Not exact matches
In the new paper, published in the journal Environmental Research Letters, Höglund - Isaksson estimated global methane emissions from oil and gas systems in over 100 countries over a 32 - year period, using a variety of country - specific
data ranging from reported volumes of associated gas to satellite imagery that can show flaring, as well as
atmospheric measurements of ethane, a gas which is released along with methane and easier to link more directly to oil and gas activities.
Diving deeper into the complex puzzle of mass strandings, the team decided to expand their analysis and include additional oceanographic and
atmospheric data sets from NASA's Earth science missions, including Terra, the Sea - viewing Wide Field - of - view Sensor — or SeaWIFS, for short — and Global Precipitation
Measurement, as well as the National Oceanic and
Atmospheric Administration's Geostationary Operational Environmental Satellite, or GOES, mission.
Because
atmospheric conditions such as wind and temperature can greatly affect particulate - matter
measurements, researchers from EPIC - India and the Evidence for Policy Design initiative at Harvard University in Cambridge, Massachusetts, gathered
data from air - quality monitors in New Delhi and placed monitors in three adjacent cities as a control.
The work included
data from a variety of sources, including national emissions inventories kept by the United Nations, global estimates of energy use and direct
measurements of
atmospheric CO2 concentrations, and involved dozens of authors from institutes around the world.
To remedy this, Sundar Christopher, an
atmospheric scientist at the University of Alabama at Huntsville, compared satellite
data with ground
measurements in well - studied areas.
«This is the only long - term
data set with regular
measurements of ozone - destroying compounds in the stratosphere,» says
atmospheric chemist Darin Toohey of the University of California, Irvine.
Other
data, such as
atmospheric measurements, were not held by the permit holder or submitted to the government.
This mission is fulfilled by operating
atmospheric observatories around the world that collect massive amounts of
atmospheric measurements to provide
data products that help scientists study the effects and interactions of clouds and aerosols and their impact on the earth's energy balance.
In addition to taking
measurements, the ARM Facility recently began building
data sets that can be incorporated into
atmospheric models.
Such
measurements will probe the
atmospheric structure and composition, providing unique information useful not just in the solar system but also in the study of Jupiter - like exoplanets, where no comparable
data will be available for the foreseeable future.
To find out,
atmospheric experts at Pacific Northwest National Laboratory compared six reanalyses products against observational
data from the U.S. Department of Energy's
Atmospheric Radiation
Measurement (ARM) Climate Research Facility in Oklahoma.
The ARM
data will provide more detailed
measurements of both aerosols and clouds to assist the research team in quantifying the impacts of aerosols on precipitation under a variety of
atmospheric and pollution conditions.
Find out how researchers are using
data from U.S. Department of Energy's
Atmospheric Radiation
Measurement (ARM) Climate Research Facility — the world's most comprehensive outdoor laboratory and
data archive for research related to
atmospheric processes that affect Earth's climate — to improving regional and global climate models.
Find out how researchers are using
data from the U.S. Department of Energy's
Atmospheric Radiation
Measurement (ARM) Climate Research Facility — the world's most comprehensive outdoor laboratory and
data archive for research related to
atmospheric processes that affect Earth's climate — to improve earth system models.
The UAS and TBS
measurements have supplemented
data obtained by the third ARM Mobile Facility at Oliktok Point — part of ARM's North Slope of Alaska
atmospheric observatory — to help improve understanding of
atmospheric processes in the Arctic.
The ARM Aerosol
Measurement Science Group (AMSG) coordinates ARM Climate Research Facility observations of aerosols and
atmospheric trace gases with user needs to ensure advanced, well - characterized observational
measurements and
data products — at the spatial and temporal scales necessary — for improving climate science and model forecasts.
That is the case whether you are extrapolating from paleoclimate
data or from any recent temperature dataset vs
atmospheric CO2 concentration
measurements (eg Keeling curve).
