Metadata for Drought Severity Index for 2000-2011 from MODIS Metadata for Drought Severity Index for 2000-2011 from MODIS

Download full XML Metadata

Identification Information:

Citation:

Originator: Montana Climate Office
Publication date: 02/11/2015
Title: Drought Severity Index for 2000-2011 from MODIS
Online linkage: ftp://mco.cfc.umt.edu/dsi/Readme.html

Browse graphic file name: http://mco.cfc.umt.edu/images/MCODSIThumbnail.jpg
Browse graphic file description: Montana Climate OfficeDrought Severity Index graphic
Browse graphic file type: JPEG

Abstract:

This raster dataset shows yearly and mean MODIS Drought Severity Index with a grid cell resolution of 1000-meters (1-kilometer) for the years 2000-2011. The DSI ranges theoretically from unlimited negative values to unlimited positive values for respective dry to wet climate deviations from prevailing conditions. The remotely-sensed DSI uses operational global land products derived from NASA satellite observations, namely the MODIS terrestrial evapotranspiration (ET) and vegetation greenness products. ET is a metric of ecosystem functional status and is directly related to the water, carbon and energy cycles of the land surface. The ratio of ET to potential ET (PET) is commonly used as an indicator of terrestrial water availability and associated wetness or drought. Satellite vegetation greenness indices (VIs), especially the Normalized Difference VI (NDVI), can potentially link climate changes (e.g. increasing frequency and severity of drought) and vegetation responses with land-atmosphere water, carbon and energy fluxes, and associated climate feedbacks (Atkinson et al., 2011). The DSI incorporates NDVI and the ratio of ET to PET into a single index. This is an experimental product in development. Detailed information on the DSI can be found in Mu et al.(2013) available at http://ntsg.umt.edu/project/dsi.

Purpose:

As part of the MODIS global terrestrial evapotranspiration project, the goal of the Drought Severity Index (DSI) is to use satellite remote sensing data to monitor and detect drought on Earth's land surface. The DSI enhances near-real-time drought monitoring capabilities that can assist decision makers in regional drought assessment and mitigation efforts, but without many of the constraints of more traditional drought monitoring methods.

Supplemental information:

Processed from NetCDF raster file source using Python 2.7 code maintained by the Montana Climate Office.

Time period of content:

Beginning date: 01/01/2000
Beginning time: 000000
Ending date: 12/31/2011
Currentness reference:: The bounding rectangle for all 4th-code NRCS hydrologic units that intersect with the boundary of the State of Montana.

Status:

Progress: Complete
Maintenance and update frequency: As needed

Access constraints: None

Use constraints:

The Montana Climate Office (MCO) provides this product/service for informational purposes only. The MCO did not produce it for, nor is it suitable for legal, engineering, or surveying purposes. Consumers of this information should review or consult the primary data and information sources to ascertain the viability of the information for their purposes. The MCO provides these data in good faith but does not represent or warrant its accuracy, adequacy, or completeness. In no event shall the MCO be liable for any incorrect results or analysis; any direct, indirect, special, or consequential damages to any party; or any lost profits arising out of or in connection with the use or the inability to use the data or the services provided. The MCO makes these data and services available as a convenience to the public, and for no other purpose. The MCO reserves the right to change or revise published data and/or services at any time.

Point of contact:

State Climatologist
Director of Montana Climate Office
Montana Climate Office
32 Campus Drive
Missoula, Montana 59812-0576
Telephone: 406.243.6793
E-Mail: state.climatologist@umontana.edu

Point of contact:

Michael D. Sweet
Research and Information Systems Specialist
Montana Climate Office
32 Campus Drive
Missoula, Montana 59812-0576
Telephone: 406.243.5265
E-Mail: michael.sweet@umontana.edu

Data set credit:

The Numerical Terradynamic Simulation Group (NTSG) research laboratory at the University of Montana (http://ntsg.umt.edu) and the Montana Climate Office (http://climate.umt.edu/). A Remotely Sensed Global Terrestrial Drought Severity Index, Mu, Q., M. Zhao, J. S. Kimball, N. G. McDowell, S. W. Running (2013). Bulletin of the American Meteorological Society, 01/2013, Volume 94, Issue 1, Number 1, p.83.98, DOI:10.1175/BAMS-D-11-00213.1 (See full PDF at https://secure.ntsg.umt.edu/publications/2013/MZKMR13/Mu_etal_BAMS_2013.pdf.).

Data Quality Information:

Logical consistency report:

Value range resulting from bilinear transformation to Montana State Plane projection is within expected range. NoData values are assigned where they existed in the source representation.

Completeness report:

Number of NoData items with respect to the total number of NoData that should have been present

Lineage:

Process step:: DSI data is projected to Montana State Plane NAD83 is extracted to an area-of-interest (ftp://mco.cfc.umt.edu/resources/MCO/Area-of-Interest/BoundariesMSP.gdb/area-of-interest) defined by the Montana Climate Office to encompass all major sub-basins that intersect with Montana's border. The Esri ArcGIS Spatial Analyst ExtractByMask_sa method is used. For the extract method, the source is used as a snap raster to maintain alignment of the grid cells. Pyramids are built for the result using Esri ArcGIS BuildPyramids_management method.
Process step:: Source at http://ntsg.umt.edu/project/mod16 is programmatically downloaded and projected from NAD83 geographic coordinates to Montana State Plane NAD83 using the Esri ArcGIS ProjectRaster_management method. The method uses a bilinear transformation, with a raster cell size of 1000 meters, and registers the grid cell boundary at Montana State Plane coordinates [560648.266 436475.763].