China Average Monthly or Annual Mean Temperature, 1961-90

Metadata:

• Identification_Information
• Data_Quality_Information
• Spatial_Data_Organization_Information
• Spatial_Reference_Information
• Entity_and_Attribute_Information
• Distribution_Information
• Metadata_Reference_Information

Identification_Information:

Citation:

Citation_Information:

Originator:

Dr. Chris Daly of the Spatial Climate Analysis Service at Oregon State University

Publication_Date: 200210

Title: China Average Monthly or Annual Mean Temperature, 1961-90

Geospatial_Data_Presentation_Form: raster digital data

Publication_Information:

Publication_Place: Corvallis, Oregon, USA

Publisher:

Spatial Climate Analysis Service at Oregon State University (SCAS/OSU)

Description:

Abstract:

This data set contains spatially gridded average monthly and annual mean temperature for the climatological period 1961-90. Distribution of the point measurements to a spatial grid was accomplished using the PRISM model, developed by Chris Daly of SCAS/OSU.

Purpose:

Display and/or analyses requiring spatially distributed average monthly or annual mean temperature for the climatological period 1961-90.

Supplemental_Information:

There are many methods of interpolating climate from monitoring stations to grid points. Some provide estimates of acceptable accuracy in flat terrain, but few have been able to adequately explain the extreme, complex variations in climate that occur in mountainous regions. Significant progress in this area has been achieved through the development of PRISM (Parameter-elevation Regressions on Independent Slopes Model). PRISM is an analytical model that uses point data and a digital elevation model (DEM) to generate gridded estimates of monthly and annual mean temperature (as well as other climatic parameters). PRISM is well suited to regions with mountainous terrain, because it incorporates a conceptual framework that addresses the spatial scale and pattern of orographic processes. Temperature was modeled monthly. An annual grid was produced by averaging the monthly grids. A Gaussian filter was applied to increase the resolution of the grids from the base resolution 2.5 arc-minutes (~4 km) to 1.25 arc-minutes (~2 km). This filter is a modification of the Barnes filter (Barnes, 1964), originally adapted by Dr. Stephen Esbensen of Oregon State University, and later modified for use here by Wayne P.Gibson, also of Oregon State University.

Time_Period_of_Content:

Time_Period_Information:

Range_of_Dates/Times:

Beginning_Date: 19610101

Ending_Date: 19901231

Currentness_Reference:

Climatological period from which the point observations were taken.

Status:

Progress: Complete

Maintenance_and_Update_Frequency:

None planned for the 1961-90 climatological period. However, this data set may be updated at some point in time for the 1971-2000 climatological period.

Spatial_Domain:

Bounding_Coordinates:

West_Bounding_Coordinate: 71.989583

East_Bounding_Coordinate: 136.010417

North_Bounding_Coordinate: 54.010417

South_Bounding_Coordinate: 16.989583

Keywords:

Theme:

Theme_Keyword_Thesaurus: None

Theme_Keyword: raster data

Theme_Keyword: mean temperature

Theme_Keyword: grid cell

Place:

Place_Keyword_Thesaurus: None

Place_Keyword: China

Access_Constraints: Access pursuant to license agreement.

Use_Constraints: Use pursuant to license agreement.

Point_of_Contact:

Contact_Information:

Contact_Person_Primary:

Contact_Person: Christopher Daly, Director, SCAS

Contact_Address:

Address_Type: mailing address

Address: Strand Ag Hall 316

Address: Spatial Climate Analysis Service

Address: Oregon State University

City: Corvallis

State_or_Province: OR

Postal_Code: 97331-2209

Country: USA

Contact_Voice_Telephone: (541) 737-5705

Contact_Facsimile_Telephone: (541) 737-5710

Contact_Electronic_Mail_Address: daly@coas.oregonstate.edu

Security_Information:

Security_Classification_System: None

Security_Classification: Unclassified

Native_Data_Set_Environment:

Microsoft Windows 2000 Version 5.0 (Build 2195) Service Pack 2; ESRI ArcCatalog 8.1.2.671

Data_Quality_Information:

Logical_Consistency_Report:

All data were based on the same averaging period (1961-1990). Similar quality assurance procedures were used with all input data sets.

Completeness_Report:

Point estimates of mean temperature originated from the National Meteorological Center, Beijing, China. All station data were subjected to quality control checks by the Spatial Climate Analysis Service.

Positional_Accuracy:

Horizontal_Positional_Accuracy:

Horizontal_Positional_Accuracy_Report:

Accuracy of this data set is based on the specification of the US Geological Survey GTOPO30 global digital elevation model (DEM). The stated accuracy of the DEM ranges depending on the source of terrain data, but is approximately 130 m circular error with 90% probability.

Quantitative_Horizontal_Positional_Accuracy_Assessment:

Horizontal_Positional_Accuracy_Value: 130 m with 90% probability.

