✨ climate: harmonize charts on temperature anomalies #4042
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data-diff: ❌ Found differences= Dataset garden/climate/2025-01-21/climate_change_impacts
= Table climate_change_impacts_monthly
~ Column sea_temperature_anomaly (changed metadata, changed data)
- - title: Monthly sea surface temperature anomaly
? ^
+ + title: Monthly sea surface temperature anomalies
? ^^^
- - description_short: Measured in degrees Celsius.
+ + description_short: |-
+ + The deviation of the average sea surface temperature measured at a nominal depth of 20cm from the 1861-1890 mean, in degrees Celsius.
+ + description_from_producer: |-
+ + The 1961-90 period is most often used as a baseline because it is the period recommended by the World Meteorological Organisation. In some cases other periods are used. For global average temperatures, an 1861-1890 period is sometimes used to show the warming since the "pre-industrial" period.
+ + description_key:
+ + - |-
+ + Temperature anomalies show how many degrees Celsius temperatures have changed compared to the 1861-1890 period. This baseline period is commonly used to highlight the changes in temperature since pre-industrial times, prior to major human impacts.
+ + - |-
+ + The data includes separate measurements for the Northern and Southern Hemispheres, which helps researchers analyze regional differences.
+ + - |-
+ + This data is based on the HadISST method. This method averages temperature measurements onto a fixed grid. If no data is available for a grid cell, it remains empty and adds extra uncertainty when calculating averages like the global mean.
+ + - Despite different approaches, HadISST and other methods show similar global temperature trends.
+ + display:
+ + numDecimalPlaces: 1
- - processing_level: minor
? ^^
+ + processing_level: major
? ^^
~ Changed values: 6300 / 8303 (75.88%)
location date sea_temperature_anomaly - sea_temperature_anomaly +
Northern Hemisphere 1911-02-15 -0.60237 -0.419811
Northern Hemisphere 1957-11-15 0.13113 0.313689
Southern Hemisphere 1932-07-15 -0.22288 0.095088
World 1886-08-15 -0.38524 -0.116474
World 1894-04-15 -0.41793 -0.149164
~ Column sea_temperature_anomaly_high (changed metadata, changed data)
- - title: Monthly sea surface temperature anomaly (upper bound)
? ^
+ + title: Monthly sea surface temperature anomalies (upper bound)
? ^^^
- - description_short: Measured in degrees Celsius.
+ + description_short: |-
+ + The upper bound, defined as the 95% confidence interval for the annual sea surface temperature anomalies, represents the deviation of the average sea surface temperature measured at a nominal depth of 20 cm from the 1861–1890 mean, in degrees Celsius.
+ + description_from_producer: |-
+ + The 1961-90 period is most often used as a baseline because it is the period recommended by the World Meteorological Organisation. In some cases other periods are used. For global average temperatures, an 1861-1890 period is sometimes used to show the warming since the "pre-industrial" period.
+ + description_key:
+ + - |-
+ + The upper bound is the 95% confidence interval for the annual sea surface temperature anomalies. It represents the range of values within which the true value is expected to fall with 95% certainty.
+ + display:
+ + numDecimalPlaces: 1
- - processing_level: minor
? ^^
+ + processing_level: major
? ^^
~ Changed values: 6300 / 8303 (75.88%)
location date sea_temperature_anomaly_high - sea_temperature_anomaly_high +
Northern Hemisphere 1911-02-15 -0.513 -0.330441
Northern Hemisphere 1957-11-15 0.21 0.392559
Southern Hemisphere 1932-07-15 -0.127 0.190968
World 1886-08-15 -0.3385 -0.069734
World 1894-04-15 -0.3605 -0.091734
~ Column sea_temperature_anomaly_low (changed metadata, changed data)
- - title: Monthly sea surface temperature anomaly (lower bound)
? ^
+ + title: Monthly sea surface temperature anomalies (lower bound)
? ^^^
- - description_short: Measured in degrees Celsius.
+ + description_short: |-
+ + The lower bound, defined as the 95% confidence interval for the annual sea surface temperature anomalies, represents the deviation of the average sea surface temperature measured at a nominal depth of 20 cm from the 1861–1890 mean, in degrees Celsius.
+ + description_from_producer: |-
+ + The 1961-90 period is most often used as a baseline because it is the period recommended by the World Meteorological Organisation. In some cases other periods are used. For global average temperatures, an 1861-1890 period is sometimes used to show the warming since the "pre-industrial" period.
+ + description_key:
+ + - |-
+ + The lower bound is the 95% confidence interval for the annual sea surface temperature anomalies. It represents the range of values within which the true value is expected to fall with 95% certainty.
+ + display:
+ + numDecimalPlaces: 1
- - processing_level: minor
? ^^
+ + processing_level: major
? ^^
~ Changed values: 6300 / 8303 (75.88%)
location date sea_temperature_anomaly_low - sea_temperature_anomaly_low +
Northern Hemisphere 1911-02-15 -0.6735 -0.490941
Northern Hemisphere 1957-11-15 0.056 0.238559
Southern Hemisphere 1932-07-15 -0.3065 0.011468
World 1886-08-15 -0.438 -0.169234
World 1894-04-15 -0.4855 -0.216734
~ Column temperature_anomaly (changed metadata, changed data)
- - title: 'Global warming: monthly temperature anomaly'
? ^
+ + title: 'Global warming: monthly temperature anomalies'
? ^^^
- - description_short: |-
- - Combined land-surface air and sea-surface water temperature anomaly, given as the deviation from the 1951-1980 mean, in degrees Celsius.
+ + description_short: The deviation of the average land-sea surface temperature from the 1880-1900 mean, in degrees Celsius.
+ + description_key:
+ + - Temperature anomalies show how many degrees Celsius temperatures have changed compared to the 1880-1900 period.
+ + - |-
+ + While 1861–1890 baseline period is commonly used to highlight the changes in temperature since pre-industrial times, here we use 1880–1900 instead, as monthly data on temperature anomalies in this dataset is only available from 1880.
+ + - Temperature averages and anomalies are calculated over all land and ocean surfaces.
+ + - |-
+ + The data includes separate measurements for the Northern and Southern Hemispheres, which helps researchers analyze regional differences.
+ + - |-
+ + This data is based on the GISS method which estimates temperatures in areas without data by using information from nearby locations within 1200 kilometers. This is especially useful in the Arctic and Antarctic, where measurements are sparse.
