Modeling the Daily Variability of the Midlatitude Ionosphere with SAMI3/SD-WACCM-X K. A. Zawdie1, D. P. Drob1, S. E. McDonald1, F. Sassi1, C. E. Coker1,

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Presentation transcript:

Modeling the Daily Variability of the Midlatitude Ionosphere with SAMI3/SD-WACCM-X K. A. Zawdie1, D. P. Drob1, S. E. McDonald1, F. Sassi1, C. E. Coker1, D. Siskind1, I. Azeem2 1SpaceScience Division, US Naval Research Laboratory, Washington, DC 2Atmospheric & Space Technology Research Associates (ASTRA), Boulder, CO

SAMI3 NRLSSI Model Setup SD-WACCM-X Solar Irradiance Model Physics based model of the ionosphere Models dynamics and chemistry of 7 ion species from 85 km to 8 RE SAMI3 Thermospheric Composition Neutral Winds Temperature Hourly Global climate-chemistry model Solves dynamics, physics and chemistry globally from ground to ~500 km SD-WACCM-X NAVGEM: Operational Navy Analysis (ground to ~92 km) 4DVAR data assimilation products Every 3 hours U.S. Naval Research Laboratory

14LT: TEC map JPL TEC 20 – 29 January 2010 1400 LT SAMI3/WACCM-X SAMI3 TEC reduced by a factor of .70 to better match the magnitude of JPL TEC SAMI3/HWM/MSIS (climatology) SAMI3 TEC reduced by a factor of .70 to better match the magnitude of JPL TEC U.S. Naval Research Laboratory

Daily TEC variation JPL TEC January 2-31, 2010 SAMI3/WACCM-X In the JPL GIMs, the days (red) with largest daytime TEC are January 17, 19-21. Possibly correspond to times where DW1 and SW2 is larger? Inclusion of the WACCM neutrals (in addition to the winds) provides slightly more variability in TEC. At the geographic equator, 285° longitude U.S. Naval Research Laboratory

Daily TEC variation at Boulder, CO JPL TEC January 2-31, 2010 SAMI3/WACCM-X U.S. Naval Research Laboratory

15LT: Electron Density Profiles IRI-2016 Data (ARTIST) U.S. Naval Research Laboratory

15LT: Electron Density Profiles IRI-2016 Data (ARTIST) SAMI3/WACCM-X SAMI3/WACCM-X scaled by a factor of .57 Capturing some daily variation U.S. Naval Research Laboratory

Ionospheric Parameters nmf2 O-mode Virtual Height at 4 MHz NRL HF Propagation model (MoJo-15) is utilized to calculate the O-mode virtual height for the model ionospheres U.S. Naval Research Laboratory

Daily Variability at 15LT Data nmf2 Virtual Height (4 MHz) U.S. Naval Research Laboratory

Daily Variability at 15LT Data IRI-2016 nmf2 Virtual Height (4 MHz) U.S. Naval Research Laboratory

Daily Variability at 15LT Data IRI-2016 SAMI3/WACCM-X nmf2 Virtual Height (4 MHz) Data 7.2e4 IRI 6e3 SAMI/WACCM-X 3.6e4 Data 15 IRI 4 SAMI/WACCM-X Standard Deviation U.S. Naval Research Laboratory

Another Perspective (15LT) Data IRI-2016 SAMI3/WACCM-X U.S. Naval Research Laboratory

Daily Variability at 19LT Data IRI-2016 SAMI3/WACCM-X nmf2 Virtual Height (2 MHz) Data 3.3e4 IRI 1.3e4 SAMI/WACCM-X 1.4e4 Data 90 IRI 11 SAMI/WACCM-X 13 Standard Deviation U.S. Naval Research Laboratory

Another Perspective (19LT) Data IRI-2016 SAMI3/WACCM-X U.S. Naval Research Laboratory

SAMI3 NRLSSI Recent History SD-WACCM-X Solar Irradiance Model Physics based model of the ionosphere Models dynamics and chemistry of 7 ion species from 85 km to 8 RE SAMI3 Thermospheric Composition Neutral Winds Temperature Hourly Global climate-chemistry model Solves dynamics, physics and chemistry globally from ground to ~500 km SD-WACCM-X NOGAPS-Alpha merged with MERRA data:(ground to ~92 km) 3DVAR data assimilation products Every 3 6 hours U.S. Naval Research Laboratory

