Find research datasets worth reusing

opencc-by-4.0Aug 2019View details →

Data archive for Towards understanding potential atmospheric contributions to abrupt climate changes: characterizing changes to the North Atlantic eddy-driven jet over the last deglaciation

This archive contains simulated North Atlantic eddy-driven jet latitude and tilt data generated using the PlaSim model to accompany Andres and Tarasov (Climate of the Past, accepted), DOI: https://doi.org/10.5194/cp-15-1-2019. Paper abstract is as follows: "Abrupt climate shifts of large amplitudes were common features of the Earth’s climate as it transitioned into and out of the last full glacial state approximately 20 000 years ago, but their causes are not yet established. Midlatitude atmospheric dynamics may have played an important role in these climate variations through their effects on heat and precipitation distributions, sea ice extent, and wind-driven ocean circulation patterns. This study characterizes deglacial winter wind changes over the North Atlantic (NAtl) in a suite of transient deglacial simulations using the PlaSim Earth system model (run at T42 resolution) and the TraCE- 21ka (T31) simulation. Though driven with yearly updates in surface elevation, we detect multiple instances of NAtl jet transitions in the PlaSim simulations that occur within 10 simulation years and a sensitivity of the jet to background climate conditions. Thus, we suggest that changes to the NAtl jet may play an important role in abrupt glacial climate changes. We identify two types of simulated wind changes over the last deglaciation. Firstly, the latitude of the NAtl eddy-driven jet shifts northward over the deglaciation in a sequence of distinct steps. Secondly, the variability in the NAtl jet gradually shifts from a Last Glacial Maximum (LGM) state with a strongly preferred jet latitude and a restricted latitudinal range to one with no single preferred latitude and a range that is at least 11 ◦ broader. These changes can significantly affect ocean circulation. Changes to the position of the NAtl jet alter the location of the wind forcing driving oceanic surface gyres and the limits of sea ice extent, whereas a shift to a more variable jet reduces the effectiveness of the wind forcing at driving surface ocean transports. The processes controlling these two types of changes differ on the upstream and downstream ends of the NAtl eddy-driven jet. On the upstream side over eastern North America, the elevated ice sheet margin acts as a barrier to the winds in both the PlaSim simulations and the TraCE-21ka experiment. This constrains both the position and the latitudinal variability in the jet at LGM, so the jet shifts in sync with ice sheet margin changes. In contrast, the downstream side over the eastern NAtl is more sensitive to the thermal state of the background climate. Our results suggest that the presence of an elevated ice sheet margin in the south-eastern sector of the North American ice complex strongly constrains the deglacial position of the jet over eastern North America and the western North Atlantic as well as its variability."

opencc-by-4.0Aug 2019View details →

Reconstruction Movies for "Reconstructing Coupled Atmosphere-Ocean Variability Over the Last Millennium"

Two videos of reconstructed climate fields (1000 - 2000 C.E.) from my doctoral dissertation. production_ccsm4_atm_wProxy.mp4: A video showing the grand-ensemble mean (taken over Monte-Carlo iterations and ensemble members) spatial field results for the LMR Online reconstruction using the CCSM4-LIM calibration. Fields are centered about the 1000--1850 C.E. mean values. The spatial distribution of the proxy network available for assimilation in each year is provided in the last panel. Fields shown include: 2 m surface air temperature (TAS), 500 hPa geopotential heights (ZG500), precipitation (PR), sea-surface temperature (SST), and sea-level pressure (SLP).   production_ccsm4_ocean.mp4: As in Movie S1, but depicting ocean fields of sea-surface temperature (SST), sea-surface salinity (SSS), 0-700 m ocean heat content (OHC700), and ZOS (Dyn. SSH) along with the outgoing shortwave (RSUT) and longwave (RLUT) for each year. Provided as a separate video for clarity.

opencc-by-4.0Aug 2019View details →

Observation of very short period atmospheric gravity waves in the lower Ionosphere using Very Low Frequency waves

This is the VLF frequency data recorded at PARI station owned by Prof Morris Cohen, at Georgia Institute of Technology, Atlanta, USA. Data is for six transmitter signals, DHO, NAA, NAU, NLK, NPM, NML with both amplitude and Phase

openother-openSep 2019View details →

Data repository of the paper "The First Terrestrial Electron Beam Observed by The Atmosphere-Space Interactions Monitor" by D. Sarria et al.