+ + - Despite different approaches, GISS and other methods show similar global temperature trends.
+ + display:
+ + numDecimalPlaces: 1
- - processing_level: minor
? ^^
+ + processing_level: major
? ^^
~ Changed values: 5220 / 8303 (62.87%)
location date temperature_anomaly - temperature_anomaly +
Northern Hemisphere 1944-06-15 0.16 0.471794
Northern Hemisphere 2014-08-15 0.92 1.231794
World 1947-05-15 -0.02 0.203175
World 1954-05-15 -0.2 0.023175
World 1957-11-15 0.08 0.303175
= Table climate_change_impacts_annual
~ Dim location
+ + New values: 390 / 5481 (7.12%)
year location
1904 Northern Hemisphere
1974 Northern Hemisphere
1850 Southern Hemisphere
1959 Southern Hemisphere
2024 Southern Hemisphere
~ Dim year
+ + New values: 390 / 5481 (7.12%)
location year
Northern Hemisphere 1904
Northern Hemisphere 1974
Southern Hemisphere 1850
Southern Hemisphere 1959
Southern Hemisphere 2024
~ Column antarctic_sea_ice_extent_max (new data)
+ + New values: 390 / 5481 (7.12%)
location year antarctic_sea_ice_extent_max
Northern Hemisphere 1904 <NA>
Northern Hemisphere 1974 <NA>
Southern Hemisphere 1850 <NA>
Southern Hemisphere 1959 <NA>
Southern Hemisphere 2024 <NA>
~ Column antarctic_sea_ice_extent_min (new data)
+ + New values: 390 / 5481 (7.12%)
location year antarctic_sea_ice_extent_min
Northern Hemisphere 1904 <NA>
Northern Hemisphere 1974 <NA>
Southern Hemisphere 1850 <NA>
Southern Hemisphere 1959 <NA>
Southern Hemisphere 2024 <NA>
~ Column arctic_sea_ice_extent_max (new data)
+ + New values: 390 / 5481 (7.12%)
location year arctic_sea_ice_extent_max
Northern Hemisphere 1904 <NA>
Northern Hemisphere 1974 <NA>
Southern Hemisphere 1850 <NA>
Southern Hemisphere 1959 <NA>
Southern Hemisphere 2024 <NA>
~ Column arctic_sea_ice_extent_min (new data)
+ + New values: 390 / 5481 (7.12%)
location year arctic_sea_ice_extent_min
Northern Hemisphere 1904 <NA>
Northern Hemisphere 1974 <NA>
Southern Hemisphere 1850 <NA>
Southern Hemisphere 1959 <NA>
Southern Hemisphere 2024 <NA>
~ Column ch4_concentration (new data)
+ + New values: 390 / 5481 (7.12%)
location year ch4_concentration
Northern Hemisphere 1904 <NA>
Northern Hemisphere 1974 <NA>
Southern Hemisphere 1850 <NA>
Southern Hemisphere 1959 <NA>
Southern Hemisphere 2024 <NA>
~ Column co2_concentration (new data)
+ + New values: 390 / 5481 (7.12%)
location year co2_concentration
Northern Hemisphere 1904 <NA>
Northern Hemisphere 1974 <NA>
Southern Hemisphere 1850 <NA>
Southern Hemisphere 1959 <NA>
Southern Hemisphere 2024 <NA>
~ Column mass_balance_us_glaciers (new data)
+ + New values: 390 / 5481 (7.12%)
location year mass_balance_us_glaciers
Northern Hemisphere 1904 <NA>
Northern Hemisphere 1974 <NA>
Southern Hemisphere 1850 <NA>
Southern Hemisphere 1959 <NA>
Southern Hemisphere 2024 <NA>
~ Column n2o_concentration (new data)
+ + New values: 390 / 5481 (7.12%)
location year n2o_concentration
Northern Hemisphere 1904 <NA>
Northern Hemisphere 1974 <NA>
Southern Hemisphere 1850 <NA>
Southern Hemisphere 1959 <NA>
Southern Hemisphere 2024 <NA>
~ Column ocean_heat_content_csiro_700m (new data)
+ + New values: 390 / 5481 (7.12%)
location year ocean_heat_content_csiro_700m
Northern Hemisphere 1904 <NA>
Northern Hemisphere 1974 <NA>
Southern Hemisphere 1850 <NA>
Southern Hemisphere 1959 <NA>
Southern Hemisphere 2024 <NA>
~ Column ocean_heat_content_iap_2000m (new data)
+ + New values: 390 / 5481 (7.12%)
location year ocean_heat_content_iap_2000m
Northern Hemisphere 1904 <NA>
Northern Hemisphere 1974 <NA>
Southern Hemisphere 1850 <NA>
Southern Hemisphere 1959 <NA>
Southern Hemisphere 2024 <NA>
~ Column ocean_heat_content_iap_700m (new data)
+ + New values: 390 / 5481 (7.12%)
location year ocean_heat_content_iap_700m
Northern Hemisphere 1904 <NA>
Northern Hemisphere 1974 <NA>
Southern Hemisphere 1850 <NA>
Southern Hemisphere 1959 <NA>
Southern Hemisphere 2024 <NA>
~ Column ocean_heat_content_mri_2000m (new data)
+ + New values: 390 / 5481 (7.12%)
location year ocean_heat_content_mri_2000m
Northern Hemisphere 1904 <NA>
Northern Hemisphere 1974 <NA>
Southern Hemisphere 1850 <NA>
Southern Hemisphere 1959 <NA>
Southern Hemisphere 2024 <NA>
~ Column ocean_heat_content_mri_700m (new data)
+ + New values: 390 / 5481 (7.12%)
location year ocean_heat_content_mri_700m
Northern Hemisphere 1904 <NA>
Northern Hemisphere 1974 <NA>
Southern Hemisphere 1850 <NA>
Southern Hemisphere 1959 <NA>
Southern Hemisphere 2024 <NA>
~ Column ocean_heat_content_noaa_2000m (new data)
+ + New values: 390 / 5481 (7.12%)
location year ocean_heat_content_noaa_2000m
Northern Hemisphere 1904 <NA>
Northern Hemisphere 1974 <NA>
Southern Hemisphere 1850 <NA>
Southern Hemisphere 1959 <NA>
Southern Hemisphere 2024 <NA>
~ Column ocean_heat_content_noaa_700m (new data)
+ + New values: 390 / 5481 (7.12%)
location year ocean_heat_content_noaa_700m
Northern Hemisphere 1904 <NA>
Northern Hemisphere 1974 <NA>
Southern Hemisphere 1850 <NA>
Southern Hemisphere 1959 <NA>
Southern Hemisphere 2024 <NA>
~ Column sea_temperature_anomaly (changed metadata, new data, changed data)
- - {}
+ + title: Annual sea surface temperature anomalies
+ + description_short: |-
+ + The deviation of the average sea surface temperature measured at a nominal depth of 20cm from the 1861-1890 mean, in degrees Celsius.
