Search results for "eta"

showing 10 items of 45767 documents

A trajectory-based classification of ERA-Interim ice clouds in the region of the North Atlantic storm track

2016

A two-type classification of ice clouds (cirrus) is introduced, based on the liquid and ice water content, LWC and IWC, along air parcel backward trajectories from the clouds. In situ cirrus has no LWC along the trajectory segment containing IWC; it forms via nucleation from the gas phase. In contrast, liquid-origin cirrus has both LWC and IWC along their backward trajectories; it forms via lifting from the lower troposphere and freezing of mixed-phase clouds. This classification is applied to 12 years of ERA-Interim ice clouds in the North Atlantic region. Between 400 and 500 hPa more than 50% are liquid-origin cirrus, whereas this frequency decreases strongly with altitude (<10% at 200 hP…

010504 meteorology & atmospheric sciences010501 environmental sciencesFluid parcelAtmospheric sciences01 natural sciencesIce waterGas phaseTroposphereGeophysicsAltitude13. Climate actionGeneral Earth and Planetary SciencesCirrusStorm trackTrajectory (fluid mechanics)Geology0105 earth and related environmental sciencesGeophysical Research Letters
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Volcanic gases

2018

010504 meteorology & atmospheric sciences010502 geochemistry & geophysics01 natural sciencesEarth and Planetary Sciences (all)0105 earth and related environmental sciences
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Joint interpretation of seismic refraction tomography and electrical resistivity tomography by cluster analysis to detect buried cavities

2020

Abstract In the last few years, the geophysical methods of seismic refraction tomography (SRT) and electrical resistivity tomography (ERT) are among the most used geophysical techniques for the reconstruction of subsoil geometries, for the investigation of underground cavities and also for the archaeological prospecting. However, the main disadvantage of each geophysical method is the difficulty of final interpretation of the data. In order to eliminate artifacts and generally improve the reliability and accuracy of geophysical interpretation, it is useful to perform a joint approach of different geophysical methods, also introducing the a priori information. In this work, it is shown the i…

010504 meteorology & atmospheric sciences010502 geochemistry & geophysics01 natural sciencesSRT ERT Joint interpretation K-means cluster analysis Modeling CavityInterpretation (model theory)GeophysicsElectrical resistivity and conductivitySettore GEO/11 - Geofisica ApplicataCluster (physics)A priori and a posterioriTomographySeismic refractionElectrical resistivity tomographyJoint (geology)GeologySeismology0105 earth and related environmental sciences
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A comprehensive in situ and remote sensing data set from the Arctic CLoud Observations Using airborne measurements during polar Day (ACLOUD) campaign

2019

The Arctic CLoud Observations Using airborne measurements during polar Day (ACLOUD) campaign was carried out north-west of Svalbard (Norway) between 23 May and 6 June 2017. The objective of ACLOUD was to study Arctic boundary layer and mid-level clouds and their role in Arctic amplification. Two research aircraft (Polar 5 and 6) jointly performed 22 research flights over the transition zone between open ocean and closed sea ice. Both aircraft were equipped with identical instrumentation for measurements of basic meteorological parameters, as well as for turbulent and radiative energy fluxes. In addition, on Polar 5 active and passive remote sensing instruments were installed, while Polar 6 …

010504 meteorology & atmospheric sciences02 engineering and technology01 natural sciencesRadiative fluxddc:5500202 electrical engineering electronic engineering information engineeringSea icelcsh:Environmental sciences0105 earth and related environmental sciencesRemote sensinglcsh:GE1-350[SDU.OCEAN]Sciences of the Universe [physics]/Ocean AtmosphereData processinggeographygeography.geographical_feature_categorybusiness.industrylcsh:QE1-996.5020206 networking & telecommunicationsTrace gaslcsh:GeologyEarth sciencesArctic13. Climate actionRemote sensing (archaeology)Polar amplificationGeneral Earth and Planetary SciencesEnvironmental scienceData centerbusiness
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Down-Scaling Modis Vegetation Products with Landsat GAP Filled Surface Reflectance in Google Earth Engine

2020

High spatial resolution vegetation products are fundamental in different fields, such as improving the understanding of crop seasonality at regional scales. Here, two new vegetation products such as the Leaf Area Index (LAI) and the Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) are downscaled at continental scales. A novel HIghly Scalable Temporal Adaptive Reflectance Fusion Model (HIS-TARFM) is used to generate the gap-free time series of Landsat surface reflectance data by fusing MODIS and Landsat reflectance for the contiguous United States. An artificial neural network is trained to capture the relationship between the gap free Landsat surface reflectance and the MODI…

