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#climatedata — Public Fediverse posts

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

  1. In 2025, all European glacier regions saw a net mass loss, with Iceland recording its 2nd‑largest loss since 1976. It was the 4th year in a row that all 19 global glacier regions lost mass. Get more insight in the #ESOTC2025 from #Copernicus Climate @ECMWF and WMO climate.copernicus.eu/esotc/20

    #ClimateData

  2. In 2025, all European glacier regions saw a net mass loss, with Iceland recording its 2nd‑largest loss since 1976. It was the 4th year in a row that all 19 global glacier regions lost mass. Get more insight in the #ESOTC2025 from #Copernicus Climate @ECMWF and WMO climate.copernicus.eu/esotc/20

    #ClimateData

  3. Data Accumulates: An Ancient Observatory's Enduring Task

    Blue Hill Observatory near Boston has logged weather data for 141 years straight since 1885. This data helps the National Weather Service and climate researchers.

    #BlueHillObservatory, #BostonWeather, #ClimateData, #WeatherHistory, #LongTermRecord

    newsletter.tf/blue-hill-observ

  4. Explore the #ESOTC2025 key events map, showing major climate and weather events across Europe. From heatwaves, wildfires & droughts to cold waves, heavy rain, flooding & more, the map highlights where major events unfolded across the continent in 2025.

    Go to the map 👉 climate.copernicus.eu/esotc/20

    @ECMWF

    #CopernicusClimate #ClimateData

  5. Explore the #ESOTC2025 key events map, showing major climate and weather events across Europe. From heatwaves, wildfires & droughts to cold waves, heavy rain, flooding & more, the map highlights where major events unfolded across the continent in 2025.

    Go to the map 👉 climate.copernicus.eu/esotc/20

    @ECMWF

    #CopernicusClimate #ClimateData

  6. even when there is a lot of vegetation. We looked at how water availability changed over time and space by combining #WIMI with long-term records of precipitation & #climatedata. The results show that surface water is slowly disappearing across the study area, even in years with normal rainfall. This suggests that the water retention capacity is changing & the stress on groundwater is rising. The annual WIMI values were somewhat related to rainfall, but they have been becoming less and less

  7. even when there is a lot of vegetation. We looked at how water availability changed over time and space by combining #WIMI with long-term records of precipitation & #climatedata. The results show that surface water is slowly disappearing across the study area, even in years with normal rainfall. This suggests that the water retention capacity is changing & the stress on groundwater is rising. The annual WIMI values were somewhat related to rainfall, but they have been becoming less and less

  8. even when there is a lot of vegetation. We looked at how water availability changed over time and space by combining #WIMI with long-term records of precipitation & #climatedata. The results show that surface water is slowly disappearing across the study area, even in years with normal rainfall. This suggests that the water retention capacity is changing & the stress on groundwater is rising. The annual WIMI values were somewhat related to rainfall, but they have been becoming less and less

  9. even when there is a lot of vegetation. We looked at how water availability changed over time and space by combining #WIMI with long-term records of precipitation & #climatedata. The results show that surface water is slowly disappearing across the study area, even in years with normal rainfall. This suggests that the water retention capacity is changing & the stress on groundwater is rising. The annual WIMI values were somewhat related to rainfall, but they have been becoming less and less

  10. even when there is a lot of vegetation. We looked at how water availability changed over time and space by combining #WIMI with long-term records of precipitation & #climatedata. The results show that surface water is slowly disappearing across the study area, even in years with normal rainfall. This suggests that the water retention capacity is changing & the stress on groundwater is rising. The annual WIMI values were somewhat related to rainfall, but they have been becoming less and less

  11. 🌡️ How has Calgary’s April temperature varied over the years?

    Using hourly data from the CALGARY INTL weather station (METAR archive, 2009–2025), I analysed how April air-temperature distributions shift from year to year.

    Each panel shows the probability density of all measurements for that month, with the red dashed line marking the arithmetic mean.

    This work is part of my ongoing, data-driven examination of local climate behaviour using R.
    Follow #ClimateOfCalgary for more.

    #RStats #DataVisualization #OpenData #ClimateData #WeatherAnalysis #Calgary #DataScience #Environment #Alberta #Canada #METAR #AviationWeather #UrbanClimate #ggplot2 #YYC

  12. 🌡️ How has Calgary’s March temperature varied over the years?

    Using hourly data from the CALGARY INTL weather station (METAR archive, 2009–2025), I examined how March air-temperature distributions change from year to year.

    Each panel shows the probability density of all measurements for that month — with the red dashed line indicating the arithmetic mean.

    This analysis is part of my ongoing, data-driven exploration of local climate behaviour using R.
    Follow #ClimateOfCalgary for upcoming posts.

    #RStats #DataVisualization #OpenData #ClimateData #WeatherAnalysis #Calgary #DataScience #Environment #Alberta #Canada #METAR #AviationWeather #UrbanClimate #ggplot2

  13. 🌡️ How has Calgary’s March temperature varied over the years?