+ + description_from_producer: |-
+ + The 1961-90 period is most often used as a baseline because it is the period recommended by the World Meteorological Organisation. In some cases other periods are used. For global average temperatures, an 1861-1890 period is sometimes used to show the warming since the "pre-industrial" period.
+ + description_key:
+ + - |-
+ + Temperature anomalies show how many degrees Celsius temperatures have changed compared to the 1861-1890 period. This baseline period is commonly used to highlight the changes in temperature since pre-industrial times, prior to major human impacts.
+ + - |-
+ + The data includes separate measurements for the Northern and Southern Hemispheres, which helps researchers analyze regional differences.
+ + - |-
+ + This data is based on the HadISST method. This method averages temperature measurements onto a fixed grid. If no data is available for a grid cell, it remains empty and adds extra uncertainty when calculating averages like the global mean.
+ + - Despite different approaches, HadISST and other methods show similar global temperature trends.
+ + origins:
+ + - producer: Met Office Hadley Centre
+ + title: Hadley Centre's Sea Surface Temperature (HadSST)
+ + title_snapshot: Hadley Centre's Sea Surface Temperature (HadSST) - Northern hemisphere
+ + citation_full: |-
+ + Met Office Hadley Centre - Hadley Centre's Sea Surface Temperature (HadSST).
+ +
+ + Kennedy, J. J., Rayner, N. A., Atkinson, C. P., & Killick, R.
+ + E. (2019). An ensemble data set of sea-surface temperature change from 1850:
+ + the Met Office Hadley Centre HadSST.4.0.0.0 data set. Journal of Geophysical
+ + Research: Atmospheres, 124. https://doi.org/10.1029/2018JD029867
+ + attribution: Met Office Hadley Centre - Hadley Centre's Sea Surface Temperature (HadSST) (2025)
+ + attribution_short: Met Office
+ + version_producer: 4.0.1.0
+ + url_main: https://www.metoffice.gov.uk/hadobs/hadsst4/
+ + url_download: https://www.metoffice.gov.uk/hadobs/hadsst4/data/csv/HadSST.4.0.1.0_monthly_NHEM.csv
+ + date_accessed: '2025-01-21'
+ + date_published: '2025-01-06'
+ + license:
+ + name: Open Government Licence v3
+ + url: https://www.metoffice.gov.uk/hadobs/hadsst4/data/download.html
+ + - producer: Met Office Hadley Centre
+ + title: Hadley Centre's Sea Surface Temperature (HadSST)
+ + title_snapshot: Hadley Centre's Sea Surface Temperature (HadSST) - Southern hemisphere
+ + citation_full: |-
+ + Met Office Hadley Centre - Hadley Centre's Sea Surface Temperature (HadSST).
+ +
+ + Kennedy, J. J., Rayner, N. A., Atkinson, C. P., & Killick, R.
+ + E. (2019). An ensemble data set of sea-surface temperature change from 1850:
+ + the Met Office Hadley Centre HadSST.4.0.0.0 data set. Journal of Geophysical
+ + Research: Atmospheres, 124. https://doi.org/10.1029/2018JD029867
+ + attribution: Met Office Hadley Centre - Hadley Centre's Sea Surface Temperature (HadSST) (2025)
+ + attribution_short: Met Office
+ + version_producer: 4.0.1.0
+ + url_main: https://www.metoffice.gov.uk/hadobs/hadsst4/
+ + url_download: https://www.metoffice.gov.uk/hadobs/hadsst4/data/csv/HadSST.4.0.1.0_monthly_SHEM.csv
+ + date_accessed: '2025-01-21'
+ + date_published: '2025-01-06'
+ + license:
+ + name: Open Government Licence v3
+ + url: https://www.metoffice.gov.uk/hadobs/hadsst4/data/download.html
+ + - producer: Met Office Hadley Centre
+ + title: Hadley Centre's Sea Surface Temperature (HadSST)
+ + title_snapshot: Hadley Centre's Sea Surface Temperature (HadSST) - World
+ + citation_full: |-
+ + Met Office Hadley Centre - Hadley Centre's Sea Surface Temperature (HadSST).
+ +
+ + Kennedy, J. J., Rayner, N. A., Atkinson, C. P., & Killick, R.
+ + E. (2019). An ensemble data set of sea-surface temperature change from 1850:
+ + the Met Office Hadley Centre HadSST.4.0.0.0 data set. Journal of Geophysical
+ + Research: Atmospheres, 124. https://doi.org/10.1029/2018JD029867
+ + attribution: Met Office Hadley Centre - Hadley Centre's Sea Surface Temperature (HadSST) (2025)
+ + attribution_short: Met Office
+ + version_producer: 4.0.1.0
+ + url_main: https://www.metoffice.gov.uk/hadobs/hadsst4/
+ + url_download: https://www.metoffice.gov.uk/hadobs/hadsst4/data/csv/HadSST.4.0.1.0_monthly_GLOBE.csv
+ + date_accessed: '2025-01-21'
+ + date_published: '2025-01-06'
+ + license:
+ + name: Open Government Licence v3
+ + url: https://www.metoffice.gov.uk/hadobs/hadsst4/data/download.html
+ + unit: °C
+ + short_unit: °C
+ + display:
+ + numDecimalPlaces: 1
+ + processing_level: major
+ + presentation:
+ + topic_tags:
+ + - Climate Change
+ + New values: 390 / 5481 (7.12%)
location year sea_temperature_anomaly
Northern Hemisphere 1904 -0.39117
Northern Hemisphere 1974 -0.009312
Southern Hemisphere 1850 -0.066854
Southern Hemisphere 1959 0.200783
Southern Hemisphere 2024 1.069147
~ Changed values: 135 / 5481 (2.46%)
location year sea_temperature_anomaly - sea_temperature_anomaly +
World 1911 NaN -0.31747
World 1932 NaN 0.076113
World 1973 NaN 0.279511
World 2010 NaN 0.754334
World 2016 NaN 0.988219
~ Column sea_temperature_anomaly_high (changed metadata, new data, changed data)
- - {}
+ + title: Annual sea surface temperature anomalies (upper bound)
+ + description_short: |-
+ + The upper bound, defined as the 95% confidence interval for the annual sea surface temperature anomalies, represents the deviation of the average sea surface temperature measured at a nominal depth of 20 cm from the 1861–1890 mean, in degrees Celsius.
