IDEA/WAM model development and first IDEA/WAM model development and first results (R. Akmaev, F. Wu, H. Wang, and T. results (R. Akmaev, F. Wu, H. Wang, and T. Fuller-Rowell)Fuller-Rowell)

Seasonal density variations in NCAR TIE-Seasonal density variations in NCAR TIE-GCM (S. Solomon and L. Qian)GCM (S. Solomon and L. Qian)

NADIR MURINADIR MURIIV. Wave forcing from the lower atmosphereIV. Wave forcing from the lower atmosphere

Temperature correction (dTc) to empirical J70 model from 4 satellite Temperature correction (dTc) to empirical J70 model from 4 satellite orbits in 2002 compared to solar and geomagnetic indices. Significant orbits in 2002 compared to solar and geomagnetic indices. Significant spectral peaks near 11, 14, and 19 days are a possible manifestation spectral peaks near 11, 14, and 19 days are a possible manifestation of PW effects. (Courtesy B. Bowman, 2006)of PW effects. (Courtesy B. Bowman, 2006)

Motivation: density variabilityMotivation: density variability

Coupled model of Integrated Dynamics Coupled model of Integrated Dynamics through Earth’s Atmosphere (IDEA)through Earth’s Atmosphere (IDEA)

Whole Atmosphere Model (WAM)Whole Atmosphere Model (WAM) Global Ionosphere-Plasmasphere Global Ionosphere-Plasmasphere (GIP) Model(GIP) Model

Neutral Dynamical Neutral Dynamical Spectral CoreSpectral Core

Plasma Dynamics &Plasma Dynamics &ElectrodynamicsElectrodynamics

WAM/GIP WAM/GIP InterfaceInterface

UUii, V, Vii, & , & nini

NNii, J, & J, J, & Jpp

U, V, & TU, V, & TO, OO, O22, & N, & N22

Plasma PhysicsPlasma Physics

Spherical/Hybrid Spherical/Hybrid Coordinate SystemCoordinate System

Magnetic Apex Flux-TubeMagnetic Apex Flux-TubeCoordinate SystemCoordinate System

Col

umn

Phy

sics

Col

umn

Phy

sics Surface Physics

Surface Physics

WAM = Extended GFS + PhysicsWAM = Extended GFS + PhysicsOperational Operational Global Forecast SystemGlobal Forecast System

T382L64 (~ 0.3T382L64 (~ 0.30.30.3, ~ 0 – 62 km), ~ 0 – 62 km) Hydrology, surface exchange processes, Hydrology, surface exchange processes, ozone transport, radiation, cloud physics, etc.ozone transport, radiation, cloud physics, etc. 4 forecasts daily4 forecasts daily Ensemble (14 members) forecast up to 16 Ensemble (14 members) forecast up to 16 daysdays

GF

SS

ML

TM

CT

IPE

Major Species Composition

Joule Heating and Auroral Processes

Ion Drag and MolecularDissipation

Vertical Eddy Mixing

Radiative Heating and Cooling

Parameterized GravityWaves

Troposphere: Convection,Hydrology, Clouds

Planetary Boundary Layer

Surface: Orography, Drag,Land-Sea Contrast

Co

lum

n P

hys

ics

Inte

rfac

eSpectral

DynamicalCore

Horizontal Diffusion, Viscosity, & Conductivity

GF

SS

ML

TM

CT

IPE

GF

SS

ML

TM

CT

IPE

Major Species Composition

Joule Heating and Auroral Processes

Ion Drag and MolecularDissipation

Vertical Eddy Mixing

Radiative Heating and Cooling

Parameterized GravityWaves

Troposphere: Convection,Hydrology, Clouds

Planetary Boundary Layer

Surface: Orography, Drag,Land-Sea Contrast

Co

lum

n P

hys

ics

Inte

rfac

eSpectral

DynamicalCore

Horizontal Diffusion, Viscosity, & Conductivity

WAMWAM 150 layers (~ 0 – 600 km) 150 layers (~ 0 – 600 km) ρρSS//ρρTT ~ 10 ~ 101313

Variable composition Variable composition thermodynamics thermodynamics Column + surface physicsColumn + surface physics Timing: ~ 8 min/day on 32 nodes @ T62L150Timing: ~ 8 min/day on 32 nodes @ T62L150

Validation: DW1 T tide @ 100 kmValidation: DW1 T tide @ 100 km

TIMED/SABER data (Forbes et al., 2008)TIMED/SABER data (Forbes et al., 2008)TIMED/SABER data (Forbes et al., 2008)TIMED/SABER data (Forbes et al., 2008)

Validation: SW2 T tide @ 100 kmValidation: SW2 T tide @ 100 km

TIMED/SABER data (Forbes et al., 2008)TIMED/SABER data (Forbes et al., 2008)TIMED/SABER data (Forbes et al., 2008)TIMED/SABER data (Forbes et al., 2008)

Validation: DE3 T tide @ 116 kmValidation: DE3 T tide @ 116 km

TIMED/SABER data (Forbes et al., 2008)TIMED/SABER data (Forbes et al., 2008)TIMED/SABER data (Forbes et al., 2008)TIMED/SABER data (Forbes et al., 2008)

Validation: DE3 U tide @ 95 kmValidation: DE3 U tide @ 95 km

UARS data (Forbes et al., 2003), TIMED data (Oberheide et al., 2006)UARS data (Forbes et al., 2003), TIMED data (Oberheide et al., 2006)UARS data (Forbes et al., 2003), TIMED data (Oberheide et al., 2006)UARS data (Forbes et al., 2003), TIMED data (Oberheide et al., 2006)

UARS/HRDI&WINDII TIMED/TIDI

Tidal variability: T (m = 3)Tidal variability: T (m = 3)

The presence of migrating and nonmigrating tides The presence of migrating and nonmigrating tides modulated at scales of several days in the lower modulated at scales of several days in the lower thermosphere (E-layer dynamo) region is evidentthermosphere (E-layer dynamo) region is evident

The presence of migrating and nonmigrating tides The presence of migrating and nonmigrating tides modulated at scales of several days in the lower modulated at scales of several days in the lower thermosphere (E-layer dynamo) region is evidentthermosphere (E-layer dynamo) region is evident

Density variability: time seriesDensity variability: time series

High-pass one-year WAM simulation shows residual High-pass one-year WAM simulation shows residual variability of global mean density on short time scalesvariability of global mean density on short time scalesHigh-pass one-year WAM simulation shows residual High-pass one-year WAM simulation shows residual

variability of global mean density on short time scalesvariability of global mean density on short time scales

Density variability: wavelet spectrumDensity variability: wavelet spectrum

Global mean density shows variability (events) on scales Global mean density shows variability (events) on scales from daily to intraseasonalfrom daily to intraseasonal

Global mean density shows variability (events) on scales Global mean density shows variability (events) on scales from daily to intraseasonalfrom daily to intraseasonal

Density variability: wavelet spectrumDensity variability: wavelet spectrum

Global mean density shows variability (events) on scales Global mean density shows variability (events) on scales from daily to intraseasonalfrom daily to intraseasonal

Global mean density shows variability (events) on scales Global mean density shows variability (events) on scales from daily to intraseasonalfrom daily to intraseasonal

Density at 300 km

Day number

Per

iod

(d

ays)