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87 results for “Heat flux”
Estimates of geothermal heat flux across Antarctica
<p>Estimates of heat flux with associated uncertainties across Antarctica from three Machine Learning models</p>
Data for 'Surface heat fluxes drive a two-phase response in Southern Ocean mode water stratification'
<p>The files contained here are the output/sensitivity files of four adjoint sensitivity experiments in ECCOv4r2 that are combined to create the sensitivity of large-scale stratification to surface heat flux. (-f/Delta z) * (-alpha * (ADJqnet_t1 - ADJqnet_t2) + beta * (ADJqnet_s1 - ADJqnet_s2)) (Equation 7 in paper, where C = net heat flux). The files contained here are the output/sensitivity files for 6 years at 14 day time steps.</p> <p>ADJqnet_t1: (d J_1(theta_u)/ d qnet), Sensitivity of potential temperature over the upper depths to net heat flux.</p> <p>ADJqnet_t2: (d J_2(theta_l)/ d qnet), Sensitivity of potential temperature over the lower depths to net heat flux.</p> <p>ADJqnet_s1: (d J_3(salt_u)/ d qnet), Sensitivity of salinity over the upper depths to net heat flux.</p> <p>ADJqnet_s2: (d J_4(salt_l)/ d qnet), Sensitivity of salinity over the lower depths to net heat flux.</p> <p> </p> <p>Paper Abstract: Subantarctic mode waters (SAMW) have low stratification and are formed through subduction from thick winter mixed layers in the Southern Ocean. To investigate how external forcing affects the stratification in mode water formation regions in the Southern Ocean, we conduct a set of adjoint sensitivity experiments. The objective function is the annual-average stratification over the mode water formation region, which is evaluated from potential temperature and salinity adjoint sensitivity experiments. The analysis of impacts, from the product of sensitivities and forcing variability, identifies the separate effects of the wind stress, heat flux, and freshwater flux, revealing that the dominant control on stratification is from surface heat fluxes, as well as a smaller effect from zonal wind stress. The adjoint sensitivities of stratification to surface heat flux reveal a surprising change in sign over 2 years lead time. Surface cooling leads to the expected initial local decrease in stratification. However, there is a delayed response to surface cooling leading to an increase in stratification. This delayed response in stratification involves atmospheric damping of the surface thermal contribution, so that eventually the oppositely-signed advective haline contribution dominates. This two-phase response of stratification is found to hold over mode water formation regions in the South Indian and Southeast Pacific sectors of the Southern Ocean, where there are strong advective flows linked to the Antarctic Circumpolar Current.</p>
Zero Heat Flux Thermometry System Comparison Trial
ClinicalTrials.gov study NCT01670760. IPD Sharing: Not stated. Countries: 1. Publications: 11.
Dataset to accompany: Heat flux in low mass flux horizontal cryogenic flow
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Data for: A temporal–spatial framework for efficient heat flux monitoring of transient boiling
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Data for: Nonintrusive heat flux quantification using acoustic emissions during pool boiling
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Eddy flux measurements and transfer velocities of momentum, sensible heat, water vapor, and sulfur dioxide at Scripps Pier
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Heat flux results (d137b)
<p>Heat flux results from room d137b (University of Zagreb, Faculty of Civil Engineering)</p>
Supporting data for climate-driven tree mortality and fuel aridity increase wildfire's potential sensible heat flux
<p><span>Wildfire is capable of rapidly releasing the energy stored in forests, with the amount of water in live and dead biomass acting as a regulator on the amount and rate of energy release. Here we used temperature and fuel moisture data to examine climate-driven changes in fuel moisture content over the past three decades. We then calculated the changes in energy release (energy release component and fire radiant energy) for two forests that experienced drought and bark beetle mortality and were subsequently burned by wildfires. We found that mortality transitioned substantial amounts of biomass from live to dead pools. Coupled with climate-driven decreases in fuel moisture content, this change in fuel availability increased the amount of energy that could be released during wildfire in these forests. Our results demonstrate that climate-driven tree mortality and fuel aridity may be increasing the amount of energy that is released during wildfire.</span></p>
