Archival precipitation data set for the Mississippi River Basin: Development of a GIS-based data browser

Brian R. Nelson; Witold F. Krajewski; Anton Kruger; James A. Smith; Mary Lynn Baeck

doi:10.1016/S0098-3004(03)00045-1

Archival precipitation data set for the Mississippi River Basin: Development of a GIS-based data browser

Brian R. Nelson, Witold F. Krajewski, Anton Kruger, James A. Smith, Mary Lynn Baeck

Research output: Contribution to journal › Article › peer-review

15 Scopus citations

Abstract

To aid in modeling studies over the Mississippi River Basin, we have developed an archival precipitation data set for the GEWEX Continental-Scale International Project. The data set spans from 1996-2000, a 5-year continuous period of record. Inputs for the data set are the National Reflectivity Composite that we obtained in Hierarchical Data Format. The size of the input data is 40 GB. In order to significantly reduce the size of the data set, we have developed an efficient data format that can be read from a disc faster than the input Hierarchical Data Format. We have also developed browsing tools for users of the data set. The data browser allows for fast and efficient viewing of the precipitation data and was produced using a common Geographic Information System software. Peripheral data are also included in the browser as an aid to the user.

Original language	English (US)
Pages (from-to)	595-604
Number of pages	10
Journal	Computers and Geosciences
Volume	29
Issue number	5
DOIs	https://doi.org/10.1016/S0098-3004(03)00045-1
State	Published - Jun 2003

All Science Journal Classification (ASJC) codes

Information Systems
Computers in Earth Sciences

Keywords

Data compression
Hierarchical data format (HDF)
Open GIS consortium (OGC)
Radar-reflectivity
Run length encoding (RLE)

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10.1016/S0098-3004(03)00045-1

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title = "Archival precipitation data set for the Mississippi River Basin: Development of a GIS-based data browser",

abstract = "To aid in modeling studies over the Mississippi River Basin, we have developed an archival precipitation data set for the GEWEX Continental-Scale International Project. The data set spans from 1996-2000, a 5-year continuous period of record. Inputs for the data set are the National Reflectivity Composite that we obtained in Hierarchical Data Format. The size of the input data is 40 GB. In order to significantly reduce the size of the data set, we have developed an efficient data format that can be read from a disc faster than the input Hierarchical Data Format. We have also developed browsing tools for users of the data set. The data browser allows for fast and efficient viewing of the precipitation data and was produced using a common Geographic Information System software. Peripheral data are also included in the browser as an aid to the user.",

keywords = "Data compression, Hierarchical data format (HDF), Open GIS consortium (OGC), Radar-reflectivity, Run length encoding (RLE)",

author = "Nelson, {Brian R.} and Krajewski, {Witold F.} and Anton Kruger and Smith, {James A.} and Baeck, {Mary Lynn}",

note = "Funding Information: We gratefully acknowledge the support of NOAA Office of Global Programs through grant NA96GP0417. Thanks are also due to C. Bryan Young of The University of Kansas for help with certain aspects of the GIS software. Finally, thanks are due to two anonymous reviewers for helpful comments that improved the paper. ",

year = "2003",

month = jun,

doi = "10.1016/S0098-3004(03)00045-1",

language = "English (US)",

volume = "29",

pages = "595--604",

journal = "Computers and Geosciences",

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T1 - Archival precipitation data set for the Mississippi River Basin

T2 - Development of a GIS-based data browser

AU - Nelson, Brian R.

AU - Krajewski, Witold F.

AU - Kruger, Anton

AU - Smith, James A.

AU - Baeck, Mary Lynn

N1 - Funding Information: We gratefully acknowledge the support of NOAA Office of Global Programs through grant NA96GP0417. Thanks are also due to C. Bryan Young of The University of Kansas for help with certain aspects of the GIS software. Finally, thanks are due to two anonymous reviewers for helpful comments that improved the paper.

PY - 2003/6

Y1 - 2003/6

N2 - To aid in modeling studies over the Mississippi River Basin, we have developed an archival precipitation data set for the GEWEX Continental-Scale International Project. The data set spans from 1996-2000, a 5-year continuous period of record. Inputs for the data set are the National Reflectivity Composite that we obtained in Hierarchical Data Format. The size of the input data is 40 GB. In order to significantly reduce the size of the data set, we have developed an efficient data format that can be read from a disc faster than the input Hierarchical Data Format. We have also developed browsing tools for users of the data set. The data browser allows for fast and efficient viewing of the precipitation data and was produced using a common Geographic Information System software. Peripheral data are also included in the browser as an aid to the user.

AB - To aid in modeling studies over the Mississippi River Basin, we have developed an archival precipitation data set for the GEWEX Continental-Scale International Project. The data set spans from 1996-2000, a 5-year continuous period of record. Inputs for the data set are the National Reflectivity Composite that we obtained in Hierarchical Data Format. The size of the input data is 40 GB. In order to significantly reduce the size of the data set, we have developed an efficient data format that can be read from a disc faster than the input Hierarchical Data Format. We have also developed browsing tools for users of the data set. The data browser allows for fast and efficient viewing of the precipitation data and was produced using a common Geographic Information System software. Peripheral data are also included in the browser as an aid to the user.

KW - Data compression

KW - Hierarchical data format (HDF)

KW - Open GIS consortium (OGC)

KW - Radar-reflectivity

KW - Run length encoding (RLE)

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ER -

Archival precipitation data set for the Mississippi River Basin: Development of a GIS-based data browser

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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