Search results for "climatology"

showing 10 items of 1164 documents

Impacts du réchauffement climatique sur les vignobles : approche synthétique.

2019

16 pages; National audience

[SDV.SA.AGRO] Life Sciences [q-bio]/Agricultural sciences/Agronomy[SDU.STU.CL] Sciences of the Universe [physics]/Earth Sciences/Climatology[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology[SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/AgronomyComputingMilieux_MISCELLANEOUS
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How abrupt change in surface temperature impacts water balance over France? A case-study of bread wheat cultivated areas.

2022

Agricultural risk management is a major challenge for decision makers, public authorities and agricultural insurance companies, as crop losses linked to climate hazard are expected to increase in the context of climate change (Boucher et al., 2019). The present work is part of a PhD in partnership between Groupama insurance company (Domaine Assurance Récolte) and Biogeosciences laboratory (University of Burgundy). This collaborative research aims at depicting how, with the abrupt surface temperature warming, climate hazard evolution has affected water balance over France, and related agro-climatic risks.Since 1980s over western Europe, the warming trend intensifies strongly, consistent with…

[SDV.SA.AGRO] Life Sciences [q-bio]/Agricultural sciences/Agronomy[SDV.EE] Life Sciences [q-bio]/Ecology environmentwater balance[SDU.STU.CL] Sciences of the Universe [physics]/Earth Sciences/Climatologywarminghazardshiftclimate
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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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Sensibilité des rendements agricoles potentiels aux paramètres climatiques et environnementaux dans la région du mont Kenya en Afrique de l’Est.

2013

7 pages; International audience; Comprendre les interactions existantes entre le climat et les rendements céréaliers est un objectif important pour l'actuelleproduction agricole et la sécurité alimentaire future des populations résidant dans des régions à agriculture pluviale. Lesrendements potentiels de sorgho simulés par le modèle SARRAH montrent une sensibilité aux paramètres climatiques etenvironnementaux le long des pentes orientales du Mont Kenya. Si le cumul et la durée de saison expliquent une part importante dela variabilité des rendements, d’autres variables comme l’intensité quotidienne, les Tmax ou encore le rayonnement global jouentun rôle non négligeable. La date de semis modu…

[SDV.SA.AGRO] Life Sciences [q-bio]/Agricultural sciences/Agronomymodèle SARRAH[SDU.STU.CL] Sciences of the Universe [physics]/Earth Sciences/Climatology[ SDV.SA.AGRO ] Life Sciences [q-bio]/Agricultural sciences/AgronomyMont Kenyavariables cl imatiquesrendement sorgho[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/Climatologyanalyse sensibilité
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Phenological model performance to warmer conditions: application to Pinot noir in Burgundy.

2014

<p style="text-align: justify;"><strong>Aim</strong>: The current work aims to assess the performance of two phenological models - a linear model (<em>Grapevine Flowering</em> <em>Véraison</em> model, <em>GFV</em>) and a curvilinear model (<em>Wang and</em> <em>Engel</em> model, <em>WE</em>) - to warmer temperature conditions for the grapevine variety Pinot noir in Burgundy.</p><p style="text-align: justify;"><strong>Methods and results</strong>: Simulations using historical data from the 1973-2005 period were similar between models and consistent with observations. To mimic pot…

[SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/AgronomyPinot noirClimate changeHorticultureAtmospheric sciencesVeraisonLatitudelcsh:Agriculture[ SDV.SA.AGRO ] Life Sciences [q-bio]/Agricultural sciences/Agronomylcsh:Botanyphenological modelBotanyTemperate climateInhibitory effectMathematicsPhenologylcsh:SLinear modellcsh:QK1-989Plant developmentclimate change13. Climate action[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/ClimatologyVitis vinifera[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/ClimatologyBurgundyFood Science
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Cropping system dynamics, climate variability, and seed losses among East African smallholder farmers: a retrospective survey.

