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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 />DATA COLLECTION AND PROCESSING <br /> <br />2. Data Collection and Processing <br /> <br />RTi collected a large amount of data to support the project activities. All investigations were limited to <br />October 2003 to June 2008, the period for which SNODAS data are available. Table 2-1 presents a <br />summary of the collected data. <br /> <br />Table 2-1. Summary of Collected Data <br /> <br />Data Source(s) Data Type Data Description <br />NSlDC SNODAS data products SWE <br />NOHRSC Blowing snow sublimation <br /> Surface sublimation/condensation <br />CDSS Streamflow Observed daily flow volumes <br />NRCS Natural flow Monthly natural flow volumes for RIODELCO <br />NRCS Water supply forecast Seasonal forecasted (April-September) runoff volumes <br />NRCS SNOTEL SWE <br /> Soil moisture <br /> Temperature <br />FAA/NWS METAR Climate Wind speed <br /> Humidity <br />PRISM Climate Monthly precipitation grids <br /> <br />RTi obtained a complete historical record of daily SNODAS products from the National Snow and lee <br />Data Center ftp site (NSlDC 2008). Real-time data products for WY 2008 were received directly from <br />NOHRSC. RTi processed the SWE grids from SNODAS to obtain daily average SWE depths and <br />volumes for each index basin. The blowing snow sublimation and surface sublimation/condensation data <br />products were processed to ascertain the significance of these losses in the project area. <br /> <br />To quantify the discrepancies between the seasonal observed flow volumes and the water supply <br />forecasts, RTi collected observed flow volumes, natural flow volumes, and historical seasonal water <br />supply forecast volumes. RTi downloaded daily observed flow volumes from the Colorado Decision <br />Support System (CDSS) for the six key index gages (CODWR 2008). Monthly natural flow volumes for <br />RIODELCO for WY 1958-2005 were provided by the NRCS. RTi collected the historical water supply <br />forecasts from the basin outlook reports developed by the NRCS and the National Weather Service <br />(NRCS 2008). <br /> <br />RTi collected SWE, soil moisture, and temperature data at selected SNOTEL gages. SWE data were <br />collected for 22 gages around the project area, including the six gages utilized in the NRCS water supply <br />forecast equations (i.e., Lily Pond, Middle Creek, Molas Lake, Upper Rio Grande, Upper San Juan, Wolf <br />Creek Summit). The SNOTEL SWE data were used to compare against SNODAS SWE estimates and to <br />better understand the water supply forecasts developed by NRCS. Soil moisture data were collected at <br />the six SNOTEL stations in the project area that have soil moisture sensors installed (i.e., Lily Pond, Red <br />River Pass #2, Slumgullion, Upper Rio Grande, Upper San Juan, Wolf Creek Summit). RTi used the soil <br />moisture data to assess relative soil moisture conditions for recent years. Temperature data were collected <br />at five SNOTEL stations near the RIODELCO basin (i.e., Beartown, Middle Creek, Slumgullion, Upper <br />Rio Grande, Wolf Creek Summit) for estimating potential evapotranspiration (PET) rates. <br /> <br />Climate data for WY 2004-2008 were used in the water supply investigation. RTi processed monthly <br />precipitation grids from the Parameter-elevation Regressions on Independent Slopes Model (PRISM) to <br />obtain monthly precipitation values for each key index basin (PRISM Group 2008). PRISM data are <br />generally considered a reliable source for precipitation in mountainous regions with strong orographic <br /> <br />2 <br /> <br />~Riverside Technology, inc. <br />
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