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Title: Dataset for Impacts of Spatially Varying Eddy Diffusion in the Lower Thermosphere on the Ionosphere and Thermosphere using GITM - Sensitivity Study Open Access Deposited
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(2021). Dataset for Impacts of Spatially Varying Eddy Diffusion in the Lower Thermosphere on the Ionosphere and Thermosphere using GITM - Sensitivity Study [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/ck13-8r11
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Files (Count: 8; Size: 91.2 GB)
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readme.txt | 2021-09-29 | 2021-09-30 | 2.84 KB | Open Access |
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C1.zip | 2021-09-29 | 2021-09-29 | 16.6 GB | Open Access |
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C2.zip | 2021-09-29 | 2021-09-29 | 16.6 GB | Open Access |
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C3.zip | 2021-09-29 | 2021-09-29 | 16.6 GB | Open Access |
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C4.zip | 2021-09-29 | 2021-09-29 | 8.29 GB | Open Access |
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C5.zip | 2021-09-29 | 2021-09-29 | 16.6 GB | Open Access |
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C6.zip | 2021-09-29 | 2021-09-29 | 16.6 GB | Open Access |
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gitm_routines.py | 2021-09-29 | 2021-09-29 | 2.99 KB | Open Access |
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This data accompanies the manuscript - 'Impacts of Spatially
Varying Eddy Diffusion in the Lower Thermosphere on the Ionosphere
and Thermosphere using GITM - Sensitivity Study'
- by Garima Malhotra, Aaron Ridley
The GITM simulations in this paper are run for 15-17 days depending on
the month. We only provide the files for last 1-2 days of the
simulation, in accordance with the plots shown in the manuscript.
This is because GITM takes around 10-12 days to achieve diurnal
reproducibility.
GITM model- https://www.sciencedirect.com/science/article/pii/S1364682606000071.
GITM GitHub- https://github.com/aaronjridley/GITM (also attached to data set as GITM-Master.zip)
gitm_routines.py- Routine to read in a GITM binary output file.
###################################
Each directory represents the different configurations discussed
in the paper. The control and perturbed simulations for each
configuration are in the subdirectories named as 'control' and
'perturb', respectively.
###################################
The detailed description of each configuration is as follows:
1. C1 with 'control' and 'perturb' subdirectories- Simulation for
NH spring equinox. The control simulation has Kzz=50 m2/s everywhere.
The perturbed simulation has Kzz=150 m2/s for -15<=lat<=15 degrees N,
and 50 m2/s everywhere else.
2. C2 with 'control' and 'perturb' subdirectories- Simulation for NH
spring equinox. Both the control and perturbed simulations have
similar Kzz distribution as the C1 configuration, but with turbulent
conduction off in both. Thus, it represents the effect of Kzz on the
thermosphere entirely by mixing.
3. C3 with 'control' and 'perturb' subdirectories- Simulation for NH
spring equinox. The perturbed simulation has similar Kzz distribution
as the perturbed similation of C1 configuration. The control
simulation has Kzz=74.2 m2/s.
4. C4 with 'control' and 'perturb' subdirectories- Simulation for NH
winter solstice. The control simulation has Kzz=50 m2/s everywhere.
The perturbed simulation has Kzz=150 m2/s for lat>=60 degrees N and
50 m2/s everywhere else.
5. C5 with 'control' and 'perturb' subdirectories- Simulation for NH
summer solstice. The control simulation has Kzz=50 m2/s everywhere.
The perturbed simulation has Kzz=150 m2/s for lat>=60 degrees N and
50 m2/s everywhere else.
6. C6 with 'control' and 'perturb' subdirectories- Simulation for NH
summer solstice. The control simulation has Kzz=50 m2/s everywhere.
The perturbed simulation has Kzz=200 m2/s for lat>=60 degrees N and
lat<=-60 degrees N, Kzz=100 m2/s for -15<=lat<=15 degrees N, and
50 m2/s everywhere else.
To Cite this Work:
Malhotra, G. Dataset for Impacts of Spatially Varying Eddy Diffusion in the Lower Thermosphere on the Ionosphere and Thermosphere using GITM - Sensitivity Study [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/ck13-8r11