A benchmark dataset of diurnal- and seasonal-scale radiation, heat and CO2 fluxes in a typical East Asian monsoon region
<p>A benchmark dataset include 30-min meteorology and eddy flux variables at four sites with two typical surface types (i.e., SX-cropland, DT-cropland, XZ-suburb, and DS-suburb) in the Yangtze River Delta of China.<br> SX-cropland: 15 Jul 2015–24 Apr 2019<br> DT-cropland: 1 Dec 2014–30 Nov 2017<br> XZ-suburb: 27 Mar 2014–22 Jan 2017<br> DS-suburb: 16 Apr 2011–1 Jan 2019</p>
Data Archive of 'Hadley Cell Edge Modulates the Role of Ekman Heat Flux in a Future Climate'
<p>Output data used to create figures in ' Hadley Cell Edge Modulates the Role of Ekman Heat Flux in a Future Climate ' is archived. Original data sources from which the output data are generated are Reanalysis Products (ERA5, JRA55, NCEP/NCAR reanalysis) and 8 CMIP6 model simulations.</p>
An Observational and Modeling Study of Inverse-Temperature Layer and Water Surface Heat Flux
<p>The data are used for an observational and modeling analysis of water temperature distribution and water surface energy budget. </p>
Enhancing Retrievals of Air–Sea Heat Fluxes from AMSR2 Microwave Observations Based on Deep Learning
<p><span>The primary generated products are </span><span>2m</span><span> air temperature (Ta)</span><span> and</span><span> specific humidity (Qa), as well as the resulting fluxes of sensible heat (SHF)</span><span> and </span><span>latent heat (LHF). The data records for Ta</span><span> </span><span>and Qa are generated from </span><span>sea surface temperature (T</span><span>s</span><span>), column water vapour</span><span> (WV),</span><span> </span><span>wind speed (WS)</span><span>, column cloud liquid water</span><span> (CLW) </span><span>and rain rate</span><span> (RR)</span><span> data from JAXA’s Advanced Microwave Scanning Radiometer 2 (AMSR2) onboard the Global Change Observation Mission 1st-Water (GCOM-W1)</span><span> </span><span>spacecraft</span><span>.</span><span> The </span><span>model</span><span> for determining Ta, Qa, and U10 is the Matrices-Points Fusion Network (MPFNet). The resulting SHF</span><span> and</span><span> LHF fluxes are calculated from these fields of Ta, Qa, </span><span>WS</span><span>, and </span><span>Ts</span><span> using the Coupled Ocean-Atmosphere Response Experiment (COARE) 3.</span><span>6</span><span> flux algorithm</span><span>. </span><span>The </span><span>daily </span><span>MPFNet dataset is stored in </span><span>“nc”</span><span> format on 0.25°</span><span> </span><span><span> </span>0.25° gridded maps and span from July 2012 to December 2023.</span></p>
Datasets concerning "Variations of Heat Flux and Elastic Thickness of Mercury from Thermal Evolution Modeling"
<p><strong>Datasets concerning timeseries from average temperature profiles:</strong></p> <p>Average_profiles.rar</p> <p>Tables containing the time evolution of the elastic lithospheric thickness calculated with the average mantle temperature profile.<br>Calculations have been done with dry and wet rheologies (crust and mantle), using the conversion package from :<br>"Adrien Broquet. AB-Ares/Te_HF_Conversion: 0.2.3 (Version 0.2.3). Zenodo. <a href="http://doi.org/10.5281/zenodo.4973893" rel="nofollow">http://doi.org/10.5281/zenodo.4973893</a>"<br>In total 32 tables, 16 for each rheology.</p> <p> </p> <p><strong>Datasets concerning timeseries from localized temperature profiles:</strong></p> <div> <div>Localized_profiles.rar</div> </div> <p>Tables containing the time evolution of the elastic lithospheric thickness calculated with the respective localized mantle temperature profile of each investigated point of interest (Caloris Basin, Discovery Rupes, Goossens et al., 2022 points 1-4).