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Dataset results
238 results for “Atmosphere modeling”
Pickled version of standard MARCS (2011) model atmospheres
<p>Only standard models (spherical and plane parallel) are included with 1.0 Solar mass and microturbulence of 2.0 km/s.</p> <p> </p>
Demo data and model weights for "Direct Observation of Atmospheric Turbulence with a Video-rate Wide-field Wavefront Sensor"
<p>Demo data and model weights for "Direct Observation of Atmospheric Turbulence with a Video-rate Wide-field Wavefront Sensor". For usage, please refer to https://github.com/freemercury/Widefield_wavefront_sensor.</p>
Spectral ANalog of Dwarfs (SAND) model atmospheres and Evolutionary Extension to SAND (SANDee) evolutionary models for low-mass stars and brown dwarfs
<p>Spectral ANalog of Dwarfs (SAND) is a new grid of model atmospheres for low-mass stars and brown dwarfs at a variety of chemical compositions, characteristic of various components of the Milky Way, including the galactic halo and globular clusters. The models were calculated using <strong>PHOENIX 15</strong></p> <p>A detailed description of SAND is available in RNAAS 2024 by Alvarado, Gerasimov, Burgasser, Brooks, Aganze and Theissen <a href="https://ui.adsabs.harvard.edu/abs/2024RNAAS...8..134A/abstract">[ADS]</a></p> <p>Evolutionary Extension to SAND (SANDee) is a new grid of evolutionary models that uses the SAND models for synthetic photometry and as atmosphere boundary conditions. SANDee is the first set of models that can reproduce the observed star/brown dwarf transition in globular clusters. SANDee models were calculated using <strong>MESA 23.05.1</strong></p> <p>A detailed description of SANDee is available in ApJ 2024 by Gerasimov, Bedin, Burgasser, Apai, Nardiello, Alvarado and Anderson <a href="https://ui.adsabs.harvard.edu/abs/2024arXiv240501634G/abstract">[ADS]</a></p> <p> </p> <p><strong>Directory structure:</strong></p> <pre><code>SAND.zip : SAND model atmospheres recommended : Subset of SAND atmospheres whose synthetic photometry maintains continuity as a function of temperature rest : The rest of SAND models (see notes on convergence below) SANDee.zip : SANDee evolutionary models BC : MESA atmosphere boundary condition tables for tau=100 at each chemistry MESA : MESA evolutionary models, organized first by chemistry, then by initial mass isogen.zip : Python script to generate model isochrones from SANDee and SAND models isogen.py : The script itself demo.ipynb : Jupyter notebook that demonstrates how the script can be used vega_bohlin_2004.dat : Standard spectrum of Vega for VEGAMAG photometry<br> Other *.dat : Transmission profiles for JWST filters used by the demo notebook custom.patch : Patch with author's changes to the MESA codebase HBL.mrt : Estimated true hydrogen-burning limits for each SAND/SANDee chemistry</code></pre>
On the increase of climate sensitivity and cloud feedback with warming in the Community Atmosphere Models
<p><strong>Citation:</strong> Zhu, J., & Poulsen, C. J. (2020). On the Increase of Climate Sensitivity and Cloud Feedback With Warming in the Community Atmosphere Models. <em>Geophysical Research Letters</em>, <em>47</em>(18), e2020GL089143. <a href="https://doi.org/10.1029/2020GL089143">https://doi.org/10.1029/2020GL089143</a></p> <p> </p> <p><strong>Upadated on July 3, 2024</strong>: add more timeseries of precipitation and energy fluxes for analysis in Bonan, Schneider, & Zhu (2024).</p> <p>David Bonan, Tapio Schneider, Jiang Zhu. Precipitation over a wide range of climates simulated with comprehensive GCMs. <em>ESS Open Archive .</em> April 25, 2024.<br><span>DOI: <a href="https://doi.org/10.22541/essoar.171405864.45942692/v1" target="_blank" rel="noopener noreferrer">10.22541/essoar.171405864.45942692/v1</a></span> </p>
Kilometre-scale regional climate model simulations of two atmospheric river case studies in West Antarctica
<p>Regional climate model simulations produced using the MetUM, HCLIM and Polar-WRF models at 1 km horizontal grid spacing. The data span two case studies in which an atmospheric river made landfall over the Amundsen Sea Embayment and Thwaites / Pine Island ice shelves. The first is a winter case (23-30 June 2020) and the second a summer case (3-9 February 2020). </p> <p>Data are gridded, in native model coordinates, and saved as netcdf.</p> <p>Data produced by:</p> <p>HCLIM: José Abraham Torres</p> <p>MetUM: Ella Gilbert</p> <p>Polar-WRF: Denys Pishniak</p> <p>Data were produced to support the analysis presented in Gilbert et al. (2024) [preprint] . The research was funded by the PolarRES project, which is funded under the EU's Horizon 2020 programme call H2020-LC-CLA-2018-2019-2020 under grant agreement 101003590. MetUM simulations were performed on the ARCHER2 UK National Supercomputer. </p>
Model simulation output for New Configuration for Impact of microphysics and convection schemes on the mean-state and variability of clouds and precipitation in the E3SM Atmosphere Model
<p>Simulation output from the new configuration model used in the manuscript Impact of microphysics and convection schemes on the mean-state and variability of clouds and precipitation in the E3SM Atmosphere Model</p>
Models and Data for "Approximate Atmospheric Scattering using PINNs"
Open the record for dataset details and reuse information.
