We conduct
regional modeling experiments with the Weather Research Forecast model to assess the quality of current analyses, to understand the interactions between atmosphere and sea ice and to advance characterizations of clouds in the Arctic.
We've just launched another new
regional modelling experiment looking at the link between climate change and the recent heatwaves and drought in Australia and New Zealand.
Results of
these regional modelling experiments are reported in Christensen et al. (2007a).
Not exact matches
«This
experiment in Southeast Asia, based on the AAAS
model, will provide invaluable information on how best to leverage science to enhance
regional development and promote scientific cooperation.»
Using a super-ensemble of
regional climate
model simulations from the climateprediction.net
experiment, we will determine how the carbon produced by these major industrial entities is contributing to the damages from climate change.
The weather@home
regional climate
modelling system for Australia and New Zealand has been used for a number of different
experiments in 2016.
In sensitivity
experiments the influence of removed orography of Greenland on the Arctic flow patterns and cyclone tracks during winter have been determined using a global coupled
model and a dynamical downscaling with the
regional atmospheric
model HIRHAM.
Denis, B., R. Laprise, D. Caya and J. Côté, 2002: Downscaling ability of one - way - nested
regional climate
models: The Big - Brother
experiment.
Model results show that
regional forest loss in all
experiments leads to global cooling (Fig 2A, 2C and 2D) with the cooling dominated by wNA forest loss.
When the project started, we mostly ran global
models looking at long timescales of decades, but more recently we have been running
regional models looking at much shorter time periods of months to a few years as part of our weather@home series of
experiments.
Using a super-ensemble of
regional climate
model simulations from the climateprediction.net
experiment, we will determine how the carbon produced by these major industrial entities is contributing to the damages from climate change.
R Krishnan's group at the Indian Institute of Tropical Meteorology in Pune is leading the South Asia component of the World Climate Research Programme's Coordinated
Regional Downscaling
Experiment (CORDEX) to help develop more - reliable
regional climate change
models that contribute to the climate research community's understanding of
regional climate and monsoon issues under a changing climate, beyond AR5.
The MaRIUS project will make use of the large ensemble of
regional climate
model runs available from our weather@home
experiments.
We are using the citizen science
regional climate
modelling project weather@home to perform large ensembles of the different
experiments described below.
The two - day FAMOS workshop will include sessions on 2017 sea ice highlights and sea ice / ocean predictions, reports of working groups conducting collaborative projects, large - scale arctic climate
modeling (ice - ocean,
regional coupled, global coupled), small (eddies) and very small (mixing) processes and their representation and / or parameterization in
models, and new hypotheses, data sets, intriguing findings, proposals for new
experiments and plans for 2018 FAMOS special volume of publications.
To explore which effect of these effects might «win out», we can run
experiments with our
regional downscaling
model.
Weather@home is a group of
regional climate
modelling experiments within climateprediction.net