1. CyAN (Cyanobacteria Assessment Network) Project Work Package 1: Field Data Collation/Interpretation Keith Loftin, USGS PI and WP1 team lead

2. CyAN Project and Objectives
Agency PI’s
Blake Schaeffer – EPA
Richard Stumpf – NOAA
Jeremy Werdell – NASA
Keith Loftin - USGS
Technical Approach
Remote Sensing
Uniform and systematic approach for identifying cyanobacteria blooms.
Strategy for evaluation and refinement of algorithms across platforms.
Environment
Identify landscape linkages causes of chlorophyll-a and cyanobacteria.
Health
Exposure and human health effects in drinking and recreational waters.
Economics
Behavioral responses and economic value of the early warning system.
Notifications
Bring the technology to EPA, states and tribal partners.

3. Work Package 1: Team Introduction
Robyn Conmy, US EPA
Jenny Lanning-Rush, USGS
Jennifer Graham, USGS
Keith Loftin, USGS, OGRL

4. Work Package 1: Goals
National cyanoHAB field and continuous water quality database for lakes, reservoirs, and estuaries.
Use QC data tiers and environmental health risk thresholds for algorithm development/calibration/validation.
Release of CyanoHAB database towards end of project with supporting information
National ecological synthesis and interpretation of cyanoHABs from field and continuous data.

5. Work Package 1 Timelines
FY 2016
FY 2017
FY 2018
FY 2019
FY 2020
Develop sampling wish list for collaborators x
Develop plan for requesting, managing and QA/QC field observation data from states, tribes, municipalities, and federal sources
Request field observation data
Create database for satellite product validation
Publications

6. FY16 Work Package 1 Timeline
1st QTR
Data dictionary for database
Data ingestion template
Design database
2nd QTR
Begin ingesting and processing data with focus on CA, FL, OH, and New England States (including historical data).
Finish database design and build relational architecture.
All states targeted in FY17, but will accept data now.
3rd QTR
Continue data ingestion and processing
Begin database export automation
4th QTR
Database refinement

7. Target Data
Natural and manmade lakes/ponds, coastal data (will be covered by EPA)
Temporal/spatial/profile datasets within same waterbody
Low, medium, and high concentrations for each variable needed:
Turbidity
Phytoplankton
Cyanotoxins
Pigments
Nutrients
Organic Matter – TOC, DOC, SUVA, CDOM, FDOM, water color

8. Highly Desired Data Sets
Phytoplankton (cyanobacteria)
Abundance
Relative Abundance
Biovolume
Pigments
Chlorophyll including pheophytin data
Phycocyanin
Cyanotoxins
Organic Matter – TOC, DOC, SUVA, CDOM, FDOM, Water Color
Particulates - Secchi Depth, Suspended Solids, turbidity
Want data sets with at least one of the highly desired parameters.

9. Sample Location Data Date/Time -
Latitude/Longitude – Continental United States
Sampling Depth – Prefer surface samples – integrated photic zone or shallower.
Sample Type (Grab, Composite, Depth Integrated, Width Integrated, Depth-Width Integrated)

10. General Water Quality Total Nitrogen (TN) Total Phosphorus (TP)
Dual purpose
QC of highly desired datasets and satellite data
Ecological interpretation in cyanoHAB context pH
Dissolved Oxygen (DO)
Conductivity
Surface Water Temperature
Nutrients – Support development of derived eutrophication/chlorophyll product.
Total Nitrogen (TN)
Total Phosphorus (TP)
Nutrient Species

11. Additional Data
Digital Field Pictures – Does field observation support data (QC), capture other interferences not captured by other field data measures (e.g. aquatic plant cover, etc.)

12. Data Sources USGS US EPA US ACE US BOR (need to contact)
US National Parks (have a contact)
US Fish and Wildlife (need to contact)
States (Rick – CA, FL, OH); Inland HAB Discussion group, ASDWA, etc.
Tribes – inland HAB discussion group, states, USGS/US EPA tribal liasons

13. Additional Details
Supporting (hopefully citeable) sample collection and laboratory methods documents.
Defined (formal) QA/QC plan.
Field and Laboratory QA/QC data
Blanks
Replicates
Spiked replicates
Calibration
Any caveats we should know about your data.

14. CyAN Early Warning System
Remote Sensing
Field Data

15. Work Package 1: Team Contact Info
Keith Loftin, USGS, Organic Geochemistry Research Laboratory (OGRL), Kansas Water Science Center, Lawrence, KS.
(office); (cell)
Additional Project information: