Application of Radar Wind Observations for Low-Level NWP Wind Forecast Validation

Kirsti Salonen Finnish Meteorological Institute, Helsinki, Finland

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Sami Niemelä Finnish Meteorological Institute, Helsinki, Finland

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Carl Fortelius Finnish Meteorological Institute, Helsinki, Finland

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Abstract

The Finnish Meteorological Institute has produced a new numerical weather prediction model–based wind atlas of Finland. The wind atlas provides information on local wind conditions in terms of annual and monthly wind speed and direction averages. In the context of the wind atlas project, low-level Applications of Research to Operations at Mesoscale (AROME) model wind forecasts have been validated against radar radial wind observations and, as a comparison, against conventional radiosonde observations to confirm the realism of the wind forecasts. The results indicate that the systematic and random errors in the AROME wind forecasts are relatively small and are of the same order of magnitude independent of the validating observation type. The validation benefits from the high spatial and temporal resolution of the radar observations. There are over 4000 times as many radar observations as radiosonde observations available for the considered validation period of July 2008–May 2009.

Corresponding author address: Kirsti Salonen, Finnish Meteorological Institute, P.O. Box 503, FI-00101 Helsinki, Finland. E-mail: kirsti.salonen@fmi.fi

Abstract

The Finnish Meteorological Institute has produced a new numerical weather prediction model–based wind atlas of Finland. The wind atlas provides information on local wind conditions in terms of annual and monthly wind speed and direction averages. In the context of the wind atlas project, low-level Applications of Research to Operations at Mesoscale (AROME) model wind forecasts have been validated against radar radial wind observations and, as a comparison, against conventional radiosonde observations to confirm the realism of the wind forecasts. The results indicate that the systematic and random errors in the AROME wind forecasts are relatively small and are of the same order of magnitude independent of the validating observation type. The validation benefits from the high spatial and temporal resolution of the radar observations. There are over 4000 times as many radar observations as radiosonde observations available for the considered validation period of July 2008–May 2009.

Corresponding author address: Kirsti Salonen, Finnish Meteorological Institute, P.O. Box 503, FI-00101 Helsinki, Finland. E-mail: kirsti.salonen@fmi.fi
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