You are here

Home » Climate Data

Climate Data Sets

The search terms match 214 results.
Advanced Search Options
variables within Atmosphere, Ocean, Land, etc.
Climate Data Guide Image: QBO
QBO: Quasi-Biennial Oscillation
Years of Record: 1953/01 to 2012/09
The quasi-biennial oscillation (QBO) is a quasi-periodic oscillation of the equatorial zonal wind between easterlies and westerlies in the tropical stratosphere with a mean period of 28 to 29 months. The alternating wind regimes develop at the top of the lower stratosphere and propagate downwards...
Main variables and Earth System components:
Formats: ascii Timestep: Monthly Domain: Tropics
Share your knowledge about this data set and improve the Guide!
Climate Data Guide QuikSCAT image1
QuikSCAT: near sea-surface wind speed and direction
Years of Record: 1999/08 to 2009/10
The QuikSCAT mission was intended to obtain sea-surface wind speed and direction data under all weather and cloud conditions over Earth's oceans. SeaWinds, an active radar scatterometer, is the main instrument on the QuikSCAT satellite. The microwave backscatter measured by SeaWinds is dependent on...
Main variables and Earth System components:
Formats: netCDF | binary Timestep: Daily,Monthly,Weekly Domain: Global Collections: Obs4MIPS
See Expert Guidance by Ricciardulli, Lucrezia
Radiative kernels from climate models
The radiative kernel technique is a method used to quantify radiative feedbacks in response to global warming.  Radiative kernels are commonly calculated for the water vapor, lapse rate, temperature and albedo feedbacks.  Radiative kernels are used to deconstruct the various contributions...
Formats: netCDF Timestep: Climatology Domain: Global
See Expert Guidance by Pendergrass, Angeline
Randolph Glacier Inventory data base of global glacier outlines
The Randolph Glacier Inventory (RGI) is a global data base of glacier outlines. It is intended for estimates of ice volume and glacier mass at regional and global scales. The data are organized into 19 large regions, with a shapefile provided for each region. The RGI is produced as part of the...
Main variables and Earth System components:
Formats: shapefile Timestep: Climatology Domain: Global
Share your knowledge about this data set and improve the Guide!
RAPID: monitoring the Atlantic Meridional Overturning Circulation at 26.5°N
Years of Record: 2004/04 to 2017/02
"The Rapid Climate Change programme (RAPID) explores what causes rapid switches in climate, with a main (but not exclusive) focus on the Atlantic Ocean's thermohaline circulation." "A principal objective of the RAPID programme is the development and maintenance of a pre-operational prototype...
Main variables and Earth System components:
Formats: netCDF | ascii Timestep: Sub-daily Domain: Atlantic Ocean Collections: Diagnostic Data Sets
Share your knowledge about this data set and improve the Guide!
SCRIPPS O2 ,CO2 and APO
Years of Record: 1989/01 to 2012/12
"The Scripps O2Program measures changes in atmospheric oxygen levels from air samples collected at stations around the world. This sampling network provides a global and hemispheric perspective on oxygen variability. " Stations include: Alert, NWT, Canada Cold Bay, Alaska Cape Kumukahi, Hawaii...
Main variables and Earth System components:
Formats: ascii Timestep: Daily,Monthly Collections: Carbon cycle
Share your knowledge about this data set and improve the Guide!
Sea Ice Concentration data from AMSR-E, AMSR2 & SSMIS, U Bremen and U Hamburg ASI algorithm
Years of Record: 2002/06 to 2011/10
The sea ice data derived from AMSR-E using the ARTIST sea ice (ASI) algorithm offer a factor of 4 finer spatial resolution than most sea ice data sets from passive microwave satellite instruments. ASI is based on the difference of vertically and horizontally polarized brightness temperatures at 89...
Main variables and Earth System components:
Formats: netCDF | HDF | GeoTIFF Timestep: Daily Domain: NH - Northern Hemisphere, SH - Southern Hemisphere, Antarctic, Arctic
Share your knowledge about this data set and improve the Guide!
