Sentences with phrase «using a climate model showed»

Simulations using a climate model showed that several large, closely spaced eruptions could have cooled the Northern Hemisphere enough to spark sea - ice growth and the subsequent feedback loop.

Not exact matches

The ability of the inorganic component of sea spray particles to take up water has been the focus of this international study where a large suite of well - controlled laboratory experiments have shown, for the first time, that the hygroscopicity of the inorganic component of sea spray is significantly lower than pure sodium chloride, a substance routinely used to describe their hygroscopicity in climate models.

Using math and computer skills, he developed systems models showing 150 years of climate variability.

Using an interdisciplinary approach that combined evidence from climate modelling of large 20th - century eruptions, annual measurements of Nile summer flood heights from the Islamic Nilometer — the longest - known human record of environmental variability — between 622 and 1902, as well as descriptions of Nile flood quality in ancient papyri and inscriptions from the Ptolemaic era, the authors show how large volcanic eruptions impacted on Nile river flow, reducing the height of the agriculturally - critical summer flood.

«One idea is to develop disease models that can use existing climate models to predict where these vectors will show up due to climate variability,» she said.

This time, no return to cooler period Tim Barnett, a climatologist at Scripps Institution of Oceanography, said the new results appear to agree with his earlier work that used climate models to show humans» greenhouse gas emissions have contributed to declining snowpack in the western United States.

Mr Cauchy said: «Now that they have been shown to be useful for modelling climate, monitoring storms or protecting marine life, I hope that other researchers will integrate the silent robot divers into their work and their use will broaden.»

Subsequently cited in 54 papers, the Science study showed that even using the lower end of 23 climate models suggested that in the tropics at the end of the century, «the hottest seasons on record will represent the future norm in many locations,» with the devastating impacts on wheat and rice yields.

Using climate models to understand the physical processes that were at play during the glacial periods, the team were able to show that a gradual rise in CO2 strengthened the trade winds across Central America by inducing an El Nino - like warming pattern with stronger warming in the East Pacific than the Western Atlantic.

The researchers showed that the climate change models used by the IPCC underestimate Africa's emissions, which could account for 20 - 55 % of global anthropogenic emissions of gaseous and particulate pollutants by 2030.

The study, published online today in Nature Communications, used sophisticated climate model simulations to show that El Niño tends to peak during the year after large volcanic eruptions like the one at Mount Pinatubo in the Philippines in 1991.

A land - ocean pattern like that above was used in a climate model to show how storm clouds could have shielded ancient Venus from strong sunlight and made the planet habitable.

Using a custom, state - of - the - art model of these sectors, the researchers showed that the window for initiating additional climate action would close between 2023 and 2025 for the automotive sector and between 2023 and 2026 for the electric sector.

Using climate models at the Laboratoire de Météorologie Dynamique, François Forget (CNRS) and Martin Turbet (UPMC) show that, with a cold climate and an atmosphere denser than it is today, ice accumulated at around latitude 25 ° S, in regions corresponding to the sources of now dry river beds.

Van Vuuren was a key figure in the early use of BECCS within climate models, as shown in Carbon Brief's interactive timeline of the technology published in 2015.

As we've said many times, evidence continues to show weaknesses in climate models used to predict future warming.

Rather, their analysis shows that if you compare the LGM land cooling with the model land cooling, then the model that fits the land best has much higher GLOBAL climate sensitivity than you get for best fit if you use ocean data.

Over the last five years, the BAMS report has examined more than 100 events as part of a burgeoning sub-field of climate science that uses observations and climate models to show how human - caused warming has already affected the odds or severity of many of the weather extremes we experience now.

The figure below shows the lower stratospheric temperature results from climate models using both all forcings and natural forcings only from 1880 to 2012.

«[B] y making use of 21 CMIP5 coupled climate models, we study the contribution of external forcing to the Pacific Ocean regional sea level variability over 1993 — 2013, and show that according to climate models, externally forced and thereby the anthropogenic sea level fingerprint on regional sea level trends in the tropical Pacific is still too small to be observable by satellite altimetry.»

Standard climate models don't show skill at the interannual timescales which depend heavily on El Niño's and other relatively unpredictable internal variations (note that initiallised climate model projections that use historical ocean conditions may show some skill, but this is still a very experimental endeavour).

This issue can however be avoided completely by using the actual radiative transfer model to examine climate model output, and that kind of approach was used in Hansen et al (2002) to show that the climate models can match the surface record, the MSU 2 channel and the MSU 4 channel completely consistently.

You may claim my comments are veering «off topic», but I am supporting the use of OHC as a metric and showing how climate models get it wrong.

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 measureclimate 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 measureclimate 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 measureclimate 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 measureclimate 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 measureClimate 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 measureclimate 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).

Though we don't necessarily attribute this to global warming, it is interesting to note that none of the climate models used for the 2007 International Panel on Climate Change report showed a decrease of this magclimate models used for the 2007 International Panel on Climate Change report showed a decrease of this magClimate Change report showed a decrease of this magnitude.

Using (i) a state - of - the - art global climate model and (ii) a low - order energy balance model, we show that the global climate feedback is fundamentally linked to the geographic pattern of regional climate feedbacks and the geographic pattern of surface warming at any given time.

