Annual Regional mean temperature for WMO RA 5 South-West Pacific (°C, difference from the 1991-2020 average) from 1900-2024. Data are from the following six data sets: Berkeley Earth, ERA5, GISTEMP, HadCRUT5, JRA-3Q, NOAAGlobalTemp v6.
Annual Regional mean land and ocean temperature for WMO RA 5 South-West Pacific (°C, difference from the 1991-2020 average) from 1900-2024. Data are from the following six data sets: Berkeley Earth, ERA5, GISTEMP, HadCRUT5, JRA-3Q, NOAAGlobalTemp v6.
Figure shows the trends for four sub-periods (1901-1930, 1931-1960, 1961-1990 and 1991-2024. Coloured bars show the mean trend for each region and the black vertical lines indicate the range of different estimates.
Annual Near surface temperature anomaly (°C, difference from the 1991-2020 average) for 2024. Data shown are the median of the following six data sets: Berkeley Earth, ERA5, GISTEMP, HadCRUT5, JRA-3Q, NOAAGlobalTemp v6.
Annual Near surface temperature uncertainty (°C) for 2024. Data shown are the half-range of the following six data sets: Berkeley Earth, ERA5, GISTEMP, HadCRUT5, JRA-3Q, NOAAGlobalTemp v6.
Monthly 12-month Precipitation Quantile anomaly (quantile, difference from the 1991-2010 average) for 2024. Data shown are the median of the following one data sets: GPCC. White areas indicate where there were too few data to reliably estimate the percentiles.
The year 2024 was ranked the 1st warmest on record. The mean value for 2024 was 0.67°C relative to the 1991-2020 average (0.63-0.72°C depending on the data set used). 6 data sets were used in this assessment: Berkeley Earth, ERA5, GISTEMP, HadCRUT5, JRA-3Q, and NOAAGlobalTemp v6. Relative to a 1961-1990 baseline, the mean value for 2024 was 1.19°C (1.16-1.24°C depending on the data set used). 6 data sets were used in the assessment relative to 1961-1990.
Paragraph updated: 2025-01-28 11:38
The year 2024 was ranked between the 1st and 2nd highest on record. The mean value for 2024 was 0.69°C relative to the 1991-2020 average (0.56-0.75°C depending on the data set used). 6 data sets were used in this assessment: Berkeley Earth, ERA5, GISTEMP, HadCRUT5, JRA-3Q, and NOAAGlobalTemp v6. Relative to a 1961-1990 baseline, the mean value for 2024 was 1.14°C (0.88-1.27°C depending on the data set used). 5 data sets were used in the assessment relative to 1961-1990.
Paragraph updated: 2025-01-28 11:38
The year 2024 was ranked the 1st highest on record. The mean value for 2024 was 0.48°C relative to the 1991-2020 average (0.44-0.55°C depending on the data set used). 6 data sets were used in this assessment: Berkeley Earth, ERA5, GISTEMP, HadCRUT5, JRA-3Q, and NOAAGlobalTemp v6. Relative to a 1961-1990 baseline, the mean value for 2024 was 0.81°C (0.73-0.85°C depending on the data set used). 5 data sets were used in the assessment relative to 1961-1990.
Paragraph updated: 2025-01-28 11:38
The data in the above plot are available in a zip file containing a csv file for each data set.
Data file: WMO_RA_V_Southwest_Pacific_data_files.zip
Checksum: b54b9e5da90b65ac9095ae71b502c889
Format: BADC CSV format
Original data file (external link)
Citation:
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Data citation: Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., Thépaut, J-N. (2023): ERA5 monthly averaged data on single levels from 1940 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS), DOI: 10.24381/cds.f17050d7 (Accessed on 2025-01-17 12:20:57)
Acknowledgement: Contains using Copernicus Climate Change Service information [2025]. Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains.
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Data citation: GISTEMP Team, 2022: GISS Surface Temperature Analysis (GISTEMP), version 4. NASA Goddard Institute for Space Studies. Dataset accessed 2025-01-13 12:31:56 at data.giss.nasa.gov/gistemp/.
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Acknowledgement: HadCRUT.5.0.2.0 data were obtained from http://www.metoffice.gov.uk/hadobs/hadcrut5 on 2025-01-13 12:31:57 and are © British Crown Copyright, Met Office 2025, provided under an Open Government License, http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Data citation: Japan Meteorological Agency. 2023, updated monthly. Japanese Reanalysis for Three Quarters of a Century (JRA-3Q). Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/AVTZ-1H78. Accessed 2025-01-13 12:57:43.