Climate Data Guide Image: HADISST ice concentrations
Sea Ice Concentration data from HadISST
Years of Record: 1869/12 to 2020/12
Spanning 1871-present at monthly timesteps, HadISST provides the longest gridded sea ice data available for both the Arctic and Antarctic. It is a 1° x 1° spatially infilled data set that is It is intended as a consistent analyses for input into SST analyses or as boundary conditions for models....
Main variables and Earth System components:
Formats: netCDF | ascii Timestep: Monthly Domain: Antarctic, Arctic, NH - Northern Hemisphere, SH - Southern Hemisphere Collections: Boundary Conditions
Share your knowledge about this data set and improve the Guide!
Climate Data Guide Image: Sea Ice Concentration data; Goddard Bootstrap
Sea Ice Concentration data from NASA Goddard and NSIDC based on Bootstrap algorithm
Years of Record: 1978/10 to 2014/12
Bootstrap sea ice refers to a well-known algorithm used to estimate sea ice concentration from passive microwave brightness temperatures. It can be applied to data from many satellite instruments, such as SMMR, SSMI, and AMSR-E. This page discusses the algorithm itself and the long-term data set ("...
Main variables and Earth System components:
Formats: netCDF | binary Timestep: Daily,Monthly Domain: Antarctic, Arctic, NH - Northern Hemisphere, SH - Southern Hemisphere
Share your knowledge about this data set and improve the Guide!
Artic sea ice: NASA Team
Sea Ice Concentration data from NASA Goddard and NSIDC based on NASA Team algorithm
Years of Record: 1978/10 to 2014/12
NASA Team sea ice refers to a well-known algorithm used to estimate sea ice concentration from passive microwave brightness temperatures. This page discusses the algorithm itself and the long-term data set ("NSIDC 0051") produced by scientists at NASA Goddard and distributed by NSIDC. The NASA Team...
Main variables and Earth System components:
Formats: netCDF | binary Timestep: Daily,Monthly Domain: Antarctic, Arctic, NH - Northern Hemisphere, SH - Southern Hemisphere Collections: Diagnostic Data Sets, NCAR-DOE-CESM, seaicediagnostics
Share your knowledge about this data set and improve the Guide!
Artic sea ice: AMSR-E / NT2
Sea Ice Concentration data from NASA Goddard and NSIDC using AMSR-E and NASA TEAM2 (NT2) algorithm
Years of Record: 2002/06 to 2011/10
The AMSR-E/NASA Team 2 (NT2) data set of Arctic and Antarctic sea ice concentration is available at daily timesteps and 12.5 km (optionally 25km) spatial resolution for 2002-2011. NT2, an extension of the original NASA Team algorithm, uses AMSR-E 89GHz channels to help resolve ambiguity between low...
Main variables and Earth System components:
Formats: HDF-EOS Timestep: Daily Domain: Antarctic, Arctic
Share your knowledge about this data set and improve the Guide!
Arctic sea ice: SSMI / NT2
Sea ice concentration data from NASA Goddard based on SSMI and NASA Team (NT2) algorithm
Years of Record: 1992/01 to 2008/04
The NASA Team 2 (NT2) / SSMI data set of Arctic and Antarctic sea ice concentration is available at daily timesteps and 25km spatial resolution for 1992-2008. NT2, an extension of the original NASA Team algorithm, uses SSMI 85GHz channels to help resolve ambiguity between low ice concentrations and...
Main variables and Earth System components:
Formats: binary Timestep: Daily Domain: Antarctic, Arctic
Share your knowledge about this data set and improve the Guide!
Arctic sea ice: NOAA OI
Sea Ice Concentration data from NOAA OI
Years of Record: 1981/10 to 2021/03
The NOAA Optimal Interpolation (OI) v2 sea ice data set contains gridded, weekly or monthly resolution sea ice concentration estimates for both the Northern and Southern Hemispheres. It is intended as a consistent analyses for input into SST analyses (and is the basis for calculating SSTs in sea...
