Sentences with phrase «sea ice concentration on»

AMSR - E sea ice concentration on 30 August.

Arctic sea ice concentration on 10 June 2014.

Monthly sections of salinity and temperature shown with sea ice concentration on the date of deployment.

HadISST is a unique combination of monthly globally - complete fields of SST and sea ice concentration on a 1 degree latitude - longitude grid from 1870 to date.

Not exact matches

All this cold water being released into the ocean has a significant impact on the formation of sea ice, resulting in higher rates of sea ice concentration around Antarctica.

Climate alarm depends on several gloomy assumptions — about how fast emissions will increase, how fast atmospheric concentrations will rise, how much global temperatures will rise, how warming will affect ice sheet dynamics and sea - level rise, how warming will affect weather patterns, how the latter will affect agriculture and other economic activities, and how all climate change impacts will affect public health and welfare.

A threshold h applied on the (thickness Feb = Mar concentration Sept) field yields the predicted September extent after the regression with the past four years of sea ice extent observations.

WMO will issue its full Statement on the State of the Climate in 2017 in March which will provide a comprehensive overview of temperature variability and trends, high - impact events, and long - term indicators of climate change such as increasing carbon dioxide concentrations, Arctic and Antarctic sea ice, sea level rise and ocean acidification.

Left figure: April ice extent defined as 30 % ice concentration in the Greenland Sea / Fram Strait and Barents Sea based on passive microwave data (red = April 2012, orange = mean April 1999 - 2008, purple = mean April 1980 - 1999, green = mean April 1979 - 2008).

Right figure: May ice extent defined as 30 % ice concentration in the Greenland Sea / Fram Strait and Barents Sea based on passive microwave data (red = May 2012, orange = mean May 1999 - 2008, purple = mean May 1980 - 1999, green = mean May 1979 - 2008)(Gerland et al.).

Based on February / March SMOS sea ice thickness and September SSMI sea ice concentration we provide a heuristic / statistical guesstimate for the 2015 September sea ice extent: 3.6 + / - 0.7.

Zhang and Lindsay, 4.3 ± 0.8, Model The forecasting system is based on a synthesis of a model, the NCEP / NCAR reanalysis data, and satellite observations of ice concentration and sea surface temperature.

May ice extent defined as the 30 % ice concentration in the Greenland Sea / Fram Strait and Barents Sea based on the Norwegian ice charts (blue = 2013, red = 2012, orange = 2011, green = 2010, yellow = 2009).

The ice age product is based on a 15 % sea ice concentration threshold to be consistent with the threshold used for mapping overall sea ice extent.

Another simulation incorporated prescribed sea ice loss in autumn and winter based on satellite - derived Arctic sea ice concentrations.

I have downloaded the HADISST ice data and computed sea ice extent for both the arctic and antarctic (based on 15 % concentration to be consistent with NSIDC data from the satellite era).

One of the difficulties using charts based on in situ observations is that there was very little exploration poleward of the «marginal ice zone» (the area of partial sea ice cover near the ice edge), so in older reconstructions the ice concentration was often assumed to be 100 % beyond the marginal zone.

The BRT then manufactured an untested sea - ice threshold based solely on circumstantial evidence to assert whelping and nursing required sea ice concentrations over 25 %.

The OSI SAF team focuses on scatterometer winds (and soon microwave winds), Sea Surface Temperature (SST) and sea Ice Surface Temperature (IST), radiative fluxes: Solar Surface Irradiance (SSI) and Downward Longwave Irradiance (DLI), sea ice concentration, edge, type, emissivity, driSea Surface Temperature (SST) and sea Ice Surface Temperature (IST), radiative fluxes: Solar Surface Irradiance (SSI) and Downward Longwave Irradiance (DLI), sea ice concentration, edge, type, emissivity, drisea Ice Surface Temperature (IST), radiative fluxes: Solar Surface Irradiance (SSI) and Downward Longwave Irradiance (DLI), sea ice concentration, edge, type, emissivity, driIce Surface Temperature (IST), radiative fluxes: Solar Surface Irradiance (SSI) and Downward Longwave Irradiance (DLI), sea ice concentration, edge, type, emissivity, drisea ice concentration, edge, type, emissivity, driice concentration, edge, type, emissivity, drift.

Ice extent (monthly means, April) southern border of 30 % ice concentration, in the Greenland Sea / Fram Strait and Barents Sea, based on passive microwave satellite data (red = April 2011, orange = April 2010, green = April 2009, blue = April 200Ice extent (monthly means, April) southern border of 30 % ice concentration, in the Greenland Sea / Fram Strait and Barents Sea, based on passive microwave satellite data (red = April 2011, orange = April 2010, green = April 2009, blue = April 200ice concentration, in the Greenland Sea / Fram Strait and Barents Sea, based on passive microwave satellite data (red = April 2011, orange = April 2010, green = April 2009, blue = April 2008).

Using a statistical model based on winter near - global sea surface temperatures, Tivy shows high concentrations of ice remaining throughout the NWP region.

2012's sea ice area and extent were already trending low this year, but damage done to the thin and low concentration of ice by this storm almost ensures that 2012 will eclipse 2007 in all categories as the lowest sea ice on record by the time the September low is set.

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.

It is based on observations of cloud cover, sea - ice concentration, and top - of - atmosphere broadband albedo.

Based on proxy records from ice, terrestrial and marine archives, the LIG is characterized by an atmospheric CO2 concentration of about 290 ppm, i.e., similar to the pre-industrial (PI) value13, mean air temperatures in Northeast Siberia that were about 9 °C higher than today14, air temperatures above the Greenland NEEM ice core site of about 8 ± 4 °C above the mean of the past millennium15, North Atlantic sea - surface temperatures of about 2 °C higher than the modern (PI) temperatures12, 16, and a global sea level 5 — 9 m above the present sea level17.

