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I'm wondering which of «the models» (should I assume from this you're well versed in
the field of climate modelling?)
The Manabe & Wetherald paper is considered by many as a pioneering effort in
the field of climate modelling, one that effectively opened the door to projecting future climate change.
If you are right and there is no ongoing debate this by itself tells me the whole
field of climate modeling has been politically subverted and their current long term model work isn't worth that much.
You may get some good answers by your approach of contesting the modelers, but what's really needed is a new type of systematic presentation of the whole
field of climate modeling.
Not exact matches
CA Department
of Food and Agriculture awards CSWA a $ 450,000 grant for a four - year project to drive
climate protection and innovation through
field testing a carbon offset and greenhouse gas emissions
model for California wine grape growers (2010)
Future
field experiments that can manipulate all three conditions at once will lead to better
models of how long - term
climate changes will affect ecosystems worldwide.
Nadeau also studies the potential impacts
of climate change on species around the globe, using
modeling,
field observation and experiments to predict where species are most vulnerable and determine how conservation groups can best mitigate the negative impacts
of climate change on animal populations.
That means existing
climate change
models predicting the effects
of rising temperatures and heat stress on maize may be counting on yield boosts that aren't coming, and overestimating how much our corn
fields will yield in the future.
The simulations were performed over an area that typically constitutes a single
field area in
climate models, that is, an area
of 200 km x 200 km.
Using published data from the circumpolar arctic, their own new
field observations
of Siberian permafrost and thermokarsts, radiocarbon dating, atmospheric
modeling, and spatial analyses, the research team studied how thawing permafrost is affecting
climate change and greenhouse gas emissions.
«This study is very important because [dust devils] are a big source
of dust in the atmosphere on Mars,» but the methods
of counting them are «primitive,» says Jeffery Hollingsworth, a research scientist who
models the martin
climate at the NASA Ames Research Center Planetary Systems Branch in Moffett
Field, California.
The new
model is the first to document and quantify this new feedback — one that is not accounted for in
climate models, says Jason Box, an ice scientist at the Geological Survey
of Denmark and Greenland in Copenhagen, who has documented rising impurities at a local scale during
field campaigns.
David Thomas
of the University
of Oxford and his colleagues investigated what might happen to the immense dune
fields in southern Africa over the coming years using three global
climate models.
The Holuhraun lava
field explosion
of 2014 and 2015 could help scientists sharpen
climate change
models
Click here for Part II, an accounting
of Exxon's early
climate research; Part III, a review
of Exxon's
climate modeling efforts; Part IV, a dive into Exxon's Natuna gas
field project; Part V, a look at Exxon's push for synfuels; Part VI, an accounting
of Exxon's emphasis on
climate science uncertainty.
After the
field campaign, Fast will perform computer simulations to help evaluate all
of the
field campaign data and quantify the uncertainties associated with using coarse grid global
climate models to study megacity emissions and to determine the radiative impact
of the Mexico City particulates on the local and regional
climate.
Sally, who was nominated by Dr. Beat Schmid, Associate Director, Atmospheric Sciences and Global Change Division, was honored for her exceptional contribution in the
field of atmospheric science, particularly in her efforts to improve understanding
of the radiative effect
of clouds and aerosols on the Earth's atmosphere and their representation in
climate models.
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.
The Intel «Cherry Creek» supercomputer — which ranks among the world's fastest and most powerful supercomputers for its combination
of speed, power, and energy efficiency — cut down calculation time on complicated analyses from years to days, advancing
fields such as genomics and bioinformatics, medical and
climate research, molecular
modeling, and data analytics.
People who work in this
field, called atmospheric scientists, use computers and math to
model the properties
of Earth's atmosphere that drive weather,
climate and the movement
of gases and pollutants through the air.
Kolbert spends time in the
field in the Arctic, in Greenland, in the smoke - free rooms at the UN, in the dark corridors
of a
climate modelling centre and even includes a few lines
of Fortran code from the GISS
climate model — gobbledygook possibly even to the scientists that wrote it!
Through a unique combination
of field work, satellite data and a
climate model, the researchers were able to explain why some parts
of the East Antarctica ice shelves are melting so rapidly.
The PEGASOS project will investigate the impacts
of European air pollution on
climate change and vice versa by combining
field measurements with state
of the art atmospheric and
climate models.
After reading in a wide variety
of the
climate science literature, I realized that computer
modeling is far beyond any other
field to the extent it depends upon tacit knowledge... by which I mean important knowledge not documented in peer - reviewed publications, nor even in textbooks and gray literature like conference proceedings, but widely shared.
I used to be active in the radiation
field, indeed I co chaired the first ICRCCM study (Intercomparison
of Radiation Codes for
Climate Models).
The study, published online in the Journal
of Climate last month, tapped computer
models and measurements in the
field.
Certainly, the
field that is lumped in under the 2 billion is much broader than the
climate model development community and its policy - driven experiments, which I would guess amounts to less than 5 %
of the total.
I'm no
climate scientist, but I know
models in all
fields are based on clusters
of formulae, and these formulae are often derived from real world data partly by trial and error, and adjusting terms until they can reliably predict past and future data.
