Sentences with phrase «sea ice anomalies in»

Chapman, W.L. and J.E. Walsh 1991 Long - Range Prediction of Regional Sea Ice Anomalies in the Arctic Weather and Forecasting 6, 271 - 288.

Alexander, M.A., et al., 2004: The atmospheric response to realistic Arctic sea ice anomalies in an AGCM during winter.

Not exact matches

The effects of North Atlantic SST and sea ice anomalies on the winter circulation in CCM3.

The role of Barents Sea ice in the wintertime cyclone track and emergence of a warm - Arctic cold - Siberian anomaly.

In addition to the effect of wind - driven sea - ice, such feed - backs may explain the large local temperature anomalies and large natural variations in the ArctiIn addition to the effect of wind - driven sea - ice, such feed - backs may explain the large local temperature anomalies and large natural variations in the Arctiin the Arctic.

Goosse, H., F.M. Selten, R.J. Haarsma, and J.D. Opsteegh, 2003: Large sea - ice volume anomalies simulated in a coupled climate model.

«It is still far from clear whether cold anomalies [in the mid-latitudes] are caused by Arctic warming (or sea ice loss) rather than being simply correlated with Arctic warming, but driven by something else.

The high anomalies up in the Arctic continue for a third month in GISTEMP and the question of the maximum Arctic Sea Ice Extent is surely now only by how much this freeze season will be below the record low set in 2017.

Much of the recent sea ice loss is attributed to warmer sea surface temperatures with southerly wind anomalies a contributing cause [Francis and Hunter, 2007; Sorteberg and Kvingedal, 2006], with thermodynamic coupling leading to associated increases in atmospheric moisture.»

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).

I would be more than happy to see a tidal chart showing an estreme anomaly in sea level at thesame moment as with observed tidal ice events, but the charts I've seen show 100 cm tides even at the full moon.

Those atmospheric patterns shifted to cyclonic in the early - to mid-1960s driving the accumulated freshwater and sea ice through Fram Strait — the main source of the Great Salinity Anomaly in the late 1960s.

The effect of last summer's wind anomaly and ice - albedo feedback may be found in a number of publications, including ours: Zhang, J., R.W. Lindsay, M. Steele, and A. Schweiger, What drove the dramatic retreat of Arctic sea ice during summer 2007?

Regarding the «global ice at 1980 levels», here is the canned response we wrote in rebuttal to the astonishingly twisted piece in Daily Tech: What the graph shows is that the global sea ice area for early January 2009 is on the long term average (zero anomaly).

By analyzing climate anomalies in the model that are similar to those that occurred in the early twentieth century, it was found that the simulated temperature increase in the Arctic was related to enhanced wind - driven oceanic inflow into the Barents Sea with an associated sea ice retreSea with an associated sea ice retresea ice retreat.

If this is correct, than sea ice will be much greater this summer than in recent years because northern hemisphere temperature anomalies have been low this winter.

We have fairly high confidence that we observe the history of Heinrich events (huge discharges of ice - rafted debris from the Laurentide ice sheet through Hudson Bay that are roughly coincident with large southern warming, southward shift of the intertropical convergence zone, extensive sea ice in the north Atlantic, reduced monsoonal rainfall in at least some parts of Asia, and other changes), and also cold phases of the Dansgaard / Oeschger oscillations that lack Heinrich layers and are characterized by muted versions of the other climate anomalies I just mentioned.

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 predictoIce 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 predictoice 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 predictoIce 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 predictoice predictors.

A statistical forecast using a regression based approach with fall sea surface temperature anomalies in the North Atlantic as the main predictor was submitted by Tivy (Figure 3) for ice concentration anomalies in July in Hudson Bay.

Or how about the changes in sea ice are normal variations, that the Arctic was ice free during other interglacial periods, that sea ice is an anomaly?

bozzza @ 424, The Antarctic sea ice area anomaly has gone negative in the last couple of days, the first time that has happened in four years.

Sea ice anomalies at the springtime maximum probably have more to do with what is happening to weather over subarctic seas rather than what is happening to preconditioning of sea ice in the Arctic Basin propSea ice anomalies at the springtime maximum probably have more to do with what is happening to weather over subarctic seas rather than what is happening to preconditioning of sea ice in the Arctic Basin propsea ice in the Arctic Basin proper.

