Sentences with phrase «ice concentration data»

NOAA@NSIDC is pleased to announce the release of Version 3 Revision 1 of the NOAA / NSIDC Climate Data Record of Passive Microwave Sea Ice Concentration data product.

Kaleschke and Halfmann; 4.9 million square kilometers; Statistical Our forecast has not changed from last month, but we describe in our report what we would have done differently if we would have recent sea ice concentration data.

Improving Arctic sea ice edge forecasts by assimilating high horizontal resolution sea ice concentration data into the US Navy's ice forecast systems.

The forecast model uses past sea ice concentration data to find regions of predictive importance for September sea ice extent.

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.

Raw model sea ice concentration data was processed using a simple linear regression model and satellite derived ice extent to produce bias corrected predictions.

For all the ensemble members, we used one regression model using 27 years of past model data and NSIDC Merged SMMR and SSM / I sea ice concentration data to estimate and correct for systematic model bias.

---- 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.

Pond formation and small floe sizes in dispersed ice (and coastal effects on the radiometer signal) contribute to substantial biases in the derived ice concentration data.

Ice concentration data are based on AMSR - E products; see http://www.seaice.de.

The ensemble predictions are based on a synthesis of a model, NCEP / NCAR reanalysis data, and satellite ice concentration data.

We introduced following improvements: high resolution (AMSR - E) sea ice concentration data, a time - domain filter that reduces observational noise, and a space - domain selection that neglects the outer seasonal ice zones.

The Bootstrap sea ice concentration data set is believed to be more useful for modeling and process studies in the polar regions because it is generally free of residual errors that could not be removed by conventional techniques.

Improvements were made to the statistical method, including the use of high resolution AMSR - E sea ice concentration data, a time - domain filter of five days that reduces observational noise, and a space - domain selection that neglects the outer seasonal ice zones.

The OSI SAF reprocessed sea ice concentration data set (OSI - 409) has been updated and a new version v1.1 released.

NASA Earth Observatory images created by Jesse Allen and Rob Simmon, using AMSR - E sea ice concentration data provided courtesy of the National Snow and Ice Data Center.

[17] Before the advent of satellite - based imagery in 1973, sea ice concentration data for the Antarctic are not available, and sea ice extent data are not readily available for indi - vidual months, seasons or years, although some visible and infrared data do exist for 1966 — 1972 [Zwally et al., 1983] and some undigitized charts reside in national archives (e.g., V. Smolyanitsky, personal communication, 2002).

They ran one experiment that assumed seasonally varying Arctic sea ice and utilized sea ice concentration data collected between 1979 and 2010.

NASA images created by Jesse Allen and Rob Simmon, using AMSR - E sea ice concentration data provided courtesy of the National Snow and Ice Data Center.

Not exact matches

Data from the new ice core array illustrates that Antarctic lead concentrations reached a peak in 1900 and remained high until the late 1920s, with brief declines during the Great Depression and the end of World War II.

The research team — which utilized 34,000 data records from 2010 and 2011 — concluded that melting sea ice is diluting seawater and reducing the concentrations of the carbonate minerals critical as building blocks for the shells of marine life.

However, the carbon dioxide concentration in the atmosphere — roughly 290 ppm (parts per million)-- was ca. 110 ppm lower than the current level, as ice core data from the Antarctic shows.

Patrick Crill, an American biogeochemist at Stockholm University, says ice core data from the past 800,000 years, covering about eight glacial and interglacial cycles, show atmospheric methane concentrations between 350 and 800 parts per billion in glacial and interglacial periods, respectively.

At the poles, gamma - ray data from Mars Odyssey show high concentrations of hydrogen — «the icing on the cake,» Head says.

The data from Keck Observatory shows that peroxide is widespread across much of the surface of Europa, and the highest concentrations are reached in regions where Europa's ice is nearly pure water with very little sulfur contamination.

