A continued mode of corrections using approaches where statistical uncertainties are not quantified is not a scientifically sound methodology and should be avoided, considering the importance of such surface station data to a broad variety of climate applications as well
as climate variability and change studies.
Not exact matches
Growing scarcity In addition to a growing scarcity of natural resources such
as land, water
and biodiversity «global agriculture will have to cope with the effects of
climate change, notably higher temperatures, greater rainfall
variability and more frequent extreme weather events such
as floods
and droughts,» Diouf warned.
In the spring of 2014, Koonin's drafting committee produced a statement that attributed equal weight to human influences
and natural
variability as a driver of
climate change, according to a source who declined to be named.
Climate researchers from the Helmholtz Young Investigators Group ECUS at the Alfred Wegener Institute Helmholtz Centre for Polar
and Marine Research (AWI) in Potsdam have now investigated how temperature
variability changed as the Earth warmed from the last glacial period to the current interglacial period.
Strategies to adapt to
climate change will dovetail with the current policies
and practices that deal with
variability and will be understood
as more of the same, rather than something alien.
Gentine
and his team are now exploring ways to model how biosphere - atmosphere interactions may
change with a shifting
climate,
as well
as learning more about the drivers of photosynthesis, in order to better understand atmospheric
variability.
The research concludes that for other
changes, such
as regional warming
and sea ice
changes, the observations over the satellite - era since 1979 are not yet long enough for the signal of human - induced
climate change to be clearly separated from the strong natural
variability in the region
In recent years, a brand of research called «
climate attribution science» has sprouted from this question, examining the impact of extreme events to determine how much — often in fractional terms — is related to human - induced
climate change,
and how much to natural
variability (whether in
climate patterns such
as the El Niño / La Niña - Southern Oscillation, sea - surface temperatures,
changes in incoming solar radiation, or a host of other possible factors).
As the model runs progressed, those tiny differences grew
and expanded, producing a set of
climate simulations useful for studying questions about
variability and change.
Unlike the freakish situation in California, where several years of low snowfall
and rainfall are serving
as a reminder of the tremendous natural
variability in Pacific - influenced weather,
and the need to always be vigilant when it comes to managing water supplies, the situation in Washington resembles the parched
climate -
changed normal for swaths of the West in the decades ahead.
«Even more interesting is that
as satellite measurements continue
and so
as the datasets get longer, we will be able to recalculate our metric over longer time periods to investigate how
and if ecosystem sensitivity to
climate variability is
changing over time.»
January 2004: «Directions for
Climate Research» Here, ExxonMobil outlines areas where it deemed more research was necessary, such as «natural climate variability, ocean currents and heat transfer, the hydrological cycle, and the ability of climate models to predict changes on a regional and local scale.
Climate Research» Here, ExxonMobil outlines areas where it deemed more research was necessary, such
as «natural
climate variability, ocean currents and heat transfer, the hydrological cycle, and the ability of climate models to predict changes on a regional and local scale.
climate variability, ocean currents
and heat transfer, the hydrological cycle,
and the ability of
climate models to predict changes on a regional and local scale.
climate models to predict
changes on a regional
and local scale.»
Methods: While a few studies in the past investigated the influence of
climate phenomena such
as the El Niño Southern Oscillation
and the Madden - Julian Oscillation on the inter-annual
variability of tropical cyclones in the post-monsoon Bay of Bengal,
changes in long - term cyclone activity are less well understood.
While ENSO
and other sources of natural
variability can determine the location of extremes, 1 the intensity
and duration of the associated extremes such
as droughts,
and the associated heat waves, have increased with
climate change.
His research interests include studying the interactions between El Niño / Southern Oscillation (ENSO)
and the monsoons of Asia; identifying possible effects on global
climate of
changing human factors, such
as carbon dioxide,
as well
as natural factors, such
as solar
variability;
and quantifying possible future
changes of weather
and climate extremes in a warmer
climate.
In the following chapters, we will refer to the impacts
and effects of
climate change as a result of both natural
variability and human - caused
climate change.
In fact, scientists have long recognized the importance of solar
variability as one of the factors governing
climate (see the very scholarly review of the subject by Bard
and Frank, available here at EPSL or here
as pdf) An understanding of solar
variability needs to be (
and is) taken into account in attribution of
climate change of the past century,
and in attempts to estimate
climate sensitivity from recent
climate variations.
Prior to joining ECI, she completed her Ph.D. at Oregon State University, where she worked on the weather@home project over western US region, looking at drivers of extreme drought events in the US, future regional
climate change projections over the western US,
as well
as investigating uncertainties due to internal
variability and physical parameter perturbations.
Rather, it sampled how sensitive they are to
climate «
variability» — defined in the study
as monthly
changes in temperature, precipitation or water availability,
and cloud cover.
Changes in the frequency
and magnitude of
climate extremes, of both moisture
and temperature, are affected by
climate trends
as well
as changing variability.
