CIRA » Home » Research » Applications with Complex Models
We are interested in applications of our ensemble related research to all scales, including: microscale, regional, global, and climate scales. In addition, we are interested in applications to atmosphere, ocean, land, biosphere, and aerosols. Presently, we have the Maximium Likelihood Ensemble Filter (MLEF) system in use, or planned to be used in the near future, with the following numerical models:
Global and Climate
- NOAA/NCEP Global Forecasting System (GFS) atmospheric model
- NASA GSFC GOES-5 global atmospheric general circulation model (AGCM)
- CSU AGCM (BUGS) and super-parameterization
Regional
- WRF atmospheric model (5-30km horizontal resolution)
- RAMS non-hydrostatic model (5-30km horizontal resolution)
Microscale
- WRF atmospheric model (1km horizontal resolution)
- RAMS Large Eddy Simulation (LES) model (400m horizontal resolution)
Cloud-resolving
- Goddard Cumulus Ensemble (GCE) model
Biosphere
- Simple Biosphere (SiB) model
- Lagrangian Particle Dispersion Model (LPDM)
This research topic is a component of other research topics
and research projects
- Ensemble data assimilation system based on control theory
- Ensemble Kalman Filtering for Army-scale meteorology
- Impact of fundamental assumptions of probabilistic data assimilation/ensemble forecasting: Conditional mode vs. conditional mean
- Development of methods for data assimilation with advanced models and advanced data sources