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.
21
datasets available to search
ShareScore release 0.9.0
Dataset results
21 results for “cirrus clouds”
Data for the "Cirrus cloud thinning using a more physically-based ice microphysics scheme in the ECHAM-HAM GCM" manuscript
<p>This repository contains the post-processed data files for plotting and interpreting the results of "Cirrus cloud thinning using a more physically-based ice microphysics scheme in the ECHAM-HAM GCM" study.</p> <p>The files are all netCDF4 except for the analysis files that show global mean values in a .txt format.</p> <p>The Version 3 & Version 4 tar files are smaller than Version 2 as we performed some code clean-up for some post-processing scripts that excluded redundant data files that were very large and that were not used for plotting or the analysis for the manuscript.</p>
Data for the "Does prognostic seeding along flight tracks produce the desired effects of cirrus cloud thinning?" manuscript
<p>Tar file of the data used to prepare the plots and write the text in: "Does prognostic seeding along flight tracks produce the desired effects of cirrus cloud thinning?" manuscript for submission to ACP.</p> <p>A description of each netcdf file is provided in the README file. The format of each file is in netcdf4</p>
Understanding cirrus clouds using explainable machine learning
<p>This repository contains the data for the paper:</p> <p>Authors: Kai Jeggle , David Neubauer , Gustau Camps-Valls and Ulrike Lohmann<br> Titel: Understanding cirrus clouds using explainable machine learning<br> Date: 2023</p> <p>Note that the scripts can be found in the accompanying package (https://github.com/tabularaza27/explaining_cirrus)</p>
First observational evidence of the relationship between the tropospheric temperature and cirrus cloud occurrence over India
<p>This dataset contains the normalized relative backscatter (NRB) coefficients and cloud fractions observed using Micro Pulse Lidar over Kattankulathur (12.82<sup>o</sup>N, 80.04<sup>o</sup>E ) presented in the paper.</p> <p> </p> <p> </p>
Data for: Low temperature ice nucleation of sea spray and secondary marine aerosols under cirrus cloud conditions
<p>Sea spray aerosols (SSA) represent one of the most abundant aerosol types on a global scale and have been observed at all altitudes including the upper troposphere. SSA has been explored in recent years as a source of ice nucleating particles (INPs) in cirrus clouds due to the ubiquity of cirrus clouds and the uncertainties in their radiative forcing. This study expands upon previous works on low temperature ice nucleation of SSA by investigating the effects of atmospheric aging of SSA and the ice nucleating activity of newly formed secondary marine aerosols (SMA) using an oxidation flow reactor. Polydisperse aerosol distributions were generated from a Marine Aerosol Reference Tank (MART) filled with 120 L of real or artificial seawater and were dried to very low relative humidity to crystallize the salt constituents of SSA prior to their subsequent freezing, which was measured using a Continuous Flow Diffusion Chamber (CFDC). Results show that for both primary SSA (pSSA), and the aged SSA and SMA (aSSA+SMA) at temperatures > 220 K, homogeneous conditions (92–97 % relative humidity with respect to water (RHw)) were required to freeze 1 % of the particles. However, below 220 K, heterogeneous nucleation occurs for both pSSA and aSSA+SMA at much lower RHw, where up to 1 % of the aerosol population freezes between 75–80 % RHw. Similarities between freezing behaviors of the pSSA and aSSA+SMA at all temperatures suggest that the contributions of condensed organics onto the pSSA or alteration of functional groups in pSSA via atmospheric aging did not hinder the major heterogeneous ice nucleation process at these cirrus temperatures that has previously been shown to be dominated by the crystalline salts. Occurrence of 1% frozen fraction of SMA, generated in the absence of primary SSA, was observed at/near water saturation below 220 K, suggesting it is not an effective INP at cirrus temperatures, similar to findings in the literature of other organic aerosols. Thus, any SMA coatings on the pSSA would only decrease the ice nucleation behavior of pSSA if the organic components were able to significantly delay water uptake of the inorganic salts, and apparently, this was not the case. Results from this study demonstrate the ability of lofted primary sea spray particles to remain an effective ice nucleator at cirrus temperatures, even after atmospheric aging has occurred over a period of days in the marine boundary layer prior to lofting. We were not able to address aging processes under upper tropospheric conditions.</p>
Photos data for "Revealing Halos Concealed by CIrrus Clouds"
<p>Original photo data which are shown on the figures in the manuscript, "Revealing Hlaos Concealed by Cirrus Clouds".</p>
Data for: Low temperature ice nucleation of sea spray and secondary marine aerosols under cirrus cloud conditions
Open the record for dataset details and reuse information.
