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The Aquatic Program at NEON Charlotte Roehm Assistant Director of Aquatics and STREON 06/22/2022 July 14 th 2014 http:// www.neoninc.org

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NEON aquatic design

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Page 1: NEON Aquatic program

04/12/2023

The Aquatic Program at NEONCharlotte Roehm

Assistant Director of Aquatics and STREON

July 14th 2014 http://www.neoninc.org

Page 2: NEON Aquatic program

Aquatic STREON Team

Page 3: NEON Aquatic program

Brandon McLaughlin – Aquatic Design Technician Jenna Stewart – Science Technician – Training and Databases Brandon Jensen – Associate Scientist - Permitting - Aquatic Ecologist Charles Bohall – Instrumentation Engineer - Hydrologist Jesse Vance – Instrumentation Engineer - Oceanographer Michael Fitzgerald – Groundwater Hydrologist - Engineer Keli Goodman - Aquatic Biogeochemist Stephanie Parker – Aquatic Ecologist Charlotte Roehm – Limnologist/Assistant Director Ryan Utz – STREON Aquatic Ecologist

Aquatic STREON Team

Page 4: NEON Aquatic program

Observing Ecological Change

• Representative sampling

• Standardized methods across domains

• Standardized and transparent protocols

• Continental in scope – distributed over 20 domains

• Detecting/attributing change over decades

• Comprehensive set of observations

• Field and lab analyses state-of-the-art

• QA/QC -- data quality and uncertainty

Page 5: NEON Aquatic program

NEON’s Scientific/Systems Engineering Approach

Environmental Science Questions(Hypothesis Based Questions)

Identify Needed Information(What are the Data Products?)

Science Requirements(Science Sub-System Requirements)

Technical and Design Requirements (e.g., for Engineering, CyberInfrastructure)

REQUIREMENTS

I NFORMA T I ON

Grand Challenge Science Questions

Raw Data Collection

Page 6: NEON Aquatic program

NEON Observation PlatformsAirborne Observations

Terrestrial Instruments

Terrestrial Observations

Aquatic Instruments & Observations

Page 7: NEON Aquatic program

Aquatic Program at NEON

36 Aquatic Sites

25 Wadeable Streams

3 Large Rivers

8 Lakes

10 STREON sites

*~2/3 of AQU sites co-located with terrestrial sites.

Aquatic Program at NEON

Page 8: NEON Aquatic program
Page 9: NEON Aquatic program

Aquatic Organismal & Biogeochemical Observations

Biomass

Species% Cover

AbundanceBiomassChemistry

AbundanceBiomassChemistry

BiogeochemistryEcohydrology

Pools/fluxes

Invertebrates

Phytoplankton

Aquatic Plants DiversityPhenologyDiversity

Diversity

Riparian

Microorganisms

Zooplankton

AbundanceBiomass

FishDensityDiversity

AbundanceDiversity

PhenologyDiversityAbundanceFunction Sediment

Chemistry

GroundwaterChemistry

Page 10: NEON Aquatic program

Stream Site Layout

Page 11: NEON Aquatic program

Lake Site Layout

Page 12: NEON Aquatic program

Site Layout Overview – STREON

Page 13: NEON Aquatic program

Chemistry – Isotopes/Dissolved gases– Surface water– Groundwater – Reaeration– Sediment

Biology– Riparian vegetation– Invertebrates– Aquatic Plants– Algae– Zooplankton– Fish– Microbes

Stream Discharge Morphology

In-stream/In lake– Pressure Transducers– Multisonde: Twater, DO, Turbidity,

pH, Conductivity, fDOM– Nutrient Analyzer (NO3-)– PAR (streams only) and PARu (lakes only)

Near-Stream/buoy – Micrometeorology– Tair, Precipitation, BP, PAR, Net Radiation– Wind speed and direction– Camera

Inlet/Outlet Lakes– Level, PARu, Temperature

Groundwater– Temperature, Level, Conductivity

Aquatic Measurements Observational ComponentInstrumentation Component

Page 14: NEON Aquatic program

Aquatic Microbial Measurements and Associated Data Products

Protocol Analysis Analyte Data ProductMicrobes (Water)

Genetic/Pathogen - Surface Water

16S/ITS rDNA

Taxonomic diversity indices for microbes

qpcr

Abundance of microbes

mRNA/functional assay

mRNA sequence data functional composition

DNA (metagenome)

DNA sequence data

Biomass (cell counts)

Quantitative abundance of different groups of microbes in surface water

Genetic/Pathogen - Benthic Biofilm

16S/ITS rDNA

Taxonomic diversity indices for microbes

qpcr

Abundance of microbes

mRNA/functional assay

mRNA sequence data functional composition

DNA (metagenome)

DNA sequence data

Biomass (cell counts)

