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#era5 — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #era5, aggregated by home.social.

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  1. Explore near-real-time climate data and trends, and create graphics based on our #ERA5 data with Climate Pulse: pulse.climate.copernicus.eu/

  2. Explore near-real-time climate data and trends, and create graphics based on our #ERA5 data with Climate Pulse: pulse.climate.copernicus.eu/

  3. Explore near-real-time climate data and trends, and create graphics based on our #ERA5 data with Climate Pulse: pulse.climate.copernicus.eu/

  4. Explore near-real-time climate data and trends, and create graphics based on our #ERA5 data with Climate Pulse: pulse.climate.copernicus.eu/

  5. Explore near-real-time climate data and trends, and create graphics based on our #ERA5 data with Climate Pulse: pulse.climate.copernicus.eu/

  6. RE: mementomori.social/@juergen_hu

    Als Ergänzung: Die #ERA5 -Daten sind über eine #API erreichbar, und in unserer lokalen AG Klimaschutz hat auch jemand Skripte zum Auslesen entwickelt.

    Theoretisch sollte es also für die #Grünen möglich sein, mit relativ überschaubaren Aufwand lokalisierte Klimadaten für #Kommunalwahlen im großen Stil zu erzeugen.

    Und für Umweltschutz-Verbände wie #BUND , #NABU etc. wäre das vielleicht auch interessant.

    #Klimawandel

  7. RE: mementomori.social/@juergen_hu

    Als Ergänzung: Die #ERA5 -Daten sind über eine #API erreichbar, und in unserer lokalen AG Klimaschutz hat auch jemand Skripte zum Auslesen entwickelt.

    Theoretisch sollte es also für die #Grünen möglich sein, mit relativ überschaubaren Aufwand lokalisierte Klimadaten für #Kommunalwahlen im großen Stil zu erzeugen.

    Und für Umweltschutz-Verbände wie #BUND , #NABU etc. wäre das vielleicht auch interessant.

    #Klimawandel

  8. RE: mementomori.social/@juergen_hu

    Als Ergänzung: Die #ERA5 -Daten sind über eine #API erreichbar, und in unserer lokalen AG Klimaschutz hat auch jemand Skripte zum Auslesen entwickelt.

    Theoretisch sollte es also für die #Grünen möglich sein, mit relativ überschaubaren Aufwand lokalisierte Klimadaten für #Kommunalwahlen im großen Stil zu erzeugen.

    Und für Umweltschutz-Verbände wie #BUND , #NABU etc. wäre das vielleicht auch interessant.

    #Klimawandel

  9. RE: mementomori.social/@juergen_hu

    Als Ergänzung: Die #ERA5 -Daten sind über eine #API erreichbar, und in unserer lokalen AG Klimaschutz hat auch jemand Skripte zum Auslesen entwickelt.

    Theoretisch sollte es also für die #Grünen möglich sein, mit relativ überschaubaren Aufwand lokalisierte Klimadaten für #Kommunalwahlen im großen Stil zu erzeugen.

    Und für Umweltschutz-Verbände wie #BUND , #NABU etc. wäre das vielleicht auch interessant.

    #Klimawandel

  10. RE: mementomori.social/@juergen_hu

    Als Ergänzung: Die #ERA5 -Daten sind über eine #API erreichbar, und in unserer lokalen AG Klimaschutz hat auch jemand Skripte zum Auslesen entwickelt.

    Theoretisch sollte es also für die #Grünen möglich sein, mit relativ überschaubaren Aufwand lokalisierte Klimadaten für #Kommunalwahlen im großen Stil zu erzeugen.

    Und für Umweltschutz-Verbände wie #BUND , #NABU etc. wäre das vielleicht auch interessant.

    #Klimawandel

  11. In #Oldenburg sind bald #Kommunalwahlen .

    Und da wir #Grünen natürlich über den #Klimawandel reden wollen, haben wir uns diesmal was ausgedacht: Wir haben historische Wetterdaten aus dem #ERA5 - Datensatz _für Oldenburg_ ausgewertet, und die grafisch dargestellt.

