Awesome

Weather and Climate Variability Graphics

Repository contains all of the scripts used in making the figures within (https://zacklabe.com/arctic-sea-ice-figures/). Scripts are not intended to be the most efficient or simplest method of plotting and reading data. However, they work for their current purpose. Check back soon for new scripts and/or comments!

Under construction... [Python 3.6]

Contact

Zachary Labe - Research Website - @ZLabe

Description

• bin/: Shell scripts
• Data/: Additional data files not provided by Python URL functions
• Examples/: Arbitrary figures as examples from listed scripts
• Figures/: Output directory for figures produced by the scripts (intentionally empty)
• Scripts/: Main Python scripts/functions used in data analysis and plotting. More details are provided in explainScripts.txt for each script and function.
• Dockerfile: Docker image manifest for building dependencies
• requirements.txt: List of environments and modules associated with the most recent version of this project. A Python Anaconda3 Distribution was used for the analysis. Tools including NCL 6.4.0, CDO, and NCO were also used for initial data manipulation. ImageMagick is used for most of the animations (GIF). All code has been tested with Python 3.6.

Data

Land Ice Data

• GRACE JPL RL05M.1 Mascon Solution: Version 2 : [DATA]
  • Wiese, D. N., D.-N. Yuan, C. Boening, F. W. Landerer, and M. M. Watkins (2016) JPL GRACE Mascon Ocean, Ice, and Hydrology Equivalent HDR Water Height RL05M.1 CRI Filtered Version 2., Ver. 2., PO.DAAC, CA, USA.
  • Watkins, M. M., D. N. Wiese, D. -N. Yuan, C. Boening, and F. W. Landerer (2015), Improved methods for observing Earth's time variable mass distribution with GRACE using spherical cap mascons, J. Geophys. Res. Solid Earth, 120, 2648_2671, doi: 10.1002/2014JB011547. [Publication]

Reanalysis Data

• ERA5 : [DATA]
• ERA-Interim (ERAi): [DATA]
  • Dee, D.P., and co-authors., 2011: The ERA-Interim reanalysis: configuration and performance of the data assimilation system. Quart. J. R. Meteorol. Soc., 137, 553-597, doi:10.1002/qj.828 [Publication]
• ERA-40 : [DATA]
  • Uppala, S. M., and co-authors., 2005: The ERA‐40 re‐analysis. Quarterly Journal of the royal meteorological society, 131(612), 2961-3012, doi:10.1256/qj.04.176 [Publication]
• ERA-20C : [DATA]
  • Poli, P, and co-authors., 2016: ERA-20C: An Atmospheric Reanalysis of the Twentieth Century. J. Climate, 29, 4083–4097, doi: 10.1175/JCLI-D-15-0556.1. [Publication]
• NCEP-DOE Reanalysis 2 (R2): [DATA]
  • M. Kanamitsu, and co-authors., 2002: NCEP-DOE AMIP-II Reanalysis (R-2). Bulletin of the American Meteorological Society, 1631-1643 [Publication]
• NCEP/NCAR Reanalysis 1 (R1): [DATA]
  • Kalnay, E., and co-authors, 1996: The NCEP/NCAR 40-year reanalysis project. Bulletin of the American meteorological Society, 77(3), 437-471 [Publication]
• NOAA-CIRES Twentieth Century Reanalysis (20CRv2c) : [DATA]
  • Compo, G.P., and co-authors., 2011: The Twentieth Century Reanalysis Project. Quarterly J. Roy. Meteorol. Soc., 137, 1-28. DOI: 10.1002/qj.776. [Publication]
• NOAA-CIRES-DOE Twentieth Century Reanalysis (20CRv3) : [DATA]
  • Slivinski, L. C., Compo, G. P., Whitaker, J. S., Sardeshmukh, P. D., Giese, B. S., McColl, C., ... & Kennedy, J. (2019). Towards a more reliable historical reanalysis: Improvements for version 3 of the Twentieth Century Reanalysis system. Quarterly Journal of the Royal Meteorological Society. [Publication]

Sea Ice Concentration/Extent

• AMSR2 (ASI 3.125 km, UAH-processed) : [DATA]
  • Beitsch, A.; Kaleschke, L.; Kern, S. Investigating High-Resolution AMSR2 Sea Ice Concentrations during the February 2013 Fracture Event in the Beaufort Sea, 2014: Remote Sens. 6, 3841-3856, doi:10.3390/rs6053841 [Publication]
• AMSR2 (JAXA Arctic Data archive System, NIPR) : [DATA]
• Gridded Monthly Sea Ice Extent and Concentration, 1850 Onward, Version 1 : [DATA]
  • Walsh, John E., Florence Fetterer, J. Scott Stewart, and William L. Chapman. 2016. A database for depicting Arctic sea ice variations back to 1850. Geographical Review. doi: 10.1111/j.1931-0846.2016.12195.x. [Publication]
• Sea Ice Index, Version 3 : [DATA]
  • Fetterer, F., K. Knowles, W. Meier, M. Savoie, and A. K. Windnagel, 2017: updated daily. Sea Ice Index, Version 3. Boulder, Colorado USA. NSIDC: National Snow and Ice Data Center. doi:http: //dx.doi.org/10.7265/N5K072F8. [Documentation]
• SSMIS Sea Ice Concentration (EUMETSAT OSI SAF) : [DATA]

Sea Ice Thickness

• Pan-Arctic Ice Ocean Modeling and Assimilation System (PIOMAS) : [DATA]
  • Zhang, J., and D. A. Rothrock, 2003: Modeling Global Sea Ice with a Thickness and Enthalpy Distribution Model in Generalized Curvilinear Coordinates. Monthly Weather Review, 131 (5), 845–861, doi:10.1175/1520-0493(2003)131<0845:MGSIWA>2.0.CO;2 [Publication]

Sea Surface Temperatures

• Extended Reconstructed Sea Surface Temperature (ERSST) v5 : [DATA]
  • Huang, B., Peter W. Thorne, et. al, 2017: Extended Reconstructed Sea Surface Temperature version 5 (ERSSTv5), Upgrades, validations, and intercomparisons. J. Climate, doi: 10.1175/JCLI-D-16-0836.1 [Publication]
• NOAA Optimum Interpolation Sea Surface Temperature High Resolution (OISST) v2 : [DATA]
  • Reynolds, Richard W., Thomas M. Smith, Chunying Liu, Dudley B. Chelton, Kenneth S. Casey, Michael G. Schlax, 2007: Daily High-Resolution-Blended Analyses for Sea Surface Temperature. J. Climate, 20, 5473-5496. doi: 10.1175/2007JCLI1824.1 [Publication]

Docker

Build image

Build an image containing all the dependencies by running bin/build_image.sh. Takes optional VERSION environment variable, defaults to 'latest'. Designed to be used with a volume mount to the repository root so that scripts can be modified without rebuilding the image.

Run scripts in container

Once the image has been built run bin/run_container.sh <script path>. Also takes optional VERSION environment variable, defaults to 'latest'. Figures will be written to the local Figures directory.

Example: bin/run_container.sh Scripts/Temperature/plot_ArcticTemperatures_Reanalysis.py