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CARPE DIEM

CARPE DIEM. 6th meeting. Helsinki, June 2004. Bernat Codina, Miquel Picanyol Dept. of Astronomy and Meteorology University of Barcelona. WP 3: Data assimilation. Contribution to WP3 (Data Assimilation):

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CARPE DIEM

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  1. CARPE DIEM 6th meeting. Helsinki, June 2004. Bernat Codina, Miquel Picanyol Dept. of Astronomy and Meteorology University of Barcelona

  2. WP 3: Data assimilation • Contribution to WP3 (Data Assimilation): • “A comparison experiment between nudging and incremental analysis updating (IAU) in a mesoscale model” • The objective is to determine which assimilation scheme and what meteorological fields have the best positive impact on the forecasted precipitation field.

  3. WP 3: Data assimilation • Description of the experiment: • Corrections on the T, u, v, q and ps variables are introduced via IAU and nudging methods. • Assimilation frequency: 6 and 3 hours. • 10 different cases.

  4. WP 3: Data assimilation Effects of a unique assimilation:

  5. WP 3: Data assimilation Methodology:

  6. WP 3: Data assimilation Sfc–500hPa RH

  7. WP 3: Data assimilation Total precipitation RMSE

  8. WP 3: Data assimilation Total precipitation mean error

  9. 030817 030213 030106 030220 030227 030831 030328 030409 u, v, T, q u, v, q Control 030506 IAU 6 Nudging 6 IAU 3 Nudging 3 u, v, T u, v, T, q, Ps 021210 T, q Assimilation method Assimilated data WP 3: Data assimilation Cases

  10. WP 3: Data assimilation Sfc–500hPa RH

  11. WP 3: Data assimilation Sfc–500hPa RH

  12. WP 3: Data assimilation Total precipitation RMSE (IAU 3 h)

  13. WP 3: Data assimilation Total precipitation RMSE (NUD 3 h)

  14. WP 3: Data assimilation Total precipitation mean error (IAU 3 h)

  15. WP 3: Data assimilation Total precipitation mean error (NUD 3 h)

  16. WP 3: Data assimilation • Conclusions: • 3-hour assimilation frequency minimizes the RMSE. • IAU tends to overestimate the total amount of precipitation while nudging gives a bias closer to zero. • There are not any significant differences on the forecast precipitation field when assimilating surface pressure. • Assimilating all meteorological fields or the combination of wind and humidity produces the best impact on the precipitation field. • The bias is not so affected by the combination chosen.

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