Data

Extreme Weather Events and Marine Predators Data

Name: Extreme Weather Events and Marine Predators Data
Published: 2025

University of Tasmania, Australia

Sojitra, Milan ; Corney, Stuart ; Hemer, Mark ; Bestley, Sophie ; Hamilton, Sheryl ; Thalmann, Sam ; Lea, Mary-Anne

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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25959/N2XB-PR19&rft.title=Extreme Weather Events and Marine Predators Data&rft.identifier=10.25959/N2XB-PR19&rft.description=This dataset contains processed weather variables, extreme weather indices, to examine the influence of extreme weather events (EWEs) on the reproductive output of three marine predator species in Tasmania: Australian fur seals, short-tailed shearwaters, and shy albatross. The biological data themselves are not included in this submission, as they are owned and managed by the Marine Conservation Program (MCP), Department of Natural Resources and Environment Tasmania, and the Friends of Maatsuyker Island (FOMI, Wildcare Inc.).Weather information was compiled from the Bureau of Meteorology (BOM), the BARRA2 atmospheric reanalysis dataset, and the CAWCR wave hindcast model. Daily summaries and synoptic observations were used to derive meteorological variables relevant to species’ breeding seasons, including temperature, rainfall, wind, solar radiation, wave energy, and derived measures such as wet-bulb globe temperature (WBGT) and apparent temperature (AT). Extreme weather indices were calculated following BOM definitions, using ≥30-year climatological baselines where available. Percentile-based indices were produced in both binary (occurrence) and continuous (magnitude) forms to characterise heatwaves, rainfall extremes, and other EWEs.The purpose of assembling these weather datasets and code is to provide a transparent, reproducible foundation for analysing environmental drivers of reproductive variability across marine predator species in Tasmania. This resource enables users to replicate the workflow used in the associated publication, and statistical analyses linking environmental extremes to breeding outcomes.Maintenance and Update Frequency: unknownStatement: Weather data were sourced from three primary datasets: (1) the Australian Bureau of Meteorology (BOM), (2) the BARRA2 atmospheric reanalysis, and (3) the CAWCR wave hindcast model. For each study location, the nearest long-term BOM station was selected based on proximity and data completeness. Daily weather variables were derived by aggregating both daily observations and synoptic (1–24 observations per day) BOM records into daily summarie. Wet-bulb globe temperature (WBGT) was calculated using the HeatStress package, which integrates BOM meteorological records with solar radiation extracted from the corresponding BARRA2 grid cell (12-km resolution). Apparent temperature (AT) was computed using the standard Bureau of Meteorology formula, incorporating temperature, humidity, wind speed, and solar radiation. Oceanographic variables, including wave energy and wave direction, were obtained from the nearest CAWCR wave hindcast grid point (~10-km resolution) and summarised as daily maximum wave energy and daily mean wave direction. Extreme weather indices were calculated using percentile-based thresholds consistent with Bureau of Meteorology definitions. Thresholds were derived using a 5-day moving window across the annual cycle and based on ≥30 years of daily data where available. Climatology periods were chosen to maximise temporal coverage and ensure robust baselines for each variable, excluding early years with substantial gaps and retaining only years with ≤10% missing data (≥330 days), except in rare cases where individual years with slightly higher missingness were needed to maintain continuity. Percentile calculations were performed using the heatwaveR package. For each extreme weather type (excluding mean wave direction), two outputs were generated: (1) a binary indicator of threshold exceedance and (2) a continuous index in which only values above (or below) the threshold were retained and all others set to zero. All data processing and index generation were conducted in R, with reproducible scripts included in this submission.&rft.creator=Sojitra, Milan &rft.creator=Corney, Stuart &rft.creator=Hemer, Mark &rft.creator=Bestley, Sophie &rft.creator=Hamilton, Sheryl &rft.creator=Thalmann, Sam &rft.creator=Lea, Mary-Anne &rft.date=2025&rft.coverage=westlimit=143.00; southlimit=-44.50; eastlimit=150.00; northlimit=-38.50&rft.coverage=westlimit=143.00; southlimit=-44.50; eastlimit=150.00; northlimit=-38.50&rft_rights=This dataset is the intellectual property of the University of Tasmania (UTAS) through the Institute for Marine and Antarctic Studies (IMAS).&rft_rights=Creative Commons Attribution 4.0 International License https://creativecommons.org/licenses/by/4.0/&rft_rights=Cite data as: Sojitra, M., Corney, S., Hemer, M., Bestley, S., Hamilton, S., Thalmann, S., & Lea, M.-A. (2025). Extreme Weather Events and Marine Predators Data [Data set]. Institute for Marine and Antarctic Studies. https://doi.org/10.25959/N2XB-PR19&rft_rights=Data, products and services from IMAS are provided as is without any warranty as to fitness for a particular purpose.&rft_subject=biota&rft_subject=climatologyMeteorologyAtmosphere&rft_subject=Australian fur seal&rft_subject=Shy albatross&rft_subject=Short-tailed shearwater&rft_subject=Seabirds&rft_subject=Pinnipeds&rft_subject=Marine mammals&rft_subject=EXTREME WEATHER&rft_subject=EARTH SCIENCE&rft_subject=CLIMATE INDICATORS&rft_subject=ATMOSPHERIC/OCEAN INDICATORS&rft_subject=WEATHER EVENTS&rft_subject=MARINE ECOSYSTEMS&rft_subject=ECOLOGICAL DYNAMICS&rft_subject=BIOSPHERE&rft_subject=BREEDING PRODUCTIVITY&rft_subject=BIOSPHERIC INDICATORS&rft_subject=States, Territories (Australia) | States, Territories (Australia) | Tasmania&rft.type=dataset&rft.language=English Access the data

