Data

Impacts of small scale tropsophere variability on SWOT satellite

University of Tasmania, Australia
Andrea Hay ; Christopher Watson ; Matt King ; benoit legresy ; Jack Beardsley
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://data.utas.edu.au/metadata/2f215081-8607-4089-b321-f83cf3f217ed&rft.title=Impacts of small scale tropsophere variability on SWOT satellite&rft.identifier=https://data.utas.edu.au/metadata/2f215081-8607-4089-b321-f83cf3f217ed&rft.publisher=University of Tasmania, Australia&rft.description=Data and software supporting the research presented in GRL publication Small scale variability in the wet troposphere impacts the interpretation of SWOT satellite observations, Hay et al., 2025. The analysis covers Australian coastal regions during the SWOT fast sampling phase from 2023-03-30 to 2023-07-10. The zipped files SWOT_troposphere_investigations_data.zip and SWOT_troposphere_investigations_software.zip contain the relevant data and python jupyter notebooks, with further descriptions in the README.txt.&rft.creator=Andrea Hay &rft.creator=Christopher Watson &rft.creator=Matt King &rft.creator=benoit legresy &rft.creator=Jack Beardsley &rft.date=2024&rft.coverage=northlimit=-9.18887008447339; southlimit=-44.5278427984555; westlimit=109.951171875; eastlimit=156.357421875; projection=WGS84&rft_rights=Attribution(BY) http://creativecommons.org/licenses/by/4.0/&rft_subject=Geodesy&rft_subject=Geophysics&rft_subject=EARTH SCIENCES&rft_subject=Physical oceanography&rft_subject=Oceanography&rft_subject=Satellite-based positioning&rft_subject=Geomatic engineering&rft_subject=ENGINEERING&rft_subject=Oceanic processes (excl. in the Antarctic and Southern Ocean)&rft_subject=Marine systems and management&rft_subject=ENVIRONMENTAL MANAGEMENT&rft_subject=altimetry&rft_subject=GNSS&rft_subject=validation&rft_subject=troposphere&rft.type=dataset&rft.language=English Access the data
Cite Saved to MyRDA Save to MyRDA

Licence & Rights:

Open Licence view details

Access:

Open

Full description

Data and software supporting the research presented in GRL publication "Small scale variability in the wet troposphere impacts the interpretation of SWOT satellite observations", Hay et al., 2025. The analysis covers Australian coastal regions during the SWOT fast sampling phase from 2023-03-30 to 2023-07-10. The zipped files "SWOT_troposphere_investigations_data.zip" and "SWOT_troposphere_investigations_software.zip" contain the relevant data and python jupyter notebooks, with further descriptions in the README.txt.

Data time period: 2023-03-30 to 2023-07-10

This dataset is part of a larger collection

Click to explore relationships graph
Help

Related People

156.35742,-9.18887 156.35742,-44.52784 109.95117,-44.52784 109.95117,-9.18887 156.35742,-9.18887

133.154296875,-26.858356441465

Subjects
Earth Sciences | Engineering | Environmental Management | GNSS | Geodesy | Geomatic Engineering | Geophysics | Marine Systems and Management | Oceanic Processes (Excl. in the Antarctic and Southern Ocean) | Oceanography | Physical Oceanography | Satellite-Based Positioning | altimetry | troposphere | validation |

User Contributed Tags    

Login to tag this record with meaningful keywords to make it easier to discover

Identifiers
ACN 633 798 857