Meehl and co-authors Claudia Tebaldi, also of NCAR, and Dennis Adams - Smith, who was
a Climate Central data analyst during the study, wanted to find a more straightforward way to estimate the future increase in the high - to - low ratio.
Not exact matches
Climate Central used data from NASA and NOAA to create an 1881 to 1910 climate normal for the months of January, February, and
Climate Central used
data from NASA and NOAA to create an 1881 to 1910
climate normal for the months of January, February, and
climate normal for the months of January, February, and March.
A Swiss - led group using tree - ring
data to look at
Central European summer
climate patterns during roughly 2,500 years saw that periods of prolonged warming and of colder than usual spells coincided with social upheavals.
But rather than using the baselines those agencies employ,
Climate Central compared 2016's temperature anomalies to an 1881 - 1910 average temperature baseline, the earliest date for which global temperature
data are considered reliable.
Climate Central scientists and statisticians made these calculations based on an average of global temperature
data reported by NASA and the National Oceanic and Atmospheric Administration (NOAA).
Combining their numbers with
climate data, they found that during the El Niño years (1992 - 93 and 1997 - 98), which bring cooler, wetter conditions to the birds»
Central American wintering sites, juveniles born that season outnumbered adults 2 or 3 to 1.
(Carbin did a basic analysis using
data that is independent of the tornado reports used in the study and found a signal «that would suggest that their findings are valid,» he told
Climate Central.)
To put current global temperatures into the perspective of that framework,
Climate Central has been reanalyzing the NASA and NOAA
data.
Scientists at the University of Sydney have analysed up to 22 years of long - term monitoring
data on plants and animals in
central Australia to project how changing rainfall and wildfire patterns, because of
climate change, will influence desert wildlife.
To show how close the world already is to surpassing those limits,
Climate Central has been reanalyzing the global temperature
data by averaging the NASA and NOAA numbers and comparing them to a baseline closer to preindustrial times.
A
Climate Central analysis of 65 years of winter precipitation
data from more than 2,000 weather stations in 42 states, found a decrease in the percent of precipitation falling as snow in winter months for every region of the country.
To show how close the world already is to reaching that limit,
Climate Central has been reanalyzing the global temperature
data each month, averaging together the NASA and NOAA numbers and comparing them to the average from 1881 - 1910, a time period closer to preindustrial times.
«Drought is really intensifying pretty rapidly in the Southern Plains,» Jake Crouch, a
climate scientist with NOAA's National Climatic Data Center, told Climate C
climate scientist with NOAA's National Climatic
Data Center, told
Climate C
Climate Central.
So far, April has already seen daily and weekly average carbon dioxide levels above 400 ppm, the Mauna Loa
data show, and that will assuredly continue for the rest of the month, Tans told
Climate Central.
The
Climate Central analysis of San Joaquin Valley air
data showed that while the number of days each year on which levels of PM2.5 exceeded federal standards declined by about 45 percent overall from 2000 to 2016, they increased by almost a third during the peak summer fire season.
Further in their Fig. 1 Courtillot et al. show geochemical
data from a
Central Alpine stalagmite which purports to establish a highly tight correlation between
climate variations and a solar activity proxy; as Bard and Delaygue note, Courtillot and co-workers have concealed the fact that the correlation is so good precisely because the chronology of the two series being compared has been finely tuned to expressly maximize the correlation.
A
Climate Central analysis of U.S. Forest Service
data through 2014 shows that large fires are three - and - a-half times more common now than they were in the «70s.
Climate Central has combined the NOAA and NASA temperature
data and recalculated the numbers relative to an earlier baseline, 1881 - 1910, for the global average temperature.
This might require the
central office to collect survey
data on staff
climate and parent engagement; it may require district administrators to attend and observe PLCs and school meetings; it may require the superintendent to endorse a modification to the teacher evaluation process, the master schedule, or the formal roles that teacher leaders can play.
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The
central problem of
climate science is to ask what you do and say when your
data are, by almost any standard, inadequate?
What you notice about
climate sensitivity is that the
central tendency doesn't change much — your distribution just mostly gets narrower as you add
data — a lot at first, and less as you proceed.
I asked Andrew Freedman, of the Washington Post's Capital Weather Gang blog and
Climate Central, if he could round up 100 - degree
data for the city.
Although getting
data about such issues can be hard, the Third Pole website, which chronicles and translates news about
climate and water issues all around the Himalayan region and in downstream countries, recently launched a
data site compiling scientific information that otherwise tends to be too closely guarded by security - conscious officials throughout South and
Central Asia.
