On the recent global mean sea level changes: Trend extraction and El Niño's impact

Haddad, Mahdi; Taibi, Habib; Arezki, Si Mohammed Mohammed

doi:10.1016/j.crte.2013.03.002

Cited by 18 publications

(9 citation statements)

References 39 publications

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“…ENSO is strongly linked to remote weather and climate far away over other parts of the world through the atmospheric "teleconnection." Strong El Niño events have the potential to temporarily increase global mean sea level (Ngo-Duc et al, 2005;Cazenave et al, 2012;Haddad et al, 2013) whereas in the cold La Niña phase the opposite occurs and negative sea level anomalies can be temporary observed. During the 2011 strong La Nina event, Boening et al (2012) show that the change in sea level is due to water mass temporarily shifting from oceans to land as precipitation increased over Australia, northern South America, and Southeast Asia, while it decreased over the oceans.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Causality Analysis of ENSO’s Global Impacts on Climate Variables Based on Data-Driven Analytics and Climate Model Simulation

et al. 2019

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Numerous studies have indicated that El Niño and the southern oscillation (ENSO) could have determinant impacts on remote weather and climate using the conventional correlation-based methods, which however, cannot identify the cause-and-effect of such linkage, and ultimately determine a direction of causality. This study employs the vector auto-regressive (VAR) model estimation method with the long-term observational sea surface temperature (SST) data and the NCEP/NCAR reanalysis data to demonstrate the Granger causality between ENSO and other climate attributes. Results showed that ENSO as the modulating factor can result in abnormal surface temperature, pressure, precipitation and wind circulation remotely, not vice versa. We also carry out the global climate model sensitivity simulations using the parallel computing techniques to double confirm the causality relations between ENSO and abnormal events in remote regions. Our statistical and climate model-based analyses may enrich our current understanding on the occurrences of extreme events worldwide caused by different ENSO strengths through teleconnections.

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Section: Introductionmentioning

confidence: 99%

Hybrid Causality Analysis of ENSO’s Global Impacts on Climate Variables Based on Data-Driven Analytics and Climate Model Simulation

et al. 2019

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“…Although the annual cycle and linear trend are the most prominent signals in the record, altimeter data also evidence more subtle GMSL variations superimposed on those signals. In particular, it has long been reported that nonseasonal GMSL anomalies are significantly correlated with El Niño-Southern Oscillation (ENSO), such that the GMSL is anomalously positive during warm El Niño phases and anomalously negative during cool La Niña phases (Nerem et al, 1999(Nerem et al, , 2010Chambers et al, 2002;Ngo-Duc et al, 2005;Landerer et al, 2008;Merrifield et al, 2009;Llovel et al, 2010Llovel et al, , 2011Boening et al, 2012;Cazenave et al, , 2014Meyssignac and Cazenave, 2012;Stammer et al, 2013;Fasullo et al, 2013;Haddad et al, 2013;Meyssignac et al, 2013;Calafat et al, 2014;Dieng et al, 2014Dieng et al, , 2015Pugh and Woodworth, 2014). Recent papers argue that ENSO-related GMSL changes are essentially of barystatic origin, related to changes in the hydrological cycle, and patterns of precipitation and evaporation (Llovel et al, 2011;Boening et al, 2012;Cazenave et al, , 2014Fasullo et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

El Niño, La Niña, and the global sea level budget

Piecuch¹,

Quinn²

2016

Preprint

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Abstract. Previous studies show that nonseasonal variations in global-mean sea level (GMSL) are significantly correlated with El Niño-Southern Oscillation (ENSO). However, it has remained unclear to what extent these ENSO-related GMSL fluctuations correspond to steric (i.e., density) or barystatic (mass) effects. Here we diagnose the GMSL budget for ENSO events observationally using data from profiling floats, satellite gravimetry, and radar altimetry during 2005–2015. Steric and barystatic effects make comparable contributions to the GMSL budget during ENSO, in contrast to previous interpretations based largely on hydrological models, which emphasize the barystatic component. The steric contributions reflect changes in global ocean heat content, centered on the Pacific. Distributions of ocean heat storage in the Pacific arise from a mix of diabatic and adiabatic effects. Results have implications for understanding the surface warming slowdown and demonstrate the usefulness of the Global Ocean Observing System for constraining Earth's hydrological cycle and radiation imbalance.

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“…In particular, it has long been reported that nonseasonal GMSL anomalies are significantly correlated with El Niño-Southern Oscillation (ENSO), such that the GMSL is anomalously positive during warm El Niño phases and anomalously negative during cool La Niña phases (Nerem et al, 1999(Nerem et al, , 2010Chambers et al, 2002;Ngo-Duc et al, 2005;Landerer et al, 2008;Merrifield et al, 2009;Llovel et al, 2010Llovel et al, , 2011Boening et al, 2012;Cazenave et al, 2012Cazenave et al, , 2014Meyssignac and Cazenave, 2012;Stammer et al, 2013;Fasullo et al, 2013;Haddad et al, 2013;Meyssignac et al, 2013;Calafat et al, 2014;Dieng et al, 2014Dieng et al, , 2015Pugh and Woodworth, 2014). Recent papers argue that ENSO-related GMSL changes are essentially of barystatic origin, related to changes in the hydrological cycle, and patterns of precipitation and evaporation (Llovel et al, 2011;Boening et al, 2012;Cazenave et al, 2012Cazenave et al, , 2014Fasullo et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

El Niño, La Niña, and the global sea level budget

Piecuch

Quinn

2016

Ocean Sci.

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Abstract. Previous studies show that nonseasonal variations in global-mean sea level (GMSL) are significantly correlated with El Niño-Southern Oscillation (ENSO). However, it has remained unclear to what extent these ENSO-related GMSL fluctuations correspond to steric (i.e., density) or barystatic (mass) effects. Here we diagnose the GMSL budget for ENSO events observationally using data from profiling floats, satellite gravimetry, and radar altimetry during 2005-2015. Steric and barystatic effects make comparable contributions to the GMSL budget during ENSO, in contrast to previous interpretations based largely on hydrological models, which emphasize the barystatic component. The steric contributions reflect changes in global ocean heat content, centered on the Pacific. Distributions of ocean heat storage in the Pacific arise from a mix of diabatic and adiabatic effects. Results have implications for understanding the surface warming slowdown and demonstrate the usefulness of the Global Ocean Observing System for constraining Earth's hydrological cycle and radiation imbalance.

show abstract

On the recent global mean sea level changes: Trend extraction and El Niño's impact

Cited by 18 publications

References 39 publications

Hybrid Causality Analysis of ENSO’s Global Impacts on Climate Variables Based on Data-Driven Analytics and Climate Model Simulation

Hybrid Causality Analysis of ENSO’s Global Impacts on Climate Variables Based on Data-Driven Analytics and Climate Model Simulation

El Niño, La Niña, and the global sea level budget

El Niño, La Niña, and the global sea level budget

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