Glossary

Glossary2020-05-08T19:32:14+00:00

A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z

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B

C

The probability, based on climatological statistics, that unfavorable weather will occur at a particular location or region over a certain period of time.
In general, a mutual relationship between variables or other entities. In statistical terminology, it is a form of statistical dependence.

D

Derivation of local- to regional-scale (10-100 km) information from larger-scale modelled or observed data. There are two main approaches: dynamical downscaling and statistical downscaling.

E

A collection of model simulations characterizing a climate prediction or projection. Differences in initial conditions and model formulation result in different evolutions of the modelled system. In the case of climate forecasts, these simulations may give information on uncertainty associated with model errors and errors in the initial conditions. For projections of longer-term climate change, these simulations provide can provide information on uncertainty associated with model errors and with internally generated climate variability.

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I

J

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O

P

One of a set of numbers on the random-variable axis that divides a probability distribution into 100 equal areas; it is a quantile equal to one one-hundredth of a total population.

The extent to which the future state of a system may be predicted based on knowledge of its current and past states. Predictability is inherently limited, since knowledge of the system’s past and current states is insufficient, and the models that utilize this knowledge to produce a prediction are generally imperfect. Even with arbitrarily accurate models and observations, there may still be limits to the predictability of a physical system.

Q

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S

T

A climate change characterized by a reasonably smooth, monotonic increase or decrease of the average value of one or more climatic elements during the period of record.

U

V

W

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Z

This project has received funding from the European Union's Horizon 2020 Research and Innovation programme under Grant agreement No. 776467