Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
35
datasets available to search
ShareScore release 0.9.0
Dataset results
35 results for “atmospheric transport”
Water "Pump" in the Atmosphere of Mars: Modeling Vertical Transport to the Thermosphere
<p>Recent studies link the observed hydrogen escape in the Martian thermosphere to the water of lower atmospheric origin. However, the cold mesosphere hinders penetration of vapor into the upper atmosphere. We present results of simulations with the Max Planck Institute general circulation model (MPI-MGCM) implementing a state-of-the-art hydrological cycle scheme. The simulations reveal a seasonal water ``pump” mechanism responsible for the upward transport of vapor. It takes place in high latitudes of the southern hemisphere at perihelion, when the upward branch of the meridional circulation is particular strong. A combination of the mean vertical flux with variations induced by solar tides facilitates penetration of water across the “bottleneck” at approximately 60 km. The meridional circulation then transports water across the globe to the northern hemisphere. Since the intensity of the meridional cell is tightly controlled by airborne dust, the water abundance in the thermosphere strongly increases during dust storms.</p>
Widespread pesticide distribution in European atmosphere questions their degradability in air - Pan-European Study of Pesticides long-range Atmospheric Transport - Full Dataset
<p>Here are the dataset, used and presented in the 2024 article entitled "Widespread pesticide distribution in European atmosphere questions their degradability in air" in Environmental Science and Technology</p> <p>For related questions:</p> <p>please contact authors Ludovic Mayer (ludovic.mayer@recetox.muni.cz)</p> <p>or corresponding authors: Gerhard Lammel (gerhard.lammel@recetox.muni.cz) or Céline Degrendele (celine.degrendele@recetox.muni.cz)</p>
Flexpart input/output data for "An optimisation method to improve modelling of wet deposition in atmospheric transport models: applied to FLEXPART v10.4"
<p>Flexpart input and output data for the manuscript/paper "An optimisation method to improve modelling of wet deposition in atmospheric transport models: applied to FLEXPART v10.4" by S. Van Leuven, P. De Meutter, J. Camps, P. Termonia and A. Delcloo.</p>
Data for manuscript "Wildfire Emissions Transport Pathways in the Global Atmosphere"
<p>Model results and emission dataset that was used to produce the data presented in the manuscript by Daskalakis et al., submitted in GRL in May 2023.</p>
Atmospheric transport is a major pathway of microplastics to remote regions
Open the record for dataset details and reuse information.
Test result data for idealised numerical atmospheric transport
<p>The results of idealised numerical tests of atmospheric flows performed with OpenFOAM.</p>
Martian Dust Storms and Gravity Waves: Disentangling Water Transport to the Upper Atmosphere
<p>The data for JGR:Planets article figures.</p>
Advanced methods for uncertainty assessment and global sensitivity analysis of a Eulerian atmospheric chemistry transport model
<p>Atmospheric chemistry transport models (ACTMs) are extensively used to provide scientific support for the development of policies to mitigate against the detrimental effects of air pollution on human health and ecosystems. Therefore, it is essential to quantitatively assess the level of model uncertainty and to identify the model input parameters that contribute the most to the uncertainty. For complex process-based models, such as ACTMs, uncertainty and global sensitivity analyses are still challenging and are often limited by computational constraints due to the requirement of a large number of model runs. In this work, we demonstrate an emulator-based approach to uncertainty quantification and variance-based sensitivity analysis for the EMEP4UK model (regional application of the European Monitoring and Evaluation Programme Meteorological Synthesizing Centre-West). A separate Gaussian process emulator was used to estimate model predictions at unsampled points in the space of the uncertain model inputs for every modelled grid cell. The training points for the emulator were chosen using an optimised Latin hypercube sampling design. The uncertainties in surface concentrations of O<sub>3</sub>, NO<sub>2</sub>, and PM<sub>2.5</sub> were propagated from the uncertainties in the anthropogenic emissions of NO<sub>x</sub>, SO<sub>2</sub>, NH<sub>3</sub>, VOC, and primary PM<sub>2.5</sub> reported by the UK National Atmospheric Emissions Inventory. The results of the EMEP4UK uncertainty analysis for the annually averaged model predictions indicate that modelled surface concentrations of O<sub>3</sub>, NO<sub>2</sub>, and PM<sub>2.5</sub> have the highest level of uncertainty in the grid cells comprising urban areas (up to ± 7%, ± 9%, and ± 9% respectively). The uncertainty in the surface concentrations of O<sub>3 </sub>and NO<sub>2</sub> were dominated by uncertainties in NO<sub>x</sub> emissions combined from non-dominant sectors (i.e. all sectors excluding energy production and road transport) and shipping emissions. Additionally, uncertainty in O<sub>3</sub> was driven by uncertainty VOC emissions combined from sectors excluding solvent use. Uncertainties in the modelled PM<sub>2.5</sub> concentrations were mainly driven by uncertainties in primary PM<sub>2.5</sub> emissions and NH<sub>3</sub> emissions from the agricultural sector. Uncertainty and sensitivity analyses were also performed for five selected grid sells for monthly averaged model predictions to illustrate the seasonal change in the magnitude of uncertainty and change in the contribution of different model inputs to the overall uncertainty. Our study demonstrates the viability of a Gaussian process emulator-based approach for uncertainty and global sensitivity analyses, which can be applied to other ACTMs. Conducting these analyses helps to increase the confidence in model predictions. Additionally, the emulators created for these analyses can be used to predict the ACTM response for any other combination of perturbed input emissions within the ranges set for the original Latin hypercube sampling design without the need to re-run the ACTM, thus allowing fast exploratory assessments at significantly reduced computational costs.</p> <p>The upload contains the uncertainty and sensitivity data together with the analysis scripts.</p>
Simulations of Typhoon In-Fa (2106) and air-sea interactions using a coupled ocean-atmosphere-wave-sediment transport (COAWST) modeling system
<p>The Observation data supporting the result of our manucript submitted to JGR-Ocean.</p> <p> </p>
Proteinaceous Matter in PM2.5 in a Hilly Basin area, Southwestern China: Decreased Importance in Long-Range Transport and Atmospheric Degradation
<p>Data</p>
Data from: How atmospheric chemistry and transport drive surface variability of N2O and CFC-11
Open the record for dataset details and reuse information.