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Data citation: Huang, Boyin; Yin, Xungang; Menne, Matthew J.; Vose, Russell S.; and Zhang, Huai-Min. 2024. NOAA Global Surface Temperature Dataset (NOAAGlobalTemp), Version 6.0.. NOAA National Centers for Environmental Information. https://doi.org/10.25921/rzxg-p717. Accessed 2025-01-17 10:52:14.
To produce the plot, the following processing steps were performed:
The data in the above plot are available in a zip file containing a csv file for each data set.
Data file: WMO_RA_V_Southwest_Pacific_(land_and_ocean)_data_files.zip
Checksum: 75f65b8fda18b322753c85a5d3871b76
Format: BADC CSV format
Original data file (external link)
Citation:
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Data citation: Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., Thépaut, J-N. (2023): ERA5 monthly averaged data on single levels from 1940 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS), DOI: 10.24381/cds.f17050d7 (Accessed on 2025-01-17 12:21:03)
Acknowledgement: Contains using Copernicus Climate Change Service information [2025]. Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains.
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Data citation: GISTEMP Team, 2022: GISS Surface Temperature Analysis (GISTEMP), version 4. NASA Goddard Institute for Space Studies. Dataset accessed 2025-01-13 12:31:56 at data.giss.nasa.gov/gistemp/.
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Acknowledgement: HadCRUT.5.0.2.0 data were obtained from http://www.metoffice.gov.uk/hadobs/hadcrut5 on 2025-01-13 12:31:57 and are © British Crown Copyright, Met Office 2025, provided under an Open Government License, http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Data citation: Japan Meteorological Agency. 2023, updated monthly. Japanese Reanalysis for Three Quarters of a Century (JRA-3Q). Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/AVTZ-1H78. Accessed 2025-01-13 12:57:43.
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Data citation: Huang, Boyin; Yin, Xungang; Menne, Matthew J.; Vose, Russell S.; and Zhang, Huai-Min. 2024. NOAA Global Surface Temperature Dataset (NOAAGlobalTemp), Version 6.0.. NOAA National Centers for Environmental Information. https://doi.org/10.25921/rzxg-p717. Accessed 2025-01-17 10:52:14.
To produce the plot, the following processing steps were performed:
Global mean temperature is based on measurements made at weather stations over land and by ships and buoys over the ocean. Temperatures are typically expressed as anomalies which are temperature differences from the average for a standard period. Here, 1850-1900 is used for the global mean. Instrumental temperature records are some of the longest climate records available, with some series extending back to the 17th century.
The data in the above plot are available in a zip file containing a csv file for each data set.
Data file: Continental_trends_data_files.zip
Checksum: 2f4a3df87ef3974a8d51b794f8b28fc1
Format: BADC CSV format
Original data file (external link)
Citation:
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Data citation: Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., Thépaut, J-N. (2023): ERA5 monthly averaged data on single levels from 1940 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS), DOI: 10.24381/cds.f17050d7 (Accessed on 2025-01-17 12:20:53)
Acknowledgement: Contains using Copernicus Climate Change Service information [2025]. Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains.
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Data citation: GISTEMP Team, 2022: GISS Surface Temperature Analysis (GISTEMP), version 4. NASA Goddard Institute for Space Studies. Dataset accessed 2025-01-13 12:31:56 at data.giss.nasa.gov/gistemp/.
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Acknowledgement: HadCRUT.5.0.2.0 data were obtained from http://www.metoffice.gov.uk/hadobs/hadcrut5 on 2025-01-13 12:31:57 and are © British Crown Copyright, Met Office 2025, provided under an Open Government License, http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Data citation: Japan Meteorological Agency. 2023, updated monthly. Japanese Reanalysis for Three Quarters of a Century (JRA-3Q). Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/AVTZ-1H78. Accessed 2025-01-13 12:57:43.
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Data citation: Huang, Boyin; Yin, Xungang; Menne, Matthew J.; Vose, Russell S.; and Zhang, Huai-Min. 2024. NOAA Global Surface Temperature Dataset (NOAAGlobalTemp), Version 6.0.. NOAA National Centers for Environmental Information. https://doi.org/10.25921/rzxg-p717. Accessed 2025-01-17 10:52:14.
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Data citation: Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., Thépaut, J-N. (2023): ERA5 monthly averaged data on single levels from 1940 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS), DOI: 10.24381/cds.f17050d7 (Accessed on 2025-01-17 12:20:54)
Acknowledgement: Contains using Copernicus Climate Change Service information [2025]. Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains.
