Search results for "Surface mode"

showing 10 items of 13 documents

APPLICATION OF UNMANNED AERIAL VEHICLES FOR GLACIER RESEARCH IN THE ARCTIC AND ANTARCTIC

2019

Unmanned aerial vehicles or drones are nowadays widely used in a broad field of scientific and commercial applications. Despite this, it is quite a new method for glacier mapping in polar regions and has a lot of advantages, as well as disadvantages over more classical remote sensing instruments. Here we examine the main issues associated with the application of drones for glacier research from our experience in Iceland, Greenland and the Antarctic. We use DJI Phantom series drones for the obtaining of aerial photographs and produce digital surface models (resolution of 8 – 16 cm) and orthomosaics (resolution of 2 – 4 cm) for glacier mapping. Several issues related to the ground control poi…

Summer seasonGeolocationgeographygeography.geographical_feature_categoryRemote sensing (archaeology)drone; digital surface model; orthomosaic; polar regionsEnvironmental scienceGlacierSatellite systemField (geography)DroneRemote sensingThe arcticENVIRONMENT. TECHNOLOGIES. RESOURCES. Proceedings of the International Scientific and Practical Conference
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Assessment of the SMAP Level-4 Surface and Root-Zone Soil Moisture Product Using In Situ Measurements

2017

International audience; The Soil Moisture Active Passive (SMAP) mission Level-4 Surface and Root-Zone Soil Moisture (L4_SM) data product is generated by assimilating SMAP L-band brightness temperature observations into the NASA Catchment land surface model. The L4_SM product is available from 31 March 2015 to present (within 3 days from real time) and provides 3-hourly, global, 9-km resolution estimates of surface (0-5 cm) and root-zone (0-100 cm) soil moisture and land surface conditions. This study presents an overview of the L4_SM algorithm, validation approach, and product assessment versus in situ measurements. Core validation sites provide spatially averaged surface (root zone) soil m…

Atmospheric Science010504 meteorology & atmospheric sciences0208 environmental biotechnologyDrainage basin[SDU.STU]Sciences of the Universe [physics]/Earth SciencesSoil science02 engineering and technologyLand cover01 natural sciencesStandard deviationITC-HYBRIDData assimilationSoil temperatureWater content0105 earth and related environmental sciencesgeographygeography.geographical_feature_category020801 environmental engineeringSatellite observations[SDU]Sciences of the Universe [physics]Brightness temperatureITC-ISI-JOURNAL-ARTICLEData assimilationDNS root zoneEnvironmental scienceSoil moistureLand surface modelScale (map)Kalman filtersJournal of hydrometeorology
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Development and analysis of the Soil Water Infiltration Global database

2018

27 Pags.- 11 Tabls.- 8 Figs. © Author(s) 2018. This work is distributed under the Creative Commons Attribution 4.0 License.

Condutividade Hidráulica[SDV]Life Sciences [q-bio]0208 environmental biotechnology02 engineering and technologySilt910computer.software_genreSoilRING INFILTROMETERS900 Geschichte und Geografie::910 Geografie Reisen::910 Geografie ReisenHydraulic conductivityELECTRICAL-CONDUCTIVITYAgricultural landddc:550Meteorology & Atmospheric SciencesSATURATED HYDRAULIC CONDUCTIVITYGeosciences Multidisciplinarydatabaselcsh:Environmental sciences2. Zero hungerlcsh:GE1-350DatabaseIN-SITUlcsh:QE1-996.5Geology04 agricultural and veterinary sciencesPE&RCPedo-transfer functions6. Clean waterInfiltration (hydrology)HYDROPHYSICAL PARAMETERS[SDE]Environmental SciencesPhysical SciencesINFILTRATION GLOBAL DATABASEHidrologiaHydraulic conductivityPHYSICAL-PROPERTIESSANDY SOILTENSION INFILTROMETEREcology and EnvironmentPedotransfer functionPEDOTRANSFER FUNCTIONSLife ScienceSOIL INFILTRATION MEASUREMENTSLand surface modelsInfiltration (hydrology)Soil Water Infiltration Global databaseANALYSIS OF THE SOIL WATERScience & TechnologyLand useInfiltration15. Life on land020801 environmental engineeringInfiltraçãolcsh:GeologySoloInfiltration Land surface models Land use Pedo-transfer functionsSWIGAgriculture and Soil ScienceData qualityITC-ISI-JOURNAL-ARTICLEEarth and Environmental SciencesINFILTROMETER MEASUREMENTSLand useSoil water040103 agronomy & agriculture0401 agriculture forestry and fisheriesGeneral Earth and Planetary SciencesEnvironmental scienceHydrologyITC-GOLDcomputer
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Umbilical cord cysts: evaluation with different 3-dimensional sonographic modes.