Sensitivity of atmospheric river vapor transport and precipitation to uniform sea-surface temperature increases
<p>This is the companion data for the manuscript of the same title, originally submitted to JGR: Atmospheres on 02/08/2020 and resubmitted on 06/30/2020. Specifically, this dataset corresponds to the resubmitted version. Note that the only change is the addition of code example to generate kernel density estimates of Hadley cell edge, subtropical jet, and eddy-driven jet positions. </p> <p><strong>modelParameters: </strong>this folder contains the scripts I ran on NERSC Cori in 2019 to initialize the CESM2.0/CAM5 model runs. </p> <ul> <li>qobs_script_newcase.sh: creates all cases, for the Baseline as well as the +xK SST runs</li> <li>docn_comp_mod.F90: original CAM5 aquaplanet SST distributions; "QOBS" is used for my "Baseline" experiments</li> <li>plusxK_docn_comp_mod.F90: modified SST distributions, for x=(2,4,6); these are simply uniform additions to the QOBS SST distributions</li> <li>Macros.make & env_mach_specific.xml: configuration files to run CESM2.0 on Cori at the time</li> <li>user_nl_cam: namelist for CAM5; specifies some model run parameters as well as output variables.</li> </ul> <p><strong>detectionParameters: </strong>this folder contains the scripts I ran on NERSC Cori in 2019 to detect tropical cyclones and atmospheric rivers. Use this code for reference purposes only (i.e., to see which parameters were used to detect ARs or TCs). It will not run as-is.</p> <p><strong>All other subfolders </strong>provide working examples of code used to generate figures (all in Jupyter notebooks) for the manuscript; folder names are descriptive. </p> <p>Unfortunately, model output was large (~12 TB). Hence, I only provide mean data, used directly to generate figures, in this repository. All model output are archived on tape at NERSC. </p> <p>For more details, refer to the manuscript, or contact me (eelliott@ucdavis.edu). </p>
Supporting Data for Feldl et al. 2017: Coupled high-latitude climate feedbacks and their impact on atmospheric heat transport
<p>This dataset includes GFDL AM2.1 model output used to create figures in the following papers: Feldl, N., S. Bordoni, and T. M. Merlis, 2017: Coupled high-latitude climate feedbacks and their Impact on atmospheric heat transport. <em>J. Climate</em>, 30, 189–201, https://doi.org/10.1175/JCLI-D-16-0324.1; and Feldl, N., B. T. Anderson, and S. Bordoni, 2017: Atmospheric eddies mediate lapse rate feedback and Arctic amplification. <em>J. Climate</em>, 30, 9213–9224, https://doi.org/10.1175/JCLI-D-16-0706.1. Here we provide monthly climatologies averaged over the last thirty years of each experiment.</p>
The role of atmospheric transport for El-Nino Southern Oscillation teleconnections
<p>This archive includes the data used for the manuscript "The role of atmospheric transport for El Nino Southern Oscillation teleconnections" submitted to Geophysical Research Letter.</p> <p>All data is available as monthly means. "anomaly"-files include the anomalies between the tagged and untagged air as discussed in the manuscript (see Methods), for specific humidity (<em>hum</em>), potential temperature (<em>theta</em>) and total energy (<em>energy</em>). The mass fraction of the tagged to all the particles is included in <em>mass_frac</em>. The temporal change in total energy (<em>ediv</em>) is available both as 2d and 3d (<em>vertical</em>) for both <em>tagged </em>and <em>untagged </em>particles. Temporal change in height (<em>dz</em>) and potential temperature (<em>dtheta</em>) is included for the tagged air.</p> <p>The data for the Sensitivity study on the selection of timelength is available in the <em>timelength</em>.</p> <p>The data is included for following seasons: <em>DJF </em>(December-January-February), <em>MAM </em>(March-April-May), <em>JJA </em>(June-July-August), <em>SON</em> (September-October-November).</p>
Martian Dust Storms and Gravity Waves: Disentangling Water Transport to the Upper Atmosphere
<p>The data for GRL article figures.</p>
ScienceDex guides
Understand access before you commit
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.