Main variables and Earth System components:
Formats: netCDF Timestep: Monthly,Weekly Domain: Antarctic, Arctic, NH - Northern Hemisphere, SH - Southern Hemisphere Collections: Boundary Conditions
Share your knowledge about this data set and improve the Guide!
Artic sea ice: Eumetsat reprocessed.
Sea Ice Concentration data reprocessed from SSMR & SSMI, by Eumetsat
Years of Record: 1978/10 to 2009/10
The Eumetsat Ocean and Sea Ice Satellite Applications Facility provides a "reprocessed" data set of Arctic and Antarctic sea ice concentration for 1978-2009. Source data are the SMMR and SSM/I passive microwave brightness temperatures. Three algorithms are utilized: the Technical University of...
Main variables and Earth System components:
Formats: netCDF Timestep: Daily Domain: NH - Northern Hemisphere, SH - Southern Hemisphere, Antarctic, Arctic
Share your knowledge about this data set and improve the Guide!
Arctic sea ice climatologies for September
Sea Ice Concentration data: Overview, Comparison table and graphs
Sea ice concentration is both an indicator and driver of high-latitude climate change with strong societal and ecological importance. It is a key boundary condition for atmospheric models (including those used in atmospheric reanalyses) and a benchmark for coupled climate models. As such, numerous...
Main variables and Earth System components:
Domain: Antarctic, Arctic Collections: Overview / Comparison page
Share your knowledge about this data set and improve the Guide!
Arctic sea ice: Climate Data Record
Sea Ice Concentration: NOAA/NSIDC Climate Data Record
Years of Record: 1978/11 to 2019/12
The NOAA/NSIDC Climate Data Record (CDR) of sea ice concentration is available at 25 x 25 km spatial resolution in daily or monthly timesteps for 1987-2014. It provides a consistent interpretation of sea ice for the satellite record, with the intent of being suitable for studies of climate...
Main variables and Earth System components:
Formats: netCDF Timestep: Daily,Monthly Domain: Antarctic, Arctic, NH - Northern Hemisphere, SH - Southern Hemisphere Collections: Climate Data Record
See Expert Guidance by Meier, Walter
Arctic sea ice volume anomalies from PIOMASS
Sea Ice Thickness Data Sets: Overview & Comparison Table
While satellite observations of sea ice extent and concentration are available from 1979, long-term high quality (daily and high spatial resolution) observations of sea ice thickness remain limited as a result of few satellite and in situ observations. Reconstructions using numerous observational...
Main variables and Earth System components:
Formats: netCDF | ascii | binary Timestep: Daily,Monthly,Weekly,Irregular Domain: Antarctic, Arctic Collections: Overview / Comparison page
See Expert Guidance by Labe, Zachary
SeaWIFS: ocean bio-optical and carbon properties
Years of Record: 2002/01 to 2013/08
The purpose of the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) Project is to provide quantitative data on global ocean bio-optical properties and to assess the oceans' role in the global carbon cycle. SeaWiFS data are being used to help clarify the magnitude and variability of chlorophyll and...
Main variables and Earth System components:
Formats: HDF Timestep: Climatology,Daily,Monthly,Seasonal,Annual Domain: Global Collections: Carbon cycle
Share your knowledge about this data set and improve the Guide!
SEVIRI: Cloud Mask Dataset: Very High Resolution
Years of Record: 2004/01 to 2012/12
The SEVIRI cloud mask dataset has been generated and released by the EUMETSAT Satellite Application Facility on Climate Monitoring (CM SAF) to enhance the cloud property dataset CLAAS. The SEVIRI cloud mask dataset contains the cloud mask in 15 minutes temporal resolution. The dataset is pixel...
