Sentences with phrase «data from global climate models»

Using existing output data from global climate models, the researchers plotted projections of changes in global average temperature and rainfall against regional changes in daily extremes.

The first paper (Flower et al., 2013) used downscaled climate data from global climate models, subject to three different emissions scenarios, to examine the effect of projected climate change on the distribution of Douglas Fir and three types of spruce.

That regional climate models can take past data from global climate models and produce a «reasonably good simulation of regional climate» is quite an achievement — almost a miracle to me.

Not exact matches

Using multiple climate models and hundreds of terabytes of data, NASA has projected global temperatures and rainfall around the world from 2050 until 2100.

The goals of the project include reconstructing extreme climate changes from the recent past (1894 - 2014), using historically referenced data to assess near - future global climate model projections, and to ultimately use this analysis to investigate ecological problems in Chesapeake Bay, such as eelgrass diebacks.

To model a world of ebbing and flowing burns, Krawchuk took historic fire data then mapped it forward using 16 models of changing climates from 2010 on, what the Intergovernmental Panel on Climate Change calls global climate modelsClimate Change calls global climate modelsclimate models (GCM).

For assessing the global ocean - carbon sink, McKinley and her co-authors from the National Oceanic and Atmospheric Administration (NOAA) Pacific Marine Environmental Laboratory, NCAR and the University of Colorado Boulder used the model to establish a long - running climate scenario from historical data.

In his PhD dissertation, he developed a global rapid loss estimation model for earthquake, using empirical data from over 8000 earthquakes since 1900 and the associated socioeconomic climate over time.

Using climate models and data collected about aerosols and meteorology over the past 30 years, the researchers found that air pollution over Asia — much of it coming from China — is impacting global air circulations.

Scientists are involved in the evaluation of global - scale climate models, regional studies of the coupled atmosphere / ocean / ice systems, regional severe weather detection and prediction, measuring the local and global impact of the aerosols and pollutants, detecting lightning from space and the general development of remotely - sensed data bases.

Because elements of this system are poorly understood and poorly represented in global climate models, collecting real - time, complementary data from a variety of areas will go a long way toward improving scientists ability to use these models for making accurate predictions about Earths climate.

Find out how researchers are using data from U.S. Department of Energy's Atmospheric Radiation Measurement (ARM) Climate Research Facility — the world's most comprehensive outdoor laboratory and data archive for research related to atmospheric processes that affect Earth's climate — to improving regional and global climate Climate Research Facility — the world's most comprehensive outdoor laboratory and data archive for research related to atmospheric processes that affect Earth's climate — to improving regional and global climate climate — to improving regional and global climate climate models.

It's a long paper with a long title: «Ice melt, sea level rise and superstorms: evidence from paleoclimate data, climate modeling, and modern observations that 2 oC global warming could be dangerous».

«Ice melt, sea level rise and superstorms: evidence from paleoclimate data, climate modeling, and modern observations that 2o C global warming could be dangerous»

The full title is: «Ice melt, sea level rise and superstorms: evidence from paleoclimate data, climate modeling, and modern observations that 2 o C global warming could be dangerous ``.

If you want a really really simple statistical climate model, try correlating global mean annual temperature & / or sea level with the CO2 data from Mauna Loa.

The authors compared recently constructed temperature data sets from Antarctica, based on data from ice cores and ground weather stations, to 20th century simulations from computer models used by scientists to simulate global climate.

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).

On July 23, I wrote about the rocky rollout, prior to peer review, of «Ice Melt, Sea Level Rise and Superstorms: Evidence from Paleoclimate Data, Climate Modeling, and Modern Observations that 2 °C Global Warming is Highly Dangerous.»

These climate - related land storage effects could be significant for global sea - levels, though unfortunately there seem to be very few direct experimental measurements of the factors involved, and so the only studies of these effects seem to have been from computer modelling of data from weather data «reanalysis» models (e.g., ERA - 40).

By analyzing data from 17 state - of - the - art global climate models, Cook, Ault and Smerdon learned that western North America's future drought risk exceeded even the driest centuries of the Medieval Climate Aclimate models, Cook, Ault and Smerdon learned that western North America's future drought risk exceeded even the driest centuries of the Medieval Climate AClimate Anomaly.

Data from in situ measurements made at high - altitude stations in the HKH region, observations from satellitebased instruments, and global climate modeling study results are discussed.

«Ice melt, sea level rise and superstorms: evidence from paleoclimate data, climate modeling, and modern observations that 2 C global warming could be dangerous» J Hansen, M Sato, P Hearty, R Ruedy, M Kelley, V Masson - Delmotte,... Atmospheric Chemistry and Physics 16 (6), 3761 - 3812, 2016

The initial title of «Ice melt, sea level rise and superstorms: evidence from paleoclimate data, climate modeling, and modern observations that 2 °C global warming is highly dangerous» had the final phrase changed to «could be dangerous.»

