Search results for "Hindcast"

showing 7 items of 7 documents

Use of Lagrangian simulations to hindcast the geographical position of propagule release zones in a Mediterranean coastal fish

2018

International audience; The study of organism dispersal is fundamental for elucidating patterns of connectivity between populations, thus crucial for the design of effective protection and management strategies. This is especially challenging in the case of coastal fish, for which information on egg release zones (i.e. spawning grounds) is often lacking. Here we assessed the putative location of egg release zones of the saddled sea bream (Oblada melanura) along the southeastern coast of Spain in 2013. To this aim, we hindcasted propagule (egg and larva) dispersal using Lagrangian simulations, fed with species-specific information on early life history traits (ELTs), with two approaches: 1) …

0106 biological sciencesMediterranean climateLagrangian simulation010504 meteorology & atmospheric sciences[SDE.MCG]Environmental Sciences/Global ChangesCoastal fishSea breamAquatic ScienceOceanography01 natural sciences[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/EcosystemsMediterranean seaPropagulePropagule release zonesMediterranean SeamedicineAnimalsHindcastDispersal distance14. Life underwaterPropagule release zone0105 earth and related environmental sciencesOtolithLarvaGeographyAnimal010604 marine biology & hydrobiologyFishesGeneral MedicineModels TheoreticalLagrangian simulationsPollutionmedicine.anatomical_structureGeographyOceanographySpainLarvaBiological dispersal[SDE.BE]Environmental Sciences/Biodiversity and EcologyAnimal DistributionFisheMarine Environmental Research
researchProduct

Performance of DEMETER calibration for rainfall forecasting purposes: Application to the July–August Sahelian rainfall

2008

International audience; This work assesses and compares the skill of direct and model-output-statistics (MOS) calibrated hindcasts of the July–August rainfall amounts for the dry period 1980–2000 over the Sahel issued from the Development of a European Multimodel Ensemble System for Seasonal to Interannual Prediction (DEMETER) experiment, with the aim to highlight among the simulated parameters, i.e., those potentially relevant for rainfall forecasts purposes. Three approaches were used: the DEMETER (1) direct rainfall, (2) MOS-calibrated rainfall, and (3) MOS-calibrated atmospheric dynamics and energy. Canonical correlation analyses (CCA) were employed in the two latter approaches to calib…

Atmospheric ScienceSoil ScienceForecast skillAquatic ScienceOceanographyMonsoonMediterranean seaGeochemistry and PetrologyEarth and Planetary Sciences (miscellaneous)Moist static energyHindcastEarth-Surface ProcessesWater Science and Technologycanonical correlation analysisEcologyMode (statistics)PaleontologyForestryAfrican easterly jet[ SDE.MCG ] Environmental Sciences/Global ChangesGeophysicsmodel output statistics approachSpace and Planetary ScienceClimatologyEnvironmental science[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/Climatologyseasonal rainfall forecasts in West Africacanonical correlation analysis.Teleconnection
researchProduct

The 1-way on-line coupled atmospheric chemistry model system MECO(n) – Part 3: Meteorological evaluation of the on-line coupled system

2012

Abstract. Three detailed meteorological case studies are conducted with the global and regional atmospheric chemistry model system ECHAM5/MESSy(→COSMO/MESSy)n, shortly named MECO(n), in order to assess the general performance of the on-line coupling of the regional model COSMO to the global model ECHAM5. The cases are characterised by intense weather systems in Central Europe: an intense cold frontal passage in March 2010, a convective frontal event in July 2007, and the high impact winter storm "Kyrill" in January 2007. Simulations are performed with the new on-line-coupled model system and compared to classical, off-line COSMO hindcast simulations driven by ECMWF analyses. Precipitation o…

Convectionmodel evaluationnestingMeteorology010504 meteorology & atmospheric sciencesatmospheric model0207 environmental engineering0211 other engineering and technologies02 engineering and technologyprecipitation01 natural sciencesMESSyHindcastPrecipitationmeteorology020701 environmental engineeringLine (formation)0105 earth and related environmental sciences021110 strategic defence & security studiesglobal modelregional modelCOSMOlcsh:QE1-996.5Stormlcsh:GeologyCold front13. Climate actionAtmospheric chemistryClimatologyEnvironmental sciencemodel couplingDynamik der AtmosphäreLead time
researchProduct

Earth System Chemistry integrated Modelling (ESCiMo) with the Modular Earth Submodel System (MESSy) version 2.51