    Wir dachten uns, daß "globaler Klimawandel" etwas abstrakt ist, aber wenn man sieht, wie sich das Klima hier am eigenen Ort verändert haben, dann nimmt man das vieleicht eher als relevant war.

    Und Temperaturdaten sind nur eine Möglichkeit von vielen - da gibt es Daten zu Niederschlägen, Windgeschwindigkeit, Bodenfeuchtigkeit, und viel mehr. Ich denke, andere Ortsgruppen der Grünen könnten vielleicht auch etwas mit diesen Daten machen.

    Was meint ihr?

    #Wahlkampf
    gruene-oldenburg.de/wahlen/kli

  12. In #Oldenburg sind bald #Kommunalwahlen .

    Und da wir #Grünen natürlich über den #Klimawandel reden wollen, haben wir uns diesmal was ausgedacht: Wir haben historische Wetterdaten aus dem #ERA5 - Datensatz _für Oldenburg_ ausgewertet, und die grafisch dargestellt.

    Wir dachten uns, daß "globaler Klimawandel" etwas abstrakt ist, aber wenn man sieht, wie sich das Klima hier am eigenen Ort verändert haben, dann nimmt man das vieleicht eher als relevant war.

    Und Temperaturdaten sind nur eine Möglichkeit von vielen - da gibt es Daten zu Niederschlägen, Windgeschwindigkeit, Bodenfeuchtigkeit, und viel mehr. Ich denke, andere Ortsgruppen der Grünen könnten vielleicht auch etwas mit diesen Daten machen.

    Was meint ihr?

    #Wahlkampf
    gruene-oldenburg.de/wahlen/kli

  13. In #Oldenburg sind bald #Kommunalwahlen .

    Und da wir #Grünen natürlich über den #Klimawandel reden wollen, haben wir uns diesmal was ausgedacht: Wir haben historische Wetterdaten aus dem #ERA5 - Datensatz _für Oldenburg_ ausgewertet, und die grafisch dargestellt.

    Wir dachten uns, daß "globaler Klimawandel" etwas abstrakt ist, aber wenn man sieht, wie sich das Klima hier am eigenen Ort verändert haben, dann nimmt man das vieleicht eher als relevant war.

    Und Temperaturdaten sind nur eine Möglichkeit von vielen - da gibt es Daten zu Niederschlägen, Windgeschwindigkeit, Bodenfeuchtigkeit, und viel mehr. Ich denke, andere Ortsgruppen der Grünen könnten vielleicht auch etwas mit diesen Daten machen.

    Was meint ihr?

    #Wahlkampf
    gruene-oldenburg.de/wahlen/kli

  14. In #Oldenburg sind bald #Kommunalwahlen .

    Und da wir #Grünen natürlich über den #Klimawandel reden wollen, haben wir uns diesmal was ausgedacht: Wir haben historische Wetterdaten aus dem #ERA5 - Datensatz _für Oldenburg_ ausgewertet, und die grafisch dargestellt.

    Wir dachten uns, daß "globaler Klimawandel" etwas abstrakt ist, aber wenn man sieht, wie sich das Klima hier am eigenen Ort verändert haben, dann nimmt man das vieleicht eher als relevant war.

    Und Temperaturdaten sind nur eine Möglichkeit von vielen - da gibt es Daten zu Niederschlägen, Windgeschwindigkeit, Bodenfeuchtigkeit, und viel mehr. Ich denke, andere Ortsgruppen der Grünen könnten vielleicht auch etwas mit diesen Daten machen.

    Was meint ihr?

    #Wahlkampf
    gruene-oldenburg.de/wahlen/kli

  15. In #Oldenburg sind bald #Kommunalwahlen .

    Und da wir #Grünen natürlich über den #Klimawandel reden wollen, haben wir uns diesmal was ausgedacht: Wir haben historische Wetterdaten aus dem #ERA5 - Datensatz _für Oldenburg_ ausgewertet, und die grafisch dargestellt.

    Wir dachten uns, daß "globaler Klimawandel" etwas abstrakt ist, aber wenn man sieht, wie sich das Klima hier am eigenen Ort verändert haben, dann nimmt man das vieleicht eher als relevant war.

