Climateprediction.net

BBC Climate Change ExperimentClimate PredictionClimatepredictionClimatePrediction project
Climateprediction.net (CPDN) is a distributed computing project to investigate and reduce uncertainties in climate modelling.wikipedia
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Climate ensemble

ensemble
It aims to do this by running hundreds of thousands of different models (a large climate ensemble) using the donated idle time of ordinary personal computers, thereby leading to a better understanding of how models are affected by small changes in the many parameters known to influence the global climate. Myles Allen first thought about the need for large Climate ensembles in 1997, but was only introduced to the success of SETI@home in 1999.
Perturbed physics ensembles (PPEs) form the main scientific focus of the ClimatePrediction project.

Seasonal Attribution Project

In March 2006, a high resolution model was released as another project, the Seasonal Attribution Project.
The Seasonal Attribution Project is a Climateprediction.net sub-project, with support from the WWF.

Myles Allen

Myles Allen first thought about the need for large Climate ensembles in 1997, but was only introduced to the success of SETI@home in 1999.
He is the Principal Investigator of the distributed computing project Climateprediction.net (which makes use of computing resources provided voluntarily by the general public), and was principally responsible for starting this project.

HadCM3

HadAM3HadSM3
The original experiment is run with HadSM3, which is the HadAM3 atmosphere from the HadCM3 model but with only a "slab" ocean rather than a full dynamic ocean.
This is the model behind PRECIS (Providing Regional Climates for Impacts Studies) as well as being the atmosphere component of the distributed computing project Climateprediction.net.

Climate model

climate modelsclimate modellingclimate modeling
The possibility of such high sensitivities being plausible given observations had been reported prior to the Climateprediction.net experiment but "this is the first time GCMs have produced such behaviour".

Distributed computing

distributeddistributed systemsdistributed system
Climateprediction.net (CPDN) is a distributed computing project to investigate and reduce uncertainties in climate modelling.

General circulation model

global climate modelglobal climate modelsclimate model
Climateprediction.net (CPDN) is a distributed computing project to investigate and reduce uncertainties in climate modelling.

Personal computer

PCPCspersonal computers
It aims to do this by running hundreds of thousands of different models (a large climate ensemble) using the donated idle time of ordinary personal computers, thereby leading to a better understanding of how models are affected by small changes in the many parameters known to influence the global climate.

Parametrization (atmospheric modeling)

Parametrization (climate)parameterizationsparametrization
It aims to do this by running hundreds of thousands of different models (a large climate ensemble) using the donated idle time of ordinary personal computers, thereby leading to a better understanding of how models are affected by small changes in the many parameters known to influence the global climate.

Volunteer computing

volunteervolunteer-basedPublic Resource Computing
The project relies on the volunteer computing model using the BOINC framework where voluntary participants agree to run some processes of the project at the client-side in their personal computers after receiving tasks from the server-side for treatment.

Berkeley Open Infrastructure for Network Computing

BOINCBerkeley Open Infrastructure for Network Computing (BOINC)BOINC Account Manager
The project relies on the volunteer computing model using the BOINC framework where voluntary participants agree to run some processes of the project at the client-side in their personal computers after receiving tasks from the server-side for treatment.

Client-side

client sideclientclient-
The project relies on the volunteer computing model using the BOINC framework where voluntary participants agree to run some processes of the project at the client-side in their personal computers after receiving tasks from the server-side for treatment.

Server-side

server sideserverside
The project relies on the volunteer computing model using the BOINC framework where voluntary participants agree to run some processes of the project at the client-side in their personal computers after receiving tasks from the server-side for treatment.

University of Oxford

Oxford UniversityOxfordUniversity
CPDN, which is run primarily by Oxford University in England, has harnessed more computing power and generated more data than any other climate modelling project.

England

🏴󠁧󠁢󠁥󠁮󠁧󠁿󠁧󠁢󠁥󠁮󠁧󠁿EnglishENG
CPDN, which is run primarily by Oxford University in England, has harnessed more computing power and generated more data than any other climate modelling project.

BOINC Credit System

BOINC creditBOINC creditscredit
, there are more than 12,000 active participants from 223 countries with a total BOINC credit of more than 27 billion, reporting about 55 teraflops (55 trillion operations per second) of processing power.

FLOPS

GFLOPSpetaflopsteraflops
, there are more than 12,000 active participants from 223 countries with a total BOINC credit of more than 27 billion, reporting about 55 teraflops (55 trillion operations per second) of processing power.

Carbon dioxide

CO 2 CO2carbon dioxide (CO 2 )
This will allow the project to improve understanding of how sensitive the models are to small changes and also to things like changes in carbon dioxide and sulphur cycle.

Sulfur cycle

sulfursulphur cyclebacterial reduction of sulfate
This will allow the project to improve understanding of how sensitive the models are to small changes and also to things like changes in carbon dioxide and sulphur cycle.

Intergovernmental Panel on Climate Change

IPCCIntergovernmental Panel on Climate Change (IPCC)International Panel on Climate Change
The Climateprediction.net experiment should help to "improve methods to quantify uncertainties of climate projections and scenarios, including long-term ensemble simulations using complex models", identified by the Intergovernmental Panel on Climate Change (IPCC) in 2001 as a high priority.

Climate change scenario

scenariosscenarioclimate scenarios
Roughly half of the variation depends on the future climate forcing scenario rather than uncertainties in the model.

Backtesting

hindcastbacktestbacktested
Some models will be good and some poor at producing past climate when given past climate forcings and initial conditions (a hindcast).

Thermohaline circulation

meridional overturning circulationconveyor beltthermohaline
A thermohaline circulation slowdown experiment was launched in May 2004 under the classic framework to coincide with the film The Day After Tomorrow.