Wadhams has spent many years collecting
ice thickness data from submarines passing below the arctic ocean.
Johannes Fürst, a researcher at the University of Erlangen - Nuremberg's Institute of Geography in Germany, and colleagues report in Nature Climate Change that they analysed years of
ice thickness data from European Space Agency satellites and airborne measurements.
NASA Icebridge - Snow depth and sea
ice thickness data from the Quick Look data product.
As in 2012, sea ice thinning and not just anomalous weather should contribute to September 2013 sea ice loss (see the discussion of the IceBridge sea
ice thickness data from the June Report).
Millan, a UCI graduate student researcher in Earth system science, and his colleagues analyzed 20 major outlet glaciers in southeast Greenland using high - resolution airborne gravity measurements and
ice thickness data from NASA's Operation IceBridge mission; bathymetry information from NASA's Oceans Melting Greenland project; and results from the BedMachine version 3 computer model, developed at UCI.
Not exact matches
The study uses
data from two NASA missions — Operation IceBridge, which measures
ice thickness and gravity
from aircraft, and Oceans Melting Greenland, or OMG, which uses sonar and gravity instruments to map the shape and depth of the seafloor close to the
ice front.
Initial interpretations of
data from Cassini flybys of Enceladus estimated that the
thickness of its
ice shell ranged
from 30 to 40 km at the south pole to 60 km at the equator.
Using all available geologic, tectonic and geothermal heat flux
data for Greenland — along with geothermal heat flux
data from around the globe — the team deployed a machine learning approach that predicts geothermal heat flux values under the
ice sheet throughout Greenland based on 22 geologic variables such as bedrock topography, crustal
thickness, magnetic anomalies, rock types and proximity to features like trenches, ridges, young rifts, volcanoes and hot spots.
The researchers combined
data gathered
from the buoys between 2002 and 2015 with satellite estimates of
ice thickness in this region to better understand changes affecting the Arctic Ocean in recent years.
Khan and his colleagues combined GNET
data with
ice thickness measurements taken by four different satellites: the Airborne Topographic Mapper (ATM), the Ice, Cloud and Land Elevation Satellite (ICESat), and the Land, Vegetation and Ice Sensor (LVIS) from NASA; and the Environmental Satellite (ENVISAT) from the European Space Agen
ice thickness measurements taken by four different satellites: the Airborne Topographic Mapper (ATM), the
Ice, Cloud and Land Elevation Satellite (ICESat), and the Land, Vegetation and Ice Sensor (LVIS) from NASA; and the Environmental Satellite (ENVISAT) from the European Space Agen
Ice, Cloud and Land Elevation Satellite (ICESat), and the Land, Vegetation and
Ice Sensor (LVIS) from NASA; and the Environmental Satellite (ENVISAT) from the European Space Agen
Ice Sensor (LVIS)
from NASA; and the Environmental Satellite (ENVISAT)
from the European Space Agency.
Level 2
data represent geolocated geophysical properties (e.g
ice thickness), derived
from Level 1B measurements (e.g. radar echo delay).
Antarctic
ice shelf
thickness changes calculated
from ICEsat
data.
First, we expect the
ice thickness distribution in April 30
from redistribution (divergence / convergence) of sea
ice during December and April, based on the daily
ice velocity
data.
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.
At FMI algorithms and procedures have been developed for producing daily thin
ice thickness (< 0.5 m) charts for the Arctic in wintertime based on
ice surface temperature which is retrieved
from the thermal infrared
data of the MODIS spectrometer.
The team, which Marc led and provided the logistical support for, deployed
from Resolute to Nord Greenland before setting up a rustic field camp on the sea
ice for six days, during which time we mechanically drilled the
ice to measure
thickness, measuring snow depth in a grid pattern along the flight lines as well as dragging instruments along the surface that produced the same measurements for comparison to the airborne
data.
At FMI algorithms and procedures have been developed for producing daily thin
ice thickness (< 0.5 m) charts for the Arctic in wintertime based on
ice surface temperature which is retrieved
from the thermal infrared
data of the MODIS spectrometer.
The most recent
ice data, 10 June 2013,
from a SAMS
ice mass balance buoy installed in the fast
ice in Inglefieldbukta (N 77 ° 54», E 18 ° 17») reported an
ice thickness of about 88 cm and snow depth 20 cm.
IceBridge
data are collected
from aircraft that fly over the
ice cover carrying a suite of instruments, including altimeters that can directly measure
ice thickness above the surface.
Advance methods to produce freeboard and sea
ice thickness profiles
from radar altimeter (RA)
data.
Scientists
from the University of Erlangen - Nuremberg Institute of Geography and
from the Laboratoire de Glaciologie et Gophysique de l'Environnement in Grenoble, France, used radar
data from satellites such as ESA's Envisat and observations of
ice thickness from airborne surveys in a complex model to demonstrate, for the first time, how the buttressing role of the
ice shelves is being compromised as the shelves decline.
Further: We calculate Arctic sea
ice thickness and volume values
from the standard, publically available CryoSat
data as well as
from near real time (NRT) CryoSat
data provided directly to us
from the European Space Agency.
However, our monthly sea
ice volumes calculated
from NRT and standard
data agree to within 0.5 % on average, which shows that the NRT
data allow us provide users with a reliable operational
thickness and volume product.
