Sentences with phrase «numerical models of the climate»

Ultimately, we'd like to be able to reproduce the global signatures of these abrupt climate events with numerical models of the climate system, and investigate the physics that drive such events.»

I'm not claiming this is or isn't a realistic numerical model of climate response, I'm just trying to accurately describe how the model works.

We know that the numerical models of climate are examples of temporal chaotic systems.

Not exact matches

Climate models are complex numerical models based on physics that amount to hundreds of thousands, if not millions, of lines of computer code to model Earth's past, present and future.

«Using a numerical climate model we found that sulfate reductions over Europe between 1980 and 2005 could explain a significant fraction of the amplified warming in the Arctic region during that period due to changes in long - range transport, atmospheric winds and ocean currents.

«The climate was very tense,» says Marco Alves, head of numerical modeling at WavEC - Offshore Renewables in Lisbon.

This study is focused on three specific aspects: to assess the impact of vegetation density on energy efficiency of a roof located at a Mediterranean coastal climate; develop a simplified numeral model that can estimate thermal resistance values equivalent to plants and substrates, and finally, to verify the numerical model by using experimental data.

The Mathematics of the Weather is a forum for the discussion of new numerical approaches for use in numerical forecasting, climate modelling and research into numerical modelling of the atmosphere.

Axel Timmermann and Tobias Friedrich constructed a numerical model that quantifies the effects of past climate and sea - level change on global human migration patterns over the past 125,000 years.

In addition, atmospheric scientist Dr. Hendrik Tennekes, a scientific pioneer in the development of numerical weather prediction and former director of research at The Netherlands» Royal National Meteorological Institute, recently compared scientists who promote computer models predicting future climate doom to unlicensed «software engineers.»

Previously, Kelly was a Postdoctoral Fellow and Research Associate at the University of Washington and the University of Victoria in British Columbia, Canada where she studied the role of the changing Arctic sea ice cover on global circulation, weather, and climate using a hierarchy of numerical global climate models.

Connections between climate and ecosystems, regional impacts and feedbacks of physical properties and the development of regional - to - global numerical models.

A new study shows that the climate simulated by a numerical climate model can depend surprisingly much of what is assumed about the snow grain shapes when computing the reflection of solar radiation by the snowpack.

Goosse, H., et al., 2002: Potential causes of abrupt climate events: a numerical study with a three - dimensional climate model.

The visualization covers the period June 2005 to December 2007 and is based on a synthesis of a numerical model with observational data, created by a NASA project called Estimating the Circulation and Climate of the Ocean, or ECCO for short.

Specializing in the parameterization of land - atmosphere exchange for use in Global Climate, Regional Mesoscale, and Local Cloud - Resolving numerical weather prediction models.

I create parameterizations of land - atmosphere interactions which are incorporated into climate models and numerical weather prediction models.

It's no secret that models — not just of climate, but * all * complex numerical models!

The 650 MB of storage you can place on each CD at the time was huge in terms of numerical data such as climate models.

The same observations and numerical tools that enable new scientific discoveries have the potential to transform modeling of the climate system.

The lecture gives an overview of the main components of global climate models and explains the underlying basics and the numerical formulation of the fundamental equations.

Coverage includes original paleoclimatic, diagnostic, analytical and numerical modeling research on the structure and behavior of the atmosphere, oceans, cryosphere, biomass and land surface as interacting components of the dynamics of global climate.

The scientific focus is on better understanding of climate variability and climate trends using paleo (past)- climate data, instrumental data, and numerical models and theory to assess the importance of internal and external forcing of past, present and future climate.

Sea surface temperature (SST) measured from Earth Observation Satellites in considerable spatial detail and at high frequency, is increasingly required for use in the context of operational monitoring and forecasting of the ocean, for assimilation into coupled ocean - atmosphere model systems and for applications in short - term numerical weather prediction and longer term climate change detection.

«The climate model is run, using standard numerical modeling techniques, by calculating the changes indicated by the model's equations over a short increment of time — 20 minutes in the most advanced GCMs — for one cell, then using the output of that cell as inputs for its neighboring cells.

I was told by one semi-expert climate scientist (someone who was in the process of changing fields to climate science from a different numerical modeling field, as so possibly still catching up) that although globally aerosols played the most important role in this period, there was also around the same time period (maybe beginning slightly earlier?

It is clear to me that the numerical modeling component of the climate change controversy has completely lost uncertainty of knowledge communications.

Very few of these people would call themselves climate scientists — they are a collection of people who study the ocean, air, past climate, numerical models, physics, ice, etc..

