A methodology for probabilistic predictions of regional climate change from perturbed physics ensembles.
about
Uncertainty in weather and climate predictionDifferences in spawning date between populations of common frog reveal local adaptationModelling the increased frequency of extreme sea levels in the Ganges-Brahmaputra-Meghna delta due to sea level rise and other effects of climate change.Weighting climate model projections using observational constraintsTowards quantifying uncertainty in predictions of Amazon 'dieback'.Challenges in using probabilistic climate change information for impact assessments: an example from the water sector.Uncertainties associated with quantifying climate change impacts on human health: a case study for diarrheaDeveloping higher resolution climate change scenarios for agricultural risk assessment: progress, challenges and prospects.Robust extremes in chaotic deterministic systems.“Agro-meteorological indices and climate model uncertainty over the UK”Climate change projections for Switzerland based on a Bayesian multi-model approachOn the interpretation of constrained climate model ensembles21st Century Drought Scenarios for the UKUsing Large Climate Ensembles to Plan for the Hydrological Impact of Climate Change in the Freshwater EnvironmentFrom climate model ensembles to climate change impacts and adaptation: A case study of water resource management in the southwest of EnglandTrading-off tolerable risk with climate change adaptation costs in water supply systemsRisk-based water resources planning: Incorporating probabilistic nonstationary climate uncertaintiesTowards risk-based water resources planning in England and Wales under a changing climateUsing probabilistic climate change information from a multimodel ensemble for water resources assessmentThe benefits of quantifying climate model uncertainty in climate change impacts assessment: an example with heat-related mortality change estimatesClimate-induced changes in river flow regimes will alter future bird distributionsOptimal tuning of a GCM using modern and glacial constraintsImprovement of Hydroclimatic Projections over Southeast Spain by Applying a Novel RCM Ensemble ApproachAssessing the Impact of Climate Change and Extreme Value Uncertainty to Extreme Flows across Great BritainProcess-based assessment of an ensemble of climate projections for West AfricaProjected changes in tropical cyclones over Vietnam and the South China Sea using a 25 km regional climate model perturbed physics ensembleDimensionally reduced emulation of an AOGCM for application to integrated assessment modellingDevelopment of indicators of ecosystem functioning in a temperate shelf sea: a combined fieldwork and modelling approachA framework for testing the ability of models to project climate change and its impactsClimate change and water in the UK – past changes and future prospectsClimate model errors, feedbacks and forcings: a comparison of perturbed physics and multi-model ensemblesDownscaling of South America present climate driven by 4-member HadCM3 runsDevelopment of regional future climate change scenarios in South America using the Eta CPTEC/HadCM3 climate change projections: climatology and regional analyses for the Amazon, São Francisco and the Paraná River basinsReliability of multi-model and structurally different single-model ensemblesInteractions between perturbations to different Earth system components simulated by a fully-coupled climate modelProbabilistic projections of transient climate changeReliability and importance of structural diversity of climate model ensemblesTransient climate changes in a perturbed parameter ensemble of emissions-driven earth system model simulationsSensitivity of a coupled climate model to canopy interception capacityFire risk in Amazonia due to climate change in the HadCM3 climate model: Potential interactions with deforestation
P2860
Q28251966-04ABB35A-C7FD-4D77-A22A-3CA03917E9D1Q28751330-88CD31CA-EB9A-43EF-BD0C-50DE356B8848Q30974383-DB0EADF7-62EC-4D35-93AF-CEBFD98C02E2Q31001623-3819332E-F8B7-4A96-9D25-4CCA0C38E1BAQ31146371-8EC490FB-4265-4734-AF56-7AC351A79071Q33287720-F2700604-2F98-4D3E-99D8-F0F934C65AAAQ33712545-DF4E36B8-ADC2-494F-8E30-2A937457C321Q34016745-F5FEF40A-FC73-44B9-87F2-9FA8A7467E5FQ39911450-97892B3C-A72B-4002-AE29-4318477F9FB4Q56094161-F74B8958-172B-48D2-A1F9-EA5E50201295Q57175981-49EC3B1D-E769-4BA9-842D-A8B460183ABDQ57175997-8E38A542-FD81-476D-B630-BFE32A72FEA5Q57193676-E891F3C6-F295-499D-9EB0-3A01108358BDQ57193686-37DBA36A-E040-4115-B7D0-D74D1ECDB4CDQ57193716-AC70D047-9118-4B4D-BA73-C827AB3ED23CQ57195627-CB6196A4-8130-4D31-9B42-CFF26D967221Q57195681-2A61A2F8-BAC7-4645-808F-28825C8B6EAFQ57195709-93FB35A4-3688-4896-B688-0FED2E52C32FQ57195743-C2D7B8F5-679F-48C0-B0F0-413C490D3DB5Q57197147-92A78775-D64D-482B-865D-769470E290BCQ57247846-477D8133-D40B-4A8F-B817-9F1B7E477056Q57261470-C5D99803-2B23-4EE9-9EFA-8F6804ADC26CQ57520265-A897B326-DF16-4157-BAEF-7DAF8D4EB740Q57528922-4AB75E4A-74FA-4175-AFA7-D647F4253D2FQ57636912-083C8697-EB5B-4BCB-9BD2-A03C513EF3A6Q57636914-A53E8764-7E3D-4009-9269-DD9B83E14750Q57665341-562E5B06-0BF0-4DF8-9FAC-F2A0F3C6EEC4Q57709183-9A5237FB-3041-4898-861F-939D83A33F5AQ57744322-021C2AE8-9545-487E-A4D8-DDD9ABC5425DQ57836523-67696901-AF97-43CA-AEC6-F2DC7A906723Q57921219-57457460-E659-46B7-BFFE-287DE747184BQ57921225-14615883-4CF1-4862-97D2-FD7AE10E1FBEQ57921236-DE4B8C76-F5E5-43A8-9D46-CBCB51EF2BAFQ57921238-0060EF94-5246-4401-8C2E-0A208106D854Q57921263-9A92EA0F-4D66-4731-87B3-6A141C3D59E2Q57921267-77C7D0D4-5E21-4037-BC06-8E041314E2F6Q57921276-00D66F0F-1CC6-4076-8DFD-84042CE4430CQ57921290-592BB015-C563-43BB-8EFC-AC7FA316402EQ57921292-412DA186-724C-40D1-9444-949FDE31EAE3Q57949746-F5A87581-1039-402B-8287-6A7651D95CFD
P2860
A methodology for probabilistic predictions of regional climate change from perturbed physics ensembles.
description
2007 nî lūn-bûn
@nan
2007 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
name
A methodology for probabilisti ...... m perturbed physics ensembles.
@ast
A methodology for probabilisti ...... m perturbed physics ensembles.
@en
type
label
A methodology for probabilisti ...... m perturbed physics ensembles.
@ast
A methodology for probabilisti ...... m perturbed physics ensembles.
@en
prefLabel
A methodology for probabilisti ...... m perturbed physics ensembles.
@ast
A methodology for probabilisti ...... m perturbed physics ensembles.
@en
P2093
P2860
P356
P1476
A methodology for probabilisti ...... om perturbed physics ensembles
@en
P2093
B B B Booth
D M H Sexton
G R Harris
J M Murphy
P2860
P304
P356
10.1098/RSTA.2007.2077
P407
P50
P577
2007-08-01T00:00:00Z