Biogeophysical effects of historical land cover changes simulated by six
Earth system models of intermediate complexity.
In this plot from IPCC (2013 Fig. 9.8), the thin colored lines represent individual models from the Climate Model Intercomparison Project 5 (CMIP5) and the simpler
Earth System Models of Intermediate Complexity (EMIC) and the thick red lines their means, while the thick black lines represent three observed temperature sequences.
Carefully designed non-linear modeling experiments using
Earth system Models of Intermediate Complexity (EMICs; and also the FAMOUS AOGCM; Hawkins et al., 2011) have revealed a model - dependent threshold beyond which an active AMOC can not be sustained (Rahmstorf et al., 2005; see Figure 2.2).
EMICs (
Earth System Models of Intermediate Complexity) are a step down in complexity.
Experience with solution algorithms, data assimilation methods and tools, coupling of components and processes, nonlinear and linear solvers, limiters, and / or other numerical issues common with complex codes within
earth system models of varying complexity
To explore the potential importance of carbon cycle feedbacks in the climate system, explicit treatment of the carbon cycle has been introduced in a few climate AOGCMs and
some Earth System Models of Intermediate Complexity (EMICs).
Another approach uses the response of climate models, most often simple climate models or
Earth System Models of Intermediate Complexity (EMICs, Table 8.3) to explore the range of forcings and climate parameters that yield results consistent with observations (Andronova and Schlesinger, 2001; Forest et al., 2002; Harvey and Kaufmann, 2002; Knutti et al., 2002, 2003; Forest et al., 2006).
Earth System Models of Intermediate Complexity have been evaluated in greater depth than previously.
Earth system Models of Intermediate Complexity have been developed to investigate issues in past and future climate change that can not be addressed by comprehensive AOGCMs because of their large computational cost.
To explore the potential importance of carbon cycle feedbacks in the climate system, explicit treatment of the carbon cycle has been introduced in a few climate AOGCMs and
some Earth System Models of Intermediate Complexity (EMICs).
Claussen, M., et al., 2002:
Earth system models of intermediate complexity: closing the gap in the spectrum of climate system models.
Claussen, M., 2005: Table of EMICs (
Earth System Models of Intermediate Complexity).
Brovkin, V., et al., 2006: Biogeophysical effects of historical land cover changes simulated by six
Earth system models of intermediate complexity.
Crucifix, M., et al., 2002: Climate evolution during the Holocene: A study with
an Earth system model of intermediate complexity.
The potential of coastal ocean alkalinization (COA), a carbon dioxide removal (CDR) climate engineering strategy that chemically increases ocean carbon uptake and storage, is investigated with
an Earth system model of intermediate complexity.
The last panel shows the longer term redistribution including ocean dissolution of carbonaceous sediments as computed with
an Earth System Model of Intermediate Complexity.
We use the DCESS model, a relatively simple but well - tested and flexible
Earth system model of intermediate complexity (41, 52, 53).
«The assessment is supported additionally by a complementary analysis in which the parameters of
an Earth System Model of Intermediate Complexity (EMIC) were constrained using observations of near - surface temperature and ocean heat content, as well as prior information on the magnitudes of forcings, and which concluded that GHGs have caused 0.6 °C to 1.1 °C (5 to 95 % uncertainty) warming since the mid-20th century (Huber and Knutti, 2011); an analysis by Wigley and Santer (2013), who used an energy balance model and RF and climate sensitivity estimates from AR4, and they concluded that there was about a 93 % chance that GHGs caused a warming greater than observed over the 1950 — 2005 period; and earlier detection and attribution studies assessed in the AR4 (Hegerl et al., 2007b).»
I'd appreciate the RC's resident sea level rise consultant (s) thoughts on «Millennial total sea - level commitments projected with
the Earth system model of intermediate complexity `
Basic performance of a new
Earth system model of the Meteorological Research Institute (MRI - ESM1).
Not exact matches
The team's
model suggests that stems from a slower deceleration rate for
Earth's spin at the time, which affected the total amount
of rotational momentum in the
Earth - moon
system and thus how rapidly the moon's spin rate decelerates, among other things.
Murali Haran, a professor in the department
of statistics at Penn State University; Won Chang, an assistant professor in the department
of mathematical sciences at the University
of Cincinnati; Klaus Keller, a professor in the department
of geosciences and director
of sustainable climate risk management at Penn State University; Rob Nicholas, a research associate at
Earth and Environmental
Systems Institute at Penn State University; and David Pollard, a senior scientist at
Earth and Environmental
Systems Institute at Penn State University detail how parameters and initial values drive an ice sheet
model, whose output describes the behavior
of the ice sheet through time.
Researchers from Bern have developed a method to simplify the search for
Earth - like planets: By using new theoretical
models they rule out the possibility
of Earth - like conditions, and therefore life, on certain planets outside our solar
system — and limit their search by doing so.
Using an
earth system modeling approach, Deutsch and scientists at the National Center for Atmospheric Research and the Georgia Institute
of Technology mapped out changing oxygen levels across the world's oceans through the end
of the 21st century.
Three approaches were used to evaluate the outstanding «carbon budget» (the total amount
of CO2 emissions compatible with a given global average warming) for 1.5 °C: re-assessing the evidence provided by complex
Earth System Models, new experiments with an intermediate - complexity model, and evaluating the implications of current ranges of uncertainty in climate system properties using a simple
System Models, new experiments with an intermediate - complexity
model, and evaluating the implications
of current ranges
of uncertainty in climate
system properties using a simple
system properties using a simple
model.
The study used simulations from the Community
Earth System Model (CESM) run at the National Center for Atmospheric Research (NCAR) and examined warming scenarios ranging from 1.5 degrees Celsius all the way to 4 degrees Celsius (7.2 degrees Fahrenheit) by the end
of the century.