Main variables and Earth System components:
Formats: netCDF | HDF Timestep: Sub-daily,Daily,Monthly Domain: Africa, Atlantic Ocean, Europe Collections: Climate Data Record
Share your knowledge about this data set and improve the Guide!
Simplistic Overview of Reanalysis Data Assimilation Methods
Data assimilation is the process of combining observations from a wide variety of sources and forecast output from a weather prediction model. The resulting analysis is considered to be the 'best' estimate of the state of the atmosphere at a particular instant in time. The process of combining the...
Main variables and Earth System components:
Share your knowledge about this data set and improve the Guide!
NH Snow Cover Extent, contributed by D. Robinson
Snow Cover Extent (Northern Hemisphere) Climate Data Record, by Rutgers
Years of Record: 1966/10 to 2020/10
The Snow Cover Extent Climate Data Record extends from the late 1960s to present. Historical analyses based on visual inspection have been digitized and combined with modern multi-spectral remote sensing to produce a seamless record on a hemispheric scale. The data are available at weekly and...
Main variables and Earth System components:
Formats: netCDF | ascii Timestep: Monthly,Weekly Domain: North America Collections: Climate Data Record, Diagnostic Data Sets, NCAR-DOE-CESM, landdiagnostics
See Expert Guidance by Estilow, Thomas W. | See Expert Guidance by Robinson, David
Snow Water Equivalent (AMSR-E)
Years of Record: 2002/06 to 2011/10
The Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E) distributes daily, weekly, and monthly products which includes snow water equivalent. Note: "On 04 October 2011, the AMSR-E instrument on board the Aqua satellite stopped producing data due to a problem with the rotation of...
Main variables and Earth System components:
Formats: HDF-EOS Timestep: Daily,Monthly,Weekly Domain: NH - Northern Hemisphere
Share your knowledge about this data set and improve the Guide!
SOCAT: Surface Ocean CO2 Atlas
Years of Record: 1970/01 to 2007/12
SOCAT (Surface Ocean CO2 Atlas)  represents an effort to "provide a comprehensive, publicly available, regularly updated, global data set of marine surface CO2, which had been subject to quality control (QC)." The data sets are comprised of observations (ship track) and gridded data.
Main variables and Earth System components:
Formats: netCDF Timestep: Climatology,Monthly,Annual Domain: Global Collections: Carbon cycle
Share your knowledge about this data set and improve the Guide!
SODA: Simple Ocean Data Assimilation
Years of Record: 1869/12 to 2010/12
The Simple Ocean Data Assimilation, or SODA, analysis is an ocean reanalysis data set consisting of gridded variables for the global ocean, as well as several derived fields. The goal is to provide an improved estimate of ocean state from those based solely on observations or numerical simulations.
Formats: netCDF Timestep: Monthly Domain: Global
Share your knowledge about this data set and improve the Guide!
Map of root zone soil moisture for May 2016 based on the SMOS product (credit: ESA)
Soil Moisture Data Sets: Overview & Comparison Tables
Years of Record: 2019/09
Soil moisture is a state variable of the land that crosses the interfaces of several disciplines, including meteorology, hydrology, climatology and ecology. Soil moisture content controls the partitioning of net radiation at the land surface between sensible and latent heat fluxes. This occurs...
Main variables and Earth System components:
See Expert Guidance by Dirmeyer, Paul
Annual mean 850hPa westerly wind component (contributed by T Bracegirdle)
Southern Hemisphere westerly jet strength and position
Years of Record: 1979/12 to 2016/12
The dynamics of the Southern Hemisphere westerly jet are described in terms of two indices, jet strength and jet latitude.  Here, these indices are defined using the ERA-Interim reanalysis, although other datasets, including climate models, could be used.  Although closely linked with the...
Main variables and Earth System components:
Formats: ascii Timestep: Seasonal,Annual Domain: Antarctic, SH - Southern Hemisphere, Southern Ocean
See Expert Guidance by Bracegirdle, Thomas J.
