# Seamless Daily Minimum Temperature for the Conterminous United States

Metadata also available as

# 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:

Mauro Di Luzio, Blackland Research Center, Texas Agricultural Experiment Station, Texas A&M University System, Temple, Texas

Publication_Date: 200710

Title:

Seamless Daily Minimum Temperature for the Conterminous United States

Edition: First

Geospatial_Data_Presentation_Form: raster digital data

Publication_Information:

Publication_Place: not defined at this time

Publisher: not defined at this time

Other_Citation_Details:

Online_Linkage: not defined at this time

Larger_Work_Citation:

Description:

Abstract:

Spatially distributed daily minimum temperature for the Conterminous United States (CONUS). Each file represents 1 day for the period 1960-2001 and at the 2.5 min (around 4 km) resolution. The data were obtained via interpolation of daily ratios calculated from ground-based meteorological station records (Eischeid et al. 2000) and combined with the respective fields of monthly topography-enhanced estimates, the PRISM (Parameter-elevation Regressions on Independent Slopes Model) maps (Daly et al. 1994 ).

Purpose:

Support environmental/hydrologic/water resources modeling research studies. In particular, the development of these data were initiated to support the USDA-NRCS Conservation Effects Assessment Project (CEAP), a program initiated by the United States Department of Agriculture (USDA), which includes outlooks for water quality at the watershed as well as the national scale. Topics of CEAP are agricultural conservation practices, which are recognized as reducing local losses of soil, nutrients, pesticides, pathogens, and other biological and chemical materials from agricultural lands, as well conserving natural resources, enhancing the quality of the agro-ecosystem and wildlife habitat. The core of the CEAP’s assessment approach binds hydrology based software models simulating on a daily time step and a number of supporting digital databases to derive annual estimates of the agricultural conservation benefits obtained by the program for the U.S.

Supplemental_Information:

Further information can be found in: Di Luzio M., G.L. Johnson, C. Daly, J. Eischeid, J.G. Arnold, Accepted. Constructing Retrospective Gridded Daily Precipitation and Temperature Datasets for the Conterminous United States. Journal of Applied Meteorology and Climatology.

Time_Period_of_Content:

Time_Period_Information:

Single_Date/Time:

Calendar_Date:

month, day, and year (MMDDYYYY) for which the data set corresponds to the ground

Range_of_Dates/Times:

Beginning_Date: 19600101

Ending_Date: 20011231

Currentness_Reference:

Day at which the point observations were taken. Morning observations were associated to the previous day.

Status:

Progress: Complete

Maintenance_and_Update_Frequency: None planned

Spatial_Domain:

Bounding_Coordinates:

West_Bounding_Coordinate: -125.020833333333

East_Bounding_Coordinate: -66.47916757

North_Bounding_Coordinate: 49.93750000

South_Bounding_Coordinate: 24.06250000000

Keywords:

Theme:

Theme_Keyword_Thesaurus: None

Theme_Keyword: raster data

Theme_Keyword: temperature

Theme_Keyword: grid cell

Place:

Place_Keyword_Thesaurus: None

Place_Keyword: Conterminous USA

Access_Constraints: no restrictions apply

Use_Constraints:

Acknowledgement of the following agencies in products derived from these data: United States Department of Agriculture Natural Conservation Service National Water and Climatic Center The Texas Agricultural Experiment Station Blackland Research Center

Point_of_Contact:

Contact_Information:

Contact_Person_Primary:

Contact_Person: Mauro Di Luzio

Contact_Organization:

Texas Agricultural Experiment Station, Blackland Research Center

Contact_Position: Research Scientist

Contact_Address:

Address_Type: mailing address

Address:

Texas Agricultural Experiment Station - Blackland Research Center 720 E Blackland rd

City: Temple

State_or_Province: TX

Postal_Code: 76502-6700

Country: USA

Contact_Voice_Telephone: (254)774-6100

Contact_Facsimile_Telephone: (254)774-6001

Contact_Electronic_Mail_Address: mdiluzio@brc.tamus.edu

Hours_of_Service: 8 am - 5 pm

Data_Set_Credit:

Mauro Di Luzio Blackland Research Center, Texas Agricultural Experiment Station, Texas A&M University System, Temple, Texas
Gregory L. Johnson United States Department of Agriculture Natural Resources Conservation Service, West National Technology Support Center, Portland, Oregon
Christopher Daly PRISM Group, Department of Geosciences, and College of Oceanographic and Atmospheric Sciences, Oregon State University, Corvallis, Oregon
Jon K. Eischeid Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, Colorado
Jeffrey G. Arnold Grassland Research Laboratory United States Department of Agriculture-Agricultural Research Service, Temple Texas.
Jan Curtis United States Department of Agriculture Natural Resources Conservation Service, West National Technology Support Center, Portland, Oregon

Security_Information:

