Sentences with phrase «sea level variability in»

Intensification of decadal and multi-decadal sea level variability in the western tropical Pacific during recent decades.

Proshutinsky, A., I. Ashik, S. Hakkinen, E. Hunke, R. Krishfield, M. Maltrud, W. Maslowski, and J. Zhang,» Sea level variability in the Arctic Ocean from AOMIP models», J. Geophys Res., 112, C04S08, doi: 10.1029 / 2006JC003916, 2007.

Not exact matches

The centre runs research programmes in climate variability and change, the monitoring of sea levels, ocean uptake of carbon dioxide, and Antarctic marine ecosystems.

Episodes like volcanic eruptions can create variability: the eruption of Mount Pinatubo in 1991 decreased global mean sea level just before the Topex / Poseidon satellite launch, for example.

In the past 15 years, the oceans have warmed, the amount of snow and ice has diminished and sea levels have risen, explains Lisa Goddard, an expert in climate variability at Columbia UniversitIn the past 15 years, the oceans have warmed, the amount of snow and ice has diminished and sea levels have risen, explains Lisa Goddard, an expert in climate variability at Columbia Universitin climate variability at Columbia University.

The CTD sections show that the deeper layers are also warmer and slightly saltier and the observed sea level can be explained by steric expansion over the upper 2000 m. ENSO variability impacts on the northern part of the section, and a simple Sverdrup transport model shows how large - scale changes in the wind forcing, related to the Southern Annular Mode, may contribute to the deeper warming to the south.

Temperature - driven global sea - level variability in the Common Era.

The physics underlying sea - level change, which can be mind - bending and counterintuitive, mean there is tremendous regional variability in present and future sea - level changes.

Abstract: Mid - to late - Holocene sea - level records from low - latitude regions serve as an important baseline of natural variability in sea level and global ice volume prior to the Anthropocene.

Suzuki, T., et al., 2005: Projection of future sea level and its variability in a high - resolution climate model: Ocean processes and Greenland and Antarctic ice - melt contributions.

For birds and amphibians, we considered exposure to five components of climate change, namely changes in mean temperature, temperature variability, mean precipitation, precipitation variability and sea level rise.

«[B] y making use of 21 CMIP5 coupled climate models, we study the contribution of external forcing to the Pacific Ocean regional sea level variability over 1993 — 2013, and show that according to climate models, externally forced and thereby the anthropogenic sea level fingerprint on regional sea level trends in the tropical Pacific is still too small to be observable by satellite altimetry.»

Our framework links innovative approaches for (1) generating high - resolution, probabilistic projection of future climate and sea - level changes and (2) empirically identifying robust statistical relationships characterizing how humans have responded to past climate variability and past climate change, in order to (3) project how humans may respond to uncertain future changes.

During periods when ice sheets have been relatively stable, such as the last several millennia (the late Holocene), sub-millennial sea - level variability arose primarily from changes in atmosphere / ocean dynamics.

Periods that are of possibly the most interest for testing sensitivities associated with uncertainties in future projections are the mid-Holocene (for tropical rainfall, sea ice), the 8.2 kyr event (for the ocean thermohaline circulation), the last two millennia (for decadal / multi-decadal variability), the last interglacial (for ice sheets / sea level) etc..

Mike's work, like that of previous award winners, is diverse, and includes pioneering and highly cited work in time series analysis (an elegant use of Thomson's multitaper spectral analysis approach to detect spatiotemporal oscillations in the climate record and methods for smoothing temporal data), decadal climate variability (the term «Atlantic Multidecadal Oscillation» or «AMO» was coined by Mike in an interview with Science's Richard Kerr about a paper he had published with Tom Delworth of GFDL showing evidence in both climate model simulations and observational data for a 50 - 70 year oscillation in the climate system; significantly Mike also published work with Kerry Emanuel in 2006 showing that the AMO concept has been overstated as regards its role in 20th century tropical Atlantic SST changes, a finding recently reaffirmed by a study published in Nature), in showing how changes in radiative forcing from volcanoes can affect ENSO, in examining the role of solar variations in explaining the pattern of the Medieval Climate Anomaly and Little Ice Age, the relationship between the climate changes of past centuries and phenomena such as Atlantic tropical cyclones and global sea level, and even a bit of work in atmospheric chemistry (an analysis of beryllium - 7 measurements).

