WINDPWR50_IN: Mean Wind Power at Height of 50 Meters above Ground, Derived from Mesoscale Atmospheric Simulation System and WindMap (TrueWind Solutions, 200-Meter Grid)

Metadata also available as - [Parseable text]

Metadata:


Identification_Information:
Citation:
Citation_Information:
Originator: TrueWind Solutions, LLC (data creator)
Originator: Michael Brower (data creator)
Originator: National Renewable Energy Laboratory (data creator)
Originator: Indiana Department of Commerce (data provider)
Originator: Indiana Geological Survey (metadata creator)
Originator: Denver Harper (metadata creator)
Originator: Chris Dintaman (metadata creator)
Publication_Date: 20070905
Title:
WINDPWR50_IN: Mean Wind Power at Height of 50 Meters above Ground, Derived from Mesoscale Atmospheric Simulation System and WindMap (TrueWind Solutions, 200-Meter Grid)
Edition: 1
Geospatial_Data_Presentation_Form: Raster digital data
Publication_Information:
Publication_Place: Bloomington, Indiana
Publisher: Indiana Geological Survey
Other_Citation_Details:
Brower, Michael, 2004, Wind energy resource maps of Indiana: unpublished report to the Indiana Department of Commerce prepared by TrueWind Solutions, LLC, 11 p.

The above unpublished report is included in the downloadable file for this layer as a PDF file named "IndianaWindMappingReport.pdf."

This raster layer is one of a set of six showing mean wind speeds and mean wind power at various heights above the ground. The six layers are named "WINDSPD30_IN," "WINDSPD50_IN," "WINDSPD70_IN," "WINDSPD100_IN," "WINDPWR50_IN," and "WINDPWR100_IN."

Online_Linkage: <http://igs.indiana.edu/arcims/statewide/download.html>
Description:
Abstract:
The following is excerpted from an unpublished report by Michael Brower (2004):

"Using the MesoMap system, TrueWind has produced maps of mean wind speed in Indiana for heights of 30, 50, 70, and 100 m above ground, as well as a map of wind power at 50 m. TrueWind has also produced data files of the predicted wind speed frequency distribution and speed and energy by direction. The maps and data files are provided on a CD with the ArcReader software, which will enable users to view, print, copy, and query the maps and wind rose data.

"The MesoMap system consists of an integrated set of atmospheric simulation models, databases, and computers and storage systems. At the core of MesoMap is MASS (Mesoscale Atmospheric Simulation System), a numerical weather model, which simulates the physics of the atmosphere. MASS is coupled to a simpler wind flow model, WindMap, which is used to refine the spatial resolution of MASS and account for localized effects of terrain and surface roughness. MASS simulates weather conditions over a region for 366 historical days randomly selected from a 15-year period. When the runs are finished, the results are input into WindMap. In this project, the MASS model was run on a grid spacing of 1.7 km and WindMap on a grid spacing of 200 m.

"The wind maps show that the best wind resource in Indiana is found in the northcentral part of the state. The mean wind speed at 50 m height between Indianapolis, Kokomo, and Lafayette, and to the northwest of Lafayette, is predicted to be in the range of 6.5 to 7 m/s, and the mean wind power is predicted to be about 250 to 350 W/m2, or NREL class 2 to 3. In the rest of northern Indiana, the wind speed tends to be around 0.5 m/s lower, and the wind power is a solid class 2. In southern Indiana, a wind speed of 4.5 to 6 m/s and a wind power class of 1 to 2 prevails. The main reason for this wind resource distribution pattern is that the land is much more forested in the southern half of the state than in the northern half. Topography also plays a role, as does the track of the jet stream."

Purpose:
The following is excerpted from an unpublished report by Michael Brower (2004):

"The Indiana Department of Commerce is interested in assessing the wind resource of Indiana and finding suitable sites for wind energy projects. Conventional field techniques of wind resource assessment can be time consuming, however, and often depend heavily on local meteorological expertise as well as the availability of reliable and representative wind measurements. Conventional wind flow models, on the other hand, have often proven inaccurate in complex wind regimes, and even in moderate terrain their accuracy can decline substantially with distance from the nearest available reference mast.