Security_Classification_System: None

Security_Classification: Unclassified

Security_Handling_Description: None

Native_Data_Set_Environment: WINDOWS XP

Cross_Reference:

Citation_Information:

Originator:

Chris Daly and Wayne Gibson of the Spatial Climate Analysis Service at Oregon State University, George Taylor of the Oregon Climate Service at Oregon State University

Publication_Date: 200207

Title:

103-Year High-Resolution Temperature Climate Data Set for the Conterminous United States

Geospatial_Data_Presentation_Form: raster digital data

Publication_Information:

Publication_Place: Corvallis, Oregon, USA

Publisher: Spatial Climate Analysis Service, Oregon

Other_Citation_Details: <http://prism.oregonstate.edu/docs/meta/temp_103yr.htm>

Data_Quality_Information:

Logical_Consistency_Report:

National Weather Service Cooperative (COOP) TD3200 daily data were passed through QA/QC procedures developed at the National Climatic Data Center prior to creation of the TD3220 monthly temperature data. For further information, see <URL:http://www.ncdc.noaa.gov>
PRISM maps are documented in numerous conference proceedings and journal articles. The references can be found online at <URL:http://www.ocs.oregonstate.edu/prism/prism_new.html>.

Completeness_Report:

Statistically in-filled missing daily data to produce the used serially complete station data set and QA/QC is documented in: Eischeid, J.K., C.B. Baker, T.R. Karl, and H.F. Diaz, 1995: The quality control of long-term climatological data using objective data analysis. J. Appl. Meteor., 34, 2787-2795. Eischeid, P. A. Pasteris, H. F. Diaz, M. S. Plantico, and N. J. Lott, 2000: Creating a serially complete, national daily time series of temperature and precipitation for the Western United States. J. Appl. Meteor., 39,1580-1591.

Positional_Accuracy:

Horizontal_Positional_Accuracy:

Horizontal_Positional_Accuracy_Report:

As for PRISM maps, accuracy of this data set is based on the original specification of the Defense Mapping Agency (DMA) 1 degree digital elevation models (DEM). The stated accuracy of the original DEMs are 130 m circular error with 90% probability

Quantitative_Horizontal_Positional_Accuracy_Assessment:

Horizontal_Positional_Accuracy_Value: 130 m with 90%

Horizontal_Positional_Accuracy_Explanation: The broad DMA production objective for 1-degree DEM's.

Lineage:

Source_Information:

Source_Citation:

Citation_Information:

Originator: USDA-NRCS National Water and Climatic Center

Publication_Date: 20030101

Title:

serially complete, national daily time series of temperature and precipitation

Publication_Information:

Publication_Place: Portland,OR,USA

Publisher: National Water and Climatic Center

Type_of_Source_Media: digital files

Source_Time_Period_of_Content:

Time_Period_Information:

Range_of_Dates/Times:

Beginning_Date: 189501

Ending_Date: 200112

Source_Currentness_Reference: ground conditions

Source_Citation_Abbreviation: serially complete daily temperature

Source_Contribution: Location and values of known and estimated daily temperature.

Process_Step:

Process_Description:

the processes are documented in Eischeid, J.K., C.B. Baker, T.R. Karl, and H.F. Diaz, 1995: The quality control of long-term climatological data using objective data analysis. J. Appl. Meteor., 34, 2787-2795. Eischeid, J.K., P. A. Pasteris, H. F. Diaz, M. S. Plantico, and N. J. Lott, 2000: Creating a serially complete, national daily time series of temperature and precipitation for the Western United States. J. Appl. Meteor., 39,1580-1591.

Process_Date: 200310

Source_Information:

Source_Citation:

Citation_Information:

Originator:

Chris Daly and Wayne Gibson of the Spatial Climate Analysis Service at Oregon State University, George Taylor of the Oregon Climate Service at Oregon State University

Publication_Date: 200207

Title:

103-Year High-Resolution Temperature Climate Data Set for the Conterminous United States

Publication_Information:

Publication_Place: Corvallis, Oregon, USA

Publisher: Spatial Climate Analysis Service, Oregon

Type_of_Source_Media: digital files

Source_Time_Period_of_Content:

Time_Period_Information:

Range_of_Dates/Times:

Beginning_Date: 18950101

Ending_Date: 20011231

Source_Currentness_Reference:

Climatological period from which the point observations were taken

Source_Citation_Abbreviation: PRISM monthly average temperature maps

Source_Contribution:

Spatially distributed monthly average temperature Each file represents 1 month of 1 year for the period 1895-2001

Process_Step:

Process_Description:

Spatially distributed monthly and annual temperature. Each file represents 1 month of 1 year for the period 1895-2001. Distribution of the point measurements to a spatial grid was accomplished using the PRISM model, developed by Christopher Daly, Director, Spatial Climate Analysis Service, Oregon State University. Care should be taken in estimating temperature values at any single point on the map. Temperature estimated for each grid cell is an average over the entire area of that cell; thus, point temperature can be estimated at a spatial precision no better than half the resolution of a cell. For example, the temperature data were distributed at a resolution of approximately 4km. Therefore, point temperature can be estimated at a spatial precision no better than 2km. However, the overall distribution of temperature features is thought to be accurate. For further information, the online PRISM homepage can be found at <URL:http://www.ocs.oregonstate.edu/prism>. Further information on the current state of this project can be found at <URL:ftp://ftp.ncdc.noaa.gov/pub/data/prism100>
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/prism_new.html>.

