This specialist group carries out scientific research to
understand climate variability and predictability, and develops projections based on the Unified Model used across many timescales for Met Office forecasting.
Cohen received his Ph.D. in Atmospheric Sciences from Columbia University in 1994 and has since focused on conducting numerical experiments with global climate models and advanced statistical techniques to better
understand climate variability and to improve climate prediction.
GCM's, while a useful tool in attempting to
understand climate variability, rely on many theoretical feedbacks which in the main such results are scientifically unproven and based on indefinite probabilities, or should we say, educated guesswork.
Cross Cutting Priority 1: (Integrated Global Environmental Observation and Data Management System) focuses on developing a global - to - local environmental observation and data management systems for the comprehensive, continuous monitoring of coupled ocean / atmospheric / land systems that enhance NOAA's ability to protect lives, property, expand economic opportunities,
understand climate variability, and promote healthy ecosystems.
Using simulations of the last millennium to
understand climate variability seen in palaeo - observations: Similar variation of Iceland - Scotland overflow strength and Atlantic Multidecadal Oscillation.
Two of NOAA's four mission goals are to «protect, restore, and manage the use of coastal and ocean resources through an ecosystem approach to management,» and to «
understand climate variability and change to enhance society's ability to plan and respond.»
The retreat sequence along the eastern margin of the Laurentide Ice Sheet is especially relevant for
understanding climate variability.
«Understanding this positive feedback loop has provocative implications for
understanding climate variability in Earth's past,» said Jellinek.
The conclusion was that
understanding climate variability within cities could be important for predicting and containing future cholera outbreaks.
Not exact matches
The causes and mechanisms of natural
climate variability, however, are poorly
understood.
Pohl hopes that studies such as this one «will enhance our general
understanding of historical and future extreme
climate variability, allowing policy - makers to make better - informed decisions for coastal communities.»
Faith - based organizations have helped community members to better
understand what causes
climate variability in their area.
The two studies will help scientists to
understand the natural
variability of past
climate and to predict tropical glaciers» response to future global warming.
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.
Saba, who has conducted modeling studies on the impacts of
climate change on endangered leatherback turtles in the eastern Pacific Ocean, says the Northwest Atlantic loggerhead study offers a new approach in
understanding how
climate variability affects sea turtle populations.
Only by
understanding the geologic record of diversity, adaptation and
climate variability can we hope to face the challenges ahead.
Without a clear
understanding of what caused past changes in ENSO
variability, predicting the
climate phenomenon's future is a difficult task.
Such offices shall engage in cooperative research, development, and demonstration projects with the academic community, State
Climate Offices, Regional Climate Offices, and other users and stakeholders on climate products, technologies, models, and other tools to improve understanding and forecasting of regional and local climate variability and change and the effects on economic activities, natural resources, and water availability, and other effects on communities, to facilitate development of regional and local adaptation plans to respond to climate variability and change, and any other needed research identified by the Under Secretary or the Advisory Com
Climate Offices, Regional
Climate Offices, and other users and stakeholders on climate products, technologies, models, and other tools to improve understanding and forecasting of regional and local climate variability and change and the effects on economic activities, natural resources, and water availability, and other effects on communities, to facilitate development of regional and local adaptation plans to respond to climate variability and change, and any other needed research identified by the Under Secretary or the Advisory Com
Climate Offices, and other users and stakeholders on
climate products, technologies, models, and other tools to improve understanding and forecasting of regional and local climate variability and change and the effects on economic activities, natural resources, and water availability, and other effects on communities, to facilitate development of regional and local adaptation plans to respond to climate variability and change, and any other needed research identified by the Under Secretary or the Advisory Com
climate products, technologies, models, and other tools to improve
understanding and forecasting of regional and local
climate variability and change and the effects on economic activities, natural resources, and water availability, and other effects on communities, to facilitate development of regional and local adaptation plans to respond to climate variability and change, and any other needed research identified by the Under Secretary or the Advisory Com
climate variability and change and the effects on economic activities, natural resources, and water availability, and other effects on communities, to facilitate development of regional and local adaptation plans to respond to
climate variability and change, and any other needed research identified by the Under Secretary or the Advisory Com
climate variability and change, and any other needed research identified by the Under Secretary or the Advisory Committee.
These predictions are limited by a poor
understanding of the recent changes observed in the Antarctic and Greenland ice sheets, and a lack of knowledge about the
variability of ice sheet behaviour under a warming
climate.
LTER
Climate Committee reviews research and understanding of climate variability and ecosystem responses of the LTER sites (Greenland and Swif
Climate Committee reviews research and
understanding of
climate variability and ecosystem responses of the LTER sites (Greenland and Swif
climate variability and ecosystem responses of the LTER sites (Greenland and Swift 1990)
Monitoring,
understanding, and predicting oceanic variations associated with natural
climate variability and human - induced changes, and assessing the related roles of the ocean on multiple spatial - temporal scales.