"Mesoscale-microscale modeling techniques offer a solution to these challenges. By combining a sophisticated numerical weather model capable of simulating large-scale wind patterns with a microscale wind flow model responsive to local terrain and surface conditions, they enable the mapping of wind resources over large regions with much greater accuracy than has been possible in the past. In addition, they do not require surface wind data to make reasonably accurate predictions. While on-site measurements are still required to confirm the predicted wind resource at any particular location, mesoscale-microscale modeling can greatly reduce the time and cost to identify and evaluate potential wind project sites.

"The objective of the current project was to use MesoMap to create high-resolution wind resource maps of Indiana and to provide wind resource data in a format enabling the Indiana Department of Commerce to assess potential sites in a GIS. These objectives have been met. In the following sections, we describe the MesoMap system and mapping process in detail; how MesoMap was applied in this project; the validation process and results; the final wind maps and data files; and guidelines for the use of the maps."

Supplemental_Information:
The following is excerpted from an unpublished report by Michael Brower (2004):

"The MesoMap system has three main components: models, databases, and computer systems.

"At the core of the MesoMap system is MASS (Mesoscale Atmospheric Simulation System), a numerical weather model that has been developed over the past 20 years by TrueWind partner MESO, Inc., both as a research tool and to provide commercial weather forecasting services. MASS simulates the fundamental physics of the atmosphere including conservation of mass, momentum, and energy, as well as the moisture phases, and it contains a turbulent kinetic energy module that accounts for the effects of viscosity and thermal stability on wind shear. As a dynamical model, MASS simulates the evolution of atmospheric conditions in time steps as short as a few seconds. This creates great computational demands, especially when running at high resolution. Hence MASS is usually coupled to a simpler but much faster program, WindMap, a mass-conserving wind flow model. Depending on the size and complexity of the region and requirements of the client, WindMap is used to improve the spatial resolution of the MASS simulations to account for the local effects of terrain and surface roughness variations.

"The MASS model uses a variety of online, global, geophysical and meteorological databases. The main meteorological inputs are reanalysis data, rawinsonde data, and land surface measurements. The reanalysis database – the most important – is a gridded historical weather data set produced by the US National Centers for Environmental Prediction (NCEP) and National Center for Atmospheric Research (NCAR). The data provide a snapshot of atmospheric conditions around the word at all levels of the atmosphere in intervals of six hours. Along with the rawinsonde and surface data, the reanalysis data establish the initial conditions as well as updated lateral boundary conditions for the MASS runs. The MASS model itself determines the evolution of atmospheric conditions within the region based on the interactions among different elements in the atmosphere and between the atmosphere and the surface. Because the reanalysis data are on a relatively coarse, 200 km grid, MASS is run in several nested grids of successfuly finer mesh size, each taking as input the output of the previous nest, until the desired grid scale is reached. This is to avoid generating noise at the boundaries that can result from large jumps in grid cell size. The outermost grid typically extends several thousand kilometers.

"The main geophysical inputs are elevation, land cover, vegetation greenness (normalized differential vegetation index, or NDVI), soil moisture, and sea-surface temperatures. The global elevation data normally used by MesoMap were produced by the US Geological Survey in a gridded digital elevation model, or DEM, format from a variety of data sources.1 The US Geological Survey, the University of Nebraska, and the European Commission’s Joint Research Centre (JRC) produced the global land cover data in a cooperative project. The land cover classifications are derived from the interpretation of Advanced Very High Resolution Radiometer (AVHRR) data – the same data used to calculate the NDVI. The model translates both land cover and NDVI data into physical parameters such as surface roughness, albedo, and emissivity. The nominal spatial resolution of all of these data sets is 1 km. Thus, the standard output of the MesoMap system is a 1 km gridded wind map. However, much higher resolution maps can be produced where the necessary topographical and land cover data are available. In the United States, the resolution is typically 100 to 400 m.