2016

Abstract. Three types of reference simulations, as recommended by the Chemistry–Climate Model Initiative (CCMI), have been performed with version 2.51 of the European Centre for Medium-Range Weather Forecasts – Hamburg (ECHAM)/Modular Earth Submodel System (MESSy) Atmospheric Chemistry (EMAC) model: hindcast simulations (1950–2011), hindcast simulations with specified dynamics (1979–2013), i.e. nudged towards ERA-Interim reanalysis data, and combined hindcast and projection simulations (1950–2100). The manuscript summarizes the updates of the model system and details the different model set-ups used, including the on-line calculated diagnostics. Simulations have been performed with two diff…

ECHAM550010504 meteorology & atmospheric sciencesMeteorologyEarth System ModellingModel system010501 environmental sciences010502 geochemistry & geophysics01 natural sciencesMESSyErdsystem-ModellierungHindcastChemistry-Climate Model IntiativeProjection (set theory)0105 earth and related environmental sciencesTropospheric aerosolEMACbusiness.industrylcsh:QE1-996.5DATA processing & computer scienceModular designlcsh:GeologyEarth system science13. Climate actionClimatologyAtmospheric chemistryAtmospheric Chemistryddc:004business
researchProduct

Wave Energy Assessment around the Aegadian Islands (Sicily)

2019

This paper presents the estimation of the wave energy potential around the Aegadian islands (Italy), carried out on the basis of high resolution wave hindcast. This reanalysis was developed employing Weather Research and Forecast (WRF) and WAVEWATCH III ® models for the modelling of the atmosphere and the waves, respectively. Wave climate has been determined using the above-mentioned 32-year dataset covering the years from 1979 to 2010. To improve the information about wave characteristics regarding spatial details, i.e., increasing wave model resolution, especially in the nearshore region around the islands, a SWAN (Simulating WAves Nearshore) wave propagation model was used. Results obtai…

Flexible mesh model; Renewable energy; Resource assessment; SWAN; Wave energy; WaveWatch III; Renewable Energy Sustainability and the Environment; Energy Engineering and Power Technology; Energy (miscellaneous); Control and Optimization; Electrical and Electronic EngineeringRenewable energyControl and OptimizationWave propagation020209 energyWave energyEnergy fluxEnergy Engineering and Power Technology02 engineering and technology010501 environmental sciencesAtmospheric sciences01 natural scienceslcsh:TechnologyResource assessmentWaveWatch IIIWave modelHotspot (geology)0202 electrical engineering electronic engineering information engineeringHindcastElectrical and Electronic EngineeringEngineering (miscellaneous)Physics::Atmospheric and Oceanic Physics0105 earth and related environmental sciencesFlexible mesh modelSWANSustainability and the EnvironmentRenewable Energy Sustainability and the Environmentbusiness.industrylcsh:TEnergy assessmentRenewable energyWeather Research and Forecasting Modelwave energy; resource assessment; WaveWatch III; SWAN; flexible mesh model; renewable energybusinessGeologyEnergy (miscellaneous)Energies; Volume 12; Issue 3; Pages: 333
researchProduct

Forecasting the vegetation photosynthetic activity over the Sahel: a Model Output Statistics approach

2009

The predictability of the mean August–September photosynthetic activity of vegetation over the Sahel for the period 1982–2002 is explored through a Model Output Statistics approach using ECHAM4.5 retrospective forecasts. Given the poor ability of Atmospheric General Circulation Models (AGCMs) to correctly simulate rainfall over the Sahel, the stress is put on using atmospheric dynamics alone. The mean July–September predicted fields of zonal wind at 600 hPa, and humidity flux at 850 hPa, are selected because of their key role in the West African Monsoon system and their consistency in AGCMs. Coupled modes of NDVI/atmospheric dynamics are extracted using Canonical Correlation Analyses perfor…

Model output statisticsAtmospheric ScienceSea surface temperatureClimatologyEnvironmental scienceHindcastAtmospheric modelPredictabilityMonsoonAfrican easterly jetNormalized Difference Vegetation IndexInternational Journal of Climatology
researchProduct

An improvement of June-September rainfall forecasting in the Sahel based upon region April-May moist static energy content (1968-1997)

1999

This study provides statistical evidence that June–September Sahelian rainfall hindcasts currently based on oceanic thermal predictors apprehend more the negative trend than the interannual rainfall variations. Four physically meaningful predictors of June–September Sahel rainfall are first selected through the near-surface April–May information and several experimental hindcasts provided. We then discuss the skills achieved using regression techniques and cross-validated discriminant functions. In that context, 8/11 of the driest seasons and 8/10 of the wettest are correctly predicted. Finally using completely independent training and working periods we show that better and significant hin…

Sea surface temperatureGeophysicsClimatologyTraining (meteorology)Moist static energyGeneral Earth and Planetary SciencesHindcastForecast skillEnvironmental scienceContext (language use)Regression analysisStatistical evidenceGeophysical Research Letters
researchProduct