ID:
technologies-212
Name:
Data Assimilation and Online Parameter Optimization in Groundwater Modeling Using Nested Particle Filters
Technology:
Nested Particle Filters
Type:
Groundwater model
Data used as input:
Groundwater data, model parameters
Produced datasets (openly available):
Not specified
Demo (video if available):
Not specified
Paper (if available):
Data Assimilation and Online Parameter Optimization in Groundwater Modeling Using Nested Particle Filters
Paper DOI (if available):
10.1029/2018wr024408
Project ID (if available):
675120
Project Acronym (if available):
INSPIRATION
Service description:
Improves groundwater model accuracy and prediction through data assimilation and parameter optimization.