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Last modified
8/16/2009 2:30:22 PM
Creation date
6/12/2009 2:54:23 PM
Metadata
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Template:
Decision Support Systems
Title
FloodDSS Scope of Work
Decision Support - Doc Type
Scope of Work
Date
4/10/2009
DSS
Flood
Basin
Statewide
Contract/PO #
C154138
Bill Number
HB08-1346
Prepared By
Riverside Technology
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PROJECT APPROACH <br />SNOTEL - SM: UPPER RIO GRANDE (0007M16S) <br />40 <br />~ Vie, <br />,~ <br />35 <br />'~ '~~ f <br />30 ., • `.'ter-' <br />25 <br />20 <br />N 2004 <br />15 <br />2005 <br />10 ~ 2006 <br />2007 <br />5 <br />2008 <br />0 <br />Figure 4-5. Example Soil Moisture Data from SNOTEL May Aelp Indicate Runoff Potential and Flood <br />Threat <br />The RFP requests that three NOAA data sites be evaluated for integration with the Flood DSS: <br />• Meteorological Assimilation Data Ingest System (MADIS) <br />• National Digital Forecast Database (NDFD) <br />• FX-Collaborate (FXC) <br />The NOAA MADIS is a data flow system that ingests, integrates, quality controls, and <br />distributes hydrometeorological observations from NOAA and non-NOAA sources (http://www- <br />sdd.fsl.noaa.gov/MADIS Overview/MADIS Overview.html). Some of the datasets are <br />restricted for redistribution, while others are public. MADIS currently contains several datasets <br />that may be relevant to the Flood DSS, including hydrometeorological data from the National <br />Weather Service, Colorado Department of Transportation, and the Denver Urban Drainage and <br />Flood Control District, among other sources. MADIS is a flexible system that can collect data <br />from new sources based on user interest. Real-time data are updated every five minutes. <br />Historical data have been archived back to 2001. The data may be obtained in several ways, <br />including ftp, using free data management software, or through aText/XML Viewer web service. <br />During the data inventory, Riverside will evaluate in conjunction with the State of Colorado <br />whether the benefit from integrating these datasets warrants the system development costs. <br />Of the three NOAA data sites mentioned in the RFP, NDFD is likely to be the most easily <br />integrated into the Flood DSS. It includes a number of operational climate and outlook data <br />elements that are relevant to the Flood DSS (see Table 4-4). During the data inventory process, <br />Riverside will evaluate integrating gridded datasets from the NDFD, which are provided in <br />GRIB2 format. The data are updated hourly to an ftp and an http download site. For integration <br />with the Flood DSS, a process would need to be developed to download the data for the Central <br />Rockies region and process the data into a usable format for the State of Colorado. The data are <br />DNR RFP PDA-923 3~ R I V E R S I D E <br />
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