Use of radar data in the HIRLAM modelling consortium

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Presentation transcript:

Use of radar data in the HIRLAM modelling consortium Magnus Lindskog Swedish Meteorological and Hydrological Institute Lisbon, Portugal, 8 October 2003

Structure Introduction Radar wind processing and assimilation Verification against radar derived precipitation Direct use of radar reflectivities Future plans

Typical weather radar 8 km 7 6 5 4 3 2 1 0 60 120 180 240 km

HIRLAM main components assimilation forecast

De-aliasing Mapping into torus Radial wind velocities from one scan

Illustration of de-aliasing Observed velocities De-aliased velocities .

Filtering (Method 1) Generation of vertical profile of horizontal winds using different methods: Verification of different methodoligies against radiosondes (1 Oct. 2001-1 July 2002 22610 profiles) VAD

Filtering (Method 2) Horizontal filtering: superobservations Time filtering: unfiltered and filtered observations filtered observations and model

Assimilation experiment 10 day experiment (1-10 Dec., 1999) Three parallel runs CRL:conv. obs. RWD:conv. obs+rwd VAD:conv. obs.+VAD Integration area and radar sites RMS of +24 h wind forecasts at 850 hPa

Results from pre-operational monitoring of VAD-profiles BIAS BG-OB wind speed (m/s) RMS BG-OB wind speed (m/s)

Radar derived precipitation for verification of products from BALTEX regional reanalysis project

HIRLAM Precipitation

Radar simulation model CASE study: 15 July, 2000 at 12 UTC Synoptical situation

Radar simulation Model

Radar simulation Model

Daily ratios computed for each grid and then classified by altitude and month respectively. Values from 2002. Deviations versus altitude Deviations versus season

Future plans Operational assimilation of VAD profiles Extended radial wind experiments Increased use of radar data for verification of models Assimilation of radar derived precipiation/reflectivities Support operational exchange of radar data

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