Sentences with phrase «with ocean temperature patterns»

The study reports that glaciers flowing to the coast on the western side of the Peninsula show a distinct spatial correlation with ocean temperature patterns, with those in the south retreating rapidly but those in the north showing little change.

Not exact matches

Those weather patterns are linked to warmer surface temperatures in the Pacific and Atlantic oceans, respectively, and correlated with the timing of observed floods on the lower Mississippi.

The Tibetan Plateau in China experiences the strongest monsoon system on Earth, with powerful winds — and accompanying intense rains in the summer months — caused by a complex system of global air circulation patterns and differences in surface temperatures between land and oceans.

Unusually warm ocean temperatures, referred to as «the Blob,» encompassed much of the West Coast beginning about 2014, combining with an especially strong El Nino pattern in 2015.

The north - south gradient of increasing glacier retreat was found to show a strong pattern with ocean temperatures, whereby water is cold in the north - west, and becomes progressively warmer at depths below 100m further south.

Regional trends are notoriously problematic for models, and seems more likely to me that the underprediction of European warming has to do with either the modeled ocean temperature pattern, the modelled atmospheric response to this pattern, or some problem related to the local hydrological cycle and boundary layer moisture dynamics.

For the change in annual mean surface air temperature in the various cases, the model experiments show the familiar pattern documented in the SAR with a maximum warming in the high latitudes of the Northern Hemisphere and a minimum in the Southern Ocean (due to ocean heat uptakOcean (due to ocean heat uptakocean heat uptake)(2)

To remove this difference in magnitude and focus instead on the patterns of change, the authors scaled the vertical profiles of ocean temperature (area - weighted with respect to each vertical ocean layer) with the global surface air temperature trend of each period.

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.

Chelliah and Bell (2004) defined a tropical multi-decadal pattern related to the AMO, the PDO and winter NAO with coherent variations in tropical convection and surface temperatures in the West African monsoon region, the central tropical Pacific, the Amazon Basin and the tropical Indian Ocean.

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 predictors.

Abstract: «The patterns of time / space changes in near - surface temperature due to the separate forcing components are simulated with a coupled atmosphere — ocean general circulation model»

A thick early winter snow cover in the region refrigerates the air directly above, strengthening the temperature contrast with the Arctic Ocean and reinforcing the entire pattern, Haustein explains.

On the other hand, if by some chance and what ends up happening is totally independent of human activity, because it turns out after all that CO2 from fossil fuels is magically transparent to infrared and has no effect on ocean pH, unlike regular CO2, say, but coincidentally big pieces of the ice sheets melt and temperature goes up 7 C in the next couple of centuries and weather patterns change and large unprecedented extreme events happen with incerasing frequency, and coincidentally all the reefs and shellfish die and the ocean becomes a rancid puddle, that could be unfortunate.

SRM on the other hand would merely mask temperature increases, with limited effects on ocean acidification, and would create novel climate regimes across significant areas of the world, with new patterns and levels of precipitation.

The study compared a 5,000 - year record of strong storms etched in lagoon mud on the Puerto Rican island of Vieques with data on ocean temperatures and climate and storm patterns.

All in all we can imagine the Earth's climate took a pounding, with temperatures rising multiple degrees *, precipitation patterns changing over an already large [thus dry] continent, acidification and anoxia increasing in the oceans — and that this must have had large effects on the terrestrial biosphere too.

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 predictors.

«The authors write that «the El Niño - Southern Oscillation (ENSO) is a naturally occurring fluctuation,» whereby «on a timescale of two to seven years, the eastern equatorial Pacific climate varies between anomalously cold (La Niña) and warm (El Niño) conditions,» and that «these swings in temperature are accompanied by changes in the structure of the subsurface ocean, variability in the strength of the equatorial easterly trade winds, shifts in the position of atmospheric convection, and global teleconnection patterns associated with these changes that lead to variations in rainfall and weather patterns in many parts of the world,» which end up affecting «ecosystems, agriculture, freshwater supplies, hurricanes and other severe weather events worldwide.»»

For example, every few years an ocean cycle appears in the Pacific ocean either as an El Niño and La Niña with global temperature and regional precipitation pattern changes.

To estimate the uncertainty range (2σ) for mean tropical SST cooling, we consider the error contributions from (a) large - scale patterns in the ocean data temperature field, which hamper a direct comparison with a coarse - resolution model, and (b) the statistical error for each reconstructed paleo - temperature value.

The most likely candidate for that climatic variable force that comes to mind is solar variability (because I can think of no other force that can change or reverse in a different trend often enough, and quick enough to account for the historical climatic record) and the primary and secondary effects associated with this solar variability which I feel are a significant player in glacial / inter-glacial cycles, counter climatic trends when taken into consideration with these factors which are, land / ocean arrangements, mean land elevation, mean magnetic field strength of the earth (magnetic excursions), the mean state of the climate (average global temperature), the initial state of the earth's climate (how close to interglacial - glacial threshold condition it is) the state of random terrestrial (violent volcanic eruption, or a random atmospheric circulation / oceanic pattern that feeds upon itself possibly) / extra terrestrial events (super-nova in vicinity of earth or a random impact) along with Milankovitch Cycles.

