Historical catch records of humpback whales and the assessment of early 20th century sea ice edge in climate models

Abstract Assessment of historical environmental conditions in the Southern Ocean is limited by sparse oceanographic records prior to remote-sensing data. Whale catch data, particularly from humpback whales, can help fill this gap, as these whales inhabit waters near the sea ice edge. This study combines historical whale catch data with sea-ice model simulations from CMIP6 to assess the performance in the decade 1930–1939. The models were ranked based on their ability to simulate satellite-observed sea ice seasonality. The high-ranking models locate the sea-ice edge north of historical humpback whale catch regions, indicating higher sea-ice extent at the start of the 20th century, especially in November and December. It is recommended that models be tuned towards these early 20th century conditions while running the pre-industrial simulations. This interdisciplinary approach suggests that using only satellite-era data for model calibration may lead to overestimates of historical sea-ice extent, affecting future predictions.

Authors

Institutions

Publication Details

Journal
Environmental Research Climate
Published
2025-05-08
DOI
https://doi.org/10.1088/2752-5295/add614
Primary Topic
Arctic and Antarctic ice dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Historical catch records of humpback whales and the assessment of early 20th century sea ice edge in climate models

Ken Findlay, Elisa Seyboth, Luciano Dalla Rosa, Els Vermeulen et al.
1 links
Environmental Research Climate
Arctic and Antarctic ice dynamics
article

Historical catch records of humpback whales and the assessment of early 20th century sea ice edge in climate models

Ken Findlay, Elisa Seyboth, Luciano Dalla Rosa, Els Vermeulen, Marcello Vichi, Alakendra N. Roychoudhury, Jan‐Olaf Meynecke, Jasper de Bie, Eduardo R. Secchi, Thando Mazomba
article en

Abstract

Abstract Assessment of historical environmental conditions in the Southern Ocean is limited by sparse oceanographic records prior to remote-sensing data. Whale catch data, particularly from humpback whales, can help fill this gap, as these whales inhabit waters near the sea ice edge. This study combines historical whale catch data with sea-ice model simulations from CMIP6 to assess the performance in the decade 1930–1939. The models were ranked based on their ability to simulate satellite-observed sea ice seasonality. The high-ranking models locate the sea-ice edge north of historical humpback whale catch regions, indicating higher sea-ice extent at the start of the 20th century, especially in November and December. It is recommended that models be tuned towards these early 20th century conditions while running the pre-industrial simulations. This interdisciplinary approach suggests that using only satellite-era data for model calibration may lead to overestimates of historical sea-ice extent, affecting future predictions.

Environmental Research ClimateVol. 4(2)
Griffith University (AU), Universidade Federal do Rio Grande (BR), University of Cape Town (ZA), Cape Peninsula University of Technology (ZA), Stellenbosch University (ZA), University of Pretoria (ZA)
Openalex Percentile: Top 86%
Arctic and Antarctic ice dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Historical catch records of humpback whales and the assessment of early 20th century sea ice edge in climate models — Ken Findlay, Elisa Seyboth, et al. · Environmental Research Climate (2025) | TGRS Research Map | TGRS