Subjectively identified areas of large-scale organized convection over the global tropics (25N-25S) have been gridded daily for a 15-year period from 1971 to 1988.

Data is interpolated in time and space from NOAA twice-daily OLR values and averaged to once daily

The optimum interpolation (OI) sea surface temperature (SST) analysis is produced weekly on a one-degree grid. The analysis uses in situ and
satellite SST's plus SST's simulated by sea-ice cover. Before the analysis is computed, the satellite data is adjusted for biases using the
method of Reynolds (1988) and Reynolds and Marsico (1993). Monthly data is calculated by interpolating weekly data to daily and then producing
monthly values.

The ocean atlas contains annual, seasonal, and monthly long term means for temperature and salinity at multiple depths.

The ocean atlas contains annual, seasonal, and monthly long term means for temperature and salinity at multiple depths.

Monthly North American snow sover extent derived from weekly values

The product contains the 1-degree by 1-degree daily mean outgoing longwave radiation flux at the top of the atmosphere derived from HIRS radiance observations onboard NOAA TIROS-N series and MetOp satellites. The OLR retrieval uses multispectral regression models (Ellingson et al., 1989, Lee, 2014). The CDR processing includes HIRS radiance calibration, inter-satellite HIRS OLR calibration, normalization of geostationary-based OLR retrieval to HIRS, and grid-based 7-day boxcar temporal integration assisted with Imager-based OLR derived from Gridsat CDR data (Lee, 2014).

PDSI from the Dai dataset. The Palmer Drought Severity Index (PDSI) is devised by Palmer (1965) to represent the severity of dry and wet spells over
the U.S. based on monthly temperature and precipitation data as well as the soil-water holding capacity at that location. These data consist of the
monthly PDSI over global land areas from 1850 to 2010. Different precipitation/temperature datasets are used in the different files. Update and more
information are available at CGD (Climate and Global Dynamics Division).

The PREC data set is an analysis of monthly precipitation constructed on a 2.5° lat/lon grid over the global for the period from 1948 to the
present. The land portion of this global analysis is defined by optimum interpolation of gauge observations at over 17,000 stations collected in the
NOAA/NCDC GHCN Version 2 and the NOAA/CPC CAMS data sets. The oceanic precipitation analysis (PREC/O), meanwhile, is produced by EOF reconstruction

The monthly data set consists files of 3 resolutions of monthly averaged precipitation totals. The global analyses are defined by interpolation of gauge observations over land (PREC-L) and by EOF recon- struction of historical observations over ocean (PREC-O). Gauge observations are from over 17 000 stations collected in the Global Historical Climatology Network (GHCN), version 2, and the Climate Anomaly Monitoring System (CAMS) datasets. An OI technique of Gandin was used to assimilate the observations.