Data repository / Supporting information of the paper "The First Terrestrial Electron Beam Observed by The Atmosphere-Space Interactions Monitor" (2019) by D. Sarria et al. Access to the article:  <a href="https://doi.org/10.1029/2019JA027071">https://doi.org/10.1029/2019JA027071</a>

opencc-by-4.0Sep 2019View details →

Atmospheric and sea ice model fields from the perturbed parameter ensemble E3SMv0-HILAT used to examine emergent relationships among climate variables in the Arctic

These files contain time series of several sea ice ad atmospheric fields produced in an ensemble of perturbed parameter simulations using the E3SMv0-HiLAT model. The time series are used to produced seasonal means, which are used to examine emerging relationships in the ensemble discussed in our manuscript, as of September 2019, in review at JGR

opencc-by-4.0Oct 2019View details →

Atmospheric observations of the water vapour continuum in the near-infrared windows - Data

Dataset for our AMT paper (Atmospheric observations of the water vapour continuum in the near-infrared windows). Included is the best estimate of the continuum optical depth (18 September 2008). the ratio of this best estimate to the corresponding MT_CKD 3.2 optical depth from 18 September 2008, and the CAVIAR-field estimated continuum absorption coefficients using both MT_CKD and CAVIAR-lab. Other data are available from the corresponding author upon request.

Atmospheric forcing and OGCM conditions for the year 2019 over the South China Sea

The atmospheric forcing (<a href="13253327" target="_blank" rel="noopener noreferrer">atmospheric_ECMWF_forcing.tar</a>) comes from the 3-hourly output of the ECMWF 1/8o atmospheric analysis. Initial ocean conditions and lateral ocean boundary conditions are prescribed from the daily outputs of the global ocean 1/12o analysis PSY4QV3R1 from the Copernicus Marine and Environment Monitoring Service (CMEMS) (<a href="13253327" target="_blank" rel="noopener noreferrer">copernicus_OGCM_forcing.tar</a>). The data cover the entire year of 2019.

opencc-by-4.0Aug 2022View details →

Data for The effectiveness of coagulation sink of 3-10 nm atmospheric particles

Data for figures 2-7 in the main manuscript; raw time series and metadata

Chondritic reactivity under H2-rich atmospheres: Formation of H2S. Computational Data.

This supporting material includes: <ul> <li>Cartesian coordinates of the PBE-optimized minima and transition states for the studied reactions, provided in both XYZ and CIF formats.</li> <li>Examples of input and output files used with the <a href="https://www.cp2k.org/">CP2K</a> package.</li> <li>Vibrational analysis, including all calculated frequencies.</li> </ul>

opencc-zeroAug 2024View details →

The data for "The feasibility of asynchronous rotation via thermal tides for diverse atmospheric compositions"

Supporting code and data for Salazar & Wordsworth, 2024  Description of Jupyter Notebook files: (Figure_X.ipynb) Contains code for recreating all figures appearing in S&W, 2024 (labeled by figure number, X) (ExoTides_analytic.ipynb) Contains functions from the analytic model for calculating torque and rotation states as a function of orbital and atmospheric paramters (LMDZ_Processing.ipynb) Code for processing raw LMDZ data, including centering at the substellar point, spherical harmonic decomposition, and calculation of torque, amplitude, and lag (ExoTides_int.ipynb) Demonstrates solutions by integrating Equation (7) numerically (not done in paper). Also includes a comparison with the analytic model Description of Numpy array files: These files contain numpy arrays of the torque (im_q), amplitude (amp), lag angle (lag), and parameter values (list) for each of the GCM sensitivity tests performed in S&W, 2024. These files were created using the LMDZ_Processing.ipynb file, which takes raw GCM output and outputs the torque information. Full details are available in the publication. The beginning of each .npy file name signifies which sensitivity test the file is (ex: taulw indicates the longwave optical depth sensitivity test). The Figure_2.ipynb file shows how these .npy files are used.  Descrition of .csv file: The nasa_exoplanet.csv file contains output from the NASA Exoplanet Archive (DOI: 10.26133/NEA12) and is used in the creation of Figure 7.

