The Sea Ice Index relies on NASA - developed methods to estimate sea ice conditions using passive -
microwave data from the Defense Meteorological Satellite Program (DMSP) the Special Sensor Microwave Imager / Sounder (SSMIS).
Multi-spectral and active
microwave data from satellites, plus an effective network of ecological plots, appear capable of monitoring response to climate change.
Christopher A. Shuman Research Scientist, NASA Goddard Space Flight Center Specialties: Ice elevation changes and glacier mass losses using altimetry in combination with other remote sensing in the Antarctica Peninsula, the accuracy of early ICESat - 1 data, composite temperature records derived from AWS passive
microwave data from SMMR and SSM / I and IR data from AVHRR
(1) In addition to the data of the near - surface temperatures, which are composed of measurements from weather stations and sea surface temperatures, there is also
the microwave data from satellites, which can be used to estimate air temperatures in the troposphere in a few kilometers altitude.
A research group led by Masumi Shimojo (Assistant Professor at NAOJ Chile Observatory), including members from Nagoya University, Kyoto University, and Ibaraki University, analyzed the more than 60 years of solar
microwave data from these telescopes.
Not exact matches
That's a lofty goal considering that today it is the No. 5 player in refrigerators and automatic washer / dryers, according to market share
data from Euromonitor International, and isn't in Euromonitor's top 5 in dishwashers, ovens or
microwaves.
RE: Just a little piecprsteve on the credibility of the authors of the study: Study co-author Dr. Roy Spencer, a principal research scientist at the University of Alabama in Huntsville and U.S. Science Team Leader for the Advanced
Microwave Scanning Radiometer flying on NASA's Aqua satellite, reports that real - world
data from NASA's Terra satellite contradict multiple assumptions fed into alarmist computer models.
This date is 140 million years later than the previous best estimate of 420 million years post — big bang, which came in 2006 using CMB
data from the Wilkinson
Microwave Anisotropy Probe (WMAP).
For now, the centre is preparing for those scenarios by incorporating
data from Japan's AMSR2
microwave sensor into its sea - ice record.
Data from NASA's Wilkinson
Microwave Anisotropy Probe, or WMAP, provide compelling evidence that the cosmos has the full critical density.
The
data to assess sea - ice coverage come
from polar - orbiting satellites carrying passive -
microwave sensors that can see through clouds.
Dark matter, the mystery mass that, according to
data from the Wilkinson
Microwave Anisotropy Probe, outweighs ordinary atoms by more than five to one: That was Zwicky's.
In recent decades, advances in telescopes and sensing equipment have allowed scientists to detect a vast amount of
data hidden in the «white noise» or
microwaves (partly responsible for the random black and white dots you see on an un-tuned TV) left over
from the moment the universe was created.
Even though the
data from the cosmic
microwave background shows that dark energy is required, its composition remains unclear.
If the
data from different parts of the sky agree with one another, Jones says, then they probably have a common origin in the cosmic
microwave background.
The
data come
from two different
microwave sensors, the first aboard the Nimbus 7 satellite, which flew
from 1978 to 1987, and the second
from the Defense Meteorological Satellite Programme, which has flown since 1987.
The team used
data from an Italian satellite that bounces
microwave laser pulses off the ground and records the time it takes the light to return.
More evidence came last year, when
data from the Wilkinson
Microwave Anisotropy Probe, or WMAP, which analyzes the cosmic radiation left over
from the Big Bang, found that dark energy makes up a full 73 percent of everything in the universe.
The map was compiled
from data collected by the Wilkinson
Microwave Anisotropy Probe, or WMAP, a NASA orbiting laboratory that was launched June 30, 2001.
Data from NASA's Wilkinson
Microwave Anisotropy Probe (WMAP), launched in 2001, bolstered a key prediction of inflation, that the universe's structure was seeded by quantum fluctuations in space - time.
Merging X-ray
data (blue)
from NASA's Chandra X-ray Observatory with
microwave (orange) and visible images reveals the jets and radio - emitting lobes emanating
from Centaurus A's central black hole.
The team calculated the likely temperature profiles for such impacts and searched for them in CMB
data from NASA's Wilkinson
Microwave Anisotropy Probe.
Satellites collect
data from the radiation emitted
from the Big Bang, which is called the Cosmic
Microwave Background, or CMB.
Such a comb can form a bridge spanning the huge frequency gap
from microwaves to visible light: very precise
microwave measurements can, with an optical comb, produce equally exact
data about light.
Viewers can see the
microwave residue
from the big bang «painted» across the sphere of the sky, and — after the
data are translated for human ears — hear a version of what the early universe may have sounded like.
The team then examined a
data set of passive
microwave measurements
from the Defense Meteorological Satellite Program.
While there remain disparities among different tropospheric temperature trends estimated
from satellite
Microwave Sounding Unit (MSU and advanced MSU) measurements since 1979, and all likely still contain residual errors, estimates have been substantially improved (and
data set differences reduced) through adjustments for issues of changing satellites, orbit decay and drift in local crossing time (i.e., diurnal cycle effects).
