This repository contains a variety of Python tutorials and lectures I've used in climate/atmospheric sciences. Check back soon!

Zachary Labe - Research Website - @ZLabe

• [8] Timmermans, M.-L. and Z.M. Labe (2023). Sea surface temperature [in “Arctic Report Card 2023”], NOAA, DOI:110.25923/e8jc-f342 [HTML][BibTeX]
• [7] Timmermans, M.-L. and Z.M. Labe (2023). [The Arctic] Sea surface temperature [in “State of the Climate in 2022”]. Bull. Amer. Meteor. Soc., DOI:10.1175/BAMS-D-23-0079.1 [HTML][BibTeX]
• [6] Timmermans, M.-L. and Z.M. Labe (2022). Sea surface temperature [in “Arctic Report Card 2022”], NOAA, DOI:10.25923/p493-2548 [HTML][BibTeX]
• [5] Timmermans, M.-L. and Z.M. Labe (2022). [The Arctic] Sea surface temperature [in “State of the Climate in 2021”]. Bull. Amer. Meteor. Soc., DOI:10.1175/BAMS-D-22-0082.1 [HTML][BibTeX]
• [4] Timmermans, M.-L. and Z.M. Labe (2021). Sea surface temperature [in “Arctic Report Card 2021”], NOAA, DOI:10.25923/2y8r-0e49 [HTML][BibTeX]
• [3] Timmermans, M.-L. and Z.M. Labe (2021). [The Arctic] Sea surface temperature [in “State of the Climate in 2020”]. Bull. Amer. Meteor. Soc., DOI:10.1175/BAMS-D-21-0086.1 [HTML][BibTeX]
• [2] Timmermans, M.-L. and Z.M. Labe (2020). Sea surface temperature [in “Arctic Report Card 2020”], NOAA, DOI:10.25923/v0fs-m920 [HTML][BibTeX]
• [1] Timmermans, M.-L., Z.M. Labe, and C. Ladd (2020). [The Arctic] Sea surface temperature [in “State of the Climate in 2019”], Bull. Amer. Meteor. Soc., DOI:10.1175/BAMS-D-20-0086.1 [HTML][BibTeX]

• ScienceVisuals/: Lectures on improving science figures
  • LineGraph/: Script on improving line graphs
  • MapGraph/ : Script on improving map plots
  • Presentations/: Powerpoints on discussing science visualization [SlideShare]
• Data/: Additional data files not provided by Python URL functions
• Figures/: Arbitrary figures as examples from listed scripts
• Scripts/: Main Python scripts/functions used in data analysis and plotting.
• 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.

• Berkeley Earth Surface Temperature Project (BEST) : [DATA]
  • Rohde, R., et al. "A new estimate of the average Earth surface land temperature spanning 1753 to 2011. Geoinfor Geostat Overview 1: 1." of 7 (2013): 2. [Publication]
• Cowtan and Way surface temperature record (C&W) : [DATA]
  • Cowtan, Kevin, and Robert G. Way. "Coverage bias in the HadCRUT4 temperature series and its impact on recent temperature trends." Quarterly Journal of the Royal Meteorological Society 140.683 (2014): 1935-1944. [Publication]
• Hadley Centre/CRU gridded surface temperature data set version 4 (HadCRUT4) : [DATA]
  • Morice, Colin P., et al. "Quantifying uncertainties in global and regional temperature change using an ensemble of observational estimates: The HadCRUT4 data set." Journal of Geophysical Research: Atmospheres 117.D8 (2012). [Publication]
• NASA GISS Surface Temperature Analysis (GISTEMP) : [DATA]
  • Hansen, James, et al. "Global surface temperature change." Reviews of Geophysics 48.4 (2010). [Publication]
• NOAA Merged Land Ocean Global Surface Temperature (NOAAGlobalTemp) : [DATA]
  • Vose, Russell S., et al. "NOAA's merged land–ocean surface temperature analysis." Bulletin of the American Meteorological Society 93.11 (2012): 1677-1685. [Publication]

• ERA5 : [DATA]
• 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 Optimum Interpolation Sea Surface Temperature V2 (OISSTv2): [DATA]
  • Reynolds, R. W., Rayner, N. A., Smith, T. M., Stokes, D. C., & Wang, W. (2002). An improved in situ and satellite SST analysis for climate. Journal of climate, 15(13), 1609-1625. [Publication]