The motivation for the MCA arose from citizens
and organizations in Montana who have expressed interest in receiving timely
and pertinent information about
climate change, including information about historical
variability, past trends,
and projections of future impacts
as they relate to topics of economic concern.
If we have some time to prepare, the combination of lowering all the discussed emissions, utilizing current technology to implement alternative energy sources,
and engineering new twists on said technology to both continue lowering emissions
and adapting to global
climate changes as well, we may be able to guide our response sets to outside, artificial selective pressures in conjunction with natural ones; natural, internal
variability and external forcings / feedbacks.
The attribution of the term at regional scales is complicated by significant regional variations in temperature
changes due to the the influence of modes of
climate variability such
as the North Atlantic Oscillation
and the El Nino / Southern Oscillation.
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 measure
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 measure
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 measure
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 measure
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 measure
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 measure
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).
As with most titles, however, this one simplifies the chain of causality (global
climate change - > increased temperature
variability - > increased infection - > increased frog sickness)
and hopefully invites readers to read further.
Ruling out solar
as a forcing would be equivalent to saying ENSO
and the NPI
and other forms of natural
variability no longer play a role in
climate change because of CO2....
Thus, the title of the USF press release, «Frogs Getting Sick from
Climate Change,» is accurate in suggesting that climate change caused increased frog infection and infection - induced mortality, whether one interprets «climate change» as referring to the short - term temperature shifts investigated by our experiments, or to increased temperature variability caused by global climate
Climate Change,» is accurate in suggesting that climate change caused increased frog infection and infection - induced mortality, whether one interprets «climate change» as referring to the short - term temperature shifts investigated by our experiments, or to increased temperature variability caused by global climate c
Change,» is accurate in suggesting that
climate change caused increased frog infection and infection - induced mortality, whether one interprets «climate change» as referring to the short - term temperature shifts investigated by our experiments, or to increased temperature variability caused by global climate
climate change caused increased frog infection and infection - induced mortality, whether one interprets «climate change» as referring to the short - term temperature shifts investigated by our experiments, or to increased temperature variability caused by global climate c
change caused increased frog infection
and infection - induced mortality, whether one interprets «
climate change» as referring to the short - term temperature shifts investigated by our experiments, or to increased temperature variability caused by global climate
climate change» as referring to the short - term temperature shifts investigated by our experiments, or to increased temperature variability caused by global climate c
change»
as referring to the short - term temperature shifts investigated by our experiments, or to increased temperature
variability caused by global
climate climate changechange.
With that in mind, our paper is fundamentally about inter-decadal
variability in the
climate system
and its role in the evolution of the 20th century
climate trajectory,
as well
as in near - future
climate change.
Since there is now an almost century - long record of these break up dates, it makes sense to look at them
as potential indicators of
climate change (
and interannual
variability).
Ironically, while some continue to attack this nearly decade - old work, the actual scientific community has moved well beyond the earlier studies, focusing now on the detailed patterns of modeled
and reconstructed
climate changes in past centuries,
and insights into the roles of external forcing
and internal modes of
variability (such
as the North Atlantic Oscillation or «NAO»
and the «El Nino / Southern Oscillation» or «ENSO») in explaining this past
variability.
In many cases, it is now often possible to make
and defend quantitative statements about the extent to which human - induced
climate change (or another causal factor, such
as a specific mode of natural
variability) has influenced either the magnitude or the probability of occurrence of specific types of events or event classes.»
On the very small scale, one could have a runaway between whether or not a weather pattern has a thunderstorm at a specific time
and place or whether it is dry
and sunny at that specific time
and place — but that's not the same
as a
change in
climate (see internal
variability, chaos, butterfly effect).
The implications of our findings are that the modern observations of ocean - driven warming along the western Antarctic Peninsula need to be considered
as part of a natural centennial timescale cycle of
climate variability,
and that in order to understand
climate change along the Antarctic Peninsula, we need to understand the broader
climate connections with the rest of the planet.
Recently I have been looking at the
climate models collected in the CMIP3 archive which have been analysed
and assessed in IPCC
and it is very interesting to see how the forced
changes — i.e. the
changes driven the external factors such
as greenhouse gases, tropospheric aerosols, solar forcing
and stratospheric volcanic aerosols drive the forced response in the models (which you can see by averaging out several simulations of the same model with the same forcing)-- differ from the internal
variability, such
as associated with variations of the North Atlantic
and the ENSO etc, which you can see by looking at individual realisations of a particular model
and how it differs from the ensemble mean.
Those main conclusions are that
climate is
changing in ways unusual against the backdrop of natural
variability; that human activities are responsible for most of this unusual
change; that significant harm to human well - being is already occurring
as a result;
and that far larger --- perhaps catastrophic — damages will ensue if serious remedial action is not started soon.
«We... propose that one should not rely solely on prediction
as the primary policy approach to assess the potential impact of future regional
and global
climate variability and change.
The tools for adapting to
climate change are the same
as those for dealing with
climate variability,
and both are needed in northern Africa.