This model has been proven skillful in reproducing the monthly arctic (and Antarctic) sea ice extent anomalies over the last 30 years, as well as the observed long - term downward trend.

Maybe in 40 years or so, antarctic sea ice may well still show positive anomalies and even positive trends.

Very large anomalies also existed at this time in Arctic sea ice and, in conjunction with positive Arabian Sea SST anomalies, connections to the events in Eurasia are suggested (Sedláček et al. 201sea ice and, in conjunction with positive Arabian Sea SST anomalies, connections to the events in Eurasia are suggested (Sedláček et al. 201Sea SST anomalies, connections to the events in Eurasia are suggested (Sedláček et al. 2011).

; North Pole Cam 1 & 2; Arctic Sea Ice Extent Averaging Below 2007 Anomaly; Paleoclimate Implications for Human - Made Climate Change; UN Security Council Addresses Considers Global Security and Climate Change; New study details glacier ice loss following ice shelf collapse; Climate Change To Spawn More Wildfires; Gingrich Says 2006 Climate Change Ad He Starred In Was «Misconstrued&raqIce Extent Averaging Below 2007 Anomaly; Paleoclimate Implications for Human - Made Climate Change; UN Security Council Addresses Considers Global Security and Climate Change; New study details glacier ice loss following ice shelf collapse; Climate Change To Spawn More Wildfires; Gingrich Says 2006 Climate Change Ad He Starred In Was «Misconstrued&raqice loss following ice shelf collapse; Climate Change To Spawn More Wildfires; Gingrich Says 2006 Climate Change Ad He Starred In Was «Misconstrued&raqice shelf collapse; Climate Change To Spawn More Wildfires; Gingrich Says 2006 Climate Change Ad He Starred In Was «Misconstrued»

Unfortunately, the RECOVERY form that FREEZING COLD anomaly seems to have come to an end, with the sea ice extent STILL in the top 10 % of the last 10,000 years.

Predictions, an early baby El Nino this coming year, 2014, will fade and 2014 will be the 9 nth coldest of recent years Arctic Sea Ice extent will speed up in the coming months and go through the average to record a positive anomaly within 12 weeks.

Deser, C, G. Magnusdottir, R. Saravanan and A. Philips, 2004: The effects of the North Atlantic SST and sea - ice anomalies on the winter circulation in CCM3.

Some processes arise through interactions with other parts of the climate system such as the ocean (for example as manifested through sea surface temperature anomalies), sea ice anomalies, snow cover anomalies as well as through coupling to the circulation in the stratosphere.

To name just a few of the climate impacts of the annular modes: the NAM is associated with large anomalies in surface temperatures and precipitation across North American and Eurasia, in the distribution of sea - ice throughout the Arctic, in sea - surface temperatures over the North Atlantic, and in the spatial distribution ozone in the lower stratosphere.

G. Magnusdottir, C. Deser and R. Saravanan, 2004: The effects of North Atlantic SST and sea - ice anomalies on the winter circulation in CCM3.

The regression - based forecast submitted by Tivy for the Greenland Sea (Figure 7) also shows a reduction in September sea ice area compared to 2009 based on fall (Sep - Oct - Nov) sea surface temperature anomalies in the North AtlantSea (Figure 7) also shows a reduction in September sea ice area compared to 2009 based on fall (Sep - Oct - Nov) sea surface temperature anomalies in the North Atlantsea ice area compared to 2009 based on fall (Sep - Oct - Nov) sea surface temperature anomalies in the North Atlantsea surface temperature anomalies in the North Atlantic.

The up trend for the anomaly in sea ice from 1978 to end 2006 is 804Km ^ 2 per year.

(a, b) Annual - mean sea ice concentration in the CTL and SW experiments, and (c) SST anomalies during the last 50 years of the latter simulation.

The pan-arctic ensemble runs with a coupled ice - ocean model by Kauker et al. also indicate a distinct ice thickness anomaly in the East Siberian Sea, where thicknesses at the end of June 2010 are shown to be higher by a factor of roughly two as compared to the previous three years.

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 predictoIce 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 predictoIce 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 predictoIce (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 predictoIce 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 predictoice predictors.

Prediction of July 2010 sea ice concentration anomalies in the Hudson Bay region from a statistical model.

The idea is that Arctic sea ice decline would expose the ocean to anomalous surface heat and freshwater fluxes, resulting in positive buoyancy anomalies that can propagate downstream to the North Atlantic, in due time suppressing deep convection and weakening the AMOC.

