Work Description

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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Attribute Value
Methodology
  • The GITM simulations used in this study are run for 15 - 17 days depending on the month. We only attach the files for the last 1-2 days of the simulations, in accordance with the plots in the manuscript. This is done because GITM takes ~10 - 12 days to achieve diurnal reproducibility. Three time periods are chosen for this analysis: around March Equinox (2010/03/15 - 2010/04/02), around June Solstice (2010/06/15 - 2010/07/02), and around December solstice (2010/12/15 - 2010/12/30). We use time-varying geomagnetic indices (F10.7, IMF, HP) representing realistic conditions. In the manuscript, the results are primarily shown as the differences between perturbed simulations with spatially varying Kzz and control simulations with globally uniform Kzz. These are collectively referred to as ”configurations”. Thus, each directory in the dataset corresponds to a specific configuration with control and perturbed simulations in the respective subdirectories. More details about each configuration are summarized in Table 1 of the manuscript.
Description
  • The goal of this research study is to understand the sensitivity of the IT region to the spatial variation of Kzz. This is done using the IT model, GITM, with different settings and spatial distributions for Kzz. We introduce latitudinal bands (longitudinally uniform) of 30 degrees width at equatorial and polar latitudes during different seasons similar to the previous observations in literature. We investigate the mechanisms through which a non-uniform global distribution of Kzz can alter the dynamics and thermal structure of the thermosphere, and how these effects compare to when a globally uniform value of Kzz is used.
Creator
Depositor
  • garimam@umich.edu
Contact information
Discipline
Funding agency
  • National Aeronautics and Space Administration (NASA)
Keyword
Citations to related material
  • Malhotra, G., Ridley, A.J. (2021). Impacts of Spatially Varying Eddy Diffusion in the Lower Thermosphere on the Ionosphere and Thermosphere using GITM - Sensitivity Study.
  • A.J. Ridley, Y. Deng, G. Tóth, The global ionosphere–thermosphere model, Journal of Atmospheric and Solar-Terrestrial Physics, Volume 68, Issue 8, 2006, Pages 839-864, ISSN 1364-6826, https://doi.org/10.1016/j.jastp.2006.01.008.
Resource type
Last modified
  • 11/18/2022
Published
  • 09/30/2021
DOI
  • https://doi.org/10.7302/ck13-8r11
License
To Cite this Work:
Malhotra, G., Ridley, A. J. (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)

Thumbnailthumbnail-column Title Original Upload Last Modified File Size Access Actions
readme.txt 2021-09-29 2021-09-30 2.84 KB Open Access
C1.zip 2021-09-29 2021-09-29 16.6 GB Open Access
C2.zip 2021-09-29 2021-09-29 16.6 GB Open Access
C3.zip 2021-09-29 2021-09-29 16.6 GB Open Access
C4.zip 2021-09-29 2021-09-29 8.29 GB Open Access
C5.zip 2021-09-29 2021-09-29 16.6 GB Open Access
C6.zip 2021-09-29 2021-09-29 16.6 GB Open Access
gitm_routines.py 2021-09-29 2021-09-29 2.99 KB Open Access

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

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