Sentences with phrase «with natural variability in the climate»

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.

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 ComClimate 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 ComClimate 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 Comclimate 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 Comclimate 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 Comclimate variability and change, and any other needed research identified by the Under Secretary or the Advisory Committee.

Ultimately, in forests not otherwise limited by energy or nutrients variability in moisture availability with natural and climate oscillations may drive establishment success between years (League and Veblen 2006), with indirect disturbance effects (e.g., fires, landslides, insect outbreaks, and pathogen attacks) greatly affecting long - term recruitment success (Clark et al. 2016).

Results of both regional climate model simulations and observational analyses suggest that much of the observed rainfall increase — as well as the decrease in temperature and increase in humidity — is attributable to agricultural intensification in the central United States, with natural variability and GHG emissions playing secondary roles.

The climate information in particular is tricky to work with in such snapshot comparisons because it can fall prey to the ups and downs of natural year - to - year variability, Doney said.

«It's important to determine where we believe that some of the recent trends in circulation could potentially be linked with climate change, rather than just natural variability,» Ted Shepherd, an atmospheric scientist at the University of Reading in the U.K., said in an email.

«The reconstruction of past climate reveals that recent warming in the Arctic and in the Northern Hemisphere is highly inconsistent with natural climate variability over the last 2000 years.»

The knowledge gap may just have narrowed, however, with the publication of a new study in Nature (one of two we're reporting on this week, as it happens) that appears to move the explanation for one type of climate variability from the natural to the human camp.

Observed changes in ocean heat content have now been shown to be inconsistent with simulated natural climate variability, but consistent with a combination of natural and anthropogenic influences both on a global scale, and in individual ocean basins.

Natural climate variability of the Arctic atmosphere, the impact of Greenland and PBL stability changes K. Dethloff *, A. Rinke *, W. Dorn *, D. Handorf *, J. H. Christensen ** * AWI Potsdam, ** DMI Copenhagen Unforced and forced long - term model integrations from 500 to 1000 years with global coupled atmosphere - ocean - sea - ice models have been analysed in order to find out whether the different models are able to simulate the North Atlantic Oscillation (NAO) similar to the real atmosphere.

«There is high confidence that the El Niño - Southern Oscillation (ENSO) will remain the dominant mode of natural climate variability in the 21st century with global influences in the 21st century, and that regional rainfall variability it induces likely intensifies.

The insufficient observational coverage has also been noted by the IPCC AR4 and by Gillett et al. (Nature Geoscience, 2008), who argue that the observed warming in the Arctic and Antarctic are not consistent with internal climate variability and natural forcings alone, but are directly attributable to increased GHG levels.

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.

Here we use a risk assessment framework to examine the potential impact of El Nino events and natural variability on rice agriculture in 2050 under conditions of climate change, with a focus on two main rice - producing areas: Java and Bali.

But, on the basis of studies of nonlinear chaotic models with preferred states or «regimes», it has been argued, that the spatial patterns of the response to anthropogenic forcing may in fact project principally onto modes of natural climate variability.

To show, in a peer - reviewed scientifically defensible way that there is no reason to expect the climate to warm in a monotonic type fashion, that there is natural variability along with anthropogenic forced warming and we shouldn't expect each year to be warmer than the next or even a run of 10 years always to show warming.

If you can't keep up with annual - decadal changes in the TOA radiative imbalance or ocean heat content (because of failure to correctly model changes in the atmosphere and ocean due to natural variability), then your climate model lacks fidelity to the real world system it is tasked to represent.

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.

So: The study finds a fingerprint of anthropogenic influences on large scale increase in precipitation extremes, with remaining uncertainties — namely that there is still a possibility that the widespread increase in heavy precipitation could be due to an unusual event of natural variability.The intensification of extreme rainfall is expected with warming, and there is a clear physical mechanism for it, but it is never possible to completely separate a signal of external forcing from climate variability — the separation will always be statistical in nature.

In your book, you explain your research began with natural climate variability and you said you believed this was a more important aspect to climate change than many scientists thought.

Again, natural variability has been ignored in order to support a particular point of view, with climate change advocates leaping on the acceleration to further their cause and the climate change sceptics now using the slowing down to their own benefit.

In terms of how to deal with both natural and human - caused climate variability and change, we wrote:

For instance, the warming that began in the early 20th century (1925 - 1944) is consistent with natural variability of the climate system (including a generalized lack of significant volcanic activity, which has a cooling effect), solar forcing, and initial forcing from greenhouse gases.

Heck, even if AGW weren't an issue, understanding the range of climate variation (that is temperature, precipitation, cloud cover, etc) expected from natural variability is still something that needs quantifying accurately, especially as we zoom towards a 10 - billion world population with all of the major agricultural areas concentrated in small regions of the globe.

A new study suggests that species that have evolved in regions with relatively high natural climate variability may at the same time be more resilient... Continue reading →

The extremes of the 1930's and 1950's are not attributable to greenhouse warming and are associated with natural climate variability (and in the case of the dustbowl drought and heat waves, also to land use practices).

Natural variability makes it difficult to invalidate climate models that make predictions disagree with observations, such as amplification of warming in the upper tropical troposphere.