Those projections are detailed in Zhang et al, 2010 «Arctic sea ice response to atmospheric forcings with varying levels of anthropogenic warming and climate variability.»

The differences between the quadratic acceleration numbers come from differences in the decadal to multidecadal variability in the curves which I don't consider very robust (we have shown in Rahmstorf et al. 2012 how strongly these can be affected by a small amount of «noise» in the sea - level data).

Nevertheless such variability induced by winds or currents may give a false impression of global sea level fluctuations in analyses of tide gauge data.

There are many patterns of behaviour particularly in the Pacific, associated with El Nino variability — possibly related to Vanuatu's lack of actual sea level rise over the last 40 years.

Variability in the prevailing winds (which can extend over decades, England et al. 2014) will therefore lead to variability in the water level along the coasts — but of course we know that the wind can not change global sea level at all as it merely redistributesVariability in the prevailing winds (which can extend over decades, England et al. 2014) will therefore lead to variability in the water level along the coasts — but of course we know that the wind can not change global sea level at all as it merely redistributesvariability in the water level along the coasts — but of course we know that the wind can not change global sea level at all as it merely redistributes the water.

That approach, from Katrina forward, was bound to fail, given the variability of conditions year to year and persistent (and non-manufactured) uncertainty surrounding some of the most consequential impacts (for instance, the pace and extent of warming and sea - level rise in this century).

WMO will issue its full Statement on the State of the Climate in 2017 in March which will provide a comprehensive overview of temperature variability and trends, high - impact events, and long - term indicators of climate change such as increasing carbon dioxide concentrations, Arctic and Antarctic sea ice, sea level rise and ocean acidification.

Spatial variability of the rates of sea level rise is mostly due to non-uniform changes in temperature and salinity and related to changes in the ocean circulation.

The overarching goal of this WCRP research effort, led by WCRP's Core Project «Climate and Ocean Variability, Predictability and Change» (CLIVAR) as a Research Focus, is to establish a quantitative understanding of the natural and anthropogenic mechanisms of regional to local sea level variability; to promote advances in observing systems required for an integrated sea level monitoring; and to foster the development of sea level predictions and projections that are of increasing benefit for coastal zone Variability, Predictability and Change» (CLIVAR) as a Research Focus, is to establish a quantitative understanding of the natural and anthropogenic mechanisms of regional to local sea level variability; to promote advances in observing systems required for an integrated sea level monitoring; and to foster the development of sea level predictions and projections that are of increasing benefit for coastal zone variability; to promote advances in observing systems required for an integrated sea level monitoring; and to foster the development of sea level predictions and projections that are of increasing benefit for coastal zone management.

Posted in Alarmism, Alternative Energy, Antarctic, Arctic, Climate Sensitivity, CO2 and GHG, Cooling / Temperature, Drought and Deserts, Glaciers, Hurricanes / Tornados, Medieval Warm Period, Natural Oceanic Oscillations, Natural Variability, Paleo - climatology, Scepticism, Sea Levels, Solar Sciences 45 Responses

In order to use tidal gauges to reliably estimate global sea level changes, researchers have to successfully separate the components of shifting land heights and local sea level variability from any global trends.

The evolution of El Niño - Southern Oscillation (ENSO) variability can be characterized by various ocean - atmosphere feedbacks, for example, the influence of ENSO related sea surface temperature (SST) variability on the low - level wind and surface heat fluxes in the equatorial tropical Pacific, which in turn affects the evolution of the SST.

In the Queen Charlotte Islands (Haida Gwaii) off the Canadian Pacific coast, winter storm damage is exacerbated by large sea - level anomalies resulting from ENSO variability (Walker and Barrie, 2006).

