Data Trawler - Project details

Project details

Title:
The Pacific Ocean physical, biogeochemical and biological environmental diversity: Tropics to Pole evolution (P-TROPOE)
Id:
2679
Acronym:
P-TROPOE
Investigator(s):
Bernadette Sloyan
CSIRO Environment [details]

Beatriz Pena-Molino
CSIRO Environment [details] Laura Herraiz Borreguero
CSIRO Environment [details]

Description:
The voyage will undertake multidisciplinary, full-depth physical, biogeochemical, and biological measurements to identify and quantify the key processes driving changes in the ocean’s environmental properties and biological systems; provide new insights into the interactive relationships that exist among physical, biogeochemical, and biological environments from pole to equator and surface to deep ocean, including the identification of potential tipping points and major disruptors; and extend high-precision baseline data sets used to calibrate autonomous observations such as floats, gliders, moorings, and satellites, as well as to improve Earth system models.

These data, combined with other observational data and numerical models, will allow for the detection and attribution of ocean change and for more reliable climate predictions and projections. These predictions are used to guide adaptation and mitigation policy, critically needed by Australia and Pacific Island nations.
Years:
2026

List of surveys that this project was on.

Use [details] link to view survey details (map, reports, metadata etc) including links to download data.

Survey InvestigatorDescription
IN2026_V06
[details]
Bernadette Sloyan The voyage will undertake multidisciplinary, full-depth physical, biogeochemical, and biological measurements to identify and quantify the key processes driving changes in the ocean’s environmental properties and biological systems; provide new insights into the interactive relationships that exist among physical, biogeochemical, and biological environments from pole to equator and surface to deep ocean, including the identification of potential tipping points and major disruptors; and extend high-precision baseline data sets used to calibrate autonomous observations such as floats, gliders, moorings, and satellites, as well as to improve Earth system models.

These data, combined with other observational data and numerical models, will allow for the detection and attribution of ocean change and for more reliable climate predictions and projections. These predictions are used to guide adaptation and mitigation policy, critically needed by Australia and Pacific Island nations.