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ECMWF中心历史数据的下载。此后，完成了2001年至2020年运行地表模型、MATSIRO和CaMa-flood的原始数据的解码。解码ECMWF强迫数据涉及空间和时间降尺度。 地表模型和CaMa洪水模拟工作顺利开展。使用这个强迫数据集，我们成功地获得了超过八天的预测，这比我们之前的洪水预测成果（MSM 的 39 小时，仅在日本）长了五倍多。这些历史结果将有助于分析全球历史河流水深。自动化系统已部分建成，将于第二年竣工。

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.