During the late LIG (120 ka), on the other hand, September sea ice concentrations seems to have been quite similar to the PI (Fig. 4).

That's when from one day to the next large swathes of ice disappear on the University of Bremen sea ice concentration maps.

Core PS2757 - 8 is located on the southern Lomonosov Ridge close to the Laptev Sea continental margin, an area that is predominantly covered by sea ice (Fig. 1; 7/10 summer sea ice concentration) but may occasionally be even ice - free during summSea continental margin, an area that is predominantly covered by sea ice (Fig. 1; 7/10 summer sea ice concentration) but may occasionally be even ice - free during summsea ice (Fig. 1; 7/10 summer sea ice concentration) but may occasionally be even ice - free during summsea ice concentration) but may occasionally be even ice - free during summer.

The forecasting system is based on a synthesis of a model, the NCEP / NCAR reanalysis data, and satellite observations of ice concentration and sea surface temperature.

Smik, L., Cabedo - Sanz & Belt, S. T. Semi-quantitative estimates of paleo Arctic sea ice concentration based on source - specific highly branched isoprenoid alkenes: a further development of the PIP25 index.

Zhang and Lindsay, 5.1 (± 0.4), Modeling Our seasonal prediction focuses not only on the total Arctic sea ice extent and ice concentration field, but also on ice thickness field and ice edge location.

Kaleschke and Tian - Kunze, 3.6 (± 0.7), Heuristic / Statistical (same as June) Based on February / March SMOS sea ice thickness and September SSMI sea ice concentration we provide a heuristic / statistical guesstimate for the 2015 September sea ice extent: 3.6 (± 0.7) million km2.

Because of the importance of initial conditions for the sea ice state, more work is needed on remote sensing retrieval and interpretation of spring and summer ice concentrations and ice conditions, even if the present operational algorithms are not changed.

Wang, 5.0 (± 0.27), Modeling A projected September Arctic sea ice extent of 5.0 million km2 is based on a NCEP ensemble mean CFSv2 forecast initialized from the NCEP Climate Forecast System Reanalysis (CFSR) that assimilates observed sea ice concentrations and other atmospheric and oceanic observations.

«Impacts of Assimilating Satellite Sea Ice Concentration and Thickness on Arctic Sea Ice Prediction in the NCEP Climate Forecast System» J. Climate 0, (https://doi.org/10.1175/JCLI-D-17-0093.1).

The forecast is based on ice age, sea ice concentration, 925hPa temperatures, and the Arctic Oscillation Index.

Because of the importance of initial conditions for the sea ice state, more work is needed on remote sensing retrieval and interpretation of spring and summer ice concentrations and ice condition, even if the present operational algorithms are not changed.

Method: Daily updated statistical regression based on sea ice concentration derived from 85 GHz SSM / I data.

Instead, we are interested in isolating the role of sea ice thickness on the atmosphere and quantifying its contribution compared to sea ice concentration.

---- Doddridge and Marshall, 2017 http://onlinelibrary.wiley.com/doi/10.1002/2017GL074319/abstract Through analysis of remotely - sensed sea surface temperature (SST) and sea ice concentration data we investigate the impact of winds related to the Southern Annular Mode (SAM) on sea ice extent around Antarctica.

The mean ice concentration anomaly for June 2013 is 0.9 x 106 square kilometers greater than June 2012, however Arctic sea ice thicknesses and volumes continue to remain the lowest on record.

Earlier studies have predominately focused on the loss of sea ice concentration (fraction of ice within an area) and therefore the total sea ice extent (Fig. 1).

June ice extent defined as the 30 % ice concentration in the Greenland Sea / Fram Strait and Barents Sea based on the Norwegian ice charts (blue = 2013, red = 2012, orange = 2011, green = 2010, yellow = 2009).

Petty (NASA - GSFC / UMD), 4.12 (± 0.30), Statistical Based on an analysis of June sea ice concentration data provided by the NSIDC (NASA Team), I forecast a 2016 September Arctic sea ice extent of 4.12 + / - 0.30 million km2.

NMEFC of China (Li and Li), 4.02 (3.10 - 4.57), Statistical We predict the September monthly average sea ice extent of Arctic by statistic method and based on monthly sea ice concentration and extent from National Snow and Ice Data Centice extent of Arctic by statistic method and based on monthly sea ice concentration and extent from National Snow and Ice Data Centice concentration and extent from National Snow and Ice Data CentIce Data Center.

Sea ice concentration reached a new record low in mid-Sept 2012 based on NSIDC data.

Just a short list: — you go on and on about SMB causing a net reduction of sea level in Antarctica (and sometimes Greenland), completely ignoring that SMB is not the total ice mass balance — you routinely mentioned that human emissions aren't increasing the CO2 concentration because those emissions didn't increase for several years in a row, but concentration did.

Sea ice concentration, which is independently measured and well observed by passive microwave satellite sensors, gives additional important information on changes in the Antarctic environment.

Any field - or ship - based updates on ice conditions in the different regions such as sea ice morphology (e.g., concentration, ice type, floe size, thickness, snow cover, melt pond characteristics, topography), meteorology (surface measurements) and oceanography (e.g., temperature, salinity, upper ocean temperature).

Top row (a — c): Regressions of the leading detrended Z850 PC timeseries with anomalies in continental Antarctic temperature from M10 (colors on Antarctic land), sea ice concentration (colors over ocean; (note the sea ice colorscale is reversed with respect to the temperature colorscale), and geopotential height (contours).