Metadata also available as
Identification_Information:
Citation:
Citation_Information:
Originator:
Mauro Di Luzio,
Publication_Date: 200710
Title:
Seamless Daily Minimum Temperature
for the Conterminous
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
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
Geospatial_Data_Presentation_Form: raster digital data
Publication_Information:
Publication_Place:
Publisher: Spatial Climate
Analysis Service,
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
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
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