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


Identification Information:
(datsetid):gov.noaa.cpc:CPC-TEMP-MLY-GLSAT-v2004
Citation:
Citation Information:
Originator: Climate Prediction Center, National Centers for Environmental Prediction, National Weather Service, NOAA, U.S. Department of Commerce
Publication Date: 20040101
Title: Climate Prediction Center (CPC) Global Land Surface Air Temperature Analysis
Geospatial Data Presentation Form: raster digital data
Publication Information:
Publication Place: Maryland
Publisher: Climate Prediction Center
Online Linkage: ftp://ftp.cpc.ncep.noaa.gov/wd51yf/GHCN_CAMS/
Description:
Abstract: 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.
Purpose: The GHCN+CAMS global land surface air temperature analysis is constructed for applications in climate prediction, climate monitoring, climate analysis and verifications of numerical models and satellite estimates.
Supplemental Information: In the online linkage, subdirectory “grib” contains full field GHCN+CAMS monthly value data in GRIB format, available at 0.5-degree, t126, t64, and 2.5-degree horizontal resolutions. See README.txt in this location for more information. In subdirectory “GeoTIFF”, monthly .tif files are available for each month, starting in 1948. Data is updated monthly.
Time Period of Content:
Time Period Information:
Range of Dates/Times:
Beginning Date: 19480101
Ending Date: Present
Currentness Reference: ground condition
Status:
Progress: Complete
Maintenance and Update Frequency: Monthly
Spatial Domain:
Bounding Coordinates:
West Bounding Coordinate: -179.75
East Bounding Coordinate: 179.75
North Bounding Coordinate: 89.75
South Bounding Coordinate: -89.75
Keywords:
Theme:
Theme Keyword Thesaurus: ISO 19115 Topic Category
Theme Keyword: climatologyMeteorologyAtmosphere
Theme:
Theme Keyword Thesaurus: NASA GCMD Science Keywords
Theme Keyword: Atmosphere > Atmospheric Temperature > Air Temperature
Theme Keyword: Atmosphere > Atmospheric Temperature > Surface Air Temperature
Theme:
Theme Keyword Thesaurus: None
Theme Keyword: global gridded monthly temperature data
Theme Keyword: GHCN CAMS monthly temperature data
Theme Keyword: surface temperature monitoring data
Theme Keyword: surface temperature gridded data
Theme Keyword: surface temperature GIS data
Place:
Place Keyword Thesaurus: NASA GCMD Location Keywords
Place Keyword: Geographic Region > Global
Stratum:
Stratum Keyword Thesaurus: NASA GCMD Location Keywords
Stratum Keyword: Vertical Location > Land Surface
(thelayid):
(numthlay):2
(layrname):
Theme:
Theme Keyword Thesaurus: ISO 19115 Topic Category
Theme Keyword: climatologyMeteorologyAtmosphere
(layrname):
Theme:
Theme Keyword Thesaurus: NASA GCMD Science Keywords
Theme Keyword: Atmosphere > Atmospheric Temperature > Air Temperature
Theme Keyword: Atmosphere > Atmospheric Temperature > Surface Air Temperature
Access Constraints: None
Use Constraints: Acknowledgment of the Data Originator when using the data item as a source.
Point of Contact:
Contact Information:
Contact Organization Primary:
Contact Organization: Climate Prediction Center, NOAA
Contact Position: Research Scientist
Contact Address:
Address Type: mailing and physical
Address: 5380 University Research Court
City: College Park
State or Province: Maryland
Postal Code: 20740
Country: United States of America
Contact Voice Telephone: (301) 683-1314
Contact Electronic Mail Address: emily.becker@noaa.gov
Hours: 08:00 - 5:00 PM Eastern
Browse Graphic:
Browse Graphic File Name: http://www.cpc.ncep.noaa.gov/products/Soilmst_Monitoring/Figures/global/curr.t.full.gif
Browse Graphic File Description: Monthly mean GHCN+CAMS global gridded 2m surface air temperature in degrees C.
Browse Graphic File Type: GIF
Browse Graphic:
Browse Graphic File Name: http://www.cpc.ncep.noaa.gov/products/Soilmst_Monitoring/Figures/global/curr.t.anom.gif
Browse Graphic File Description: GHCN+CAMS global gridded 2m surface air temperature anomaly in degrees C. Anomaly is the difference between the current monthly mean temperature and the climatological average for that month based on 1971-2000.