Originally posted on Open Mind: A new paper by Hansen et al., Ice melt, sea level rise and superstorms: evidence from paleoclimate data, climate modeling, and modern observations that 2 °C global warming is highly dangerous is currently under review...

A conclusion from all findings suggest that global data bases are seriously flawed and can no longer be trusted to assess climate trends or rankings or validate model forecasts.

As reported in Roy's post, these plots by John are based upon data from the KNMI Climate Explorer with a comparison of 44 climate models versus the UAH and RSS satellite observations for global lower tropospheric temperature variations, for the period 1979 - 2012 from the satellites, and for 1975 — 2025 for the Climate Explorer with a comparison of 44 climate models versus the UAH and RSS satellite observations for global lower tropospheric temperature variations, for the period 1979 - 2012 from the satellites, and for 1975 — 2025 for the climate models versus the UAH and RSS satellite observations for global lower tropospheric temperature variations, for the period 1979 - 2012 from the satellites, and for 1975 — 2025 for the models.

F. «Global temperature» projections of unverified «climate models,» which involve hypothetical forecasts of, not evidence of, global warming, have increasingly diverged from the most reliable temperature records computed from the data collected by U.S. satelGlobal temperature» projections of unverified «climate models,» which involve hypothetical forecasts of, not evidence of, global warming, have increasingly diverged from the most reliable temperature records computed from the data collected by U.S. satelglobal warming, have increasingly diverged from the most reliable temperature records computed from the data collected by U.S. satellites.

«We use a combination of (1) 9 years of global satellite data, (2) a simple forcing - feedback model of climate variability, and (3) output from the IPCC climate models, to demonstrate various aspects of this issue.

NorACIA have both used the facts from the IPCC and local data and scaled down global climate models to regional effects.»

Metzger et al. (NRL Stennis Space Center), 5.0 (3.4 - 6.0), Modeling The Global Ocean Forecast System (GOFS) 3.1 was run in forecast mode without data assimilation, initialized with July 1, 2015 ice / ocean analyses, for ten simulations using National Centers for Environmental Prediction (NCEP) Climate Forecast System Reanalysis (CFSR) atmospheric forcing fields from 2005 - 2014.

Over the next 3 years the Ocean Colour Climate Change Initiative project aims to: Develop and validate algorithms to meet the Ocean Colour GCOS ECV requirements for consistent, stable, error - characterized global satellite data products from multi-sensor data archives; Produce and validate, within an R&D context, the most complete and consistent possible time series of multi-sensor global satellite data products for climate research and modelling; Optimize the impact of MERIS data on climate data records; Generate complete specifications for an operational production system; Strengthen inter-disciplinary cooperation between international Earth observation, climate research and modelling communities, in pursuit of scientific exceClimate Change Initiative project aims to: Develop and validate algorithms to meet the Ocean Colour GCOS ECV requirements for consistent, stable, error - characterized global satellite data products from multi-sensor data archives; Produce and validate, within an R&D context, the most complete and consistent possible time series of multi-sensor global satellite data products for climate research and modelling; Optimize the impact of MERIS data on climate data records; Generate complete specifications for an operational production system; Strengthen inter-disciplinary cooperation between international Earth observation, climate research and modelling communities, in pursuit of scientific exceclimate research and modelling; Optimize the impact of MERIS data on climate data records; Generate complete specifications for an operational production system; Strengthen inter-disciplinary cooperation between international Earth observation, climate research and modelling communities, in pursuit of scientific exceclimate data records; Generate complete specifications for an operational production system; Strengthen inter-disciplinary cooperation between international Earth observation, climate research and modelling communities, in pursuit of scientific exceclimate research and modelling communities, in pursuit of scientific excellence.

The effects of this uneven sampling are being investigated and quantified in several ways, for example by estimating «true» global - mean temperatures from the complete fields generated by satellite observations, blends of satellite and in situ data, or climate models, and then sampling these fields using the actual (incomplete) observed data coverage (see chapter 9).

NRL - ocn - ice, 5.2 (4.3 - 6.0), Modeling (ice - ocean) The Global Ocean Forecast System (GOFS) 3.1 was run in forecast mode without data assimilation, initialized with June 1, 2016 ice / ocean analyses, for ten simulations using National Centers for Environmental Prediction (NCEP) Climate Forecast System Reanalysis (CFSR) atmospheric forcing fields from 2005 - 2014.

