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#era5 — Public Fediverse posts

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

  1. Daily Surface Air Temperature

    This page provides time series and map visualizations of daily mean surface air temperature (2-meter height) estimates from the #ECMWF Reanalysis version 5 (#ERA5) for the period January 1940 to present (see ERA5 attribution below). ERA5 is a state-of-the-art numerical #climate / #weather modeling framework that ingests surface, radiosonde, and satellite observations to estimate the state of the atmosphere through time. The visualizations on this page enable users to explore weather-driven temperature changes within specific years, while also having several decades of daily data for broader climate context. Users are encouraged to learn more about reanalysis — approach, strengths, limitations, and product comparisons — from the NCAR Climate Data Guide. Additional information about reanalysis can be found at Advancing Reanalysis.

    climatereanalyzer.org/clim/t2_

    #ClimateScience

  2. Daily Surface Air Temperature

    This page provides time series and map visualizations of daily mean surface air temperature (2-meter height) estimates from the #ECMWF Reanalysis version 5 (#ERA5) for the period January 1940 to present (see ERA5 attribution below). ERA5 is a state-of-the-art numerical #climate / #weather modeling framework that ingests surface, radiosonde, and satellite observations to estimate the state of the atmosphere through time. The visualizations on this page enable users to explore weather-driven temperature changes within specific years, while also having several decades of daily data for broader climate context. Users are encouraged to learn more about reanalysis — approach, strengths, limitations, and product comparisons — from the NCAR Climate Data Guide. Additional information about reanalysis can be found at Advancing Reanalysis.

    climatereanalyzer.org/clim/t2_

    #ClimateScience

  3. Daily Surface Air Temperature

    This page provides time series and map visualizations of daily mean surface air temperature (2-meter height) estimates from the #ECMWF Reanalysis version 5 (#ERA5) for the period January 1940 to present (see ERA5 attribution below). ERA5 is a state-of-the-art numerical #climate / #weather modeling framework that ingests surface, radiosonde, and satellite observations to estimate the state of the atmosphere through time. The visualizations on this page enable users to explore weather-driven temperature changes within specific years, while also having several decades of daily data for broader climate context. Users are encouraged to learn more about reanalysis — approach, strengths, limitations, and product comparisons — from the NCAR Climate Data Guide. Additional information about reanalysis can be found at Advancing Reanalysis.

    climatereanalyzer.org/clim/t2_

    #ClimateScience

  4. Daily Surface Air Temperature

    This page provides time series and map visualizations of daily mean surface air temperature (2-meter height) estimates from the #ECMWF Reanalysis version 5 (#ERA5) for the period January 1940 to present (see ERA5 attribution below). ERA5 is a state-of-the-art numerical #climate / #weather modeling framework that ingests surface, radiosonde, and satellite observations to estimate the state of the atmosphere through time. The visualizations on this page enable users to explore weather-driven temperature changes within specific years, while also having several decades of daily data for broader climate context. Users are encouraged to learn more about reanalysis — approach, strengths, limitations, and product comparisons — from the NCAR Climate Data Guide. Additional information about reanalysis can be found at Advancing Reanalysis.

    climatereanalyzer.org/clim/t2_

    #ClimateScience

  5. Daily Surface Air Temperature

    This page provides time series and map visualizations of daily mean surface air temperature (2-meter height) estimates from the #ECMWF Reanalysis version 5 (#ERA5) for the period January 1940 to present (see ERA5 attribution below). ERA5 is a state-of-the-art numerical #climate / #weather modeling framework that ingests surface, radiosonde, and satellite observations to estimate the state of the atmosphere through time. The visualizations on this page enable users to explore weather-driven temperature changes within specific years, while also having several decades of daily data for broader climate context. Users are encouraged to learn more about reanalysis — approach, strengths, limitations, and product comparisons — from the NCAR Climate Data Guide. Additional information about reanalysis can be found at Advancing Reanalysis.

    climatereanalyzer.org/clim/t2_

    #ClimateScience

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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 ...

  13. 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 ...

  14. 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 ...

  15. 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 ...

  16. 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 ...

  17. 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/

  18. 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/

  19. 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/

  20. 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/

  21. 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/

  22. 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/

  23. 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/

  24. 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/

  25. 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/

  26. 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/

  27. Die #Klimakrise trifft die #Welt:

    Der August 2025 war weltweit der drittwärmste seit Beginn der Aufzeichnungen.

    Laut #Copernicus-#Klimadaten lag die globale Durchschnittstemperatur bei 16,60 °C und damit 0,49 °C über dem Schnitt von 1991–2020. Im Vergleich zum vorindustriellen Niveau beträgt der Anstieg 1,29 °C.

