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Validation of the H01,H02 & H03 products over Turkey

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Presentation on theme: "Validation of the H01,H02 & H03 products over Turkey"— Presentation transcript:

1 Validation of the H01,H02 & H03 products over Turkey
İbrahim SÖNMEZ1, Ahmet ÖZTOPAL2, 1Turkish State Meteorological Service, Turkey 2Istanbul Technical University, Turkey

2 Content Ground observation Network Validation metedology
Scatter & pdf plots Validation statistics Results Discussion

3 Ground Observation Netwok
Sites : AWOS (Automated Weather Observation Station)

4 Ground Observation Netwok
Sites : AWOS (Automated Weather Observation Station) Observed at every 1 minute: Precipitation Temperature Relative humidity Wind speed & direction Observed at every 10 minute: Pressure Soil temperature at different depths Evaporation

5 RG Quality Control Procedures
Tests applied to the precipitation data: Range Test (climatological comparison) Step Test (sequential observation comparison) Persistance Test (group of observation comparison) Flag Value Status Brief Description Good Datum has passed all QA Test Suspect There is concern about accuracy of datum Warning Datum is very questionable Failure Datum is unstable 5

6 Validation Methodology
FOV for H02 AMSU(H02) product FOV centers 00:28

7 Validation Methodology
AMSU(H02) product FOV centers 00:28] * : awos + : product

8 Validation Methodology
AMSU(H02) product FOV centers 00:28] * : awos + : FOV center

9 Validation Methodology
Observation Product * : awos + : FOV center point area How to compare these two? Either, Or,

10 Validation Methodology
* : awos + : FOV center

11 Validation Methodology
? W(r) determined by PCSV (Sen,1996): The observations are used rather than theorotical functions, such as Cressman or Barnes. * : awos + : FOV center

12 Validation Results – Scatter Plots(H01)

13 Validation Results – Scatter Plots(H01)

14 Validation Results – Scatter Plots(H02)

15 Validation Results – Scatter Plots(H03)

16 Validation Results – pdf Plots

17 Validation Results – Correlation variation

18 Validation Results – Std variation

19 Summary & Conclusions H01 : overestimation is dominant
H01 : Relatively lower RR are observed over cost than land H02 : overestimation is dominant H02 : RR over cost ~= RR over land H02 : increasing RR amounts through summer is observed RR amount of H02 < RR amount of H01 for a particular month

20 Summary & Conclusions H03 : underestimation is dominant
H03 : no significant difference over land & cost HO3 : relatively lower RR are observed respect to H01 & H02 product

21 Summary & Conclusions JFM period : highest H02 among three products AMJ period :highest H01 among three products H02& H03: Higher correlation occured in winter. Decreasing std trend through summer months is observed for H01&H02 Increasing std trend through summer months is observed for H03 Highest std in winter months is observed in H01 while H03 has the highest amount in summer time.

22 Questions & Comments


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