Investigation of cirrus clouds properties in the Tropical Tropopause Layer using high-altitude limb scanning near-IR spectroscopy during the NASA-ATTREX Experiment
<p>Data results of the findings of the AMT-2023-85 research article, titled: "Investigation of cirrus clouds properties in the Tropical Tropopause Layer using high-altitude limb scanning near-IR spectroscopy during the NASA-ATTREX Experiment", submitted to the Atmospheric Measurement Techniques journal on 20 Apr 2023.</p>
Data for the publication: A parameterization of cirrus cloud formation: Revisiting competing ice nucleation
<p>The files contain the data sets shown in the publication "A parameterization of cirrus cloud formation: Revisiting competing ice nucleation" to appear in J. Geophys. Res. Atmos. in 2022 (revised manuscript submitted) The files include a power point slide containing the schematic and xmgrace plot files containing the research data (ASCII) shown in all other figures that appear in the paper and its appendix.</p>
Can quasi-periodic gravity waves influence the shape of ice crystals in cirrus clouds?
<p>This is the Raman Lidar data recorded at Physical Research Laboratory (PRL), Ahmedabad, India owned by PRL and maintained by Dr. Som Kumar Sharma. Associate Professor and Mrs. Sourita Saha, Sci./Engg.-SC</p> <p>Data (RCS_20Feb2016.mat) is Range Corrected Signal on 20th Feb 2016 and the corresponding time (time_20Feb2016.mat) in UTC and height(height.mat) in km are provided.</p>
Studying the wide range of relative humidity in cirrus clouds with large-ensemble parcel model simulations
<p>The model codes, data, and plot scripts used in the paper, "Studying the wide range of relative humidity in cirrus clouds with large-ensemble parcel model simulations".</p> <ul> <li>parcel model code.zip contains model code.</li> <li>Results.zip contains output data of each experiment in this study.</li> <li>Figs and scripts.zip are the NCL scripts used for figures.</li> </ul>
ICON-D2-ART output for "Aerosol-cloud-radiation interaction during Saharan dust episodes: the dusty cirrus puzzle"
<p>ICON-D2-ART output for the three dusty cirrus episodes that are discussed in section 3 of the paper.</p> <p>Some grib and netcdf data of ICON-D2-ART is provided for 16 March 2022 (Figure 4), 3 March 2021 (Figure 12) and 6 May 2022 (Figure 16). In addition, the sounding data of Figures 7 and 8 is included as well as the CERES statistics of Figures 6, 14, 17 and 18.</p>
Data for the publication: Ice supersaturation variability in cirrus clouds: Role of vertical wind speeds and deposition coefficients
<p>The files contain the datasets shown in the publication "Ice supersaturation variability in cirrus clouds: Role of vertical wind speeds and deposition coefficients" to appear in J. Geophys. Res. Atmos. (revised manuscript submitted). The files are xmgrace plot files containing the research data (ASCII) shown in all figures in the main text and Appendix A.</p>
Model simulation data used in "Coupling aerosols to (cirrus) clouds in the global aerosol-climate model EMAC-MADE3" (Righi et al., Geosci. Model Dev., 2020)
<p>This dataset contains the output of the EMAC global model simulations analysed and discussed in Righi et al. (<i>Geosci. Model Dev.</i>, 2020). An overview of the numerical experiments performed for this study is given in the file "experiments.dat".</p>
First ISCCP Regional Experiment (FIRE) Cirrus 2 ISCCP Stage DX Pixel Level Cloud Product - Revised Algorithm Data
The First ISCCP Regional Experiments have been designed to improve data products and cloud/radiation parameterizations used in general circulation models (GCMs). Specifically, the goals of FIRE are (1) to seek the basic understanding of the interaction of physical processes in determining life cycles of cirrus and marine stratocumulus systems and the radiative properties of these clouds during their life cycles and (2) to investigate the interrelationships between ISCCP data, GCM parameterizations, and higher space and time resolution cloud data. To-date, four intensive field-observation periods were planned and executed: a cirrus IFO (October 13 - November 2, 1986); a marine stratocumulus IFO off the southwestern coast of California (June 29 - July 20, 1987); a second cirrus IFO in southeastern Kansas (November 13 - December 7, 1991); and a second marine stratocumulus IFO in the eastern North Atlantic Ocean (June 1 - June 28, 1992). Each mission combined coordinated satellite, airborne, and surface observations with modeling studies to investigate the cloud properties and physical processes of the cloud systems.A subset of the ISCCP Stage DX Cloud Product (Revised Algorithm) are included for the FIRE Cirrus 2 region.
