*Note: This dataset version has been superseded by a newer version. It is highly recommended that users access the current version. Users should only use this version for special cases, such as reproducing studies that used this version.* This dataset contains gridded daily Normalized Difference Vegetation Index (NDVI) derived from the NOAA Climate Data Record (CDR) of Advanced Very High Resolution Radiometer (AVHRR) Surface Reflectance.

*Note: This dataset version has been superseded by a newer version. It is highly recommended that users access the current version. Users should only use this version for special cases, such as reproducing studies that used this version.* This NOAA Climate Data Record (CDR) from Colorado State University (CSU) contains brightness temperatures that have been improved and quality-controlled over the observation time period.

The Gridded Satellite (GridSat-B1) data provides a uniform set of quality controlled geostationary satellite observations for the visible, infrared window and infrared water vapor channels. GridSat-B1 uses the International Satellite Cloud Climatology Project (ISCCP) B1 dataset providing coverage every 3 hours from 1980 to the present, and is updated quarterly as possible. The ISCCP B1 data have been quality controlled, calibrated, remapped and merged together to provide a nearly global coverage of top of the atmosphere radiances.

The International Best Track Archive for Climate Stewardship (IBTrACS) dataset was developed by the NOAA National Climatic Data Center, which took the initial step of synthesizing and merging best track data from all official Tropical Cyclone Warning Centers (TCWCs) and the WMO Regional Specialized Meteorological Centers (RSMCs) who are responsible for developing and archiving best track data worldwide.

The Suomi NPP Climate Raw Data Record (C-RDR) developed at the NOAA NCDC is an intermediate product processing level (NOAA Level 1b) between a Raw Data Record (RDR) and a Sensor Data Record (SDR). The C-RDR is intended to simplify access to the raw data for the purpose of reprocessing using calibration and geolocation methods. The Visible Infrared Imaging Radiometer Suite (VIIRS) C-RDR has raw VIIRS measurements collected into time series variables, accompanied by the coefficients and tables needed to convert them to science units and calibrate them.

This NOAA Climate Data Record (CDR) of AVHRR reflectance and brightness temperatures was produced by the University of Wisconsin using the AVHRR Pathfinder Atmospheres - Extended (PATMOS-X) Version 5.3 processing system. The CDR spans from 1979 to the present with daily, global coverage generated from between two and ten NOAA and MetOp satellite passes per day. The source AVHRR data points, with a sensor resolution of 1.09 km near nadir, have been fitted to a 0.1 x 0.1 degree equal-angle grid in ascending and descending files.

**Please note, this dataset has been superseded by a newer version (see below). Users should not use this version except in rare cases (e.g., when reproducing previous studies that used this version).** The Global Historical Climatology Network - Daily (GHCN-Daily) dataset addresses the need for historical daily records over global land areas. Like its monthly counterpart (GHCN-Monthly), GHCN-Daily is a composite of climate records from numerous sources that were merged and then subjected to a suite of quality assurance reviews.

This NOAA Climate Data Record (CDR) of cloud products was produced by the University of Wisconsin using the AVHRR Pathfinder Atmospheres - Extended (PATMOS-X) Version 5.3 processing system. The CDR spans from 1979 to the present with daily, global coverage generated from between two and ten NOAA and MetOp satellite passes per day. The source AVHRR data points, with a sensor resolution of 1.09 km near nadir, have been fitted to a 0.1 x 0.1 degree equal-angle grid in ascending and descending files.

Monthly Summaries of Global Historical Climatology Network (GHCN)-Daily is a dataset derived from GHCN-Daily. The data are produced by computing simple averages or monthly accumulations of the daily observations. The meteorological elements calculated for the data set include, but are not limited to: monthly maximum and minimum temperature, monthly precipitation (i.e., rainfall and snow water equivalent), snowfall and snow depth. Users of these monthly summaries have access to simple meteorological summaries for tens of thousands of stations worldwide.

This high-resolution sea surface temperature (SST) analysis product was developed using an optimum interpolation (OI) technique. The SST analysis has a spatial grid resolution of 0.25 (1/4) degree and temporal resolution of 1 day. The product uses Advanced Very High Resolution Radiometer (AVHRR) satellite data from the Pathfinder AVHRR SST dataset when available for September 1981 through December 2005, and the operational Navy AVHRR Multi-Channel SST data for 2006 to the present day. Pathfinder AVHRR SST was chosen because of good agreement with the in situ observation data.