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52 results for “ice particle”
Dataset for manuscript "Gaps in our understanding of ice-nucleating particle sources exposed by global simulation of the UK Earth System Model"
<p>Datasets and Jupyterlab python script for plotting all figures relevant to the mansucript "Gaps in our understanding of ice-nucleating particle sources exposed by global simulation of the UK Earth System Model" by Herbert et al.</p> <p>https://egusphere.copernicus.org/preprints/2024/egusphere-2024-1538/</p> <p>Data needs to be unzipped and paths (input and output) updated in the jupyterlab python script.</p> <p> </p>
Data for the publication "Evaluation of climatic impacts of ice nucleating particles through precipitation process with a GCM"
<p>These data are a set of annual-mean values for 5yr simulations using the MIROC6-SPRINTARS global aerosol-climate model with different treatments of precipitation (i.e., diagnostic and prognostic). The outputs include diagnostics from the satellite simulator COSP2.<br>The data are used in the manuscript entitled "Evaluation of climatic impacts of ice nucleating particles through precipitation process with a GCM". All data used in this study are available from the corresponding author upon request.</p>
The Relationship of Aerosols and Ice Nucleating Particles in Beijing - Data
<p>The data of INP concentrations from the CFDC, aerosol size distributions from the APS and mass concentrations of PM10, PM2.5 and PM1 are displayed. The data in episodes are also displayed.</p>
A 1D Model for Nucleation of Ice from Aerosol Particles: An Application to a Mixed-Phase Arctic Stratus Cloud Layer
<p>A 1D Model for Nucleation of Ice from Aerosol Particles:</p> <p>An Application to a Mixed-Phase Arctic Stratus Cloud Layer</p> <p>Daniel A. Knopf<sup>1</sup>*, Israel Silber<sup>2</sup>, Nicole Riemer<sup>3</sup>, Ann M. Fridlind<sup>4</sup>, Andrew S. Ackerman<sup>4</sup></p> <p><sup>1</sup>School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY, USA</p> <p><sup>2</sup>Department of Meteorology and Atmospheric Science, Pennsylvania State University, University Park, PA, USA</p> <p><sup>3</sup>Department of Atmospheric Sciences, University of Illinois at Urbana–Champaign, Urbana, IL, USA</p> <p><sup>4</sup>NASA Goddard Institute for Space Studies, New York, NY, USA</p> <p> </p> <p>Corresponding author: Daniel Knopf (daniel.knopf@stonybrook.edu)</p> <p> </p> <p><strong>This repository contains all model output data in netCDF format to reproduce simulation results and corresponding figures given in above listed publication.</strong></p> <p>File name description:</p> <p>Type of parameterization: <em>INN, INAS, ABIFM</em></p> <p>INP treatment, diagnostic or prognostic: <em>diag, prog</em></p> <p>Aerosol size distribution:</p> <p><em>05mu</em>: monodisperse 0.5 μm diameter</p> <p><em>15mu</em>: monodisperse 0.5 μm diameter</p> <p><em>polydisperse</em>: polydisperse particle size distribution</p> <p>Model initialization and thermodynamic data: <em>model_data</em></p> <p>Aerosol/INP data: <em>aerosol_data</em>, <em>polydisperse_data</em></p> <p>Change in ice nucleation efficiency: <em>10X, 100X</em></p>
Model simulation data used in "A global climatology of ice-nucleating particles under cirrus conditions derived from model simulations with EMAC-MADE3" (Beer et al., Atmos. Chem. Phys., 2022)
<p>This dataset contains the output and the namelist setup of the EMAC-MADE3 global model simulations analysed and discussed in Beer et al. ("A global climatology of ice nucleating particles at cirrus conditions derived from model simulations with EMAC-MADE3", <em>Atmos. Chem. Phys.</em>, 2022).</p>
Data from: Wind-driven emission of marine ice nucleating particles in the Scripps Ocean-Atmosphere Research Simulator (SOARS)
Open the record for dataset details and reuse information.
