Landlab CUAHSI Colloqium 2016 Workshop

A new paradigm in hydrologic and earth system modeling is emerging where complex systems once coded in Fortran, C++ and cryptic scripts developed for research are being reconfigured in Open Source Python component based systems. In this workshop, we will introduce participants to one example of how this new type of modeling system, Landlab, can be linked to CUAHSI resources, such as the Water Data Center for time series data and HydroShare to run models online, access model inputs, and publish outputs for research collaboration and public dissemination.

Participants will learn how Landlab, a Python-based modeling environment, allows building numerical landscape models of earth surface dynamics such as geomorphology, hydrology, ecohydrology, glaciology, and stratigraphy, and a rapidly expanding network of open source collaborators.

在水资源与地球系统建模领域，一种新兴的范式正在形成：曾经使用 Fortran、C++ 以及为研究目的所开发的晦涩脚本编写的复杂系统，正在被重构为基于开源 Python 的组件化系统。在本研讨会中，我们将向参与者介绍如何将这种新型的建模系统——Landlab，与 CUAHSI 资源相连接，例如水数据中心用于时间序列数据，以及 HydroShare 用于在线运行模型、访问模型输入和发布输出，以促进研究合作和公共传播。
参与者将学习 Landlab 这一基于 Python 的建模环境如何构建地表动力学如地貌学、水文学、生态水文学、冰川学以及地层学的数值景观模型，以及一个快速发展的开源协作网络。