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Data citation: GISTEMP Team, 2022: GISS Surface Temperature Analysis (GISTEMP), version 4. NASA Goddard Institute for Space Studies. Dataset accessed 2025-01-13 12:31:56 at data.giss.nasa.gov/gistemp/.
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Acknowledgement: HadCRUT.5.0.2.0 data were obtained from http://www.metoffice.gov.uk/hadobs/hadcrut5 on 2025-01-13 12:31:57 and are © British Crown Copyright, Met Office 2025, provided under an Open Government License, http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Data citation: Japan Meteorological Agency. 2023, updated monthly. Japanese Reanalysis for Three Quarters of a Century (JRA-3Q). Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/AVTZ-1H78. Accessed 2025-01-13 12:57:43.
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Data citation: Huang, Boyin; Yin, Xungang; Menne, Matthew J.; Vose, Russell S.; and Zhang, Huai-Min. 2024. NOAA Global Surface Temperature Dataset (NOAAGlobalTemp), Version 6.0.. NOAA National Centers for Environmental Information. https://doi.org/10.25921/rzxg-p717. Accessed 2025-01-17 10:52:14.
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Data citation: Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., Thépaut, J-N. (2023): ERA5 monthly averaged data on single levels from 1940 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS), DOI: 10.24381/cds.f17050d7 (Accessed on 2025-01-17 12:20:55)
Acknowledgement: Contains using Copernicus Climate Change Service information [2025]. Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains.
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Data citation: GISTEMP Team, 2022: GISS Surface Temperature Analysis (GISTEMP), version 4. NASA Goddard Institute for Space Studies. Dataset accessed 2025-01-13 12:31:56 at data.giss.nasa.gov/gistemp/.
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Acknowledgement: HadCRUT.5.0.2.0 data were obtained from http://www.metoffice.gov.uk/hadobs/hadcrut5 on 2025-01-13 12:31:57 and are © British Crown Copyright, Met Office 2025, provided under an Open Government License, http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Data citation: Japan Meteorological Agency. 2023, updated monthly. Japanese Reanalysis for Three Quarters of a Century (JRA-3Q). Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/AVTZ-1H78. Accessed 2025-01-13 12:57:43.
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Data citation: Huang, Boyin; Yin, Xungang; Menne, Matthew J.; Vose, Russell S.; and Zhang, Huai-Min. 2024. NOAA Global Surface Temperature Dataset (NOAAGlobalTemp), Version 6.0.. NOAA National Centers for Environmental Information. https://doi.org/10.25921/rzxg-p717. Accessed 2025-01-17 10:52:14.
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Data citation: Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., Thépaut, J-N. (2023): ERA5 monthly averaged data on single levels from 1940 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS), DOI: 10.24381/cds.f17050d7 (Accessed on 2025-01-17 12:20:56)
Acknowledgement: Contains using Copernicus Climate Change Service information [2025]. Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains.
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Data citation: GISTEMP Team, 2022: GISS Surface Temperature Analysis (GISTEMP), version 4. NASA Goddard Institute for Space Studies. Dataset accessed 2025-01-13 12:31:56 at data.giss.nasa.gov/gistemp/.
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Acknowledgement: HadCRUT.5.0.2.0 data were obtained from http://www.metoffice.gov.uk/hadobs/hadcrut5 on 2025-01-13 12:31:57 and are © British Crown Copyright, Met Office 2025, provided under an Open Government License, http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Data citation: Japan Meteorological Agency. 2023, updated monthly. Japanese Reanalysis for Three Quarters of a Century (JRA-3Q). Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/AVTZ-1H78. Accessed 2025-01-13 12:57:43.
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Data citation: Huang, Boyin; Yin, Xungang; Menne, Matthew J.; Vose, Russell S.; and Zhang, Huai-Min. 2024. NOAA Global Surface Temperature Dataset (NOAAGlobalTemp), Version 6.0.. NOAA National Centers for Environmental Information. https://doi.org/10.25921/rzxg-p717. Accessed 2025-01-17 10:52:14.
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Data citation: Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., Thépaut, J-N. (2023): ERA5 monthly averaged data on single levels from 1940 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS), DOI: 10.24381/cds.f17050d7 (Accessed on 2025-01-17 12:20:57)
Acknowledgement: Contains using Copernicus Climate Change Service information [2025]. Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains.
