Versions Compared

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.
Comment: Confirmed: ok

ECMWF data can be differentiated into 3 main categories: analyses, "instantaneous" forecasts and accumulated forecasts.

  • Analyses are produced by combining short-range forecast data with observations to produce the best fit to both. The data are available a few times per day.
  • "Instantaneous" forecast data are produced by the forecast model, starting from an analysis, and are available at various forecast steps (hours) from the analysis date/time. These data are relevant to a particular validity date/time (forecast start date/time plus step), see the article on Parameters valid at the specified time.
  • Accumulated forecast parameters are accumulated over particular periods. In some datasets the period will be from the beginning of the forecast (eg in ERA-Interim), while in ERA5 the period is since the previous post processing (archiving). You can divide values by the length of the accumulation period to calculate averages over the accumulation period.
  • Minimum or maximum forecast parameters are the minimum or maximum during a particular period.

Some parameters are only analysed, some are only forecast (e.g. radiative fluxes) and some are both analysed and forecast (e.g. temperature, winds and pressure).

Content by Label
showLabelsfalse
max5
spacesCKB
showSpacefalse
sortmodified
reversetrue
typepage
cqllabel in ("ecmwf","data") and type = "page" and space = "CKB"
labelsdata ecmwf