    Und Temperaturdaten sind nur eine Möglichkeit von vielen - da gibt es Daten zu Niederschlägen, Windgeschwindigkeit, Bodenfeuchtigkeit, und viel mehr. Ich denke, andere Ortsgruppen der Grünen könnten vielleicht auch etwas mit diesen Daten machen.

    Was meint ihr?

    #Wahlkampf
    gruene-oldenburg.de/wahlen/kli

  16. #Europe 's June 2026 #heatwave is now an animated #map built from real #ERA5 #weather #data.

    The color scale runs from -6°C to 43°C across the whole month.

    Credits: #linkedin profile of Randy Olson, Ph.D. ( Co-Founder & CTO, Goodeye Labs)

    #visualization #datascience #eu #climatechange

  17. #Europe 's June 2026 #heatwave is now an animated #map built from real #ERA5 #weather #data.

    The color scale runs from -6°C to 43°C across the whole month.

    Credits: #linkedin profile of Randy Olson, Ph.D. ( Co-Founder & CTO, Goodeye Labs)

    #visualization #datascience #eu #climatechange

  18. #Europe 's June 2026 #heatwave is now an animated #map built from real #ERA5 #weather #data.

    The color scale runs from -6°C to 43°C across the whole month.

    Credits: #linkedin profile of Randy Olson, Ph.D. ( Co-Founder & CTO, Goodeye Labs)

    #visualization #datascience #eu #climatechange

  19. #Europe 's June 2026 #heatwave is now an animated #map built from real #ERA5 #weather #data.

    The color scale runs from -6°C to 43°C across the whole month.

    Credits: #linkedin profile of Randy Olson, Ph.D. ( Co-Founder & CTO, Goodeye Labs)

    #visualization #datascience #eu #climatechange

  20. #Europe 's June 2026 #heatwave is now an animated #map built from real #ERA5 #weather #data.

    The color scale runs from -6°C to 43°C across the whole month.

    Credits: #linkedin profile of Randy Olson, Ph.D. ( Co-Founder & CTO, Goodeye Labs)

    #visualization #datascience #eu #climatechange

  21. Scientists See More Vegetation In The Himalayas - But It Is Not Good News, Because That Extra “Green” Can Disrupt Water, Snow, And High-Mountain Biodiversity | Plants Growing Higher Across Himalaya As Climate Warms
    (Vegetation On The Move: Elevational Shifts And Greening Dynamics Across The Himalayan Alpine Zone)
    --
    ecoticias.com/en/scientists-se <-- shared technical article
    --
    news.exeter.ac.uk/faculty-of-e <-- shared technical newsitem
    --
    doi.org/10.1002/ecog.08259 <-- shared (2026) paper
    --
    doi.org/10.1111/gcb.14919 <-- shared (2020) paper
    --
    “For years, the biggest climate warning from the Himalaya was easy to picture because glaciers were shrinking on the roof of Asia. Now, researchers are pointing to a quieter signal, one that can look almost harmless from a distance. The mountains are getting greener.
    New research [link above] shows alpine vegetation moving higher across six Himalayan regions from 1999 to 2022, pushed in part by warming and reduced snow depth. That might sound like nature recovering, but in this fragile landscape, more plant cover at extreme heights may change how snow is stored, how water runs downhill, and how rivers behave for communities far below…”
    #GIS #spatial #mapping #remotesensing #earthobservation #satellite #landsat #landcover #NDVI #Himalaya #Nepal #India #Bhutan #climatechange #glacier #vegetation #alpine #level #greening #spatialanalysis #spatiotemporal #snow #water #ice #hydrography #hydrology #ecosystems #humaninpacts #phenology #model #modeling #HighMountainAsia #greenness #ERA5 #vegetationline #altitude #climatictrends #warming #precipitation #rainfall