ECMWF as the Entrusted Entity for the Copernicus Climate Change Service (C3S) is building a Climate Data Store (CDS) that will provide open and free access to quality - assured climate observations, global and regional Essential Climate Variable (ECV) products derived from observations, global and regional climate reanalyses, seasonal forecast data and model - generated future climate change sceClimate Change Service (C3S) is building a Climate Data Store (CDS) that will provide open and free access to quality - assured climate observations, global and regional Essential Climate Variable (ECV) products derived from observations, global and regional climate reanalyses, seasonal forecast data and model - generated future climate change sceClimate Data Store (CDS) that will provide open and free access to quality - assured climate observations, global and regional Essential Climate Variable (ECV) products derived from observations, global and regional climate reanalyses, seasonal forecast data and model - generated future climate change scenarData Store (CDS) that will provide open and free access to quality - assured climate observations, global and regional Essential Climate Variable (ECV) products derived from observations, global and regional climate reanalyses, seasonal forecast data and model - generated future climate change sceclimate observations, global and regional Essential Climate Variable (ECV) products derived from observations, global and regional climate reanalyses, seasonal forecast data and model - generated future climate change sceClimate Variable (ECV) products derived from observations, global and regional climate reanalyses, seasonal forecast data and model - generated future climate change sceclimate reanalyses, seasonal forecast data and model - generated future climate change scenardata and model - generated future climate change sceclimate change scenarios.

From a combination of climate models, satellite data, and paleoclimate records the scientists conclude that the West Antarctic ice sheet, Arctic ice cover, and regions providing fresh water sources and species habitat are under threat from continued global warmFrom a combination of climate models, satellite data, and paleoclimate records the scientists conclude that the West Antarctic ice sheet, Arctic ice cover, and regions providing fresh water sources and species habitat are under threat from continued global warmfrom continued global warming.

«Analyze geoscience data and the results from global climate models to make an evidence - based forecast of the current rate of global or regional climate change and associated future impacts to Earth systems.Use a model to describe how variations in the flow of energy into and out of Earth's systems result in changes in climate.»

The GFDL Data Portal also provides access to the latest (and previous) IPCC output from several Coupled Ocean — Atmosphere Global Climate Models (GCMs).

From a combination of climate models, satellite data, and paleoclimate records, Hansen and co-author Makiko Sato of Columbia's Earth Institute, conclude that the West Antarctic ice sheet, Arctic ice cover, and regions providing fresh water sources and species habitat are threatened from continued global warmFrom a combination of climate models, satellite data, and paleoclimate records, Hansen and co-author Makiko Sato of Columbia's Earth Institute, conclude that the West Antarctic ice sheet, Arctic ice cover, and regions providing fresh water sources and species habitat are threatened from continued global warmfrom continued global warming.

The climate information provided for this purpose is derived from observations, global and regional reanalyses, seasonal forecast data, climate model simulations, and other data needed to estimate or project sectoral impacts.

Eli, and the bunnies, have been following the on line review of Ice melt, sea level rise and superstorms: evidence from paleoclimate data, climate modeling, and modern observations that 2 °C global warming is highly dangerous by J. Hansen, M. Sato, P. Hearty, R. Ruedy, M. Kelley, V. Masson - Delmotte, G. Russell, G. Tselioudis, J. Cao, E. Rignot, I. Velicogna, E. Kandiano, K. von Schuckmann, P. Kharecha, A. N. Legrande, M. Bauer, and K. - W.

Together, it is our goal to provide the best description of the middle Pliocene global warming, using perspectives from marine and terrestrial data as well as climate model simulations.

That might have changed this week with the coverage of announcement of «Ice Melt, Sea Level Rise and Superstorms: Evidence from Paleoclimate Data, Climate Modeling, and Modern Observations that 2 °C Global Warming is Highly Dangerous» by James Hansen and 16 other eminent scientists.

Interactive comment on «Ice melt, sea level rise and superstorms: evidence from paleoclimate data, climate modeling, and modern observations that 2C global warming is highly dangerous» by J. Hansen et al..

Although it has been a common practice in studying paleoclimate data to use proxy data from, for example, an ice core in Antarctica, to represent global climate after dividing the former by a factor of ∼ 2 or by a model - determined, latitude - dependent scaling factor, theoretical justification is only beginning to be emphasized (22).

Combine the new and improved data, measured correlation between the old models and the new data, and improved climate models that, when properly vetted and compared with historical climate reconstructions, and you end up with a very compelling global heating theory that has convinced 620 authors from 42 countries that both the theory and the predictions are accurate.

«It is unlikely that coastal cities or low - lying areas such as Bangladesh, European lowlands, and large portions of the United States eastern coast and northeast China plains could be protected against such large sea level rise,» states a report co-authored by Hansen, titled «Ice Melt, Sea Level Rise and Superstorms: Evidence from Paleoclimate Data, Climate Modeling, and Modern Observations that 2 °C Global Warming is Highly Dangerous».