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SNODAS_Rio Grande_Report_Final
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SNODAS_Rio Grande_Report_Final
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Last modified
1/27/2010 11:13:01 AM
Creation date
7/2/2008 2:16:06 PM
Metadata
Fields
Template:
Weather Modification
Contract/Permit #
PO OE PDA 080000000125
Applicant
Riverside Technologies Incorporated
Sponsor Name
CWCB
Project Name
Adaptation of SNODAS for Water Supply Decisons in the Rio Grande Basin
Title
Adaptation of SNODAS for Water Supply Decisons in the Rio Grande Basin
Prepared For
CWCB
Prepared By
Riverside Technologies Incorporated
Date
6/30/2008
County
Hinsdale
Mineral
Rio Grande
Conejos
State
CO
Country
USA
Weather Modification - Doc Type
Report
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<br />gl-f0 17Cf(Jf.t; ( <br /> <br />"Adaptation of SNODAS for water supply decisions in the Rio Grande Basin" <br />Statement of Work for the Riverside Technology, inc. (RTi) <br />Project Sponsor - Colorado Water Conservation Board (CWCB) <br /> <br />Project Background: The Snow Data Assimilation System (SNODAS) is an experimental model recently developed <br />by the National Operational Hydrologic Remote Sensing Center (NOHRSC). SNODAS incorporates SNOTEL and <br />snow course data, satellite data, radar data and a numerical weather model to estimate snowpack spatially at a I-km <br />resolution for the entire United States. Outputs include snow depth, SWE, snowmelt at base of snowpack, and <br />sublimation. Combining all the different types of data input helps reduce errors and uncertainties related to each <br />component data set and provides spatially continuous rather than point data, ultimately providing an improved <br />assessment of snowpack. <br /> <br />Projcct Description: The CWCB, USBR, and RTi arc working together to analyze SNODAS data to see if there is <br />value added to water supply and flood forecasts. There is always a temporal gap between the April I snowpack and <br />the observed flow and index gages causes uncertainty in estimating streamflows. This pilot project will be to see if <br />there is value added from analyzing and displaying SNODAS data and data from other sources to track official water <br />supply forecasts from May I st through June 301h 2008. <br /> <br />Funding Source: <br />Funding Recipient: <br />Funding Request: <br />Total Funding: <br /> <br />CWCB Severance Tax 08 allocation <br />Riverside Technology, inc. <br />State of Colorado Purchase Order to Riverside Technology, inc. <br />$24,956 <br /> <br />Deliverablc: <br /> <br />Project Task Projcct Dcliverable Amount <br />Task I - Deliverable 1 $4.857 <br />data collection from 0 A vailable estimated natural flows from NRCS and DWR <br />NOHRSC and the Snow fee 0 Daily flows for gages in the project area with observations <br />Data Center. DWR, CWCB, during the analysis period <br />Rio Grande WCD, and NRCS 0 Forecasts from NRCS and NWS and observations of seasonal <br /> volume from WY2004-2008 for key index gages <br /> 0 Available soil moisture and snow water equivalent (SWE) data <br /> from SNOTEL stations in the project area <br /> 0 Daily snow water equivalent data grids from SNODAS in <br /> ArcGIS raster format clipped to the project area <br /> 0 PRISM monthly precipitation data. <br /> The analysis period will be October 2003 through June 2008. <br /> The project area will include the following key index gages: <br /> USGS 08220000 (Rio Grande near Del Norte CO) <br /> USGS 08220500 (Pinos Creek near Del Norte CO) <br /> USGS 08245000 (Conejos River blw Platoro Reservoir CO) <br /> USGS 08246500 (Conejos River near Mogote CO) <br /> USGS 08247500 (San Antonio River at Ortiz CO) <br /> USGS 08248000 (Los Pinos River near Ortiz CO) <br />Task 2 - analyze and display Deliverable 2a - Historical Data $10,145 <br />daily data collected \0 provide 0 Provide an Excel Spreadsheet with the historical forecasts, <br />cIata and mapping to DWR, natural flows, observed flows, SNOTEL SWE, SNOTEL soil <br />CWCB, NRCS, and Rio moisture data <br />Grande WCD 0 Monthly historical SNODAS maps for the I sl of the month for <br /> the analysis period and project area <br /> 0 Daily time series of SWE volume and percent volume <br />
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