Finnish Meteorological Institute has been doing estimates of two essential sea ice parameters — namely, sea ice concentration (SIC) and sea ice thickness (SIT)-- for the Bohai Sea using a combination of a thermodynamic sea ice model and Earth observation (EO) data from synthetic aperture radar (SAR) and microwave radiometer.

Be that as it may, all these studies, despite the large variety in data used, model structure and approach, have one thing in common: without the role of CO2 as a greenhouse gas, i.e. the cooling effect of the lower glacial CO2 concentration, the ice age climate can not be explained.

We know from data that we have caused the CO2 concentration in the atmosphere to rise sharply during the past century: it is now much higher than any time during the past 650,000 years (which is as far back as reliable ice core data exist).

«the European Project for Ice Coring in Antarctica (EPICA) established a precise link between climate records from Greenland and Antarctica using data on global changes in methane concentrations derived from trapped air bubbles in the ice.&raqIce Coring in Antarctica (EPICA) established a precise link between climate records from Greenland and Antarctica using data on global changes in methane concentrations derived from trapped air bubbles in the ice.&raqice.»

``... sea ice concentration (SIC) data * of AMSR - E standard products are used for area calculation.

She and her co-author, Harry Stern, principal mathematician at the PSC, used 35 years of satellite data to examine sea ice concentrations around the entire Arctic.

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.).

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.

This hindcast uses two time - varying inputs: 10 - meter wind vectors from the atmospheric model NAVGEM (Navy Global Environmental Model, Hogan et al. 2014) run at the Fleet Numerical Meteorology and Oceanography Center (FNMOC), and analyses of ice concentrations (also produced at FNMOC) from passive microwave radiometer data (SSM / I).

«Carbon Isotope Data in Core V19 - 30 Confirm Reduced Carbon Dioxide Concentration in the Ice Age Atmosphere.»

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).

CERSAT distributes daily sea ice extent and concentration data (local percentage of the ocean surface covered by sea ice).

«We build on this insight to demonstrate directly from ice - core data that, over glacial — interglacial timescales, climate dynamics are largely driven by internal Earth system mechanisms, including a marked positive feedback effect from temperature variability on greenhouse - gas concentrations.»

The EUMETSAT Ocean and Sea Ice Satellite Application Facility (OSI SAF) team is pleased to announce the release of OSI - 450, a new full reprocessing of its Sea Ice Concentration (SIC) Climate Data Record (CDR).

But it is a proxy, because the idea that that it is not a proxy rests on the tenuous and unproven assumption that the chemical composition of the ice - core data does not undergo any fractionation processes before closing and after closing that affect the chemical composition of the bubbles thereby perfectly preserving the atmospheric concentration of CO2.

If the ice - core data were reliable I still can not see why the raw measurements depict CO2 concentrations that fluctuate between 170ppm - 2450ppm.

The idea that the ice - core measurements are «reliable» seems highly unlikely to me, especially considering that the raw data (before adjustment) depicted CO2 concentrations oscillating between 170pp - 700 pm and even as high as 2450ppm.

Global sea ice concentration climate data records 1978 - 2015 (v1.2, 2015), [Online].

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).

Maybe I'm the only one having trouble here, but I don't understand why you've presented an argument based on emissions and land use data estimates when the significant parameter (atmospheric CO2 concentration) has been more directly and precisely measured via ice core data.

Also of note is new data showing large regions of low sea ice concentrations within the boundary of sea ice extent at the end of July.

Data is from the National Snow and Ice Data Center, monthly sea ice concentration derived from the passive microwave record (NASA Team algorithIce Data Center, monthly sea ice concentration derived from the passive microwave record (NASA Team algorithice concentration derived from the passive microwave record (NASA Team algorithm).

which includes bias corrections for XBT and MDT data, and satellite - based sea ice concentrations from the EUMETSAT Ocean Sea Ice satellite Application Facility (OSI - Sice concentrations from the EUMETSAT Ocean Sea Ice satellite Application Facility (OSI - SIce satellite Application Facility (OSI - SAF,

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.