"The MesoMap system creates a wind resource map in several steps. First, the MASS model simulates weather conditions over 366 days selected from a 15-year period. The days are chosen through a stratified random sampling scheme so that each month and season is represented equally in the sample; only the year is randomized. Each simulation generates wind and other weather variables (including temperature, pressure, moisture, turbulent kinetic energy, and heat flux) in three dimensions throughout the model domain, and the information is stored at hourly intervals. When the runs are finished, the results are compiled into summary data files, which are then input into the WindMap program for the final mapping stage. The two main products are usually (1) color-coded maps of mean wind speed and power density at various heights above ground and (2) data files containing wind speed and direction frequency distribution parameters. The maps and data can then be compared with land and ocean surface wind measurement, and if significant discrepancies are observed, adjustments to the wind maps can be made."

Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 20040315
Currentness_Reference: Data publication date
Status:
Progress: Complete
Maintenance_and_Update_Frequency: None planned
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -88.687570
East_Bounding_Coordinate: -84.223033
North_Bounding_Coordinate: 42.086677
South_Bounding_Coordinate: 37.434122
Keywords:
Theme:
Theme_Keyword_Thesaurus: Metadata Service Keyword Thesaurus
Theme_Keyword: energy
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: Indiana Geological Survey (IGS)
Theme_Keyword: National Renewable Energy Laboratory (NREL)
Theme_Keyword: TrueWind Solutions
Theme_Keyword: Indiana Department of Commerce
Theme_Keyword: MesoMap
Theme_Keyword: atmosphere
Theme_Keyword: atmospheric simulation
Theme_Keyword: alternative energy
Theme_Keyword: wind map
Theme_Keyword: wind energy
Theme_Keyword: wind speed
Theme_Keyword: wind resource
Theme_Keyword: wind power
Theme_Keyword: wind
Theme_Keyword: Geographic Information System (GIS)
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: Indiana
Place_Keyword: Adams County
Place_Keyword: Allen County
Place_Keyword: Bartholomew County
Place_Keyword: Benton County
Place_Keyword: Blackford County
Place_Keyword: Boone County
Place_Keyword: Brown County
Place_Keyword: Carroll County
Place_Keyword: Cass County
Place_Keyword: Clark County
Place_Keyword: Clay County
Place_Keyword: Clinton County
Place_Keyword: Crawford County
Place_Keyword: Daviess County
Place_Keyword: Dearborn County
Place_Keyword: Decatur County
Place_Keyword: Dekalb County
Place_Keyword: Delaware County
Place_Keyword: Dubois County
Place_Keyword: Elkhart County
Place_Keyword: Fayette County
Place_Keyword: Floyd County
Place_Keyword: Fountain County
Place_Keyword: Franklin County
Place_Keyword: Fulton County
Place_Keyword: Gibson County
Place_Keyword: Grant County
Place_Keyword: Greene County
Place_Keyword: Hamilton County
Place_Keyword: Hancock County
Place_Keyword: Harrison County
Place_Keyword: Hendricks County
Place_Keyword: Henry County
Place_Keyword: Howard County
Place_Keyword: Huntington County
Place_Keyword: Jackson County
Place_Keyword: Jasper County
Place_Keyword: Jay County
Place_Keyword: Jefferson County
Place_Keyword: Jennings County
Place_Keyword: Johnson County
Place_Keyword: Knox County
Place_Keyword: Kosciusko County
Place_Keyword: Lagrange County
Place_Keyword: Lake County
Place_Keyword: LaPorte County
Place_Keyword: Lawrence County
Place_Keyword: Madison County
Place_Keyword: Marion County
Place_Keyword: Marshall County
Place_Keyword: Martin County
Place_Keyword: Miami County
Place_Keyword: Monroe County
Place_Keyword: Montgomery County
Place_Keyword: Morgan County
Place_Keyword: Newton County
Place_Keyword: Noble County
Place_Keyword: Ohio County
Place_Keyword: Orange County
Place_Keyword: Owen County
Place_Keyword: Parke County
Place_Keyword: Perry County
Place_Keyword: Pike County
Place_Keyword: Porter County
Place_Keyword: Posey County
Place_Keyword: Pulaski County
Place_Keyword: Putnam County
Place_Keyword: Randolph County
Place_Keyword: Ripley County
Place_Keyword: Rush County
Place_Keyword: Scott County
Place_Keyword: Shelby County
Place_Keyword: Spencer County
Place_Keyword: Starke County
Place_Keyword: Steuben County
Place_Keyword: St Joseph County
Place_Keyword: Sullivan County
Place_Keyword: Switzerland County
Place_Keyword: Tippecanoe County
Place_Keyword: Tipton County
Place_Keyword: Union County
Place_Keyword: Vanderburgh County
Place_Keyword: Vermillion County
Place_Keyword: Vigo County
Place_Keyword: Wabash County
Place_Keyword: Warren County
Place_Keyword: Warrick County
Place_Keyword: Washington County
Place_Keyword: Wayne County
Place_Keyword: Wells County
Place_Keyword: White County
Place_Keyword: Whitley County
Access_Constraints:
This file is available to anyone, but access may be contingent on written request, specific terms relevant to the agency or person making the request, and/or current freedom of information statutes in the state of Indiana.
Use_Constraints:
CREDIT

