Presentation is loading. Please wait.

Presentation is loading. Please wait.

COMPARATION OF ERROR ANALYSIS IN 3D-VAR FOR ASSIMILATION OF RADIANCES AND RETRIEVALS USING NOAA-14 Elizabeth Silvestre Espinoza Instituto Nacional de Pesquisas.

Similar presentations


Presentation on theme: "COMPARATION OF ERROR ANALYSIS IN 3D-VAR FOR ASSIMILATION OF RADIANCES AND RETRIEVALS USING NOAA-14 Elizabeth Silvestre Espinoza Instituto Nacional de Pesquisas."— Presentation transcript:

1 COMPARATION OF ERROR ANALYSIS IN 3D-VAR FOR ASSIMILATION OF RADIANCES AND RETRIEVALS USING NOAA-14 Elizabeth Silvestre Espinoza Instituto Nacional de Pesquisas Espaciais – INPE Centro de Previsão do Tempo e Estudos Climáticos- CPTEC

2

3 STATE VARIABLES n FONT: Modelo GEOS DAO/NASA n TIME: 00:00 e 12:00UTC n AREA: 10°N-35°S e 35°W-80°W n RESOLUTION: 2°x2.5° GEOPOTENTIAL HUMIDITY

4 SIMULATED RADIANCES

5 ERROR COVARIANCE MATRIX HORIZONTAL CORRELATION VERTICAL CORRELATION DIAGONAL OF THE SQUARE MATRIX FORECAST OBSERVATION CONVENTIONAL SATELLITE GEPOTENTIALHUMIDITYRADIANCESRETRIEVALS

6 RESUME OF THE EQUATIONS FORECAST ERROR COVARIANCE MATRIX OBSERVATION ERROR COVARIANCE MATRIX GAIN MATRIX FOR RADIANCES GAIN MATRIX FOR RETRIEVALS ANALYSIS ERROR FOR RADIANCES AND RETRIEVALS

7 JACOBIANS TEMPERATURE HUMIDTY

8 LEVELSTEMPERATUREHUMIDITYOZONE 0.41,24, 11,23,24 21,2,22,23,24 51,2,3,22,23,24 102,3,22,23 302,3,22 9 502,3,4 9 7020 9 10020 9 15012, 19 9 20011,12, 19 9 25012 9 30012,1912 40011,121,2,3,4,11,12 5005,6,7,8,10,11,12,14, 15,16,18,19 11,12 7005,6,7,8,10,11,12,14, 15,16,18,19 5,6,7,8,9,10,11,12,1 8,19 8507,8,10,11,13,14,15,16, 17,18,19 5,6,7,8,9,10,11,12,1 8,19 10007,8,10,11,13,14,16,17, 18,19 5,6,7,8,9,10,11,12,1 8,19

9 GEOPOTENTIAL

10 MIXING RATIO

11 CONCLUSIONS n Analysis error: The error analysis for directly assimilation is low that retrieval assimilation n Computational cost : For a matrix the same size the CPU time for directly assimilation is low that retrievals assimilation. n Differences: The difference between forecast error and analysis error for geopotential is high that for humidity. n Assimilação of data satellite: we assumed the best way for South hemisphere, like radiances or retrievals n TR, Jacobians.


Download ppt "COMPARATION OF ERROR ANALYSIS IN 3D-VAR FOR ASSIMILATION OF RADIANCES AND RETRIEVALS USING NOAA-14 Elizabeth Silvestre Espinoza Instituto Nacional de Pesquisas."

Similar presentations


Ads by Google