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

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

Quaestiones Geographicae
Volume 37 (2018): Issue 3 (September 2018)
By: Andung Bayu Sekaranom,  Emilya Nurjani,  M. Pramono Hadi and  Muh Aris Marfai  
Open Access
|Sep 2018

Figures & Tables

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
DOI: https://doi.org/10.2478/quageo-2018-0028 | Journal eISSN: 2081-6383 | Journal ISSN: 2082-2103
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Language: English
Page range: 97 - 114
Submitted on: Aug 24, 2016
Published on: Sep 6, 2018
Published by: Adam Mickiewicz University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
TRMM satellite precipitation,
seasonal rainfall comparison,
rain gauge precipitation,
Central Java Region
Related subjects:
Geosciences,
Geography

© 2018 Andung Bayu Sekaranom, Emilya Nurjani, M. Pramono Hadi, Muh Aris Marfai, published by Adam Mickiewicz University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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