2010

Objective. The purpose of this series was to determine whether the use of different 3-dimensional (3D) sonographic modes allows better definition of umbilical cord cysts and pseudocysts in utero. Methods. Two cases of umbilical cord cysts and 1 of a pseudocyst were analyzed and compared with 2-dimensional (2D), 3D, angiopower Doppler, tomographic ultrasound imaging (TUI), virtual organ computer-aided analysis (VOCAL), and automatic volume calculation (AVC) sonographic modes. All cases were followed during pregnancy. A karyotype analysis was also obtained. Results. Three-dimensional sonography, TUI, and VOCAL allowed clear visualization and evaluation of the sizes, locations, and numbers of …

AdultFetusmedicine.medical_specialtyRadiological and Ultrasound Technologybusiness.industryReproducibility of ResultsUmbilical cordSensitivity and SpecificitySurface modeUmbilical CordDoppler sonographyYoung Adultmedicine.anatomical_structureImaging Three-DimensionalImage Interpretation Computer-AssistedmedicineUltrasound imagingHumansRadiology Nuclear Medicine and imagingFemaleRadiologyUrachal CystbusinessUltrasonographyJournal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
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Simulation of surface energy fluxes and meteorological variables using the Regional Atmospheric Modeling System (RAMS): Evaluating the impact of land…

2018

Atmospheric mesoscale numerical models are commonly used not only for research and air quality studies, but also for other related applications, such as short-term weather forecasting for atmospheric, hydrological, agricultural and ecological modelling. A key element to produce faithful simulations is the proper representation of the soil parameters used in the initialization of the corresponding mesoscale numerical model. The Regional Atmospheric Modeling System (RAMS) is used in the current study. The model code has been updated in order to permit the model to be initialized using a heterogeneous soil moisture and temperature distribution derived from land surface models. Particularly, RA…

Land coverAtmospheric ScienceNumerical weather prediction/forecasting010504 meteorology & atmospheric sciencesMeteorology0208 environmental biotechnologyWeather forecastingMesoscale meteorologyInitialization02 engineering and technologyLand covercomputer.software_genre01 natural sciencesMesoscale modellingWeather stationData assimilationFluxNetMeteorologiaLand surface modelsSurface energy fluxes0105 earth and related environmental sciencesGlobal and Planetary ChangeSoil initializationFísica de la TierraForestry020801 environmental engineeringRegional Atmospheric Modeling SystemEnvironmental scienceAgronomy and Crop Sciencecomputer
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Impact of Noah-LSM Parameterizations on WRF Mesoscale Simulations: Case Study of Prevailing Summer Atmospheric Conditions over a Typical Semi-Arid Re…

2021

The current study evaluates the ability of the Weather Research and Forecasting Model (WRF) to forecast surface energy fluxes over a region in Eastern Spain. Focusing on the sensitivity of the model to Land Surface Model (LSM) parameterizations, we compare the simulations provided by the original Noah LSM and the Noah LSM with multiple physics options (Noah-MP). Furthermore, we assess the WRF sensitivity to different Noah-MP physics schemes, namely the calculation of canopy stomatal resistance (OPT_CRS), the soil moisture factor for stomatal resistance (OPT_BTR), and the surface layer drag coefficient (OPT_SFC). It has been found that these physics options strongly affect the energy partiti…

Drag coefficientsurface fluxesGeography Planning and DevelopmentMesoscale meteorologyTJ807-830Numerical weather predictionnumerical weather predictionManagement Monitoring Policy and LawSensible heatTD194-195Atmospheric sciencesRenewable energy sourcesLatent heatGE1-350Surface layerLand surface modelsland surface–atmosphere interactionsEnvironmental effects of industries and plantsRenewable Energy Sustainability and the EnvironmentSurface fluxesNoahFísica de la TierraLand surface–atmosphere interactionsNumerical weather predictionEnvironmental sciencesHeat fluxWRF modelWeather Research and Forecasting Modelland surface modelsTeoría de la Señal y ComunicacionesNoah-MPGeografia
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Improving RAMS and WRF mesoscale forecasts over two distinct vegetation covers using an appropriate thermal roughness length parameterization

2019

Land Surface Models (LSM) have shown some difficulties to properly simulate day-time 2-m air and surface skin temperatures. This kind of models are coupled to atmospheric models in mesoscale modelling, such as the Regional Atmospheric Modeling System (RAMS) and the Weather Research and Forecasting (WRF) Model. This model coupling is used within Numerical Weather Prediction Systems (NWP) in order to forecast key physical processes for agricultural meteorology and forestry as well as in ecological modelling. The current study first evaluates the surface energy fluxes and temperatures simulated by these two state-of-the-art NWP models over two distinct vegetated covers, one corresponding to a …

