Global warming causes changing on climate system which driving extreme climate and metrological event. The occurrence of extreme event, such as extreme precipitation can lead to flooding and drought which can have an impact on agriculture production. To observe the extreme event, Expert Team for Climate Change Detection Indices (ETCCDI) developed 27 extreme indices which are 11 extreme precipitation indices and 16 extreme temperature indices. In this study, we analyze the trend of extreme precipitation indices to understand the changing of precipitation in Southern part of Java. Extreme precipitation indices were analyzed using Climpact2. Trend significance of extreme indices time series were calculated using non-parametric Mann-Kendall Test. Spatial distribution of the annual trend in each index illustrated using IDW interpolation. Most of significant trend in extreme precipitation indices occurred in North West station of study area. Negative significant trend only happened on consecutive wet days (CWD) index that means wet days was decrease. Positive significant trend happened in every index exclude consecutive dry days (CDD), Number of heavy precipitation days number of heavy precipitation days (R10mm), and PRCPTOT. Precipitation in study area occur with high intensity in short period.

No abstract

The purpose of this study was to observe the effect of extreme rainfall patterns in the DI Yogyakarta region on the growths of rawit/cayenne (Capsicum frutescens L.) and keriting/curly (Capsicum annum) chili peppers. The experimental design used was Randomized Complete Block Design (RCBD) with single factor consisting of three levels namely: maximum frequency index (P1), rainfall intensity index (P2), and control treatment (K).  The frequency and intensity indexes (P1 and P2) of May-June-July from each weather station were used as the bases of rainfall simulations applied in watering the rawit and keriting chili pepper cultivations. Whilst, control (K) was the watering on the basis of optimum crop water requirement. The growth parameters observed included plant height, number of leaves, age of flowering, age of fruiting, age of first harvest, final weight of biomass, and yield. The data sets were analyzed by using one-way Analysis of Variance (ANOVA) at α=0.05 for each species. The results showed that the three levels of treatments did not significantly affect the growth and yield based on all parameters observed for both of the two species. So even the potted media were flooded, the water easily drained through the holed base of pots, making plant growth undisturbed. This finding suggested that planting chili peppers in pots or elevated media could mitigate the effect of extreme rainfalls.Keywords: Extreme Precipitation, Extreme Indices, Plant Growth, chili pepper