    Using hourly data from the CALGARY INTL weather station (METAR archive, 2009–2025), I examined how March air-temperature distributions change from year to year.

    Each panel shows the probability density of all measurements for that month — with the red dashed line indicating the arithmetic mean.

    This analysis is part of my ongoing, data-driven exploration of local climate behaviour using R.
    Follow #ClimateOfCalgary for upcoming posts.

    #RStats #DataVisualization #OpenData #ClimateData #WeatherAnalysis #Calgary #DataScience #Environment #Alberta #Canada #METAR #AviationWeather #UrbanClimate #ggplot2

  14. 🌡️ How has Calgary’s February temperature changed over the years?

    Using hourly data from the CALGARY INTL weather station (METAR archive, 2009–2025), I looked at how February air-temperature distributions evolve from year to year.

    Each panel shows the probability density of all measurements for that month — with the red dashed line marking the arithmetic mean.

    This work is part of my ongoing, data-driven exploration of local climate patterns with R.
    Follow #ClimateOfCalgary for more.

    #RStats #DataVisualization #OpenData #ClimateData #WeatherAnalysis #Calgary #DataScience #Environment #Alberta #Canada #METAR #AviationWeather #UrbanClimate #ggplot2

  15. 🌡️ How has Calgary’s January temperature varied over the years?

    Using hourly data from the CALGARY INTL weather station (METAR archive, 2009–2025), I examined how January air-temperature distributions change from year to year.

    Each panel shows the probability density of all measurements for that month — with the red dashed line marking the arithmetic mean.

    This is part of my ongoing, data-driven look at local climate behaviour using the R programming language.
    Follow #ClimateOfCalgary if you're interested in more.

    #Rstats #DataVisualization #OpenData #ClimateData #WeatherAnalysis #Calgary #DataScience #Environment #Alberta #Canada #METAR #AviationWeather #UrbanClimate

  16. A small result from analyzing a long series of meteorological observations for Calgary.

    The openair package makes it surprisingly straightforward to combine space–time interpolation and visualization within a single workflow, even for large datasets.

    Here are the sectoral (wind direction × wind speed) mean air temperatures for Calgary.

    What’s striking is how clearly the seasonal patterns emerge:
    – a cold north-east sector in winter;
    – a warm southern and southwestern sector in summer;
    – transitional zones in spring and autumn;
    – a strong Chinook influence from the southwest.

    The polar format works exceptionally well here — the structure of the local climate becomes obvious at a glance, without the need for long tables or detailed descriptions.

    Follow the #ClimateOfCalgary hashtag.

    #Rstats #DataVisualization #OpenData #ClimateData #WeatherAnalysis #Calgary #DataScience #Environment #Research #Alberta #Canada #UrbanHealth #METAR #AviationWeather #Meteorology #DataAnalysis #WindRose #Chinook #WindDirection

  17. 🌡️ How has Calgary’s June and July temperature changed over the years?

    Using data from the Calgary International Airport meteostation (METAR archive, 2009–2025), I analyzed the monthly air temperature distributions for June.
    Each panel shows the probability density of hourly temperature readings — with the red dashed line marking the arithmetic mean.

    The work is part of my ongoing data-driven exploration of local climate trends using the R programming language. Follow the #ClimateOfCalgary hashtag.

    📊 It’s not just about numbers — it’s about seeing how the “shape” of weather evolves.

    #ClimateOfCalgary #Rstats #DataVisualization #OpenData #ClimateData #WeatherAnalysis #Calgary #DataScience #Environment #Research #Alberta #Canada #UrbanHealth #METAR #AviationWeather

  18. 🌬️ Dust for Everybody, Free of Charge…!

    This is the English translation of my earlier article analyzing the recurring dust storms caused by tailings and waste dumps in the Kryvyi Rih Iron Ore Basin.

    Using large meteorological datasets and satellite observations, I demonstrated that extreme dust emissions coincide with the region’s dry spring winds — a seasonal pattern that persists year after year.

    The findings challenged local industrial “dust control” programs, showing that their methods do not reflect real climatic conditions.
    The publication sparked a wide public debate, meetings of the municipal working group, and eventually led to updates in enterprise dust-suppression policies.

    📎 The article is here:
    datastory.org.ua/dust-for-ever

    #EnvironmentalScience #RemoteSensing #AirPollution #DustEmission #MiningImpact #ClimateData #KryvyiRih #IndependentResearch #OpenScience #Sustainability #RStats #QGIS #METAR #NOAA

  19. If this makes you angry, turn that dark energy into a positive and help educators by visiting climate.us and finding the donate button.

    For the interim we each have to directly help with what's supposed be accomplished by the US government.

    Think of the whole mess as an object lesson on paying attention, being involved.