Sensitivity analysis shows that future fire potential depends on many factors such as climate model and emission scenario used for climate change projection.

The fact that even model versions with very high climate sensitivities pass their test does not show that the real world could have such high climate sensitivity; it merely shows that the test they use is not very selective.

But for journalists and others who are not climate scientists, some narrative would help, as inline text and more clarification as footnotes if needed including, cover for example: — being very clear for a graph what was being forecast (people play silly games with Hansen, confusing which was BAU)-- Perhaps showing original graph first «This is what was predicted...» in [clearly a] sidebar THEN annotated / overlayed graph with «And this is how they did...» sidebar — placing the prediction in context of the evolving data and science (e.g. we'd reached 3xx ppm and trajectory was; or «used improved ocean model»; or whatever)-- perhaps a nod to the successive IPCC reports and links to their narrative, so the historical evolution is clear, and also perhaps, how the confidence level has evolved.

I've been using the solar flux and planck's law and ground heat conductivity and capacitance to build a (very simple) «climate» simulation model that showed the energy exchanges over a day.

So my point is that yes, the actual climate model runs we used * do * show a lot of decadal and higher frequency decadal variability.

Cochelin et al used a model of intermediate complexity to show that the orbital variations over the next 100,000 years are weak enough that even a little human CO2 remaining in the atmosphere is enough to keep the earth out of an ice age («Simulation of long - term future climate changes with the green McGill paleoclimate model: The next glacial inception»).

[Response: Following up Gavin's comment, it has indeed already been shown — based on experiments with synthetic proxy data derived from a long climate model simulation (see Figure 5 herein)-- that the calibration method used by Moberg et al is prone to artificially inflating low - frequency variability.

The researchers used a climate - vegetation model that showed (like several similar studies) a clear increase in Amazonian drought following a global average temperature rise — leading to a large - scale die - back of rainforest, switching to grassland and savanna climate suitability.

This graph shows the forcings (CO2, and other stuff) used by Hansen in the model runs for each of his three future scenarios, plotted alongside the actual climate forcings that were observed.

Knutti et al. (2006), using a different, perturbed physics ensemble, showed that models with a strong seasonal cycle in surface temperature tended to have larger climate sensitivity.

Recently Gregory showed on Watts Up With That how EC's climate model is the worst of any used by the IPCC.

A paper they published in 2008 used a very simple climate model to make this argument, but subsequent research showed that their model was actually too simple, and failed to accurately represent how the global climate operates (green in the first graphic).

Using error - propagation the way it is done here shows precisely the same mistake that seems to appear in a lot of climate models, a false assumption of linearity, starting from some conditions in a system that is physically strongly non-linear and numerically chaotic.

A team of researchers have showed in Science Advances that a popularly used climate model may significantly overestimate the stability of AMOC.

In most models that show the world reducing emissions enough to hit the 2 °C climate target, «solar energy emerges only as a minor mitigation option» — around 5 to 17 percent of global electricity supply in one representative study used by the Intergovernmental Panel on Climate Change climate target, «solar energy emerges only as a minor mitigation option» — around 5 to 17 percent of global electricity supply in one representative study used by the Intergovernmental Panel on Climate Change Climate Change (IPCC).

Other recent assessments using the FAO / IIASA Agro-Ecological Zones model (AEZ) in conjunction with IIASA's world food system or Basic Linked System (BSL), as well as climate variables from five different GCMs under four SRES emissions scenarios, show further agricultural impacts such as changes in agricultural potential by the 2080s (Fischer et al., 2005).

As shown in Figure 2, the IPCC FAR ran simulations using models with climate sensitivities (the total amount of global surface warming in response to a doubling of atmospheric CO2, including amplifying and dampening feedbacks) correspoding to 1.5 °C (low), 2.5 °C (best), and 4.5 °C (high).

Using short, noisy records, with flawed and adjusted data, it is possible to run broken climate models and show «definitively» that current heat - waves and hottest years are due to man - made emissions.

The IPCC chapter on climate models appears to justify use of the models by saying they show an increase in temperature when CO2 is increased.

Miyamoto and his colleagues showed that an intermediate resolution can be used to drive deep moist convection, thus providing a clear target for future climate model development.

The top right map shows results from models that included only natural climate influences, using estimated conditions from the late nineteenth century.

the proposed harmonic model (which herein uses cycles with 9.1, 10 — 10.5, 20 — 21, 60 — 62 year periods) is found to well reconstruct the observed climate oscillations from 1850 to 2011, and it is shown to be able to forecast the climate oscillations from 1950 to 2011 using the data covering the period 1850 — 1950, and vice versa.

Koutsoyiannis (2011) showed that an ensemble of climate model projections is fully contained WITHIN the uncertainty envelope of traditional stochastic methods using historical data, including the Hurst phenomena... the Hurst phenomena (1951) describes the large and long excursions of natural events above and below their mean, as opposed to random processes which do not exhibit such behavior.

That analysis has been done without using climate models and it shows that the added CO2 adds lots and lots of energy to the earth / ocean / climate system.