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Exact(9)
Block Kriging and non-linear programming methods were used to estimate the mean rainfall and its hourly excess value, respectively.
Mean rainfall and streamflow rates exhibit a pronounced inter-annual variability across the last century, though in the absence of clear sustained drifts.
This region is characterized by a semiarid climate, with annual mean rainfall and temperature equal to 590 mm and 24 °C, respectively.
A geographical information system (GIS) for the study area was constructed using the following remote sensing (RS) and landscape feature data: autumn winter, spring and summer normalized difference vegetation index (NDVI), land cover, elevation, slope, aspect, mean rainfall and minimum, mean, and maximum temperature in spring, summer, autumn and winter.
SPI refers to rainfall anomaly (irregularity) on multiple time scales; X represents annual rainfall in the year t; (overset{lower0.5emhbox{$smash{scriptscriptstylerightharpoonup}$}}{text{X}}) is the long-term mean rainfall; and σ represents the standard deviation over the period of observation (McKee et al. 1993; Woldeamlak 2009).
Mean rainfall and mean temperature per month for the two areas were used to obtain estimates for Blantyre.
Similar(51)
According to Table 2, G1 events are associated with relatively short-duration rainfall, with low peak and mean rainfall intensities, and low antecedent rainfall, meaning that mass movements occurred in spite of these conditions.
However, GSMaP has relatively smaller root-mean-square error than IMERG and TMPA, especially over the low mean rainfall regimes and along the west coast of India.
In addition, the relation between mean rainfall intensity and mean evaporation rate calculated using the original and revised Gash models was examined using combined data from the present study and previously published studies; a positive correlation was found between the two values especially in the areas where the rainfall intensity is high.
Fig. 1 Monthly changes in soil water content (SWC), relative humidity (RH), and rainfall in 2010, and the mean rainfall between 2008 and 2010.
The observed results show that the SDSM model has good agreement between the observed and simulated daily mean rainfall, standard deviation, and variance.
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