    Besonders #Europa erlebte zwischen dem 8. und 18. August eine ausgeprägte #Hitzewelle mit deutlichen Temperaturabweichungen.

    copernicus.eu/en/media/image-d

    #Klimawandel #ERA5 #C3S #Hitze

  28. Die #Klimakrise trifft die #Welt:

    Der August 2025 war weltweit der drittwärmste seit Beginn der Aufzeichnungen.

    Laut #Copernicus-#Klimadaten lag die globale Durchschnittstemperatur bei 16,60 °C und damit 0,49 °C über dem Schnitt von 1991–2020. Im Vergleich zum vorindustriellen Niveau beträgt der Anstieg 1,29 °C.

    Besonders #Europa erlebte zwischen dem 8. und 18. August eine ausgeprägte #Hitzewelle mit deutlichen Temperaturabweichungen.

    copernicus.eu/en/media/image-d

    #Klimawandel #ERA5 #C3S #Hitze

  29. Die #Klimakrise trifft die #Welt:

    Der August 2025 war weltweit der drittwärmste seit Beginn der Aufzeichnungen.

    Laut #Copernicus-#Klimadaten lag die globale Durchschnittstemperatur bei 16,60 °C und damit 0,49 °C über dem Schnitt von 1991–2020. Im Vergleich zum vorindustriellen Niveau beträgt der Anstieg 1,29 °C.

    Besonders #Europa erlebte zwischen dem 8. und 18. August eine ausgeprägte #Hitzewelle mit deutlichen Temperaturabweichungen.

    copernicus.eu/en/media/image-d

    #Klimawandel #ERA5 #C3S #Hitze

  30. Die #Klimakrise trifft die #Welt:

    Der August 2025 war weltweit der drittwärmste seit Beginn der Aufzeichnungen.

    Laut #Copernicus-#Klimadaten lag die globale Durchschnittstemperatur bei 16,60 °C und damit 0,49 °C über dem Schnitt von 1991–2020. Im Vergleich zum vorindustriellen Niveau beträgt der Anstieg 1,29 °C.

    Besonders #Europa erlebte zwischen dem 8. und 18. August eine ausgeprägte #Hitzewelle mit deutlichen Temperaturabweichungen.

    copernicus.eu/en/media/image-d

    #Klimawandel #ERA5 #C3S #Hitze

  31. I've been following the news about discontinuing #NOAA data with sadness and apprehension. This is all very messed up.

    Currently I rely heavily on #nasapower #gpm and #chirps data for monitoring agroclimatic risks. So I have two questions:

    1) How are those data affected by those NOAA cuts?

    2) Even if the data is not affected, I'm considering substituting those sources. What are some candidates? For NasaPower, #era5 looks like a good candidate. What about precipitation? Any jaxa products?

  32. I've been following the news about discontinuing #NOAA data with sadness and apprehension. This is all very messed up.

    Currently I rely heavily on #nasapower #gpm and #chirps data for monitoring agroclimatic risks. So I have two questions:

    1) How are those data affected by those NOAA cuts?

    2) Even if the data is not affected, I'm considering substituting those sources. What are some candidates? For NasaPower, #era5 looks like a good candidate. What about precipitation? Any jaxa products?

  33. I've been following the news about discontinuing #NOAA data with sadness and apprehension. This is all very messed up.

    Currently I rely heavily on #nasapower #gpm and #chirps data for monitoring agroclimatic risks. So I have two questions:

    1) How are those data affected by those NOAA cuts?

    2) Even if the data is not affected, I'm considering substituting those sources. What are some candidates? For NasaPower, #era5 looks like a good candidate. What about precipitation? Any jaxa products?

  34. I've been following the news about discontinuing #NOAA data with sadness and apprehension. This is all very messed up.

    Currently I rely heavily on #nasapower #gpm and #chirps data for monitoring agroclimatic risks. So I have two questions:

    1) How are those data affected by those NOAA cuts?

    2) Even if the data is not affected, I'm considering substituting those sources. What are some candidates? For NasaPower, #era5 looks like a good candidate. What about precipitation? Any jaxa products?

  35. I've been following the news about discontinuing #NOAA data with sadness and apprehension. This is all very messed up.

    Currently I rely heavily on #nasapower #gpm and #chirps data for monitoring agroclimatic risks. So I have two questions:

    1) How are those data affected by those NOAA cuts?

    2) Even if the data is not affected, I'm considering substituting those sources. What are some candidates? For NasaPower, #era5 looks like a good candidate. What about precipitation? Any jaxa products?

  36. @ZLabe can you notice any signals in the #ERA5 sea ice? It's switched to an AMSR2 derived product as of the start of the month

  37. @ZLabe can you notice any signals in the #ERA5 sea ice? It's switched to an AMSR2 derived product as of the start of the month

  38. @ZLabe can you notice any signals in the #ERA5 sea ice? It's switched to an AMSR2 derived product as of the start of the month

  39. @ZLabe can you notice any signals in the #ERA5 sea ice? It's switched to an AMSR2 derived product as of the start of the month