Our Research

Models

One of our key activities is modeling Earth systems and processes to better understand and predict their behavior. Models are complex mathematical descriptions of real-world phenomena that we run on computers and compare against real-world observations. Models enable us to continually refine our understanding of Earth systems and predict weather and climate.

Acronym	Model Name
AMIE	Assimilative Mapping of Ionospheric Electrodynamics
BGC	Biogeochemical Cycles Model
CAM	Community Atmosphere Model (formerly CCM3)
CAWFE	Coupled Atmosphere–Wildland Fire–Environment Model
CCSM	Community Climate System Model
CLM	Common Land Model
CREEP	Changing Relief and Evolving Ecosystem Project
CRM	Column Radiation Model
CSIM	Community Sea Ice Model
CSM	Climate System Model
DGVM	Dynamic Global Vegetation Model
ESMF	Earth System Modeling Framework
GSWM	Global-Scale Wave Model
HANK	Regional Chemical Transport Model
LSM	Land Surface Model
MAGICC	Model for the Assessment of Greenhouse-gas Induced Climate Change
MEGAN	Model of the Exchange of Gases between the Atmosphere and Nature
MM5	Penn State/NCAR Mesoscale Model
MOZART	Model for Ozone and Related Chemical Tracers
NCOM	NCAR CSM Ocean Model
PaleoCSM	Paleoclimate System Model
PBM	NCAR CSM Pacific Basin Model
PCM	Parallel Climate Model
POP	Parallel Ocean Program
	Predictive Flux-transport Dynamo Model
SCCM	Single-column Community Climate Model
SCENGEN	Regional Climate Scenario Generator
SOCRATES	Simulation of Chemistry, Radiation, and Transport of Environmentally Important Species
TIEGCM	Thermosphere Ionosphere Electrodynamic General Circulation Model
TIME-GCM	Thermosphere Ionosphere Mesosphere Electrodynamic General Circulation Model
TUV	Tropospheric Ultraviolet and Visible Radiation Model
WACCM	Whole Atmosphere Community Climate Model
WRF	Weather Research and Forecasting Model

	Related Links
•	Visualizations of Model Data
•	WRF Real-time Forecast

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