The researchers now want to continue developing a more advanced regional
earth system model to improve the regional environmental impact assessment, and apply this not only to the Amazon region but also to other parts
of the world.
According to Minchao Wu, regional
earth system models are an important tool for assessing the impact
of regional environmental changes.
«For the first time, space weather forecasters now have
models and tools for predicting how a CME is released from the sun, accelerated out into the solar wind, and ultimately ends up colliding with
Earth's magnetosphere creating the geomagnetic storms that impact so many technologies and
systems,» says Rodney Viereck
of the National Oceanic and Atmospheric Administration's (NOAA) Space Environment Center.
The recent slowdown in global warming has brought into question the reliability
of climate
model projections
of future temperature change and has led to a vigorous debate over whether this slowdown is the result
of naturally occurring, internal variability or forcing external to
Earth's climate
system.
Existing
Earth System Model simulations indicate that the ability
of tropical land ecosystems to store carbon will decline over the 21st century.
NASA researchers found that countries in the Northern Hemisphere had an average temperature increase
of 0.93 C, and latitudes around 60 degrees north or above had an average temperature increase
of 1.8 C, according to Gavin Schmidt, director
of GISS and principal investigator for the GISS
Model E
Earth System Model.
Canadell added that while the
models represent the best possible simulation
of Earth system components, they are continually being improved.
The standard
model for the formation
of the
Earth - moon
system is that a huge, Mars - size object hit
Earth and spun off material that coalesced in orbit to become the moon.
The study, «The effect
of horizontal resolution on simulation quality in the Community Atmospheric
Model, CAM5.1,» has been published online in the Journal
of Advances in
Modeling Earth Systems.
Morgan O'Neill, the paper's lead author and a former PhD student in MIT's Department
of Earth, Atmospheric and Planetary Sciences (EAPS), says the team's
model may eventually be used to gauge atmospheric conditions on planets outside the solar
system.
The slow impact velocity
of previous
models requires it to have originated from an orbit very near
Earth, while the new
model allows for an origin from more far - flung parts
of the solar
system, researchers report in an upcoming issue
of Icarus.
Likewise, while
models can not represent the climate
system perfectly (thus the uncertainly in how much the
Earth will warm for a given amount
of emissions), climate simulations are checked and re-checked against real - world observations and are an established tool in understanding the atmosphere.
To test his idea, Salzmann used a computer
model of the
Earth system to find out how the climate would react to a doubling
of the atmospheric carbon - dioxide concentration.
Global
Earth System Models (ESMs) all predict that global photosynthesis will increase with carbon dioxide, but they differ by a factor
of three in the size
of this «CO2 fertilization».
The new findings
of successful multi-year drought / fire predictions are based on a series
of computer
modeling experiments, using the state -
of - the - art
earth system model, the most detailed data on current ocean temperature and salinity conditions, and the climate responses to natural and human - linked radiative forcing.
Their
models showed that if you visited any star with a planet orbiting from the same distance as
Earth down to one tenth that, there is about a 38 percent chance (and likely less) that you would run into a planet and moon
system similar to Jupiter's four Galilean satellites (Io, Europa, Ganymede and Callisto), with similar ratios
of moon to planetary diameters and orbital to planetary radii.
Under the Decadal and Regional Climate Prediction Using
Earth System Models (EaSM) program, the National Science Foundation and the U.S. Departments
of Agriculture and Energy will kick in a total
of $ 50 million a year for 5 years.
Professor Park Je - Geun, Associate Director
of the Center for Correlated Electron
Systems (CCES), within the Institute for Basic Science (IBS), and colleagues have observed, quantified and created a new theoretical
model of the coupling
of two forms
of collective atomic excitation, known as magnons and phonons in crystals
of the antiferromagnet manganite (Y, Lu) MnO3, a mineral made
of manganese oxide and rare -
earth elements called yttrium (Y) and lutetium (Lu).
«One class
of crop
models is agronomy - based and the other is embedded in climate
models or
earth system models.
Most important, it relies on the first published results from the latest generation
of so - called
Earth System climate
models, complex programs that run on supercomputers and seek to simulate the planet's oceans, land, ice, and atmosphere.
In this research, the authors present extensive evidence
of the need for a new paradigm
of modeling that incorporates the feedbacks that the
Earth System has on humans, and propose a framework for future
modeling that would serve as a more realistic guide for policymaking and sustainable development.
Titled «
Modeling Sustainability: Population, Inequality, Consumption, and Bidirectional Coupling
of the
Earth and Human
Systems,» the paper describes how the rapid growth in resource use, land - use change, emissions, and pollution has made humanity the dominant driver of change in most of the Earth's natural systems, and how these changes, in turn, have critical feedback effects on humans with costly and serious consequences, including on human health and well - being, economic growth and development, and even human migration and societal co
Systems,» the paper describes how the rapid growth in resource use, land - use change, emissions, and pollution has made humanity the dominant driver
of change in most
of the
Earth's natural
systems, and how these changes, in turn, have critical feedback effects on humans with costly and serious consequences, including on human health and well - being, economic growth and development, and even human migration and societal co
systems, and how these changes, in turn, have critical feedback effects on humans with costly and serious consequences, including on human health and well - being, economic growth and development, and even human migration and societal conflict.
The biggest concern: that the Accelerated Climate
Modeling for Energy (ACME) project, meant to forecast local impacts
of climate change and to be used on DOE's future exascale supercomputers, would dilute resources from the Community
Earth System Model (CESM).
Computer
models have shown that the early solar
system was a tumultuous billiards table, with dozens or even hundreds
of planetary building blocks the size
of Earth bouncing around.