Information sources

In order to help others (and ourselves) to be informed, this is a place to collect external sources of information. Please feel free to add content!

Data

• ESA, Copernicus data hub, satellite raster data https://scihub.copernicus.eu/
  • Sentinel 5P http://www.tropomi.eu/data-products
• NASA/USGS, earth explorer, satellite raster data https://earthexplorer.usgs.gov/
• natural earth data, mostly basic vector data https://www.naturalearthdata.com/
• user-annotated maps from https://www.openstreetmap.org
• Open Infrastructure Map https://openinframap.org
• List of climate data http://openclimatedata.net

Visualization

• History of average temperature on earth https://xkcd.com/1732/
• Climate spirals
  • http://openclimatedata.net/climate-spirals/
  • http://www.climate-lab-book.ac.uk/spirals/
• Visualliy mapping data onto a map
  • A lot of different datasets, currents, temperature, particles, trace gases https://earth.nullschool.net/
  • Air qualitiy https://waqi.info/
  • Air qualitiy http://deutschland.maps.luftdaten.info/#6/51.165/10.455

Scientific work, Studies

• Historic
  • John Tyndall 1862 https://archive.org/details/contributionsto01tyndgoog
  • Svante Arrhenius, 1896 http://www.rsc.org/images/Arrhenius1896_tcm18-173546.pdf
  • https://www.youtube.com/watch?v=Le0n4mCRkzY
  • Svante Arrhenius, 1908, pages 51 to 63 https://ia800307.us.archive.org/7/items/worldsinmakingev00arrhrich/worldsinmakingev00arrhrich.pdf
  • Guy Stewart Callendar, 1937 http://www.met.reading.ac.uk/~ed/callendar_1938.pdf
• Microparticles
  • Sources of microparticles (in german) https://www.umsicht.fraunhofer.de/content/dam/umsicht/de/dokumente/publikationen/2018/kunststoffe-id-umwelt-konsortialstudie-mikroplastik.pdf
• Energy Watch Group: Global Energy System based on 100% Renewable Energy

Weather services

• DWD, Deutscher Wetterdienst, https://www.dwd.de
• ECMWF, European Centre for Medium-Range Weather Forecasts, https://www.ecmwf.int/
• https://climatereanalyzer.org/wx/fcst/#gfs.world-ced.t2anom
• Framework to read weather forecasts: https://jswhit.github.io/pygrib/docs/

Energy

• Grid
  • ENTSO-E, European Network of Transmission System Operators for Electricity, https://www.entsoe.eu/
  • https://www.electricitymap.org
  • https://github.com/JuliaEnergy/PowerDynamics.jl
  • https://www.energy-charts.de/index.htm
  • Framework for simulation: https://oemof.org/libraries/
• Renewable energy
  • https://libre.solar/ photovoltaic Open Source Renewable Energy Hardware

Mobility

TBA

Financial sector

TBA

Publications, News, Blogs

• https://www.youtube.com/watch?v=x1ph_7C1Jq4&t=2944
• https://www.nytimes.com/interactive/2018/08/01/magazine/climate-change-losing-earth.html
• blog on climate science, energy transition and society, caring about distribution of scientific results https://clisciety.wordpress.com/
• What can a technologist do about climate change http://worrydream.com/ClimateChange/
• Fluter: Klimawandel (german)
• DWD Promet Magazin

Podcasts

• English
  • Climate Change Podcasters Unite! 8 Climate Pods, 8 Amazing Stories! (podcast mash up)
  • Crazy Town Podcast (post carbon institute)
  • Warm Regards Podcast (Soundcloud)
• German
  • Forschergeist Podcast (Suchbegriff Klimawandel)

Games, Gamification

• https://www.imagineearth.info/

Events

• https://bits-und-baeume.org/

Projects, Groups

• Deforestation is responsible for a lot of carbon emissions. Protecting trees is hard. Predict deforestation with AI using satellite images. http://gainforest.org/
• parcel logistics using cargo bikes and electric cars http://cyclever.de/
• https://hiveeyes.org/ Monitoring of bee hives
• https://rehab-republic.de/ (located in Munich)
• https://ingenieure-ohne-grenzen.org/

Ecology

• https://ecologicaldata.org/find-data
• Repository for research data underlying scientific publications, incl. plenty of ecological data: www.datadryad.org
• Biotechnology
  • NCBI, National Center for Biotechnology Information, https://www.ncbi.nlm.nih.gov/
  • NCBI is mostly for biomedical and biotechnological data; however, some of the datasets in the SRA (Sequence Read Archive - https://www.ncbi.nlm.nih.gov/sra) are ecological in nature, meaning that they contain DNA/RNA data gathered from habitats. However, it is some work to find out which datasets are helpful for us
• Animals
  • Global database for tracking data of animals by MPI, www.movebank.org
• Plants
  • Curated global database for plant traits by MPI, www.try-db.org
• Light pollution
  • Global Light Pollution Data http://ngdc.noaa.gov/eog/viirs.html (is currently down because of the US government shutdown)
• Microbial
  • Different Large-Scale Microbial Ecology Projects (with very spotty data, and usually no timeseries):
  • Tara Oceans: Microbial Ecology data from Oceans https://oceans.taraexpeditions.org/en/m/about-tara/les-expeditions/tara-oceans/ and https://www.ebi.ac.uk/services/tara-oceans-data
  • Earth Microbiome Project http://www.earthmicrobiome.org/data-and-code/