Process_Date: 200207

Spatial_Data_Organization_Information:

Direct_Spatial_Reference_Method: Raster

Raster_Object_Information:

Raster_Object_Type: Grid Cell

Row_Count: 621

Column_Count: 1405

Vertical_Count: 1

Spatial_Reference_Information:

Horizontal_Coordinate_System_Definition:

Geographic:

Latitude_Resolution: 04166666666

Longitude_Resolution: 04166666666

Geographic_Coordinate_Units: Decimal Degrees

Planar:

Planar_Coordinate_Information:

Planar_Coordinate_Encoding_Method: row and column

Coordinate_Representation:

Abscissa_Resolution: 04166666666

Ordinate_Resolution: 04166666666

Geodetic_Model:

Horizontal_Datum_Name: World Geodetic Spheroid 1972 (WGS72)

Ellipsoid_Name: WGS72

Semi-major_Axis: 6378135.0

Denominator_of_Flattening_Ratio: 298.26

Entity_and_Attribute_Information:

Detailed_Description:

Entity_Type:

Entity_Type_Label: temperature grid cell value

Entity_Type_Definition: ASCII values

Entity_Type_Definition_Source: Self-evident

Attribute:

Attribute_Label: temperature grid cell value

Attribute_Definition: spatially gridded temperature

Attribute_Definition_Source:

Di Luzio M., G.L. Johnson, C. Daly, J. Eischeid, J.G. Arnold, Accepted. Constructing Retrospective Gridded Daily Precipitation and Temperature Datasets for the Conterminous United States. Journal of Applied Meteorology and Climatology.

Attribute_Domain_Values:

Unrepresentable_Domain:

Sequential unique whole numbers that are automatically generated.

Attribute:

Attribute_Label: Value

Attribute_Domain_Values:

Enumerated_Domain:

Enumerated_Domain_Value: -9999

Enumerated_Domain_Value_Definition: no data

Attribute_Domain_Values:

Range_Domain:

Attribute_Units_of_Measure: degrees Celsius*100

Overview_Description:

Distribution_Information:

Distributor:

Contact_Information:

Contact_Person_Primary:

Contact_Person: Jan Curtis

Contact_Organization:

United States Department of Agriculture - Natural Resources Conservation Service National Water and Climate Center

Contact_Address:

Address_Type: mailing address

Address:

Natural Resources Conservation Service National Water & Climate Center 1201 NE Lloyd Blvd., Suite 802

City: Portland

State_or_Province: Oregon

Postal_Code: 97232

Country: USA

Contact_Voice_Telephone: (503)414-3017

Contact_Facsimile_Telephone: (503) 414-3101

Contact_Electronic_Mail_Address: jan.curtis@por.usda.gov

Resource_Description: Downloadable data

Distribution_Liability:

This digital data set publication was prepared by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, make any warranty, expressed or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or misuse of the data, or for damage, transmission of viruses or computer contamination through the distribution of these data sets or for the usefulness of any information, apparatus, product, or process disclosed in this report, or represents that its use would not infringe privately owned rights. Reference therein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. Any views and opinions of authors expressed herein do not necessarily state or reflect those!

Standard_Order_Process:

Digital_Form:

Digital_Transfer_Information:

Format_Name: ASCII

Metadata_Reference_Information:

Metadata_Date: 20071001

Metadata_Contact:

Contact_Information:

Contact_Person_Primary:

Contact_Person: Mauro Di Luzio

Contact_Organization:

Texas Agricultural Experiment Station, Blackland Research Center

Contact_Organization_Primary:

Contact_Organization: Texas Agricultural Experiment Station Blackland Research Center

Contact_Person:

Contact_Position: Research Scientist

Contact_Address:

Address_Type: mailing address

Address:

Texas Agricultural Experiment Station - Blackland Research Center 720 E Blackland rd

City: Temple

State_or_Province: TX

Postal_Code: 76502-6700

Country: USA

Contact_Voice_Telephone: (254)774-6100

Contact_Facsimile_Telephone: (254)774-6001

Contact_Electronic_Mail_Address: mdiluzio@brc.tamus.edu

Hours_of_Service: 8 am - 5 pm

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

Generated by `mp` version 2.9.5 on Wed Oct 03 09:47:40 2007