First ISCCP Regional Experiment (FIRE) Atlantic Stratocumulus Transition Experiment (CIRRUS 2) NASA ER-2 Cloud Lidar System Data
The First ISCCP Regional Experiments have been designed to improve data products and cloud/radiation parameterizations used in general circulation models (GCMs). Specifically, the goals of FIRE are (1) to improve the basic understanding of the interaction of physical processes in determining life cycles of cirrus and marine stratocumulus systems and the radiative properties of these clouds during their life cycles and (2) to investigate the interrelationships between the ISCCP data, GCM parameterizations, and higher space and time resolution cloud data. To-date, four intensive field-observation periods were planned and executed: a cirrus IFO (October 13 - November 2, 1986); a marine stratocumulus IFO off the southwestern coast of California (June 29 - July 20, 1987); a second cirrus IFO in southeastern Kansas (November 13 - December 7, 1991); and a second marine stratocumulus IFO in the eastern North Atlantic Ocean (June 1 - June 28, 1992). Each mission combined coordinated satellite, airborne, and surface observations with modeling studies to investigate the cloud properties and physical processes of the cloud systems. Operations Plan (1992). The Cloud Lidar System (CLS) instrument was flown aboard the NASA ER-2 airplane. This instrument was used to determine cloud altitudes. Information pertaining to the number of cloud layers detected; the heights of the boundaries for up to 5 cloud layers; geo-physical location information; and time were recorded. Four channels of data were recorded. The first channel recorded wavelengths at 532 nanometers in the parallel plane. The second channel recorded wavelengths of 532 nanometers in the perpendicular plane. The third channel recorded wavelengths of 1064 nanometers total. The forth channel was a linear amplifier which received the digitized signal from one of the three previously mentioned CLS detectors. The data are organized so that there is a single header record for the file. This header record is followed by a series of pairs of records.The first record of each pair contains the CLS calibrated data and the second record of the pair contains the CLS analyzed data.
ATom: Dominant Role of Mineral Dust in Cirrus Cloud Formation
This dataset provides: (1) In situ dust aerosol concentration measurements over remote tropical Pacific and Atlantic Oceans by NOAA Particle Analysis by Laser Mass Spectrometry (PALMS) airborne single-particle mass spectrometer combined with Aerosol Microphysical Properties (AMP) aerosol size spectrometers. Measurements were made aboard the NASA DC8 aircraft during the four ATom campaigns that occurred from 2016 to 2018 (2) Model output of dust and meteorology from the CESM global transport model extracted at the time and location of the aircraft; (3) Model output of dust, other aerosol, and meteorology from the GEOS global transport model extracted at the time and location of the aircraft; (4) CESM model global output of dust and meteorology for dust emitted by specific source regions; (5) NCEP Global Forecast System forward trajectories of air parcels initiated at the time and location of the aircraft; and (6) The location and properties of cirrus clouds formed along the forward trajectories simulated using a parcel model. These data have been applied to better understand the role of mineral dust in cirrus cloud formation.
First ISCCP Regional Experiment (FIRE) Cirrus 1 NASA ER-2 Cloud Lidar System Data
The First ISCCP Regional Experiments have been designed to improve data products and cloud/radiation parameterizations used in general circulation models (GCMs). Specifically, the goals of FIRE are (1) to improve basic understanding of the interaction of physical processes in determining life cycles of cirrus and marine stratocumulus systems and the radiative properties of these clouds during their life cycles and (2) to investigate the interrelationships between the ISCCP data, GCM parameterizations, and higher space and time resolution cloud data.To-date, four intensive field-observation periods were planned and executed: a cirrus IFO (October 13-November 2, 1986); a marine stratocumulus IFO off the southwestern coast of California (June 29-July 20, 1987); a second cirrus IFO in southeastern Kansas (November 13-December 7, 1991); and a second marine stratocumulus IFO in the eastern North Atlantic Ocean (June 1-June 28, 1992). Each mission combined coordinated satellite, airborne, and surface observations with modeling studies to investigate the cloud properties and physical processes of the cloud systems. This data set contains cloud top height and ground height calculations from the NASA ER-2 Cloud LIDAR System (CLS) during the Wisconsin FIRE experiment in October, 1986.
Model simulation data used in "Impacts of ice-nucleating particles on cirrus clouds and radiation derived from global model simulations with MADE3 in EMAC" (Beer et al., Atmos. Chem. Phys., 2024)
<p>This dataset contains the namelist setup and the output of the EMAC global model simulations analysed and discussed in Beer et al. (<i>Atmos. Chem. Phys.</i>, 2024). For details see the README.md file and Table 2 in the paper.</p>
First ISCCP Regional Experiment (FIRE) Cirrus 1 ISCCP Stage DX Pixel Level Cloud Product - Revised Algorithm Data
The First ISCCP Regional Experiments (FIRE) have been designed to improve data products and cloud/radiation parameterizations used in general circulation models (GCMs). Specifically, the goals of FIRE are (1) to improve basic understanding of the interaction of physical processes in determining life cycles of cirrus and marine stratocumulus systems and the radiative properties of these clouds during their life cycles and (2) to investigate the interrelationships between the International Satellite Cloud Climatology Project (ISCCP) data, GCM parameterizations, and higher space and time resolution cloud data. To-date, four intensive field-observation (IFO) periods were planned and executed: a cirrus IFO (October 13-November 2, 1986); a marine stratocumulus IFO off the southwestern coast of California (June 29-July 20, 1987); a second cirrus IFO in southeastern Kansas (November 13-December 7, 1991); and a second marine stratocumulus IFO in the eastern North Atlantic Ocean (June 1-June 28, 1992). Each mission combined coordinated satellite, airborne, and surface observations with modeling studies to investigate the cloud properties and physical processes of the cloud systems. A subset of the ISCCP Stage DX Cloud Product (Revised Algorithm) are included for the FIRE Cirrus 1 region.
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.