+ + description_from_producer: |-
+ + The 1961-90 period is most often used as a baseline because it is the period recommended by the World Meteorological Organisation. In some cases other periods are used. For global average temperatures, an 1861-1890 period is sometimes used to show the warming since the "pre-industrial" period.
+ + description_key:
+ + - |-
+ + The upper bound is the 95% confidence interval for the annual sea surface temperature anomalies. It represents the range of values within which the true value is expected to fall with 95% certainty.
+ + origins:
+ + - producer: Met Office Hadley Centre
+ + title: Hadley Centre's Sea Surface Temperature (HadSST)
+ + title_snapshot: Hadley Centre's Sea Surface Temperature (HadSST) - Northern hemisphere
+ + citation_full: |-
+ + Met Office Hadley Centre - Hadley Centre's Sea Surface Temperature (HadSST).
+ +
+ + Kennedy, J. J., Rayner, N. A., Atkinson, C. P., & Killick, R.
+ + E. (2019). An ensemble data set of sea-surface temperature change from 1850:
+ + the Met Office Hadley Centre HadSST.4.0.0.0 data set. Journal of Geophysical
+ + Research: Atmospheres, 124. https://doi.org/10.1029/2018JD029867
+ + attribution: Met Office Hadley Centre - Hadley Centre's Sea Surface Temperature (HadSST) (2025)
+ + attribution_short: Met Office
+ + version_producer: 4.0.1.0
+ + url_main: https://www.metoffice.gov.uk/hadobs/hadsst4/
+ + url_download: https://www.metoffice.gov.uk/hadobs/hadsst4/data/csv/HadSST.4.0.1.0_monthly_NHEM.csv
+ + date_accessed: '2025-01-21'
+ + date_published: '2025-01-06'
+ + license:
+ + name: Open Government Licence v3
+ + url: https://www.metoffice.gov.uk/hadobs/hadsst4/data/download.html
+ + - producer: Met Office Hadley Centre
+ + title: Hadley Centre's Sea Surface Temperature (HadSST)
+ + title_snapshot: Hadley Centre's Sea Surface Temperature (HadSST) - Southern hemisphere
+ + citation_full: |-
+ + Met Office Hadley Centre - Hadley Centre's Sea Surface Temperature (HadSST).
+ +
+ + Kennedy, J. J., Rayner, N. A., Atkinson, C. P., & Killick, R.
+ + E. (2019). An ensemble data set of sea-surface temperature change from 1850:
+ + the Met Office Hadley Centre HadSST.4.0.0.0 data set. Journal of Geophysical
+ + Research: Atmospheres, 124. https://doi.org/10.1029/2018JD029867
+ + attribution: Met Office Hadley Centre - Hadley Centre's Sea Surface Temperature (HadSST) (2025)
+ + attribution_short: Met Office
+ + version_producer: 4.0.1.0
+ + url_main: https://www.metoffice.gov.uk/hadobs/hadsst4/
+ + url_download: https://www.metoffice.gov.uk/hadobs/hadsst4/data/csv/HadSST.4.0.1.0_monthly_SHEM.csv
+ + date_accessed: '2025-01-21'
+ + date_published: '2025-01-06'
+ + license:
+ + name: Open Government Licence v3
+ + url: https://www.metoffice.gov.uk/hadobs/hadsst4/data/download.html
+ + - producer: Met Office Hadley Centre
+ + title: Hadley Centre's Sea Surface Temperature (HadSST)
+ + title_snapshot: Hadley Centre's Sea Surface Temperature (HadSST) - World
+ + citation_full: |-
+ + Met Office Hadley Centre - Hadley Centre's Sea Surface Temperature (HadSST).
+ +
+ + Kennedy, J. J., Rayner, N. A., Atkinson, C. P., & Killick, R.
+ + E. (2019). An ensemble data set of sea-surface temperature change from 1850:
+ + the Met Office Hadley Centre HadSST.4.0.0.0 data set. Journal of Geophysical
+ + Research: Atmospheres, 124. https://doi.org/10.1029/2018JD029867
+ + attribution: Met Office Hadley Centre - Hadley Centre's Sea Surface Temperature (HadSST) (2025)
+ + attribution_short: Met Office
+ + version_producer: 4.0.1.0
+ + url_main: https://www.metoffice.gov.uk/hadobs/hadsst4/
+ + url_download: https://www.metoffice.gov.uk/hadobs/hadsst4/data/csv/HadSST.4.0.1.0_monthly_GLOBE.csv
+ + date_accessed: '2025-01-21'
+ + date_published: '2025-01-06'
+ + license:
+ + name: Open Government Licence v3
+ + url: https://www.metoffice.gov.uk/hadobs/hadsst4/data/download.html
+ + unit: °C
+ + short_unit: °C
+ + display:
+ + numDecimalPlaces: 1
+ + processing_level: major
+ + presentation:
+ + topic_tags:
+ + - Climate Change
+ + New values: 390 / 5481 (7.12%)
location year sea_temperature_anomaly_high
Northern Hemisphere 1904 -0.2904
Northern Hemisphere 1974 0.010809
Southern Hemisphere 1850 0.003801
Southern Hemisphere 1959 0.305468
Southern Hemisphere 2024 1.091509
~ Changed values: 135 / 5481 (2.46%)
location year sea_temperature_anomaly_high - sea_temperature_anomaly_high +
World 1911 NaN -0.264401
World 1932 NaN 0.168725
World 1973 NaN 0.300058
World 2010 NaN 0.774808
World 2016 NaN 1.010891
~ Column sea_temperature_anomaly_low (changed metadata, new data, changed data)
- - {}
+ + title: Annual sea surface temperature anomalies (lower bound)
+ + description_short: |-
+ + The lower bound, defined as the 95% confidence interval for the annual sea surface temperature anomalies, represents the deviation of the average sea surface temperature measured at a nominal depth of 20 cm from the 1861–1890 mean, in degrees Celsius.
