Search results for " spatial pattern"

showing 10 items of 39 documents

Digital thermal monitoring of the Amazon forest: an intercomparison of satellite and reanalysis products

2015

Remote sensing and climate digital products have become increasingly available in recent years. Access to these products has favored a variety of Digital Earth studies, such as the analysis of the impact of global warming over different biomes. The study of the Amazon forest response to drought has recently received particular attention from the scientific community due to the occurrence of extreme droughts and anomalous warming over the last decade. This paper focuses on the differences observed between surface thermal anomalies obtained from remote sensing moderate resolution imaging spectroradiometer (MODIS) and climatic (ERA-Interim) monthly products over the Amazon forest. With a few e…

010504 meteorology & atmospheric sciences0208 environmental biotechnologyBiome02 engineering and technology01 natural sciences020801 environmental engineeringComputer Science ApplicationsGeographyRemote sensing (archaeology)Effects of global warmingClimatologyGeneral Earth and Planetary SciencesCommon spatial patternSatellite imagerySatelliteModerate-resolution imaging spectroradiometerSoftwareDigital Earth0105 earth and related environmental sciences
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Impact of internal variability on projections of Sahel precipitation change.

2017

12 pages; International audience; The impact of the increase of greenhouse gases on Sahelian precipitation is very uncertain in both its spatial pattern and magnitude. In particular, the relative importance of internal variability versus external forcings depends on the time horizon considered in the climate projection. In this study we address the respective roles of the internal climate variability versus external forcings on Sahelian precipitation by using the data from the CESM Large Ensemble Project, which consists of a 40 member ensemble performed with the CESM1-CAM5 coupled model for the period 1920–2100. We show that CESM1-CAM5 is able to simulate the mean and interannual variabilit…

010504 meteorology & atmospheric sciences0208 environmental biotechnologyClimate changeMagnitude (mathematics)Time horizon02 engineering and technologyForcing (mathematics)01 natural sciencesWest AfricaPrecipitation0105 earth and related environmental sciencesGeneral Environmental ScienceHorizon (archaeology)Renewable Energy Sustainability and the EnvironmentPublic Health Environmental and Occupational Healthuncertainties020801 environmental engineeringclimate change13. Climate action[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/ClimatologyClimatologyGreenhouse gasinternal variabilityEnvironmental scienceCommon spatial pattern[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/Climatology
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Climate indices for the Baltic states from principal component analysis

2017

Abstract. We used principal component analysis (PCA) to derive climate indices that describe the main spatial features of the climate in the Baltic states (Estonia, Latvia, and Lithuania). Monthly mean temperature and total precipitation values derived from the ensemble of bias-corrected regional climate models (RCMs) were used. Principal components were derived for the years 1961–1990. The first three components describe 92 % of the variance in the initial data and were chosen as climate indices in further analysis. Spatial patterns of these indices and their correlation with the initial variables were analyzed, and it was detected (based on correlation coefficient between principal compon…

010504 meteorology & atmospheric sciencesCorrelation coefficientlcsh:Dynamic and structural geology0208 environmental biotechnologylcsh:QE1-996.502 engineering and technologySeasonalitymedicine.disease01 natural sciences020801 environmental engineeringLatitudelcsh:Geologylcsh:QE500-639.5ClimatologyPrincipal component analysisSpatial ecologymedicineGeneral Earth and Planetary SciencesCommon spatial patternEnvironmental scienceClimate modellcsh:QPrecipitationlcsh:Science0105 earth and related environmental sciencesEarth System Dynamics
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A critical discussion of the electromagnetic radiation (EMR) method to determine stress orientations within the crust

2012

Abstract. In recent years, the electromagnetic radiation (EMR) method has been used to detect faults and to determine main horizontal stress directions from variations in intensities and directional properties of electromagnetic emissions, which are assumed to be generated during micro-cracking. Based on a large data set taken from an area of about 250 000 km2 in Northern Germany, Denmark, and southern Sweden with repeated measurements at one location during a time span of about 1.5 yr, the method was systematically tested. Reproducible observations of temporary changes in the signal patterns, as well as a strongly concentric spatial pattern of the main directions of the magnetic component …

