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97 results for “energy flux”
Agroecosystem energy fluxes in Austria 1830-2010
<p>Agroecosystem energy fluxes in Austria 1830-2010 - Online database<br> <br> Projects<br> "Hidden Emissions of Forest Transitions", European Research Council ERC-2017-STG 757995<br> "Sustainable Farm Systems", Social Sciences and Humanities Research Council Partnership Grant 895-2011-1020<br> <br> Contact<br> Simone Gingrich: simone.gingrich@boku.ac.at<br> Institute of Social Ecology, Department of Economics and Social Sciences (WiSo), University of Natural Resources & Life Sciences, Vienna (BOKU)<br> Schottenfeldgasse 29, 1070 Vienna, Austria<br> <br> URL<br> http://www.wiso.boku.ac.at/sec/data-download/<br> <br> Quote as<br> Gingrich, S., Krausmann, F., 2018. At the core of the socio-ecological transition: Agroecosystem energy fluxes in Austria 1830–2010. Science of The Total Environment 645, 119–129. https://doi.org/10.1016/j.scitotenv.2018.07.074<br> <br> For definitions and accounting procedures, see publication</p>
data for "Observations of significant ion energy outflows associated with cusp ion outflows and the role of Poynting flux as an energy source"
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Water, energy and carbon fluxes and ancillary meteorological and remote sensing measurements at Encanto Golf Course, Phoenix, Arizona during 2019-2020
<p>Water, energy and carbon fluxes as wells as ancillary meteorological and NDVI measurements from the Encanto Park Golf Course in Phoenix, AZ. Measurements were done from March 2019 to March 2020.</p> <p>The database includes three files:</p> <ul> <li>Encanto_AZMET.xlsx, that include hourly values and daily average meteorological variables (T<sub>air</sub>, RH, VPD, R<sub>s</sub>, T<sub>soil</sub>, etc.) obtained from the Phoenix Encanto meteorological station of The Arizona Meteorological Network (AZMET). Please refer to https://cals.arizona.edu/AZMET/15.htm and the spreadsheet ReadMe within the excel file for additional information.</li> <li>Encanto_EddyCovariance.xlsx includes the half-hour water, energy and carbon fluxes obtained using an eddy covariance (EC) system. The file also includes half-hour ancillary meteorological and soil measurements obtained from the EC tower. Water, energy and carbon fluxes were processed using the software EddyPro 7.0. For more information, please refer to Vivoni <em>et al</em> (2020). Note: This new version includes Eddy Covariance and Met data up to July, 2020.</li> <li>Encanto_NDVI.xlsx includes the average NDVI for the net radiometer footprint installed in the EC tower. NDVI was obtained from 4-band PlanetScope scene images obtained from Planet website (www.planet.com). For more information, please refer to Vivoni <em>et al</em> (2020).</li> </ul> <p>The use of the datasets requires the citation of the next paper:</p> <ul> <li>Vivoni, E. R., Kindler, M., Wang, Z., and Perez-Ruiz, E. R. 2020.Abiotic Mechanisms Drive Enhanced Evaporative Losses under Urban Oasis Conditions . <em>Geophysical Research Letters</em>. 47: e2020GL090123. <a href="https://doi.org/10.1029/2020GL090123">https://doi.org/10.1029/2020GL090123</a></li> </ul>
Multi-level warming alters energy flux by nonlinear effects on soil nematode trophic groups in a mature forest
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Short-term Regulation of Energy and Macronutrient Balance: Impact of Energy Flux
ClinicalTrials.gov study NCT03361566. IPD Sharing: NO. Countries: 1. Publications: 1.
Data from: Linking size spectrum, energy flux and trophic multifunctionality in soil food webs of tropical land-use systems
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Aggregated filter-feeders govern the flux and stoichiometry of locally available energy and nutrients in rivers
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Evaluating water and energy fluxes across three distinct land cover types in a desert urban environment
Urbanization impacts surface energy and water balances across multiple spatial and temporal scales, which can be particularly important in desert cities where resources are limited. Urban climate observations are limited, especially over a variety of locations that represent urban land cover. To help address the lack of observations over different urban land cover types, a mobile eddy covariance tower (ECT) was deployed at three different locations in the Phoenix metropolitan area, representing a xeric landscape (drip irrigated palo verde trees with gravel), a parking lot, and a mesic landscape (sprinkler irrigated turf grass). In this project, data obtained from the mobile ECT deployments will be coupled with data from an eddy covariance tower managed by CAP LTER in the Maryvale suburb of Phoenix, Arizona. Data is processed to obtain energy and water fluxes, which are controlled by land surface characteristics, over the four distinct land cover types.
Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Spectral Flux from PREFIRE Satellite 1 R01
Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Spectral Flux from PREFIRE Satellite 1 (PREFIRE_SAT1_2B-FLX) contains surface emissivity derived from data collected by the PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE) aboard PREFIRE-SAT1. Dual CubeSats each carry a PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE), a push broom spectrometer with 63 channels measuring mid- and far-infrared (FIR) radiation from approximately 5 to 53 µm. Most polar emissions are in the FIR but have not been measured on a large scale. PREFIRE aims to fill knowledge gaps in the global energy budget by more accurately characterizing polar emissions. This information will then be assimilated into global circulation and other models to predict future conditions more accurately.PREFIRE_SAT1_2B-FLX contains spectral flux at the top of atmosphere for all available TIRS-PREFIRE channels as derived from PREFIRE Spectral Radiance (PREFIRE_SAT1_1B-RAD) data using an Optimal Estimation retrieval with inputs from the PREFIRE_SAT1_2B-MSK (cloud mask), PREFIRE_SAT1_AUX-MET (Auxiliary Meteorology), and PREFIRE_SAT1_AUX-SAT collections. PREFIRE_SAT1_2B-FLX also contains the top-of-atmosphere Outgoing Longwave Radiation (OLR) broadband flux. The primary purpose of this collection is to assess the radiative activities over the polar regions to better quantify the energy budget there.Science data retrieval started July 24, 2024 and is ongoing. Geographic coverage is global, with the greatest concentration of data in the polar regions. Within the orbital swath there are eight distinct tracks of data associated with the eight separate spatial scenes for each PREFIRE-TIRS. At the beginning of the mission, the approximate scene footprint sizes were 11.8 km x 34.8 km (cross-track x along-track), with gaps between each scene of approximately 24.2 km. The entire swath was ~264 km across. Note that the scene footprint and swath sizes quoted here are for the orbit altitude soon after launch. However, the footprint size will slowly become smaller as the orbit altitude decreases with time. This data has a temporal resolution of 0.707 seconds and is available in netCDF-4.The spectral flux data for the sister instrument aboard PREFIRE-SAT2 can be found in the PREFIRE_SAT2_2B-FLX collection.
Comparison of turbulent structures and energy fluxes over exposed and debris-covered glacier ice: Datasets
<p>This repository contains data of near surface data of turbulence conditions measured simultaneously over exposed ice and a 0.08 m thick supraglacial debris cover on Suldenferner, a small glacier in the Italian Alps. It is related to the following publication:</p> <p>Nicholson, L. and Stiperski, I. (2020) Comparison of turbulent structures and energy fluxes over exposed and debris-covered glacier ice. Journal of Glaciology.</p> <p><strong>The repository contains the following files</strong></p> <p>(1) Overview figure of the locations of the installed weather stations collecting data used in the analysis, and images of the eddy covariance installations </p> <ul> <li><strong>Filename:</strong> overview.tif</li> </ul> <p>(2) 30 minute average meteorological data from the automatic weather station (AWS) on the debris-covered glacier surface with ca. 0.09 m thick debris cover.</p> <ul> <li><strong>Filename:</strong> aws.csv</li> <li><strong>Location:</strong> 46.496 °N / 10.569 °E / ~2625 m</li> <li><strong>Time period:</strong> 11.08.2015 13:30 – 14.08.2015 21:00</li> <li><strong>Variables - unit:</strong> listed in variables&units.pdf</li> </ul> <p>(3) 5 minute data from the eddy covariance station on the clean ice glacier surface.</p> <ul> <li><strong>Filename:</strong> ecci.csv</li> <li><strong>Location:</strong> 46.498°N /10.560°E / ~ 2780 m</li> <li><strong>Time period:</strong> 11.08.2015 13:42 – 14.08.2015 20:57</li> <li><strong>Variables - unit:</strong> listed in variables&units.pdf</li> </ul> <p>(4) 5 minute data from the eddy covariance station on the debris-covered glacier surface with ca. 0.08 m thick debris cover.</p> <ul> <li><strong>Variables - unit:</strong> listed in variables&units.pdf</li> <li><strong>Location:</strong> 46.495 °N / 10.572 °E / ~ 2600 m</li> <li><strong>Time period:</strong> 11.08.2015 13:42 – 14.08.2015 20:57</li> <li><strong>Variables - unit:</strong> listed in variables&units.pdf</li> </ul> <p>(5) A list of the variables and units used in the datafiles.