<br>Calculations have been done with dry and wet rheologies (crust and mantle), using the conversion package from :<br>"Adrien Broquet. AB-Ares/Te_HF_Conversion: 0.2.3 (Version 0.2.3). Zenodo. <a href="http://doi.org/10.5281/zenodo.4973893" rel="nofollow">http://doi.org/10.5281/zenodo.4973893</a>"<br>In total 32 tables, 16 for each rheology.</p> <p> </p> <p><strong>Datasets concerning maps of CMB heat flux at present day:</strong></p> <p>LatLon_Maps.rar</p> <p>Tables containing present day output of the CMB heat flux for each case investigated<br>Format in each file is : <br>Longitude | Latitude | CMB heat flux <br>1 degree of resolution<br>A python code is provided to visualize easily the data (Map_visualization.py)</p> <div> </div> <div> </div> <div>Sh_Maps.rar</div> <div> </div> <div>Tables containing present day output of the CMB heat flux for each case investigated under the form of spherical harmonics coeffcients, up to the spherical harmonic degree 59.</div> <div>A python code is provided in order to plot easily the spherical harmonics data (PlottingSH_maps.py).</div> <div> </div> <div> </div> <p> </p>
Code and data for "Sensitivity of Northern Hemisphere climate to ice-ocean interface heat flux parameterizations"
<p>This repository provides the source code and modeled data for three different ice-ocean heat flux<br> parameterizations of a 1-D idealized model, as well as 3-D climate models including CICE,<br> MPIOM and COSMOS, which are used in a GMD manuscript called "Sensitivity of Northern Hemisphere climate to ice-ocean interface heat flux parameterizations". The NCL-based scripts for plotting the figures are also provided.</p> <p><br> The file all.tar.gz consists of 4 folders as the following:</p> <p>1. 1-D<br> In the 1-D folder one can find the matlab source code for the 1-D idealized model with main.m being the main script and the others sub-scripts for calculating seasonal changes of different forcings, involving the surface albedo (albedo.m), shortwave fluxes (shortwave.m) and all other kinds of fluxes (otherfluxes.m).</p> <p>2. code<br> The code folder provides the source code of the three models used in our study: CICE, MPIOM and COSMOS.</p> <p>The most important code in terms of the ice-ocean heat flux in CICE can be found at code/cice/source/ice_therm_vertical.F90. The switch of the options of the three parameterizations can be achieved by changing the parameter "oceanic_heat" (1 for icebath, 2 for 2eq and 3 for 3eq) in the namelist when running the model.</p> <p>The mpiom folder contains the three different set of MPIOM source code for the three ice-ocean heat flux parameterizations respectively.</p> <p>In cosmos, one could find 4 sub-folders, with the folder echam5 containing the source code for the atmosphere module ECHAM5, and the other 3 folders containing the MPIOM source code incorporating with the three different ice-ocean heat flux parameterizations, similar as the mpiom folder.</p> <p>3. data<br> This folder provides the simulated output from the three models: CICE, MPIOM and COSMOS. Each model folder contains three sub-folders called 2eq, 3eq and icebath, representing the modelled data for the 2eq, 3eq and icebath parameterizations respectively. For CICE, we upload the modeled results of the last 10 years. For MPIOM and COSMOS, as the original data set are too large, here we upload the climatology of the data from the last 100 simulation years. Note that in cosmos, there are some additional variables which are listed seperately, namely the AMOC (amoc.nc), the sea surface pressure (slp.nc) as well as the surface temperature (tsurf.nc). reg.nc contains ocean temperature and salinity which have been interpolated onto a 1x1 regular grid.</p> <p>4. plot_figures<br> This folder gives the scripts based on NCL to plot the figures in the manuscript, with the *.ncl files being the plotting scripts and the *.eps being the figures. <br> All the code, data, scripts can be used by anyone who has interest.</p> <p> </p>
Correlation, Accuracy, Precision and Practicability of Zero Heat Flux Temperature Monitoring
ClinicalTrials.gov study NCT02031159. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Zero Heat Flux Temp Monitor on Discharge Hypothermia Among Trauma Patients (RUZIT Trial)
ClinicalTrials.gov study NCT03313258. IPD Sharing: UNDECIDED. Countries: 1. Publications: 16.