The researchers over at
Climate Central wanted to show people just that, so they crunched the numbers from
data sets from DayMet to calculate 1,001 American cities» average winter temperatures and PRISM for the summer temperatures.
At a recent meeting of Latin American
climate scientists, geophysicist Hugo Delgado of Mexico's National Autonomous University presented
data showing that the glaciers atop the Iztaccíhuatl and Pico de Orizaba volcanoes in
Central Mexico will disappear in the next 10 to 35 years due to global warming.
«The GOSIC Portal provides convenient,
central, one - stop access to
data and information identified by the Global
Climate Observing System (GCOS), the Global Ocean Observing System (GOOS) and the Global Terrestrial Observing System (GTOS) and their partner programs....»
Water and Adaptation Interventions in
Central and West Asia - our task is to provide
climate data and
climate scenarios for the
Central Asian countries to be used in hydrological modelling
The first is a
data quality issue, which needs to be resolved owing to the
central role that this
data set is playing in U.S.
climate policy.
The surface temperature
data set plays a
central role in the political debate over
climate change.
However, that dataset is compatible, when using the surface, upper air and deep - ocean
data in combination, with a
central estimate for
climate sensitivity close to S = 3, in line with the Forest 2006 results.
Climate Central collects personally identifying
data only if volunteered by you.
In case you haven't seen this yet — and hey, thanks to the Rachel Maddow Show for the recent props —
Climate Central has created an interactive tool (using
data from the U.S. National Climatic Data Center) that allows you to explore record temperatures in near real - t
data from the U.S. National Climatic
Data Center) that allows you to explore record temperatures in near real - t
Data Center) that allows you to explore record temperatures in near real - time.
Computer models combined with 1,000 years of
climate data indicate that greenhouse gases will bring severe droughts to the Southwest and
Central Plains by the end of the century.
His research focuses on using
data from Earth - orbiting satellites, in combination with detailed field and laboratory investigations, to study the impact of air pollutants and
climate change on forest species across the Northern Hemisphere, including
central Europe, Canada, and New England.
«While Dr. Ball presents his
central thesis that
climate science has been corrupted by politics, the Article offers little in the way of support for that thesis, apart from vague references to missing or falsified
data and political manipulation, unsubstantiated and erroneous references....»
Starting in 2005, building on a sequence of events seeking to obtain raw
data, leading ultimately to the FOIA events
central to the CRU controversy, McIntyre builds an iconoclastic website which at least implicitly supports the false propositions that
climate change concerns rest primarily on paleoclimate evidence and that paleoclimate evidence is systematically skewed.
According to the National
Climate Data Center, October 2009 was the wettest October in the 115 - year weather record for the south -
central United States, which includes the area shown in this image.
I was saying that utility of proxy
data to understand past
climate was
central to the discussion — a more general point.
Climate Central has combined the NOAA and NASA temperature
data and recalculated the numbers relative to an earlier baseline, 1881 - 1910, for the global average temperature.
«Their inquiry's
central aim will be to establish a comprehensive view of just how far the original
data has been «adjusted» by the three main surface records: those published by the Goddard Institute for Space Studies, the U.S. National Climate Data Center and Hadcrut,» Booker repo
data has been «adjusted» by the three main surface records: those published by the Goddard Institute for Space Studies, the U.S. National
Climate Data Center and Hadcrut,» Booker repo
Data Center and Hadcrut,» Booker reports.
Global Observing Systems Information Center (GOSIC) provides convenient,
central, one - stop access to
data and information identified by the Global
Climate Observing System (GCOS), the Global Ocean Observing System (GOOS) and the Global Terrestrial Observing System (GTOS) and their partner programs, such as the Global Atmosphere Watch (GAW) and regional observing systems, such as the GOOS Regional Alliances (GRA).
Duffy suggested that the Goddard Institute deliberately tried to keep the change quiet because it undermined the case of what he calls «
climate change orthodoxy», and claimed that «the discovery that it got one of the
central data sets of global warming science and debate wrong is embarrassing and disturbing».
An analysis by
Climate Central of recent temperature
data showed that winter and spring are the fastest warming seasons for the majority of the U.S., including the East, pushing the rhythm of the natural world further out of kilter.
If we spend too much time trying to find explanations for what might be 4 or 5 cycles of what might be a periodic
climate forcing in the time over which we have
data (CET), which we know is a measure of one state variable (temperature) at one location (
Central England) of a complicated non linear
climate system, we risk spending our time chasing hares hidden in the weeds instead of shooting the geese flying overhead.
One of the most
central issues in the
climate debate is the quality of exactly ground / city based land
data.