Sentences with phrase «by sea surface temperatures patterns»

Recent studies show that global high - resolution models have remarkable skill in simulating the interannual variability in cyclone counts, implicating strong control by sea surface temperatures patterns.

Not exact matches

The underlying pattern in this year's fire forecast is driven by the fact that the western Amazon is more heavily influence by sea surface temperatures in the tropical Atlantic, and the eastern Amazon's fire severity risk correlates to sea surface temperature changes in the tropical Pacific Ocean.

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.

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.

the low ECS estimates they obtain when using data from AMIP simulations (those where models are driven by observed evolving sea - surface temperature patterns as well evolving forcing) are not news.

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.

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].

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.

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.

The sea surface temperature (SST) anomalies that define the AMV are characterized by a basin - scale pattern that has the same sign over the whole North Atlantic, with a maximum loading over the subpolar gyre region.

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.

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.

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).

The air responds to a change in it's own resistor efficiency by changing it's own circulation patterns to again meet the requirement that the surface air temperature and the sea surface temperature be the same on average globally.

Decadal variations in the North Pacific Gyre Oscillation are characterized by a pattern of sea surface temperature anomalies that resemble the central Pacific El Niño, a dominant mode of interannual variability with far - reaching effects on global climate patterns5, 6, 7.

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.

It's a mode of natural variation in the tropical eastern Pacific ocean which is indicated by sea surface temperature in that region, as well as patterns of atmospheric pressure, surface winds over the ocean, even precipitation over a much larger region.

The large interannual to decadal hydroclimatic variability in winter precipitation is highly influenced by sea surface temperature (SST) anomalies in the tropical Pacific Ocean and associated changes in large - scale atmospheric circulation patterns [16].

Regional circulation patterns have significantly changed in recent years.2 For example, changes in the Arctic Oscillation can not be explained by natural variation and it has been suggested that they are broadly consistent with the expected influence of human - induced climate change.3 The signature of global warming has also been identified in recent changes in the Pacific Decadal Oscillation, a pattern of variability in sea surface temperatures in the northern Pacific Ocean.4

Since the scaling factor used is based purely on simulations by CMIP5 models, rather than on observations, the estimate is only valid if those simulations realistically reproduce the spatiotemporal pattern of actual warming for both SST and near - surface air temperature (tas), and changes in sea - ice cover.

Local weather, particularly extreme local weather, is often determined by fluctuations in large patterns of regional atmospheric pressure and sea surface temperatures, such as the Arctic Oscillation (and its close relative, the North Atlantic Oscillation) and other patterns associated with El Niño - Southern Oscillation (ENSO).

Two approaches are used: applying regressions to experiments as they approach equilibrium, and equilibrium experiments forced separately by CO2 and patterned sea surface temperature perturbations alone.

However, it is intimately tied to the WAM circulation, which in turn is affected by sea surface temperatures (SSTs), particularly antisymmetric patterns between the Hemispheres.

To answer this question, large ensemble simulations of regional climate models will be carried out for an East Asian domain for two worlds: (1) Real world condition for which the observed sea surface temperatures will be prescribed and (2) Counter-factual world condition for which we will use adjusted sea surface temperatures obtained by removing human - induced ocean warming patterns.

[2] However, there is an extremely wide range of natural variability in tropical cyclone activity, and other factors affected by climate change, such as wind shear and the global pattern of regional sea surface temperatures, also play controlling and potentially contradictory roles.