Sentences with phrase «of sea surface temperature patterns»

Not exact matches

The ongoing La Niña pattern, where there are colder than normal sea surface temperatures in the central and eastern equatorial Pacific Ocean, favors these types of conditions.

Both the 2005 and 2010 droughts were the result of a «very, very unusual» weather pattern linked to higher sea surface temperatures in the Atlantic Ocean, said lead author Simon Lewis, a tropical forests expert at the University of Leeds.

The future of the currents, whether slowing, stopping or reversing (as was observed during several months measurements), could have a profound effect on regional weather patterns — from colder winters in Europe to a much warmer Caribbean (and hence warmer sea surface temperatures to feed hurricanes).

Responding to the extreme weather that gripped the eastern coast of the US this winter, Yannick Peings continued: «Unlike the 2012/2013 winter, this winter had rather low values of the AMO index and the pattern of sea surface temperature anomalies was not consistent with the typical positive AMO pattern.

Researchers from the University of California Irvine have shown that a phenomenon known as the Atlantic Multidecadal Oscillation (AMO)-- a natural pattern of variation in North Atlantic sea surface temperatures that switches between a positive and negative phase every 60 - 70 years — can affect an atmospheric circulation pattern, known as the North Atlantic Oscillation (NAO), that influences the temperature and precipitation over the Northern Hemisphere in winter.

In recent years, a brand of research called «climate attribution science» has sprouted from this question, examining the impact of extreme events to determine how much — often in fractional terms — is related to human - induced climate change, and how much to natural variability (whether in climate patterns such as the El Niño / La Niña - Southern Oscillation, sea - surface temperatures, changes in incoming solar radiation, or a host of other possible factors).

Previous research had demonstrated a link between some droughts and peculiar patterns of sea surface temperatures in different parts of the world.

El Niño is a weather pattern characterized by a periodic fluctuation in sea surface temperature and air pressure in the Pacific Ocean, which causes climate variability over the course of years, sometimes even decades.

Sea surface temperature data since 1882 document large El Niño - like patterns following four out of five big eruptions: Santa María (Guatemala) in October 1902, Mount Agung (Indonesia) in March 1963, El Chichón (Mexico) in April 1982 and Pinatubo in June 1991.

The study stops short of attributing California's latest drought to changes in Arctic sea ice, partly because there are other phenomena that play a role, like warm sea surface temperatures and changes to the Pacific Decadal Oscillation, an atmospheric climate pattern that typically shifts every 20 to 30 years.

In late 2010 and early 2011, the continent Down Under received about twice its normal complement of rain, thanks in large part to unusually warm sea - surface temperatures just north of Australia and a particularly strong La Niña — in essence, combining a source of warm humid air with the weather patterns that steered the moisture over the continent where it condensed and fell as precipitation.

Changes in the temperature of the sea surface in the Indian and Atlantic Oceans are linked to the pattern of rainfall over parts of the surrounding continents.

Normalised RMS error in simulation of climatological patterns of monthly precipitation, mean sea level pressure and surface air temperature.

Long - term (decadal and multi-decadal) variation in total annual streamflow is largely influenced by quasi-cyclic changes in sea - surface temperatures and resulting climate conditions; the influence of climate warming on these patterns is uncertain.

El Niño is a Pacific - driven climate pattern that features warmer - than - normal sea surface temperatures in the eastern tropics of that ocean basin.

This seems to be associated with particular patterns of change in sea surface temperature in the Atlantic and Pacific oceans, a teleconnection which is well - captured in climate models on seasonal timescales.

In contrast to historical droughts, future drying is not linked to any particular pattern of change in sea surface temperature but seems to be the result of an overall surface warming driven by rising greenhouse gases.

This approach may not be useful for quantitative reconstructions of past spatial patterns of climate fields, e.g. surface temperature, sea level pressure, drought, etc..

Remember also that the US is only about 2 % of the globe and the global surface record corresponds closely with satellite measurements of the lower troposhere, and also the sea surface temperatures show a strikingly similar pattern of warming.

These results suggest that sea surface temperature pattern - induced low cloud anomalies could have contributed to the period of reduced warming between 1998 and 2013, and offer a physical explanation of why climate sensitivities estimated from recently observed trends are probably biased low 4.

