Development of high resolution global-flood forecasting system with long lead time

为了实现第一年的目标，我已经完成了从ECMWF中心下载历史数据。在此基础上，对2001 - 2020年的陆面模式、MATSIRO和CaMa-flood的原始数据进行了解码。ECMWF强迫数据的解码涉及空间和时间尺度的缩减。 陆面模式和钙镁洪水模拟工作顺利进行。使用该强迫数据集，我们成功地获得了超过8天的预报，这是我们以前的洪水预报成果（MSM的39小时，仅在日本）的五倍多。这些历史结果将有助于分析世界各地的历史河流水深。自动化系统已部分建成，将在第二年完成建设。

To achieve the 1st year’s target, I have finished downloading historical data from the ECMWF center. After that, decoding the original data for running the land surface model, MATSIRO, and CaMa-flood is finished from 2001 to 2020. Decoding ECMWF forcing data involves spatial and temporal downscaling. Simulation of the land surface model and CaMa-flood have been smoothly carried out. Using this forcing dataset, we successfully get more than eight days of forecasting, which is more than five times longer than our previous flood forecasting achievement (39 hours by MSM, in Japan only).These historical results will contribute to analyzing historical river water depth worldwide. The automatic system is partly built and will finish construction in the 2nd year.