+ + description_from_producer: |-
+ + The 1961-90 period is most often used as a baseline because it is the period recommended by the World Meteorological Organisation. In some cases other periods are used. For global average temperatures, an 1861-1890 period is sometimes used to show the warming since the "pre-industrial" period.
+ + description_key:
+ + - |-
+ + The lower bound is the 95% confidence interval for the annual sea surface temperature anomalies. It represents the range of values within which the true value is expected to fall with 95% certainty.
+ + origins:
+ + - producer: Met Office Hadley Centre
+ + title: Hadley Centre's Sea Surface Temperature (HadSST)
+ + title_snapshot: Hadley Centre's Sea Surface Temperature (HadSST) - Northern hemisphere
+ + citation_full: |-
+ + Met Office Hadley Centre - Hadley Centre's Sea Surface Temperature (HadSST).
+ +
+ + Kennedy, J. J., Rayner, N. A., Atkinson, C. P., & Killick, R.
+ + E. (2019). An ensemble data set of sea-surface temperature change from 1850:
+ + the Met Office Hadley Centre HadSST.4.0.0.0 data set. Journal of Geophysical
+ + Research: Atmospheres, 124. https://doi.org/10.1029/2018JD029867
+ + attribution: Met Office Hadley Centre - Hadley Centre's Sea Surface Temperature (HadSST) (2025)
+ + attribution_short: Met Office
+ + version_producer: 4.0.1.0
+ + url_main: https://www.metoffice.gov.uk/hadobs/hadsst4/
+ + url_download: https://www.metoffice.gov.uk/hadobs/hadsst4/data/csv/HadSST.4.0.1.0_monthly_NHEM.csv
+ + date_accessed: '2025-01-21'
+ + date_published: '2025-01-06'
+ + license:
+ + name: Open Government Licence v3
+ + url: https://www.metoffice.gov.uk/hadobs/hadsst4/data/download.html
+ + - producer: Met Office Hadley Centre
+ + title: Hadley Centre's Sea Surface Temperature (HadSST)
+ + title_snapshot: Hadley Centre's Sea Surface Temperature (HadSST) - Southern hemisphere
+ + citation_full: |-
+ + Met Office Hadley Centre - Hadley Centre's Sea Surface Temperature (HadSST).
+ +
+ + Kennedy, J. J., Rayner, N. A., Atkinson, C. P., & Killick, R.
+ + E. (2019). An ensemble data set of sea-surface temperature change from 1850:
+ + the Met Office Hadley Centre HadSST.4.0.0.0 data set. Journal of Geophysical
+ + Research: Atmospheres, 124. https://doi.org/10.1029/2018JD029867
+ + attribution: Met Office Hadley Centre - Hadley Centre's Sea Surface Temperature (HadSST) (2025)
+ + attribution_short: Met Office
+ + version_producer: 4.0.1.0
+ + url_main: https://www.metoffice.gov.uk/hadobs/hadsst4/
+ + url_download: https://www.metoffice.gov.uk/hadobs/hadsst4/data/csv/HadSST.4.0.1.0_monthly_SHEM.csv
+ + date_accessed: '2025-01-21'
+ + date_published: '2025-01-06'
+ + license:
+ + name: Open Government Licence v3
+ + url: https://www.metoffice.gov.uk/hadobs/hadsst4/data/download.html
+ + - producer: Met Office Hadley Centre
+ + title: Hadley Centre's Sea Surface Temperature (HadSST)
+ + title_snapshot: Hadley Centre's Sea Surface Temperature (HadSST) - World
+ + citation_full: |-
+ + Met Office Hadley Centre - Hadley Centre's Sea Surface Temperature (HadSST).
+ +
+ + Kennedy, J. J., Rayner, N. A., Atkinson, C. P., & Killick, R.
+ + E. (2019). An ensemble data set of sea-surface temperature change from 1850:
+ + the Met Office Hadley Centre HadSST.4.0.0.0 data set. Journal of Geophysical
+ + Research: Atmospheres, 124. https://doi.org/10.1029/2018JD029867
+ + attribution: Met Office Hadley Centre - Hadley Centre's Sea Surface Temperature (HadSST) (2025)
+ + attribution_short: Met Office
+ + version_producer: 4.0.1.0
+ + url_main: https://www.metoffice.gov.uk/hadobs/hadsst4/
+ + url_download: https://www.metoffice.gov.uk/hadobs/hadsst4/data/csv/HadSST.4.0.1.0_monthly_GLOBE.csv
+ + date_accessed: '2025-01-21'
+ + date_published: '2025-01-06'
+ + license:
+ + name: Open Government Licence v3
+ + url: https://www.metoffice.gov.uk/hadobs/hadsst4/data/download.html
+ + unit: °C
+ + short_unit: °C
+ + display:
+ + numDecimalPlaces: 1
+ + processing_level: major
+ + presentation:
+ + topic_tags:
+ + - Climate Change
+ + New values: 390 / 5481 (7.12%)
location year sea_temperature_anomaly_low
Northern Hemisphere 1904 -0.488316
Northern Hemisphere 1974 -0.031275
Southern Hemisphere 1850 -0.148782
Southern Hemisphere 1959 0.122968
Southern Hemisphere 2024 1.043468
~ Changed values: 135 / 5481 (2.46%)
location year sea_temperature_anomaly_low - sea_temperature_anomaly_low +
World 1911 NaN -0.380734
World 1932 NaN -0.008192
World 1973 NaN 0.258016
World 2010 NaN 0.729391
World 2016 NaN 0.964183
= Dataset garden/climate/2025-01-21/sea_surface_temperature
= Table sea_surface_temperature
~ Column sea_temperature_anomaly (changed metadata, changed data)
- - title: Monthly sea surface temperature anomaly
? ^
+ + title: Monthly sea surface temperature anomalies
? ^^^
- - description_short: Measured in degrees Celsius.
+ + description_short: |-
+ + The deviation of the average sea surface temperature measured at a nominal depth of 20cm from the 1861-1890 mean, in degrees Celsius.
