Find research datasets worth reusing

opencc-by-4.0Nov 2024View details →

Tracing diurnal variations of atmospheric CO2, O2 and δ13CO2 over a tropical and a temperate forest

These are the datasets of the campaigns used in the paper: Tracing diurnal variations of atmospheric CO2, O2 and δ13CO2 over a tropical and a temperate forest. Two campaigns are included: CloudRoots and Loobos. Have a look at the README files on the specifics of what is inside the files and how to cite these datasets.

dryad36/100

Data reported in: Effects of ozone isotopologue formation on the clumped-isotope composition of atmospheric O2

Tropospheric 18O18O is an emerging proxy for past tropospheric ozone and free-tropospheric temperatures. The basis of these applications is the idea that isotope-exchange reactions in the atmosphere drive 18O18O abundances toward isotopic equilibrium. However, previous work used an offline box-model framework to explain the 18O18O budget, approximating the interplay of atmospheric chemistry and transport. This approach, while convenient, has poorly characterized uncertainties. To investigate these uncertainties, and to broaden the applicability of the 18O18O proxy, we developed a scheme to simulate atmospheric 18O18O abundances (quantified as ∆36 values) online within the GEOS-Chem chemical transport model. These results are compared to both new and previously published atmospheric observations from the surface to 33 km. Simulations using a simplified O2 isotopic equilibration scheme within GEOS-Chem show quantitative agreement with measurements only in the middle stratosphere; modeled ∆36 values are too high elsewhere. Investigations using a comprehensive model of the O-O2-O3 isotopic photochemical system and proof-of-principle experiments suggest that the simple equilibration scheme omits an important pressure dependence to ∆36 values: the anomalously efficient titration of 18O18O to form ozone. Incorporating these effects into the online ∆36 calculation scheme in GEOS-Chem yields quantitative agreement for all available observations. While this previously unidentified bias affects the atmospheric budget of 18O18O in O2, the modeled change in the mean tropospheric ∆36 value since 1850 C.E. is only slightly altered; it is still quantitatively consistent with the ice-core ∆36 record, implying that the tropospheric ozone burden increased less than ~40% over the twentieth century.

opencc-zeroJun 2021View details →

opencc-by-4.0Apr 2021View details →

Atmospheric Ammonia (NH3) total columns from the FY-4A Geostationary Interferometric Infrared Sounder (GIIRS)

This dataset includes the ammonia (NH3) total columns (in molecules cm-2) obtained from the FY-4A Geostationary Interferometric Infrared Sounder (GIIRS) satellite observations between November 2019 and October 2020. It also includes a an NH3 uncertainty estimate and a cloud flag. Data has been set to NaN when clouds are detected or in the case of poor measurement sensitivity. Description of the product and retrieval method can be found in Clarisse et al. (2021).

Data for "Impact of prior terrestrial carbon flux on atmospheric CO2 concentration simulation"

Data for "Impact of prior terrestrial carbon flux on atmospheric CO2 concentration simulation"

Large-Scale Atmospheric Drivers of Snowfall over Thwaites Glacier, Antarctica

Monthly RACMO2 snowfall rates (1979-2015, in mm w.e. per month), as described in Lenaerts et al., 2018 (https://www.cambridge.org/core/journals/annals-of-glaciology/article/climate-and-surface-mass-balance-of-coastal-west-antarctica-resolved-by-regional-climate-modelling/E3DD6D0DA914C6031F96A548AF53603A), and used in this paper.

Atmospheric turbulence distorted video sequence dataset

This contains the full version of the dataset utilized in our paper "Neutralizing the impact of atmospheric turbulence on complex scene imaging via deep learning". Three main types of data are covered, which include algorithm simulated data, physical simulated data and real-world data. Specifically, the algorithm/physical simulated sequences are given with reference without turbulence distortion.

FESOM output supporting: Atmospheric wind biases: A challenge for simulating the Arctic Ocean in coupled models?

AWI-CM1 and FESOM1.4 simulation results used in the manuscript "Atmospheric wind biases: A challenge for simulating the Arctic Ocean in coupled models?".