opencc-zeroAug 2024View details →

The data for "The feasibility of asynchronous rotation via thermal tides for diverse atmospheric compositions"

This repo contains the processed LMD Generic model output data needed to reproduce figures in Salazar & Wordsworth, 2024: "The feasibility of asynchronous rotation via thermal tides for diverse atmospheric compositions". Raw GCM data can be made available upon request.   The processed data is saved as numpy arrays. For each sensitivity test detailed in Salazar & Wordsworth, 2024, the GCM data was processed by taking surface temperature and surface pressure output and phase folding the data so that the substellar point is the origin of longitudes. Full details are available in the paper.

Post-processed SAM (System for Atmospheric Modeling) simulation output for "Tipping to an Aggregated State by Mesoscale Convective Systems"

Statistics output files for all variables, for a select number of SAM (System for Atmospheric Modeling v. 6.11) simulation runs used in the study  "Tipping to an Aggregated State by Mesoscale Convective Systems". The following simulations are included: DIU, OCEAN, DIU2OCEAN branch A1, DIU2OCEAN branch A2.

opencc-by-4.0Sep 2024View details →

Magnetic diffusion in Solar atmosphere produces measurable electric fields

Stokes spectra in 397, 630, and 854 nm with a field-of-view of 10"x10" that contains the analyzed Ellerman bomb

opencc-by-4.0Jul 2024View details →

PAPILA: High resolution inventory of atmospheric emissions in Latin America.

Brief description PAPILA dataset is a collection of annual emission inventories of reactive gases (CO, NMVOC, SO2, NH3, NOx), Greenhouse gases (CO2, CH4), and particles (PM25, PM10, BC, OC) from anthropogenic sources in South America, for the period 2014–2020. Here is presented PAPILA version 2.0, The first version of this inventory is available <a href="https://data.mendeley.com/datasets/btf2mz4fhf/3">here.</a> PAPILA is the first AEI from anthropogenic sources covering the continental SA region, which combines local available information with a global database in a proper and rigorous way. For this purpose, global datasets were used as a basis, enriching it with locally developed inventories available in the literature until 2023 for Argentina, Chile, Colombia, Mexico and Ecuador. The Dataset consider emissions from 13 sectors  which are organized and denominated inspired mostly on the nomenclature given by CAMS: thermal power plants (ENE);  road transportation (TRO); non-road transportation (TNR); fugitive emissions (FEF); industries, including fuel consumption in manufacturing industries and construction industrial processes, (IND); solvents (SLV); refineries (REF); agricultural soils (AGS); agricultural livestock (AGL); domestic and international navigation (SHP); solid waste disposal   (including solid waste, wastewater, and incineration) (SWD); open biomass burning (OBB); residential , commercial and other sectors (RCO) To consult the main methodological considerations , review the methodological document available for download This inventory should contribute to the design of policies that seek to mitigate climate change and improve air quality by providing policy makers, stakeholders and scientists with qualified scientific spatial explicit emission information Metadata The inventories are presented as netCDF4 files, one for each year and specie, gridded  in WGS84 projection (lon-lat) with a spatial resolution of 0.1∘ × 0.1∘ covering the domain 32–120∘ W and 34∘ N–58∘ S. Each file contains 14 variables corresponding to the emissions in Tg yr−1 from the13 sectors estimated and the sum of all categories (SUM)

Is OSSO a significant contributor to the unknown UV absorber in Venus' atmosphere?

Datasets for figures and output of PCM model run as detailed in the corresponding paper.