Daily Variability at 12LT Data IRI-2016 SAMI3/WACCM-X winds only IDA-4D nmf2 Virtual Height (4 MHz) Data 5.7e4 IRI 4.2e3 SAMI/WACCM-X 3.6e4 IDA-4D 5.8e4 Data 30 IRI 4 SAMI/WACCM-X 8 IDA-4D 44 Standard Deviation U.S. Naval Research Laboratory

SAMI3 NRLSSI Coming soon… SD-WACCM-X Solar Irradiance Model Physics based model of the ionosphere Models dynamics and chemistry of 7 ion species from 85 km to 8 RE SAMI3 Thermospheric Composition Neutral Winds Temperature Hourly Every 5 min Global climate-chemistry model Solves dynamics, physics and chemistry globally from ground to ~500 km Just finished and in testing. SD-WACCM-X NAVGEM: Operational Navy Analysis (ground to ~92 km) 4DVAR data assimilation products Every 3 hours Hourly U.S. Naval Research Laboratory

SAMI3 NRLSSI Under Development SD-WACCM-X Solar Irradiance Model Physics based model of the ionosphere Models dynamics and chemistry of 7 ion species from 85 km to 8 RE SAMI3 Thermospheric Composition Neutral Winds Temperature Ion and electron density, temperature, velocity Global climate-chemistry model Solves dynamics, physics and chemistry globally from ground to ~500 km SD-WACCM-X NAVGEM: Operational Navy Analysis (ground to ~92 km) 4DVAR data assimilation products U.S. Naval Research Laboratory

Conclusions Virtual height is a good independent measure of the bottomside variability as long as the frequency is not in the cusp region Upgrades to SAMI3/WACCM-X have resulted in better modeling of bottomside daily variability SAMI3/WACCM-X shows significantly more daily variability than IRI-2016 during the day, but less than the data SAMI3/WACCM-X captures some daily variability just after sunset, but doesn’t capture the cusp feature seen in the virtual height data U.S. Naval Research Laboratory

Acknowlegements This work was supported by the Chief of Naval Research (CNR) under the NRL 6.1 Base Program. U.S. Naval Research Laboratory

Backup Slides

Bottom-side Ionosphere Weather Modeling Solar Drivers NRL-SAMI3 How do environmental conditions (chemistry, solar drivers, and meteorology) affect radio-frequency wave propagation? Fe+ Ca+ Na+ K+ Mg+ H+(H2O)n O2+ NO+ FeO+ WACCM-X Physics-based model of the ionosphere. Dynamics and chemistry of 7 ion species from 85 km to > 20,000 km SAMI3 MoJo Full Coupling NAVGEM Global climate-chemistry model Solves dynamics, physics and chemistry globally from ground to ~500 km MoJo Radio-wave propagation code. Includes updated dispersion and attenuation. Capable of using observations & model data. Produces ionograms (WSBI) for verification. NAVGEM: Operational Navy Analysis (ground to ~92 km) 4DVAR Hourly data assimilation products

NRL SAMI3 Time Management External Drivers Photochemistry Solar Irradiances (NRLSSI) Update Neutrals Neutrals (from atmospheric meteorology or climatology) Parallel Transport (motion along B) t0 + Δt t* I/O: Ni, Ne, Ti, Te Ion V (δV) Heating (δT) Electric Potential Solver (∇∙J=0) Solar params (F10.7, Ap) Perpendicular Transport t* + Δt t1

Atmospheric Tides Migrating Tides (sun-synchronous) Nonmigrating Tides Due to periodic variations in the troposphere and stratosphere heating due to daily variations in the absorption of solar radiation Reach large amplitudes in lower thermosphere (100 – 150 km) Westward propagating Nonmigrating Tides Due to longitudinal variations in heating rates, such as: - Land-sea differences in latent heat release - Nonlinear tide-tide interactions - Tide-planetary wave interactions Eastward/westward propagating or stationary U.S. Naval Research Laboratory

IRI IDA-4D Other Models Using both IRI-2012 and IRI-2016 Default parameters IDA-4D Background model: IRI-2012 Boulder Ionosonde data not ingested Assimilated Data: - GPS TEC - Occultation Measurements from GRACE and CHAMP - DORIS beacon TEC measurements - TEC from topside ionospheric sounders (GRACE-A, GRACE-B, SAC-C) U.S. Naval Research Laboratory

HF Propagation Model: MoJo-15 Integrates the Haselgrove raytrace equations in 3D spherical coordinates using a 4th order Runge-Kutta scheme, assuming the following for the index of refraction: Ψ = angle between the wave normal and the earth’s magnetic field Includes iterative homing algorithm for eigenrays U.S. Naval Research Laboratory