    #ClimateEducation
    #ClimateData
    #ClimateResearch

    science.org/content/article/sc

  20. As the US government sabotages its own climate web site (along with many other science-based or truth-based sites), a new site is the phoenix borne of its ashes. May it thrive. Please consider donating or otherwise supporting their efforts (e.g., by sharing notice of the site).

    climate.us

    #climate #ClimateDenial #resist #science #truth #media #journalism #ClimateData #ClimateReporting #propaganda #hope #politics #USPolitics #fascism #PostTruth

    Here's another URL that might be worth sharing:

    dw.com/en/fired-climate-scient

  21. As the US government sabotages its own climate web site (along with many other science-based or truth-based sites), a new site is the phoenix borne of its ashes. May it thrive. Please consider donating or otherwise supporting their efforts (e.g., by sharing notice of the site).

    climate.us

    #climate #ClimateDenial #resist #science #truth #media #journalism #ClimateData #ClimateReporting #propaganda #hope #politics #USPolitics #fascism #PostTruth

    Here's another URL that might be worth sharing:

    dw.com/en/fired-climate-scient

  22. As the US government sabotages its own climate web site (along with many other science-based or truth-based sites), a new site is the phoenix borne of its ashes. May it thrive. Please consider donating or otherwise supporting their efforts (e.g., by sharing notice of the site).

    climate.us

    #climate #ClimateDenial #resist #science #truth #media #journalism #ClimateData #ClimateReporting #propaganda #hope #politics #USPolitics #fascism #PostTruth

    Here's another URL that might be worth sharing:

    dw.com/en/fired-climate-scient

  23. As the US government sabotages its own climate web site (along with many other science-based or truth-based sites), a new site is the phoenix borne of its ashes. May it thrive. Please consider donating or otherwise supporting their efforts (e.g., by sharing notice of the site).

    climate.us

    #climate #ClimateDenial #resist #science #truth #media #journalism #ClimateData #ClimateReporting #propaganda #hope #politics #USPolitics #fascism #PostTruth

    Here's another URL that might be worth sharing:

    dw.com/en/fired-climate-scient

  24. As the US government sabotages its own climate web site (along with many other science-based or truth-based sites), a new site is the phoenix borne of its ashes. May it thrive. Please consider donating or otherwise supporting their efforts (e.g., by sharing notice of the site).

    climate.us

    #climate #ClimateDenial #resist #science #truth #media #journalism #ClimateData #ClimateReporting #propaganda #hope #politics #USPolitics #fascism #PostTruth

    Here's another URL that might be worth sharing:

    dw.com/en/fired-climate-scient

  25. 🌐❄️ 𝗧𝗵𝗲 𝗻𝗲𝘄 𝗣𝗼𝗹𝗮𝗿 𝗣𝗼𝗿𝘁𝗮𝗹 𝘄𝗲𝗯𝘀𝗶𝘁𝗲 𝗶𝘀 𝗹𝗶𝘃𝗲!

    We’re excited to launch the updated version of 𝗣𝗼𝗹𝗮𝗿𝗽𝗼𝗿𝘁𝗮𝗹.𝗱𝗸 – your gateway to 𝗿𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝗱𝗮𝘁𝗮 𝗼𝗻 𝗔𝗿𝗰𝘁𝗶𝗰 𝘀𝗲𝗮 𝗶𝗰𝗲 𝗮𝗻𝗱 𝘁𝗵𝗲 𝗚𝗿𝗲𝗲𝗻𝗹𝗮𝗻𝗱 𝗜𝗰𝗲 𝗦𝗵𝗲𝗲𝘁.

    📊 On 𝗣𝗼𝗹𝗮𝗿𝗽𝗼𝗿𝘁𝗮𝗹.𝗱𝗸, Danish research institutions share up-to-date monitoring and expert knowledge on the state of the Arctic cryosphere.

    𝗛𝗲𝗿𝗲 𝘆𝗼𝘂 𝗰𝗮𝗻 𝗳𝗶𝗻𝗱 𝗱𝗮𝘁𝗮, 𝗮𝗻𝗶𝗺𝗮𝘁𝗶𝗼𝗻𝘀 𝗮𝗻𝗱 𝘂𝗽𝗱𝗮𝘁𝗲𝘀 𝗼𝗻:
    • Surface conditions on the Greenland Ice Sheet and its major outlet glaciers
    • Total mass balance of the Greenland Ice Sheet and its contribution to global sea-level
    • Sea ice extent, thickness and volume in the Arctic
    • Temperature anomalies of sea ice and the open sea in the Arctic
    • Icebergs around Greenland

    The portal is powered by the Danish research institutions #DMI, #GEUS, #DTUSpace and #DTUByg and supported by data from #Asiaq - Misissueqqarnerit - Grønlands Forundersøgelser and #PROMICE (promice.org/).

    🔗 Visit the new site: polarportal.dk/en/

    #PolarPortal #Greenland #Arctic #ClimateMonitoring #Cryosphere #IceSheet #Seaice #ClimateData #NCKF #climatechange