Search results for "Climate variability"

showing 10 items of 19 documents

Social process of adaptation to environmental changes: How eastern african societies intervene between crops and climate

2014

Abstract Studies on climate change can only be conducted on a long time scale, and observing how societies adapt their sowing practices to climate variability is challenging and costly. As an alternative, a space and time substitution design was used, changes in space corresponding to that induced in time by environmental change. On the eastern slope of Mount Kenya, the Tharaka community, originating from the lowlands (750 m), moved up to the midlands (950 m) with their lowland-adapted resources, whereas the Mwimbi, originating from wetter upland (1100 m), moved down to the midlands with their highland-adapted genetic resources. A weather station was installed at 950 and 1100 m, and a logis…

0106 biological sciencesAtmospheric ScienceEnsemencement010504 meteorology & atmospheric sciencesEnvironmental changeF08 - Systèmes et modes de cultureadaptation aux changements climatiqueshttp://aims.fao.org/aos/agrovoc/c_11701 natural scienceshttp://aims.fao.org/aos/agrovoc/c_2018http://aims.fao.org/aos/agrovoc/c_7142http://aims.fao.org/aos/agrovoc/c_72682. Zero hungerGlobal and Planetary ChangeAgroforestryEcologyAgriculturehttp://aims.fao.org/aos/agrovoc/c_203[ SDE.MCG ] Environmental Sciences/Global ChangesPratique culturaleGeography[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/ClimatologyCrop growth[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/ClimatologyP40 - Météorologie et climatologie[SDE.MCG]Environmental Sciences/Global ChangesClimate changeGrowing seasonSocietal impactsWeather stationAltitudehttp://aims.fao.org/aos/agrovoc/c_1374567058134E50 - Sociologie ruralehttp://aims.fao.org/aos/agrovoc/c_1666AdaptationClimate variability0105 earth and related environmental sciencesChangement climatiquebusiness.industrySowing15. Life on landhttp://aims.fao.org/aos/agrovoc/c_408613. Climate actionAgricultureSociologieAfricaAdaptationbusinessSocial Sciences (miscellaneous)010606 plant biology & botany
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Climate variability and agriculture in Italy: a stochastic frontier analysis at the regional level

2020

In the next future, climate change effects will represent a challenge for Europe and the Mediterranean area. These will have to cope with a rapid increase in climate variability. Although many economic sectors may be affected, agriculture is the most susceptible as climate heavily affects crop production trends, yield variability and the availability of areas suitable for cultivation. Using the stochastic frontier approach, the aim of this work is to analyse the impacts of climate variability on Italian regional technical efficiency in the agricultural sector for a period spanning from 2000 to 2009. Considering that technical inefficiency could be influenced by two main annual meteorologica…

Agricultural sector Climate change Climate variability Italian regions technical efficiency Stochastic frontier approachEconomics and EconometricsSociology and Political Sciencebusiness.industryYield (finance)Crop yieldEconomic sector05 social sciencesClimate change0506 political scienceStochastic frontier analysisWork (electrical)Agriculture0502 economics and business050602 political science & public administrationEnvironmental sciencePhysical geography050207 economicsInefficiencybusinessFinanceEconomia Politica
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Recent climate variability around the Kerguelen Islands (Southern Ocean) seen through weather regimes

2021

AbstractDaily weather regimes are defined around the Kerguelen Islands (Southern Ocean) based on daily 500 hPa geopotential height anomalies derived from the ERA5 ensemble reanalysis over the period 1979-2018. Ten regimes are retained as significant. Their occurrences are highly consistent across reanalysis ensemble members. Regimes show weak seasonality and non-significant long-term trends in their occurrences. Their sequences are usually short (1-3 days), with extreme persistence values above 10 days. Seasonal regime frequency is mostly driven by the phase of the Southern Annular Mode over Antarctica, mid-latitude dynamics over the Southern Ocean like the Pacific South American mode, and …

Atmospheric Science010504 meteorology & atmospheric sciencesSouthern OscillationGeopotential heightWeather and climate010502 geochemistry & geophysics01 natural sciencesWind speedInterannual variabilitymedicine14. Life underwaterPrecipitationSouthern OceanClimate variability0105 earth and related environmental sciencesMode (statistics)Antarctic OscillationSeasonalitymedicine.disease13. Climate action[SDU]Sciences of the Universe [physics]ClimatologyPeriod (geology)Environmental science[SDE.BE]Environmental Sciences/Biodiversity and EcologyAntarctic oscillation
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How physical parameterizations can modulate internal variability in a regional climate model