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Creative Commons Attribution 4.0 International License
https://creativecommons.org/licenses/by/4.0/

This dataset is the intellectual property of the University of Tasmania (UTAS) through the Institute for Marine and Antarctic Studies (IMAS).

Cite data as: Sojitra, M., Corney, S., Hemer, M., Bestley, S., Hamilton, S., Thalmann, S., & Lea, M.-A. (2025). Extreme Weather Events and Marine Predators Data [Data set]. Institute for Marine and Antarctic Studies. https://doi.org/10.25959/N2XB-PR19

Data, products and services from IMAS are provided "as is" without any warranty as to fitness for a particular purpose.

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Full description

This dataset contains processed weather variables, extreme weather indices, to examine the influence of extreme weather events (EWEs) on the reproductive output of three marine predator species in Tasmania: Australian fur seals, short-tailed shearwaters, and shy albatross. The biological data themselves are not included in this submission, as they are owned and managed by the Marine Conservation Program (MCP), Department of Natural Resources and Environment Tasmania, and the Friends of Maatsuyker Island (FOMI, Wildcare Inc.).

Weather information was compiled from the Bureau of Meteorology (BOM), the BARRA2 atmospheric reanalysis dataset, and the CAWCR wave hindcast model. Daily summaries and synoptic observations were used to derive meteorological variables relevant to species’ breeding seasons, including temperature, rainfall, wind, solar radiation, wave energy, and derived measures such as wet-bulb globe temperature (WBGT) and apparent temperature (AT). Extreme weather indices were calculated following BOM definitions, using ≥30-year climatological baselines where available. Percentile-based indices were produced in both binary (occurrence) and continuous (magnitude) forms to characterise heatwaves, rainfall extremes, and other EWEs.

The purpose of assembling these weather datasets and code is to provide a transparent, reproducible foundation for analysing environmental drivers of reproductive variability across marine predator species in Tasmania. This resource enables users to replicate the workflow used in the associated publication, and statistical analyses linking environmental extremes to breeding outcomes.

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Maintenance and Update Frequency: unknown

Statement: Weather data were sourced from three primary datasets: (1) the Australian Bureau of Meteorology (BOM), (2) the BARRA2 atmospheric reanalysis, and (3) the CAWCR wave hindcast model. For each study location, the nearest long-term BOM station was selected based on proximity and data completeness. Daily weather variables were derived by aggregating both daily observations and synoptic (1–24 observations per day) BOM records into daily summarie. Wet-bulb globe temperature (WBGT) was calculated using the HeatStress package, which integrates BOM meteorological records with solar radiation extracted from the corresponding BARRA2 grid cell (12-km resolution). Apparent temperature (AT) was computed using the standard Bureau of Meteorology formula, incorporating temperature, humidity, wind speed, and solar radiation. Oceanographic variables, including wave energy and wave direction, were obtained from the nearest CAWCR wave hindcast grid point (~10-km resolution) and summarised as daily maximum wave energy and daily mean wave direction. Extreme weather indices were calculated using percentile-based thresholds consistent with Bureau of Meteorology definitions. Thresholds were derived using a 5-day moving window across the annual cycle and based on ≥30 years of daily data where available. Climatology periods were chosen to maximise temporal coverage and ensure robust baselines for each variable, excluding early years with substantial gaps and retaining only years with ≤10% missing data (≥330 days), except in rare cases where individual years with slightly higher missingness were needed to maintain continuity. Percentile calculations were performed using the heatwaveR package. For each extreme weather type (excluding mean wave direction), two outputs were generated: (1) a binary indicator of threshold exceedance and (2) a continuous index in which only values above (or below) the threshold were retained and all others set to zero. All data processing and index generation were conducted in R, with reproducible scripts included in this submission.

Notes

Credit
IMAS HDR Research Support Scheme

Issued: 19 11 2025

Data time period: 2024-06-01

This dataset is part of a larger collection

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text: westlimit=143.00; southlimit=-44.50; eastlimit=150.00; northlimit=-38.50

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(DATA ACCESS - R-code and data)

url : https://data.imas.utas.edu.au/attachments/8060b48b-308d-43a6-8fed-7a9d0f0bbd9c/RCode_and_Data.zip External Link

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Identifiers

DOI : 10.25959/N2XB-PR19
global : 8060b48b-308d-43a6-8fed-7a9d0f0bbd9c