Atmospheric ScienceGlobal and Planetary ChangeMeteorologyNumerical weather prediction/forecastingFísica de la TierraMesoscale meteorologyEuropean Regional Development FundSurface-layer parameterizationForestryVegetationMesoscale modellingBoscos i silviculturaSurface energy fluxRoughness lengthThermal roughness lengthWeather Research and Forecasting ModelEnvironmental scienceLand surface modelsSurface energy fluxesAgronomy and Crop SciencePhysics::Atmospheric and Oceanic Physics
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Comparative assessment of RAMS and WRF short-term forecasts over Eastern Iberian Peninsula using various in-situ observations, remote sensing product…

2018

The Regional Atmospheric Modeling System (RAMS) and the Weather Research and Forecasting (WRF) mesoscale models are being used for weather and air quality studies as well as forecasting tools in Numerical Weather Prediction (NWP) systems. In the current study, we perform a comparative assessment of these models under distinct typical atmospheric conditions, classified according to the dominant wind flow and cloudiness, over Eastern Iberian Peninsula. This study is focused on the model representation of key physical processes in terms of meteorology and surface variables during a 7-days period in summer 2011. The hourly outputs produced by these two models are compared not only with observed…

Atmospheric Science010504 meteorology & atmospheric sciencesNumerical weather prediction/forecastingCloud cover0208 environmental biotechnologyWRFMesoscale meteorology02 engineering and technology01 natural sciencesMesoscale modellingSea breezePeninsulaMeteorologiaLand surface modelsAir quality index0105 earth and related environmental sciencesRemote sensinggeographygeography.geographical_feature_categoryRAMSFísica de la TierraRemote sensingNumerical weather prediction020801 environmental engineeringWeather Research and Forecasting ModelRegional Atmospheric Modeling SystemEnvironmental science
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The challenge of habitat modelling for threatened low density species using heterogeneous data: The case of Cuvier’s beaked whales in the Mediterrane…

2018

We are grateful to the ACCOBAMS Secretariat for their support in this work, including a small grant for the analysis. The Mediterranean population of Cuvieŕs beaked whale (Ziphius cavirostris), a deep-diving cetacean, is genetically distinct from the Atlantic, and subject to a number of conservation threats, in particular underwater noise. It is also cryptic at the surface and relatively rare, so obtain robust knowledge on distribution and abundance presents unique challenges. Here we use multiplatform and multiyear survey data to analyse the distribution and abundance of this species across the Mediterranean Sea. We use a novel approach combining heterogeneous data gathered with different …

0106 biological sciencesMediterranean climateCorrection factor:Cuvier's beaked whalesQH301 BiologyDensity surface modellingPopulationNDASGeneral Decision Sciences[PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph]ConservationSea stateDistribution010603 evolutionary biology01 natural sciencesMediterranean BasinQH301Beaked whaleMediterranean seaAbundanceAbundance (ecology)SDG 14 - Life Below Water14. Life underwatereducationEcology Evolution Behavior and SystematicsGCeducation.field_of_studyEcologybiology010604 marine biology & hydrobiologybiology.organism_classificationCuvier’s beaked whalesZiphius cavirostrisFisheryOceanographyGeography13. Climate actionMediterranean seaGC OceanographyEcological Indicators
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Unmanned aerial system imagery and photogrammetric canopy height data in area-based estimation of forest variables

2015

In this paper we examine the feasibility of data from unmanned aerial vehicle (UAV)-borne aerial imagery in stand-level forest inventory. As airborne sensor platforms, UAVs offer advantages cost and flexibility over traditional manned aircraft in forest remote sensing applications in small areas, but they lack range and endurance in larger areas. On the other hand, advances in the processing of digital stereo photography make it possible to produce three-dimensional (3D) forest canopy data on the basis of images acquired using simple lightweight digital camera sensors. In this study, an aerial image orthomosaic and 3D photogrammetric canopy height data were derived from the images acquired …

CanopyAerial surveyUAVta1172ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONta1171ComputerApplications_COMPUTERSINOTHERSYSTEMSphotogrammetric surface modelBasal areaAerial photographyaerial imagerylcsh:Forestryforest inventorycanopy height modelRemote sensingta113Forest inventoryEcological ModelingForestryta4112unmanned aerial systemAerial imageryPhotogrammetrylcsh:SD1-669.5Environmental scienceWoody plantSilva fennica
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