The COBE-SST is a gridded 1x1 resolution SST monitoring dataset. It is used as input for the JMA Climate Data Assimilation System (JCDAS) and the
Japanese 25-year Re-analyses (JRA-25 and JRA-55). It is also used as input for the ensemble prediction systems used in seasonal forecasts. It starts
in 1891 and extends to near present.

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The monthly data set consists of two files containing global monthly averaged precipitation rate values at a 2.5x2.5 resolution starting in 1979. Values are obtained from 5 kinds of satellite estimates (GPI,OPI,SSM/I scattering, SSM/I emission and MSU). The enhanced file also includes blended NCEP/NCAR Reanalysis Precipitation values. The other just includes the satellite estimates.
Pentad data is also available.

The monthly data set consists of a file containing 1/2 degree monthly averaged soil moisture water height equivalents for the globe from 1948
onwards. Values are model-calculated and not measured directly. Soil moisture is estimated by a one-layer hydrological model (Huang et al., 1996; van
den Dool et al, 2003). The model takes observed precipitation and temperature and calculates soil moisture, evaporation and runoff.

CPC Unified Gauge-Based Analysis of Daily Precipitation over CONUS at PSD: Gridded Monthly Values. Monthly Values after 2006 are from the real time files (RT)

Gridded daily Precipitation

CRUTEM4 is a gridded dataset of global historical near-surface air temperature anomalies over land. Data are available for each month from January
1850 to present, on a 5 degree grid. The gridded data are based on an archive of monthly mean temperatures provided by more than 5500 weather
stations distributed around the world. Each station temperature is converted to an anomaly from the 1961-90 average temperature for that station, and

A station observation-based global land monthly mean surface air temperature dataset at 0.5 0.5 latitude-longitude resolution for the period from 1948 to the present . It uses a combination of two large individual data sets of station observations collected from the Global Historical Climatology Network
version 2 and the Climate Anomaly Monitoring System (GHCN + CAMS), so it can

The Extended Reconstructed Sea Surface Temperature (ERSST) dataset is a global monthly sea surface temperature analysis derived from the
International Comprehensive Ocean-Atmosphere Dataset with missing data filled in by statistical methods. The monthly analysis begins in January 1854
continuing to the present and includes anomalies computed with respect to a 1971-2000 monthly climatology. Version 3b
is optimally tuned to exclude under-sampled regions for global averages and does not include satellite data, which were found to cause a cold bias