ensemble value range (interquartile range) is a confidence measure that provides information about the ensemble spread of the projected climate change signals. The ensemble value range indicates the range…

Continue ReadingHow to interpret ensemble value range?
  • Post published:July 3, 2020
  • Post category:Data tailoring and evaluation/Knowledge Pool

The estimates of climate-change impact include large uncertainties, therefore an ensemble of projections is presented. The ensembles contain a spread of values that reflect the lack of knowledge, for instance…

Continue ReadingWhy is there a spread of values in the Ensembles?
  • Post published:July 3, 2020
  • Post category:Data tailoring and evaluation/Knowledge Pool

A climate model is a numerical representation of the climate system, and thus not a perfect description of the system. The description of the physical laws governing the climate system…

Continue ReadingWhy use a model ensemble?
  • Post published:July 3, 2020
  • Post category:Data tailoring and evaluation/Knowledge Pool

The data and results are based on state of the art modelling systems combining widely used regional climate models and three different large scale hydrological models. The indicator data presented…

Continue ReadingHow to explore confidence in the data?
  • Post published:July 3, 2020
  • Post category:Data tailoring and evaluation/Knowledge Pool

Both Global and Regional Climate models (GCM, RCM) have systematic errors (biases) in their output. For example climate models often have too many rainy days and tend to underestimate rainfall…

Continue ReadingWhat is bias adjustment?

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