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Case Sudy for "Integrated Geosciences Observatory: A software solution to remove barriers to collaboration and achieve computational reproducibility in geospace sciences"

Bhatt, Asti; Valentic, Todd; Reimer, Ashton; Lamarche, Leslie; Reyes, Pablo; Cosgrove, Russell

Resen bucket for producing the case study shown in "Integrated Geosciences Observatory: A software solution to remove barriers to collaboration and achieve computational reproducibility in geospace sciences", submitted to Journal of Space Weather and Space Climate, December 2019.  This can be run by downloading the case_study.tar file and using the import command in Resen.  Information about how to use and install resen can be found at https://resen.readthedocs.io/en/latest/.

The following datasets were used in this research:

MANGO:

Bhatt, A. and Kendell, E. (2015).  Data from the MANGO database.  Available from https://mangonetwork.org/ (Last accessed 25 November 2019).

OMNI:

We acknowledge use of NASA/GSFC's Space Physics Data Facility's OMNIWeb (or CDAWeb or ftp) service, and OMNI data.

King, J.H. and N.E. Papitashvili, Solar wind spatial scales in and comparisons of hourly Wind and ACE plasma and magnetic field data, J. Geophys. Res., 110, A02104, 2005.

SuperMAG:

Gjerloev, J. W. (2012), The SuperMAG data processing technique, J. Geophys. Res., 117, A09213, doi:10.1029/2012JA017683.

Mann, I. R., et al. (2008), The upgraded CARISMA magnetometer array in the THEMIS era, Space Sci. Rev., 141, 413–451, doi:10.1007/s11214-008-9457-6.

TEC:

Anthea Coster, MIT/Haystack Observatory. (2015) Data from the CEDAR Madrigal database. Available from https://w3id.org/cedar?experiment_list=experiments3/2015/gps/07nov15&file_list=gps151107g.002.hdf5

FPI:

Makela J. (2015). Data from the CEDAR Madrigal database, CEDAR Madrigal Database. Available from https://w3id.org/ cedar?experiment_list=experiments/2015/uao/06nov15&file_list= minime05_uao_20151106.cedar.002.hdf5 (Last accessed 25 November 2019).

Makela J. (2015). Data from the CEDAR Madrigal database, CEDAR Madrigal Database. Available from https://w3id.org/ cedar?experiment_list=experiments/2015/ann/06nov15&file_list= minime08_ann_20151106.cedar.003.hdf5 (Last accessed 25 November 2019).

SuperDARN:

Greenwald, R.A., Baker, K.B., Dudeney, J.R. et al. Space Sci Rev (1995) 71: 761. doi:10.1007/BF00751350

 

The following software was used in this project:

Resen:

Integrated Geoscience Observatory Team. 2019a. Resen. Version 2019.1.0rc2. Available from https://github.com/EarthCubeInGeo/ resen (Last accessed 6 December 2019).

Integrated Geoscience Observatory Team. 2019b. Resen-core. Version 2019.1.0rc2. Available from https://github.com/ EarthCubeInGeo/resen-core (Last accessed 6 December 2019)

MadrigalWeb:

Rideout W. 2017. MadrigalWeb. Version 3.1.11. Available from https:// pypi.org/project/madrigalWeb/ (Last accessed 6 December 2019).

numpy:

Stéfan van der Walt, S. Chris Colbert and Gaël Varoquaux. The NumPy Array: A Structure for Efficient Numerical Computation, Computing in Science & Engineering, 13, 22-30 (2011), DOI:10.1109/MCSE.2011.37

matplotlib:

John D. Hunter. Matplotlib: A 2D Graphics Environment, Computing in Science & Engineering, 9, 90-95 (2007), DOI:10.5281/zenodo.3264781

h5py:

A. Collette, Python and HDF5, O'Reilly (2014) (http://shop.oreilly.com/product/0636920030249.do)

cartopy:

Cartopy. v0.11.2. 22-Aug-2014. Met Office. Exeter, Devon, UK. https://github.com/SciTools/cartopy/archive/v0.11.2.tar.gz

mangopy:

Lamarche, L. J., Bhatt, A., Reimer, A., and Reyes, P. (2019). mangopy. May 2019.

pydarn:

Schmidt, M.T., Detwiller, M.H., Billet, D.D., Bland, E. C., Burrell, A. G., Kotyk, K., Peters, D. GO., Reimer, A. S., Sterne, K. T., and Thomas, E. G. (2020). pyDARN, v1.0.0, January 2020.

 

This work was supported by the US National Science Foundation grants ICER-1541057 and CSSI-1835573 to SRI International.
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