Search results for "Changement climatique"

showing 10 items of 68 documents

Time of emergence of Mediterranean summer maximum temperature.

2016

The time at which the signalof climate change emerges from the noise of natural climate variability is called “time of emergence”. This timeis analyzed here based on summertime mean maximum temperature in the Mediterranean basin for RCP8.5 andRCP4.5 scenarios. This time would be around 2040-50 (2060-70) in the eastern (western) basin. Differencesbetween the optimistic and pessimistic scenarios give a mean shift of around 15 years with the time ofemergence occurring earlier for RCP8.5 scenario.

Méditerranéechangement climatique[SDU.STU.CL] Sciences of the Universe [physics]/Earth Sciences/Climatologyclimate changeMediterranean basintime of emergencetempérature maximale estivale[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/Climatologysummertime maximum temperature
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Sea surges at Monaco and Nice: present-day and future variability (1998-2100).

2018

Sea surges arerapid increase of the level of the sea under atmospheric conditions that could lead to coastal submersion havingstrong impacts especially for coastal towns of the French Riviera such as Nice and the principality of Monaco.Interannual variability of the highest surges at Monaco is robustly simulates by a linear regression usingbarometric conditions over [3-10°E]-[40-45°N] as a predictor. According to 15 global circulation models,highest surges at Monaco could stay stationary for two different climate change scenarios (RCP4.5 andRCP8.5).

Surcotes marineschangement climatiqueclimate change[SDU.STU.CL] Sciences of the Universe [physics]/Earth Sciences/Climatologycoastal submersionCôte d’AzurSea surgesrisque de submersionFrench Riviera
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Climate variability and change : hydrological impacts

2006

TEMPERATURE DE SURFACE[SDE.MCG]Environmental Sciences/Global ChangesANALYSE EN COMPOSANTES PRINCIPALESVARIATION INTERANNUELLE[SDE.MCG] Environmental Sciences/Global Changes[ SDE.MCG ] Environmental Sciences/Global Changes[SDU.STU.CL] Sciences of the Universe [physics]/Earth Sciences/Climatology[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/ClimatologyPLUIECHANGEMENT CLIMATIQUEHYDROCLIMATCORRELATIONINTERACTION OCEAN ATMOSPHEREEL NINO[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/Climatology
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A Simple Fusion Method for Image Time Series Based on the Estimation of Image Temporal Validity

2015

High-spatial-resolution satellites usually have the constraint of a low temporal frequency, which leads to long periods without information in cloudy areas. Furthermore, low-spatial-resolution satellites have higher revisit cycles. Combining information from high- and low- spatial-resolution satellites is thought a key factor for studies that require dense time series of high-resolution images, e.g., crop monitoring. There are several fusion methods in the bibliography, but they are time-consuming and complicated to implement. Moreover, the local evaluation of the fused images is rarely analyzed. In this paper, we present a simple and fast fusion method based on a weighted average of two in…

TeledeteccióComputer scienceforêt tropicalehttp://aims.fao.org/aos/agrovoc/c_714remote sensingSimple (abstract algebra)K01 - Foresterie - Considérations généralesBiomassehttp://aims.fao.org/aos/agrovoc/c_6498validationUtilisation des terresEucalyptusFusionQhttp://aims.fao.org/aos/agrovoc/c_14093http://aims.fao.org/aos/agrovoc/c_9000094Plantation forestièreséquestration du carbonehttp://aims.fao.org/aos/agrovoc/c_926http://aims.fao.org/aos/agrovoc/c_1070http://aims.fao.org/aos/agrovoc/c_25409http://aims.fao.org/aos/agrovoc/c_4182P01 - Conservation de la nature et ressources foncièresSpectrométriePhénologiehttp://aims.fao.org/aos/agrovoc/c_2683TélédétectionScienceImage (mathematics)Cartographie de l'occupation du solhttp://aims.fao.org/aos/agrovoc/c_24904TermodinàmicaCouverture végétalehttp://aims.fao.org/aos/agrovoc/c_7283http://aims.fao.org/aos/agrovoc/c_1666http://aims.fao.org/aos/agrovoc/c_8176http://aims.fao.org/aos/agrovoc/c_3048MODIS; Landsat; validation; remote sensingRemote sensingChangement climatiqueSeries (mathematics)business.industryCiències de la terraPattern recognitionVégétationhttp://aims.fao.org/aos/agrovoc/c_331583Constraint (information theory)http://aims.fao.org/aos/agrovoc/c_5774SpectroradiometerMODISSatelliteGeneral Earth and Planetary SciencesArtificial intelligenceU30 - Méthodes de recherchebusinessLandsatRemote Sensing; Volume 7; Issue 1; Pages: 704-724
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Sensibilité de la réserve en eau des sols de Bourgogne pour une année climatique (2003) représentative du climat futur

2009

National audience; L'étude porte sur l'adaptation au changement climatique en Bourgogne. Elle vise à définir la sensibilité de la ressource en eau des territoires Bourguignons à ces évolutions climatiques et à en estimer les incidences par secteurs géographiques et d'activité. Ce projet pluri-disciplaire a été mis en place par Alterre Bourgogne dont la tache a été de fédérer un réseau d'acteurs régionaux aux compétences variées : climatologie, pédologie et hydrologie. La première étape, (Ubertosi et al, GFHN 2009), a consisté à estimer la capacité des sols à stocker de l'eau, c'est-à-dire à calculer la taille de leur réserve utile. Ces calculs ont été réalisés à partir du référentiel pédolo…

