Open Access

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.
https://github.com/Fluvial-UMass

Merritt Harlan @ Github
Merritt’s codes dealing with remote sensing and field data are found on her Git site.
https://github.com/merrittharlan

Craig Brinkerhoff @ Github
Craig’s geomorphology-based codes and analyses for his papers.
https://github.com/craigbrinkerhoff

Dongmei Feng @ Github
Dongmei maintains a large collection of data and models
https://github.com/dongmeifeng-2019

Yuta Ishitsuka @ Github
Yuta is a Git all-star!
https://github.com/windsor718

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:
https://blogs.umass.edu/hydrosystems/tools/


External links

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.
https://waterdata.usgs.gov/nwis
https://wateroffice.ec.gc.ca/google_map/google_map_e.html?searchBy=p&province=ON&doSearch=Go

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.
https://github.com/CWatM/CWatM

More to follow….