The US CLIVAR / OCB Southern Ocean Working Group was formed to identify critical observational targets and develop data / model metrics based on the currently available observational data, both physical and tracer, and the assimilative modeling (re) analyses, and evaluate and develop our understanding of the importance of mesoscale eddies in the heat and carbon uptake and of the response of the Southern Ocean to a changing climate, using high - resolution numerical studies and theory.

New research by Misra and Mishra in the Journal of Geophysical Research: Atmospheres shows that differences in the ocean bathymetry (or topography) of two novel numerical climate model integrations can influence the ocean currents and their impact on regional climate.

They constructed a numerical network model from 4 observed ocean and climate indices — ENSO, PDO, the North Atlantic Oscillation (NAO) and the Pacific Northwest Anomaly (PNA)-- thus capturing most of the major modes of climate variability in the period 1900 — 2000.

ARCTIC-WISE: Bridging Northern Knowledges of Change Subsea Permafrost and the Methane Cycle on the Siberian Continental Shelf: Predictive Modelling for Climate Change David Archer, Geophysical Sciences, University of Chicago Tuesday, March 10, 2015, 5 - 6:30 pm A numerical model called SpongeBOB is used to simulate the hydrology and methane cycle on the Siberian continental shelf.

The difference in the climatological mean June - July - August ocean heat content as measured by the depth of the 20 °C isotherm (in meters) overlaid with corresponding differences in ocean heat transport vectors (W / m) between two numerical climate models with slightly different bathymetries.

One of the strongest opponents I know of this appropriation of climate models is the preeminent expert in numerical analysis and dynamical systems, Chris Essex, who himself worked on climate models for years.

We illustrate the advantages of our method through theoretical results, simulation studies, temperature records in Paris and outputs from a numerical climate model.

In our work we use observations as well as a hierarchy of numerical models to study dynamical processes in the atmosphere, and climate variability.

I won't repeat what I said on an earlier forum, but a quick look at Paul Williams» presentation on numerical errors in climate modeling shows a host of issues that would lead me to assign a rather high uncertainty to the model results, and then we have the uncertainties in the physical models themselves.

You need some way (and I think this may be the biggest issue in climate models) of distinguishing numerical errors and model errors.

The speaker, a relatively young climate scientist, presented a piece of research using numerical models to assess how various human influences (including but not limited to greenhouse gases) affected a particular aspect of the 20th century climate record in the United States.

What is your response to the work of Paul Williams who has shown the critical importance of better numerical methods in climate models, not just for local error (which everyone acknowledges is large) but for the time averaged properties and «patterns» that are claimed to be meaningful and repeatable.

And different models may project different outcomes even under the same assumptions, due to the variety of «equally plausible numerical representations, solutions and approximations for modelling the climate system, given the limitations in computing and observations» [AR5, FAQ 12.1, p. 1036].

That requires considerable sensitivity research with state - of - the art numerical weather prediction (and climate) models... This hand - waving theory may not hold up when a rigorous scientific hypothesis is tested, yet McKibben does not provide a citation or reference aside from Masters» quotations, which are not peer - reviewed in the slightest.»

«We have groups doing numerical weather prediction, hurricanes, climate, oceans, but in the international arena, countries have whole institutions doing the functions of these individual groups,» said Dr. Ronald J. Stouffer, who designs and runs climate models at the Geophysical Fluid Dynamics Laboratory in Princeton, N.J., a top Commerce Department center for weather and climate work.

Users of chemistry - climate models (CCMs) with particular focus on long - term numerical simulations using CCMs for the detailed investigation of model feedbacks between ozone chemistry, ozone depleting substance (ODS) trends, and climate.

A new study shows that the climate simulated by a numerical climate model can depend surprisingly much of what is assumed about the snow grain shapes when computing the reflection of solar radiation by the snowpack.

In addition, atmospheric scientist Dr. Hendrik Tennekes, a scientific pioneer in the development of numerical weather prediction and former director of research at The Netherlands» Royal National Meteorological Institute, recently compared scientists who promote computer models predicting future climate doom to unlicensed «software engineers.»

Modern numerical models of weather and climate are over half a century old.

Point two suggested an alternative between «This needs to be demonstrated either in the context of a more comprehensive scale analysis that includes the Navier Stokes equations» and «numerical model simulations using mesoscale or weather or climate models.»

In this interdisciplinary review, we are guided by our interest in exploring the nexus between climate and concepts such as energy, entropy, symmetry, response, multiscale interactions, and its potential relevance in terms of numerical modeling.

As soon as a global climate model readjusts a vertical column to unphysically alter the large scale solution in order to maintain hydrostatic balance (overturning due to unrealistic heating parameterizations necessitate this adjustment), there is no mathematical theory that can justify the nature of the ensuing numerical solution.