Mike's work, like that of previous award winners, is diverse, and includes pioneering and highly cited work in time series analysis (an elegant use of Thomson's multitaper spectral analysis approach to detect spatiotemporal oscillations in the climate record and methods for smoothing temporal
data), decadal climate variability (the term «Atlantic Multidecadal Oscillation» or «AMO» was coined by Mike in an interview with Science's Richard Kerr about a paper he had published with Tom Delworth of GFDL showing evidence in both climate model simulations and observational
data for a 50 - 70 year oscillation in the climate system; significantly Mike also published work with Kerry Emanuel in 2006 showing that the AMO concept has been overstated as regards its role in 20th century tropical Atlantic SST changes, a finding recently reaffirmed by a study published in Nature), in showing how changes in radiative forcing from volcanoes can affect ENSO, in examining the role of solar variations in explaining the pattern of the Medieval Climate Anomaly and Little Ice Age, the relationship between the climate changes of past centuries and phenomena such as Atlantic tropical cyclones and global sea level, and even a bit of work in
atmospheric chemistry (an analysis of beryllium - 7
measurements).
That is the case whether you are extrapolating from paleoclimate
data or from any recent temperature dataset vs
atmospheric CO2 concentration
measurements (eg Keeling curve).
a)
atmospheric CO2 from human activity is a major bause of observed warming in the 1980's and 1990's, c) that warming is overstated due to a number of factors including solar effects and
measurement skew d) the
data going back 150 years is of little reliability because it is clustered so heavily in northeast america and western europe rather than being global e) the global climate has been significantly shifting over the last thousand years, over the last ten thousand years, and over the last hundred thousand years;
atmospheric CO2 levels did not drive those changes, and some of them were rapid.
The work in question takes
measurements from one locale, and doesn't publish conclusions, rather Doney's statements are giving his opinion about what he read, «Long - term ocean acidification trends are clearly evident over the past several decades in open - ocean time - series and hydrographic survey
data, and the trends are consistent with the growth rate of
atmospheric carbon dioxide (Dore et al., 2009).»
AIRS
data are less reliable than
atmospheric measurements: accuracy is about + / - 5 ppmv, against NDIR
measurements + / -0.1 ppmv.
In 1990, he joined with a colleague, Roy Spencer, to use
measurements taken by NASA satellites since 1979 to produce the first global
atmospheric temperature
data.
WOUDC is one of six GAW WDCs that collect, document and archive
atmospheric measurements and the associated metadata from stations worldwide and make these
data freely available to the scientific community.
The
data obtained included the first comprehensive
measurements of aerosols and cloud particles throughout the
atmospheric column during the evolution of multiple deep convective storm systems.
There are few
atmospheric measurements of this compound yet, «but sporadic
data suggest it is a significant source of chlorine in the atmosphere,» said Hossaini.
The resulting best - estimate temperature
data product for Lauder is expected to be valuable for satellite and model validation as
measurements of
atmospheric essential climate variables are sparse in the Southern Hemisphere.
Initial condition uncertainty arises due to errors in the estimate of the starting conditions for the forecast, both due to limited observations of the atmosphere, and uncertainties involved in using indirect
measurements, such as satellite
data, to measure the state of
atmospheric variables.
Also, there is paleoclimate
data that contradicts the ice - core
data, such as Stomata and we have 90,000 direct empirical chemical
measurements dating back to 1812 of
atmospheric with a 3 % accuracy that depicts CO2 as high as 440ppm (Beck 2007).
-- robust radiative physics — ground - based instrumental evidence that CO2 absorbs and therefore emits IR exactly in accordance with the physical theory — satellite
data confirming this — satellite
data apparently indicating a radiative imbalance at TOA — robust
measurements of the fraction of
atmospheric CO2 — increasing global OHC since the mid-C20th
We do not have
data on human CH4, N2O and CFC emissions over the period, but we do have published
measurements of the
atmospheric concentration of each gas.
[8] This was virtually identical to the statement found in the ISPM [ISPM v. 1 2.1 b] and echoed the summary statement: «Globally - averaged
measurements of
atmospheric temperatures from satellite
data since 1979 show an increase of 0.04 °C to 0.20 °C per decade over this period» [ISPM v. 1 ES].
GLOBALVIEW
data products are designed to enhance the spatial and temporal distribution of
atmospheric observations of CO2, CH4 and other related
atmospheric measurements.
temperature, other climatic variables, and concentrations of aerosols and trace gases; and (2) making raw and processed
atmospheric measurements accessible in a form that enables a number of different groups to replicate and experiment with the processing of the more widely disseminated
data sets such as the MSU tropospheric temperature record.