+ + description_from_producer: |-
+ + The 1961-90 period is most often used as a baseline because it is the period recommended by the World Meteorological Organisation. In some cases other periods are used. For global average temperatures, an 1861-1890 period is sometimes used to show the warming since the "pre-industrial" period.
+ + description_key:
+ + - |-
+ + Temperature anomalies show how many degrees Celsius temperatures have changed compared to the 1861-1890 period. This baseline period is commonly used to highlight the changes in temperature since pre-industrial times, prior to major human impacts.
+ + - |-
+ + The data includes separate measurements for the Northern and Southern Hemispheres, which helps researchers analyze regional differences.
+ + - |-
+ + This data is based on the HadISST method. This method averages temperature measurements onto a fixed grid. If no data is available for a grid cell, it remains empty and adds extra uncertainty when calculating averages like the global mean.
+ + - Despite different approaches, HadISST and other methods show similar global temperature trends.
+ + display:
+ + numDecimalPlaces: 1
- - processing_level: minor
? ^^
+ + processing_level: major
? ^^
+ + description_processing: |-
+ + We switch from using 1961-1990 to using 1861-1890 as our baseline to better show how temperatures have changed since pre-industrial times. For each region, we calculate the mean temperature anomalies for 1961–1990 and for 1861–1890. The difference between these two means serves as the adjustment factor. This factor is applied uniformly to both the temperature anomalies and the confidence intervals to ensure that both the central values and the associated uncertainty bounds are correctly shifted relative to the new 1861–1890 baseline.
- - presentation:
- - topic_tags:
- - - Climate Change
~ Changed values: 6300 / 6300 (100.00%)
location date sea_temperature_anomaly - sea_temperature_anomaly +
Northern Hemisphere 1911-02-15 -0.60237 -0.419811
Northern Hemisphere 1957-11-15 0.13113 0.313689
Southern Hemisphere 1932-07-15 -0.22288 0.095088
World 1886-08-15 -0.38524 -0.116474
World 1894-04-15 -0.41793 -0.149164
~ Column sea_temperature_anomaly_high (changed metadata, changed data)
- - title: Monthly sea surface temperature anomaly (upper bound)
? ^
+ + title: Monthly sea surface temperature anomalies (upper bound)
? ^^^
- - description_short: Measured in degrees Celsius.
+ + description_short: |-
+ + The upper bound, defined as the 95% confidence interval for the annual sea surface temperature anomalies, represents the deviation of the average sea surface temperature measured at a nominal depth of 20 cm from the 1861–1890 mean, in degrees Celsius.
+ + description_from_producer: |-
+ + The 1961-90 period is most often used as a baseline because it is the period recommended by the World Meteorological Organisation. In some cases other periods are used. For global average temperatures, an 1861-1890 period is sometimes used to show the warming since the "pre-industrial" period.
+ + description_key:
+ + - |-
+ + The upper bound is the 95% confidence interval for the annual sea surface temperature anomalies. It represents the range of values within which the true value is expected to fall with 95% certainty.
+ + display:
+ + numDecimalPlaces: 1
- - processing_level: minor
? ^^
+ + processing_level: major
? ^^
+ + description_processing: |-
+ + We switch from using 1961-1990 to using 1861-1890 as our baseline to better show how temperatures have changed since pre-industrial times. For each region, we calculate the mean temperature anomalies for 1961–1990 and for 1861–1890. The difference between these two means serves as the adjustment factor. This factor is applied uniformly to both the temperature anomalies and the confidence intervals to ensure that both the central values and the associated uncertainty bounds are correctly shifted relative to the new 1861–1890 baseline.
- - presentation:
- - topic_tags:
- - - Climate Change
~ Changed values: 6300 / 6300 (100.00%)
location date sea_temperature_anomaly_high - sea_temperature_anomaly_high +
Northern Hemisphere 1911-02-15 -0.513 -0.330441
Northern Hemisphere 1957-11-15 0.21 0.392559
Southern Hemisphere 1932-07-15 -0.127 0.190968
World 1886-08-15 -0.3385 -0.069734
World 1894-04-15 -0.3605 -0.091734
~ Column sea_temperature_anomaly_low (changed metadata, changed data)
- - title: Monthly sea surface temperature anomaly (lower bound)
? ^
+ + title: Monthly sea surface temperature anomalies (lower bound)
? ^^^
- - description_short: Measured in degrees Celsius.
+ + description_short: |-
+ + The lower bound, defined as the 95% confidence interval for the annual sea surface temperature anomalies, represents the deviation of the average sea surface temperature measured at a nominal depth of 20 cm from the 1861–1890 mean, in degrees Celsius.
+ + description_from_producer: |-
+ + The 1961-90 period is most often used as a baseline because it is the period recommended by the World Meteorological Organisation. In some cases other periods are used. For global average temperatures, an 1861-1890 period is sometimes used to show the warming since the "pre-industrial" period.
+ + description_key:
+ + - |-
+ + The lower bound is the 95% confidence interval for the annual sea surface temperature anomalies. It represents the range of values within which the true value is expected to fall with 95% certainty.
+ + display:
+ + numDecimalPlaces: 1
- - processing_level: minor
? ^^
+ + processing_level: major
? ^^
+ + description_processing: |-
+ + We switch from using 1961-1990 to using 1861-1890 as our baseline to better show how temperatures have changed since pre-industrial times. For each region, we calculate the mean temperature anomalies for 1961–1990 and for 1861–1890. The difference between these two means serves as the adjustment factor. This factor is applied uniformly to both the temperature anomalies and the confidence intervals to ensure that both the central values and the associated uncertainty bounds are correctly shifted relative to the new 1861–1890 baseline.
- - presentation:
- - topic_tags:
- - - Climate Change
~ Changed values: 6300 / 6300 (100.00%)
location date sea_temperature_anomaly_low - sea_temperature_anomaly_low +
Northern Hemisphere 1911-02-15 -0.6735 -0.490941
Northern Hemisphere 1957-11-15 0.056 0.238559
Southern Hemisphere 1932-07-15 -0.3065 0.011468
World 1886-08-15 -0.438 -0.169234
World 1894-04-15 -0.4855 -0.216734
+ Dataset garden/climate/2025-01-21/sea_surface_temperature_annual
+ + Table sea_surface_temperature
+ + Column sea_temperature_anomaly
+ + Column sea_temperature_anomaly_low
+ + Column sea_temperature_anomaly_high
= Dataset garden/climate/2025-01-21/surface_temperature_analysis
= Table surface_temperature_analysis
~ Column temperature_anomaly (changed metadata, changed data)
- - title: 'Global warming: monthly temperature anomaly'
? ^
+ + title: 'Global warming: monthly temperature anomalies'
? ^^^
- - description_short: |-
- - Combined land-surface air and sea-surface water temperature anomaly, given as the deviation from the 1951-1980 mean, in degrees Celsius.