2012

Abstract The authors analyze to what extent the internal variability simulated by a regional climate model is sensitive to its physical parameterizations. The influence of two convection schemes is quantified over southern Africa, where convective rainfall predominates. Internal variability is much larger with the Kain–Fritsch scheme than for the Grell–Dévényi scheme at the seasonal, intraseasonal, and daily time scales, and from the regional to the local (grid point) spatial scales. Phenomenological analyses reveal that the core (periphery) of the rain-bearing systems tends to be highly (weakly) reproducible, showing that it is their morphological features that induce the largest internal …

ConvectionRainfallAtmospheric Science010504 meteorology & atmospheric sciences0207 environmental engineeringRegional modelsTropics[ SDU.STU.ME ] Sciences of the Universe [physics]/Earth Sciences/Meteorology02 engineering and technologyForcing (mathematics)[SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/MeteorologyIntraseasonal variability01 natural sciencesConvective rainfall13. Climate actionInternal variabilityClimatologyAfricaEnvironmental scienceClimate model020701 environmental engineeringClimate variability0105 earth and related environmental sciences
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Irrigation water intensity and climate variability: an agricultural crops analysis of Italian regions

2020

This paper examines the relationship between the requirement of water resources for irrigation and climate variability and analyses the ranking of the best and worst performance of irrigation water intensity for each Italian region. To measure water resources demanded by agriculture, the irrigation water intensity (IWI) indicator has been computed as the ratio between volumes of irrigation water and total crop harvested. By applying panel data methodologies to a regional dataset spanning from 2000 to 2009, we may address heterogeneity and omitted variable issues. By merging meteo-climatic with agricultural variables, we may confirm that water precipitations, maximum temperature, irrigation …

Crops AgriculturalIrrigationResource (biology)Agricultural IrrigationHealth Toxicology and MutagenesisClimate Change010501 environmental sciences01 natural sciencesAgricultural water management Climate variability Irrigation water intensity Pressure on local water resources Water resources Italian regional agricultural sectorEnvironmental Chemistry0105 earth and related environmental sciencesbusiness.industryWaterOmitted-variable biasAgricultureGeneral MedicinePollutionWater resourcesRankingItalyAgricultureEnvironmental scienceWater resource managementbusinessIntensity (heat transfer)Panel data
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Influence of the Madden-Julian Oscillation on Southern African summer rainfall

2007

Rain-causing mechanisms over Southern Africa (south of 15˚S) involve both tropical and temperate dynamics. Most studies focused on the synoptical timescale, while the intraseasonal (20-120 days) variability has more been neglected to date. This study aims at determining whether the dominant mode of intraseasonal variability in the Tropics, namely the Madden-Julian Oscillation (MJO), has a significant impact on Southern African rainfall and associated atmospheric dynamics. The examination of outgoing longwave radiation (OLR) over Southern Africa shows indeed significant intraseasonal fluctuations at the 30-60 day timescale, i.e. in the pe- riods that are typically reminiscent of the MJO. In ord…

Dynamical climatologyAtmospheric Science010504 meteorology & atmospheric sciencesFlux02 engineering and technologyForcing (mathematics)subtropical zoneAtmospheric sciences01 natural sciencestropical zoneDéclenchement[SDU.STU.CL] Sciences of the Universe [physics]/Earth Sciences/Climatology020701 environmental engineeringAtmospheric convectionAtmospheric dynamicsMécanismeConvection atmosphériqueMadden–Julian oscillationHydroclimatologyatmospheric precipitation[ SDE.MCG ] Environmental Sciences/Global Changes[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/ClimatologyClimatologyClimatologie dynamiqueOutgoing longwave radiation[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/ClimatologySouthern AfricaGeologyTriggeringSummer[SDE.MCG]Environmental Sciences/Global Changesrainfall0207 environmental engineeringmechanismSubtropicsLatitudeVariation interannuelleAtmospheric convection[SDE.MCG.CG]Environmental Sciences/Global Changes/domain_sde.mcg.cgComposite analysis[ SDE.MCG.CG ] Environmental Sciences/Global Changes/domain_sde.mcg.cgMadden Julian oscillationClimate variabilityOutgoing longwave radiation0105 earth and related environmental sciencesInterannual variationTropics[SDE.MCG] Environmental Sciences/Global Changes13. Climate actionIntraseasonal variationAfrica
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Holocene climate variability of the Western Mediterranean: Surface water dynamics inferred from calcareous plankton assemblages