Supporting data for climate-driven tree mortality and fuel aridity increase wildfire's potential sensible heat flux
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CYGNSS Level 2 Ocean Surface Heat Flux Climate Data Record Version 1.1
This dataset contains the first release, Version 1.1, of the CYGNSS Level 2 Ocean Surface Heat Flux Climate Data Record (CDR), which provides the time-tagged and geolocated ocean surface heat flux parameters with 25x25 kilometer footprint resolution with 1-2 month latency from the Delay Doppler Mapping Instrument (DDMI) aboard the CYGNSS satellite constellation. The Cyclone Global Navigation Satellite System (CYGNSS) is a NASA Earth System Science Pathfinder Mission designed to collect the first frequent space-based measurements of surface wind speeds in the inner core of tropical cyclones. The Coupled Ocean-Atmosphere Response Experiment (COARE) version 3.5 algorithm combines CYGNSS L2 CDR v1.1 ocean surface wind speed estimates with the auxiliary parameters provided by the NASA Modern-Era Retrospective Analysis for Research and Applications Version 2 (MERRA-2) to produce latent and sensible heat fluxes and their respective transfer coefficients. More information on how the data is produced and validated can be found in the dataset user guide (see Documentation tab). More information on the CYGNSS mission, spacecraft, instrumentation and related datasets is available here: https://podaac.jpl.nasa.gov/CYGNSS. Additional information on the CYGNSS L2 CDR v1.1 wind speed dataset is available here: https://doi.org/10.5067/CYGNS-L2C11.
CYGNSS Level 2 Ocean Surface Heat Flux Science Data Record Version 3.2
The CYGNSS level 2 ocean surface heat flux science data record version 3.2 dataset is provided as a service to the oceanographic and meteorological research communities on behalf of the CYGNSS Science Team in direct collaboration with the Cyclone Global Navigation Satellite System (CYGNSS) Mission. CYGNSS was launched on 15 December 2016, it is a NASA Earth System Science Pathfinder Mission that was launched with the purpose of collecting the first frequent space‐based measurements of surface wind speeds in the inner core of tropical cyclones. Originally made up of a constellation of eight micro-satellites, the observatories provide nearly gap-free Earth coverage using an orbital inclination of approximately 35° from the equator, with a mean (i.e., average) revisit time of seven hours and a median revisit time of three hours. <br><br>This dataset provides time-tagged and geolocated ocean surface heat flux parameters with 25x25 kilometer footprint resolution from the Delay Doppler Mapping Instrument (DDMI) aboard the CYGNSS satellite constellation. The reported sample locations are determined by the specular points corresponding to the Delay Doppler Maps (DDMs). Version 3.2 uses CYGNSS Level 2 (L2) Science Data Record (SDR) Version 3.2 surface wind speeds and ECMWF Reanalysis, Version 5 (ERA5). The Coupled Ocean-Atmosphere Response Experiment (COARE) algorithm is what is used in this dataset to estimate the latent and sensible heat fluxes and their respective transfer coefficients. While COARE's initial intentions were for low to moderate wind speeds, the version used for this product, COARE 3.5, has been verified with direct in situ flux measurements for wind speeds up to 25 m/s. As CYGNSS does not provide air/sea temperature, humidity, surface pressure or density, the producer of this dataset obtains these values from this dataset obtains these values from ERA5. This dataset is made available from 1 August 2018 to present with an approximate 1 week latency in the netCDF-4 formatted data files, where each file contains data within a 24-hour UTC period from a combination of up to 8 unique CYGNSS spacecraft. More information on CYGNSS can be found on the CYGNSS mission page.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.