Sentences with phrase «of sea level anomalies»

These C3S products are derived from the DUACS delayed - time altimeter gridded maps of sea level anomalies based on a stable number of altimeters (two) in the satellite constellation.

Part of that leftover warm water (a Rossby wave) is captured in the following animation of sea level anomalies from JPL.

Climatologies of sea level anomalies (> 0.05 m) and daily - mean storm surges (> 0.3 m) are presented for the 1960 — 2010 cool seasons (October — April) along the East Coast of the United States.

Not exact matches

Both El Niños show sea level anomalies of up to 8 inches across the eastern tropical Pacific (and corresponding drops in other parts of the ocean basin).

Together these influences drove exceptional moisture transports into the continent's interior (Fig. 3a) and were likely responsible for one of the wettest intervals in Australia's recorded history, the intensity and persistence of its terrestrial storage anomaly, and a considerable fraction of the global sea level response.

A reconstruction of extratropical Indo - Pacific sea - level pressure patterns during the Medieval Climate Anomaly.

Why would the DERIVATIVE of the sea level be similar to the temperature anomaly when (at least according to the IPCC report, the sea level rise is largely due to the thermal expansion of the oceans (1.6 + -0.5 mm / yr).

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).

iheartheidicullen @ 162: Sorry if my tone was intemperate, but really the SH and NH sea ice trends have been analysed at length online by Tamino and others, over the last year or two, with the clear conclusion that the SH anomaly trend is small (the anomaly at the maximum last year was about 1.5 % of the mean annual maximum, if I remember correctly) and not statistically significant (at the 95 % level, I think), whereas the NH trend is large (tens of percent), long - lived, and statistically very significant indeed.

At the same time, the GRACE gravitational - anomaly satellites, the most accurate method of measurement we have, showed sea level actually falling from 2003 — 2009.

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.

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.

Here we examine how sensitive the SAM (defined as the leading empirical orthogonal function of SH sea level pressure anomalies) is to future GHG concentrations.

In general, indices of the annular modes are based on either 1) the leading principal component (PC) time series of gridded geopotential height anomalies at a given pressure level or 2) approximations of the leading PC time series of geopotential height anomalies using differences between sea level pressure anomalies at stations in middle and high latitudes.

I've presented videos and gif animations to show the impacts of ENSO on ISCCP Total Cloud Amount data (with cautions about that dataset), CAMS - OPI precipitation data, NOAA's Trade Wind Index (5S - 5N, 135W - 180) anomaly data, RSS MSU TLT anomaly data, CLS (AVISO) Sea Level anomaly data, NCEP / DOE Reanalysis - 2 Surface Downward Shortwave Radiation Flux (dswrfsfc) anomaly data, Reynolds OI.v2 SST anomaly data and the NODC's ocean heat content data.

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.

A comparison of detrended North Atlantic SST anomalies and scaled NAO (inverted) and NINO3.4 SST anomalies shows that a change in Sea Level Pressure preceded the 2001/02 change in the North Atlantic SST anomalies.

The predictions make use of October Siberian snow cover, sea level pressure anomalies and equatorial Pacific sea surface temperature anomalies.

The response pattern associated with GCR consisted of a negative temperature anomaly that was limited to parts of eastern Europe, and a weak anomaly in the sea - level pressure (SLP), but coincided with higher pressure over the Norwegian Ssea - level pressure (SLP), but coincided with higher pressure over the Norwegian SeaSea.

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.

However you slice it, lolwot, there is a current «pause» (or «standstill») in the warming of the «globally and annually averaged land and sea surface temperature anomaly» (used by IPCC to measure «global warming»), despite unabated human GHG emissions and CO2 levels (Mauna Loa) reaching record levels.

The book presents the strong arguments over a wide range of climate related issues — from energy, to natural climate factors, to weather anomalies, to sea level rise, etc. — in an easy to understand manner.

Sea Surface Temperature anomalies for the Mid-To-High Latitudes of the Northern Hemisphere also rose and remained at an elevated level.

The stability and homogeneity of the C3S sea level products is also ensured by the use of an homogeneous mean reference to compute the sea level anomalies for all missions.

We have now seen several years of successive Antarctic sea ice records, and in the Arctic [take out the storm induced 2012 anomaly] sea ice levels turned the corner in 2007, with more and thicker [multi year] ice every year since.

2) The satellite tropospheric and sea surface (SST) data differ from the HADCRUT surface temp anomaly, with the present temperatures of both right at the same level as in 1991 (while Fig. 1 here shows an increase over 1991 of about 0.25 °C).

For SON, similar regression patterns are obtained if different atmospheric levels (e.g. Z1000, Z500) are used instead of Z850, but Z850 was found to have the greatest correspondence with ABS sea ice anomalies (not shown).

The sea level anomaly creates an along - shelf geostrophic coastal current anomaly, which is particularly strong on the western side of the Peninsula.

Prior to vortex displacements the main sea level pressure anomaly center of the tropospheric precursor is associated with the Siberian high.

The shrinking of sea - ice in the eastern Arctic causes some regional heating of the lower levels of air — which may lead to strong anomalies in atmospheric airstreams, triggering an overall cooling of the northern continents, a study recently published in the Journal of Geophysical Research shows.

We highlight the existence of an intriguing and to date unreported relationship between the surface area of the South Atlantic Anomaly (SAA) of the geomagnetic field and the current trend in global sea level rise.

These anomalies obviously had an effect on the global mean of sea levels.

Indeed, sea level anomalies measured by Topex / Poseidon were over 20 centimeters in the equatorial Pacific when the phenomenon was at its height (and as much as 30 centimeters off the coast of Peru).

The first principal component is significantly correlated with the SAM index (the first principal component of sea - level - pressure or 500 - hPa geopotential heights for 20u S — 90u S), and the second principal component reflects the zonal wave - 3 pattern, which contributes to the Antarctic dipole pattern of sea - ice anomalies in the Ross Sea and Weddell Sea sectosea - level - pressure or 500 - hPa geopotential heights for 20u S — 90u S), and the second principal component reflects the zonal wave - 3 pattern, which contributes to the Antarctic dipole pattern of sea - ice anomalies in the Ross Sea and Weddell Sea sectosea - ice anomalies in the Ross Sea and Weddell Sea sectoSea and Weddell Sea sectoSea sectors.

The words «sea level» are misleading: for a range of reasons — from gravitational anomalies on the sea floor to the intrusion of a warm current, or a pattern of high winds — the sea's contours ripple up and down imperceptibly around the planet.

The observed changes (lower panel; Trenberth and Fasullo 2010) show the 12 - month running means of global mean surface temperature anomalies relative to 1901 — 2000 from NOAA [red (thin) and decadal (thick)-RSB- in °C (scale lower left), CO2 concentrations (green) in ppmv from NOAA (scale right), and global sea level adjusted for isostatic rebound from AVISO (blue, along with linear trend of 3.2 mm / year) relative to 1993, scale at left in mm).