Abstract

A station observation based global land monthly mean surface air temperature at 0.5 x 0.5 latitude-longitude resolution for the period from 1948 to the present was developed recently at the Climate Prediction Center, National Centers for Environmental Prediction. The analysis is derived from the combination of two individual sets of station observations collected from the Global Historical Climatology Network version 2 and the Climate Anomaly Monitoring System data sets. This data set will be regularly updated and mainly used as one of land surface meteorological forcing inputs to derive other land surface variables, such as the soil moisture, evaporation, surface runoff, snow accumulation and snow melt etc. As a byproduct, this monthly mean surface air temperature data set can also be applied to monitor surface air temperature variations over global land routinely or to verify the performance of model simulation and prediction.

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