Rescuing this data would undoubtedly help to improve
understanding of historical
climate variability and change.
Understanding the exchange of carbon between the ocean and atmosphere is vital to understanding global climate and its past, present and future
Understanding the exchange of carbon between the ocean and atmosphere is vital to
understanding global climate and its past, present and future
understanding global
climate and its past, present and future
variability.
In addition,
climate models and observations suggest that there may be modes of
variability which act on multi-decadal timescales, although
understanding of such modes is currently limited3.
So our interest is to
understand — first the natural
variability of
climate — and then take it from there.
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.
SPARC, together with others in the WCRP community, focuses on
understanding atmospheric dynamics and
climate variability to provide better
climate predictions on scales from seasonal all the way to centennial.
Therefore, it is very important to
understand the origin of space
climate by analyzing the different proxies of solar magnetic
variability.
Exploiting temporal
variability to
understand tree recruitment response to
climate change.
Understanding the influence of solar
variability on the Earth's
climate requires knowledge of solar
variability, solar interactions, and the mechanisms explain the response of the Earth's
climate system.
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.
His main research interest lies in
understanding the
variability of the
climate, both its internal
variability and the response to external forcing.
«From this [study] we can better
understand the effects of natural and man - made
variability to the
climate system,» said co-author Tim Boyer of NOAA's Ocean Climate Labo
climate system,» said co-author Tim Boyer of NOAA's Ocean
Climate Labo
Climate Laboratory.
His research concerns
understanding global
climate and its variations using observations and covers the quasi biennial oscillation, Pacific decadal oscillation and the annular modes of the Arctic oscillation and the Antarctic oscillation, and the dominant spatial patterns in month - to - month and year - to - year
climate variability, including the one through which El Niño phenomenon in the tropical Pacific influences
climate over North America.
From the Prize Council: «If we are going to talk about hydrology in the 21st century, and the challenges hydrologists face, clearly the overwhelming challenge is to
understand hydrologic
variability, and the likely impact on hydrology of anticipated
climate change.
Despite your insistence otherwise, you evince at best a shallow
understanding of basic principles of
climate science (hint: while radiative forcing is known to be at least partially controlled by atmospheric CO2, no «natural», i.e. internal source of
variability has been demonstrated that could drive a global temperature trend for half a century), as well as an inability to recognize genuine expertise.
Our «interest is to
understand — first the natural
variability of
climate — and then take it from there.
Despite the difficulties of calibration that makes an absolute radiative imbalance measurement impossible — the anomalies data contains essential information on
climate variability that can be used to
understand and close out the global energy budget — changes in which are largely OHC.
For this reason, a European project was estaqblished in 2011, COST - action TOSCA (Towards a more complete assessment of the impact of solar
variability on the Earth's
climate), whose objective is to provide a better
understanding of the «hotly debated role of the Sun in
climate change» (not really in the scientific fora, but more in the general public discourse).
In general, I heartily agree — other forcings are important, even essential, for
understanding observed
climate variability and, as a community, we are only just starting to get to grips with some of the more complicated effects.
My
understanding of most of the (lets call it) skeptical positions from people like Roy Spencer is that they essentially claim exactly that: the absence of a large signal compared to noise (or natural
variability) and the entire debate is essentially about the question, whether noise is a measurement / statistical problem or the very nature of
climate itself?
I think it's worth
understanding that the author is assessing
climate variability from an entirely regional perspective, a scale at which the global warming signal is much harder to detect.
I'm not up on recent work in the area but I'm sure they are working on coaxing out the
climate signal as natural
variability is becoming better
understood.
A vigorous spectrum of interdecadal internal
variability presents numerous challenges to our current
understanding of the
climate.
Impacts of this dry decade are wide - ranging, so a major research effort is being directed to better
understand the region's recent
climate, its
variability and
climate change.
Around the 13th minute in the recording, we shift to discussing how studies of past
climate help build
understanding of human - driven
climate change and the built - in
variability in the
climate system that can occasionally produce extraordinarily potent droughts and floods.
The study demonstrates the importance of
understanding how
climate variability on a regional scale may at least temporarily obscure larger forces acting on the global
climate system.
A globally warm medieval period could be a simple forced response to increased solar, in which case it doesn't imply any larger intrinsic
variability than already assumed, and since solar has been pretty much constant over the last 50 years, improvements to our
understanding of solar forced
climate changes are irrelevant for the last few decades.
# 15 John P. Reisman says: vukcevic you basically don't
understand the difference between
climate, natural
variability, weather, and of course human influenced
climate forcing.