jiangchao3 Goto Github PK
Name: JiangchaoQiu
Type: User
Company: MIT
Bio: Postdoc Associate at MIT/EAPS, focus on Climate Change, Flood, Cyclone, Hydrology, and Machine Learning...
Twitter: JiangchaoQiu
Location: U.S. Cambridge
Name: JiangchaoQiu
Type: User
Company: MIT
Bio: Postdoc Associate at MIT/EAPS, focus on Climate Change, Flood, Cyclone, Hydrology, and Machine Learning...
Twitter: JiangchaoQiu
Location: U.S. Cambridge
🌍 My contributions to the #30DayMapChallenge 2019
Test suite derived from examples on ADCIRC.org
Series of MATLAB scripts and functions for manipulating ADCIRC meshes, interpolation of bathymetry, and calculation of specific quantities
An attempt at physics-based machine learning with pyADCIRC
Public matlab codes for dealing with ADCIRC model output
Implementation of routines used to manipulate ADCIRC model files in C++
Python library for managing input and output files for the ADCIRC model.
The ADCIRC Surge Guidance System (ASGS) provides software infrastructure for automating ADCIRC for real time or operational deployments, as well as a variety of tools for pre- and post-processing ADCIRC data.
A list of R and Python Packages for Tropical cyclones retrieval & analysis
A unified interface to access tropical cyclone best-track datasets in different formats.
Blender addons to make the bridge between Blender and geographic data
CaMa-Flood_v4 development master
Econometrics study to assess the impact of innovation in reducing fatalities and damages from tropical cyclones
A place for the development version of the changepoint package on CRAN.
tropical cyclone hazard event sets, incl. surge and rain
Python (3.8+) version of CLIMADA
Given a map of the land-ocean interface, a DEM of the land, and a specified free water surface height, this code will fill up the land on the coastal fringe with water up to the height of this water surface (as if a bath), and output a raster map with the inundation depth.
The development of tools used for the analysis and modeling of flood hazards.
CoinCalc R Package for Event Coincidence Analysis
Experiments and analysis for "global compound hotspots" manuscript
这个仓库保管从(数据科学学习手札69)开始的所有代码、数据等相关附件内容
A Python script that calls the arcGIS desink tool as a preprocessing step in calculating hydrological connectivity for the fluvial bathtub inundation model
Python script to download global terrain digital elevation models, SRTM 30m DEM and SRTM 90m DEM.
A MATLAB toolbox for exporting publication quality figures
Visualization of ADCIRC Model Data in Raster Formats
A simple web map to visualize flood information on maps
Fork of the fvcom-toolbox (original available at https://github.com/GeoffCowles/fvcom-toolbox)
Dashboards to investigate data from learn modules modules in more detail
A python class for loading GESLA data files into convenient in-memory data objects
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.