Search results for " LOESS"

showing 4 items of 4 documents

Quartz OSL dating of late quaternary Chinese and Serbian loess: A cross Eurasian comparison of dust mass accumulation rates

2019

© 2018 Elsevier Ltd and INQUA. Reconstructing dust Mass Accumulation Rate (MAR) from loess deposits is critical to understanding past atmospheric mineral dust activity and requires accurate independent age models from loess deposits across Europe and Asia. Previous correlations of loess in Europe and China have tended to focus on multi-millennial timescales, with no detailed examination of dust MAR at the two ends of the Eurasian loess belt on shorter, sub-orbital scales. Here we present a detailed quartz optically stimulated luminescence (OSL) chronology from the Serbian Titel Loess Plateau (Veliki Surduk loess core) and the Chinese Loess Plateau (Lingtai section). The luminescence ages pa…

010506 paleontologyTitel loess plateau010504 meteorology & atmospheric sciencesOptically stimulated luminescenceOSL datingGeochemistryLoessDustMars Exploration ProgramMineral dust01 natural sciencesMARLoessChinese Loess PlateauGlacial periodQuaternary[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]QuartzGeologyComputingMilieux_MISCELLANEOUS0105 earth and related environmental sciencesEarth-Surface ProcessesChronology
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Sensitivity of extreme rainfall to temperature in semi-arid Mediterranean regions

2019

Abstract Warmer air has the potential to hold more water vapour and, therefore, to provide more water to rainfall events. Studying the relationship between rainfall and temperature represents an emerging issue in hydrology and meteorology, since it can be considered fundamental for evaluating the effects of global warming on future precipitation. Various approaches have been tested across different parts of the world, in many cases observing an intensification of extreme precipitation at higher temperatures consistent with the well-known thermodynamic Clausius-Clapeyron relation (CC-scaling rate of 6–7%°C−1). However, at different locations for hourly time-scales, the temperature-extreme ra…

Mediterranean climateAtmospheric Science010504 meteorology & atmospheric sciencesClausius-Clapeyron; Extreme rainfall; Global warming; LOESS regression; Piecewise regression; Water vapour; Atmospheric Science010501 environmental sciencesAtmospheric sciencesWater vapour01 natural sciencesClausius-ClapeyronEffects of global warmingmedicinePrecipitationSegmented regression0105 earth and related environmental sciencesGlobal warmingGlobal warmingSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaExtreme rainfallRegression analysisLOESS regressionPiecewise regression15. Life on landSeasonalitymedicine.diseaseArid13. Climate actionEnvironmental science
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Relationship Between Extreme Rainfall and Surface Temperature in Sicily (Italy)

2018

The study of the relationship between extreme rainfall events and surface temperature represents an important issue in hydrology and meteorology and it could be of capital importance for evaluating the effect of global warming on future precipitation. Various approaches have been tested across different parts of the world, and, in many cases, it has been observed an intensification of precipitation with increasing temperature consistently with the thermodynamic Clausius-Clapeyron relation (CC-rate of 6-7% °C-1), according to which a warmer atmosphere is capable of holding more moisture. Nevertheless, in different locations, the scaling rate between temperature and extreme precipitation has …

Surface (mathematics)Clausius-Clapeyron Extreme rainfall TemperatureSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaTemperatureEnvironmental scienceExtreme rainfallAtmospheric sciencesClausius-ClapeyronCC rate Sicily temperatureextreme rainfall regression model broken regression LOESS
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Noise Reduction and Gap Filling of fAPAR Time Series Using an Adapted Local Regression Filter

2014

Time series of remotely sensed data are an important source of information for understanding land cover dynamics. In particular, the fraction of absorbed photosynthetic active radiation (fAPAR) is a key variable in the assessment of vegetation primary production over time. However, the fAPAR series derived from polar orbit satellites are not continuous and consistent in space and time. Filtering methods are thus required to fill in gaps and produce high-quality time series. This study proposes an adapted (iteratively reweighted) local regression filter (LOESS) and performs a benchmarking intercomparison with four popular and generally applicable smoothing methods: Double Logistic (DLOG), sm…

noise010504 meteorology & atmospheric sciencesRemote sensing applicationComputer scienceNoise reduction0211 other engineering and technologies02 engineering and technologyLand cover01 natural sciencesfAPAR; noise; MODIS; time series; filtering; interpolation; LOESSSmoothing splineLoessLOESSlcsh:Science021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingLocal regressionFilter (signal processing)Vegetation15. Life on landfilteringSnowinterpolationNoiseMODISfAPARGeneral Earth and Planetary Scienceslcsh:Qtime seriesSmoothingInterpolationRemote Sensing
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