Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

When do regional tropical climate signals become detectable in CMIP5/6 simulations?

View through CrossRef
<p>Estimating when anthropogenically-forced signals emerge from ambient natural climate variability is crucial for climate-change detection. Here we propose a new method for estimating the emergence time of climate signals based on a significance test on the nonlinear trend rather than the commonly-used method based on a signal-to-noise ratio. This method is less sensitive to the choice of a confidence level (0.1, 0.05 or 0.01) than the previous method to commonly-used signal to noise ratios (0.5, 1 or 2). For signals that tend to emerge in the late 21<sup>st</sup> century, our method tends to yield earlier detection dates, by taking the large number of degrees of freedom into account. Here, we apply this method to relative SST (RSST, SST minus its tropical mean) changes, which tend to emerge much later than SST change signals. RSST is an indicator of changes in the atmosphere vertical stability and thus of changes in tropical cyclones intensity and precipitation. By 2100, CMIP5/6 projections indicate greater than tropical average warming (positive RSST signal) in the central and eastern equatorial Pacific, equatorial Atlantic, and Arabian Sea, and reduced warming (negative RSST signal) in the three southern hemisphere subtropical gyres. In general agreement with observations, relative warming in the Arabian Sea and relative cooling in the South-Eastern Pacific are already detectable in a majority of models (median emergence time < 2020), making these regions suitable for testing a model's ability to predict a regional SST trend. In contrast, RSST signals in other regions do not become detectable until after 2050. Tropical precipitation projections indicate more (less) rainfall in regions of positive (negative) RSST change that typically emerge one or two decades later than RSST signals. This lack of currently-detectable regional rainfall trends in CMIP models makes it difficult to evaluate their ability to predict tropical regional rainfall trends. In general, signals tend to emerge later in CMIP6 than in CMIP5 due to both weaker signals and larger climate noise. The only exception is Sahel, where CMIP6 models already display a detectable rainfall increase, that is not yet detectable in CMIP5.</p>
Title: When do regional tropical climate signals become detectable in CMIP5/6 simulations?
Description:
<p>Estimating when anthropogenically-forced signals emerge from ambient natural climate variability is crucial for climate-change detection.
Here we propose a new method for estimating the emergence time of climate signals based on a significance test on the nonlinear trend rather than the commonly-used method based on a signal-to-noise ratio.
This method is less sensitive to the choice of a confidence level (0.
1, 0.
05 or 0.
01) than the previous method to commonly-used signal to noise ratios (0.
5, 1 or 2).
For signals that tend to emerge in the late 21<sup>st</sup> century, our method tends to yield earlier detection dates, by taking the large number of degrees of freedom into account.
Here, we apply this method to relative SST (RSST, SST minus its tropical mean) changes, which tend to emerge much later than SST change signals.
RSST is an indicator of changes in the atmosphere vertical stability and thus of changes in tropical cyclones intensity and precipitation.
By 2100, CMIP5/6 projections indicate greater than tropical average warming (positive RSST signal) in the central and eastern equatorial Pacific, equatorial Atlantic, and Arabian Sea, and reduced warming (negative RSST signal) in the three southern hemisphere subtropical gyres.
In general agreement with observations, relative warming in the Arabian Sea and relative cooling in the South-Eastern Pacific are already detectable in a majority of models (median emergence time < 2020), making these regions suitable for testing a model's ability to predict a regional SST trend.
In contrast, RSST signals in other regions do not become detectable until after 2050.
Tropical precipitation projections indicate more (less) rainfall in regions of positive (negative) RSST change that typically emerge one or two decades later than RSST signals.
This lack of currently-detectable regional rainfall trends in CMIP models makes it difficult to evaluate their ability to predict tropical regional rainfall trends.
In general, signals tend to emerge later in CMIP6 than in CMIP5 due to both weaker signals and larger climate noise.
The only exception is Sahel, where CMIP6 models already display a detectable rainfall increase, that is not yet detectable in CMIP5.
</p>.

Related Results

JIT 2023 - Jornadas de Jóvenes Investigadores Tecnológicos
JIT 2023 - Jornadas de Jóvenes Investigadores Tecnológicos
Es un honor presentar este libro que compila los trabajos de investigación y desarrollo presentados en las Jornadas de Jóvenes Investigadores Tecnológicos (JIT) 2023. Este evento s...
Emergence of the projected trends in the tropical oceans from background climate noise in CMIP5 simulations
Emergence of the projected trends in the tropical oceans from background climate noise in CMIP5 simulations
<p>Anthropogenic forcing induces a Sea Surface Temperature (SST) warming and sea level rise. While these globally-averaged signals are clearly detectable, it is more ...
Climate and Culture
Climate and Culture
Climate is, presently, a heatedly discussed topic. Concerns about the environmental, economic, political and social consequences of climate change are of central interest in academ...
Emergence time of regional signals in tropical rainfall and sea surface temperature in CMIP5/6 simulations
Emergence time of regional signals in tropical rainfall and sea surface temperature in CMIP5/6 simulations
<div> <div> <div> <p>The concept of emergence time allows to define when anthropogenically-forced signals become larger than...
A Synergistic Imperative: An Integrated Policy and Education Framework for Navigating the Climate Nexus
A Synergistic Imperative: An Integrated Policy and Education Framework for Navigating the Climate Nexus
Climate change acts as a systemic multiplier of threats, exacerbating interconnected global crises that jeopardize food security, biodiversity, and environmental health. These chal...
Evaluating the Effectiveness of the European Union’s 2040 Climate Target: Policy Ambitions versus Implementation Challenges
Evaluating the Effectiveness of the European Union’s 2040 Climate Target: Policy Ambitions versus Implementation Challenges
As the level of ambition was increased, in July 2025, the European Commission set out a new binding greenhouse gas (GHG) reduction objective of - 90% by 2040 with respect to 1990, ...
Assessing CMIP Models’ Ability to Detect Observed Surface Warming Signals Related to Climate Change
Assessing CMIP Models’ Ability to Detect Observed Surface Warming Signals Related to Climate Change
Abstract Assessing if CMIP models can detect observed climate change signals is crucial for evaluating their realism and strengthening confidence in future projections. These signa...
Objective Identification and Characterisation of Pacific ITCZs in ERA5 and CMIP5 models and their representation in RCMs
Objective Identification and Characterisation of Pacific ITCZs in ERA5 and CMIP5 models and their representation in RCMs
<p>The Intertropical Convergence Zone (ITCZ) is recognised as the most crucial feature of the tropical climate producing more than 30% of the global precipitation. It...

Back to Top