Center for Applied Climate Information and Services, Agency for Meteorology, Climatology, and Geophysics (BMKG), Jakarta, Indonesia.
Department of Geography, Faculty of Mathematics and Natural Science, Universitas Indonesia, Depok, Indonesia.
PLoS One. 2022 Jun 3;17(6):e0260982. doi: 10.1371/journal.pone.0260982. eCollection 2022.
A meteorological drought refers to reduced rainfall conditions and is a great challenge to food security. Information of a meteorological drought in advance is important for taking actions in anticipation of its effects, but this can be difficult for areas with limited or sparse ground observation data available. In this study, a meteorological drought indicator was approached by applying the Standardized Precipitation Index (SPI) to satellite-based precipitation products from multiple sources. The SPI based meteorological drought analysis was then applied to Java Island, in particular to the largest rice-producing districts of Indonesia. A comparison with ground observation data showed that the satellite products accurately described meteorological drought events in Java both spatially and temporally. Meteorological droughts of the eight largest rice-producing districts in Java were modulated by the natural variations in El Niño and a positive-phase Indian Ocean Dipole (IOD). The drought severity was found to be dependent on the intensity of El Niño and a positive-phase IOD that occurs simultaneously, while the duration seems to be modulated more by the positive-phase IOD. The results demonstrate the potential applicability of satellite-based precipitation monitoring to predicting meteorological drought conditions several months in advance and preparing for their effects.
气象干旱是指降雨量减少的情况,对粮食安全构成了巨大挑战。提前获取气象干旱信息对于预先采取行动应对其影响非常重要,但对于地面观测数据有限或稀疏的地区来说,这可能很困难。在本研究中,通过将标准化降水指数(SPI)应用于来自多个来源的卫星降水产品,提出了一种气象干旱指标。然后,将基于 SPI 的气象干旱分析应用于爪哇岛,特别是印度尼西亚最大的稻米产区。与地面观测数据的比较表明,卫星产品在空间和时间上准确描述了爪哇的气象干旱事件。气象干旱由厄尔尼诺和印度洋偶极子正相位(IOD)的自然变化调制。研究发现,干旱严重程度取决于同时发生的厄尔尼诺和IOD 正相位的强度,而持续时间似乎更多地受到IOD 正相位的调制。研究结果表明,卫星降水监测具有潜在的适用性,可以提前数月预测气象干旱状况,并为其影响做好准备。