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Comparsion of TRMM Precipitation Satellite Data over Central Java Region – Indonesia

Andung Bayu Sekaranom

Andung Bayu Sekaranom

Faculty of Geography, University of Gadjah MadaYogyakarta, Indonesia
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Sekaranom, Andung Bayu
, 
Emilya Nurjani

Emilya Nurjani

Faculty of Geography, University of Gadjah MadaYogyakarta, Indonesia
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Nurjani, Emilya
, 
M. Pramono Hadi

M. Pramono Hadi

Faculty of Geography, University of Gadjah MadaYogyakarta, Indonesia
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Hadi, M. Pramono
 y 
Muh Aris Marfai

Muh Aris Marfai

Faculty of Geography, University of Gadjah MadaYogyakarta, Indonesia
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Marfai, Muh Aris
  
06 sept 2018
Comparsion of TRMM Precipitation Satellite Data over Central Java Region – Indonesia's Cover Image
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Publicado en línea: 06 sept 2018
Páginas: 97 - 114
Recibido: 24 ago 2016
DOI: https://doi.org/10.2478/quageo-2018-0028
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© 2018 Andung Bayu Sekaranom et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Fig. 1

Three different major climate zones in Indonesia based on Aldrian and Susanto (2013). Precipitation data were derived from TRMM 3B42.
Three different major climate zones in Indonesia based on Aldrian and Susanto (2013). Precipitation data were derived from TRMM 3B42.

Fig. 2

TRMM 3B42 composite seasonal rainfall and the corresponding NCEP reanalysis horizontal wind vectors from 1998–2010.
TRMM 3B42 composite seasonal rainfall and the corresponding NCEP reanalysis horizontal wind vectors from 1998–2010.

Fig. 3

Rain gauge stations used for the analysis, represented as red triangle. Shading color represent elevation. (Precipitation data are from BMKG; elevation data are based on ETOPO).
Rain gauge stations used for the analysis, represented as red triangle. Shading color represent elevation. (Precipitation data are from BMKG; elevation data are based on ETOPO).

Fig. 4

Correlation-distance plot between weather stations with deleted station in cross red marks.
Correlation-distance plot between weather stations with deleted station in cross red marks.

Fig. 5

a) An example of station with good consistency taken from Dracik Kramat Station, b) station with low consistency taken from Ngawen Station.
a) An example of station with good consistency taken from Dracik Kramat Station, b) station with low consistency taken from Ngawen Station.

Fig. 6

Number of weather stations within each TRMM 0.25 sq. degree grid.
Number of weather stations within each TRMM 0.25 sq. degree grid.

Fig. 7

Selection of interpolation techniques, a) Moving Average, b) Spline, c) IDW, d) Kriging, e) Nearest Neighbour, and f) Natural Neighbour.
Selection of interpolation techniques, a) Moving Average, b) Spline, c) IDW, d) Kriging, e) Nearest Neighbour, and f) Natural Neighbour.

Fig. 8

a) Correlation value, b) Mean Bias Error (MBE), and c) Root Mean Square Error (RMSE) of monthly precipitation between each weather stations and TRMM 3B42.
a) Correlation value, b) Mean Bias Error (MBE), and c) Root Mean Square Error (RMSE) of monthly precipitation between each weather stations and TRMM 3B42.

Fig. 9

a) Correlation value, b) Mean Bias Error (MBE), and c) Root Mean Square Error (RMSE) of monthly precipitation between weather stations (interpolated using Moving Average) and TRMM 3B42.
a) Correlation value, b) Mean Bias Error (MBE), and c) Root Mean Square Error (RMSE) of monthly precipitation between weather stations (interpolated using Moving Average) and TRMM 3B42.

Fig. 10

Long term plot of precipitation from TRMM and interpolated weather station precipitation data.
Long term plot of precipitation from TRMM and interpolated weather station precipitation data.

Fig. 11

a) Mean rainfall, b) correlation value, c) Mean Bias Error (MBE), and d) Root Mean Square Error (RMSE) for each station based on elevation rank from the lowest to the highest. Black-bold lines indicates average value for all season, while color lines indicate seasonal variation.
a) Mean rainfall, b) correlation value, c) Mean Bias Error (MBE), and d) Root Mean Square Error (RMSE) for each station based on elevation rank from the lowest to the highest. Black-bold lines indicates average value for all season, while color lines indicate seasonal variation.

Fig. 12

Similar to previous figure, but for moving average interpolated rainfall data. The plot are based on grid elevation rank from the lowest to the highest.
Similar to previous figure, but for moving average interpolated rainfall data. The plot are based on grid elevation rank from the lowest to the highest.

a) Correlation value, b) Mean Bias Error (MBE), and c) Root Mean Square Error (RMSE) for seasonal data_

SeasonCorrelationMBERMSE
DJF0.54−44 (−12.29%)149 (41.54%)
MAM0.68−17 (−7.16%)90 (37.56%)
JJA0.820.94 (0.16%)44 (64.25%)
SON0.81–16 (−9.09%)97 (54.07%)

Number of weather stations based on the elevation_

Elevation (m a.s.l.)Number of stations
0–25051
250–5009
500–7509
500–1,0003
>1,0001

Correlation value, Mean Bias Error (MBE), and Root Mean Square Error (RMSE) for several interpolation method_

ParameterInterpolation
Moving AverageSplineIDWKrigingNearest NeighbourNatural Neighbour
Correlation0.930.910.920.840.920.91
MBE1.15−10.618.012.181.024.21
RMSE81.5188.1783.37118.9489.8292.06
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