2014

Abstract Climate variability directly affects traditional low input and rain-fed farming systems, but few studies have paid attention retrospectively to the cropping system’s ability to mitigate climate risk. This study analyzes the impacts of rainfall variability on farmers’ seed variety losses over time, considering changes in smallholder farming systems. The cropping system dynamics, in favoring maize at the expense of sorghum and pearl millet, have induced an increasing risk of seed loss during drought. Combining ecological anthropology and climatology, a retrospective survey asking farmers about the period 1961–2006 was carried out at three altitudinal levels (750, 950, and 1100 m) on …

[SDV.SA]Life Sciences [q-bio]/Agricultural sciencesAtmospheric Sciencehttp://aims.fao.org/aos/agrovoc/c_1969F08 - Systèmes et modes de cultureFacteur climatiqueF30 - Génétique et amélioration des plantesCropping systemPennisetum glaucumhttp://aims.fao.org/aos/agrovoc/c_8157[ SDV.SA ] Life Sciences [q-bio]/Agricultural sciencesComputingMilieux_MISCELLANEOUS2. Zero hungerGlobal and Planetary ChangebiologyEcologyAgroforestryAgriculturehttp://aims.fao.org/aos/agrovoc/c_6927Sorghum bicolor[ SDE.MCG ] Environmental Sciences/Global ChangesGeographyhttp://aims.fao.org/aos/agrovoc/c_6523http://aims.fao.org/aos/agrovoc/c_8504http://aims.fao.org/aos/agrovoc/c_13199[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatologyhttp://aims.fao.org/aos/agrovoc/c_6161[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/ClimatologyP40 - Météorologie et climatologiehttp://aims.fao.org/aos/agrovoc/c_29554[SDE.MCG]Environmental Sciences/Global ChangesZea maysSocietal impactsPetite exploitation agricoleSécheressehttp://aims.fao.org/aos/agrovoc/c_7247Retrospective surveyConservation des ressourceshttp://aims.fao.org/aos/agrovoc/c_2391F03 - Production et traitement des semenceshttp://aims.fao.org/aos/agrovoc/c_1666PrecipitationVariétéClimate variabilitySemencePerte de récolteChangement climatiquePrécipitationbusiness.industryClimate riskLow inputSorghumbiology.organism_classification[SDE.ES]Environmental Sciences/Environmental and SocietyIncreasing riskhttp://aims.fao.org/aos/agrovoc/c_408613. Climate actionAgricultureAfricaSystème de culturehttp://aims.fao.org/aos/agrovoc/c_1971businessSocial Sciences (miscellaneous)http://aims.fao.org/aos/agrovoc/c_7113
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The Mistigri Thermal Infrared Project: Scientific Objectives And Mission Specifications

2013

ISI Document Delivery No.: 147NI Times Cited: 4 Cited Reference Count: 117 Cited References: Abrams M, 2000, INT J REMOTE SENS, V21, P847, DOI 10.1080/014311600210326 Agam N, 2007, J GEOPHYS RES-ATMOS, V112, DOI 10.1029/2007JD008407 Allen RG, 2007, J IRRIG DRAIN E-ASCE, V133, P380, DOI 10.1061/(ASCE)0733-9437(2007)133:4(380) Alletto L, 2006, CHEMOSPHERE, V64, P1053, DOI 10.1016/j.chemosphere.2005.12.004 Arnfield AJ, 2003, INT J CLIMATOL, V23, P1, DOI 10.1002/joc.859 Baschek B., 2010, 2010 OC SCI M PORTL Bastiaanssen WGM, 1998, J HYDROL, V212, P198, DOI 10.1016/S0022-1694(98)00253-4 Bastiaanssen WGM, 2005, J IRRIG DRAIN E-ASCE, V131, P85, DOI 10.1061/(ASCE)0733-9437(2005)131:1(85) Beck LR, 2…