Streamfunction map (contributed by M. Mazloff)
Southern Ocean State Estimate (SOSE)
Years of Record: 2005/01 to 2010/12
The Southern Ocean State Estimate (SOSE) is a model-generated best fit to Southern Ocean observations.  As such, it provides a quantitatively useful climatology of the mean-state of the Southern Ocean.  Technically, SOSE is a solution to the MITgcm.  SOSE is a gridded dataset at 1/6...
Formats: binary Timestep: Daily,Monthly,Weekly,Annual Domain: Antarctic, SH - Southern Hemisphere, Southern Ocean
See Expert Guidance by Mazloff, Matthew
Southern Oscillation Indices: Signal, Noise and Tahiti/Darwin SLP (SOI)
Years of Record: 1865/12 to 2020/01
The Southern Oscillation Index (SOI) is a time series used to characterize the large scale sea level pressure (SLP) patterns in the tropical Pacific. Monthly mean SLP at Tahiti [T] and Darwin [D] are used. An optimal SOI can be constructed. It consists of  [T-D] which is a measure of the large...
Main variables and Earth System components:
Formats: netCDF | ascii Timestep: Monthly Domain: Australia, Pacific Ocean, Tropics
See Expert Guidance by Trenberth, Kevin
SSM/I, SSMIS: Special Sensor Microwave/Imager and Sounder
Years of Record: 1987/07 to 2015/06
The SSM/I and SSMIS satellites are operated by the Defense Meteorological Satellite Program (DMSP) and are part of NASA's Pathfinder Program. The instrumentation has been flown on a number of satellites: F-8 (1987), F-10 (November 1990), F-11 (December 1991), F-12 (August 1994), F-13 (March 1995),...
Main variables and Earth System components:
Formats: binary Timestep: Daily,Monthly,Weekly Domain: Global
Share your knowledge about this data set and improve the Guide!
Climate Data Guide Image: SSMI (v7) monthly mean rain rate for July, 2012.
SSMI Version 7: Ocean Product Suite
The Ocean Product Suite (v7) from Remote Sensing Systems (RSS) is available in netCDF (v4) format. The RSS Ocean Product Suite includes numerous data products for the SSMI/SSMIS instruments on the DMSP F08, F10, F11, F13, F14, F15, F17 polar orbiting satellites. These are part of the NASA Making...
Main variables and Earth System components:
Formats: netCDF Timestep: Sub-daily,Daily,Monthly Domain: Global
Share your knowledge about this data set and improve the Guide!
SST Data Sets: Overview & Comparison Table
Years of Record: 1849/12 to 2014/04
Sea surface temperature (SST) data sets are an essential resource for monitoring and understanding climate variability and climate change.  By surface area, SSTs are the dominant (~71%) input into merged global land-ocean surface temperature data products.   Historically, SST measurments...
Main variables and Earth System components:
Timestep: Climatology,Daily,Monthly,Weekly Domain: Global Collections: Overview / Comparison page
Share your knowledge about this data set and improve the Guide!
Climate Data Guide Image: AMSR-E: Standard error of 'tos' (SST) for July 2006.
SST (AMSR-E): Sea Surface Temperature from Remote Sensing Systems
Years of Record: 2002/06 to 2010/12
High resolution (0.25°) SSTs were derived from the AMSR-E, a passive microwave radiometer flying on NASA's AQUA satellite. Remote Sensing Systems distributes the data in high spatial and temporal (daily, weekly, monthly) resolutions for both daytime and nighttime averages. Monthly versions are...
Main variables and Earth System components:
Formats: netCDF | binary Timestep: Daily,Monthly,Weekly Domain: Global Collections: Obs4MIPS
Share your knowledge about this data set and improve the Guide!
