Search results for "cloud cover"

showing 10 items of 48 documents

Sensitivity of low-level clouds and precipitation to anthropogenic aerosol emission in southern West Africa: a DACCIWA case study

2021

Abstract. During the West African summer monsoon, pollutants emitted in urbanized coastal areas modify cloud cover and precipitation patterns. The Dynamics-Aerosol-Chemistry-Cloud-Interactions in West Africa (DACCIWA) field campaign provided numerous aircraft-based and ground-based observations, which are used here to evaluate two experiments made with the coupled WRF-CHIMERE model, integrating both the direct and indirect aerosol effect on meteorology. During one well-documented week (1–7 July 2016), the impacts of anthropogenic aerosols on the diurnal cycle of low-level clouds and precipitation are analyzed in detail using high and moderate intensity of anthropogenic emissions in the expe…

PollutionAtmospheric Scienceaerosolmedia_common.quotation_subjectCloud covercloudsMonsoonAtmospheric sciencescomplex mixturesWest africaDiurnal cycleaerosol emissionddc:550DACCIWAPrecipitationlow-level cloudsmedia_commonPollutant[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]AerosolEarth sciences13. Climate action[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology[SDE]Environmental SciencesEnvironmental sciencesummer monsoonDynamics-Aerosol-Chemistry-Cloud Interactions in West Africaanthropogenic aerosol emission
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UV Index Experimental Values During the Years 2000 and 2001 from the Spanish Broadband UV-B Radiometric Network¶

2007

An analysis is made of experimental ultraviolet erythemal solar radiation data measured during the years 2000 and 2001 by the Spanish UV-B radiation evaluation and prediction network. This network consists of 16 Robertson-Berger type pyranometers for evaluating solar erythemal radiation and five Brewer spectroradiometers for evaluating the stratospheric ozone. On the basis of these data the Ultraviolet Index (UVI) was evaluated for the measuring stations that are located either in coastal regions or in the more densely populated regions inland on the Iberian Peninsula. It has been checked that in most cases the maximum irradiance values corresponded to solar noon, although there were except…

PyranometerMeteorologyCloud coverIrradianceGeneral MedicineNoonAtmospheric sciencesmedicine.disease_causeBiochemistrySpectroradiometerOzone layermedicineEnvironmental scienceUltraviolet indexPhysical and Theoretical ChemistryUltravioletPhotochemistry and Photobiology
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In situ surface temperature retrieval in a boreal forest under variable cloudiness conditions

2005

Canopy temperature retrieval was one of the purposes during the Solar Induced FLuorescence EXperiment (SIFLEX‐2002) of the European Space Agency, carried out in a Finnish boreal forest. In this work, we describe the strategy used to determine this temperature from ground thermal infrared (TIR) data under skies with variable cloud cover. TIR radiance was measured by a CIMEL Electronique CE 312 radiometer. An analysis of the radiative transfer equation showed which terms were necessary to obtain accurate surface temperatures during the campaign. Atmospheric correction was considered negligible due to the small atmospheric path, but hemispheric downwelling sky radiance determination was needed…

RadiometerCloud coverCloud heightRadianceEmissivityRadiative transferAtmospheric correctionGeneral Earth and Planetary SciencesRadiometryEnvironmental scienceAtmospheric sciencesRemote sensingInternational Journal of Remote Sensing
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Superparameterised cloud effects in the EMAC general circulation model (v2.50) – influences of model configuration

2020

A new module has been implemented in the fifth generation of the ECMWF/Hamburg (ECHAM5)/Modular Earth Submodel System (MESSy) Atmospheric Chemistry (EMAC) model that simulates cloud-related processes on a much smaller grid. This so-called superparameterisation acts as a replacement for the convection parameterisation and large-scale cloud scheme. The concept of embedding a cloud-resolving model (CRM) inside of each grid box of a general circulation model leads to an explicit representation of cloud dynamics. The new model component is evaluated against observations and the conventional usage of EMAC using a convection parameterisation. In particular, effects of applying different configurat…

Scale (ratio)Meteorologybusiness.industryCloud coverlcsh:QE1-996.5Cloud computingSensible heatGridlcsh:GeologyDiurnal cycleEnvironmental scienceClimate statePrecipitationbusinessGeoscientific Model Development
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Coupling SAR X-band and optical data for NDVI retrieval: model calibration and validation on two test areas

2013

Sustainability of modern agro-hydrology requires the knowledge of spatial and temporal variability of vegetation biomass to optimize management of land and water resources. Diversely from optical imaging, temporal resolution of active sensors, such as SAR, is not limited by sky cloudiness; thus, they may be combined with optical imageries to provide a more continuous monitoring of land surfaces. Several new SAR missions (e.g., ALOS-PALSAR, COSMO-SkyMed 1 and 2, TerraSAR-X, TerraSAR-X2, Sentinel 1) acquiring at X-, C- and L-bands and dual polarization capability, are characterized by a short revisit time (from 12 h to ~10 days) and high spatial resolution (<20 m). These satellites could prov…

Synthetic aperture radarL bandMeteorologyBackscatterCloud covermedia_common.quotation_subjectSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaContinuous monitoringRadar backscatteringNormalized Difference Vegetation IndexNDVI cross-polarized backscattering DEIMOS-1 COSMO-SkyMed Landsat 7 SCL-offGeographySkyTemporal resolutionSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliSettore ICAR/06 - Topografia E Cartografiamedia_commonRemote sensingvegetation index
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Vegetation index retrieval by coupling optical and SAR images