Model Spectra for Morley et al. 2017 (Observing the Atmospheres of Known Temperate Earth-sized Planets with JWST)
<p>README</p> <p>This file contains the model spectra presented in Morley et al. 2017, Observing the Atmospheres of Known Temperate Earth-sized Planets with JWST. </p> <p>The models are organized as follows: </p> <p>##########################<br> ## Transmission spectra ##<br> ##########################</p> <p>transmission_spectra contains 4 folders:<br> alb0.0_massradiusrel includes models with Bond albedo=0.0, and planet masses assuming the Weiss & Marcy 2014 mass-radius relationship<br> alb0.3_massradiusrel includes models with Bond albedo=0.3, and planet masses assuming the Weiss & Marcy 2014 mass-radius relationship<br> alb0.0_measured_masses includes models with Bond albedo=0.0, and observed planet masses, as described in Morley et al. 2017<br> alb0.3_measured_masses includes models with Bond albedo=0.3, and observed planet masses, as described in Morley et al. 2017</p> <p>each file contains the wavelength and model transit depth from 0.3 to 250 microns, calculated at 1 cm-1 wavenumber resolution. </p> <p>The file name indicates the planet name, model surface pressure (in bar), Bond albedo, and the assumed composition (Earth-, Venus-, or<br> Titan-based compositions, calculated in chemical equilibrium at each layer of the model, as described in Morley et al. 2017). </p> <p>(e.g. trans_spect_massradiusrel_gj1132b_psurf0.1_alb0.0_chem_earth.p.txt is a model of GJ 1132b, assuming the Weiss/Marcy mass-radius relationship, with a surface pressure of 0.1 bar, Bond albedo of 0.0, and an Earth-based composition). </p> <p>##########################<br> ## Emission spectra ##<br> ##########################</p> <p>emission_spectra contains 4 folders:<br> alb0.0 includes models with Bond albedo=0.0<br> alb0.3 includes models with Bond albedo=0.3<br> alb0.7 includes models with Bond albedo=0.7<br> emission_spectra_dividestar includes models that have already been divided by a model stellar spectrum, for convenience. </p> <p><br> each file contains the wavelength and model thermal emission flux in W/m2/m from 0.3 to 250 microns, calculated at 1 cm-1 wavenumber resolution. </p> <p>The file name indicates the planet name, model surface pressure (in bar), Bond albedo, and the assumed composition (Earth-, Venus-, or<br> Titan-based compositions, calculated in chemical equilibrium at each layer of the model, as described in Morley et al. 2017). </p> <p>(e.g. gj1132b_psurf0.01_alb0.0_chem_earth.spec is a model of GJ 1132b with a surface pressure of 0.01 bar, Bond albedo of 0.0, and an Earth-based composition). </p> <p>The models in emission_spectra_dividestar instead contain the flux of the planet divided by the flux of the star. </p> <p> </p> <p>##########################<br> ## Eclipse Depths ##<br> ##########################</p> <p>eclipse_depths contains a file for each planet with calculated eclipse depths for each of the wide-band JWST MIRI filters (http://ircamera.as.arizona.edu/MIRI/pces.htm). </p> <p>(new version from Jan 29 2018 has fixed a bug in MIRI eclipse depths that affected the longest wavelength filter for GJ 1132b and LHS 1140b only). </p>
OpenFOAM test result data accompanying 'Numerical representation of mountains in atmospheric models'
<p>OpenFOAM test result data accompanying the PhD thesis, 'Numerical representation of mountains in atmospheric models'</p>
Data used in "Seasonality of Intraseasonal Variability in CMIP5 and Nonhydrostatic Atmospheric Global Models" by Nakano and Kikuchi (2019) submitted to GRL
<p>PCs time series and NICAM-AMIP 2.5 degree gridded data used in Nakano and Kikuchi (2019) submitted to GRL.</p>
Data for the manuscript: TOWARDS AN INTEGRATED SOIL-PLANT-ATMOSPHERE MODELING ENVIRONMENT: IMPLEMENTATION OF A DYNAMIC PLANT UPTAKE MODULE FOR THE HYDRUS MODEL
<p>Data used in the manuscript for the theoretical and experimental validation, and for the Global Sensitivity Analysis. For a thorough description, please refer to the manuscript.</p>
FESOM2.1 model data used in the paper 'Atmospheric blocking slows ocean-driven melting of Greenland's largest glacier tongue'
