Climate data guide content with tag weather station
Antarctic Seasonal Pressure Reconstructions 1905-2013
Years of record
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This dataset consists of seasonally resolved timeseries of surface pressure at 18 Antarctic research stations, spanning 1905-2013. Routine meteorological observations began at most of these stations only around 1960, leaving a very short instrumental record on which to assess Antarctic climate variability and change. Surface pressure is one of the most…
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Formats
- ascii, Spreadsheet
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Timestep
- Seasonal
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Domain
- Antarctic
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Collections
- N/A
Experts contributing reviews
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CHIRPS: Climate Hazards InfraRed Precipitation with Station data (version 2)
Years of record
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Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) is a quasi-global (50S - 50N), land-only rainfall dataset with a range of temporal and spatial resolutions depending on the region and the time period. Data can be found at 0.05 deg or 0.1 deg resolution, and can be found at 6-hourly to seasonal time scales. These resolutions are regionally dependent…
Experts contributing reviews
- Touma, Danielle, Martinez, Carlos
CPC Unified Gauge-Based Analysis of Global Daily Precipitation
Years of record
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A gauge-based analysis of daily precipitation has been constructed over the global land areas. Gauge reports from over 30,000 stations are collected from multiple sources including GTS, COOP, and other national and international agencies. Quality control is performed through comparisons with historical records and independent information from measurements at nearby…
Experts contributing reviews
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GHCN-D: Global Historical climatology Network daily temperatures
Years of record
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The Global Historical Climatology Network Daily database, GHCN-D, contains meteorological measurements from over 90,000 stations across the globe. The majority of station records contain precipitation data only, however other key variables including maximum temperature, minimum temperature, snowfall, cloudiness, wind speed and snow depth are available at many…
Main variables and Earth System components
Atmosphere Maximum Air Temperature Minimum Air Temperature PrecipitationExperts contributing reviews
- McKinnon, Karen
Global surface temperature data: The Dynamically Consistent ENsemble of Temperature (DCENT)
Years of record
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The Dynamically Consistent ENsemble of Temperature (DCENT) provides monthly, global, gridded, surface temperature anomalies since 1850. This product provides combined land surface air temperature (LSAT) and sea surface temperature (SST) anomalies at monthly 5° x 5° resolution. An important feature of DCENT is that both land and ocean measurements are used when bias-…
Main variables and Earth System components
Atmosphere Air Temperature at 2m Ocean SST - sea surface temperatureExperts contributing reviews
- N/A
Global surface temperature: Maximum Likelihood Estimates of Temperatures using HadCRUT5 (Version 1.2)
Years of record
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The Maximum Likelihood Estimates of Temperatures using HadCRUT5 Version 1.2 (HadCRU_MLE_v1.2) dataset provides global complete surface temperature estimates since 1850, with monthly 5°x5° resolution. It uses more sophisticated statistical models to fill data gaps in the non-infilled version of HadCRUT5. The statistical models used in HadCRU_MLE_v1.2 better…
Main variables and Earth System components
Atmosphere Air Temperature at 2m Ocean SST - sea surface temperatureExperts contributing reviews
- Chan, Duo
HadISD: Sub-daily, non-interpolated weather station data
Years of record
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HadISD ("Hadley Centre Integrated Surface Database") is a compendium of subdaily weather-station data developed by the UK Met Office that is based on NOAA NCEI's Integrated Surface Database but with various quality-control checks implemented to remove stations with excessive and obvious typographical or instrumental errors, as well as individual occurrences of these…
Main variables and Earth System components
Atmosphere Air Temperature at 2m Dew Point Temperature Precipitation Sea Level Pressure Storm data WindExperts contributing reviews
- Raymond, Colin