+ + description_short: The deviation of the average land-sea surface temperature from the 1880-1900 mean, in degrees Celsius.
+ + description_key:
+ + - Temperature anomalies show how many degrees Celsius temperatures have changed compared to the 1880-1900 period.
+ + - |-
+ + While 1861–1890 baseline period is commonly used to highlight the changes in temperature since pre-industrial times, here we use 1880–1900 instead, as monthly data on temperature anomalies in this dataset is only available from 1880.
+ + - Temperature averages and anomalies are calculated over all land and ocean surfaces.
+ + - |-
+ + The data includes separate measurements for the Northern and Southern Hemispheres, which helps researchers analyze regional differences.
+ + - |-
+ + This data is based on the GISS method which estimates temperatures in areas without data by using information from nearby locations within 1200 kilometers. This is especially useful in the Arctic and Antarctic, where measurements are sparse.
+ + - Despite different approaches, GISS and other methods show similar global temperature trends.
+ + display:
+ + numDecimalPlaces: 1
- - processing_level: minor
? ^^
+ + processing_level: major
? ^^
+ + description_processing: |-
+ + We switch from using 1951-1980 to using 1880-1900 as our baseline to better show how temperatures have changed since pre-industrial times. For each region, we calculate the mean temperature anomalies for 1961–1990 and for 1880-1900. The difference between these two means serves as the adjustment factor. This factor is applied uniformly to both the temperature anomalies and the confidence intervals to ensure that both the central values and the associated uncertainty bounds are correctly shifted relative to the new 1880-1900 baseline.
- - presentation:
- - topic_tags:
- - - Climate Change
~ Changed values: 5220 / 5220 (100.00%)
location date temperature_anomaly - temperature_anomaly +
Northern Hemisphere 1944-06-15 0.16 0.471794
Northern Hemisphere 2014-08-15 0.92 1.231794
World 1947-05-15 -0.02 0.203175
World 1954-05-15 -0.2 0.023175
World 1957-11-15 0.08 0.303175
= Dataset garden/met_office_hadley_centre/2025-01-21/near_surface_temperature
= Table near_surface_temperature
~ Dim region
+ + New values: 350 / 525 (66.67%)
year region
1856 Northern Hemisphere
1895 Northern Hemisphere
1902 Northern Hemisphere
1945 World
1971 World
- - Removed values: 350 / 525 (66.67%)
year region
1856 Global
1895 Global
1902 Global
1945 Northern hemisphere
1971 Northern hemisphere
~ Dim year
+ + New values: 350 / 525 (66.67%)
region year
Northern Hemisphere 1856
Northern Hemisphere 1895
Northern Hemisphere 1902
World 1945
World 1971
- - Removed values: 350 / 525 (66.67%)
region year
Global 1856
Global 1895
Global 1902
Northern hemisphere 1945
Northern hemisphere 1971
~ Column lower_limit (changed metadata, new data, changed data)
+ + - Temperature averages and anomalies are calculated over all land and ocean surfaces.
+ + - |-
+ + This data is based on the HadCRUT4 method. This method averages temperature measurements onto a fixed grid. If no data is available for a grid cell, it remains empty and adds extra uncertainty when calculating averages like the global mean.
+ + - Despite different approaches, HadCRUT4 and other methods show similar global temperature trends.
+ + New values: 350 / 525 (66.67%)
region year lower_limit
Northern Hemisphere 1856 -0.15714
Northern Hemisphere 1895 -0.227484
Northern Hemisphere 1902 -0.232325
World 1945 0.205015
World 1971 0.117826
- - Removed values: 350 / 525 (66.67%)
region year lower_limit
Global 1856 -0.105795
Global 1895 -0.219723
Global 1902 -0.21101
Northern hemisphere 1945 0.304559
Northern hemisphere 1971 0.12221
~ Column temperature_anomaly (changed metadata, new data, changed data)
- - description_short: Global average land-sea temperature anomaly relative to the 1861-1890 average temperature baseline.
+ + description_short: The deviation of a specific year's average land-sea surface temperature from the 1861-1890 mean, in degrees
+ + Celsius.
+ + - Temperature averages and anomalies are calculated over all land and ocean surfaces.
+ + - |-
+ + This data is based on the HadCRUT4 method. This method averages temperature measurements onto a fixed grid. If no data is available for a grid cell, it remains empty and adds extra uncertainty when calculating averages like the global mean.
+ + - Despite different approaches, HadCRUT4 and other methods show similar global temperature trends.
+ + New values: 350 / 525 (66.67%)
region year temperature_anomaly
Northern Hemisphere 1856 0.047288
Northern Hemisphere 1895 -0.064291
Northern Hemisphere 1902 -0.079038
World 1945 0.405386
World 1971 0.156409
- - Removed values: 350 / 525 (66.67%)
region year temperature_anomaly
Global 1856 0.041944
Global 1895 -0.086454
Global 1902 -0.076659
Northern hemisphere 1945 0.464364
Northern hemisphere 1971 0.151866
~ Column upper_limit (changed metadata, new data, changed data)
+ + - Temperature averages and anomalies are calculated over all land and ocean surfaces.
+ + - |-
+ + This data is based on the HadCRUT4 method. This method averages temperature measurements onto a fixed grid. If no data is available for a grid cell, it remains empty and adds extra uncertainty when calculating averages like the global mean.
+ + - Despite different approaches, HadCRUT4 and other methods show similar global temperature trends.
