From Geoscience Australia

Cloudy with a chance of noise

ARCHIVED

Created 13/01/2025

Updated 13/01/2025

One annoying geodetic variable is a treasure trove of information to meteorologists. This talk will focus on a project in partnership with the BoM, RMIT and FrontierSI turned our estimates of the tropospheric delay in our GPS analysis into useful information for weather forecasting systems. The system works by measuring the time it takes GPS signals from satellites to reach ground receivers. Signals can be slightly delayed by moisture in the troposphere, causing what's known as a zenith total delay, so scientists measure this delay to assess air moisture While the technology could be applied almost anywhere, it is particularly valuable in a sparsely populated country like Australia where there is a lack of ground-based meteorological observation stations. Atmospheric water vapour is highly variable and non-linear in nature, yet it is important for accurate weather forecasting of storms. Having a direct observation from GPS provides an exciting opportunity for near and real-time weather forecasting systems.

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Field Value
Title Cloudy with a chance of noise
Language eng
Licence notspecified
Landing Page https://devweb.dga.links.com.au/data/dataset/a2feaabf-c035-46fd-bb09-88e1d12396d6
Contact Point
Geoscience Australia
clientservices@ga.gov.au
Reference Period 08/04/2019
Geospatial Coverage {"type": "Polygon", "coordinates": [[[112.0, -44.0], [154.0, -44.0], [154.0, -9.0], [112.0, -9.0], [112.0, -44.0]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "Cloudy with a chance of noise". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/cloudy-with-a-chance-of-noise

  • ARCHIVED

    Cloudy with a chance of noise

    Geoscience Australia

    One annoying geodetic variable is a treasure trove of information to meteorologists. This talk will focus on a project in partnership with the BoM, RMIT and FrontierSI turned...

    Dataset updated: 13/01/2025

No duplicate datasets found.