  22. Scientists See More Vegetation In The Himalayas - But It Is Not Good News, Because That Extra “Green” Can Disrupt Water, Snow, And High-Mountain Biodiversity | Plants Growing Higher Across Himalaya As Climate Warms
    (Vegetation On The Move: Elevational Shifts And Greening Dynamics Across The Himalayan Alpine Zone)
    --
    ecoticias.com/en/scientists-se <-- shared technical article
    --
    news.exeter.ac.uk/faculty-of-e <-- shared technical newsitem
    --
    doi.org/10.1002/ecog.08259 <-- shared (2026) paper
    --
    doi.org/10.1111/gcb.14919 <-- shared (2020) paper
    --
    “For years, the biggest climate warning from the Himalaya was easy to picture because glaciers were shrinking on the roof of Asia. Now, researchers are pointing to a quieter signal, one that can look almost harmless from a distance. The mountains are getting greener.
    New research [link above] shows alpine vegetation moving higher across six Himalayan regions from 1999 to 2022, pushed in part by warming and reduced snow depth. That might sound like nature recovering, but in this fragile landscape, more plant cover at extreme heights may change how snow is stored, how water runs downhill, and how rivers behave for communities far below…”
    #GIS #spatial #mapping #remotesensing #earthobservation #satellite #landsat #landcover #NDVI #Himalaya #Nepal #India #Bhutan #climatechange #glacier #vegetation #alpine #level #greening #spatialanalysis #spatiotemporal #snow #water #ice #hydrography #hydrology #ecosystems #humaninpacts #phenology #model #modeling #HighMountainAsia #greenness #ERA5 #vegetationline #altitude #climatictrends #warming #precipitation #rainfall

  23. Scientists See More Vegetation In The Himalayas - But It Is Not Good News, Because That Extra “Green” Can Disrupt Water, Snow, And High-Mountain Biodiversity | Plants Growing Higher Across Himalaya As Climate Warms
    (Vegetation On The Move: Elevational Shifts And Greening Dynamics Across The Himalayan Alpine Zone)
    --
    ecoticias.com/en/scientists-se <-- shared technical article
    --
    news.exeter.ac.uk/faculty-of-e <-- shared technical newsitem
    --
    doi.org/10.1002/ecog.08259 <-- shared (2026) paper
    --
    doi.org/10.1111/gcb.14919 <-- shared (2020) paper
    --
    “For years, the biggest climate warning from the Himalaya was easy to picture because glaciers were shrinking on the roof of Asia. Now, researchers are pointing to a quieter signal, one that can look almost harmless from a distance. The mountains are getting greener.
    New research [link above] shows alpine vegetation moving higher across six Himalayan regions from 1999 to 2022, pushed in part by warming and reduced snow depth. That might sound like nature recovering, but in this fragile landscape, more plant cover at extreme heights may change how snow is stored, how water runs downhill, and how rivers behave for communities far below…”
    #GIS #spatial #mapping #remotesensing #earthobservation #satellite #landsat #landcover #NDVI #Himalaya #Nepal #India #Bhutan #climatechange #glacier #vegetation #alpine #level #greening #spatialanalysis #spatiotemporal #snow #water #ice #hydrography #hydrology #ecosystems #humaninpacts #phenology #model #modeling #HighMountainAsia #greenness #ERA5 #vegetationline #altitude #climatictrends #warming #precipitation #rainfall

  24. Scientists See More Vegetation In The Himalayas - But It Is Not Good News, Because That Extra “Green” Can Disrupt Water, Snow, And High-Mountain Biodiversity | Plants Growing Higher Across Himalaya As Climate Warms
    (Vegetation On The Move: Elevational Shifts And Greening Dynamics Across The Himalayan Alpine Zone)
    --
    ecoticias.com/en/scientists-se <-- shared technical article
    --
    news.exeter.ac.uk/faculty-of-e <-- shared technical newsitem
    --
    doi.org/10.1002/ecog.08259 <-- shared (2026) paper
    --
    doi.org/10.1111/gcb.14919 <-- shared (2020) paper
    --
    “For years, the biggest climate warning from the Himalaya was easy to picture because glaciers were shrinking on the roof of Asia. Now, researchers are pointing to a quieter signal, one that can look almost harmless from a distance. The mountains are getting greener.
    New research [link above] shows alpine vegetation moving higher across six Himalayan regions from 1999 to 2022, pushed in part by warming and reduced snow depth. That might sound like nature recovering, but in this fragile landscape, more plant cover at extreme heights may change how snow is stored, how water runs downhill, and how rivers behave for communities far below…”
    #GIS #spatial #mapping #remotesensing #earthobservation #satellite #landsat #landcover #NDVI #Himalaya #Nepal #India #Bhutan #climatechange #glacier #vegetation #alpine #level #greening #spatialanalysis #spatiotemporal #snow #water #ice #hydrography #hydrology #ecosystems #humaninpacts #phenology #model #modeling #HighMountainAsia #greenness #ERA5 #vegetationline #altitude #climatictrends #warming #precipitation #rainfall

