Drought is a major environmental disaster in many parts of the world. Knowledge about the timing, severity and extentof drought can aid planning and decision-making. Drought indices derived from in-situ meteorological data have coarsespatial and temporal resolutions, thus, obtaining a real-time drought condition over a large area is difficult. This studyused advanced very high resolution radiom...

Drought is a common natural disaster worldwide, with varying durations, severity levels, and spatial extents. This study aimed to model the spatiotemporal variation of meteorological drought events in Gabiley region Somaliland. The utilized primary data collected from station CHIRPS (Climate Hazards Group InfraRed Precipitation Station) develop standardized precipitation index (SPI) at 3-month ...

Prediction of drought and flood events can be difficult, but the standardized precipitation index (SPI) calculated from monthly data may be a useful tool for predicting future dryness/wetness events in China. The rainy season SPI was calculated from monthly precipitation data from 3804 meteorological stations in China. The spatiotemporal variation, periodic change, and trend in rainy season SPI...

regional vegetation plays an important role in modeling ecosystem changes and conservation. meteorological drought indices which are directly obtained from such meteorological data as precipitation can't be useful in drought monitoring if those data are absence. therefore, remote sensing techniques may provide an efficient technique for drought monitoring. in this study, the values of norm...

The standardized precipitation index (SPI) was used to quantify the classification of drought in the Guanzhong Plain, China. The autoregressive integrated moving average (ARIMA) models were developed to fit and forecast the SPI series. Most of the selected ARIMA models are seasonal models (SARIMA). The forecast results show that the forecasting power of the ARIMA models increases with the incre...

The Standardized Precipitation Index (SPI) [5] is a common and simple measure of the intensity and duration of drought at certain measured point locations. We interpolate this original point-based SPI data using a shape function-based interpolation [3], which is the most accurate among a number of alternatives [2], and represent the result in a constraint database [1, 6]. A drought event occurs...

The Standardized Precipitation Index (SPI) is now widely used throughout the world in both a research and an operational mode. For arid climates, or those with a distinct dry season where zero values are common, the SPI at short time scales is lower bounded, referring to non-normally distributed in this study. In these cases, the SPI is always greater than a certain value and fails to indicate ...

This paper presents a new index to determine meteorological drought conditions, the Drought Exceedance Probability Index (DEPI), derived from monthly precipitation time series. Its formulation is simple and undemanding in terms of baseline information requirements. makes DEPI suitable for routine application any climate, similar well-known Standardized Precipitation (SPI). The based on calculat...