Constraining the entire Earth system projections for more reliable climate change adaptation planning

The warming climate is creating increased levels of climate risk because of changes to the hazards to which human and natural systems are exposed. Projections of how those hazards will change are affected by uncertainties in the climate sensitivity of climate models, among other factors. While the level-of-global-warming approach can circumvent model climate sensitivity uncertainties in some applications, practitioners faced with specific adaptation responsibilities often find such projections difficult to use because they generally require time-oriented information. Earth system projections following specified emissions scenarios can, however, be constrained by applying the level-of-global-warming approach to observationally constrained warming projections to yield more reliable time-oriented projections for adaption planning and implementation. This approach also allows individual groups to produce consistent and comparable assessments of multifaceted climate impacts and causal mechanisms, thereby benefiting climate assessments at national and international levels that provide the science basis for adaptation action.

Authors

Institutions

Publication Details

Journal
Science Advances
Published
2025-02-26
DOI
https://doi.org/10.1126/sciadv.adr5346
Citations
5
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
5.53
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Constraining the entire Earth system projections for more reliable climate change adaptation planning

Lina Yuan, Yongxiao Liang, Erich Markus Fischer, Francis W. Zwiers et al.
5 citations
Science Advances
Climate variability and models
5.53
article

Constraining the entire Earth system projections for more reliable climate change adaptation planning

Lina Yuan, Yongxiao Liang, Erich Markus Fischer, Francis W. Zwiers, Tong Li, Chao Li, Xuebin Zhang, Jianyu Wang, Jieyu Liu, Fujun Du
article en
5 citations

Abstract

The warming climate is creating increased levels of climate risk because of changes to the hazards to which human and natural systems are exposed. Projections of how those hazards will change are affected by uncertainties in the climate sensitivity of climate models, among other factors. While the level-of-global-warming approach can circumvent model climate sensitivity uncertainties in some applications, practitioners faced with specific adaptation responsibilities often find such projections difficult to use because they generally require time-oriented information. Earth system projections following specified emissions scenarios can, however, be constrained by applying the level-of-global-warming approach to observationally constrained warming projections to yield more reliable time-oriented projections for adaption planning and implementation. This approach also allows individual groups to produce consistent and comparable assessments of multifaceted climate impacts and causal mechanisms, thereby benefiting climate assessments at national and international levels that provide the science basis for adaptation action.

Science AdvancesVol. 11(9)
Environment and Climate Change Canada (CA), Nanjing University of Information Science and Technology (CN), University of Victoria (CA), ETH Zurich (CH), Pacific Institute for Climate Solutions (CA), Chinese Academy of Meteorological Sciences (CN), Ministry of Education (BD), University of Chinese Academy of Sciences (CN), East China Normal University (CN), Lanzhou University (CN)
Climate action
Openalex Percentile: Top 5%
Climate variability and models
5.53
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.