+ + New values: 350 / 525 (66.67%)
region year upper_limit
Northern Hemisphere 1856 0.251717
Northern Hemisphere 1895 0.098901
Northern Hemisphere 1902 0.074249
World 1945 0.605757
World 1971 0.194992
- - Removed values: 350 / 525 (66.67%)
region year upper_limit
Global 1856 0.189684
Global 1895 0.046815
Global 1902 0.057693
Northern hemisphere 1945 0.624169
Northern hemisphere 1971 0.181523
Legend: +New ~Modified -Removed =Identical Details
Hint: Run this locally with etl diff REMOTE data/ --include yourdataset --verbose --snippetAutomatically updated datasets matching weekly_wildfires|excess_mortality|covid|fluid|flunet|country_profile|garden/ihme_gbd/2019/gbd_risk are not included Edited: 2025-02-27 11:00:49 UTC |
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pabloarosado
approved these changes
Feb 28, 2025
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Hi @veronikasamborska1994 thanks for doing this harmonization! I had a look and left some minor suggestions. I think some of the baselines may not be totally clear (or at least in the comments). I can have a deeper look later, or please let me know if I misunderstood something.
| @@ -0,0 +1,42 @@ | |||
| """Load a meadow dataset and create a garden dataset.""" | |||
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Instead of creating a new dataset, I think it would be more convenient to create a new table inside the already existing sea_surface_temperature step. Then, in the climate_change_impacts step, instead of loading the two datasets sea_surface_temperature and sea_surface_temperature_annual, you could just load the former, an read the two tables. Does that make sense?
| topic_tags: | ||
| - Climate Change | ||
| description_short: |- | ||
| The deviation of the average land-sea surface temperature from the 1880-1900 mean, in degrees Celsius. |
There was a problem hiding this comment.
I think we can omit the "The" at the beginning of subtitles.
| The deviation of the average land-sea surface temperature from the 1880-1900 mean, in degrees Celsius. | ||
| description_key: | ||
| - Temperature anomalies show how many degrees Celsius temperatures have changed compared to the 1880-1900 period. | ||
| - While 1861–1890 baseline period is commonly used to highlight the changes in temperature since pre-industrial times, here we use 1880–1900 instead, as monthly data on temperature anomalies in this dataset is only available from 1880. |
There was a problem hiding this comment.
"While a 1861-1890 baseline period..."
| - This data is based on the GISS method which estimates temperatures in areas without data by using information from nearby locations within 1200 kilometers. This is especially useful in the Arctic and Antarctic, where measurements are sparse. | ||
| - Despite different approaches, GISS and other methods show similar global temperature trends. | ||
| description_processing: |- | ||
| We switch from using 1951-1980 to using 1880-1900 as our baseline to better show how temperatures have changed since pre-industrial times. For each region, we calculate the mean temperature anomalies for 1961–1990 and for 1880-1900. The difference between these two means serves as the adjustment factor. This factor is applied uniformly to both the temperature anomalies and the confidence intervals to ensure that both the central values and the associated uncertainty bounds are correctly shifted relative to the new 1880-1900 baseline. |
There was a problem hiding this comment.
I find this explanation a bit confusing: the original data used 1951-1980 as baseline, but to compute the adjustment factors you refer to the average of 1961-1990 (I haven't looked at the code yet, maybe it becomes clearer later).
| description_processing: |- | ||
| We switch from using 1951-1980 to using 1880-1900 as our baseline to better show how temperatures have changed since pre-industrial times. For each region, we calculate the mean temperature anomalies for 1961–1990 and for 1880-1900. The difference between these two means serves as the adjustment factor. This factor is applied uniformly to both the temperature anomalies and the confidence intervals to ensure that both the central values and the associated uncertainty bounds are correctly shifted relative to the new 1880-1900 baseline. | ||
| processing_level: major | ||
| unit: °C |
There was a problem hiding this comment.
I think in other charts we usually use "degrees Celsius" as unit, and "ºC" as short unit.
| # Switch from using 1951-198 0 to using 1861-1890 as our baseline to better show how temperatures have changed since pre-industrial times. | ||
| # Calculate the adjustment factors based only on temperature_anomaly | ||
| adjustment_factors = ( | ||
| tb[tb["year"].between(1951, 1980)].groupby("location")["temperature_anomaly"].mean() |
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Shouldn't it be 1961-1990?
| - tb[tb["year"].between(1880, 1900)].groupby("location")["temperature_anomaly"].mean() | ||
| ) | ||
| # Apply the temperature_anomaly adjustment factor | ||
| # The adjustment factor is applied uniformly to the temperature anomalies and their confidence intervals to ensure that both the central values and the associated uncertainty bounds are correctly shifted relative to the new 1861–1890 baseline. |
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Again, just for clarity, mention that the new baseline starts in 1880.
| @@ -27,7 +30,7 @@ tables: | |||
| title: Global average temperature anomaly relative to 1861-1890 | |||
| short_unit: °C | |||
| unit: degrees Celsius | |||
| description_short: Global average land-sea temperature anomaly relative to the 1861-1890 average temperature baseline. | |||
| description_short: The deviation of a specific year's average land-sea surface temperature from the 1861-1890 mean, in degrees Celsius. | |||
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I'd remove the "The ".
| description_processing: |- | ||
| Annual sea surface anomalies were calculated by averaging the monthly anomalies in a given year. | ||
|
|
||
| We switch from using 1961-1990 to using 1861-1890 as our baseline to better show how temperatures have changed since pre-industrial times. For each region, we calculate the mean temperature anomalies for 1961–1990 and for 1861–1890. The difference between these two means serves as the adjustment factor. This factor is applied uniformly to both the temperature anomalies and the confidence intervals to ensure that both the central values and the associated uncertainty bounds are correctly shifted relative to the new 1861–1890 baseline. |
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We usually start description processing as bullet points (to clarify, it should be a string where each paragraph starts with "-").
|
|
||
| We switch from using 1961-1990 to using 1861-1890 as our baseline to better show how temperatures have changed since pre-industrial times. For each region, we calculate the mean temperature anomalies for 1961–1990 and for 1861–1890. The difference between these two means serves as the adjustment factor. This factor is applied uniformly to both the temperature anomalies and the confidence intervals to ensure that both the central values and the associated uncertainty bounds are correctly shifted relative to the new 1861–1890 baseline. | ||
| processing_level: major | ||
| unit: °C |
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I think we usually use "degrees Celsius" for unit.
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hey @pabloarosado! take a look at the changes I've made trying to improve the metadata and FASST and harmonize them across different charts we have. Also, it looks like we can get rid of this old dataset and compute annual averages ourselves based on the data that you update every couple of months to keep this chart up to date. I've added the relevant code for this on this PR too.