«The climate patterns responsible for the expected above - normal 2007 hurricane season continue to be the ongoing multi-decadal signal (the set of oceanic and atmospheric conditions that have spawned increased Atlantic hurricane activity since 1995), warmer - than - normal sea surface temperatures in key areas of the Atlantic Ocean and Caribbean Sea, and the El Nino / La Nina cycle&raqsea surface temperatures in key areas of the Atlantic Ocean and Caribbean Sea, and the El Nino / La Nina cycle&raqSea, and the El Nino / La Nina cycle»

It is quite a strong La Nina, and that is a forcing of the atmosphere by the anomalous atmospheric heating patterns linked to SSTs [sea surface temperatures].

«West Coast sea surface and coastal air temperatures evolved in lockstep with changing patterns of atmospheric pressure and winds.»

Predicting sea ice extent is easy if you can mentally calculate wind variations, momentum, sea currents, multi year ice compression ratios, tidal synergy with weather patterns, the AO, the temperature of ice sea water and air, how cloudy it will be, salinity, pycnocline convection rates, sea surface to air interface, CO2 exchange, ice thickness distributions.....

The coincidence of this area loss and a 30 square kilometer loss in 2008 with abnormal warmth this year, the setting of increasing sea surface temperatures and sea ice decline are all part of a climate warming pattern.

My colleagues Mihai Dima and Gerrit Lohmann of the Alfred Wegener Institute in Germany in a 2010 study analysed the patterns of changes in global sea surface temperatures.

However, to support the assertion that global warming is responsible for a great deal of damage from such events, it is sufficient to show that such events have the «signature» of global warming — for example, that specific global warming - related factors such as abnormally high sea surface temperatures, elevated water vapor levels, and altered jet stream patterns contributed to making Hurricane Sandy what it was — even if those factors can not be precisely quantified.

But it does say; «Natural climate variations, which tend to involve localized changes in sea surface temperature, may have a larger effect on hurricane activity than the more uniform patterns of global warming...»

Canadian Ice Service, 4.7, Multiple Methods As with CIS contributions in June 2009, 2010, and 2011, the 2012 forecast was derived using a combination of three methods: 1) a qualitative heuristic method based on observed end - of - winter arctic ice thicknesses and extents, as well as an examination of Surface Air Temperature (SAT), Sea Level Pressure (SLP) and vector wind anomaly patterns and trends; 2) an experimental Optimal Filtering Based (OFB) Model, which uses an optimal linear data filter to extrapolate NSIDC's September Arctic Ice Extent time series into the future; and 3) an experimental Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere and sea ice predictoSea Level Pressure (SLP) and vector wind anomaly patterns and trends; 2) an experimental Optimal Filtering Based (OFB) Model, which uses an optimal linear data filter to extrapolate NSIDC's September Arctic Ice Extent time series into the future; and 3) an experimental Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere and sea ice predictosea ice predictors.

Normalised RMS error in simulation of climatological patterns of monthly precipitation, mean sea level pressure and surface air temperature.

Canadian Ice Service, 4.7 (+ / - 0.2), Heuristic / Statistical (same as June) The 2015 forecast was derived by considering a combination of methods: 1) a qualitative heuristic method based on observed end - of - winter Arctic ice thickness extents, as well as winter Surface Air Temperature, Sea Level Pressure and vector wind anomaly patterns and trends; 2) a simple statistical method, Optimal Filtering Based Model (OFBM), that uses an optimal linear data filter to extrapolate the September sea ice extent timeseries into the future and 3) a Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere and sea ice predictoSea Level Pressure and vector wind anomaly patterns and trends; 2) a simple statistical method, Optimal Filtering Based Model (OFBM), that uses an optimal linear data filter to extrapolate the September sea ice extent timeseries into the future and 3) a Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere and sea ice predictosea ice extent timeseries into the future and 3) a Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere and sea ice predictosea ice predictors.

And for the period of 1997 to 2012, there are no similarities between the warming and cooling patterns for lower troposphere temperatures over the oceans and the satellite - enhanced sea surface temperature data.

Jarraud said 16 - 20 percent of the 2015 rise may be due to El Niño, a natural weather pattern marked by warming sea - surface temperatures in the Pacific Ocean.