Horizontal_Positional_Accuracy_Explanation: GTOPO30 DEM accuracy

Lineage:

Source_Information:

Source_Citation:

Citation_Information:

Originator: National Meteorological Center, Beijing, China

Title: China Climate Normals for the 1961-90 period

Source_Information:

Source_Citation:

Citation_Information:

Originator: US Geologic Survey, EROS Data Center

Publication_Date: 1996

Title: GTOPO30 Digital Elevation Model (DEM)

Publication_Information:

Publication_Place: Sioux Falls, SD

Publisher: U.S. Geological Survey

Online_Linkage: <URL:http://edcdaac.usgs.gov/gtopo30/gtopo30.html>

Type_of_Source_Media: digital files

Source_Citation_Abbreviation: GTOPO30

Source_Contribution:

Terrain surface input to PRISM model for estimation of temperature between known points

Process_Step:

Process_Description:

It is beyond the scope of this metadata to document the processes involved in generating spatially gridded temperature using the PRISM model. However, the processes are documented in numerous conference proceedings and journal articles. The references can be found online at <URL:http://www.ocs.oregonstate.edu/prism>.

Process_Date: 200210

Spatial_Data_Organization_Information:

Direct_Spatial_Reference_Method: Raster

Raster_Object_Information:

Raster_Object_Type: Grid Cell

Row_Count: 1777

Column_Count: 3073

Vertical_Count: 1

Spatial_Reference_Information:

Horizontal_Coordinate_System_Definition:

Geographic:

Latitude_Resolution: 0.02083333

Longitude_Resolution: 0.02083333

Geographic_Coordinate_Units: Decimal degrees

Geodetic_Model:

Horizontal_Datum_Name: World Geodetic System 1984

Ellipsoid_Name: WGS_1984

Semi-major_Axis: 6378137.000000

Denominator_of_Flattening_Ratio: 298.257224

Entity_and_Attribute_Information:

Detailed_Description:

Entity_Type:

Entity_Type_Label: Average mean temperature grid cell value

Entity_Type_Definition: ASCII values

Entity_Type_Definition_Source: Self-evident

Attribute:

Attribute_Label: Value

Attribute_Definition: Spatially gridded average mean temperature

Attribute_Definition_Source:

Daly, C., R.P. Neilson, and D.L. Phillips, 1994: A Statistical-Topographic Model for Mapping Climatological Precipitation over Mountainous Terrain. J. Appl. Meteor., 33,140-158. Daly, C., W. P. Gibson, G.H. Taylor, G. L. Johnson, P. Pasteris. 2002. A knowledge-based approach to the statistical mapping of climate. Climate Research, 22, 99-113, 2002

Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: -180

Range_Domain_Maximum: 268

Attribute_Units_of_Measure: Degrees C times 10

Attribute_Measurement_Resolution: 1

Attribute_Domain_Values:

Enumerated_Domain:

Enumerated_Domain_Value: <= -9999

Enumerated_Domain_Value_Definition: no data available or outside of range domain

Enumerated_Domain_Value_Definition_Source: Spatial Climate Analysis Service PRISM Project

Distribution_Information:

Distributor:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization: Climate Source, Inc.

Contact_Address:

Address_Type: mailing address

Address: 946 NW Circle Blvd. #222

City: Corvallis

State_or_Province: OR

Postal_Code: 97330-1410

Country: United States

Contact_Voice_Telephone: (512) 693-9007

Contact_Electronic_Mail_Address: info@climatesource.com

Distribution_Liability:

This is a license agreement and not an agreement for sale. This agreement between the end user (Licensee) and The Climate Source (TCS) grants certain limited rights to use proprietary climate data (the Database) distributed by TCS. All rights not specifically granted in this agreement are reserved to TCS. Licensee acknowledges that the Database may contain some defects, errors, or inconsistencies. TCS does not warrant that the Database will meet the needs of the Licensee or that all defects can or will be corrected. TCS assumes no responsibility for decisions, judgments, or analyses which are based in any way on the Database.

Standard_Order_Process:

Digital_Form:

Digital_Transfer_Information:

Format_Name: ARC/INFO ASCII Grid; XYZ; custom formats available

Digital_Transfer_Option:

Offline_Option:

Offline_Media: CD-ROM

Recording_Format: ISO 9660

Compatibility_Information: CD ROM drive with ISO 9660 software driver

Fees: Price per CD based on products purchased

Technical_Prerequisites: CD ROM drive with ISO 9660 software driver

Metadata_Reference_Information:

Metadata_Date: 20021028

Metadata_Contact:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization: Climate Source, Inc.

Contact_Address:

Address_Type: mailing address

Address: 946 NW Circle Blvd. #222

City: Corvallis

State_or_Province: OR

Postal_Code: 97330-1410

Country: USA

Contact_Electronic_Mail_Address: info@climatesource.com

Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial Metadata

Metadata_Standard_Version: FGDC-STD-001-1998

Metadata_Time_Convention: local time

Metadata_Security_Information:

Metadata_Security_Classification_System: None

Metadata_Security_Classification: Unclassified

Metadata_Security_Handling_Description: None

Metadata_Extensions:

Online_Linkage: <http://www.esri.com/metadata/esriprof80.html>

Profile_Name: ESRI Metadata Profile