Browse Graphic File Type: GIF
(progaff):
(progname):Climate Prediction Center
Data Quality Information:
Attribute Value Accuracy Information:
Attribute Accuracy Report: GHCN+CAMS temperature data set captures most common temporal-spatial features in the observed climatology and anomaly fields over both regional and global domains. The GHCN+CAMS analysis has been tested for quality control through comparison with several existing observation-based land surface air temperature data sets. Refer to 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.
Logical Consistency Report: NA
Completeness Report: The GHCN+CAMS analysis has been tested for quality control through comparison with several existing observation-based land surface air temperature data sets. Refer to 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.
Lineage:
Process Step:
Process Description: The Global Historical Climatology Network (GHCN) and Climate Anomaly Monitoring System (CAMS) are obtained each month for the preceding month. Quality controls are performed on CAMS; GHCN is quality-controlled by its producers. GHCN and CAMS are station data sets. They are merged and interpolated to a regularly-spaced grid. Refer to 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.
Process Date: 20040101
Process Contact:
Contact Information:
Contact Organization Primary:
Contact Organization: Climate Prediction Center
Contact Person: Emily.Becker@noaa.gov
Contact Position: Research Scientist
Contact Address:
Address Type: physical
Address: 5380 University Research Court
City: College Park
State or Province: MD
Postal Code: 20740
Contact Voice Telephone: (301) 683-1314
Contact TDD/TTY Telephone: (301) 683-1314
Contact Facsimile Telephone: (301) 683-3403
Contact Electronic Mail Address: Emily.becker@noaa.gov
Hours: 9 AM to 4 PM
Contact Instructions: Call the office
Spatial Data Organization Information:
Direct Spatial Reference Method: Raster
Spatial Reference Information:
Horizontal Coordinate System Definition:
Geographic:
Latitude Resolution: 0.5
Longitude Resolution: 0.5
Geographic Coordinate Units: Decimal degrees
Entity and Attribute Information:
Overview Description:
Entity and Attribute Overview: Monthly land surface air temperature analysis expressed in degrees Celsius.
Entity and Attribute Detail Citation: NOAA's Climate Prediction Center
Distribution Information:
Distributor:
Contact Information:
Contact Organization Primary:
Contact Organization: NOAA's Climate Prediction Center
Contact Position: Research Scientist
Contact Address:
Address Type: mailing and physical
Address: 5380 University Research Court
City: College Park
State or Province: Maryland
Postal Code: 20740
Country: United States of America
Contact Voice Telephone: (301) 683-1314
Contact Electronic Mail Address: Emily.becker@noaa.gov
Resource Description: 001
Distribution Liability: Refer the NOAA National Weather Service disclaimer http://www.weather.gov/disclaimer.php
Standard Order Process:
Digital Form:
Digital Transfer Information:
Format Name: TIFF and Gridded Binary
File Decompression Technique: No compression applied
Digital Transfer Option:
Online Option:
Computer Contact Information:
Network Address:
Network Resource Name: ftp://ftp.cpc.ncep.noaa.gov/wd51yf/GHCN_CAMS/
Fees: None
Metadata Reference Information:
Metadata Date: 20121011
Metadata Contact:
Contact Information:
Contact Organization Primary:
Contact Organization: NOAA's Climate Prediction Center
Contact Position: Research Scientist
Contact Address:
Address Type: mailing and physical
Address: 5380 University Research Court
City: College Park
State or Province: Maryland
Postal Code: 20740
Country: United States of America
Contact Voice Telephone: (301) 683-1314
Contact Electronic Mail Address: emily.becker@noaa.gov
Metadata Standard Name: FGDC Content Standard for Digital Geospatial Metadata
Metadata Standard Version: FGDC-STD-001-1998
Metadata Extensions:
Online Linkage: http://www.fgdc.gov/standards/projects/FGDC-standards-projects/csdgm_rs_ex/MetadataRemoteSensingExtens.pdf
Profile Name: Content Standard for Digital Geospatial Metadata: Extensions for Remote Sensing Metadata, FGDC-STD-012-2002
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