</p> <ul> <li><strong>Filename:</strong> variables&units.pdf</li> </ul> <p> </p> <p>The<strong> instrumentation locations</strong> can be seen in the overview figure. </p> <p>The <strong>automatic weather station </strong>consists of a Kipp and Zonen CNR1 4-way radiation sensor, a shielded Vaisala HMP45c temperature and relative humidity sensor, and a Young 05103 anemometer. 30-minute averages and standard deviations of variables were recorded by a Campbell C3000 datalogger. Temperature and relative humidity are also sampled at 30-minute intervals allowing the vapor pressure to be calculated at this interval. </p> <p>The <strong>eddy covariance</strong><strong> instrumentation</strong> was identical at both stations (ecci and ecdc) and consisted of two segmented masts drilled into the ice with sensors mounted at a height of 1.6 m on a cross arm spanning the vertical masts. A CSAT 3D sonic anemometer and KH20 hygrometer sampling data at a frequency of 20Hz were mounted parallel to the surface and facing obliquely across-glacier at a bearing of 255° so as to capture both up and downglacier winds. A shielded Vaisala HMP45 was installed on the EC mast to record 1-minute averages of air temperature, relative humidity and vapor pressure. Data were recorded using Campbell Scientific CR1000 data loggers with compact flash card storage modules. Power was provided by 60Ah deep cycle batteries connected to 20 W solar panels. </p> <p>The <strong>data provided</strong> here is gap-filled data. The eddy covariance station over debris-covered ice was installed on 10 August 2015, and the one over clean ice was installed on 11 August 2015. At ecdc, a faulty solar panel regulator resulted in this station losing power on 15 August. At ecci two instrument failures occurred; the Vaisala instrument on the afternoon of 12 August and the KH20 at the end of 14 August. Air pressure was not recorded at any of the three stations. Missing data was filled on the basis of multiple regression transformation of data measured at nearby stations, as described fully in the publication. Pressure data were filled in with data from the nearby Madritsch weather station, operated by the Autonomous Province of Bozen. Missing temperature and vapor pressure data spanning 12-14 August at the eddy station over clean ice was filled in with data from the glacier automatic weather station.</p> <p><strong>Thanks</strong> are due to the Gutgsell family at the Hintergrathütte for continued support of our research activities and (in alphabetical order) Michael Adamer, Federico Covi, Costanza del Gobbo, Lukas Hammerer, Irmgard Juen, Marius Massimo, Kristin Richter, Reto Stauffer and Anna Wirbel for assistance in the field. Permission to work on Suldenferner is granted by Stelvio National Park. This research was funded by the Austrian Science Fund Grant numbers V309, P28521 and T781-N32.</p> <p> </p>
Data from: Grazing effects on surface energy fluxes in a desert steppe on the Mongolian Plateau
Quantifying the surface energy fluxes of grazed and ungrazed steppes is essential to understand the roles of grasslands in local and global climate and in land use change. We used paired eddy-covariance towers to investigate the effects of grazing on energy balance (EB) components: net radiation (Rn), latent heat (LE), sensible heat (H), and soil heat (G) fluxes on adjacent grazed and ungrazed areas in a desert steppe of the Mongolian Plateau for a two-year period (2010-2012). Near 95% of Rn was partitioned as LE and H, whereas the contributions of G and other components of the EB were 5% at an annual scale. H dominated the energy partitioning and shared ~50% of Rn. When comparing the grazed and the ungrazed desert steppe, there was remarkably lower Rn and a lower H, but higher G at the grazed site than at the ungrazed site. Both reduced available energy (Rn˗G) and H through grazing indicated a "cooling effect" feedback onto the local climate. Grazing reduced the dry year LE but enhanced the wet year LE. Energy partitioning of LE/Rn was positively correlated with the canopy conductivity, leaf area index, and soil moisture. H/Rn was positively correlated with the vapor pressure deficit but negatively correlated with the soil moisture. Boosted regression tree results showed that LE/Rn was dominated by soil moisture in both years and at both sites, while grazing shifted the H/Rn domination from temperature to soil moisture in the wet year. Grazing not only caused a LE shift between the dry and the wet year, but also triggered a decrease in the H/Rn because of changes in vegetation and soil properties, indicating that the ungrazed area had a greater resistance while the grazed area had a greater sensitivity of EB components to the changing climate.
