Sentences with phrase «global modeling methods»

Methods: The team used new relationships between chronic mortality and exposure to fine particulates and ozone, global modeling methods and new future climate scenarios to simulate the co-benefits of global greenhouse gas reductions on air quality and human health.

Not exact matches

The lean startup method is quickly becoming the new global standard for business model development.

However, in the 2013 Fifth Assessment Report (AR5), the IPCC concluded that «Modelling indicates that SRM methods, if realizable, have the potential to substantially offset a global temperature rise, but they would also modify the global water cycle, and would not reduce ocean acidification.»

True global collaboration means «including the agendas, perspectives, approaches, methods, models, and voices of scientists from all parts of the world.»

For the first time, a map of fecal viruses traveling our global waterways has been created using modeling methods to aid in assessing water quality worldwide.

Now, high throughput sequencing, quantitative imaging methods, dedicated bio-informatics and modeling tools are poised to assess the complexity of the global ocean systems.

Methods: The PNNL research team analyzed model outputs from 24 global climate models used in the Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report (AR5).

Methods: Researchers Drs. Samson M. Hagos and L. Ruby Leung, atmospheric scientists at PNNL, surveyed tropical divergence in three global climate models, three global reanalyses (models corrected with observational data), and four sets of field campaign soundings.

Because small - scale climate features, such as clouds and atmospheric aerosol particles, have a large impact on global climate, it's important to improve the methods used to represent those climate features in the models.

Methods: Scientists at PNNL developed a new aerosol - climate model as an extension of a multi-scale modeling framework model that embeds a cloud - resolving model (CRM) within each grid column of a global climate model.

For the three subprojects proposed here, the synthesis tools to be established within BIOACID range from meta - analysis techniques over regional and global numerical ecosystem models to economic methods of integrated assessment.

Wang, B., et al., 2004: Design of a new dynamical core for global atmospheric models based on some efficient numerical methods.

Michael Reiken, Director of Global Marketing & Acquisitions at Text2Pay, will present at the iDate Mobile Dating Conference on the importance of virtual gifts, freemium models and mobile payment methods for dating websites.

With absolute devotion to value investing principles, modeled after the investing style pioneered by Benjamin Graham, Charles adapted Graham's methods to the realities of today's global marketplace.

A new method based on global climate model pressure gradients was developed for identifying coastal high - wind fire weather conditions, such as the Santa Ana Occurrence (SAO).

In order to understand the potential importance of the effect, let's look at what it could do to our understanding of climate: 1) It will have zero effect on the global climate models, because a) the constraints on these models are derived from other sources b) the effect is known and there are methods for dealing the errors they introduce c) the effect they introduce is local, not global, so they can not be responsible for the signal / trend we see, but would at most introduce noise into that signal 2) It will not alter the conclusion that the climate is changing or even the degree to which it is changing because of c) above and because that conclusion is supported by multiple additional lines of evidence, all of which are consistent with the trends shown in the land stations.

You can also account for possible errors in the amplitudes of the external forcing and the model response by scaling the signal patterns to best match the observations without influencing the attribution from fingerprinting methods, and this provides a more robust framework for attributing signals than simply looking at the time history of global temperature in models and obs and seeing if they match up or not.

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 measurements).

Even if the study were right... (which it is not) mainstream scientists use * three * methods to predict a global warming trend... not just climate computer models (which stand up extremely well for general projections by the way) under world - wide scrutiny... and have for all intents and purposes already correctly predicted the future -(Hansen 1988 in front of Congress and Pinatubo).

To overcome these drawbacks, researchers at the MIT Joint Program on the Science and Policy of Global Change propose an alternative method that only a handful of other groups are now pursuing: a self - consistent modeling framework to assess climate impacts across multiple regions and sectors.

I spent 12 years at NASA Goddard Space Flight Center and its Global Modeling and Assimilation Office was working on pioneering methods for assimilation.

ECMWF, NCEP GFS, UK MetOffice Unified Model, and Canadian GEM are the top global weather models and each use somewhat different methods to forecast one atmosphere.

Shows that a suite of modeled and derived measures (produced from daily maximum — minimum temperatures) linking plant development (phenology) with its basic climatic drivers provide a reliable and spatially extensive method for monitoring general impacts of global warming on the start of the growing season

Khan says, «Since we need local and regional information, we downscale the global data to local area information through the grid method, using climate modelling.»