«Regional variability in sea level associated with large - scale ocean circulations, with magnitude + / - 20 cm since 1993.»

The study demonstrates that observation - based interpretations, highlighting the role of winds in past regional sea level variability, are not inconsistent with the dominance of AMOC - associated changes in the 21st century.

«Global sea level linked to global temperature» «Temperature - driven global sea - level variability in the Common Era»

Short scale variability is well known in the literature, it is poorly advertised.Nutation (1) for example provides good explanations for changes in the growing season in the US (earlier)(2) and changes in sea level variability (3)

The researchers found that as external forcing increases in strength over the 21st century, sea level variability associated with the overturning circulation becomes dominant.

Extending the sea level record back over the entire century suggests that the high variability in the rates of sea level change observed over the past 20 years were not particularly unusual.

People are already experiencing the impacts of climate change through slow onset changes, for example sea level rise and greater variability in the seasonality of rainfall, and through extreme weather events, particularly extremes of heat, rainfall and coastal storm surges.

Excerpt: Sea level rise has been taking place almost monotonically over the past 8,000 years, with substantial decadal variability embedded in the trend.

That leaves the possibility that either the Earth's atmosphere has an incredibly high positive feedback — sufficient to amplify a relatively small natural variability in TSI enough to cause the sea level to rise in this way — or that greenhouse gases are trapping heat.

Here we present an analysis based on sea - level data from the altimetry record of the past ~ 20 years that separates interannual natural variability in sea level from the longer - term change probably related to anthropogenic global warming.

The most prominent signature in the global mean sea level interannual variability is caused by El Niño — Southern Oscillation, through its impact on the global water cycle.

Obviously you are not aware that the decadal variability of ENSO is not in synch with the PDO: The graph is from this post: http://bobtisdale.wordpress.com/2011/06/30/yet-even-more-discussions-about-the-pacific-decadal-oscillation-pdo/ The reasons for the differences are of course due to the influence of sea level pressure on the PDO.

«Here we present an analysis based on sea - level data from the altimetry record of the past ~ 20 years that separates interannual natural variability in sea level from the longer - term change probably related to anthropogenic global warming... Our results confirm the need for quantifying and further removing from the climate records the short - term natural climate variability if one wants to extract the global warming signal.»

Specifically, smoothing sea - level data (adjusting for natural variability of ENSO) over the past century fits most closely with a 4th degree polynomial model, and there has very likely not been any slowing in the longer - term background rate of sea level rise over the period of the tropospheric «pause».

Nature Climate Science (NCS) said ``... the slowdown in sea level rise is due to natural variability in the climate and is not indicative of a slowdown in the effects of global warming.»

It is clear that natural variability has dominated sea level rise during the 20th century, with changes in ocean heat content and changes in precipitation patterns.

«The CCR - II report correctly explains that most of the reports on global warming and its impacts on sea - level rise, ice melts, glacial retreats, impact on crop production, extreme weather events, rainfall changes, etc. have not properly considered factors such as physical impacts of human activities, natural variability in climate, lopsided models used in the prediction of production estimates, etc..

«Our results from this study imply that if future anthropogenic warming effects in the Indo - Pacific warm pool dominate natural variability, mid-ocean islands such as the Mascarenhas Archipelago, coasts of Indonesia, Sumatra, and the north Indian Ocean may experience significantly more sea level rise than the global average,» Han said.

Legates, D.R. and W. Soon, 2011: Chapter 4: Sea level changes in Bangladesh: observational constraints on human, geologic and weather - climate variability related factors, in Climate Change Issues and Perspectives for Bangladesh, Rafique Ahmed, and S. Dara Shamsuddin (Eds).

Coming in third is another PNAS paper, «Temperature - driven global sea - level variability in the Common Era,» by lead author Dr Robert Kopp of Rutgers University.

The trend in greater sea level variability means that many Pacific Island communities should expect not only more frequent and prolonged drops in sea level, but also more frequent high sea level events.