Radar dataset for 'Two layers of melting ice particles within a single radar bright band' study
<p>Radar dataset for 'Two layers of melting ice particles within a single radar bright band' study.</p> <p>Site: The University of Helsinki Station for Measuring Ecosystem-Atmosphere Relation II (SMEAR II), Hyytiälä, Southern Finland (61.845N, 24.287E).</p> <p>Time: April 18th - 19th, 2018 UTC.</p> <p>Instruments: Vertically pointing W- and C- band radars (HYDRA-W and -C). In addition to reflectivity, LDR, Doppler velocity and spectrum width that are observed by both radars, HYDRA-W records Doppler spectra. HYDRA-C operates with the maximum unambiguous Doppler velocity of 4.98 m/s. The settings of the HYDRA-W observations depend on the range. Below 996 m, the range resolution is 25.5 m and Doppler spectra are computed by using a 1024-point FFT with the Nyquist velocity of 10.24 m/s. For the heights between 996 m and 3577 m, the range resolution is kept the same, while the Doppler spectrum is computed using 512-point FFT with the Nyquist velocity of 5.12 m/s. For the heights above 3577 m, the range resolution is decreased to 34 m, while the Doppler measurements are done using the same settings. The temporal resolution of HYDRA-C and HYDRA-W measurements are 1.37 and 3.35 s, respectively. </p>
datasets for "Atmospheric Humic-Like Substances (HULIS) Act As Ice-Nucleating Particles "
<p>These are datasets for manuscript titled "Atmospheric Humic-Like Substances (HULIS) Act As Ice-Nucleating Particles "</p>
Data from: Export of ice nucleating particles from a watershed
Ice nucleating particles (INP) active at a few degrees below 0°C are produced by a range of organisms and released into the environment. They may affect cloud properties and precipitation when becoming airborne. So far, our knowledge about sources of biological INP is based on grab samples of vegetation, soil or water studied in the laboratory. By combining measurements of INP concentrations in river water with river water discharge rates over the course of 16 months, we obtained a lower limit for the production rate of INP in a watershed covering most of Switzerland (4 × 105 INP−8 m−2 d−1). Coincidentally, we found that INP−8 are likely to retain their potential for catalysing ice formation in the natural environment for at least several months before they are mobilized by an intensive rainfall, washed into the river and exported from the watershed.
Dataset for "McSnow 2.0: Explicit habit-prediction in a Lagrangian super-particle ice microphysics model"
<p>Data and plot scripts to create figures included in the paper draft "McSnow 2.0: Explicit habit-prediction in a Lagrangian super-particle ice microphysics model" (submitted to JAMES).</p> <p>This work has been funded by the German Science Foundation (DFG) under grant SE 1784/3-1, project ID 408011764 as part of the DFG priority program SPP 2115 on radar polarimetry.</p>
Datasets to: Measurement report: Introduction to the HyICE-2018 campaign for the measurements of ice nucleating particles in the boreal forest of Hyytiälä
<p>This repository contains the datasets used in the study 'Measurement report: Introduction to the HyICE-2018 campaign for the measurements of ice nucleating particles in the boreal forest of Hyytiälä'. Detailed information and technical aspects of the data can be found in the publication.</p> <p>Update (version 2 - January 2024): The repository was updated and now contains the complete HyICE-2018 datasets for the instruments uL-NIPI and PINE. </p> <p> </p>
biomass burning emission contributions to ice nucleating particles
<p># Data for "<strong>Global biomass burning emission contributions to ice nucleating particles</strong>"</p> <p>This dataset contains ice nucleating particles emitted from biomass burning at -17°C to -30°C.</p>
Single-scattering properties of ice particles in the microwave regime: Temperature effect on the ice refractive index with implications in remote sensing
<p>This database is from the paper: Ding, J., L. Bi, P. Yang, G. W. Kattawar, F. Weng, Q. Liu, and T. Greenwald, 2017: Single-scattering properties of ice particles in the microwave regime: temperature effect on the ice refractive index with implications in remote sensing, Journal of Quantitative Spectroscopy & Radiative Transfer, 190, 26-37. DOI: 10.1016/j.jqsrt.2016.11.026.</p>
Model code, data, and plot scripts for the paper "Impacts of Ice-Particle Size Distribution Shape Parameter on Climate Simulations with the Community Atmosphere Model Version 6 (CAM6)".
