Notes on Eddy Diffusion Tuning in TIMEGCM Kzz

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Notes on Eddy Diffusion Tuning in TIME-GCM • Kzz tuning in TIME-GCM (2015, 5

Notes on Eddy Diffusion Tuning in TIME-GCM • Kzz tuning in TIME-GCM (2015, 5 x 5 resolution), Pilinski and Crowley, 2015 – Work originally done at ASTRA • Not suggesting that “Kzz” is the cause of the entire “seasonal” variation in thermosphere • However, it probably contributes to some extent – More to annual signal than SAO • Kzz estimates parametrize the effect of several phenomena • They are different depending on where (latitude, altitude) you measure them M. Pilinski, CEDAR 2018

Notes on Eddy Diffusion Tuning in TIME-GCM, constant Kzz, no GSWM TIME-GCM, constant Kzz

Notes on Eddy Diffusion Tuning in TIME-GCM, constant Kzz, no GSWM TIME-GCM, constant Kzz + GSWM TIME-GCM, variable Kzz + GSWM CHAMP accelerometer v 2. 3 Pilinski, M. D. , and G. Crowley (2015), doi: 10. 1002/ 2015 JA 021084. M. Pilinski, CEDAR 2018 Seasonal variability exists in the GCMs prior to introducing variable eddy diffusion

Background Bowman et al. 2008, global measurement Garcia and Solomon 1985 61°N Liu 2009

Background Bowman et al. 2008, global measurement Garcia and Solomon 1985 61°N Liu 2009 35°N Qian et al. 2009 global specification Liu 2009 35°N M. Pilinski, CEDAR 2018 based on observations of GW momentum and heat fluxes. Na Lidar

The tuning needed is not the same from year to year Pilinski, M. D.

The tuning needed is not the same from year to year Pilinski, M. D. , and G. Crowley (2015), doi: 10. 1002/ 2015 JA 021084. M. Pilinski, CEDAR 2018

Sensitivity to tuning method TIME-GCM eddy diffusion Zpeak higher by one scl. ht. Zpeak

Sensitivity to tuning method TIME-GCM eddy diffusion Zpeak higher by one scl. ht. Zpeak lower by one scl. ht. vs. M. Pilinski, CEDAR 2018 TIME-GCM eddy diffusion Maximum Seasonal Kpeak Minimum Seasonal Kpeak

Sensitivity to tuning method M. Pilinski, CEDAR 2018

Sensitivity to tuning method M. Pilinski, CEDAR 2018

Composition and Temperature 0. 00 Neutral Temperature During 2007, 12 LT, 35°N, K peak

Composition and Temperature 0. 00 Neutral Temperature During 2007, 12 LT, 35°N, K peak Constant 0. 5 M. Pilinski, CEDAR 2018 1. 00 Neutral Temperature During 2007, 12 LT, 35°N, K peak Variable

Comparing with Other Results (Apples to Apples? ) Liu 2009, Na lidar, 35 N,

Comparing with Other Results (Apples to Apples? ) Liu 2009, Na lidar, 35 N, 97 km, 2007 -2009 Garcia and Solomon 1985, model, 100 km, 61 N Kirchoff and Clemesha 1983, oxygen glow, 94 km, 23 S, 5 yr dataset Garcia and Solomon 1985, model, 90 km, 61 N Qian et al. 2009, satellite drag, 97 km, global, 5 yr dataset Pilinski and Crowley 2015, satellite drag, dataset Fukao et al. 1994, radar, <82 km, 1986 -1988 M. Pilinski, CEDAR 2018 ~97 km, global, 4 yr

Parameter tuning Tuning parameters Establishment rate Mortality TuningParameter tuning Tuning parameters Establishment rate Mortality Tuning
INTRODUZIONE AL TUNING Tipi di tuning tuning dellarchitetturaINTRODUZIONE AL TUNING Tipi di tuning tuning dellarchitettura
BESIII tuning Simulation data Tuning parameters Reconstruction TuningBESIII tuning Simulation data Tuning parameters Reconstruction Tuning
A TIMEGCM CAM Multiexecutable Coupled Model Using ESMFA TIMEGCM CAM Multiexecutable Coupled Model Using ESMF
A Diagnostics Package for TIMEGCM 2 d andA Diagnostics Package for TIMEGCM 2 d and
Osmosis And Diffusion Diffusion Diffusion is the netOsmosis And Diffusion Diffusion Diffusion is the net
Diffusion Osmosis Define Diffusion Define Diffusion The movementDiffusion Osmosis Define Diffusion Define Diffusion The movement