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Recorded precipitation data of synoptic, climatology and rain gage stations were gathered to monitor precipitation trend.
Open image in new window Fig. 3 Isohyetal lines and location of used rain gage stations.
Isohyetal lines and location of rain gage stations which are used in the present research are shown in Fig. 3.
We use long-term stream and rain gage measurements, and our analyses are based on annual maxima (AMs) and peaks-over-threshold (POTs).
At present, a detailed gridded rainfall distribution based on rain gage data (APHRODITE; Yatagai et al. 2012) shows differences between coastal and inland regions, although this is less clear than in the space-borne radar data to be mentioned later.
Detailed studies of the local rainfall variability due to orography over the IMC have started with a dense mesoscale rain gage network of daily-pentad (so the diurnal cycle is not resolvable) sampling (Hamada et al. 2008), and with raindrop size disdrometers (Marzuki et al. 2013) and wind profilers (Tabata et al. 2011a, 2011b) with high time resolution at almost isolated stations.
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Inundation signals for rain storms in the hindcast based on 2 rain gages were similar to those in the recent based on 107 gages.
The rainfall map was prepared using monthly rainfall data from 15 rain gages of 2003 2013 obtained from the Timor-Leste MeteorologicandDepartMinistry of Agriculturey of Agriculture.
A major break in the rainfall data occurred when the rain gages were inoperable for 59 days following landfall of the 1926 Great Miami Hurricane.
To test our hypothesis this study was conducted in two ways: First, the effect of existing remnant forests on rainfall at the landscape scale was studied by installing automatic rain gages in forests and open areas following a transect line.
Long-term historical precipitation data available for almost 100 years at 53 rain gages in south Florida, USA, with gages having varying lengths of missing data are used for the study.
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