Climate Data Guide Image: SST data: AVHRR Pathfinder v5.2, NOAA NODC
SST data: AVHRR Pathfinder v5.2, NOAA NODC
Years of Record: 1981/01 to 2011/12
"The AVHRR Pathfinder Version 5.2 (PFV52) data set was computed using an entirely modernized system, based on SeaDAS and incorporating several key changes over the older Pathfinder V5.0 and V5.1 datasets. PFV52 is viewed as a significant step forward in preparation for the future Version 6 (PFV6)...
Main variables and Earth System components:
Formats: netCDF Timestep: Sub-daily Domain: Global
Share your knowledge about this data set and improve the Guide!
SST data: COBE: Centennial in situ Observation-Based Estimates
Years of Record: 1891/01 to 2020/03
The COBE data set is a spatially complete, interpolated 1°x1° SST product for 1891 to present. It combines SSTs from ICOADS release 2.0, the Japanese Kobe collection, and reports from ships and buoys. Data are gridded using optimal interpolation. As in HadISST, data up to 1941 were bias-adjusted...
Main variables and Earth System components:
Formats: GRIB Timestep: Monthly Domain: Global Collections: Diagnostic Data Sets, NCAR-DOE-CESM, climatevariabilitydiagnostics(CVDP)
Share your knowledge about this data set and improve the Guide!
Climate Data Guide Image: HadISST v1.1 SST anomalies and sea ice concentration (August 2012).
SST data: HadiSST v1.1
Years of Record: 1869/12 to 2020/12
The Hadley Centre Global Sea Ice and Sea Surface Temperature (HadISST) is a combination of monthly globally complete fields of SST and sea ice concentration for 1871-present. This page focuses on the SST data; see the separate page for discussion of HadISST sea ice. HadISST uses reduced space...
Main variables and Earth System components:
Formats: netCDF | ascii Timestep: Monthly Domain: Global Collections: Boundary Conditions, Diagnostic Data Sets, NCAR-DOE-CESM, climatevariabilitydiagnostics(CVDP)
Share your knowledge about this data set and improve the Guide!
Climate Data Guide Image: HadSST3 (Kennedy et al (2011b)
SST data: HadSST3
Years of Record: 1849/12 to 2017/12
HadSST3 provides monthly SST anomalies on a 5°x5° grid for 1850-present. The anomalies are derived from a 30-year climatology spanning 1961-90.Coverage is global but there is no interpolation; Thus, missing data occur in the final product. The primary input data are from ICOADS release 2.5. Bias...
Main variables and Earth System components:
Formats: netCDF | ascii Timestep: Monthly Domain: Global Collections: Diagnostic Data Sets, NCAR-DOE-CESM, climatevariabilitydiagnostics(CVDP)
See Expert Guidance by Kennedy, John
annual trends in HadSST4 (created with NCAR Climate Variability Diagnostics Package)
SST data: HadSST4
Years of Record: 1849/12 to 2018/12
HadSST4 provides monthly SST anomalies on a 5°x5° grid for 1850-present. The anomalies are derived from a 30-year climatology spanning 1961-90. Coverage is global but there is no interpolation; Thus, missing data occur in the final product. This means that uncertainties due to limited spatial...
Main variables and Earth System components:
Formats: netCDF Timestep: Monthly Domain: Global Collections: Diagnostic Data Sets
See Expert Guidance by Kennedy, John
SST Data: NOAA Extended Reconstruction SSTs Version 5 (ERSSTv5)
Years of Record: 1853/12 to 2019/08
The NOAA Extended Reconstruction Sea Surface Temperature (ERSST) provides global, spatially complete SST data at a monthly timestep for 1854-present. Version5 is based upon statistical interpolation of the ICOADS release 3.0 data. Argo float data are used in the recent years (since ~2000). The data...
Main variables and Earth System components:
Formats: netCDF | ascii Timestep: Climatology,Monthly Domain: Global Collections: Diagnostic Data Sets
See Expert Guidance by Hausfather, Zeke
SST data: NOAA Extended Reconstruction SSTs, version 3 (ERSSTv3 & 3b)
Years of Record: 1853/12 to 2020/02
The NOAA Extended Reconstruction Sea Surface Temperature (ERSST) provides global, spatially complete SST data at a monthly timestep for 1854-present. Version3 is based upon statistical interpolation of the ICOADS release 2.4 data. Version 3 includes satellite AVHRR SST data for 1985 onwards....
