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  • CaMa-Flood
    CaMa-Flood (Catchment-based Macro-scale Floodplain model) is a global river hydrodynamics model designed to simulate river discharge, water level, and floodplain inundation consistently from continental to global scales
  • global-hydrodynamics CaMa-Flood_v4 - GitHub
    This GitHub repository is mainly used for those who want to make contributions to CaMa-Flood If you simply want to use CaMa-Flood, please visit the product webpage and register on the Google Form (the password for downloading is issued after registration)
  • 北京师范大学水科学研究院 - bnu. edu. cn
    CaMa-Flood模型通过将详细地形作为子网格参数,同时描述了大尺度水量平衡和小尺度洪泛区水位和淹没范围时空变化,与传统的二维水动力学模型相比,这种多尺度建模方法模拟大尺度洪水的速度至少快10000倍,同时模拟精度保持在类似水平。
  • CaMa-Flood_v4:开源洪水模拟软件的开发与贡献指南
    CaMa-Flood_v4是CaMa-Flood模型的最新迭代版本。 CaMa-Flood是一种基于格网的洪水模型,它可以模拟洪水流动和积聚的过程。 这种模型在洪水预警、洪灾风险评估和洪水管理策略的制定中发挥着重要的作用。 在GitHub上,CaMa-Flood_v4的代码被分为几个不同的分支。
  • EGUsphere - CaMa-Flood-GPU: A GPU-based hydrodynamic model . . .
    Floods are among the costliest natural hazards, demanding scalable models to simulate river and floodplain dynamics at a global scale The Catchment-based Macro-scale Floodplain (CaMa-Flood) model is a leading system for this purpose, but its CPU-based implementation is computationally demanding
  • CoLM2024内置河道汇流模块CaMa-Flood河网数据集
    数据集摘要 本数据集提供了用于通用陆面模式(CoLM)2024版本CaMa-Flood汇流模块耦合的河网地图。 这些数据集旨在作为 CoLM2024 陆面模式中CaMa-Flood组件的输入数据。
  • 清华大学地学系卢麾课题组发文预估中国主要城市群未来洪水 . . .
    针对上述问题,清华大学地学系卢麾教授课题组使用可变下渗容量(VIC)水文模型和CaMa-Flood水动力模型,生成了一套约500米分辨率的中国区域不同重现期洪水的淹没地图。
  • CaMa-Flood - pik-potsdam. de
    CaMa‐Flood Catchment‐based Macro‐scale Floodplain model, global river routing model for continental-scale rivers
  • Analysis and comparison of the flood simulations with the routing model . . .
    CaMa-Flood, a global routing model developed by the University of Tokyo (Yamazaki et al , 2011), is designed for simulating hydrodynamics in continental-scale rivers
  • CoLM2024内置河道汇流模块CaMa-Flood河网数据集
    Estimated population exposed to floods with a global flood model (CaMa-Flood v4 00) This is a repository for data and codes to analyze the population exposed to floods at grid level (0 25deg) and country level





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