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SCOPE OF DATA

SCOPE OF DATA. STREAM FLOW AND SOLUTE FLUXES Stream discharge gauging Stream water chemistry PRECIPITATION AND DEPOSITION NRCS Snow Survey and Snow Pillow Data National Atmospheric and Deposition Program. STUDY DESIGN AND STATUS OF DATA COLLECTION STUDY SITES.

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SCOPE OF DATA

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  1. SCOPE OF DATA • STREAM FLOW AND SOLUTE FLUXES • Stream discharge gauging • Stream water chemistry • PRECIPITATION AND DEPOSITION • NRCS Snow Survey and Snow Pillow Data • National Atmospheric and Deposition Program

  2. STUDY DESIGN AND STATUS OF DATA COLLECTION STUDY SITES

  3. STUDY DESIGN AND STATUS OF DATA COLLECTION HYDROLOGY • SPRING SNOW MELT • Manual measurements of stream discharge • CJ, PJ and PC • Spotty data record • SUMMER/AUTUMN • Pressure transducers and data loggers • Flumes - C2, C3, C4, P6 • Stream cross-sections - CJ, PJ, PC • Gauging requires weekly to bi-weekly measurement of stream discharge to develop rating curves (Q vs. stage height) • Stage height data logged every 15 minutes

  4. DATA AVAILABILITY HYDROLOGY • Data availability through BNZ data catalog: • C2 & C3: 1969 – 2007 (2008 40th year of collection) • ~Weekly 1969 – 1977 • 15 minute to hourly 1978 – present • C4: 1980 to 2007 • CJ, PJ and PC: 2005, 2006 & 2007 • Network wide databases: • C2, C3 and C4 available through • HYDRO-DB

  5. ANALYSIS AND PUBLICATION PLANS HYDROLOGY • Bolton et al. 2004 – Water balance (ET & Q) for C2, C3 and C4 from 1978 – 2003 (involved QA/QC historical data) • Hydrograph separation across years – Can we detect a change in source water contribution with loss of permafrost?

  6. STUDY DESIGN AND STATUS OF DATA COLLECTION STREAM CHEMISTRY • Sampling • C1, C2, C3, C4, P6, CJ, PJ and PC • Samples collected daily to biweekly during summer • Data from 2002 – present (6 years) • Grab samples during winter and snow-melt • Analyses • pH, conductivity • Cations (Ca2+, Mg2+, Na+, K+, NH4+) • Anions (NO3-, Cl-, SO4=) • Soluble reactive phosphorus (biweekly samples) • pCO2, pCH4 (biweekly samples) • Data availability through BNZ data catalog: • 2002 – 2005 posted • Network wide databases: • none

  7. ANALYSIS AND PUBLICATION PLANS STREAM CHEMISTRY • Fire effects on water chemistry (in preparation - Betts M.S. thesis ; planned submission spring 2008) • Watershed flowpaths and inorganic carbon exports (in preparation; planned submission spring 2008) • Watershed hydrology and nitrogen export (potential contribution to a BNZ special issue) Boundary Fire

  8. ??? STUDY DESIGN AND STATUS OF DATA COLLECTION NADP • Sampling • Wet deposition sample collected weekly • Continuous precipitation record • Data 1993 – present • Analyses • pH, Ca2+, Mg2+, Na+, K+, NH4+, NO3-, Cl-, SO4= • Data availability through BNZ data catalog: • link to NADP site • Suggest moving BNZ webpage link to a more prominent location

  9. ANALYSIS AND PUBLICATION PLANS NADP Seawater composition • Data have been used in several publications (e.g., Jones et al. 2005, Kane et al., in press) • No trends except Na+ and Cl-: suggestive of a shift in the prevailing origin of storms • Analyze chemistry data in conjunction with precipitation data

  10. STUDY DESIGN AND STATUS OF DATA COLLECTION NRCS SNOW SURVEY DATA • SNOW PILLOW • Continuous measurements of snow water equivalents • CPCRW: 1971 – present • BNZ: 1990 – present • SNOW SURVEYS • Conducted monthly • SNOW GAUGES • Currently most snow gauge data are not being fed into database • STATUS OF DATA AVAILABILITY • Available through NRCS website • Data should also be available through BNZ data catalog • Analyze snow gauge data and decide fate of collectors

  11. HYDROLOGY CORE DATASETS – SUMMARY • STREAM FLOW AND SOLUTE FLUXES • Potential publication contribution: Watershed hydrology and nitrogen export • PRECIPITATION AND DEPOSITION • Analyses: working group consider analyses that best integrate the various datasets (e.g., Na+ and Cl- NADP data with precipitation patterns/trends) • Post snow survey and snow pillow data on BNZ website • Create a more prominent link to NADP data • GENERAL COMMENTS • Reorganize data catalog and move long-term, core datasets to one page • With the long-term datasets, establish a relational database to provide easier integration of data to facilitate synthesis efforts (could be an internal database initially)

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