Main variables and Earth System components:
Formats: netCDF | ascii Timestep: Monthly Domain: Global Collections: Diagnostic Data Sets, NCAR-DOE-CESM, climatevariabilitydiagnostics(CVDP)
See Expert Guidance by Huang, Boyin | See Expert Guidance by Livermore, Jay | See Expert Guidance by Smith, Tom
ERSST v4 timeseries (contributed by B Huang)
SST data: NOAA Extended Reconstruction SSTs, Version 4
Years of Record: 1981/10 to 2021/03
The NOAA Extended Reconstruction Sea Surface Temperature (ERSST) provides global, spatially complete SST data at a monthly timestep for 1854-present.  Compared to the previous version, Version 4 uses the more extensive ICOADS Release 2.5 data and revised quality control, bias adjustment, and...
Main variables and Earth System components:
Formats: netCDF | ascii Timestep: Monthly Domain: Global
See Expert Guidance by Huang, Boyin
SST data: NOAA High-resolution (0.25x0.25) Blended Analysis of Daily SST and Ice, OISSTv2
Years of Record: 1981/09 to 2021/03
"NOAA’s Optimum Interpolation Sea Surface temperature (OISST, also known as Reynolds’ SST) is a series of global analysis products, including the weekly OISST on a 1° grid to the more recent daily on a ¼° grid. An SST analysis is a spatially gridded product created by interpolating and...
Main variables and Earth System components:
Formats: netCDF | binary Timestep: Daily Domain: Global Collections: Obs4MIPS
See Expert Guidance by Banzon, Viva | See Expert Guidance by Reynolds, Richard
Climate Data Guide Image: NOAA OI SST: SST range (C)
SST data: NOAA Optimal Interpolation (OI) SST Analysis, version 2 (OISSTv2) 1x1
Years of Record: 1981/12 to 2020/03
The NOAA Optimal Interpolation SST analysis provides global, spatially complete SSTs on a weekly and monthly basis for 1982-present.
Main variables and Earth System components:
Formats: netCDF | ascii | binary Timestep: Climatology,Monthly,Weekly Domain: Global
See Expert Guidance by Banzon, Viva | See Expert Guidance by Reynolds, Richard
Standardized Precipitation Evapotranspiration Index (SPEI)
Years of Record: 1901/01 to 2014/03
The Standardized Precipitation Evapotranspiration Index (SPEI) is an extension of the widely used Standardized Precipitation Index (SPI). The SPEI is designed to take into account both precipitation and potential evapotranspiration (PET) in determining drought. Thus, unlike the SPI, the SPEI...
Formats: netCDF | ascii Timestep: Monthly,Seasonal,Annual Domain: Global
See Expert Guidance by Vicente-Serrano, Sergio M.
6-month SPI through January, 2014 capturing drought in California and heavy rains in the Front range of Colorado. Retrieved on 31 January 2014 at http://www.hprcc.unl.edu/maps/current/index.php?action=update_daterange&daterange=6m
Standardized Precipitation Index (SPI)
Years of Record: 1949/01 to 2018/07
The Standardized Precipitation Index (SPI) is a widely used index to characterize meteorological drought on a range of timescales. On short timescales, the SPI is closely related to soil moisture, while at longer timescales, the SPI can be related to groundwater and reservoir storage. The SPI can...
Main variables and Earth System components:
Timestep: Monthly
See Expert Guidance by Keyantash, John
Vertical profiles of December climatologies at (65N,270E) for Forcing and RPC.
Stratospheric & Tropospheric Ozone: ACC/SPARC (Atmospheric Chemistry and Climate / Stratospheric Processes and their Role in Climate)
Years of Record: 1849/12 to 2099/12
"The AC...