Atmospheric Wavenumber-4 driven South Pacific Marine Heat Waves and Marine Cool Spells

Data and code files for Atmospheric Wavenumber-4 driven South Pacific Marine Heat Waves and Marine Cool Spells, Stephen M. Chiswell, Nature Communications  ***** ****

opencc-by-4.0May 2021View details →

Varying partitioning of surface turbulent fluxes regulates temperature-humidity dissimilarity in the convective atmospheric boundary layer

This dataset contains the data used in the submitted manuscript of Liu, Liu, Huang, and Xiao 2021. Please refer to the manuscript for the detailed description of the dataset.

openother-openJun 2021View details →

Atmospheric circulation sensitivity to changes in the vertical structure of polar warming

This is the dataset used to make main figures of Atmospheric circulation sensitivity to changes in the vertical structure of polar warming (2021), GRL (in preparation). Please refer to the method section. 1. The name of GRAM experiments, bot, mid1, mid2, and mid3 indicate L990, L850, L700, and L550 forcing respectively. Depending on the forcing amplitude, it varies 1X to 5.5X. The control run for GRAM is ctl_GRAM.nc. 2. There are additional data for L990 and L650 for AM2 experiments. The control run for AM2 is ctl_AM2.nc. 3. kernel_GRAM.mat = the radiative Kerel which is the OLR response to incremental increases in temperature of 1 K at each vertical level and the surface, based on GRaM (Lowest level is the surface kernel).   Arctic domain averaged monthly temperature kernel data for figure 2d : 1. ERA-Interim (Huang et al. 2017); the original data can be obtained from <a href="https://huanggroup.wordpress.com/research/">https://huanggroup.wordpress.com/research/</a>. 2. GFDL-AM2 Aquaplanet (Feldl et al. 2017); the original data can be obtained from <a href="https://climate.rsmas.miami.edu/data/radiative-kernels">https://climate.rsmas.miami.edu/data/radiative-kernels</a>.

opencc-by-4.0Sep 2021View details →

Correlated-k table for H2O+N2 atmospheres

Correlated-k table for H2O+N2 atmospheres. According to the MT_CKD formalism, the water vapor absorption lines are truncated at 25cm-1 and the plinth is removed. Absorption lines take into account all mutual interactions between water and nitrogen, including foreign broadening. We used water lines from the HITRAN database. Temperature grid (Kelvin): [50,  110,  170,  230,  290,  350,  410,  470,  530,  590,  650,  710,  5000] Pressure grid (Pascal): [10-1, 1, 10, 102, 103, 104, 105, 106, 107] Water mass mixing ratio grid: [10-6, 10-5, 10-4, 10-3, 10-2, 10-1, 1] Spectral range (cm-1): [0.1, 30000] Spectral resolution R=300

opencc-by-4.0Apr 2021View details →

Data and Code for Atmospheric oxygen abundance, marine nutrient availability, and organic carbon fluxes to the seafloor

Code and Data for manuscript "Atmospheric oxygen abundance, marine nutrient availability, and organic carbon fluxes to the seafloor"

opencc-by-4.0Sep 2021View details →

Supporting data for: Oceanic and atmospheric drivers of post-El-Niño chlorophyll rebound in the equatorial Pacific

The GFDL ESM2M, ESM4.1, ESM4.1-static simulation data used for ENSO related chlorophyll and iron analysis in the study are available in this repository.   Please contact <a href="mailto:hyung-gyu.lim@noaa.gov">hyung-gyu.lim@noaa.gov</a> for further questions..  The project on "Oceanic and atmospheric drivers of post-El-Niño chlorophyll rebound in the equatorial Pacific" is implemented based on below dataset that is submitted to Geophysical Research Letters at September 2021 regridded by 1 degree horizontal resolution for the tropical Pacific region [120E-60W, 20N-20S] ESM2M : chl, temp, fed, no3 for 1001-1100 years ESM4.1: chl, thetao, dfe, no3, od550dust, dep_dry_fed, dep_wet_fed for 501-650 years ESM4.1-static: chlos, dfeos, tos for 501-650 years The tar file in this submission holds the above data.

opencc-by-4.0Oct 2021View details →

Impact of 3D Cloud Structures on the Atmospheric Trace Gas Products from UV-VIS Sounders: Synthetic dataset for validation of trace gas retrieval algorithms

This data set is described in detail in a paper submitted to AMTD: Impact of 3D Cloud Structures on the Atmospheric Trace Gas Products from UV-VIS Sounders - Part I: Synthetic dataset for validation of trace gas retrieval algorithms by Claudia Emde, Huan Yu, Arve Kylling, Michel van Roozendael, Kerstin Stebel, Ben Veihelmann, and Bernhard Mayer   The subdirectory boxcloud includes synthetic reflectances for clearsky, 1D cloud and box cloud. The subdirectory les_cloud includes synthetic reflectances for the LES cloud scenario for low earth orbit (leo) and geostationary orbit (geo). All data are provided in netcdf format.