  25. Scientists See More Vegetation In The Himalayas - But It Is Not Good News, Because That Extra “Green” Can Disrupt Water, Snow, And High-Mountain Biodiversity | Plants Growing Higher Across Himalaya As Climate Warms
    (Vegetation On The Move: Elevational Shifts And Greening Dynamics Across The Himalayan Alpine Zone)
    --
    ecoticias.com/en/scientists-se <-- shared technical article
    --
    news.exeter.ac.uk/faculty-of-e <-- shared technical newsitem
    --
    doi.org/10.1002/ecog.08259 <-- shared (2026) paper
    --
    doi.org/10.1111/gcb.14919 <-- shared (2020) paper
    --
    “For years, the biggest climate warning from the Himalaya was easy to picture because glaciers were shrinking on the roof of Asia. Now, researchers are pointing to a quieter signal, one that can look almost harmless from a distance. The mountains are getting greener.
    New research [link above] shows alpine vegetation moving higher across six Himalayan regions from 1999 to 2022, pushed in part by warming and reduced snow depth. That might sound like nature recovering, but in this fragile landscape, more plant cover at extreme heights may change how snow is stored, how water runs downhill, and how rivers behave for communities far below…”

  26. just seen some side by side comparisons of surface fields from #ERA6 and #ERA5... 🤯

  27. just seen some side by side comparisons of surface fields from #ERA6 and #ERA5... 🤯

  28. just seen some side by side comparisons of surface fields from #ERA6 and #ERA5... 🤯

  29. just seen some side by side comparisons of surface fields from #ERA6 and #ERA5... 🤯

  30. just seen some side by side comparisons of surface fields from #ERA6 and #ERA5... 🤯

  31. Carlo Buontempo, Director of the Copernicus Climate Change Service (C3S) @ECMWF emphasises how the global average temperature exceeded 1.5°C over a three-year period (2023–2025) – the first time in the #ERA5 record – bringing us closer to the Paris Agreement threshold.

    Explore the Global Climate Highlights 2025 report ➡️ climate.copernicus.eu/global-c

    @ECMWF @CopernicusEU @carlo_mastodon

  32. Carlo Buontempo, Director of the Copernicus Climate Change Service (C3S) @ECMWF emphasises how the global average temperature exceeded 1.5°C over a three-year period (2023–2025) – the first time in the #ERA5 record – bringing us closer to the Paris Agreement threshold.

    Explore the Global Climate Highlights 2025 report ➡️ climate.copernicus.eu/global-c

    @ECMWF @CopernicusEU @carlo_mastodon

  33. Carlo Buontempo, Director of the Copernicus Climate Change Service (C3S) @ECMWF emphasises how the global average temperature exceeded 1.5°C over a three-year period (2023–2025) – the first time in the #ERA5 record – bringing us closer to the Paris Agreement threshold.

    Explore the Global Climate Highlights 2025 report ➡️ climate.copernicus.eu/global-c

    @ECMWF @CopernicusEU @carlo_mastodon

  34. Carlo Buontempo, Director of the Copernicus Climate Change Service (C3S) @ECMWF emphasises how the global average temperature exceeded 1.5°C over a three-year period (2023–2025) – the first time in the #ERA5 record – bringing us closer to the Paris Agreement threshold.

