Understand, Predict and Communicate the Role and Response of Lakes in a Changing Global Environment
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LakeEnsemblR-WQ
Develop an R package that is user-friendly, facilitates model running, sensitivity analysis, calibration and output processing of aquatic ecosystem models (coupled hydrodynamic-water quality models), that is based on LakeEnsemblR (https://github.com/aemon-j/LakeEnsemblR)
Timeline:
2020-08-01 to 2022-11-01
Project Phase
Participants
This material is based upon work supported by the National Science Foundation under Grant Number DBI RCN 0639229 and MSB 1702991, 1137327, 1137353. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
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