opencc-by-4.0Oct 2017View details →

Pseudoproxies for the paper "A pseudoproxy assessment of data assimilation for reconstructing the atmosphere–ocean dynamics of hydroclimate extremes"

Pseudoproxies for the paper “A pseudoproxy assessment of data assimilation for reconstructing the atmosphere–ocean dynamics of hydroclimate extremes” by Steiger and Smerdon 2017. If you have further questions, address them to the author Nathan J. Steiger.

opencc-by-4.0Sep 2018View details →

The Influence of H2O Pressure Broadening in High Metallicity Exoplanet Atmospheres: Absorption Cross-section dataset

In this study, the pressure-broadened H2O absorption cross-sections (ACS) data are computed for two set of broadeners: 1)  85%H2 and 15% He, and 2) 100% H2O (or 100% self-broadening) for 288 pressure-temperature grid points. Therefore, this dataset includes 576 files, and each file named based on its temperature, pressure, and broadener (H2HE or SELF).

In-depth study of the formation processes of single atmospheric particles in the southeastern margin of Tibetan Plateau

The Tibetan Plateau (TP) is the most sensitive and obvious indicator of climate change in the entire Asian continent, however, real-time observations on the characteristics of full aerosol compositions are still limited within the plateau, which hinders our comprehensively understanding of the distribution characteristics and formation mechanism of aerosols in high-altitude regions. In this study, a single particle aerosol mass spectrometer was deployed to investigate the highly time resolved chemical components and atmospheric processing on the size distribution and mixing state of individual particles in the southeastern margin of the TP during the pre-monsoon season.

Atmospheric river contributions to ice sheet hydroclimate at the Last Glacial Maximum

This dataset contains the atmospheric river catalogues and the associated precipitation and temperature data for the Preindustrial and Last Glacial Maximum CESM2 simulations presented in the GRL manuscript:  Atmospheric river contributions to ice sheet hydro climate at the Last Glacial Maximum. The atmospheric river catalogue files (zipped) are in netcdf format and organized by year. There are 100 years of data for both simulations.  The Preindustrial simulation catalogue begins in model year 41 and ends in model year 140.  The LGM simulation catalogue begins in model year 1 and ends in year 100. Each yearly file has a temporal resolution of 6 hours (1460 time steps each file) and a spatial resolution of 0.9° x 1.25° (the native resolution of the CESM simulation). A variable in the file called "ar_binary_tag" indicates whether an atmospheric river is present at each grid cell and each tilmestep: 1 indicates an atmospheric river is present; 0 indicates an atmospheric river is not present.  The precipitation and temperature files are 100-year annual or 100-year seasonal averages of atmospheric river precipitation/temperature. See the Methods section of the article for more details on the atmospheric river detection algorithm and precipitation/temperature calculations. Associated article abstract: Atmospheric rivers (ARs) are an important driver of surface mass balance over today’s Greenland and Antarctic ice sheets. Using paleoclimate simulations with the Community Earth System Model, we find ARs also had a key influence on the extensive ice sheets of the Last Glacial Maximum (LGM). ARs provide up to 53% of total precipitation along the margins of the eastern Laurentide ice sheet and up to 22-27% of precipitation along the margins of the Patagonian, western Cordilleran, and western Fennoscandian ice sheets. Despite overall cold conditions at the LGM, surface temperatures during AR events are often above freezing, resulting in more rain than snow along ice sheet margins and conditions that promote surface melt. The results suggest  ARs may have had an important role in ice sheet growth and melt during previous glacial periods and may have accelerated ice sheet retreat following the LGM.

Contemporary atmospheric oxygen levels maximize global protection by ozone

These are the datasets used for the paper: Contemporary atmospheric oxygen levels maximize global protection by ozone by Józefiak et al. 2022

Energy extraction from air: structural basis of atmospheric hydrogen oxidation

MD simulation trajectories of HucSL dimer including wild-type and mutant proteins(E15A+I64A; I64A+L112A; E15A+I64A+L112A) in the presence of excess hydrogen and oxygen molecules. Preprint with details of the simulations and results can be found here: https://doi.org/10.1101/2022.10.09.511488.