010504 meteorology & atmospheric sciences0208 environmental biotechnology02 engineering and technologyDown scalingVegetationSeasonalitymedicine.disease01 natural sciencesReflectivity020801 environmental engineeringPhotosynthetically active radiationHigh spatial resolutionmedicineEnvironmental scienceLeaf area indexImage resolution0105 earth and related environmental sciencesRemote sensingIGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium
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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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2019

Abstract. This study uses the synergy of multi-resolution soil moisture (SM) satellite estimates from the Soil Moisture Ocean Salinity (SMOS) mission, a dense network of ground-based SM measurements, and a soil–vegetation–atmosphere transfer (SVAT) model, SURFEX (externalized surface), module ISBA (interactions between soil, biosphere and atmosphere), to examine the benefits of the SMOS level 4 (SMOS-L4) version 3.0, or “all weather” high-resolution soil moisture disaggregated product (SMOS-L43.0; ∼1 km). The added value compared to SMOS level 3 (SMOS-L3; ∼25 km) and SMOS level 2 (SMOS-L2; ∼15 km) is investigated. In situ SM observations over the Valencia anchor station (VAS; SMOS calibrati…

010504 meteorology & atmospheric sciences0208 environmental biotechnologyFlood forecastingInitializationBiosphere02 engineering and technologyVegetation01 natural sciences020801 environmental engineeringClimatologySpatial ecologyEnvironmental scienceSatelliteSpatial variabilityWater content0105 earth and related environmental sciencesHydrology and Earth System Sciences
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An Ecohydrological Cellular Automata Model Investigation of Juniper Tree Encroachment in a Western North American Landscape

2016

Woody plant encroachment over the past 140 years has substantially changed grasslands in western North American. We studied encroachment of western juniper (Juniperus occidentalis var. occidentalis) into a previously mixed shrub–grassland site in central Oregon (USA) using a modified version of Cellular Automata Tree–Grass–Shrub Simulator (CATGraSS) ecohydrological model. We developed simple algorithms to simulate three encroachment factors (grazing, fire frequency reduction, and seed dispersal by herbivores) in CATGraSS. Local ecohydrological dynamics represented by the model were first evaluated using satellite-derived leaf area index and measured evapotranspiration data. Reconstruc…

010504 meteorology & atmospheric sciences0208 environmental biotechnologyved/biology.organism_classification_rank.specieswoody plant02 engineering and technologyLand cover01 natural sciencesShrubecohydrologyShrublandEnvironmental ChemistrygrazingEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesHydrologygeographygeography.geographical_feature_categoryEcologybiologyved/biologyEcologySettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaVegetationPlant functional typebiology.organism_classificationEcology Evolution Behavior and Systematicseed dispersal020801 environmental engineeringJuniperus occidentalisEnvironmental sciencePlant coverJunipergrasslandshrublandfireEcosystems
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Global trends in NDVI-derived parameters obtained from GIMMS data

2011

The Normalized Difference Vegetation Index (NDVI) has been proven to be useful to assess vegetation changes around the world, in spite of limitations such as sensitivity to cloud or snow contamination. In order to map vegetation changes at global scale, this study uses NDVI time series provided by the GIMMS (Global Inventory Modeling and Mapping Studies) group, which were fitted annually to a double logistic function. This fitting procedure allowed for retrieval of NDVI-derived parameters which were tested for trends using Mann-Kendall statistics. These trends were validated by comparison at 73 ground control points documented as change hotspots. The obtained trends for NDVI-derived paramet…

010504 meteorology & atmospheric sciences0211 other engineering and technologies02 engineering and technologyVegetation15. Life on landSnow01 natural sciencesField (geography)Normalized Difference Vegetation Index13. Climate actionGeneral Earth and Planetary SciencesEnvironmental scienceSensitivity (control systems)Logistic functionScale (map)021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingInternational Journal of Remote Sensing
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Beyond APAR and NPQ: Factors Coupling and Decoupling SIF and GPP Across Scales

2021

The connection between solar-induced fluorescence (SIF) and vegetation gross primary productivity is being widely investigated across spatial, temporal, and biological scales, including: a) studies at the leaf [1], [2], plant canopy [2]–[4] or satellite pixel scale [5], [6], b) temporally with studies spanning from diurnal [7] to seasonal scales [1], [3], [5], and b) biologically with studies covering various plant functional types (PFTs), e.g., crops [4], [7], deciduous [8] or evergreen forests [1], [3], in response to different sources of stress.

010504 meteorology & atmospheric sciences0211 other engineering and technologies02 engineering and technologyVegetationDecoupling (cosmology)15. Life on landEvergreenAtmospheric sciences01 natural sciencesGross primary productivityDeciduousPlant canopy021101 geological & geomatics engineering0105 earth and related environmental sciencesMathematics2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
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