010504 meteorology & atmospheric sciencesStratigraphySoil Science010502 geochemistry & geophysicsSignalElectromagnetic radiation01 natural sciencesStress (mechanics)03 medical and health scienceslcsh:StratigraphyGeochemistry and PetrologyPoint (geometry)Very low frequencyEarth-Surface Processeslcsh:QE640-699030304 developmental biology0105 earth and related environmental sciences0303 health scienceslcsh:QE1-996.5Geovetenskap och miljövetenskapPaleontologyCrustGeologyData setlcsh:GeologyGeophysicsCommon spatial patternGeologiEarth and Related Environmental SciencesSeismologyGeology
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Monitoring elevation variations in leaf phenology of deciduous broadleaf forests from SPOT/VEGETATION time-series

2011

International audience; In mountain forest ecosystems where elevation gradients are prominent, temperature gradient-based phonological variability can be high. However, there are few studies that assess the capability of remote sensing observations to monitor ecosystem phenology along elevation gradients, despite their relevance under climate change. We investigated the potential of medium resolution remotely sensed data to monitor the elevation variations in the seasonal dynamics of a temperate deciduous broadleaf forested ecosystem. Further, we explored the impact of elevation on the onset of spring leafing. This study was based on the analysis of multi-annual time-series of VEGETATION da…

010504 meteorology & atmospheric sciences[SDV]Life Sciences [q-bio]0211 other engineering and technologiesSoil Science02 engineering and technologyLand coverSPRING PHENOLOGYPhonologyTemperate deciduous forest01 natural sciencesPLANT PHENOLOGYGLOBAL CHANGEComputers in Earth SciencesBeechVEGETATION PHENOLOGY021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingCLIMATE-CHANGEbiologyPhenologyElevationLeaf unfoldingGeologyVegetation15. Life on landbiology.organism_classificationDeciduous forestNOAA-AVHRRDeciduousMODISTemporal unmixingHIGH-LATITUDES13. Climate actionElevation[SDE]Environmental SciencesSATELLITE DATAEnvironmental scienceCommon spatial patternVEGETATIONPerpendicular vegetation indexREMOTE-SENSING DATARemote Sensing of Environment
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Fish assemblages cope with ocean acidification in a shallow volcanic CO2 vent benefiting from an adjacent recovery area

2020

Shallow CO2 vents are used to test ecological hypotheses about the effects of ocean acidification (OA). Here, we studied fish assemblages associated with Cymodocea nodosa meadows exposed to high pCO2/low pH conditions at a natural CO2 vent in the Mediterranean Sea. Using underwater visual census, we assessed fish community structure and biodiversity in a low pH site (close to the CO2 vent), a close control site and a far control site, hypothesising a decline in biodiversity and a homogenization of fish assemblages under OA conditions. Our findings revealed that fish diversity did not show a unique spatial pattern, or even significant relationships with pH, but correlated with seagrass leaf …

0106 biological sciencesSettore BIO/07 - EcologiaCymodocea nodosaBiodiversitySettore BIO/05 - ZoologiaJuvenileAquatic ScienceOceanography010603 evolutionary biology01 natural sciencesUnderwater visual censusMediterranean seaAbundance (ecology)CO2 seep14. Life underwaterCymodocea nodosabiologyEcologypH010604 marine biology & hydrobiologySeagraCommunity structureOcean acidificationGeneral MedicineBiodiversitybiology.organism_classificationPollutionCommunity structureSeagrassFishMediterranean seaEnvironmental scienceCommon spatial pattern
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Cambios en la frecuencia de los Regímenes de Tiempo sobre la región Euro-Atlántica y Mediterránea y su relación con las temperaturas anómalas sobre e…

