Sentences with phrase «satellite microwave data»

Buehler S. A, M. Kuvatov, V. O. John, M. Milz, B. J. Soden, D. L. Jackson and J. Notholt (July 2008): An upper tropospheric humidity data set from operational satellite microwave data.

Combined with satellite microwave data, the new real - time observations will improve forecasts of tropical cyclones.

In the future, Stern said higher - resolution satellite microwave data might come in handy when studying the interactions of Arctic marine mammals with their icy habitat.

Not exact matches

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.

The data to assess sea - ice coverage come from polar - orbiting satellites carrying passive - microwave sensors that can see through clouds.

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.

In contrast, the Scripps team opted to directly correlate albedo measurements made by NASA's CERES instrument data with observations of sea ice extent made by the Special Sensor Microwave Imager (SSM / I) radiometers aboard Defense Meteorological Satellite Program satellites.

Satellites collect data from the radiation emitted from the Big Bang, which is called the Cosmic Microwave Background, or CMB.

As part of an ongoing joint project between UAH, NOAA and NASA, Christy and Dr. Roy Spencer, an ESSC principal scientist, use data gathered by advanced microwave sounding units on NOAA and NASA satellites to get accurate temperature readings for almost all regions of the Earth.

The first such map was created in 1992, based on data gathered by the Differential Microwave Radiometer (DMR), an instrument on the Cosmic Background Explorer (COBE) satellite, which NASA launched in 1989.

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).

The data presented in this case included both surface analyses (GISTEMP, NCDC, and HadCRUT3) in addition to satellite products for the lower troposphere (Microwave Sounding Unit — MSU).

(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.

Both the Microwave Sounding Unit (MSU) satellite (analyzed by the University of Alabama in Huntsville by John Christy and Roy Spencer) and weather balloon data (trends reported by a number of researchers, notably Jim Angell at NOAA) have failed to show significant warming since the satellite record began in late 1978, even though the surface record has been rising at its fastest pace (~ 0.15 C / decade) since instrumental records began.

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).

These ice - age maps are based on tracking the motion of sea ice using passive - microwave satellite data.

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.

The Special Sensor Microwave Imager and Sounder (SSMIS) on the Defense Meteorological Satellite Program (DMSP) F - 17 satellite that provides passive microwave brightness temperatures (and derived Arctic and Antarctic sea ice products) has been providing spurious data since beginning of AprMicrowave Imager and Sounder (SSMIS) on the Defense Meteorological Satellite Program (DMSP) F - 17 satellite that provides passive microwave brightness temperatures (and derived Arctic and Antarctic sea ice products) has been providing spurious data since beginning of Aprmicrowave brightness temperatures (and derived Arctic and Antarctic sea ice products) has been providing spurious data since beginning of April, 2016.

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.

As part of an ongoing joint project between UAHuntsville, NOAA and NASA, Christy and Dr. Roy Spencer, an ESSC principal scientist, use data gathered by advanced microwave sounding units on NOAA and NASA satellites to get accurate temperature readings for almost all regions on the Earth.

The most reliable sets of global temperature data we have, using satellite microwave sounding units, show no appreciable temperature increases during the critical period 1978 - 1997, just when the surface station data show a pronounced rise.

As a further indication, satellite - mounted Microwave Sounding Unit (MSU) data13 matches lower - bound trends moderately well over the period of overlapping data, leaving the GISTEMP6 estimate looking anomalously high.

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.

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 2008).

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.

Microwave radiometry data are used to construct brightness temperatures: an indication of the intensity of electromagnetic energy at a particular wavelength that filters up through the atmosphere and reaches the satellite's sensor.

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 othermicrowave grids from the Scanning Multichannel Microwave Radiometer (SMMR) / Special Sensor Microwave / Imager (SSM / I) period, 1978 - 97 (Parkinson and otherMicrowave Radiometer (SMMR) / Special Sensor Microwave / Imager (SSM / I) period, 1978 - 97 (Parkinson and otherMicrowave / 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 2002microwave instrument on the DMSP satellites, but IMS uses the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR - E) instrument on the Aqua satellite from 2002Microwave Scanning Radiometer - Earth Observing System (AMSR - E) instrument on the Aqua satellite from 2002 to 2011.

Arctic sea ice concentration from operational ice charts and satellite passive microwave data.

«Based on a new analysis of passive microwave satellite data, we demonstrate that the annual mean extent of Antarctic sea ice has increased at a statistically significant rate of 0.97 % dec - 1 since the late 1970s.»

Multi-spectral and active microwave data from satellites, plus an effective network of ecological plots, appear capable of monitoring response to climate change.

NASA, Jet Propulsion Laboratory (JPL), California Institute of Technology (CIT), Earth Observing System (EOS), Microwave Limb Sounder (MLS) issued a series of maps derived from their data from the Aura satellite on September 21, 2005 (2005d264).

Useful satellite data concerning sea ice began in late 1978 with the launch of NASA's Scanning Multichannel Microwave Radiometer (SMMR) satellite.

The two satellite data sets, RSS and UAH, use the Microwave Sounding Units (MSU) of orbiting satellites to estimate lower tropospheric temperature.

Ice extent (monthly means, June) southern border of 30 % ice concentration, in the Greenland Sea / Fram Strait and Barents Sea, based on passive microwave satellite data (red = June 2012, orange = mean June 1999 - 2008, purple = mean June 1980 - 1999, green = mean June 1979 - 2008)[Gerland et al.].

The Special Sensor Microwave Imager and Sounder (SSMIS) on the Defense Meteorological Satellite Program (DMSP) F - 17 satellite that provides passive microwave brightness temperatures (and derived Arctic and Antarctic sea ice products) has been providing spurious data since the beginning of AprMicrowave Imager and Sounder (SSMIS) on the Defense Meteorological Satellite Program (DMSP) F - 17 satellite that provides passive microwave brightness temperatures (and derived Arctic and Antarctic sea ice products) has been providing spurious data since the beginning of Aprmicrowave brightness temperatures (and derived Arctic and Antarctic sea ice products) has been providing spurious data since the beginning of April, 2016.

So, although NSIDC refers to additional satellite data in developing our analysis, we primarily rely on passive - microwave data for Arctic Sea Ice News & Analysis images and content, and for tracking long - term change.

Since December 1978, microwave sounding units on satellites have produced data which can be used to infer temperatures in the troposphere.

The past experience of the climate research community with the Microwave Sounding Unit (MSU) and Advanced Microwave Sounding Unit (AMSU) provides a constructive case study in the challenges associated with constructing CDRs with satellite data.