If this eternally - implied - but - under - supported idea that shifts in ocean patterns might be responsible for warming the oceans to depth of 2000m merits all these righteous demands for a «special team», I'd like to formally submit my request for a green team focused on the theory that the warming is caused by a progressive shift in mercury response to temperature caused by correlation with cosmic positioning relative to the galactic center.

A change in ocean heat content can also alter patterns of ocean circulation, which can have far - reaching effects on global climate conditions, including changes to the outcome and pattern of meteorological events such as tropical storms, and also temperatures in the northern Atlantic region, which are strongly influenced by currents that may be substantially reduced with CO2 increase in the atmosphere.

The seasonal climate may relate to changes in the ocean circulation pattern prior to 4.6 Ma that resulted in an increased temperature and atmospheric pressure gradient between the east coast of North America and the Atlantic Ocean, but this climate phase seems to be only a temporary condition, as underlying and overlying sediment are both consistent with drier conditocean circulation pattern prior to 4.6 Ma that resulted in an increased temperature and atmospheric pressure gradient between the east coast of North America and the Atlantic Ocean, but this climate phase seems to be only a temporary condition, as underlying and overlying sediment are both consistent with drier conditOcean, but this climate phase seems to be only a temporary condition, as underlying and overlying sediment are both consistent with drier conditions.

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

In general, the pattern of change in return values for 20 - year extreme temperature events from an equilibrium simulation for doubled CO2 with a global atmospheric model coupled to a non-dynamic slab ocean shows moderate increases over oceans and larger increases over land masses (Zwiers and Kharin, 1998; Figure 9.29).

We found that simulations produce an unrealistic single summer wet season, with no mid-summer break in the rains, and this is linked with biases in ocean temperature patterns.

Identify weather - related patterns in data for ocean surface currents, temperature and winds with special attention given to El Nino.

I am inclined to dismiss the importance of land temperature — which is modulated by water availability over land which shifts with ENSO and other — and related — ocean patterns.

This mean state change generally resembled the ocean temperature pattern associated with La Niña, and as a result the Pacific entered a persistent «La Niña - like» state after the 1997 - 1998 El Niño.

David's late father - in - law was the pioneering scientist Charles David Keeling, who began to record the concentrations of CO2 in the atmosphere in the 1950s, and who shared with David science's predictions on the effects of persistent greenhouse gasses, including rises in mean temperature, disrupted weather patterns, wildfires, floods, strengthening tropical storms, ocean acidification, sea level rise, melting of glaciers and other effects.

Recent studies have shown that western boundary currents have shifted position slightly over the course decades, leading to changes in wind, temperature and precipitation patterns around the globe more commonly associated with El Niño and the other ocean oscillations.

The vertical subsurface temperature in the tropical Atlantic should have a characteristic anticorrelation pattern with the upper ocean in the observed AMO, but is not produced in Booth et al. (33)(see also ref.

The way I interpret that is that the higher climate sensitivity must either involve different heat transfer modes / patterns, or that it involves a different temperature rise path, with more of the increase backloaded (ie if most of the increase for high sensitivity comes after 2070, then there's less time for the oceans to equilibrate than there would be, if most of the temperature increase was done by 2030).

You connect data (ocean temperature patterns) with a proposed mechanism (amount of clouds), therefore «And again, I have not presented a theory; I presented data.»

In my opinion, the most likely explanation for short term variations in temperature is due to changes in patterns of cloudiness coupled with changes in particulates in the atmosphere both of which alter the amount of sunlight getting through to and being absorbed by the oceans.

We find that over a wide range of values of diapycnal diffusivity and Southern Ocean winds, and with a variety of changes in surface boundary conditions, the spatial patterns of ocean temperature anomaly are nearly always determined as much or more by the existing heat reservoir redistribution than by the nearly passive uptake of temperature due to changes in the surface boundary conditOcean winds, and with a variety of changes in surface boundary conditions, the spatial patterns of ocean temperature anomaly are nearly always determined as much or more by the existing heat reservoir redistribution than by the nearly passive uptake of temperature due to changes in the surface boundary conditocean temperature anomaly are nearly always determined as much or more by the existing heat reservoir redistribution than by the nearly passive uptake of temperature due to changes in the surface boundary conditions.

For the change in annual mean surface air temperature in the various cases, the model experiments show the familiar pattern documented in the SAR with a maximum warming in the high latitudes of the Northern Hemisphere and a minimum in the Southern Ocean (due to ocean heat uptake) evident in the zonal mean for the CMIP2 models (Figure 9.8) and the geographical patterns for all categories of models (Figure 9Ocean (due to ocean heat uptake) evident in the zonal mean for the CMIP2 models (Figure 9.8) and the geographical patterns for all categories of models (Figure 9ocean heat uptake) evident in the zonal mean for the CMIP2 models (Figure 9.8) and the geographical patterns for all categories of models (Figure 9.10).