<p>This data set includes the data necessary to reproduce the findings of McPherson et al., in revision, and recreate the figures in the manuscript.</p> <p>The output of model simulations with the global ocean sea ice model FESOM2.1 is provided. </p> <p>In particular, the data set includes:</p> <ol> <li>long term means of potential temperature, salinity, velocity and basal melt of the 79N Glacier averaged over 1970-2021 (<a target="_blank" rel="noopener noreferrer">fesom.mean.1970_2021.t.s.u.v.mat</a>)</li> <li>air-sea heat flux anomaly and anomalous wind field at 10m, taking mean winter (DJF) conditions between 2014 - 2016 from the mean of the years 2017 - 2020 (fesom.anom.fh.wind.mat)</li> <li>Atlantic Water temperature and velocity anomalies, taking mean winter (DJF) conditions between 2014 - 2016 from the mean of the years 2017 - 2020 (fesom.anom.t.u.v.mat)</li> </ol> <p>Each file includes information on the model grid (longitude and latitude of nodes, depths of the vertical layers, elements, nodal areas) needed for plotting the data.</p>
Datasets for "Global Assessment of Atmospheric Forcing Uncertainties in The Common Land Model 2024 Simulations"
<p>This repository provides the datasets for the publication "Global Assessment of Atmospheric Forcing Uncertainties in The Common Land Model 2024 Simulations".</p>
STIM model output for "Aurorally-driven Supersonic Gravity Waves in Saturn's Atmosphere"
<p>Saturn Thermosphere-Ionosphere Model (STIM) output corresponding to the figures shown in the paper "Aurorally-driven Supersonic Gravity Waves in Saturn's Atmosphere".</p>
Reproduction package for the paper "The open-source sunbather code: Modeling escaping planetary atmospheres and their transit spectra"
<p>This is a reproduction package for the paper "The open-source sunbather code: modeling escaping planetary atmospheres and their transit spectra" by Dion Linssen, Jim Shih, Morgan MacLeod & Antonija Oklopčić (2024). It provides a front-to-end reproduction script to reproduce the results and Figures 1-5 of the paper. Figures 6&7 can be reproduced with the example notebook found in the sunbather installation.</p>
High quality figures of "Global Assessment of Atmospheric Forcing Uncertainties in The Common Land Model 2024 Simulations"
<p>This repository provides the figures for the publication "Global Assessment of Atmospheric Forcing Uncertainties in The Common Land Model 2024 Simulations" in their original resolution, ensuring clarity the high-quality visual representations for readers.</p>
Attached_eddy_model_in_the_atmosphere
<p>This archive contains data files used in the paper titled "Asymptotic Limits of the Attached Eddy Model Derived from an Adiabatic Atmosphere". <br>If you have any questions, feel free to contact yueqin@bu.edu.</p>
No increase is detected and modelled for the seasonal cycle amplitude of δ13C of atmospheric carbon dioxide: scripts and data to prepare figures
<p>The file contains the scripts and data to plot the graphics displayed in Joos et al., No increase is detected and modelled for the seasonal cycle amplitude of δ13C of atmospheric carbon dioxide, Biogeosciences, in press, November 2024.</p>
Model data for: Drawdown of atmospheric pCO2 via dynamic particle export stoichiometry in the ocean twilight zone
<p>Understanding the global carbon cycle is key to understanding the climate system. One of the large unknowns is the processes happening in the twilight zone of the ocean. Here, we focus on how elemental stoichiometry of particulate organic matter in the twilight zone affects the strength of the biological pump and atmospheric CO2. We show through modeling that atmospheric CO2 is very sensitive to the change in C:P ratio in the twilight zone. Numerous model studies study the link between the carbon cycle and flexible elemental stoichiometry of organic matter in the surface ocean. However, our model study is unique. It investigates the effects of stoichiometric changes both at the surface and in the subsurface ocean that also involve stoichiometric interaction between phytoplankton and zooplankton.<br> <br> We use a 3D numerical model to illustrate how C:P variability in the twilight zone can significantly modulate the strength of carbon sequestration and atmospheric CO2. We used the biogeochemical model MOPS (Kriest and Oschlies, Geosci. Model Dev., 8, 2929–2957, 2015) coupled to ECCO Transport Matrices.</p> <p>This repository contains model input and output files for each sensitivity run outlined in the paper. The run ID corresponds to different sensitivity run. See README for more details. </p>
A Hybrid Approach to Atmospheric Modeling that Combines Machine Learning with a Physics-Based Numerical Model
<p>Data used to generate the figures in "A Hybrid Approach to Atmospheric Modeling that Combines Machine Learning with a Physics-Based Numerical Model" 2021. The zip files contains the hybrid forecasts and regridded ERA5 data used to verify the forecasts as well as the SPEEDY-LLR and ML-only runs. </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.