It is required that the Indiana Geological Survey be cited in any products generated from this data. The following source citation must be included: WINDPWR50_IN: Mean Wind Power at Height of 50 Meters above Ground, Derived from Mesoscale Atmospheric Simulation System and WindMap (TrueWind Solutions, 200-Meter Grid).

WARRANTY

Indiana University, Indiana Geological Survey warrants that the media on which this product is stored will be free from defect in materials and workmanship for ninety (90) days from the date of acquisition. If such a defect is found, return the media to Publication Sales, Indiana Geological Survey, 611 North Walnut Grove, Bloomington, Indiana 47405 2208, and it will be replaced free of charge.

LIMITATION OF WARRANTIES AND LIABILITY

Except for the expressed warranty above, the product is provided "AS IS", without any other warranties or conditions, expressed or implied, including, but not limited to, warranties for product quality, or suitability to a particular purpose or use. The risk or liability resulting from the use of this product is assumed by the user. Indiana University, Indiana Geological Survey shares no liability with product users indirect, incidental, special, or consequential damages whatsoever, including, but not limited to, loss of revenue or profit, lost or damaged data or other commercial or economic loss. Indiana University, Indiana Geological Survey is not responsible for claims by a third party. The maximum aggregate liability to the original purchaser shall not exceed the amount paid by you for the product.

Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: Indiana Geological Survey
Contact_Address:
Address_Type: Mailing and physical address
Address: 611 North Walnut Grove
City: Bloomington
State_or_Province: Indiana
Postal_Code: 47405 2208
Country: USA
Contact_Voice_Telephone: 812 855 7636
Contact_Facsimile_Telephone: 812 855 2862
Contact_Electronic_Mail_Address: IGSinfo@indiana.edu
Hours_of_Service: 0800 to 1700 Eastern Standard Time
Contact_Instructions: Monday through Friday, except holidays
Native_Data_Set_Environment:
Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI ArcCatalog 9.1.0.780, ESRI raster grid, 20.1 MB.

Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
The following is excerpted from an unpublished report by Michael Brower (2004):

"In collaboration with the National Renewable Energy Laboratory, TrueWind subsequently validated the wind maps using data from 22 stations. The data were first extrapolated to a height of 50 m. The predicted wind speeds are on average about 0.3 m/s higher than the observed/extrapolated speeds. The root-mean-square discrepancy is 0.6 m/s, or about 10% of the average of all the stations. After accounting for uncertainty in the data, we estimated the map error margin (one sigma) to be 0.5 m/s, or 8.5%. The error margin in meters/second is comparable to that obtained in other MesoMap projects, but in percentage terms it is somewhat larger than usual. This is mainly because of the moderate average speed (5.9 m/s at 50 m) of the Indiana stations. In addition, the validation sample includes data from five stations which have rather low mean speeds compared to other stations in their vicinity. If these stations are excluded, the mean bias becomes 0.1 m/s, and the rms discrepancy becomes 0.4 m/s, or 6%, which is comparable to the error margin of the data.

"While the validation confirmed the overall accuracy of the maps, it also revealed some areas where MesoMap appears to have either underestimated or overestimated the wind resource to a moderate degree. With the agreement of NREL, we adjusted the predicted wind speed and power in parts of central and southwestern Indiana."

See the file "IndianaWindMappingReport.pdf" for additional information.