Syllabus: Lecture 1: Introduction to Global Atmospheric Modelling Lecture 2: Types of Atmospheric and Climate Models Lecture 3: Energy Balance Models Lecture 4: 1D Radiative - Convective Models Lecture 5: General Circulation Models (GCMs) Lecture 6: Atmospheric Radiation Budget Lecture 7: Dynamics of the Atmosphere Lecture 8: Parametrizations of Subgrid - Scale Physical Processes Lecture 9: Chemistry of the Atmosphere Lecture 10: Basic Methods of Solving Model Equations Lecture 11: Coupled Chemistry - Climate Models (CCMs) Lecture 12: Applications of CCMs: Recent developments of atmospheric dynamics and chemistry Lecture 13: Applications of CCMs: Future Polar Ozone Lecture 14: Applications of CCMs: Impact of Transport Emissions Lecture 15: Towards an Earth System Model

logical fallacy, circular reasoning, model validation, data analysis, mathematical models, learning set, test set, climate change, global warming, field data, statistics, scientific method

The whole global warming thing is run on a political model, not a scientific method model.

These results are obtained from 16 global general circulation models downscaled with different combinations of dynamical methods... http://dx.doi.org/10.1175/JCLI-D-12-00766.1

- ARAMATE (The reconstruction of ecosystem and climate variability in the north Atlantic region using annually resolved archives of marine and terrestrial ecosystems)- CLIM - ARCH-DATE (Integration of high resolution climate archives with archaeological and documentary evidence for the precise dating of maritime cultural and climatic events)- CLIVASH2k (Climate variability in Antarctica and Southern Hemisphere in the past 2000 years)- CoralHydro2k (Tropical ocean hydroclimate and temperature from coral archives)- Global T CFR (Global gridded temperature reconstruction method comparisons)- GMST reconstructions - Iso2k (A global synthesis of Common Era hydroclimate using water isotopes)- MULTICHRON (Constraining modeled multidecadal climate variability in the Atlantic using proxies derived from marine bivalve shells and coralline algae)- PALEOLINK (The missing link in the Past — Downscaling paleoclimatic Earth System Models)- PSR2k (Proxy Surrogate ReconstructiGlobal T CFR (Global gridded temperature reconstruction method comparisons)- GMST reconstructions - Iso2k (A global synthesis of Common Era hydroclimate using water isotopes)- MULTICHRON (Constraining modeled multidecadal climate variability in the Atlantic using proxies derived from marine bivalve shells and coralline algae)- PALEOLINK (The missing link in the Past — Downscaling paleoclimatic Earth System Models)- PSR2k (Proxy Surrogate ReconstructiGlobal gridded temperature reconstruction method comparisons)- GMST reconstructions - Iso2k (A global synthesis of Common Era hydroclimate using water isotopes)- MULTICHRON (Constraining modeled multidecadal climate variability in the Atlantic using proxies derived from marine bivalve shells and coralline algae)- PALEOLINK (The missing link in the Past — Downscaling paleoclimatic Earth System Models)- PSR2k (Proxy Surrogate Reconstructiglobal synthesis of Common Era hydroclimate using water isotopes)- MULTICHRON (Constraining modeled multidecadal climate variability in the Atlantic using proxies derived from marine bivalve shells and coralline algae)- PALEOLINK (The missing link in the Past — Downscaling paleoclimatic Earth System Models)- PSR2k (Proxy Surrogate Reconstruction 2k)

The dataset was produced by researchers at Scripps Institution of Oceanography at the University of California San Diego who developed a new climate «downscaling» method for global climate models known as localized constructed analogs (LOCA).

Here we show that accounting for recent cooling in the eastern equatorial Pacific reconciles climate simulations and observations.We present a novel method of uncovering mechanisms for global temperature change by prescribing, in addition to radiative forcing, the observed history of sea surface temperature over the central to eastern tropical Pacific in a climate model.

While regional climate downscaling yields higher spatial resolution, the downscaling is strongly dependent on the lateral boundary conditions and the methods used to constrain the regional climate model variables to the coarser spatial scale information from the parent global models.

I have bothered to put together a basic understanding of the Lunar tidal forces and their effects, into an analog method that takes advantage of the repeating composite patterns of the global circulation patterns, that should be forming the basic underlying premise of the forecast models currently in use.

