Climate Prediction Center (CPC) Global Land Surface Air Temperature Analysis

Metadata Updated: March 10, 2021

A station observation-based global land monthly mean surface air temperature dataset at 0.5 x 0.5 latitude-longitude resolution for the period from 1948 to the present was developed at the Climate Prediction Center, National Centers for Environmental Prediction. This data set is different from some existing surface air temperature data sets in: (1) using 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 be regularly updated in near real time with plenty of stations and (2) some unique interpolation methods, such as the anomaly interpolation approach with spatially-temporally varying temperature lapse rates derived from the observation-based Reanalysis for topographic adjustment. When compared with several existing observation-based land surface air temperature data sets, the preliminary results show that the quality of this new GHCN + CAMS land surface air temperature analysis is reasonably good and the new data set can capture most common temporal-spatial features in the observed climatology and anomaly fields over both regional and global domains. The study also reveals that there are clear biases between the observed surface air temperature and the existing Reanalysis data sets, and they vary in space and seasons. Therefore the Reanalysis 2 m temperature data sets may not be suitable for model forcing and validation. The GHCN + CAMS data set will be mainly used as one of land surface meteorological forcing inputs to derive other land surface variables, such as 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. Refer to this paper: Fan, Y. and H. van den Dool, 2008: A global monthly land surface air temperature analysis for 1948-present. J. Geophys. Res., 113, doi: 10.1029/2007JD008470.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Metadata Created Date March 10, 2021
Metadata Updated Date March 10, 2021
Data Update Frequency R/P1M

Metadata Source

Harvested from Commerce Non Spatial Data.json Harvest Source

Additional Metadata

Resource Type Dataset
Metadata Created Date March 10, 2021
Metadata Updated Date March 10, 2021
Publisher Climate Prediction Center, NOAA (Point of Contact)
Unique Identifier Unknown
Identifier gov.noaa.cpc:CPC-TEMP-MLY-GLSAT-v2004
Language en-US
Data Last Modified 2004-01-01
Public Access Level public
Data Update Frequency R/P1M
Bureau Code 006:48
Metadata Context
Schema Version
Catalog Describedby
Old Spatial {"type": "Polygon", "coordinates": -179.75, -89.75, 179.75, -89.75, 179.75, 89.75, -179.75, 89.75, -179.75, -89.75}
Program Code 000:000
Source Datajson Identifier True
Source Hash 1c9773321fbf74ec6971bed137e0bc6173894fbf
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -179.75, -89.75, 179.75, -89.75, 179.75, 89.75, -179.75, 89.75, -179.75, -89.75}
Temporal 1948-01-01T00:00:00/2014-08-25T10:50:19.030000-04:00

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