GTTA are represented by
data from satellite
microwave sensing units (MSU) for the period 1980 — 2008 and
from radiosondes (RATPAC) for 1958 — 2008.
Arctic sea - ice cover is predicted
from coming July 1 to November 1, using the
data from satellite
microwave sensors, AMSR - E (2002/03 -2010 / 11) and AMSR2 (2012/13 -2016 / 17).
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.
Melt extent
from the MAR model compares favourably to
microwave data.
While there remain disparities among different tropospheric temperature trends estimated
from satellite
Microwave Sounding Unit (MSU and advanced MSU) measurements since 1979, and all likely still contain residual errors, estimates have been substantially improved (and
data set differences reduced) through adjustments for issues of changing satellites, orbit decay and drift in local crossing time (i.e., diurnal cycle effects).
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).
The satellite
data come
from the European Remote Sensing satellite scatterometers (ERS - 1 and ERS - 2), NASA scatterometers (NSCAT and Seawinds onboard ADEOS - 1 and QuikScat respectively), and several defense Meteorological Satellite Program (DMSP) radiometers (Special Sensor
Microwave / Imager [SSM / I] F10 - F15).
These were based on U.S. Navy, Canadian and Danish aerial reconnaissance
data and
from retrievals
from advanced very high resolution radiometer (AVHRR), passive
microwave, and other satellite instruments
These maps rely on mathematical models that process raw
data on the amounts of
microwave radiation that reach a variety of satellite sensors
from cloud ice content and the land and ocean surfaces below.
Recent Northern Hemisphere snow extent: A comparison of
data derived
from visible and
microwave sensors.
Michaels pointed to record Antarctic ice, which «is at its highest extent measured by the current
microwave satellite sounding system» since 1978, according to
data from the University of Illinois» Polar Ice Research Center.
That leaves me pretty impressed with the way they've extracted ice extent
from the raw
microwave data.
Since December 1978, the National Oceanic and Atmospheric Administration's polar - orbiting satellites have measured upwelling
microwave radiation
from atmospheric oxygen, and Spencer and Christy use this
data to calculate the temperature of broad volumes of the atmosphere.
With John Christy he presents the monthly real - world
data from the
microwave sounding unit satellites that provide the least inaccurate global temperature record we have.
Data is
from the National Snow and Ice
Data Center, monthly sea ice concentration derived
from the passive
microwave record (NASA Team algorithm).
The researchers compared the GNSS - R satellite measurements with
data from other sources, including tropical cyclone best track
data from the National Oceanic and Atmospheric Administration's National Centers for Environmental Information; two climate reanalysis products; and a spaceborne scatterometer, a tool that uses
microwave radar to measure winds near the surface of the ocean.
Figure is based on daily arctic sea ice extent
from passive
microwave satellite
data (SSM / I).
The primary sources of the post-1972
data are the hemispheric fields of sea - ice concentration
from (1) the U.S. National Ice Center (NIC), whose weekly grids (derived primarily
from satellite
data) span the period 1972 - 1994, and (2) the satellite passive -
microwave grids from the Scanning Multichannel Microwave Radiometer (SMMR) / Special Sensor Microwave / Imager (SSM / I) period, 1978 - 97 (Parkinson and other
microwave grids
from the Scanning Multichannel
Microwave Radiometer (SMMR) / Special Sensor Microwave / Imager (SSM / I) period, 1978 - 97 (Parkinson and other
Microwave Radiometer (SMMR) / Special Sensor
Microwave / Imager (SSM / I) period, 1978 - 97 (Parkinson and other
Microwave / Imager (SSM / I) period, 1978 - 97 (Parkinson and others, 1999).
NASA Earth Observatory image by Jesse Allen, using
data from the Advanced
Microwave Scanning Radiometer 2 AMSR - 2 sensor on the Global Change Observation Mission 1st - Water (GCOM - W1) satellite.
GTTA are represented by
data from satellite
microwave sensing units (MSU) for the period 1980 — 2008 and
from radiosondes (RATPAC) for 1958 — 2008.
Our estimate is based on a statistical way using
data from satellite
microwave sensor.
Except when satellites are inferring temperature
from microwave sounding units, in which case the fixed locations on the surface taking direct measurements with thermometers have had their real
data manipulated to achieve a desired result.
Note: The Sea Ice Index input
data comes
from the passive
microwave instrument on the DMSP satellites, but IMS uses the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR - E) instrument on the Aqua satellite from 2002
microwave instrument on the DMSP satellites, but IMS uses the Advanced
Microwave Scanning Radiometer - Earth Observing System (AMSR - E) instrument on the Aqua satellite from 2002
Microwave Scanning Radiometer - Earth Observing System (AMSR - E) instrument on the Aqua satellite
from 2002 to 2011.