My research group has just submitted a paper for publication on the subject of autumn sea ice patterns as a precursor for wintertime snowfall and surface temperatures in the Northern Hemisphere.

In order to understand California's precipitation patterns and the influence of El Niño better, Bor - Ting Jong from the Lamont - Doherty Earth Observatory at Columbia University and her colleagues used sea surface temperature and weather data from as far back as 1901.

Coastal impacts of climate change include rise in sea level and changes in circulatory and sea surface temperature patterns.

The Atlantic Multidecadal Oscillation (AMO) is a naturally occurring pattern of sea surface temperature change that is seen in the North Atlantic Ocean on decadal timescales and affects weather and climate.

More Scientific Evidence For CO2's Dubious Climate Impact Emerges Image Source: Robertson and Chilingar, 2017 According to the most basic precepts of anthropogenic global warming (AGW), variations in CO2 concentrations exert significant control on sea surface temperatures, glaciers, sea levels, and generalized climate dynamics (i.e., precipitation patterns).

Burgmann et al (2008) discuss this in terms of a Pacific Decadal Variation (PDV)-- and describe the sea surface temperature signature as «characterized by a broad triangular pattern in the tropical Pacific surrounded by opposite anomalies in the midlatitudes of the central and western Pacific Basin.»

Sea surface heights are influenced by ocean temperatures and winds, and so in turn reflect the overarching conditions of ocean regions, including patterns like El Niño and La Niña.

D'Aleo and Easterbrook continue to fail to acknowledge the PDO is an aftereffect of ENSO and that the PDO represents the spatial pattern of the sea surface temperatures of the North Pacific, not the actual sea surface temperatures there.

Index Profile of the Stadium Wave: ■ Atlantic Multidecadal Oscillation (AMO)-- a monopolar pattern of sea - surface - temperature (SST) anomalies in theNorth Atlantic Ocean.

Publishing in the journal Nature he argued, «The changes are all associated with patterns of dry - season mist frequency, which is negatively correlated with sea surface temperatures in the equatorial Pacific.»

Canadian Ice Service; 5.0; Statistical As with Canadian Ice Service (CIS) contributions in June 2009 and June 2010, the 2011 forecast was derived using a combination of three methods: 1) a qualitative heuristic method based on observed end - of - winter Arctic Multi-Year Ice (MYI) extents, as well as an examination of Surface Air Temperature (SAT), Sea Level Pressure (SLP) and vector wind anomaly patterns and trends; 2) an experimental Optimal Filtering Based (OFB) Model which uses an optimal linear data filter to extrapolate NSIDC's September Arctic Ice Extent time series into the future; and 3) an experimental Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere, and sea ice predictoSea Level Pressure (SLP) and vector wind anomaly patterns and trends; 2) an experimental Optimal Filtering Based (OFB) Model which uses an optimal linear data filter to extrapolate NSIDC's September Arctic Ice Extent time series into the future; and 3) an experimental Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere, and sea ice predictosea ice predictors.

By examining the spatial pattern of both types of climate variation, the scientists found that the anthropogenic global warming signal was relatively spatially uniform over the tropical oceans and thus would not have a large effect on the atmospheric circulation, whereas the PDO shift in the 1990s consisted of warming in the tropical west Pacific and cooling in the subtropical and east tropical Pacific, which would enhance the existing sea surface temperature difference and thus intensify the circulation.

The PDO represents the spatial pattern of the sea surface temperatures of the North Pacific.

In addition, the pattern of sea surface temperatures at low latitudes is extremely important for regional climate variations (shown, for example, by the increased likelihood of heavy winter rainfall in California when the eastern tropical Pacific warms in El Niño events).

And the pattern of sea surface temperature anomalies that arise in consequence of the flux of ozone into the troposphere (and the resulting change in cloud cover) is intimately related to the GPH anomalies.

As a hydrologist — I would happily predict much more summer rainfall in Australia, India, China, Indonesia and Africa for a decade or three more — based on patterns of sea surface temperature in the Pacific.

Even while identifying some of the observed change in climatic behaviour, such as a 0.4 C increase in surface temperature over the past century, or about 1 mm per year sea level rise in Northern Indian Ocean, or wider variation in rainfall patterns, the document notes that no firm link between the do...