«IceBridge has collected so much
data on elevation and
thickness that we can now do analysis down to the individual glacier level and do it for the entire
ice sheet,» said Michael Studinger, IceBridge project scientist at NASA's Goddard Space Flight Center in Greenbelt, Md. «We can now quantify contributions
from the different processes that contribute to
ice loss.»
Researchers used
data from IceBridge's
ice - penetrating radar — the Multichannel Coherent Radar Depth Sounder, or MCoRDS, which is operated by the Center for Remote Sensing of Ice Sheets at the University of Kansas, Lawrence, Kan. — to determine ice thickness and sub-glacial terrain, and images from satellite sources such as Landsat and Terra to calculate veloci
ice - penetrating radar — the Multichannel Coherent Radar Depth Sounder, or MCoRDS, which is operated by the Center for Remote Sensing of
Ice Sheets at the University of Kansas, Lawrence, Kan. — to determine ice thickness and sub-glacial terrain, and images from satellite sources such as Landsat and Terra to calculate veloci
Ice Sheets at the University of Kansas, Lawrence, Kan. — to determine
ice thickness and sub-glacial terrain, and images from satellite sources such as Landsat and Terra to calculate veloci
ice thickness and sub-glacial terrain, and images
from satellite sources such as Landsat and Terra to calculate velocity.
The ensemble consists of seven members each of which uses a unique set of NCEP / NCAR atmospheric forcing fields
from recent years, representing recent climate, such that ensemble member 1 uses 2005 NCEP / NCAR forcing, member 2 uses 2006 forcing..., and member 7 uses 2011 forcing... In addition, the recently available IceBridge and helicopter - based electromagnetic (HEM)
ice thickness quicklook
data are assimilated into the initial 12 - category sea
ice thickness distribution fields in order to improve the initial conditions for the predictions.
Here,
thickness data, which are sorely lacking but available in a few locations as the result of International Polar Year efforts and
from satellite - derived estimates of
ice age or type, constrain modeled
thickness distributions.
Kaleschke and Rickert provided an estimate of the difference between March 2013 and March 2012
ice thickness based on preliminary
data from the European Space Agency's satellites CryoSat - 2 and SMOS (Figure 6).
To determine how much
ice and snowfall enters a specific
ice shelf and how much makes it to an iceberg, where it may split off, the research team used a regional climate model for snow accumulation and combined the results with
ice velocity
data from satellites,
ice shelf
thickness measurements
from NASA's Operation IceBridge — a continuing aerial survey of Earth's poles — and a new map of Antarctica's bedrock.
These missions - satellite radar altimetry projects overseen by the European Space Agency (ESA)- lasted
from 1994 to 2012, providing the researchers plenty of
data that could even be overlapped and compared to ensure an accurate assessment of
ice shelf
thickness for more than a decade.
We appreciate the addition of recent
ice thickness data estimated from the European Space Agency CryoSat - 2 satellite, the NASA IceBridge airborne campaign, and Office of Naval Research (ONR) Marginal Ice Zone Program buo
ice thickness data estimated
from the European Space Agency CryoSat - 2 satellite, the NASA IceBridge airborne campaign, and Office of Naval Research (ONR) Marginal
Ice Zone Program buo
Ice Zone Program buoys.
CryoSat was launched in 2010 to measure sea -
ice thickness in the Arctic, but
data from the Earth - observing satellite have also been exploited for other studies.
That is the discovery made by scientists using
data from CryoSat - 2, the European probe that has been measuring the
thickness of Earth's
ice sheets and glaciers since it was launched by [continue reading...]
Until then, we have some new observational
data of Canadian sea
ice thickness and this remarkable figure of sea ice volume since 1979 from Neven's Arctic Sea Ice Blog, based on data from the University of Washington's Polar Science Center [click to enlarg
ice thickness and this remarkable figure of sea
ice volume since 1979 from Neven's Arctic Sea Ice Blog, based on data from the University of Washington's Polar Science Center [click to enlarg
ice volume since 1979
from Neven's Arctic Sea
Ice Blog, based on data from the University of Washington's Polar Science Center [click to enlarg
Ice Blog, based on
data from the University of Washington's Polar Science Center [click to enlarge]:
By comparing measurements of
ice thickness between 1958 and 1976 with
data from 1993 and 1997, he determined that the
thickness had decreased
from 10.2 feet in the early period to 5.9 feet in the 1990's.
* To the right is an example of a
data table taken
from the IceBridge MCoRDS L2
Ice Thickness data set
Combined
data sets of draft and
thickness from submarine sonars, satellite altimetry and airborne electromagnetic sensing provide broadly consistent and strong evidence of decrease in Arctic sea
ice thickness in recent years.
Using Envisat radar altimeter
data, scientists
from the Centre for Polar Observation and Modelling at University College London (UCL) measured sea
ice thickness over the Arctic
from 2002 to 2008 and found that it had been fairly constant until the record loss of
ice in the summer of 2007.
The team established a group of un-manned scientific platforms, collectively called an observatory, to record
data throughout the remainder of the year on everything
from the salinity of the water to the
thickness and temperature of the
ice cover.
This is done by using elevation
data from the European Space Agency's CryoSat - 2 and applying Archimedes's principle of buoyancy, which relates the
thickness of floating
ice to the height of its surface.