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#ERA5

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Jörg Honegger :swisssocial: 🇺🇦

#Climatecrisis #Climate #Weather #Anomalies #SurfaceAirTemperature #Temperature #Precipitation #ERA5 #C3S

Details at #Copernicus #ECMWF: climate.copernicus.eu/copernic

linkedin.com/posts/reto-knutti

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climate.copernicus.euCopernicus: Warmest March in Europe and lowest Arctic winter sea ice | CopernicusThe Copernicus Climate Change Service (C3S), implemented by the European Centre for Medium-Range Weather Forecasts on behalf of the European Commission with funding from the EU, routinely publishes monthly climate bulletins reporting on the changes observed in global surface air and sea temperatures, sea ice cover and hydrological variables.
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Alastair Temple

Anyone out there got any tips on converting ERA5 .grib files? Trying to get a load of data for a project at work and running up against the CDSAPI computation limits for netcdf files (unless I want to split files daily massively increasing the number of total requests). Running up against error after error with xarray, earthkit and cfgrib when trying to convert. Would love some help.

#python#grib#netcfd
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CopernicusECMWF

The C3S global temperature trend monitor, based on #ERA5, allows you to explore how the estimate of the time to 1.5°C global warming has changed in recent years. While it should not be interpreted as a forecast, it does show trends in global warming.

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💧🌏 Greg Cocks

NASA Satellites Reveal Abrupt Drop In Global Freshwater Levels | An Abrupt Decline in Global Terrestrial Water Storage and Its Relationship with Sea Level Change
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phys.org/news/2024-11-nasa-sat <-- shared technical article
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doi.org/10.1007/s10712-024-098 <-- shared paper
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unesco.org/reports/wwdr/en/202 <-- shared UN report on water stress
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#GIS #spatial #mapping #remotesensing #satellite #NASA #GRACE #ERA5 #water #waterresources #climatechange #sealevel #sealevelrise #SLR #waterresources #global #freshwater #watermanagement #arid #terrestrial #mascons #TWS #terrestialwaterstorage #surfacewater #groundwater #aquifers #spatialanalysis #model #modeling #spatiotemporal #drought #wateruse #watersecurity #agriculture #irrigation #hydrology #publichealth #risk #hazard #naturalresources #waterquality #gravity

a Time series of near-global (60° S–70° N) mean SST anomalies, Niño 3.4 (black), the Pacific Decadal Oscillation (PDO) index with 1-year smoothing (blue), and a North Atlantic tripole index (brown). Negative PDO corresponds to anomalous positive SSTs in the central N. Pacific. b Near-global ERA5 SST trend, 1980–2022, °C/yr. c Correlation between the Niño 3.4 index and GRACE/FO d(TWS)/dt, the latter lagged 2 months with 4-month smoothing applied. d Correlation between the PDO index and GRACE/FO TWS, 3-month smoothing applied
Map of mascons in which the GRACE/FO era minimum terrestrial water storage occurred after the start of 2015, color coded for the year of that minimum. The time series plotted in Fig. 2 is averaged over the South American region delineated in red
Comparison of ERA5-Land, GRACE/FO, and complementary observations: a deseasonalized time series of global land average (60S-70N) TWS anomalies (mm) from GRACE/FO, ERA5-Land, and ERA5 vertically integrated moisture flux convergence, b ERA5-Land precipitation (P), evapotranspiration (ET), and runoff (RO), c same as b but for GPCP P, GLEAM ET and G-RUN RO. Units in b and c are mm d−1, d 2003–2022 trend in ERA5-Land P-ET, e Same as d but for GPCP v3.2 P—GLEAM 3.6a ET. Units in d and e are mm d−1/yr. All anomalies are relative to the 2003–2022 monthly resolved climatological mean
TWS trends (mm/yr) over the period 2003–2022 in a GRACE/FO and b ERA5-Land; and c correlations of monthly TWS anomalies between GRACE/FO and ERA5-Land. Ice sheets and areas of significant glacial extent have been masked
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Elio Campitelli

Did Copernicus Climate Data Store completely borked #ERA5? I'm downloading monthly data and the date information is bonkers. The coordinate is now called "date" (instead of time) and it's not a real time with units, it's just ISO dates as integers. It's impossible to correctly process with CDO and ncivew is throwing a fit.
cc @koen_hufkens

> era5sl |> GlanceNetCDF() ----- Variables ----- number: ensemble member numerical id in 1 Dimensions: expver: expver Dimensions: date sst: Sea surface temperature in K Dimensions: longitude by latitude by date tp: Total precipitation in m Dimensions: longitude by latitude by date ----- Dimensions ----- date: 528 values from 19800101 to 20231201 1 latitude: 721 values from -90 to 90 degrees_north longitude: 1440 values from 0 to 359.75 degrees_east
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Tino Eberl

Der Juli 2024 war weltweit der zweitwärmste Juli seit Beginn der Aufzeichnungen, nur knapp hinter dem Juli 2023. Die globale Durchschnittstemperatur erreichte 16,91 °C, was 0,68 °C über dem Durchschnitt von 1991 bis 2020 liegt. #Europa erlebte besonders im Süden und Osten außergewöhnliche #Wärme, Es ist sehr wahrscheinlich, dass 2024 das wärmste Jahr seit Beginn der Aufzeichnungen wird.

#Klimawandel #Hitzerekorde #ERA5 #Copernicus #GlobaleErwärmung

climate.copernicus.eu/copernic

climate.copernicus.euCopernicus: Globally second-hottest month on record, only slightly behind July 2023 | Copernicus
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O=C=O

State of the #climate: 2024 now very likely to be warmest year on record

Carbon Brief’s analysis indicates a 95% probability that this year will surpass 2023 as the warmest year on record in the #Copernicus/#ECMWF #ERA5 dataset.
This projection emerges amid a series of climate extremes that have marked the first half of 2024.

carbonbrief.org/state-of-the-c

Temperatures for each month from 1940 to 2024 from Copernicus/ECMWF ERA5. Anomalies plotted with respect to a 1850-1900 baseline. Chart by Carbon Brief. The figure shows how global temperature so far in 2024 (purple line) compares to each month in different years since 1940 (with lines coloured by the decade in which they occurred) in the Copernicus/ECMWF ERA5 surface temperature dataset.
Annual global mean surface temperatures from NASA GISTEMP, NOAA GlobalTemp, Hadley/UEA HadCRUT5, Berkeley Earth and Copernicus/ECMWF (lines), along with 2024 temperatures so far (January-June, coloured dots). Anomalies plotted with respect to the 1981-2010 period, and shown relative to pre-industrial based on the average pre-industrial temperatures in the Hadley/UEA, NOAA and Berkeley datasets that extend back to 1850. Chart by Carbon Brief. The figure shows the annual temperatures from each of these groups since 1970, along with the average over the first six months of 2024. (Note: at the time of writing, June data was not yet available for the Hadley/UEA record.)
Daily global absolute temperatures from 1940 to present (22 July 2024) from Copernicus/ECMWF ERA5, with daily values for each year plotted as a separate line. The colours indicate 2024 (purple), 2023 (red) and all other years (grey). Chart by Carbon Brief.
#ClimateScience
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