Search results for " fluxes"

showing 10 items of 49 documents

Large stocks of peatland carbon and nitrogen are vulnerable to permafrost thaw

2020

Significance Over many millennia, northern peatlands have accumulated large amounts of carbon and nitrogen, thus cooling the global climate. Over shorter timescales, peatland disturbances can trigger losses of peat and release of greenhouses gases. Despite their importance to the global climate, peatlands remain poorly mapped, and the vulnerability of permafrost peatlands to warming is uncertain. This study compiles over 7,000 field observations to present a data-driven map of northern peatlands and their carbon and nitrogen stocks. We use these maps to model the impact of permafrost thaw on peatlands and find that warming will likely shift the greenhouse gas balance of northern peatlands. …

Climate Researchnorthern peatlandspermafrost thawhiilinitrogen stocksikiroutagreenhouse gas fluxesilmastonmuutoksetKlimatforskningcarbon stockstyppikasvihuonekaasutEarth Atmospheric and Planetary SciencesPhysical SciencesturvemaatProceedings of the National Academy of Sciences of the United States of America
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State and parameter update in a coupled energy/hydrologic balance model using ensemble Kalman filtering

2012

Summary The capability to accurately monitor and describe daily evapotranspiration (ET) in a cost effective manner is generally attributed to hydrological models. However, continuous solution of energy and water balance provides precise estimations only when a detailed knowledge of sub-surface characteristics is available. On the other hand, residual surface energy balance models, based on remote observation of land surface temperature, are characterised by sufficient accuracy, but their applicability is limited by the lack of high frequency and high resolution thermal data. A compromise between these two methodologies is represented by the use of data assimilation scheme to include sparse …

Continuous modellingSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaKalman filterResidualHydrologic balanceOlive treesWater balanceData assimilationEvapotranspirationEnsemble Kalman filterSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliEnvironmental scienceEnsemble Kalman filterSVAT modellingSurface energy fluxesSVAT modelling Surface energy fluxes Hydrologic balance Ensemble Kalman filterWater Science and TechnologyRemote sensingJournal of Hydrology
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Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence

2014

Guanter, Luis et al.

Crops AgriculturalChlorophyll010504 meteorology & atmospheric sciencesCarbon modelingspaceborne spectroscopy[SDV]Life Sciences [q-bio]0211 other engineering and technologiesClimate changeSoil science02 engineering and technologyPhotosynthesisAtmospheric sciences01 natural sciencesFluorescenceCarbon cycleSpaceborne spectroscopyCarbon fluxesEcosystemPhotosynthesisAgricultural productivityChlorophyll fluorescence021101 geological & geomatics engineering0105 earth and related environmental sciences2. Zero hungerEarth observationMultidisciplinaryPrimary productionVegetationModels Theoretical15. Life on landPNAS Plus13. Climate actionCrop productivityEnvironmental scienceSettore AGR/02 - AGRONOMIA E COLTIVAZIONI ERBACEE
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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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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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Time-domain based feature space at FLUXNET sites for vegetation patterns identification

2019

Monitoring the flux transfer of mass and energy occurring within the soil-plant-atmosphere continuum is a pivotal key for understanding hydrological and vegetation relationships. Average daily values of the Priestley - Taylor (PT) parameter were calculated for 4 eddy covariance (EC) flux tower sites from FLUXNET network, characterized by different vegetation features, over the 2010-12 reference period. Site-by-site feature spaces (built by difference in diurnal and night-time land surface temperature versus enhanced vegetation index, ΔLST-EVI) were obtained by combining satellite data (MODIS) and observed PT parameter (ϕ) retrieved by FLUXNET surface energy balance (SEB) fluxes. The results…

Land surface temperatureFeature vectorEddy covarianceEnhanced vegetation indexEddy covarianceEVIAtmospheric sciencessurface energy balance fluxesEddy covariance; EVI; Land Surface Temperature; surface energy balance fluxesFlux (metallurgy)FluxNetEnvironmental monitoringEnvironmental scienceTime domainLand Surface Temperature
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Gas Geochemistry and Fractionation Processes in Florina Basin, Greece

2019

Florina Basin is located in northern Greece, close to Mount Voras where the volcanic activity of Late Messinian age began. In the area, many CO2-rich gas emissions are present as a bubbling free-phase in groundwater (both springs and wells) and soil gases. Volcanism along with the geological and geodynamic regime of the basin, created the ideal conditions for CO2 accumulation in vertically stacked reservoirs. One of these, industrially exploited by the company Air Liquide Greece, produces 30,000 t/a of CO2. Results show that CO2 concentrations in the gases of Florina can arrive up to 99.8% and are mostly above 90%. Moreover, C-isotope composition (-2.1 to + 0.3 h vs. VPDB) indicates a mixed…