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Data citation: GISTEMP Team, 2022: GISS Surface Temperature Analysis (GISTEMP), version 4. NASA Goddard Institute for Space Studies. Dataset accessed 2025-01-13 12:31:56 at data.giss.nasa.gov/gistemp/.
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Acknowledgement: HadCRUT.5.0.2.0 data were obtained from http://www.metoffice.gov.uk/hadobs/hadcrut5 on 2025-01-13 12:31:57 and are © British Crown Copyright, Met Office 2025, provided under an Open Government License, http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Data citation: Japan Meteorological Agency. 2023, updated monthly. Japanese Reanalysis for Three Quarters of a Century (JRA-3Q). Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/AVTZ-1H78. Accessed 2025-01-13 12:57:43.
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Data citation: Huang, Boyin; Yin, Xungang; Menne, Matthew J.; Vose, Russell S.; and Zhang, Huai-Min. 2024. NOAA Global Surface Temperature Dataset (NOAAGlobalTemp), Version 6.0.. NOAA National Centers for Environmental Information. https://doi.org/10.25921/rzxg-p717. Accessed 2025-01-17 10:52:14.
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Data citation: Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., Thépaut, J-N. (2023): ERA5 monthly averaged data on single levels from 1940 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS), DOI: 10.24381/cds.f17050d7 (Accessed on 2025-01-17 12:20:58)
Acknowledgement: Contains using Copernicus Climate Change Service information [2025]. Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains.
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Data citation: GISTEMP Team, 2022: GISS Surface Temperature Analysis (GISTEMP), version 4. NASA Goddard Institute for Space Studies. Dataset accessed 2025-01-13 12:31:56 at data.giss.nasa.gov/gistemp/.
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Acknowledgement: HadCRUT.5.0.2.0 data were obtained from http://www.metoffice.gov.uk/hadobs/hadcrut5 on 2025-01-13 12:31:57 and are © British Crown Copyright, Met Office 2025, provided under an Open Government License, http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Data citation: Japan Meteorological Agency. 2023, updated monthly. Japanese Reanalysis for Three Quarters of a Century (JRA-3Q). Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/AVTZ-1H78. Accessed 2025-01-13 12:57:43.
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Data citation: Huang, Boyin; Yin, Xungang; Menne, Matthew J.; Vose, Russell S.; and Zhang, Huai-Min. 2024. NOAA Global Surface Temperature Dataset (NOAAGlobalTemp), Version 6.0.. NOAA National Centers for Environmental Information. https://doi.org/10.25921/rzxg-p717. Accessed 2025-01-17 10:52:14.
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Data citation: Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., Thépaut, J-N. (2023): ERA5 monthly averaged data on single levels from 1940 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS), DOI: 10.24381/cds.f17050d7 (Accessed on 2025-01-04 11:16:58)
Acknowledgement: Contains using Copernicus Climate Change Service information [2025]. Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains.
To produce the plot, the following processing steps were performed:
Original data file (external link) Original data file (external link)
Citation:
Data citation: GISTEMP Team, 2022: GISS Surface Temperature Analysis (GISTEMP), version 4. NASA Goddard Institute for Space Studies. Dataset accessed 2025-01-08 14:54:09 at data.giss.nasa.gov/gistemp/.
To produce the plot, the following processing steps were performed:
Original data file (external link) Original data file (external link)
Citation:
Acknowledgement: HadCRUT.5.0.2.0 data were obtained from http://www.metoffice.gov.uk/hadobs/hadcrut5 on 2025-01-09 13:40:27 and are © British Crown Copyright, Met Office 2025, provided under an Open Government License, http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Data citation: Japan Meteorological Agency. 2023, updated monthly. Japanese Reanalysis for Three Quarters of a Century (JRA-3Q). Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/AVTZ-1H78. Accessed 2025-01-07 10:53:00.
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Data citation: Huang, Boyin; Yin, Xungang; Menne, Matthew J.; Vose, Russell S.; and Zhang, Huai-Min. 2024. NOAA Global Surface Temperature Dataset (NOAAGlobalTemp), Version 6.0.. NOAA National Centers for Environmental Information. https://doi.org/10.25921/rzxg-p717. Accessed 2025-01-17 16:27:07.
To produce the plot, the following processing steps were performed:
Global mean temperature is based on measurements made at weather stations over land and by ships and buoys over the ocean. Temperatures are typically expressed as anomalies which are temperature differences from the average for a standard period. Here, 1850-1900 is used for the global mean. Instrumental temperature records are some of the longest climate records available, with some series extending back to the 17th century.
