We are committed to open-access data and methods, and provide links to data and models where appropriate here.
The lab @ Github
All of our papers, code, and links to data for those papers written since 2017 are found here.
Merritt Harlan @ Github
Merritt’s codes dealing with remote sensing and field data are found on her Git site.
Craig Brinkerhoff @ Github
Craig’s geomorphology-based codes and analyses for his papers.
Dongmei Feng @ Github
Dongmei maintains a large collection of data and models
Yuta Ishitsuka @ Github
Yuta is a Git all-star!
The Bayesian AMHG-Manning discharge estimation tool (BAM):
Craig has taken over BAM with his 2020 publication of geoBAM.https://github.com/craigbrinkerhoff/geoBAMr
Test datasets for remotely sensed discharge algorithms:
Following the publication of Durand et al (2016, WRR), we provide a link to all test datasets used to build and evaluate discharge algorithms here https://umass.box.com/s/aic73fr4wqex5pb83bpemw6v79w8hwbg
UMass Hydrosystems Research Group Tools:
Dr. Casey Brown runs the hydrosystems group next door to Fluvial@UMass, and they provide a fantastic suite of water resource tools:
The Global Runoff Data Centre (GRDC):
The GRDC mainatins the world’s most extensive list of river gauge data, and provides most free of charge. Their website is here: http://www.bafg.de/GRDC/EN/Home/homepage_node.html
USGS and ECCC:
The national surveys of the US and Canada also maintain an archive of real-time hydrology data that are publically available. These are invaluable to any researcher.
IIASA’s Community Water Model (CWaTM):
The International Institute for Applied Systems Analysis has produced an open source (Python) water model. I include a link to it here.
More to follow….