Columnar Water Vapor Estimation Over Land Using Radiometer Data From SAC-D/Aquarius

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1 Columnar Water Vapor Estimation Over Land Using Radiometer Data From SAC-D/Aquarius La Plata, Buenos Aires 17/11/2015

2 1 Members of the TRIACLE group 2 3

3 Members of the TRIACLE group 1 Members of the TRIACLE group 2 3

4 TRIACLE Members of the TRIACLE group Dr. Amalia Meza, Dr. Laura Fernadez, Dr. María Paula Natali. Dr. Javier Epeloa, Dr. Luciano Mendoza, Dr. Juan Moirano. Lic. Clara Bianchi, Geof. Juan Manuel Aragón. All members at Faculty of Astronomy and Geophysical Sciencies of La Plata (FCAG-UNLP).

5 Main Objetives Estimation of columnar water vapor (CWV) over land using the MWR data.

6 Main Objetives Estimation of columnar water vapor (CWV) over land using the MWR data. Selection of the algorithm.

7 Main Objetives Estimation of columnar water vapor (CWV) over land using the MWR data. Selection of the algorithm. Climate division of the land surface to perform the algorithm.

8 Köppen - Geiger climate classification

9 Data Selection

10 GPS stations

11 Radiosonde Stations

12 The regional division is based on the vegetation.

13 The regional division is based on the vegetation. The regional division permit to obtain coefficients of the algorithm by zones.

14 The regional division is based on the vegetation. The regional division permit to obtain coefficients of the algorithm by zones. The region of our analisis is at south-east of USA, where the climate type is Cfa (Köppen - Geiger classification).

15 Indice de la Presentación 1 Members of the TRIACLE group 2 3

16 Retrieval algorithm CWV = A 0 + A 1 Ln( T s T b23.8 T s ) + A 2 Ln( T s T b36.5 T s )

17 Retrieval algorithm CWV = A 0 + A 1 Ln( T s T b23.8 T s ) + A 2 Ln( T s T b36.5 T s ) Two frecuencies at: 23.8 Ghz y 36.5 Ghz (only vertical polarization).

18 Retrieval algorithm CWV = A 0 + A 1 Ln( T s T b23.8 T s ) + A 2 Ln( T s T b36.5 T s ) Two frecuencies at: 23.8 Ghz y 36.5 Ghz (only vertical polarization). Latitudes between: 30 N to 40 N, and Longitudes between: 100 E to 85 E from North America.

19 Retrieval algorithm CWV = A 0 + A 1 Ln( T s T b23.8 T s ) + A 2 Ln( T s T b36.5 T s ) Two frecuencies at: 23.8 Ghz y 36.5 Ghz (only vertical polarization). Latitudes between: 30 N to 40 N, and Longitudes between: 100 E to 85 E from North America. Clear Sky conditions.

20 Retrieval algorithm CWV = A 0 + A 1 Ln( T s T b23.8 T s ) + A 2 Ln( T s T b36.5 T s ) Two frecuencies at: 23.8 Ghz y 36.5 Ghz (only vertical polarization). Latitudes between: 30 N to 40 N, and Longitudes between: 100 E to 85 E from North America. Clear Sky conditions. Brigthness temperature less than 300 o K.

21 1 Members of the TRIACLE group 2 3

22 (GPS estimation)

23 (Comparison with RAOB observation)

24 (CWV map)

25 1 Members of the TRIACLE group 2 3

26 Conclusions

27 Conclusions We propose a log-linear algorithm in function of brightness temperatures at 23.8 GHz and at 36.5 GHz to obtain CWV in this region.

28 Conclusions We propose a log-linear algorithm in function of brightness temperatures at 23.8 GHz and at 36.5 GHz to obtain CWV in this region. The standard deviation (STD) between CWV GPS and CWV Cal is 6.47 mm and the correlation is 0.88.

29 Conclusions We propose a log-linear algorithm in function of brightness temperatures at 23.8 GHz and at 36.5 GHz to obtain CWV in this region. The standard deviation (STD) between CWV GPS and CWV Cal is 6.47 mm and the correlation is The CWV Cal is compare with CWV RAOB, the mean difference between both CWV values is mm and its STD is 5.96mm

30 Future works

31 Future works The algorithm will be applied to larger regions.

32 Future works The algorithm will be applied to larger regions. Perform the algorithm with other instruments like the AMSR2 from NASA

33 Future works The algorithm will be applied to larger regions. Perform the algorithm with other instruments like the AMSR2 from NASA Inter-comparison with another instruments and techniques

34 Answers? Thanks for your attention.

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