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

In situ data: ICOADS2.5 before 2007 and NCEP in situ data from 2008 to present. Ice data: HadISST ice before 2010 and NCEP ice after 2010.

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The GISTEMP dataset is a global 2x2 gridded temperature anomaly dataset. Temperature data is updated around the middle of every month using current
data files from NOAA GHCN v3 (meteorological stations), ERSST v5 (ocean areas), and SCAR (Antarctic stations), combined as described in the December
2010 publication (Hansen et al. 2010). These updated files incorporate reports for the previous month and also late reports and corrections for
earlier months. Please refer to the NASA webpage for more details, caveats, and products.

First is the monitoring product for the period 1982 to present, based on quality-controlled data from 7,000 stations. The second is the Full Data
Product (V2020) for the period 1891 to 2019, based on quality-controlled data from from 67,200 stations world-wide that feature record durations of
10 years or longer. This product contains the monthly totals on a regular grid with a spatial resolution of 0.25° x0.25° , 0.5° x 0.5°, 1.0° x
1.0°, and 2.5° x 2.5° latitude by longitude. Precipitation anomalies at the stations are interpolated and then superimposed on the GPCC