<p>The model codes, data, and plot scripts used in the paper, "Impacts of Ice-Particle Size Distribution Shape Parameter on Climate Simulations with the Community Atmosphere Model Version 6 (CAM6)".</p> <ul> <li>7_experiments.zip contains modified model code and output data of each experiment in this study.</li> <li>off-line test.zip contains off-line test code and output data.</li> <li>plot_scripts.zip are the NCL scripts used for figures in the paper.</li> </ul>
Model code, data, and plot scripts for the paper "Impacts of Ice-Particle Size Distribution Shape Parameter on Climate Simulations with the Community Atmosphere Model Version 6 (CAM6)".
<p>The model codes, data, and plot scripts used in the paper, "Impacts of Ice-Particle Size Distribution Shape Parameter on Climate Simulations with the Community Atmosphere Model Version 6 (CAM6)".</p> <ul> <li>Figs&Table are the NCL scripts used for figures and table in the paper.</li> <li>Model_Results contains output data of each experiment in this study.</li> <li>Mods_Scripts contains modified model code.</li> <li>Offline_Code contains off-line test code.</li> </ul>
Model code, data, and plot scripts for the paper "Impacts of Ice-Particle Size Distribution Shape Parameter on Climate Simulations with the Community Atmosphere Model Version 6 (CAM6)".
<p>The code, scripts, and data used in the paper "Impacts of Ice-Particle Size Distribution Shape Parameter on Climate Simulations with the Community Atmosphere Model Version 6 (CAM6)".</p> <ul> <li>All Figures&Table and their corresponding NCL scripts are under the directory of Figs&Table. </li> <li>The modified model code, corresponding original model code, and model run scripts are under the directory of Mods_Scripts.</li> <li>The postprocessing NCL scripts, which select useful variables from simulation results, are under the directory of PostProcessing.</li> <li>The zonal mean data from model results used for making figures and corresponding data processing scripts are under the directory of Model_Results.</li> <li>The FORTRAN code used for offline tests is under the directory of Offline_Code.</li> <li>The code, data, and NCL scripts used for the figures and table in the Appendix are under the directory of Appendix.</li> </ul>
Ice nucleation data described in "Characterization of Ice Nucleating Particles Over Northern India"
<p>The zip folder “Data files.zip” contains 74 ASCII text files of data, which were used to construct the figures in the manuscript entitled "Characterization of Ice Nucleating Particles Over Northern India", Journal of Geophysical Research-Atmospheres. The text files contain self-explanatory headers.</p>
Snow particle number, aerosol concentration and 10 meter windspeed data from MOSAiC, N-ICE, Weddel Sea expeditions and chemistry transport model data (p-TOMCAT) .
<p>The folder contains data for the MOSAiC, N-ICE and Weddell sea expedition for Snow particle counter measurements. Coarse aerosol measurements from the MOSAiC expedition are also included. Simulation data from a chemistry transport model (p-TOMCAT) is also available. This version includes both .mat and .nc files</p>
Concentration and spatial variation of atmospheric ice nucleating particles over East Antarctica retrieved from the surface snow
<p>This dataset is the INP concentration in water.</p>
dataset for "Anthropogenic dust as a significant source of ice-nucleating particles in the urban environment"
<p>These are data that correspond to the publication of "anthropogenic dust ice nucleating particles"</p>
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.