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In AQI Aquarius, Methods defines how hydrologic data is measured and calculated.

In this video series by Terry Kenney, Hydrologist at Aquatic Informatics, you’ll see how methods are applied across time series and field data to improve traceability, consistency, and confidence in your data.

Join us for a multi-part series starting with Introduction: Methods in the Aquarius Time Series followed by:

· Introduction: Methods in the Aquarius Time Series

· Aquarius Methods: Configuring Your System

· Aquarius Methods: Measured Time Series

· Aquarius Methods: Derived Time Series

· Aquarius Methods: Field Visit Readings

The entire series is less than 12 minutes long, each based on a how-to demo.

Aquarius: Methods Measured Time Series

A measured time series in AQI Aquarius is a continuously collected dataset that comes directly from an instrument, sensor, or manual observation source — such as water level (stage), temperature, precipitation, or water quality readings.

Unlike derived time series, which are calculated from other data (for example, discharge derived from stage using a rating curve), measured time series represent the original observed values collected in the field or from telemetry systems.

In this series

Under 12 minutes total

1

Methods in the Aquarius Time Series

In AQI Aquarius, ‘Methods’ defines how each parameter is collected or calculated.

2

Aquarius: Methods Field Visit Readings

Field visit readings in AQI Aquarius are the discrete, manually collected observations recorded during a site visit.

3

Aquarius: Methods Measured Time Series

A measured time series in AQI Aquarius is a continuously collected dataset.

4

Aquarius Methods: Derived Time Series

Derived time series in AQI Aquarius represent parameters—like discharge—that are calculated from measured data such as stage.

5

Aquarius Methods: Field Visit Readings

In this segment, Terry will look at the final place where measurement methods are assigned in AQI Aquarius—discrete readings from field visits.

Aquarius Methods: Derived Time Series

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