Methane Carbon dioxide fluxes accumulation chamberSettore GEO/08 - Geochimica E Vulcanologia
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Nitrous oxide emission budgets and land-use-driven hotspots for organic soils in Europe

2014

Organic soils are a main source of direct emissions of nitrous oxide (N2O), an important greenhouse gas (GHG). Observed N2O emissions from organic soils are highly variable in space and time, which causes high uncertainties in national emission inventories. Those uncertainties could be reduced when relating the upscaling process to a priori-identified key drivers by using available N2O observations from plot scale in empirical approaches. We used the empirical fuzzy modelling approach MODE to identify main drivers for N2O and utilize them to predict the spatial emission pattern of European organic soils. We conducted a meta-study with a total amount of 659 annual N2O measurements, which was…

N-DEPOSITION1171 GeosciencesPeat010504 meteorology & atmospheric sciencesGRASSLANDWater tableeducationlcsh:LifeGreenhouse gas inventorySoil scienceAtmospheric sciences01 natural sciencesGrasslandSoil pHlcsh:QH540-549.5media_common.cataloged_instanceAGRICULTURAL SOILSEuropean unionEcology Evolution Behavior and Systematics1172 Environmental sciences0105 earth and related environmental sciencesEarth-Surface Processesmedia_commongeographyPOLICY SUPPORT4112 Forestrygeography.geographical_feature_categoryCH4lcsh:QE1-996.504 agricultural and veterinary sciences15. Life on landWATER-TABLEPEAT SOILSlcsh:Geologylcsh:QH501-53113. Climate actionGreenhouse gasSoil waterNORTHERN PEATLANDS040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceCO2lcsh:EcologyN2O FLUXES
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Nitrous oxide emission by agricultural soils: a review of spatial and temporal variability for mitigation

2012

CT3 ; EnjS4; International audience; This short review deals with soils as an important source of the greenhouse gas N2O. The production and consumption of N2O in soils mainly involve biotic processes: the anaerobic process of denitrification and the aerobic process of nitrification. The factors that significantly influence agricultural N2O emissions mainly concern the agricultural practices (N application rate, crop type, fertilizer type) and soil conditions (soil moisture, soil organic C content, soil pH and texture). Large variability of N2O fluxes is known to occur both at different spatial and temporal scales. Currently new techniques could help to improve the capture of the spatial va…

N2O fluxesSoil biodiversity[SDV]Life Sciences [q-bio]Soil Scienceagricultural practicesSoil science010501 environmental sciencesengineering.material01 natural sciencesSoil pH[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyWater content0105 earth and related environmental sciences2. Zero hunger04 agricultural and veterinary sciences15. Life on land6. Clean water13. Climate actionfertilizationgreenhouse gasGreenhouse gasSoil water[SDE]Environmental Sciences040103 agronomy & agricultureengineering0401 agriculture forestry and fisheriesEnvironmental scienceSpatial variabilityNitrificationFertilizersoil-atmosphere interface
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Using the standard solar model to constrain solar composition and nuclear reaction S factors

2013

While standard solar model (SSM) predictions depend on approximately 20 input parameters, SSM neutrino flux predictions are strongly correlated with a single model output parameter, the core temperature T-c. Consequently, one can extract physics from solar neutrino flux measurements while minimizing the consequences of SSM uncertainties, by studying flux ratios with appropriate power-law weightings tuned to cancel this T-c dependence. We reexamine an idea for constraining the primordial C + N content of the solar core from a ratio of CN-cycle O-15 to pp-chain B-8 neutrino fluxes, showing that non-nuclear SSM uncertainties in the ratio are small and effectively governed by a single parameter…

Nuclear reactionPhysicsNuclear and High Energy PhysicsStandard solar model010308 nuclear & particles physicsSolar neutrinoHigh Energy Physics::PhenomenologySunNeutrino fluxes01 natural sciences7. Clean energyUncertaintiesPartícules (Física nuclear)Nuclear physicsSolar core13. Climate actionProduct (mathematics)0103 physical sciencesContent (measure theory)Abundance problemNeutrinoDiffusion (business)010303 astronomy & astrophysicsChemical-composition
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