Skip to main content
SimilarExport ZIP
100%

CSAT3 Components Responsive Line Chart

✓ Published1🌍 Public
DDonald Bagwell
Last edited Jul 1, 2024
Created on May 26, 2024

This responsive line chart visualizes the Uy_1 wind velocity component from a CSAT3 3-D sonic anemometer, plotting it against timestamps from the provided dataset. The visualization uses D3 scales and a line generator to draw the time series, with a gray inner rectangle framing the plotting area. It relies on `observeResize` from `@drbagwell/responsive-viz-axes` to adapt dimensions, while the `axes` module handles labeled axes for time and wind speed. The data file is imported from `@drbagwell/csat3-data-file`.

AI-generated description

Overview The CSAT3A 3-D Sonic Anemometer is the 3-D sonic anemometer of choice for eddy-covariance measurements. It has an aerodynamic design, a 10 cm vertical measurement path, operates in a pulsed acoustic mode, and withstands exposure to harsh weather conditions. Three orthogonal wind components (ux, uy, uz) and the speed of sound (c) are measured and output

https://www.campbellsci.com/csat3a

MIT Licensed

Similar vizzes

Loading thumbnail…

FFT with CSAT3

This visualization displays wind velocity data from a CSAT3 anemometer, plotting the Uy_1 component against the record number. The visualization processes 32,768 data points using a Fast Fourier Transform (FFT) to compute the frequency spectrum, then plots the original time-series data as a line chart. The code uses the `fft()` and `fftMag()` functions from the FFT utility library to calculate magnitudes, and `fftFreq()` to determine frequency bins. The visualization is rendered using D3's `scaleLinear`, `line`, and `extent` functions, with axes generated by the responsive-viz-axes library.

DDonald Bagwell
80% match
Loading thumbnail…

CSAT3 FFT

This visualization displays the power spectrum of wind speed data from the CSAT3A 3-D Sonic Anemometer. It uses a Fast Fourier Transform (FFT) to convert a 10-minute sample of the Uy wind component into frequency-domain magnitudes, plotted as decibels against frequency in Hertz. The custom FFT implementation computes the transform, and d3’s `scaleLinear`, `line`, and axes helper functions render the resulting spectrum on a gray plot area. Data comes from the `@drbagwell/csat3-data-file` package.

DDonald Bagwell
80% match
Loading thumbnail…

CSAT-3 single unit

This example displays the first row of a CSAT3 sonic anemometer dataset in raw JSON format, showing wind velocity components (Ux, Uy, Uz) and temperature (Ts) captured at a 20 Hz sampling rate. The code imports the data from a CSV file, converts numeric strings to numbers, and renders the first record as formatted text inside an HTML container using template literals and the `JSON.stringify` method. The data originates from a tower at McKellar Park in Memphis, Tennessee.

DDonald Bagwell
76% match
Loading thumbnail…

double sided FFT

This visualization demonstrates the results of a Fast Fourier Transform (FFT) applied to real-world wind data from a CSAT3 sonic anemometer, specifically the vertical wind component (Uy_1). It plots signal amplitude against frequency, revealing the dominant frequency peaks of the underlying sine wave patterns. The example uses a custom `FourierTransform` function to decompose the time-series data, then renders the results as a line chart with D3.js (v7.9.0). The `viz.js` module uses `scaleLinear`, `line`, and `extent` from D3 to create a line path, with axes and labels handled by the `@drbagwell/responsive-viz-axes` library. The data is visualized through a simple line mark, with a grey inner plot area and circular data points.

DDonald Bagwell
76% match
Loading thumbnail…

CSAT-3 @ 3 levels on 33 meter tall tower

This example displays a single row of raw atmospheric data from three CSAT3 sonic anemometers mounted at different heights on a 33-meter tower, showing wind velocity components (Ux, Uy, Uz) and temperature (Ts) for each level, along with diagnostic codes. The code loads the CSV using a data import, coerces each numeric field to a number, and then renders the first record as a formatted JSON object inside a `<pre>` element with a configurable font size.

DDonald Bagwell
74% match
Loading thumbnail…

Line Chart

This line chart displays wind speed measurements across the months of 2016, with each data point marked by a red circle that turns blue on hover. The chart uses D3.js v6 with an SVG rendering approach, loading CSV data from a GitHub gist. It applies d3.scaleLinear for both axes, d3.line to generate the path, and d3.csv for data ingestion, while axis ticks are built with d3.axisBottom and d3.axisLeft.

AAllen Ho
68% match
Loading thumbnail…

hmp155A Responsive Line Chart

This responsive line chart visualizes temperature readings from the HMP155A probe, supplied via the `@drbagwell/stat-moving-averages` dataset. The chart plots temperature (degC) against time (hours), rendering data as a single black line over a grey inner rectangle, with labeled axes. Built with D3 v7, it uses `scaleTime` and `scaleLinear` for scaling, `line` for path generation, and the `observeResize` and `axes` functions from `@drbagwell/responsive-viz-axes` to dynamically recompute dimensions and redraw on container resizing.

DDonald Bagwell
68% match
Loading thumbnail…

Fork of hmp155A Responsive Line Chart

This example visualizes temperature readings from the Vaisala HMP155A probe as a responsive line chart. It plots AirTC_1 values against time, using a gray background to delineate the plotting area. The chart uses `d3.scaleTime` for the x-axis and `d3.scaleLinear` for the y-axis, with the line generated via `d3.line`. It employs D3’s `select` and `join` for SVG construction, and the `observeResize` and `axes` functions from the `@drbagwell/responsive-viz-axes` library. Data is sourced from the `@drbagwell/hmp155a` package, which includes timestamped sensor measurements.

LLakshmi Keerthi
67% match