[SDV.SA]Life Sciences [q-bio]/Agricultural sciencesEngineeringDATA010504 meteorology & atmospheric sciencesLand surface temperature[SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph]media_common.quotation_subject[SDE.MCG]Environmental Sciences/Global Changes0211 other engineering and technologies[SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/AgronomyClimate change02 engineering and technologyURBAN01 natural sciencesLAND-SURFACE TEMPERATUREOriginalityAgency (sociology)CALIFORNIA CURRENT SYSTEMUrban heat islandArchitecture[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingmedia_common[SDV.EE]Life Sciences [q-bio]/Ecology environmentThermal infraredbusiness.industry[SDE.IE]Environmental Sciences/Environmental EngineeringSPECTRAL INDEXESREMOTE-SENSINGREFLECTION RADIOMETER ASTEREMISSIVITY SEPARATION ALGORITHM[SPI.ELEC]Engineering Sciences [physics]/ElectromagnetismAGRICULTURAL AREASystems engineering[SPI.OPTI]Engineering Sciences [physics]/Optics / PhotonicGeneral Earth and Planetary SciencesENERGY-BALANCE[SDV.EE.BIO]Life Sciences [q-bio]/Ecology environment/Bioclimatologybusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingSATELLITE IMAGESHEAT-ISLAND
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Chapitre 3. Caractériser la morphologie urbaine via un SIG pour la simulation numérique du climat urbain.

2018

44 pages; National audience

[SHS.ARCHI]Humanities and Social Sciences/Architecture space management[ SHS.ARCHI ] Humanities and Social Sciences/Architecture space management[SDU.STU.CL] Sciences of the Universe [physics]/Earth Sciences/Climatology[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology[SHS.ARCHI] Humanities and Social Sciences/Architecture space management[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/ClimatologyComputingMilieux_MISCELLANEOUS
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Capability of a high resolution hydroclimatic modelling chain to simulate soil water deficit indices for Douglas-fir and common Beeches over Burgundy.

2016

During the 2003 drought and heat wave event, douglas-fir and common beech stands in Burgundy have been heavily affected, and presented symptoms of dieback and mortality. This event seems to be the first occurrence of expected climatic changes in the near future and questions their sustainability in Burgundy since their climate vulnerability is mainly due to the amplitude and accumulated water constraints exercised during their growing cycle. In the context of climate change and in order to provide information to forest managers who partly rely on a mapping of the climatic constraints until the end of this century, this work explores the ability of a high resolution hydroclimatic modelling c…

[SHS.GEO] Humanities and Social Sciences/GeographyWRFDéficit hydrique du solMOSPhysical parametrizationModélisation régionale du climatEvapo-Transpiration Potentielle[SDU.STU.CL] Sciences of the Universe [physics]/Earth Sciences/Climatologyparamétrisation physiqueBilan HydriqueWater BalancePotential Evapo-TranspirationSoil Water deficitRegional climate modelling
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L'Oscillation de Madden-Julian et la variabilité pluviométrique régionale en Afrique Subsaharienne

2007

The role of the Madden-Julian Oscillation ("MJO") on rainfall variability in Sub-Saharan Africa is examined, based on daily rain-gauge records and the NCEP-DOE AMIP-II reanalyses. The convective and dynamical signal associated with the MJO is extracted using two differing methodologies, the BMRC daily indices (Wheeler & Hendon 2004) on the one hand, and a Local Mode Analysis ("LMA", Goulet & Duvel 2000) on the other hand. The temporal variability of the MJO (in terms of period, amplitude, seasonality and location of the convective anomalies) is first analysed. Though the overall amplitude of the signal is not related to El Niño, the oscillations occurring under El Niño (La Niña) conditions …

atmospheric <br />dynamicsintraseasonal variabilityinteractions d'échelleSub-Saharan Africavariabilité intrasaisonnièrerainfall<br />dynamique atmosphériqueclimate diagnosticAfrique Subsaharienne[SDU.STU.CL] Sciences of the Universe [physics]/Earth Sciences/Climatology[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatologydiagnostic climatiqueMadden-Julian Oscillationpluviométriescale interactions[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/ClimatologyOscillation de Madden-Julian
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