Main variables and Earth System components:
Formats: netCDF Timestep: Monthly Domain: Global Collections: Boundary Conditions, CMIP5-recommended, AC&C/SPARC ozone
Share your knowledge about this data set and improve the Guide!
Stratospheric Ozone: Randel & Wu 2007
Years of Record: 1979/01 to 2005/12
This is a monthly, zonal-mean ozone profile data set spanning 1979–2005 for altitudes from the tropopause up to 50 km. Interannual variability is based on a combination of SAGE (Stratospheric Aerosol and Gas Experiment) satellite profile measurements and polar ozonesondes.  The interannual...
Main variables and Earth System components:
Formats: binary Timestep: Monthly Domain: Global Collections: Boundary Conditions
See Expert Guidance by Randel, Bill
Climate Data Guide Image: CCMVal2 climatological O3 range (1979-2007).
Stratospheric Ozone: Vertically Resolved, zonal mean based on BDBP
Years of Record: 1979/01 to 2007/12
Combined monthly mean vertical ozone profile database spanning the period 1979 to 2007. The database is completely filled such that there are no missing data. The raw individual ozone data are sourced from the BDBP database.  Monthly means are calculated from individual ozone measurements...
Main variables and Earth System components:
Formats: netCDF Timestep: Monthly Domain: Global
See Expert Guidance by Hassler, Birgit
NOCv2.0 Surface Flux and Meteorological Dataset (contributed by E. Kent)
Surface Flux and Meteorological Dataset: National Oceanography Centre (NOC) V2.0
Years of Record: 1973/01 to 2014/12
The National Oceanography Centre  (NOC) Version 2.0 Surface Flux and Meteorological Dataset is a monthly mean gridded dataset of marine surface measurements and derived fluxes constructed using optimal interpolation. Input for the period 1973 to 2006 are ICOADS Release 2.4 ship data and the...
Formats: netCDF Timestep: Monthly Domain: Global Collections: Climate Data Record
See Expert Guidance by Kent, Elizabeth
Surface Solar Radiation Data Set - Heliosat (SARAH) -Edition 1
Years of Record: 1983/01 to 2013/12
"The Surface Solar Radiation Data Set - Heliosat (SARAH) is a satellite-based climatology of the solar surface irradiance (SIS), the surface direct normalized irradiance (DNI) and the effective cloud albedo (CAL) derived from satellite observations of the visible channels of the MVIRI and SEVIRI...
Main variables and Earth System components:
Formats: netCDF Timestep: Sub-daily,Daily,Monthly Domain: Africa, Europe, NH - Northern Hemisphere, SH - Southern Hemisphere Collections: Climate Data Record
Share your knowledge about this data set and improve the Guide!
Surface Solar Radiation for Europe, Africa and the Atlantic based on MVIRI visible channnels
Years of Record: 1983/01 to 2005/12
The EUMETSAT Satellite Application Facility on Climate Monitoring (CM SAF) provides a regional dataset of surface solar radiation, incoming direct radiation and effective cloud albedo at uniquely high spatial (0.03 deg) and temporal (up to hourly) resolutions for 1983 to 2005. The data set covers...
Main variables and Earth System components:
Formats: netCDF Timestep: Sub-daily,Daily,Monthly Domain: Africa, Europe, South America, Atlantic Ocean Collections: Climate Data Record
See Expert Guidance by Trentmann, Jörg

Pages

Subscribe to Climate Data Sets Subscribe to Climate Data Sets in the Climate Data Guide containing links to rda.ucar.edu

Copyright 2021 UCAR | Contact | Privacy Policy | Terms of Use | Copyright Issues | NCAR Home

The National Center for Atmospheric Research is sponsored by the National Science Foundation. Any opinions, findings and conclusions or recommendations expressed in this material do not necessarily reflect the views of the National Science Foundation.