Sentinel-5 Precursor

On Tuesday September 24th 2018 I attended a scientific colloquium at DLR Oberpfaffenhofen. The topic, presented by Dr. Diego Loyola of the EOC, was the new satellite Sentinel-5 Precursor with its new instrument, the spectrometer Tropomi. Here is the official website of the Sentinel-5 Precursor of ESA and here a news article by DLR (in german). Sentinel-5 Precursor is part of the Copernicus program.

It was quite fascinating seeing the advancement in technology. The difference between the old instruments like OMI, GOMOS and SCIAMACHY is huge. A factor of 100 in spatial resolution was mentioned. An impressive comparison of the pixel size can be found here (source). The accuracy should be 10 to 15 times better (source is the german podcast auf distanz).

One example even showed how certain measurements (I think it was of SO₂) took one year with one of the older instruments and just one day with the new Tropomi including a better spatial resolution. Incredible!

Tropomi primarily does column retrieval of the ozone (O₃), nitrogen dioxide (NO₂), sulfur dioxide (SO₂), formaldehyde (HCHO), aerosols, clouds, (CO) and methane (CH₄). The podcast mentioned above also mentioned water vapor (H₂O)

The data of Tropomi is public, though I did not try to download them yet. It seems you just have to register here and then you are free to go.

The future will bring another satellite, the Sentinel-4, with similar performance but with a geostationary orbit above Europe. It will deliver an hourly update of the condition of the atmosphere.

http://seom.esa.int/atmos2015/files/presentation79.pdf

I got another chance to see the talk. This time at the LMU and its Institute for Meteorology. The talk took place on February 5th 2019.

motivation stratecic plan for us climage change sicence eartg urban system

korrelation menschen und co2

so2 konnte schnell redztuert werden -> co2 motivation

14 kg luft 1.5 essen und trinken

7 milloin pro jahr sterben an luftverschmutzung

ipcc 2014 dadiative forcing diagramm components of radiative forcing

gome -> sciamachy -> gome 2 metop-a -> metop-b -> sentinel-5p (tropomi beste intrumente weltweit)-> gome 2 metop c -> sentinel 4 -> sentinel 5

cizrtesy cudo fries schönes bild mit spektren der verschiedenen spektren

uv/vis/nir/swir auflösung 3,5 x 7,5 km

sentinel volcanic eruption mount agung 27.11.2017 vergleich tropomi gome

machine learnung merging multi decadel data

the operatilonl cloud retirebel algorthims machine learngin papaer

a nea health check of the ozone layer at gloabel and regional scales trend

increase of cdc-11 from easter asian -> emission of production weng et al. nature, 2017 polution produced -> goods used chart! very interesting!

so2 rduktion weltweit -> waldsterben. china 2005 -> 2016

co natürlich hcho durch bäume .> überall wo urwald ist sommer 2018 ->

wie ist es möglich beim runterschauen troposphere und gesamt ozone zu trennen?

knmi als bildquelle (niederländischs intitut) no2 feuer in Kalifornien so stark wie in innenstadt

methane in nordlichen teil afrika (ab äquator). warum?

so2 in dobesn unit? 10e-1 bis 10e2? was ist DU? nicht dobsen unit? wahrscheinlich schon!s

machine learning full physics inverse learning machine FP_ILM -> deterministisch oder

aerosol mit polarisation

o3 cams ecmwf o3 assimilation?

FP_ILM Effective Scene Albedo

stneinel 4 geo gems 2020 geo asia tempo 2022 usa geo

vorhersagen als teil der normalen wettervorhersage

< to bee continued or at least edited >