AQUARIUS Time-Series

Powerful Calculations & Visualizations

A powerful set of processing tools automate workflows and streamline data production. For example, AQUARIUS can mix data input sources, build sophisticated multi-input models, run rating curves, calculate daily aggregates, and automate notifications, and publishing in real-time.


Derive Statistics from Time Series & Visualize Meteorological Data

Calculating and reporting on statistical values that are derived from a time series can be done quickly. AQUARIUS Time-Series allows users to calculate a myriad of derived statistical summary values and to have these values form a new time series. Certain data types require special treatment when it comes to data visualization. Examples of these types of data are rainfall accumulations and intensities, as well as directional parameters such as wind. AQUARIUS Time-Series helps you visualize these types of data, for example, displaying wind direction and speed data in a wind rose chart.


Manage Parameters, Units, Methods & Grades

AQUARIUS Time-Series is designed to support data management best practices. All commonly measured environmental parameters and units are built in. SI and English units can be easily converted and new parameters can be added to facilitate conversions into other parameters through integration, aggregation, or rating curve transformations. Many computed parameters, such as total runoff and maximum rainfall intensity, require special data interpolation methods. Standard interpolation types are supported, including instantaneous values, total in preceding interval, discrete values, and accumulating values. This allows you to compute data even when values are sparse or need to be extrapolated to a boundary. AQUARIUS Time-Series also tracks time zones making it easy to manage networks of stations that span time zones.


Visualize Vertical Profile Datasets

Vertical profiles or soundings of a water body are often collected manually by performing casts with a sensor sonde, or they can be collected by automated sounding buoy platforms such as the YSI Vertical Profiler. Analysis of this type of data can provide answers to important questions such as the depth and magnitude of thermoclines, or the precise time at which water column turnover occurred. However, extracting this information from the large 3D datasets can be extremely difficult without the proper tools. The AQUARIUS Time-Series Profiling easily handles this type of data allowing you to focus on interpretation and analysis instead of data formatting and gridding.