The data in the above plot are available in a zip file containing a csv file for each data set.
Data file: Temperature_anomaly_map_SWPacific_data_files.zip
Checksum: 76cdb2bad9582d23c1f6f4d868218d6c
Format: BADC CSV format
Original data file (external link)
Citation:
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Data citation: Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., Thépaut, J-N. (2023): ERA5 monthly averaged data on single levels from 1940 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS), DOI: 10.24381/cds.f17050d7 (Accessed on AAAA)
Acknowledgement: Contains using Copernicus Climate Change Service information [YYYY]. Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains.
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Data citation: GISTEMP Team, 2022: GISS Surface Temperature Analysis (GISTEMP), version 4. NASA Goddard Institute for Space Studies. Dataset accessed 2025-01-13 12:31:56 at data.giss.nasa.gov/gistemp/.
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Acknowledgement: HadCRUT.VVVV data were obtained from http://www.metoffice.gov.uk/hadobs/hadcrut5 on AAAA and are © British Crown Copyright, Met Office YYYY, provided under an Open Government License, http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Data citation: Japan Meteorological Agency. 2023, updated monthly. Japanese Reanalysis for Three Quarters of a Century (JRA-3Q). Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/AVTZ-1H78. Accessed AAAA.
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Data citation: Huang, Boyin; Yin, Xungang; Menne, Matthew J.; Vose, Russell S.; and Zhang, Huai-Min. 2024. NOAA Global Surface Temperature Dataset (NOAAGlobalTemp), Version 6.0.. NOAA National Centers for Environmental Information. https://doi.org/10.25921/rzxg-p717. Accessed AAAA.
To produce the plot, the following processing steps were performed:
Global mean temperature is based on measurements made at weather stations over land and by ships and buoys over the ocean. Temperatures are typically expressed as anomalies which are temperature differences from the average for a standard period. Here, 1850-1900 is used for the global mean. Instrumental temperature records are some of the longest climate records available, with some series extending back to the 17th century.
The data in the above plot are available in a zip file containing a csv file for each data set.
Data file: Temperature_anomaly_uncertainty_map_SWPacific_data_files.zip
Checksum: 76cdb2bad9582d23c1f6f4d868218d6c
Format: BADC CSV format
Original data file (external link)
Citation:
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Data citation: Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., Thépaut, J-N. (2023): ERA5 monthly averaged data on single levels from 1940 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS), DOI: 10.24381/cds.f17050d7 (Accessed on AAAA)
Acknowledgement: Contains using Copernicus Climate Change Service information [YYYY]. Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains.
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Data citation: GISTEMP Team, 2022: GISS Surface Temperature Analysis (GISTEMP), version 4. NASA Goddard Institute for Space Studies. Dataset accessed 2025-01-13 12:31:56 at data.giss.nasa.gov/gistemp/.
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Acknowledgement: HadCRUT.VVVV data were obtained from http://www.metoffice.gov.uk/hadobs/hadcrut5 on AAAA and are © British Crown Copyright, Met Office YYYY, provided under an Open Government License, http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Data citation: Japan Meteorological Agency. 2023, updated monthly. Japanese Reanalysis for Three Quarters of a Century (JRA-3Q). Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/AVTZ-1H78. Accessed AAAA.
To produce the plot, the following processing steps were performed:
Original data file (external link)
Citation:
Data citation: Huang, Boyin; Yin, Xungang; Menne, Matthew J.; Vose, Russell S.; and Zhang, Huai-Min. 2024. NOAA Global Surface Temperature Dataset (NOAAGlobalTemp), Version 6.0.. NOAA National Centers for Environmental Information. https://doi.org/10.25921/rzxg-p717. Accessed AAAA.
To produce the plot, the following processing steps were performed:
Precipitation quantiles are based on the twelve months aggregated GPCC Monitoring Product and First Guess Monthly product. The baseline period is 1991-2020, using Full Data Monthly in its latest version. Quality controlled rain gauge (in situ) data are used and the quality control protocol depends on the data set. The percentiles are not calculated for those grid cells, where the precipitation total aggregated in the reference period is below ten millimetres.
The data in the above plot are available in a zip file containing a csv file for each data set.
Data file: Precipitation_percentile_map_SW_Pacific_data_files.zip
Checksum: 76cdb2bad9582d23c1f6f4d868218d6c
Format: BADC CSV format
Original data file (external link)
To produce the plot, the following processing steps were performed:
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