So, of course there are uncertainties in the findings,
as in any attribution
and detection result, there is a remaining chance that the observed
change is due to internal
climate variability (5 - ish %) particularly if the models would underestimate that
variability.
As to the models, this interplay between
climate change and climate variability is fascinating
and this richness of behaviour is indeed seen in the
climate models.
As far as surface temperature is concerned — the Royal Society said that climate change is the result of ordered forcing and internal climate variability as a result of climate being an example of a chaotic syste
As far
as surface temperature is concerned — the Royal Society said that climate change is the result of ordered forcing and internal climate variability as a result of climate being an example of a chaotic syste
as surface temperature is concerned — the Royal Society said that
climate change is the result of ordered forcing
and internal
climate variability as a result of climate being an example of a chaotic syste
as a result of
climate being an example of a chaotic system.
The disagreement arises from different assessments of the value
and importance of particular classes of evidence
as well
as disagreement about the appropriate logical framework for linking
and assessing the evidence — my reasoning is weighted heavily in favor of observational evidence
and understanding of natural internal
variability of the
climate system, whereas the IPCC's reasoning is weighted heavily in favor of
climate model simulations
and external forcing of
climate change.
In principle,
changes in
climate on a wide range of timescales can also arise from variations within the
climate system due to, for example, interactions between the oceans
and the atmosphere; in this document, this is referred to
as «internal
climate variability».
The United Nations Framework Convention on
Climate Change (UNFCCC), in its Article 1, defines climate change as: «a change of climate which is attributed directly or indirectly to human activity that alters the composition of the global atmosphere and which is in addition to natural climate variability observed over comparable time periods&
Climate Change (UNFCCC), in its Article 1, defines climate change as: «a change of climate which is attributed directly or indirectly to human activity that alters the composition of the global atmosphere and which is in addition to natural climate variability observed over comparable time periods&r
Change (UNFCCC), in its Article 1, defines
climate change as: «a change of climate which is attributed directly or indirectly to human activity that alters the composition of the global atmosphere and which is in addition to natural climate variability observed over comparable time periods&
climate change as: «a change of climate which is attributed directly or indirectly to human activity that alters the composition of the global atmosphere and which is in addition to natural climate variability observed over comparable time periods&r
change as: «a
change of climate which is attributed directly or indirectly to human activity that alters the composition of the global atmosphere and which is in addition to natural climate variability observed over comparable time periods&r
change of
climate which is attributed directly or indirectly to human activity that alters the composition of the global atmosphere and which is in addition to natural climate variability observed over comparable time periods&
climate which is attributed directly or indirectly to human activity that alters the composition of the global atmosphere
and which is in addition to natural
climate variability observed over comparable time periods&
climate variability observed over comparable time periods».
WMO will issue its full Statement on the State of the
Climate in 2017 in March which will provide a comprehensive overview of temperature variability and trends, high - impact events, and long - term indicators of climate change such as increasing carbon dioxide concentrations, Arctic and Antarctic sea ice, sea level rise and ocean acidifi
Climate in 2017 in March which will provide a comprehensive overview of temperature
variability and trends, high - impact events,
and long - term indicators of
climate change such as increasing carbon dioxide concentrations, Arctic and Antarctic sea ice, sea level rise and ocean acidifi
climate change such
as increasing carbon dioxide concentrations, Arctic
and Antarctic sea ice, sea level rise
and ocean acidification.
Variability in the marine carbon cycle has been observed in response to physical changes associated with the dominant modes of climate variability such as El Niño events and the PDO (Feely et al., 1999; Takahashi et al., 2006), and the NAO (Bates et al., 2002; Johnson and Gru
Variability in the marine carbon cycle has been observed in response to physical
changes associated with the dominant modes of
climate variability such as El Niño events and the PDO (Feely et al., 1999; Takahashi et al., 2006), and the NAO (Bates et al., 2002; Johnson and Gru
variability such
as El Niño events
and the PDO (Feely et al., 1999; Takahashi et al., 2006),
and the NAO (Bates et al., 2002; Johnson
and Gruber, 2007).
Unusual
climate phenomena identified by some
as «
climate changes» are regularly attributed at WUWT to natural
variability,
and as such are not viewed
as «
changes.»
Many regional
climate changes can be described in terms of preferred patterns of
climate variability and therefore
as changes in the occurrence of indices that characterise the strength
and phase of these patterns.
The groundwater table in the Central Valley has been declining to such a degree that it requires a deeper understanding of the temporal dynamics of drought
as well
as their dependence on regional
climate variability and change.
Most authors identify government practices
as being far more influential drivers than
climate variability, noting also that similar
changes in
climate did not stimulate conflicts of the same magnitude in neighboring regions,
and that in the past people in Darfur were able to cope with
climate variability in ways that avoided large scale violence.
The inclusion of
climate variability and change in understanding human vulnerability
and adaptation is being increasingly explored at household
and community levels,
as well
as though regional agro-climatological studies in Africa (e.g., Verhagen et al., 2001).