Disequilibrium Chemistry, Diabatic Thermal Structure, and Clouds in the Atmosphere of COCONUTS-2b

This dataset contains the Gemini/FLAMINGOS-2 near-infrared spectrum of the planetary-mass companion, COCONUTS-2b, as presented in the paper "Disequilibrium Chemistry, Diabatic Thermal Structure, and Clouds in the Atmosphere of COCONUTS-2b" (Zhang et al. 2024) for publication by Astronomical Journal (arXiv:2410.10939). This file includes three columns: wavelengths (unit: micron), flux (unit: erg/s/cm2/Angstrom), and flux uncertainties (unit: erg/s/cm2/Angstrom). Please cite this paper and the Zenodo repository if these data are used in your work.

Reproduction package for the paper: "The overflowing atmosphere of WASP-121 b"

Supplementary Material for the paper "The overflowing atmosphere of WASP-121 b: High-resolution He i 10833 transmission spectroscopy with VLT/CRIRES+" by Czesla et al. (2024). The material is related to the 3D modeling part of the paper (Sect. 3.5), specifically focused on the atmospheric escape simulations and radiative transfer calculations for the exoplanet WASP-121 b. We provide the results of the 3D hydrodynamic simulation with Athena++, with key files including the input file and a snapshot of the simulation after 8 orbits. Post-processing is done with a radiation transfer code located in the folder "post-process_W121b". This code, based on MacLeod & Oklopcic (2022), generates synthetic spectra for two density scenarios (scaling factors 0.5 and 1.0) and has been modified for accurate calculations in high density regions. A Jupyter notebook in the same folder illustrates how to analyze the data and generate the corresponding figures. Detailed descriptions can be found in the README.txt file.

Dataset for "Estimating the offshore wind power potential of Portugal by utilizing gray-zone atmospheric modeling" article

This dataset is used for analysis and visualization, that supports the article titled "Estimating the offshore wind power potential of Portugal by utilizing gray-zone atmospheric modeling", which has been accepted for publication in the Journal of Renewable Sustainable Energy.

Code and Data for Sturm and Silva (2024) A nudge to the truth: atom conservation as a hard constraint in models of atmospheric composition using an uncertainty-weighted correction

This record contains the Julia photochemical model (https://doi.org/10.5281/zenodo.13385541) output in csv format used for training XGBoost in ProjectionConservationRF.py to emulate ozone photochemical formation. Nonphysical predictions that violate conservation of atoms are corrected using a closed-form, constrained least-squares approach that factors in uncertainty and scale using species-level weights. The file ozoneNOx_visualization.py contains an example and visualization for a smaller system, the primary photolytic cycle from which the Leighton relationship can be derived. The corresponding preprint is available here: <a href="https://doi.org/10.48550/arXiv.2408.16109">https://doi.org/10.48550/arXiv.2408.16109</a>

MASCS 1.0: Synchronous atmospheric and oceanic data from a cross-shaped moored array in the northern South China Sea during 2014–2015

This work presents a cross-shaped moored array dataset (MASCS 1.0) comprising five buoys and four moorings with synchronous atmospheric and oceanic data in the northern South China Sea during 2014–2015. The atmospheric data are observed by two meteorological instruments at the buoys. The oceanic data consist of sea surface waves measured using a wave recorder, temperature, and salinity from the surface to a depth of 400 m, and at 10 and 50 m above the ocean bottom using conductivity, temperature, and depth recorders. It also includes currents from the surface to a depth of 850 m measured using acoustic Doppler current profilers and measured at 10, 50, and 100 m above the floor using current meters. Additional measurements were taken for sea surface radiation, air visibility, chlorophyll, turbidity, and chromophoric dissolved organic matter at buoy 3, located at the center of the moored array. The data reveals air–sea interactions and oceanic processes in the upper and bottom ocean, especially the transition of the air–sea interface and ocean conditions from summer to winter monsoon and the effects of six tropical cyclones on the moored array. Multiscale processes were also recorded, such as air–sea fluxes, tides, internal waves, and low-frequency flows. The data are valuable and have many potential applications, including analyzing the phenomena and mechanisms of air–sea interactions and ocean dynamics and validating and improving numerical model simulations, data reanalysis, and assimilations.