2020

A high-resolution study (centennial scale) has been performed on the calcareous plankton assemblage of the Holocene portion of the Ocean Drilling Program Site 976 (Alboran Sea) with the aim to identify the main changes in the surface water dynamic. The dataset also provided a seasonal foraminiferal sea surface water temperatures (SSTs), estimated using the modern analog technique SIMMAX 28, and it was compared with available geochemical and pollen data at the site. Three main climate shifts were identified as (1) the increase in abundance of Syracosphaera spp. and Turborotalita quinqueloba marks the early Holocene humid phase, during maximum summer insolation and enhanced river runoff. It i…

Mediterranean climate010506 paleontologyArcheology010504 meteorology & atmospheric sciencesPaleoclimate[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistorymillennial–centennial-scale climate variability[SDE.MCG]Environmental Sciences/Global ChangesPhysical Geography; GeologyForaminifera01 natural sciencesForaminiferaPaleoclimatologyCoccolithophorescoccolithophore14. Life underwaterComputingMilieux_MISCELLANEOUSHolocene0105 earth and related environmental sciencesEarth-Surface ProcessesGlobal and Planetary ChangeEcologybiologyHoloceneMillennial-centennial-scale climate variabilityPaleontologyDrilling15. Life on landPlanktonbiology.organism_classificationAlboran SeaOceanography13. Climate actionMillennial-centennial scale climate variability[SDU.STU.PG]Sciences of the Universe [physics]/Earth Sciences/PaleontologySurface waterCalcareousGeologyPaleoproductivity
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Paleoclimatic and Paleoceanographic reconstruction of the Pleistocene-Holocene through the study of planktonic foraminifera of two sedimentary cores …

2017

North Atlantic Azores planktonic foraminifera stable isotopes carbonate content orbital- and millennial-scale climate variability Holocene-Paleistocene last climate cycleSettore GEO/01 - Paleontologia E Paleoecologia
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Orbital variations in planktonic foraminifera assemblages from the Ionian Sea during the Middle Pleistocene Transition

2013

Abstract The Middle Pleistocene Transition (1.2–0.7 Ma) is the most recent re-organization of the global climate system which includes variations in the frequency and amplitude of glacial/interglacial cycles, increased ice sheet volume, sea surface temperature cooling and a significant drop in the CO 2 atmospheric levels. Here we present high-resolution planktonic foraminifera data (mean sampling resolution of about 780 years) from core LC10 recovered in the Ionian Sea (eastern Mediterranean), between 1.2 and 0.9 Ma. Selected taxa, among them G. ruber , T. quinqueloba and G. bulloides , show significant periodicities that can be associated to orbital cycles, mainly precession and obliquity.…

Planktonic foraminifera010504 meteorology & atmospheric sciencesPleistoceneMiddle Pleistocene Transition010502 geochemistry & geophysicsOceanography01 natural sciencesForaminiferaPaleontology14. Life underwaterGlacial periodEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesEarth-Surface ProcessesgeographyOrbital climate variabilitygeography.geographical_feature_categorybiologyPaleontologySapropelIonian SeaPlanktonic Foraminifera Eastern Mediterranean Middle Pleistocene transitionbiology.organism_classificationNeogloboquadrina pachyderma sinistral coilingSea surface temperatureOceanography13. Climate actionInterglacialIce sheetQuaternaryGeology
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From synoptic to interdecadal variability in southern African rainfall: toward a unified view across time scales.

2018

International audience; During the austral summer season (November–February), southern African rainfall, south of 20°S, has been shown to vary over a range of time scales, from synoptic variability (3–7 days, mostly tropical temperate troughs) to interannual variability (2–8 years, reflecting the regional effects of El Niño–Southern Oscillation). There is also evidence for variability at quasi-decadal (8–13 years) and interdecadal (15–28 years) time scales, linked to the interdecadal Pacific oscillation and the Pacific decadal oscillation, respectively. This study aims to provide an overview of these ranges of variability and their influence on regional climate and large-scale atmospheric c…

RainfallAtmospheric Science010504 meteorology & atmospheric sciencesRange (biology)0208 environmental biotechnology02 engineering and technologyDecadal variability[SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/MeteorologyClimate classification/regimes01 natural sciences020801 environmental engineeringSummer seasonInterannual variability13. Climate action[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/ClimatologyClimatologyAfricaEnvironmental scienceClimate variability0105 earth and related environmental sciences
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