Logical_Consistency_Report: Not available
Completeness_Report: Not available
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report:
See the file "IndianaWindMappingReport.pdf" for information regarding accuracy.
Vertical_Positional_Accuracy:
Vertical_Positional_Accuracy_Report:
See the file "IndianaWindMappingReport.pdf" for information regarding accuracy.
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator: TrueWind Solutions, LLC, and Indiana Department of Commerce
Publication_Date: 20040315
Title: Wind energy resource maps
Geospatial_Data_Presentation_Form: Raster digital data
Publication_Information:
Publication_Place: Albany, New York
Publisher: AWS TrueWind, LLC
Online_Linkage: <http://www.awstruewind.com/inner/windmaps/Indiana.htm>
Type_of_Source_Media: Online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 20040315
Source_Currentness_Reference: Data publication date
Source_Citation_Abbreviation:
Six raster layers - "WINDSPD30_IN," "WINDSPD50_IN," "WINDSPD70_IN," "WINDSPD100_IN," "WINDPWR50_IN," and "WINDPWR100_IN"
Source_Contribution:
Six raster layers showing mean wind speeds and mean wind power at various heights above the ground.

Process_Step:
Process_Description:
Personnel of the Indiana Geological Survey received six raster layers from Paul Cummings of the Indiana Department of Commerce. The six layers were renamed to match naming standards of the Indiana Geological Survey. The layers were reprojected from GCS WGS 1984 to Universal Transverse Mercator (UTM), Zone 16, NAD83.
Source_Used_Citation_Abbreviation:
in_spd30m, in_spd50m, in_spd70m, in_spd100m, in_pwr50m, in_pwr100m
Process_Date: 20070905
Source_Produced_Citation_Abbreviation:
WINDSPD30_IN, WINDSPD50_IN, WINDSPD70_IN, WINDSPD100_IN, WINDPWR50_IN, WINDPWR100_IN
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Organization: Indiana Geological Survey
Contact_Person: Chris Dintaman
Contact_Position: Geologist/GIS Specialist
Contact_Address:
Address_Type: Mailing and physical address
Address: 611 North Walnut Grove
City: Bloomington
State_or_Province: Indiana
Postal_Code: 47405 2208
Country: USA
Contact_Voice_Telephone: 812 856 5654
Contact_Facsimile_Telephone: 812 855 2862
Contact_Electronic_Mail_Address:
cdintama@indiana.edu Contact_Website: <http://igs.indiana.edu/>
Hours_of_Service: 0800 to 1700 Eastern Standard Time
Contact_Instructions: Monday through Friday, except holidays

Process_Step:
Process_Description:
This metadata was pre-parsed and parsed using CNS (Chew and Spit v 2.6.1) and MP (Metadata Parser v 2.7.1) software written by Peter N. Schweitzer (U.S. Geological Survey). The errors generated by MP were all addressed and corrected.
Process_Date: 20070905
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Organization: Indiana Geological Survey
Contact_Person: Chris Dintaman
Contact_Position: GIS Specialist/Geologist
Contact_Address:
Address_Type: Mailing and physical address
Address: 611 North Walnut Grove
City: Bloomington
State_or_Province: Indiana
Postal_Code: 47405-2208
Country: USA
Contact_Voice_Telephone: 812-856-5654
Contact_Facsimile_Telephone: 812-855-2862
Contact_Electronic_Mail_Address: cdintama@indiana.edu
Hours_of_Service: 0800 - 1700 Eastern Standard Time
Contact_Instructions: Monday - Friday, except holidays


Spatial_Data_Organization_Information:
Indirect_Spatial_Reference: Indiana
Direct_Spatial_Reference_Method: Raster
Raster_Object_Information:
Raster_Object_Type: Grid Cell
Row_Count: 2566
Column_Count: 1847


Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Grid_Coordinate_System:
Grid_Coordinate_System_Name: Universal Transverse Mercator
Universal_Transverse_Mercator:
UTM_Zone_Number: 16
Transverse_Mercator:
Scale_Factor_at_Central_Meridian: 0.999600
Longitude_of_Central_Meridian: -87.000000
Latitude_of_Projection_Origin: 0.000000
False_Easting: 500000.000000
False_Northing: 0.000000
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: Coordinate pair
Coordinate_Representation:
Abscissa_Resolution: 0.001024
Ordinate_Resolution: 0.001024
Planar_Distance_Units: Meters
Geodetic_Model:
Horizontal_Datum_Name: North American Datum of 1983
Ellipsoid_Name: Geodetic Reference System 80
Semi-major_Axis: 6378137.000000
Denominator_of_Flattening_Ratio: 298.257222