2014

An exercise has been carried out to assess to what extent the Euro-Atlantic Weather Regimes (WR), described from the ERA-interim Reanalysis in the summer season, projects onto a pool of AGCMAMIP simulations in which sea surface temperatures (SST) are prescribed from observations. Although the model simulations present some biases in the spatial structure and seasonality of WRs, exhibiting also less variability, they are able to capture main WR over the region in summer season: +Middle East –Middle East, +NAO, -NAO. WR paradigm is used to quantify changes in the atmosphere under warmer/colder than normal conditions over the Mediterranean Sea. To address this problem, firstly, changes in the …

AtmosphereSummer seasonMediterranean climateGeographyMediterranean seaSpatial structureClimatologymedicineCommon spatial patternSeasonalitymedicine.diseaseMediterranean BasinFísica de la Tierra
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Detection of homogeneous precipitation regions at seasonal and annual time scales, northwest Iran

2017

Abstract Detection of homogeneous climate areas is a challenging issue, which can be affected by different criteria. One of the most prominent factors is choosing the time scale, which can lead to different spatial and temporal patterns. Total precipitation is a key factor in climatological studies, and studying its distribution is of utmost importance. The combination of principal components analysis and cluster analysis is used for homogeneous precipitation areas' detection. Hence, the spatial pattern of total precipitation was investigated in northwestern Iran during the past two decades (1991–2010) on seasonal and annual time scales. The results of clustering on each time scale were val…

Atmospheric ScienceGlobal and Planetary Change010504 meteorology & atmospheric sciencesSettore GEO/04 - Geografia Fisica E Geomorfologia0208 environmental biotechnology02 engineering and technologyManagement Monitoring Policy and Law01 natural sciences020801 environmental engineeringHomogeneous precipitationClimatologyPrincipal component analysisPeriod (geology)Cluster (physics)Common spatial patternEnvironmental sciencePrecipitationScale (map)Cluster analysisSettore GEO/05 - Geologia Applicata0105 earth and related environmental sciencesWater Science and Technologycluster analysis GIS principal component analysis time scale total precipitation
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Seasonal precipitation interpolation at the Valencia region with multivariate methods using geographic and topographic information

2009

The spatial pattern of precipitation is a complex variable that strongly depends on other geographic and topographic factors. As precipitation is usually known only at certain locations, interpolation procedures are needed in order to predict this variable in other regions. The use of multivariate interpolation methods is usually preferred, as secondary variables—generally derived using GIS tools—correlated with precipitation can be included. In this paper, a comparative study on different univariate and multivariate interpolation methodologies is presented. Our study area is centred in the region of Valencia, located to the eastern Spanish Mediterranean coast. The followed methodology can …

Atmospheric ScienceMultivariate statisticsRain gaugeUnivariateGeostatisticsVariables (Matemàtica)Multivariate interpolationPlujaKrigingClimatologyClimatologiaEnvironmental scienceCommon spatial patternInterpolation
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Morphological similarities between DBM and a microeconomic model of sprawl

2010

JEL classification : C61; C63; D62; R21; R40; International audience; We present a model that simulates the growth of a metropolitan area on a 2D lattice. The model is dynamic and based on microeconomics. Households show preferences for nearby open spaces and neighbourhood density. They compete on the land market. They travel along a road network to access the CBD. A planner ensures the connectedness and maintenance of the road network. The spatial pattern of houses, green spaces and road network self-organises, emerging from agents individualistic decisions. We perform several simulations and vary residential preferences. Our results show morphologies and transition phases that are similar…

DIELECTRIC BREADOWNPREFERENCES RESIDENTIELLESEconomics and EconometricsSocial connectednessNEIGHBOURHOOD EXTERNALITIES[SHS.GEO] Humanities and Social Sciences/GeographyGeography Planning and Development0211 other engineering and technologies02 engineering and technology01 natural sciences[ SHS.GEO ] Humanities and Social Sciences/GeographyFRACTAL[SHS]Humanities and Social SciencesMicroeconomics11. Sustainability0103 physical sciences010306 general physicscomputer.programming_languageROAD NETWORKOPEN SPACEUrban sprawlURBAN SPRAWL021107 urban & regional planning[SHS.GEO]Humanities and Social Sciences/GeographyPlannerMetropolitan areaUrban economicsGeographyLand marketCommon spatial patterncomputerCartography
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