Kolbert spends time in the
field in the Arctic, in Greenland, in the smoke - free rooms at the UN, in the dark corridors
of a
climate modelling centre and even includes a few lines
of Fortran code from the GISS
climate model — gobbledygook possibly even to the scientists that wrote it!
This fantasy, which seems to play a central role in the belief system
of model - oriented «
climate scientists,» has never developed any traction among trained geophysicists with
field - going experience.
The Chair
of Land -
Climate interactions investigates the role of land surface processes in the climate system using global (COSMOS) and regional (COSMO - CLM) climate models, land surface models (CLM, TerraLM), diagnostic estimates, ground and satellite observations, and field measur
Climate interactions investigates the role
of land surface processes in the
climate system using global (COSMOS) and regional (COSMO - CLM) climate models, land surface models (CLM, TerraLM), diagnostic estimates, ground and satellite observations, and field measur
climate system using global (COSMOS) and regional (COSMO - CLM)
climate models, land surface models (CLM, TerraLM), diagnostic estimates, ground and satellite observations, and field measur
climate models, land surface
models (CLM, TerraLM), diagnostic estimates, ground and satellite observations, and
field measurements.
Verification & Validation
of models is a standard process in NASA as in most
fields of science... Except obviously in
climate science!
Climateurope, a Horizon 2020 project established earlier this year will replace ECOMS, forming a larger activity to create and manage a framework for coordinating, integrating and supporting Europe's research and innovation activities in the
fields of Earth - System
modelling and
climate services.
Diuk - Wasser, M. A., G. Vourc» h, P. Cislo, A. G. Hoen, F. Melton, S. A. Hamer, M. Rowland, R. Cortinas, G. J. Hickling, J. I. Tsao, A. G. Barbour, U. Kitron, J. Piesman, and D. Fish, 2010:
Field and
climate - based
model for predicting the density
of host - seeking nymphal Ixodes scapularis, an important vector
of tick - borne disease agents in the eastern United States.
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?
The US CLIVAR Greenland Ice Sheet - Ocean Interactions Working Group was formed to foster and promote interaction between the diverse oceanographic, glaciological, atmospheric and
climate communities, including modelers and
field and data scientists within each community, interested in glacier / ocean interactions around Greenland, to advance understanding
of the process and ultimately improve its representation in
climate models.
Most standards in that
field have been established by NASA within the frame
of Apollo and Shuttle development programs, but curiously, NASA - GISS has never applied those standard for validating its
climate models.
The Swedish professor tells the BAZ that he became a skeptic
of alarmist
climate science early on because «the [UN] IPCC always depicted the facts on the subject falsely» and «grossly exaggerated the risks
of sea level rise» and that the IPCC «excessively relied on shaky computer
models instead
of field research.»
(2012), Ice volume and subglacial topography for western Canadian glaciers from mass balance
fields, thinning rates, and a bed stress
model: Journal
of Climate, doi: 10.1175 / JCLI - D -12-00513.1.
Models have many positive uses, even in
climate science... In the
climate field, prediction is not one
of them..
However, type 4 downscaling, while providing the illusion
of higher skill because
of the high spatial resolution
climate fields, has never shown skill at prediction beyond what is already there in the parent global
model.
The results are a part
of the developing
field of «weather attribution» that uses observational weather and
climate data, weather forecasts and
climate models.
Or as a good friend
of mine says, whom I shall not name here, but who is preeminent in the
field of dynamical systems and was a solid contributor to the practice
of modelling climate on computers, «the trouble with the IPCC
models is that they treat the
climate system as if it were a brick.»
• The effects
of management strategies on
climate, ecosystem services, and the resilience
of ecosystems to
climate change;
field experiments and
models designed to learn about coupled human - and environmental systems and to test different management interventions • The valuation
of ecosystem services, including the economic or other costs associated with impacts
of climate and other environmental changes • Adaptive approaches and institutional and governance mechanisms for addressing the regulatory aspects
of special status species management
In the
climate change
field, it may be that the modellers, who in some cases appear to try to drive policy, need someone in my kind
of role, with enough comprehension to assess the validity
of the
models but with a better understanding
of, and ability to communicate, the policy relevance
of the material.
The failure
of the traditional
model of climate science communication has resulted in more exaggeration and alarmism, appeals to authority, appeals to fear, appeals to prejudice, demonizing those that disagree, name - calling, oversimplification... There is a burgeoning
field of social science research related to science communications.
Surely after decades
of satellite measurements, countless
field experiments, and numerous finescale
modeling studies that have repeatedly highlighted basic deficiencies in the ability
of comprehensive
climate models to represent processes contributing to atmospheric aerosol forcing, it is time to give up on the fantasy that somehow their output can be accepted at face value.»
Fabio Sferra,
Climate Policy Analyst Contributing his expertise in the
field of integrated assessment
modelling and mitigation policies for the
Climate Action Tracker project and supporting analysis
of country positions for SIDS and LDCs.
The Year
of the Maritime Continent (YMC)(April 2017 - October 2018) is an international framework for international collaboration on
field observations and
modeling to better understand the role
of the Maritime Continent on the global weather -
climate continuum.