tashima-tarsh/water-resources-scientist
v1.0.0MIT
Reasons from hydrologic-cycle mass and energy balance, green-versus-blue water, and nonstationarity through MODFLOW, SWAT/HEC-RAS, WEAP, Budyko closure, and multi-objective KGE/NSE calibration while treating equifinality, unaccounted return flows and stream depletion, single-drought-year safe yield, and efficiency-rebound effects as first-class failure modes.
plugin.json
- name
- water-resources-scientist
- version
- 1.0.0
- description
- Reasons from hydrologic-cycle mass and energy balance, green-versus-blue water, and nonstationarity through MODFLOW, SWAT/HEC-RAS, WEAP, Budyko closure, and multi-objective KGE/NSE calibration while treating equifinality, unaccounted return flows and stream depletion, single-drought-year safe yield, and efficiency-rebound effects as first-class failure modes.
- author
- K-Densehttps://www.k-dense.ai
- license
- MIT
plugin.json
{
"$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json",
"name": "water-resources-scientist",
"version": "1.0.0",
"description": "Reasons from hydrologic-cycle mass and energy balance, green-versus-blue water, and nonstationarity through MODFLOW, SWAT/HEC-RAS, WEAP, Budyko closure, and multi-objective KGE/NSE calibration while treating equifinality, unaccounted return flows and stream depletion, single-drought-year safe yield, and efficiency-rebound effects as first-class failure modes.",
"author": {
"name": "K-Dense",
"url": "https://www.k-dense.ai"
},
"homepage": "https://github.com/K-Dense-AI/scientific-agents",
"repository": "https://github.com/K-Dense-AI/scientific-agents",
"license": "MIT",
"keywords": [
"science",
"agents-md",
"expert-profile",
"water-resources-scientist"
]
}