2012

Monitoring spatial and temporal variability of Vegetation Indices (VIs) is important to manage land and water resources, with significant impact on the sustainability of modern agriculture Although algorithms based on optical data give accurate products, cloud cover dramatically reduces the temporal resolution of these outputs. The launch of new Synthetic Aperture Radar (SAR) constellations such as COSMO-Skymed opened new opportunities to develop agro-hydrological applications. Indeed, these satellites may represent a suitable source of data for operational applications due to their high spatial and temporal resolutions (10 m in StripMap PingPong acquisition mode, best revisit time with 4 s…

Synthetic aperture radarMeteorologyBackscatterCloud coverSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaX bandLand coverNormalized Difference Vegetation IndexGeographyTemporal resolutionSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliImage resolutionSettore ICAR/06 - Topografia E CartografiaRemote sensingNDVI crossed-polarized backscattering DEIMOS COSMO-Skymed
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Investigating the Relationship between X-Band SAR Data from COSMO-SkyMed Satellite and NDVI for LAI Detection

2013

Monitoring spatial and temporal variability of vegetation is important to manage land and water resources, with significant impact on the sustainability of modern agriculture. Cloud cover noticeably reduces the temporal resolution of retrievals based on optical data. COSMO-SkyMed (the new Italian Synthetic Aperture RADAR-SAR) opened new opportunities to develop agro-hydrological applications. Indeed, it represents a valuable source of data for operational use, due to the high spatial and temporal resolutions. Although X-band is not the most suitable to model agricultural and hydrological processes, an assessment of vegetation development can be achieved combing optical vegetation indices (V…

Synthetic aperture radarMeteorologyCOSMO-SkyMedCloud coverSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaX bandLand coverRadar backscatteringNormalized Difference Vegetation IndexLAIcross-polarized backscatteringTemporal resolutionDEIMOS-1General Earth and Planetary SciencesEnvironmental scienceSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliNormalized Difference Vegetation Index (NDVI)lcsh:QNormalized Difference Vegetation Index (NDVI); LAI; cross-polarized backscattering; DEIMOS-1; COSMO-SkyMedLeaf area indexlcsh:ScienceImage resolutionSettore ICAR/06 - Topografia E CartografiaRemote sensingRemote Sensing
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Power sensitivity analysis of multi-frequency, multi-polarized, multi-temporal SAR data for soil-vegetation system variables characterization

2017

Abstract: The knowledge of spatial and temporal variability of soil water content and others soil-vegetation variables (leaf area index, fractional cover) assumes high importance in crop management. Where and when the cloudiness limits the use of optical and thermal remote sensing techniques, synthetic aperture radar (SAR) imagery has proven to have several advantages (cloud penetration, day/night acquisitions and high spatial resolution). However, measured backscattering is controlled by several factors including SAR configuration (acquisition geometry, frequency and polarization), and target dielectric and geometric properties. Thus, uncertainties arise about the more suitable configurati…

Synthetic aperture radarSpatial correlation010504 meteorology & atmospheric sciencesCloud coverScience0211 other engineering and technologies02 engineering and technologyBackscatteringSoil water content01 natural scienceslaw.inventionsensitivity analysislawSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestalibackscattering; soil water content; surface roughness; leaf area index; sensitivity analysisRadarLeaf area indexWater content021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingSurface roughneQSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaSoil watersurface roughnessLeaf area indexSensitivity analysiBackscattering; Leaf area index; Sensitivity analysis; Soil water content; Surface roughness; Earth and Planetary Sciences (all)General Earth and Planetary SciencesEnvironmental scienceSpatial variabilityEarth and Planetary Sciences (all)Settore ICAR/06 - Topografia E Cartografia
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Vertical grid refinement for stratocumulus clouds in the radiation scheme of a global climate model

2021

Abstract. In this study, we implement a vertical grid refinement scheme in the radiation routine of the global aerosol-climate model ECHAM-HAM, aiming to improve the representation of stratocumulus clouds and address the underestimation of their cloud cover. The scheme is based on a reconstruction of the temperature inversion as a physical constraint for the cloud top. On the refined grid, the boundary layer and the free troposphere are separated and the cloud's layer is made thinner. The cloud cover is re-calculated either by conserving the cloud volume (SC-VOLUME) or by using the Sundqvist cloud cover routine on the new grid representation (SC-SUND). In global climate simulations, we find…

TroposphereBoundary layerCover (telecommunications)Meteorologybusiness.industryGeneral Circulation ModelCloud coverEnvironmental scienceInversion (meteorology)Cloud computingGridbusinessAstrophysics::Galaxy Astrophysics
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2021

Abstract. In this study, we implement a vertical grid refinement scheme in the radiation routine of the global aerosol–climate model ECHAM-HAM, aiming to improve the representation of stratocumulus clouds and address the underestimation of their cloud cover. The scheme is based on a reconstruction of the temperature inversion as a physical constraint for the cloud top. On the refined grid, the boundary layer and the free troposphere are separated and the cloud's layer is made thinner. The cloud cover is recalculated either by conserving the cloud volume (SC-VOLUME) or by using the Sundqvist cloud cover routine on the new grid representation (SC-SUND). In global climate simulations, we find …

TroposphereBoundary layerMeteorologyCover (telecommunications)business.industryCloud coverEnvironmental scienceA priori and a posterioriCloud computingInversion (meteorology)businessGridGeoscientific Model Development
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