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  • About
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Blog

  • Post published:July 6, 2020
  • Post category:Climate Change/Knowledge Pool

The climate impact indicators provided are the end result of a long chain of model simulations and statistical calculations. Here, we provide an overview of the method for producing the…

Continue ReadingHow to estimate climate change impact?
  • Post published:July 6, 2020
  • Post category:Climate Change/Knowledge Pool

A Climate Impact Indicator (CII) is an aggregate quantitative measure used to show the impact of climate change on complex environmental phenomena in terms of trends and variability. Climate Impact…

Continue ReadingWhat is a Climate Impact Indicator?
  • Post published:July 6, 2020
  • Post category:Hydrological Forecasts/Knowledge Pool

Seasonal forecasts variables are the likelihood of climate anomalies (deviations from the long term (30 year) mean), occurring for a particular month or season 1-12 months ahead. Seasonal forecasts present…

Continue ReadingWhat is a seasonal forecast variable?
  • 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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