Quantitative abundance of different groups of microbes in benthic samples

Microbes (Water) DNA Extract Museum Services

Page 15: NEON Aquatic program

Chemistry – Isotopes/dissolved gases 26 x/yr 12 x/yr – Surface water 26 x/yr 12 x/yr – Groundwater 2 x/yr 2 x/yr– Sediment Chemistry 3 x/yr 3 x/yr– Reaeration 6 x/yr NA

Biology– Riparian vegetation 1 x/yr 1 x/yr– Invertebrates 3 x/yr 3 x/yr– Aquatic Plants 3 x/yr 3 x/yr– Algae 3 x/yr 3 x/yr– Zooplankton NA 3 x/yr– Fish 2 x/yr 2 x/yr– Microbes 12 x/yr 6 x/yr

Stream Discharge 12 x/yr NA Morphology 1 x/yr 1 x/yr

Sampling FrequencyStreams Lakes

Page 16: NEON Aquatic program

Aquatic Sensors

• Thermometrics PRT Temperature• Gill - WindObserver II 2D Wind speed and direction• Viasala – PTB330 Barometric Pressure • Hukesflux – NR01 Net Radiation SW/LW IR• Kipp & Zonen PQS1 Above water PAR• StarDot Netcam SE Camera

• YSI Multisonde (EXO2) pH/ORP, water temperature, spec. conductivity, dissolved oxygen, turbidity, chlorophyll, fDOM

• Thermometrics PRT Water temperature • In-Situ LevelTroll 500 Water temperature, pressure (level)• Kipp & Zonen PQS-1 Above water PAR• Li-Cor LI-192SA Underwater PAR – 1 upward and 1 downward looking• Satlantic SUNA V2 Nutrient Analyzer NO3

• In-Situ AquaTROLL 200 Water Temperature, Pressure (level), Spec. Conductance• In-Situ LevelTROLL Water Temperature, Pressure (level)

Page 17: NEON Aquatic program

Arikaree River, CO

Prototype deployment

Aquatic Sensor Infrastructure Designs

Page 18: NEON Aquatic program

18ASLO Feb 20th 2013

Major AQU Tasks

SCI TEAMS, DPS, SYS ENG THROUGHOUT

• CVAL: Calibration/Validation Group• ENG: Engineering Team• CI: Cyberinfrastructure• IT: Information Technology• ATBD: Algorithm Theoretical Basis Document

Page 19: NEON Aquatic program

19ASLO Feb 20th 2013

Key AQU InterfacesDivision Key Interfaces

ENG/SYS ENG Assembly level requirements Capture, C^3, V+V test approaches, process

Permitting and Safety Safety, permitting, Soft Site Resolution

Science/Data Products Quality assurance; algorithm revision / development; support data product development; publications and community engagement

Calibration/Validation Design Traceability and Uncertainty approaches and processes; analyze results

Cyber-Infrastructure Algorithm Development and Data Management tools

Education & Outreach Provide scientific and technical support as needed

Page 20: NEON Aquatic program

• Standardized sensor sets and sampling methods to use at all sites

• Standardized temporal sampling strategy to use at all sites

• Continuous monitoring (sensors), consistent terminology

• Quantifying uncertainty, data quality standards, metadata standards

• Consistent QA/QC, verification, NIST traceable calibrations

Blacktail Deer Creek, WY

Challenges

Page 21: NEON Aquatic program

Science Validation

What is Science Commissioning?

Essential Function of Project Science Office

Crucial Coordination with Systems Engineering

Steve Berukoff

Page 22: NEON Aquatic program

22ASLO Feb 20th 2013

Thank You

QUESTIONS?

Page 23: NEON Aquatic program

What is Science Commissioning?• Science Commissioning & Validation (SCV)

– Ensure that a system that functions at an engineering level (SYE-accepted) moves to a system that meets the scientific requirements for • Robustness• Sensitivity• Uncertaintyas quantitatively traceable to higher-level science questions.

– Answers the question: “Does NEON’s as-built implementation satisfy its scientific goals?”

– Test• every measurement & data product against scientific design• within systems engineering framework• under schedule/budget/external deadlines

Steve Berukoff

Page 24: NEON Aquatic program
Page 25: NEON Aquatic program

PARTNERSHIP CLIMATECZ.1.07/2.4.00/31.0056

1. Science Requirements/Questions

2. Traceability of Measurements

3. Data Product Algorithms

4. Enviro-Informatics (e-infrastructures)

Extensibility - Science ScopeSpatial and Temporal InferenceEmergent Community PracticesUncertainty budgets

Community Best Practices“consistent and compatible”Joint data assimilation intercomparisonUncertainty budgets

Use of Recognized StandardsIntercomparisonsUncertainty budgets

Standards - Data FormatsStandards - Metadata formats Spatial and temporal reference tags**Controlled vocabularies

Interoperability– Information Infrastructure

PARTNERSHIP CLIMATECZ.1.07/2.4.00/31.0056