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.

https://climatereanalyzer.org/clim/t2_daily/?dm_id=world#info

#ClimateScience

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 ➡️ https://climate.copernicus.eu/global-climate-highlights-2025?utm_source=socialmedia&utm_medium=MA&utm_campaign=global-climate-highlight-2025&utm_id=GCH-2025

@ECMWF @CopernicusEU @carlo_mastodon

Anomalie miesięczne temperatury globalnej od 1979 roku

https://spinka.tepewu.pl/2025/12/anomalie-miesieczne-temperatury-globalnej-od-1979-roku/

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
https://www.lexcube.org/

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
https://open-meteo.com/

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.

https://www.copernicus.eu/en/media/image-day-gallery/august-2025-third-warmest-august-record-globally

#Klimawandel #ERA5 #C3S #Hitze

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?