    Explore the Global Climate Highlights 2025 report ➡️ climate.copernicus.eu/global-c

    @ECMWF @CopernicusEU @carlo_mastodon

  35. Carlo Buontempo, Director of the Copernicus Climate Change Service (C3S) @ECMWF emphasises how the global average temperature exceeded 1.5°C over a three-year period (2023–2025) – the first time in the #ERA5 record – bringing us closer to the Paris Agreement threshold.

    Explore the Global Climate Highlights 2025 report ➡️ climate.copernicus.eu/global-c

    @ECMWF @CopernicusEU @carlo_mastodon

  36. Anomalie miesięczne temperatury globalnej od 1979 roku

    Anomalie miesięczne średniej temperatury globalnej od 1979 roku, względem okresu przedindustrialnego. The post Anomalie miesięczne temperatury globalnej od 1979 roku appeared first on Nauka o klimacie | naukaoklimacie.pl.

    spinka.tepewu.pl/2025/12/anoma

  37. So. This is a nice visualisation tool to play with! Both #ERA5 and @esaclimate.bsky.social datasets visualised for the whole world in a beautiful interface. It would be fantastic to see it updated for the last 10 years. #SciViz www.lexcube.org

    LexCube - Leipzig Explorer of ...

  38. So. This is a nice visualisation tool to play with! Both #ERA5 and @esaclimate.bsky.social datasets visualised for the whole world in a beautiful interface. It would be fantastic to see it updated for the last 10 years. #SciViz www.lexcube.org

    LexCube - Leipzig Explorer of ...

  39. So. This is a nice visualisation tool to play with! Both #ERA5 and @esaclimate.bsky.social datasets visualised for the whole world in a beautiful interface. It would be fantastic to see it updated for the last 10 years. #SciViz www.lexcube.org

    LexCube - Leipzig Explorer of ...

  40. So. This is a nice visualisation tool to play with! Both #ERA5 and @esaclimate.bsky.social datasets visualised for the whole world in a beautiful interface. It would be fantastic to see it updated for the last 10 years. #SciViz www.lexcube.org

    LexCube - Leipzig Explorer of ...

  41. So. This is a nice visualisation tool to play with! Bothe #ERA5 and ESAcci datasets visualised for the whole world.
    It would be fantastic to see it updated for the last 10 years.

    #SciViz
    lexcube.org/

  42. So. This is a nice visualisation tool to play with! Bothe #ERA5 and ESAcci datasets visualised for the whole world.
    It would be fantastic to see it updated for the last 10 years.

    #SciViz
    lexcube.org/

  43. So. This is a nice visualisation tool to play with! Bothe #ERA5 and ESAcci datasets visualised for the whole world.
    It would be fantastic to see it updated for the last 10 years.

    #SciViz
    lexcube.org/

  44. So. This is a nice visualisation tool to play with! Bothe #ERA5 and ESAcci datasets visualised for the whole world.
    It would be fantastic to see it updated for the last 10 years.

    #SciViz
    lexcube.org/

  45. So. This is a nice visualisation tool to play with! Bothe #ERA5 and ESAcci datasets visualised for the whole world.
    It would be fantastic to see it updated for the last 10 years.

    #SciViz
    lexcube.org/

  46. Question: Is anyone here familiar with the #ERA5 dataset used for the climate data at #OpenMeteo ?

    I intend to use it for the local elections for my local #Green Party chapter, by visualizing local climatic changes. And I need to be ready for arguments on the lines of:

    "This data is interpolated, therefore not real and thus can be dismissed!"

    Thus, if there are any good, accessible explanations that summarize how the dataset was created, I would appreciate it. Bonus points if they are in German!

    #ClimateChange
    open-meteo.com/

  47. Question: Is anyone here familiar with the #ERA5 dataset used for the climate data at #OpenMeteo ?

    I intend to use it for the local elections for my local #Green Party chapter, by visualizing local climatic changes. And I need to be ready for arguments on the lines of:

    "This data is interpolated, therefore not real and thus can be dismissed!"

    Thus, if there are any good, accessible explanations that summarize how the dataset was created, I would appreciate it. Bonus points if they are in German!

    #ClimateChange
    open-meteo.com/