''... worked with two sediment cores they extracted from the seabed of the eastern Norwegian Sea, developing a 1000 - year proxy temperature record «based on measurements of δ18O in Neogloboquadrina pachyderma, a planktonic foraminifer that calcifies at relatively shallow depths within the Atlantic waters of the eastern Norwegian Sea during late summer,» which they compared with the temporal histories of various proxies of concomitant solar activity... This work revealed, as the seven scientists describe it, that «the lowest isotope values (highest temperatures) of the last millennium are seen ~ 1100 - 1300 A.D., during the Medieval Climate Anomaly, and again after ~ 1950 A.D.» In between these two warm intervals, of course, were the colder temperatures of the Little Ice Age, when oscillatory thermal minima occurred at the times of the Dalton, Maunder, Sporer and Wolf solar minima, such that the δ18O proxy record of near - surface water temperature was found to be «robustly and near - synchronously correlated with various proxies of solar variability spanning the last millennium,» with decade - to century - scale temperature variability of 1 to 2 °C magnitude.&raquin Neogloboquadrina pachyderma, a planktonic foraminifer that calcifies at relatively shallow depths within the Atlantic waters of the eastern Norwegian Sea during late summer,» which they compared with the temporal histories of various proxies of concomitant solar activity... This work revealed, as the seven scientists describe it, that «the lowest isotope values (highest temperatures) of the last millennium are seen ~ 1100 - 1300 A.D., during the Medieval Climate Anomaly, and again after ~ 1950 A.D.» In between these two warm intervals, of course, were the colder temperatures of the Little Ice Age, when oscillatory thermal minima occurred at the times of the Dalton, Maunder, Sporer and Wolf solar minima, such that the δ18O proxy record of near - surface water temperature was found to be «robustly and near - synchronously correlated with various proxies of solar variability spanning the last millennium,» with decade - to century - scale temperature variability of 1 to 2 °C magnitude.&raquIn between these two warm intervals, of course, were the colder temperatures of the Little Ice Age, when oscillatory thermal minima occurred at the times of the Dalton, Maunder, Sporer and Wolf solar minima, such that the δ18O proxy record of near - surface water temperature was found to be «robustly and near - synchronously correlated with various proxies of solar variability spanning the last millennium,» with decade - to century - scale temperature variability of 1 to 2 °C magnitude.»

Pokrovsky predicts a further acceleration of melting of the thin ice and in general greater ice loss compared to his June prediction; this change is based on the increase in the sea surface temperature (SST) anomalies in the North Atlantic and the presence of hot air masses over Siberia and the Russian Arctic.

Using a statistical model based on canonical correlation analysis with fall sea surface temperature anomalies in the North Atlantic as the main predictor, Tivy shows below - normal ice concentrations throughout most of the region (Figure 12), which suggests an earlier - than - normal opening of the shipping season.

The predictor is multi-year ice anomalies in the Beaufort Sea along the coast of the islands the previous summer (14 - month lead), which is an area of ice import into the CAA.

The September sea ice extent anomaly should demonstrate tendencies of more ice in the Pacific and less ice in the Atlantic sectors.

«In summer, the oceanic heat anomaly is enhanced by the ice — albedo feedback, but in winter the excess oceanic heat is lost to the atmosphere due to a lack of insulating sea ‐ ice coveIn summer, the oceanic heat anomaly is enhanced by the ice — albedo feedback, but in winter the excess oceanic heat is lost to the atmosphere due to a lack of insulating sea ‐ ice covein winter the excess oceanic heat is lost to the atmosphere due to a lack of insulating sea ‐ ice cover.

The statistical forecast submitted by Tivy for September ice concentration anomalies in the Beaufort - Chukchi Sea region is unchanged.

There is high confidence that Arctic sea ice anomalies exhibit substantial interannual variability, so that ice loss or gain in any particular year can not be taken as an indication or absence of a long - term trend due to anthropogenic forcing.

The auto - correlation of the sea ice area anomaly time series is in the order of three months.

«Summer Enhancement of Arctic Sea Ice Volume Anomalies in the September - Ice Zone» * J. Climate» (30, 2341 — 2362, https://doi.org/10.1175/JCLI-D-16-0470.1).

The reduction in Arctic sea ice and increase in Antarctic sea ice has happened before and is called the polar see - saw or polar anomaly.