Entity_and_Attribute_Information:
Detailed_Description:
Entity_Type:
Entity_Type_Label: WINDPWR50_IN.VAT
Entity_Type_Definition: GRID Value Attribute Table
Entity_Type_Definition_Source: None
Attribute:
Attribute_Label: VALUE
Attribute_Definition: Mean wind-power density at a height of 50 meters above ground
Attribute_Definition_Source: TrueWind Solutions
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 46
Range_Domain_Maximum: 504
Attribute_Units_of_Measure: Watts per square meter


Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: Indiana Geological Survey
Contact_Person: Publication Sales
Contact_Position: Clerk
Contact_Address:
Address_Type: Mailing and physical address
Address: 611 North Walnut Grove
City: Bloomington
State_or_Province: Indiana
Postal_Code: 47405 2208
Country: USA
Contact_Voice_Telephone: 812 855 7636
Contact_Facsimile_Telephone: 812 855 2862
Contact_Electronic_Mail_Address: IGSinfo@indiana.edu
Hours_of_Service: 0800 to 1700 Eastern Standard Time
Contact_Instructions: Monday through Friday, except holidays

Resource_Description: Downloadable data

Distribution_Liability:
CREDIT

It is required that the Indiana Geological Survey be cited in any products generated from this data. The following source citation must be included: WINDPWR50_IN: Mean Wind Power at Height of 50 Meters above Ground, Derived from Mesoscale Atmospheric Simulation System and WindMap (TrueWind Solutions, 200-Meter Grid).

WARRANTY

Indiana University, Indiana Geological Survey warrants that the media on which this product is stored will be free from defect in materials and workmanship for ninety (90) days from the date of acquisition. If such a defect is found, return the media to Publication Sales, Indiana Geological Survey, 611 North Walnut Grove, Bloomington, Indiana 47405 2208, and it will be replaced free of charge.

LIMITATION OF WARRANTIES AND LIABILITY

Except for the expressed warranty above, the product is provided "AS IS", without any other warranties or conditions, expressed or implied, including, but not limited to, warranties for product quality, or suitability to a particular purpose or use. The risk or liability resulting from the use of this product is assumed by the user. Indiana University, Indiana Geological Survey shares no liability with product users indirect, incidental, special, or consequential damages whatsoever, including, but not limited to, loss of revenue or profit, lost or damaged data or other commercial or economic loss. Indiana University, Indiana Geological Survey is not responsible for claims by a third party. The maximum aggregate liability to the original purchaser shall not exceed the amount paid by you for the product.


Metadata_Reference_Information:
Metadata_Date: 20070905
Metadata_Review_Date: 20070905
Metadata_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Organization: Indiana Geological Survey
Contact_Person: Denver Harper
Contact_Position: Geologist/GIS Specialist
Contact_Address:
Address_Type: Mailing and physical address
Address: 611 North Walnut Grove
City: Bloomington
State_or_Province: Indiana
Postal_Code: 47405 2208
Country: USA
Contact_Voice_Telephone: 812 855 1369
Contact_Facsimile_Telephone: 812 855 2862
Contact_Electronic_Mail_Address:
dharper@indiana.edu Contact_Website: <http://igs.indiana.edu/>
Hours_of_Service: 0800 to 1700 Eastern Standard Time
Contact_Instructions: Monday through Friday, except holidays
Metadata_Standard_Name: FGDC-CSDGM
Metadata_Standard_Version: FGDC-STD-001-1998
Metadata_Access_Constraints: None
Metadata_Use_Constraints:
This metadata file is intended to accompany the data set identified and received from the IGS. It is not to be altered or summarized. IGS does not support secondary distribution. If this data set was received from anyone other than the IGS, this metadata file and the data set it describes may lack integrity.

Generated by mp version 2.7.1 on Fri Oct 12 11:29:08 2007