Data included in "Sea surface energy fluxes' response to the Quasi-Biweekly Oscillation: A case study in the South China Sea"
<p>Underway observed sea surface energy fluxes data in 2019 and 2021 over the summer South China Sea.</p>
Data from: A metabolic and body-size scaling framework for parasite within-host abundance, biomass, and energy flux
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Data from: Grazing effects on surface energy fluxes in a desert steppe on the Mongolian Plateau
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Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Spectral Flux from PREFIRE Satellite 2 R01
Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Spectral Flux from PREFIRE Satellite 2 (PREFIRE_SAT2_2B-FLX) contains surface emissivity derived from data collected by the PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE) aboard PREFIRE-SAT2. Dual CubeSats each carry a PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE), a push broom spectrometer with 63 channels measuring mid- and far-infrared (FIR) radiation from approximately 5 to 53 µm. Most polar emissions are in the FIR but have not been measured on a large scale. PREFIRE aims to fill knowledge gaps in the global energy budget by more accurately characterizing polar emissions. This information will then be assimilated into global circulation and other models to predict future conditions more accurately.PREFIRE_SAT2_2B-FLX contains spectral flux at the top of atmosphere for all available TIRS-PREFIRE channels as derived from PREFIRE Spectral Radiance (PREFIRE_SAT2_1B-RAD) data using an Optimal Estimation retrieval with inputs from the PREFIRE_SAT2_2B-MSK (cloud mask), PREFIRE_SAT2_AUX-MET (Auxiliary Meteorology), and PREFIRE_SAT2_AUX-SAT collections. PREFIRE_SAT2_2B-FLX also contains the top-of-atmosphere Outgoing Longwave Radiation (OLR) broadband flux. The primary purpose of this collection is to assess the radiative activities over the polar regions to better quantify the energy budget there.Science data retrieval started June 29, 2024 and is ongoing. Geographic coverage is global, with the greatest concentration of data in the polar regions. Within the orbital swath there are eight distinct tracks of data associated with the eight separate spatial scenes for each PREFIRE-TIRS. At the beginning of the mission, the approximate scene footprint sizes were 11.8 km x 34.8 km (cross-track x along-track), with gaps between each scene of approximately 24.2 km. The entire swath was ~264 km across. Note that the scene footprint and swath sizes quoted here are for the orbit altitude soon after launch. However, the footprint size will slowly become smaller as the orbit altitude decreases with time. This data has a temporal resolution of 0.707 seconds and is available in netCDF-4.The spectral flux data for the sister instrument aboard PREFIRE-SAT1 can be found in the PREFIRE_SAT1_2B-FLX collection.
BOREAS TF-06 SSA-YA Surface Energy Flux and Meteorological Data
The BOREAS TF-06 team collected surface energy flux and meteorology data at the SSA-YA site. The data characterize the energy flux and meteorological conditions at the site from 18-Jul to 20-Sep-1994. The data set does not contain any trace gas exchange measurements.
Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Spectral Flux from PREFIRE Satellite 1 COG R01
Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Spectral Flux from PREFIRE Satellite 1 COG (PREFIRE_SAT1_2B-FLX_COG) is derived from data collected by the PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE) aboard PREFIRE-SAT1. Dual CubeSats each carry a PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE), a push broom spectrometer with 63 channels measuring mid- and far-infrared (FIR) radiation from approximately 5 to 53 µm. Most polar emissions are in the FIR but have not been measured on a large scale. PREFIRE aims to fill knowledge gaps in the global energy budget by more accurately characterizing polar emissions. This information will then be assimilated into global circulation and other models to predict future conditions more accurately.PREFIRE_SAT1_2B-FLX_COG contains Cloud-Optimized GeoTIFF (COG) files that each contain a georeferenced rendering of derived outgoing longwave radiation (OLR) values. Those OLR data values are computed from a single granule of PREFIRE Spectral Radiance (PREFIRE_SAT1_1B-RAD) data, along with inputs from PREFIRE_SAT1_2B-MSK (cloud mask), PREFIRE_SAT1_AUX-MET, PREFIRE_SAT1_AUX-SAT, and PREFIRE_SAT1_2B-CLD. As part of the rendering process, mean derived OLR values are computed for a global grid of raster elements (each approximately 2.23 km in width), based on which raster elements each PREFIRE ground footprint overlaps. This procedure is done in order to better visualize the PREFIRE data despite substantial overlap of adjacent along-track ground footprints – but it is important to remember that the individual PREFIRE ground footprints are much bigger (by about 80x, in terms of area) than each of the GeoTIFF raster elements. These cloud-optimized GeoTIFF images may be viewed using many geographic information systems (GIS), such as the freely available QGIS.Science data retrieval started July 24, 2024 and is ongoing. Currently, the geographic coverage is for latitudes between approximately 60° to 84° in both polar regions, although future releases may include data for all latitudes equatorward of about 84°. Within the orbital swath there are eight distinct tracks of data associated with the eight separate spatial scenes for each TIRS-PREFIRE. At the beginning of the mission, the approximate scene footprint sizes were 11.8 km x 34.8 km (cross-track x along-track), with gaps between each scene of approximately 24.2 km. The entire swath was about 264 km across. Note that the scene footprint and swath sizes quoted here are for the orbit altitude soon after launch. However, the footprint and swath sizes will slowly become smaller as the orbit altitude decreases with time.Similar OLR GeoTIFF renderings for the sister instrument aboard PREFIRE-SAT2 can be found in the PREFIRE_SAT2_2B-FLX_COG collection.
Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Spectral Flux from PREFIRE Satellite 2 COG R01
Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Spectral Flux from PREFIRE Satellite 2 COG (PREFIRE_SAT2_2B-FLX_COG) is derived from data collected by the PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE) aboard PREFIRE-SAT2. Dual CubeSats each carry a PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE), a push broom spectrometer with 63 channels measuring mid- and far-infrared (FIR) radiation from approximately 5 to 53 µm. Most polar emissions are in the FIR but have not been measured on a large scale. PREFIRE aims to fill knowledge gaps in the global energy budget by more accurately characterizing polar emissions. This information will then be assimilated into global circulation and other models to predict future conditions more accurately.PREFIRE_SAT2_2B-FLX_COG contains Cloud-Optimized GeoTIFF (COG) files that each contain a georeferenced rendering of derived outgoing longwave radiation (OLR) values. Those OLR data values are computed from a single granule of PREFIRE Spectral Radiance (PREFIRE_SAT2_1B-RAD) data, along with inputs from PREFIRE_SAT2_2B-MSK (cloud mask), PREFIRE_SAT2_AUX-MET, PREFIRE_SAT2_AUX-SAT, and PREFIRE_SAT2_2B-CLD. As part of the rendering process, mean derived OLR values are computed for a global grid of raster elements (each approximately 2.23 km in width), based on which raster elements each PREFIRE ground footprint overlaps. This procedure is done in order to better visualize the PREFIRE data despite substantial overlap of adjacent along-track ground footprints – but it is important to remember that the individual PREFIRE ground footprints are much bigger (by about 80x, in terms of area) than each of the GeoTIFF raster elements. These cloud-optimized GeoTIFF images may be viewed using many geographic information systems (GIS), such as the freely available QGIS.Science data retrieval started June 29, 2024 and is ongoing. Currently, the geographic coverage is for latitudes between approximately 60° to 84° in both polar regions, although future releases may include data for all latitudes equatorward of about 84°. Within the orbital swath there are eight distinct tracks of data associated with the eight separate spatial scenes for each TIRS-PREFIRE. At the beginning of the mission, the approximate scene footprint sizes were 11.8 km x 34.8 km (cross-track x along-track), with gaps between each scene of approximately 24.2 km. The entire swath was about 264 km across. Note that the scene footprint and swath sizes quoted here are for the orbit altitude soon after launch. However, the footprint and swath sizes will slowly become smaller as the orbit altitude decreases with time.Similar OLR GeoTIFF renderings for the sister instrument aboard PREFIRE-SAT1 can be found in the PREFIRE_SAT1_2B-FLX_COG collection.
APOΕ4 lowers energy expenditure in females and impairs glucose oxidation by increasing flux through aerobic glycolysis
GEO Series GSE223719. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
The Energy Flux Study
ClinicalTrials.gov study NCT01736098. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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