For a method for that, may I encourage you to look at Roy Spencer's recent model on thermal diffusion in the ocean: More Evidence that Global Warming is a False Alarm: A Model Simulation of the last 40 Years of Deep Ocean Warming June 25th, 2011 See especially his Figure Forcing Feedback Diffusion Model Explains Weak Warming in 0 - 700 m layer as Consistent with Low Climate Sensitivity His model appears to be more accurate than the IPmodel on thermal diffusion in the ocean: More Evidence that Global Warming is a False Alarm: A Model Simulation of the last 40 Years of Deep Ocean Warming June 25th, 2011 See especially his Figure Forcing Feedback Diffusion Model Explains Weak Warming in 0 - 700 m layer as Consistent with Low Climate Sensitivity His model appears to be more accurate than the IPModel Simulation of the last 40 Years of Deep Ocean Warming June 25th, 2011 See especially his Figure Forcing Feedback Diffusion Model Explains Weak Warming in 0 - 700 m layer as Consistent with Low Climate Sensitivity His model appears to be more accurate than the IPModel Explains Weak Warming in 0 - 700 m layer as Consistent with Low Climate Sensitivity His model appears to be more accurate than the IPmodel appears to be more accurate than the IPCC's.

Should we sublect global warming models and modelers to similar scrutiny of methods and motives?

We reconstruct, by applying our model, the modulation potential since 1616, a parameter that describes the mean energy loss of GCR particles within the heliosphere due to solar modulation, and using that, we model the global production of radionuclides 14C and 10Be, adopting the method described in Kovaltsov et al. (2012) and Kovaltsov & Usoskin (2010), respectively.

In terms of longer timescales (decadal to century), once the focus becomes regional rather than global, historical and paleo data becomes more useful than global climate model simulations (no matter what type of «right - scaling» methods are attempted).

Hence, while high resolution global climate models (GCMs) and many downscaling methods can provide high resolution data, and add value in, for example, regions of complex topography, it is not a given that there will be more value in the final climate change message.

Baseline (i.e., mean 1971 — 1999) global varies between 461 Pg C and 998 Pg C, and increases with ΔMLT for all vegetation models under all 110 climate and CO2 increase scenarios (Fig. 1)(see Materials and Methods and SI Text for details of simulations).

To remove bias in GIA models, our best method requires comparing Global Positioning System data (GPS) that measures the current bedrock uplift with GIA modeled predictions.

The sources of uncertainty are many, including the trajectory of greenhouse gas emissions in the future, their conversion into atmospheric concentrations, the range of responses of various climate models to a given radiative forcing and the method of constructing high resolution information from global climate model outputs (Pittock, 1995; see Figure 13.2).

«In conclusion, the detection of the global temperature response to greenhouse gas increases is robust to 22 model and observational uncertainty, and methods applied to detect it.

In contrast with his method, when I take the 1900 - 1960 AMO / PDO / SOI vs. Global temp model to «predict» 1961 - 2009, I find that the prediction deviates from actual temperature more and more with each passing year.

The method is somewhat circular, since forcing for each model is calculated each year as the product of its estimated climate feedback parameter and its simulated global warming, adjusted by the change in its radiative imbalance (heat uptake).

Using output from Global Climate Models participating in the Fifth Phase of the Coupled Model Intercomparison Project, PCIC has applied a statistical downscaling method called BCSD to create a set of downscaled climate projections of precipitation, minimum temperature and maximum temperature.

The criticism mainly focused on the conceptual use of untested methods of CDR to keep global warming below 2C above pre-industrial levels in model simulations, the potential risks of deploying CDR technologies at scale, and the role of science in climate policy negotiations.

I worry about the minute detail involved; 0.1 per decade here, an adjustment there, the arguments over statistical methods, the use of models, the fact that a global average is nonsense etc..

Searching for Integrated Assessment: A Preliminary Investigation of Methods, Models, and Projects in the Integrated Assessment of Global Climatic Change.

We assess this possibility using an ensemble of 30 realizations of a single global climate model [the National Center for Atmospheric Research (NCAR) Community Earth System Model (CESM1) Large Ensemble experiment («LENS»)-RSB-(29)(Materials and Methmodel [the National Center for Atmospheric Research (NCAR) Community Earth System Model (CESM1) Large Ensemble experiment («LENS»)-RSB-(29)(Materials and MethModel (CESM1) Large Ensemble experiment («LENS»)-RSB-(29)(Materials and Methods).

The most commonly used method for representing lightning in global atmospheric models generally predicts lightning increases in a warmer world.