[ SDE.MCG ] Environmental Sciences/Global Changes[SDE.MCG] Environmental Sciences/Global Changeschangement climatique[SDU.STU.CL] Sciences of the Universe [physics]/Earth Sciences/ClimatologyBilan hydrique[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology[SDE.MCG]Environmental Sciences/Global Changesréserve utile[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/Climatologymodélisation
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Analyse spatiale de l’évolution du risque de gel sur la vigne en Bourgogne-Franche-Comté

2019

The warming undergone by the global climate does not necessarily entail a decrease in frost risk in agriculture/viticulture. Since both plant and climate are likely to evolve under changing environmental conditions, plant vulnerability and the meteorological phenomenon (frost) should be considered jointly when assessing the evolution of frost risk. This study aims at documenting the spatial and temporal frost risk changes in the winegrowing subregions of Bourgogne-Franche-Comté. The period between budburst and the last spring frost occurrence date has been considered as the most vulnerable for grapevines. We considered a plant as being stressed by a frost event when the temperature drops be…

[SDE] Environmental Sciences[SDV.SA.AGRO] Life Sciences [q-bio]/Agricultural sciences/Agronomychangement climatiqueplant vulnerabilityvulnérabilité de la plante[SDV]Life Sciences [q-bio]frost riskrisque de gel[SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/Agronomyviticulture[SDV] Life Sciences [q-bio][SDU.STU.CL] Sciences of the Universe [physics]/Earth Sciences/Climatologyclimate change[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology[SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biology
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Impact du changement climatique sur l’évolution de la ressource en eau en Bourgogne, France (1980-2100) - Analyse des paramètres hydroclimatiques sim…

2014

Impact of climate change on water resource evolution in Burgundy, France (1980-2011) – Analysis of hydro-climatic parameters simulated at high resolution by a regional climate model (WRF) The regional climatic model ARW / WRF is used to make a dynamic downscaling of climate (driven by ERA-Interim) at a high spatial resolution (3 km2) over Burgundy, at daily time scale over the period 1980-2011. Climatic simulations were analyzed and compared with meteorological data, in order to validate them with the aim of their use by hydro(geo)logic models. The hydro-climatic parameters necessary as climatic inputs of these models, in particular precipitation and evapotranspiration, reproduce correctly …

[SDE] Environmental Scienceschangement climatique[SDV]Life Sciences [q-bio]bourgogne[SDV] Life Sciences [q-bio]modélisation climatique régionaleregional climate modellingclimate changehydrologic modellingressource en eau[SDE]Environmental Scienceswater resource[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biologymodélisation hydrologiqueBurgundy
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Évolution du bilan hydrique à l'échelle de bassins versants en contexte de changement climatique – mise place d’une méthodologie

2014

Assessment of hydric balance at the catchment scale, under climate change scenario Face to climate change, public policies must implement adaptation strategies. This implies that the effects of climate change are plainly identified on territories. However, in the current state, data and knowledge at the local level are limited or not available to decision makers. This work proposes to well characterize the local impacts of climate change and to develop synergies between researchers and territorial actors to prepare the public decision.

[SDE] Environmental Scienceschangement climatiqueavailable water content[SDV]Life Sciences [q-bio]drainage dividemodelingbourgognebassin versant[SDV] Life Sciences [q-bio]water balanceclimate change[SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biologybilan hydriqueréserve utile en eauBurgundymodélisation
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Changement climatique : impacts sur la phénologie du Pinot Noir en Bourgogne.

2010

6 pages; International audience; Cette étude traite de l’impact du changement climatique sur les potentialités climatiques viticoles du Pinot Noir enBourgogne. L’analyse stationnelle révèle que le réchauffement récent observé en Bourgogne induit une précocité des stadesphénologiques de 10 à 25 jours. Un modèle phénologique est utilisé pour modéliser la relation entre la température et lavigne et affiche une plus grande performance (R²>0.9) sur la prédiction de la date de floraison et des résultats pluscontrastés pour les dates de véraison et de maturité (respectivement R²~0.78 et R²~0.80). Il est ensuite appliqué auxtempératures simulées par le modèle ARW/WRF à 8km de résolution, dans le bu…

[SDV.SA.AGRO] Life Sciences [q-bio]/Agricultural sciences/Agronomy[SDU.STU.CL] Sciences of the Universe [physics]/Earth Sciences/ClimatologyChangement Climatique[ SDV.SA.AGRO ] Life Sciences [q-bio]/Agricultural sciences/Agronomy[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology[SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/AgronomyRégionalisationBourgogne[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/ClimatologyModèles Phénologiques
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Très longs épisodes secs hivernaux dans le bassin méditerranéen : variabilité spatio-temporelle et impact sur la production céréalière en Espagne.

2018

This study concerns the long winter sequences without rain at the whole Mediterraneanbasin scale. Objectives are (i) to define theses extreme events as geographical and climatological objectscharacterized by a location, a spatial extension and a temporal length and (ii) measured impacts of these eventson the cereal production in Spain. 76 events of very long dry spells (eVLDS) are detected over the 1957-2013period. These eVLDS are grouped into 4 typical recurrent configurations at the Mediterranean basin scale: North-East, West, Scattered & Localised and South-East. The eVLDS have a greater impact on barley, wheat and oatyields (winter crops grown through rainfed agriculture) than rainfall …

[SDV.SA.AGRO] Life Sciences [q-bio]/Agricultural sciences/Agronomyimpacts sur les agrosystèmeschangement climatiquesécheresses hivernalesconditions atmosphériquesMediterranean basin[SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/Agronomybassin méditerranéenagrosystem impactsatmospheric conditions[SDU.STU.CL] Sciences of the Universe [physics]/Earth Sciences/Climatologyclimate changewinter droughts[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology
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