Natural variability from the ensemble of 587 21 - year - long segments of control simulations (with constant external forcings) from 24 Coupled Model Intercomparison Project phase 3 (CMIP3) climate models is shown in black and gray.

It would certainly help in terms of natural climate variability, but I don't think it is going to help with climate sensitivity.

Paleo evidence have indeed shown quite strong spikes in temperature anomolies which gets back to the most important point of your paper with Judith: the extent of natural internal variability needs to be disentangled from anthropogenic and other forcings before we can make any conclusions about the future course of climate.

Far from changing one's conception of natural mutidecadal variability, this paper succeeds only in re-inforcing the reputation of «climate science» as a speculative handwaving» exercise, replete with ill - conceived notions of «feedbacks.

Those changes are not easy to measure or reproduce with climate models, and some researchers think natural variability or changes in the tropics are more important drivers of weather extremes in the mid-latitudes.

(Note: the biggest issue is climate sensitivity, with a secondary issue being the magnitude of modes of natural internal variability on multi-decadal time scales, and tertiary issues associated model inadequacies in dealing with aerosol - cloud processes and solar indirect effects.)

Contrary to another claim made by Betts, we are conversant with that research and have recently contributed to it by showing that climate models do accommodate recent temperature trends when the phasing of natural internal variability is taken into account — as it must be in comparing a projection to a single outcome.

First, the 20th century warming is only «consistent with natural variability» if one imagines sources of variability that have not emerged in the climate record over the course of millions of years.

IPCC relied on climate models (CMIP5), the hypotheses under test if you will, to exclude natural variability: «Observed Global Mean Surface Temperature anomalies... lie well outside the range of Global Mean Surface Temperature anomalies in CMIP5 simulations with natural forcing only, but are consistent with the ensemble of CMIP5 simulations including both anthropogenic and natural forcing...» (Ref.: Working Group I contribution to fifth assessment report by IPCC.

If you selectively read only the literature about the role of natural variability in climate, then your personal knowledge will lead to a flag with a large green portion (which seems to be where most of the commenters at WUWT are).

There are much better arguments on other items where (C) AGW is on thin ice: climate models which fail on a lot of items like cloud cover, overestimate the influence of aerosols, can't cope with natural variability and therefore fail in their temperature forecasts.

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 ComClimate 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 ComClimate 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 Comclimate 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 Comclimate 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 Comclimate variability and change, and any other needed research identified by the Under Secretary or the Advisory Committee.

Roger could reply again by stating that models that don't show skill in projecting changing statistics can not be used for this reasoning by simulation, but I remain to disgree with him: the skill of climate models to project changing climate statistics at decadal time scales can formally not be established due to large role of natural variability, but is also not always required for generating useful information that enters the imagination process.

You have not cited a third possibility (out of the infinite range of possibilities), no climate change associated with CO2 (due to, for example, cloud cover providing negative feedback), with current increase due to natural variability; or how about possibility four, that increase in CO2 concentrations are caused by the temperature rise, which is in turn caused by (for example) increased solar activity resulting in increased biomass activity etc. etc..

Even assuming the models are a perfect characterisation of the forced response and natural variability of the climate system (in statistical terms), his calculation will (with high probability) find that the obs are not consistent with the mean.

• the contribution of natural climate variability to decade - to - decade climate changes, including changes in the atmosphere's vertical structure associated with natural variability;

Taking inspiration from the Three Body Gravitational Problem (http://www.upscale.utoronto.ca/PVB/Harrison/Flash/Chaos/ThreeBody/ThreeBody.html), with anthropogenic influences as Sun 1 and natural variability as Sun 2, the climate (planet) does not promise forever to orbit in familiar paths.

As I said, when comparing with observations over the short period being considered here, it makes more sense to compare with models that include natural internal variability (i.e.: GCMs — as in the final version) than against models that do not include this and only include externally - forced changes (ie: Simple Climate Models, SCMs, — as in the SOD version).

It doesn't mean that there can't be any natural variability that appears as wobbles in the temperature record (or in other climate variables), masking the multi-decadal temperature trend over a time scale shorter than 20 years with the effect that the longer term trend is not statistically detectable in the time series, if one chooses the time period only short enough.

Jan Perlwitz says:» It doesn't mean that there can't be any natural variability that appears as wobbles in the temperature record (or in other climate variables), masking the multi-decadal temperature trend over a time scale shorter than 20 years with the effect that the longer term trend is not statistically detectable in the time series, if one chooses the time period only short enough.»

Firstly, even with man - made global warming taken into account, because of the short - term noise due to the internal variability in the climate system, climate models predict that there will be decades where natural cycles dampen the man - made warming trend.

The distribution, cyclical pattern, rate, and extent of recent global warming are [fully / mostly / partially / not] consistent with natural variability in Earth's climate.

The advantage of recognising a reversed sign for the solar effect high up in the atmosphere is that it enables a scenario whereby the bottom up effects of ocean cycles and the top down effects of solar variability can be seen to be engaged in a complex ever changing dance with the primary climate response being changes in the tropospheric air circulation systems to give us the observed natural climate variability via cyclical latitudinal shifts in all the air circulation systems and notably the jet streams.