Presentation of the PyConEs 2018 talk The Python Space Adventure. Figure out how you can handle Copernicus Atmosphere Monitoring Services, CAMS, data using the python programming language. Repository code could be found on https://github.com/Randbee/the-python-space-adventure Credits: Randbee Consultants (https://randbee.com/)

1. The Python Space Adventure
Gloria Passarello
Github GloryPassarello

4. Source: wcrf.org
Skin cancer by country, 2017
1st New Zeland 2nd Australia
3rd Norway 4th South Africa
HIGH
SOLAR
RADIATION
EXPOSITION

5. UVI 16, 55
February 4th 2018

6. More solar exposition
8-16 years older

7. Main pollutants on
the air we breath

8. Main pollutants on
the air we breath

12. PM values for day 27th September at 18:00 UTC

13. Path of the typhoon
Trami the
September 27th
2018 at 18:00 UTC

15. NOx, UVI and O3 ground level at 12:00 UTC on 22/09/2018

16. NOx, UVI and O3 ground level at 18:00 UTC on 22/09/2018

21. Data on grib format
Hourly
&
5 days forecasting
Simulation
Sentinel 5p

22. GRIBFILES HAVE
4 DIMENTIONS
DATA FROM CAMS 3 DIMENTIONS:
• Latitude
• Longitude
• Altitude
Pollution data are provided in concentration
UVI values are provided in biological effective dose

23. Biological
effective dose
𝑏𝑒𝑑 =
𝐽
𝑠 𝑚2
=
𝑊
𝑚2
𝑈𝑉𝐼 =
𝑏𝑒𝑑
0,025
1 𝑈𝑉𝐼 = 0,025
𝑊
𝑚2
UVI
Code available on:
https://github.com/Randbee/the-python-space-adventure

24. Longitude from 0 to 360 degreesLongitude from -180 to 180 degrees

27. skindex.app

28. THANK YOU FOR
YOUR ATTENTION