Using SCIAMACHY satellite
data as well as ground - based
measurements from 2003 to 2009, researchers found that the region where Arizona, New Mexico, Colorado, and Utah intersect had
atmospheric methane concentrations equivalent to about 1.3 million pounds of emissions a year.
Since then, satellite reading of temperatures and the occlusion of numerous infrared bands, ground based, aircraft and balloon
measurements of same, and an ever - increasing
data base of the optical properties of CO2 (and other gases, like water vapour), have helped refine radiation calculations towards determining the
atmospheric heat budget.
For instance the Vostok ice - core
data over 415,000 years has an average
measurement - spacing of 756 years, meaning that the likelihood of measuring an increase in
atmospheric CO2 as the one measured at Mauna Loa over the last 50 years, if one existed in the Vostok ice - core samples, amounts to 6.6 % (i.e. 50/756).
«Trends in observed
atmospheric water vapour are hampered by inhomogeneities in
data records, which occur when
measurement programmes are discontinued because of, for example, the limited lifespans of satellite missions or insufficiently documented or understood changes in instrumentation.
Also, while we have good
atmospheric measurements of other key greenhouse gases such as carbon dioxide and methane, we have poor
measurements of global water vapor, so it is not certain by how much
atmospheric concentrations have risen in recent decades or centuries, though satellite
measurements, combined with balloon
data and some in - situ ground
measurements indicate generally positive trends in global water vapor.»
In this
data activity, students use NASA satellite
measurements of
atmospheric pressure to learn that pressure decreases with height in the atmosphere.
Unmanned aerial system and tethered balloon system
measurements have supplemented ARM Mobile Facility
data to help improve understanding of
atmospheric processes in the Arctic.
The ability to hindcast the detailed changes in
atmospheric composition over the past decade, particularly the variability of tropospheric O3 and CO, is limited by the availability of
measurements and their integration with models and emissions
data.
An examination of the
data from: i)
measurements of the fractionation of CO2 by way of Carbon - 12 and Carbon - 13 isotopes; ii) the seasonal variations of the concentration of CO2 in the Northern Hemisphere; and iii) the time delay between Northern and Southern Hemisphere variations in CO2, raises questions about the conventional explanation of the source of increased
atmospheric CO2.
Here is what NOAA states about the inadequacies of ocean heat content
measurements:» Nonetheless, preliminary processing of Argo
data indicates that it is not without problems associated with different calibration and manufacturers of the instruments; a problem common for
atmospheric measurements.
It's true that if you discard all the
data on paleo CO2 from ice cores, and you discard modern direct
measurements of CO2 in the atmosphere, then you could assume the existence of a natural increase in
atmospheric CO2 greater than the fossil fuel emissions.
Some of Law Dome's
data now surfaced in a new study in Nature Geoscience of 25 July 2016 «Low
atmospheric CO2 levels during the Little Ice Age due to cooling - induced terrestrial uptake» discussed in a Guardian article https://www.theguardian.com/environment/planet-oz/2016/jul/29/antarctic-ice-core-study-has-probably-just-made-the-job-of-cutting-fossil-fuel-emissions-even-more-urgent Carbonyl sulfide (COS)
measurements for the LIA period fitted the 97 % consensus narrative.
Translating across discipline - specific vocabularies was essential to understanding mismatches in estimates of methane emissions from permafrost based on field
measurements and on
atmospheric data.
This curve is statistically speaking a «random walk», with no robust statistical correlation with
atmospheric CO2, which has seen no cycles but has increased at a fairly constant CAGR of around 0.4 % per year since
measurements started at Mauna Loa in 1958 and at an estimated somewhat slower rate before this, based on ice core
data.
This mission is fulfilled by operating
atmospheric observatories around the world that collect massive amounts of
atmospheric measurements to provide
data products that help scientists study the effects and interactions of clouds and aerosols and their impact on the earth's energy balance.
Ryan Maue, if we assume that Kevin Trenbreth has the seminal paper on
atmospheric water vapor products in the paper: «Trends and variability in column - integrated
atmospheric water vapor», then I have the distinct view that we only have water vapor
data that would pass muster with Trenberth for the period 1988 forward and only over the oceans in the form of the RSS SSM / I
measurements / reanalysis.