Jakarta is the capital of Indonesia and is considered one of the most vulnerable cities to climate-related disasters, including flooding, sea-level rise, and storm surges. Therefore, the development of a flood-forecasting system for Jakarta is crucial. However, the accurate prediction of flooding in Jakarta is challenging because of the short flood concentration time in highly urbanized basins and the shortage of rainfall data in poorly gauged areas. The aim of this study is to simulate recent flood inundation using global satellite mapping of precipitation (GSMaP) products. The GSMaP products (NRT and Gauge V7) were evaluated and compared with hourly observation data from five ground stations in the Ciliwung River Basin. In addition, a rainfall-runoff and flood inundation model was applied to the target basin. The results of the analysis showed that the GSMaP Gauge data were more accurate than the GSMaP NRT data. However, the GSMaP Gauge cannot be used to provide real-time rainfall data and is, therefore, inadequate for real-time flood forecasting. We conclude that the GSMaP Gauge is suitable for replicating past flood events, but it is challenging to use the GSMaP NRT for real-time flood forecasting in Jakarta.

雅加达是印度尼西亚的首都，被认为是最容易受到气候相关灾害（包括洪水、海平面上升和风暴潮）影响的城市之一。因此，为雅加达开发洪水预报系统至关重要。然而，雅加达洪水的准确预测具有挑战性，因为高度城市化流域的洪水集中时间很短，并且在测量不足的地区缺乏降雨数据。本研究的目的是使用全球卫星降水地图 (GSMaP) 产品模拟最近的洪水泛滥。对GSMaP产品（NRT和Gauge V7）进行了评估，并将其与来自Ciliwung流域五个地面站的每小时观测数据进行了比较。此外，对目标流域应用了降雨-径流和洪水淹没模型。分析结果表明，GSMaP Gauge 数据比GSMaP NRT 数据更准确。然而，GSMaP Gauge 不能用于提供实时降雨数据，因此不足以进行实时洪水预报。我们得出结论，GSMaP Gauge 适用于复制过去的洪水事件，但在雅加达使用 GSMaP NRT 进行实时洪水预报具有挑战性。