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Coastal Use cases.html

by admin last modified Jun 07, 2010 02:40 PM

Specific Challenge Tasks

  1. Discovery: Discover Nitrogen concentration data to Kelp forest from Santa Barbara and Monterey that is outside the kelp forest but within 1km distance
    1. requires polygon/footprint for the kelp forest locations as input
    2. data can come from different sources (moorings, ship samples, AUV sample)
  2. Assessment: Determine if given data source can be used in particular method for estimating Nitrogen
    1. requires describing and matching constraints of the nitrogen estimation model of interest
  3. Integration: Create a derived data product that contains observations from each of the appropriate data sources with an estimate of Nitrogen delivery (mass per time vectors) at given scale X (space+time) for each kelp bed
    1. requires combining concentration data with current data to produce mass flow vectors
Next step: identify the data sets

 

{Pacific} Kelp Nitrogen budget: Overview of Use case steps

  1. Find distribution of kelp forests (of interest)
  2. Estimate terrrestrial N inputs
  3. Estimate ocean N inputs
  4. Estimate N sinks
  5. Calculate overall budget
  6. Compare budget effect in El Nino vs non El Nino years

 

Use Case 1: Estimate Nitrogen Input from streams into Kelp forest systems for Pacific Coast

  • Goal
    • Discover data that quantifies sources of Nitrogen in various kelp systems
    • Calculate a nitrogen budget for the system using historical data
  • Summary
  • Queries
    • Find distribution X of kelp beds on Pacific coast
    • Find data that quantifies nitrogen inputs from terrestrial sources into X
      • Stream output of nitrate (Nitrogen per minute at creek mouth)
    • Find data that quantifies ratio of nitrogen isotopes in plants to determine source of N as ocean vs terrestrial
  • Operations/Tasks
    • Integrate stream output data accounting for protocol differences in sampling regime at stream mouths
      • Determine if given data source can be used in particular method for estimating Nitrogen
      • Transform data for use in particular model to calculate Nitrogen
  • Data sets and associated metadata
    • Data on nitrogen (several forms: total N in water, total N in plant)
      • Observations (e.g., water bottle samples from cruises, samples from kelp plants, samples from watersheds)
      • Instrument measurements of Nitrogen
      • Modeled: nitrogen estimate based on models of nitrogen budgets
        • current, temperature
    • Kelp distribution
    • Data on delivery
    • Satellite data
      • color -- biomass
      • salinity
      • surface temperature
  • Metrics of completion/success

Use Case 2: Nitrogen Budget for Kelp forest systems for Pacific Coast

  • Goal
    • Discover data that quantifies sources of Nitrogen in various kelp systems
    • Calculate a nitrogen budget for the system using historical data
  • Summary
  • Queries
    • Find distribution X of kelp beds on Pacific coast
    • Find data that quantifies nitrogen inputs from terrestrial sources into X
      • Stream output of nitrate (Nitrogen per minute at creek mouth)
    • Find data that quantifies nitrogen inputs from ocean sources into X
    • Find data that quantifies uptake of nitrogen in Kelp, turf algae, and phytoplankton
      • Production rate at small scales extrapolated to whole bed and then region
      • Probably involves experimenta that estimate uptake rates under various conditions
    • Find data that quantifies ratio of nitrogen isotopes in plants to determine source of N as ocean vs terrestrial
  • Operations/Tasks
    • Integrate stream output data accounting for protocol differences in sampling regime at stream mouths
      • Determine if given data source can be used in particular method for estimating Nitrogen
      • Transform data for use in particular model to calculate Nitrogen
  • Data sets and associated metadata
    • Data on nitrogen (several forms: total N in water, total N in plant)
      • Observations (e.g., water bottle samples from cruises, samples from kelp plants, samples from watersheds)
      • Instrument measurements of Nitrogen
      • Modeled: nitrogen estimate based on models of nitrogen budgets
        • current, temperature
    • Kelp distribution
    • Data on delivery
    • Satellite data
      • color -- biomass
      • salinity
      • surface temperature
  • Metrics of completion/success

 

Use Case 3: Predict effects of El Nino on Nitrogen Budget for Kelp forest systems for Pacific Coast

  • Goal
    • Then predict nitrogen in Kelp in El Nino vs non-El Nino years (requires integration across data sources)
  • Data sets and associated metadata
    • What data can be used to define El Nino state?
      • Need historical classification of El Nino events according to some set of authorites

 ...

 

Use Case 4: Oceanography (for calibration purposes)

  • Description: User would like to get data from different platforms to compare different measurements on an area and time of interest. For example, to cross-calibrate instruments.
  • Queries: User requests data constrained by  parameter (e.g. sea Temperature, salinity, dissolved oxygen), time (start, end), geographic location (latitude / long bounding box), depth (min, max), procedure and event of interest. Procedures can be platforms, such as fixed platform (e.g. mooring),  a mobile platform (autonomous underwater vehicle ) and a remote platform (e.g. satellite). Procedures can also be a survey (such as a dive expedition). Event of interest is related to values of parameters. For example favorable upwelling conditions (winds at mooring SE at more than 5 m/s).
  • Data sets and associated metadata:
    • Mooring data in the Monterey Bay for water temperature via SOS getObservation response. ( includes metadata and data). More examples at the NDBC web site.
    • Autonomous underwater vehicle (AUV) 2009 missions from MBARI in NetCDF. Includes values for temperature, depth oxygen, nitrate, etc..
    • Sea Surface Temperature (SST) from NOAA satellites available at Coastwatch. More here.
    • Dive expeditions. Data link to be added.
  • Integration tasks: Display data from these different platform at the same time. Find when they overlap using radius of 5 KM and time < 4 hours, and depth < 10 m).

 

Other use cases

Urchin exclusion experiments on kelp growth rate

 

 

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