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20 results for “ice crystal icing”
High Frequency Under-Ice Water Temperature Buoy Data - Crystal Bog, Trout Bog, and Lake Mendota, Wisconsin, USA 2016-2020
Water temperature measurements from three Wisonsin lakes. Two bog lakes are in Northern Wisconsin, Lake Mendota is in Southern Wisconsin. Thermistor chains span the full depth of each lake. See freeze dates for periods of open or frozen lake (NTL 32, DOI 10.6073/pasta/1c1acdb5489a0355f6f8bb5c496fdf8b and NTL 33, DOI 10.6073/pasta/22a5b5f8bce193353e559918b0024f9d)
Data for Figure 8 of Publication "Additional global climate cooling by clouds due to ice crystal complexity"
<p>This repository contains the data to produce Figure 8 in the paper:</p> <p>"Järvinen, E., Jourdan, O., Neubauer, D., Yao, B., Liu, C., Andreae, M. O., Lohmann, U., Wendisch, M., McFarquhar, G. M., Leisner, T., and Schnaiter, M.: Additional global climate cooling by clouds due to ice crystal complexity, Atmos. Chem. Phys., 18, 15767–15781, https://doi.org/10.5194/acp-18-15767-2018, 2018."</p> <p>Note that the scripts are to be found in the accompanying package (http://dx.doi.org/10.5281/zenodo.8095469)</p>
The dataset by "Spectrally Consistent Scattering, Absorption, and Polarization Properties of Atmospheric Ice Crystals at Wavelengths from 0.2 to 100 μm"
<p>This is the ice crystal single-scattering property dataset introduced in the paper "Yang, Ping, et al. "Spectrally consistent scattering, absorption, and polarization properties of atmospheric ice crystals at wavelengths from 0.2 to 100 μ m." <em>Journal of the Atmospheric Sciences</em> 70.1 (2013): 330-347.".</p>
Crystal size and texture data of sea ice from the Antarctic Marginal Ice Zone collected in Winter 2019
<p>This dataset details the crystal size and texture data from the sea ice cores collected during the SCALE Winter 2019 voyage to the Antarctic Marginal Ice Zone. Each sample collected has a series of accompanying photograph figures from which the crystal size and texture are based. </p>
Crystal size and texture data of sea ice from the Antarctic Marginal Ice Zone collected in Spring 2019
<p>This dataset details the crystal size and texture data from the sea ice cores collected during the SCALE Spring 2019 voyage to the Antarctic Marginal Ice Zone. Each sample collected has a series of accompanying photograph figures from which the crystal size and texture are based. </p>
Data for the publication "Repurposing weather modification for cloud research showcased by ice crystal growth"
<p><span>This repository contains the data of the publication:</span></p> <p><span>"Repurposing weather modification for cloud research showcased by ice crystal growth"</span></p> <p><span>Ramelli et al., 2024, PNAS Nexus</span></p>
Data from the NASCENT campaign used in the publications: "Conditions favorable for secondary ice production in Arctic mixed-phase clouds" and "Understanding the history of two complex ice crystal habits deduced from a holographic imager"
<p>This repository contains the data from the Ny‐Ålesund AeroSol Cloud ExperimeNT campaign (NASCENT). This data were used to produce the figures in the two papers:</p> <p>(1) Pasquier, J. T., Henneberger, J., Ramelli, F., Korolev, A.,Wieder, J., Lauber, A., Li, G., David, R. O., Carlsen, T., Gierens, R., Maturilli, M., and Lohmann, U.: Understanding the history of two complex ice crystal habits deduced from a holographic imager, Geophys. Res. Lett., accepted, 2022</p> <p> </p> <p>(2) Pasquier J. T., Henneberger J., Ramelli F., Lauber A., David O. D., Wieder J., Carlsen T., Gierens R., Maturilli M., and Lohmann U.:Conditions favorable for secondary ice production in Arctic mixed-phase clouds, ACP, accepted.</p> <p>More information can be found in the README files.</p> <p> </p> <p>The scripts to reproduced the Figures are available on Zenodo</p> <p>(1) https://doi.org/10.5281/zenodo.7402296</p> <p>(2) https://doi.org/10.5281/zenodo.7407107</p>
Experimental and Simulation Data for "Hierarchical structure formation by crystal growth-front instabilities during ice templating" (2023) PNAS
<pre>Experimental and Simulation Data for: "Hierarchical structure formation by crystal growth-front instabilities during ice templating" by Kaiyang Yin, Kaihua Ji, Louise Strutzenberg Littles, Rohit Trivedi, Alain Karma, Ulrike G.K. Wegst (2023) PNAS, DOI: 10.1073/pnas.2210242120. </pre>
Simulated top-of-atmosphere (120 km) downward and upward solar and thermal-infrared irradiances and ice cloud optical thickness; calculated solar, TIR and net cloud radiative effect. Simulated with ice crystal properties for aggregates, droxtals, and plates based on Yang (2013).
<p>This dataset consists of three .nc files for ice crystal shapes of aggregates, plates, and droxtals. The files include ice cloud optical thickness <span class="math-tex">\(\tau\)</span> (550nm), the simulated upward and downward irradiances <span class="math-tex">\(F\)</span> at the top-of-atmosphere (with and without the presence of the ice cloud), and the calculated ice cloud radiative effect <span class="math-tex">\(\Delta F\)</span> (solar [0.3-3.5 <span class="math-tex">\(\mu\)</span>m], thermal-infrared [3.5-75 <span class="math-tex">\(\mu\)</span>m], and net). The data set allows the user to extract <span class="math-tex">\(\Delta F\)</span> values for their parameter combinations. The available cloudy and cloud-free irradiances further allow to calculate the cirrus radiative effect (RE) by scaling the 'cloudy' RE with the required cloud cover. This serves as a first-approximation because, as 3D effects are neglected.</p>
North Temperate Lakes site, station Bog 27-2 (Crystal Bog), study of ice duration in units of daysPerYear on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from North Temperate Lakes (NTL) contains ice duration measurements in daysPerYear units and were aggregated to a yearly timescale.
North Temperate Lakes site, station Bog 27-2 (Crystal Bog), study of time in a year that a body of water is free of ice in units of days on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from North Temperate Lakes (NTL) contains time in a year that a body of water is free of ice measurements in days units and were aggregated to a yearly timescale.
North Temperate Lakes site, station Crystal Lake, study of ice duration in units of daysPerYear on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from North Temperate Lakes (NTL) contains ice duration measurements in daysPerYear units and were aggregated to a yearly timescale.
North Temperate Lakes site, station Crystal Lake, study of time in a year that a body of water is free of ice in units of days on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from North Temperate Lakes (NTL) contains time in a year that a body of water is free of ice measurements in days units and were aggregated to a yearly timescale.
Code for ESS publication - Quantifying the uncertainty of ice-crystal-related parameters to simulated winter precipitation over the Korean Peninsula
<p>In this repository, we include the source codes used in the ESS publication "Quantifying the uncertainty of ice-crystal-related parameters to simulated winter precipitation over the Korean Peninsula"</p><p>There are WDM6 codes and parameter sets in "Model_codes" for WRF simulation, model output files in "Model_outputs", AWS datas in "AWS", Scripts for calculating statistical values in a table in "Table", and "Figures" has a scripts for the figure of the manuscript.</p><p>In "Model_codes", the text file starting with LHS is 50 parameters sets generated by the Latin hypercube sampling method, and the text files starting with the case are the set of parameters used for the SEN experiment for each case. There are two WDM6 codes, the CTL code uses the parameter set in Table 1 as CTL, and the LHS code uses the 50 parameters set in the text file.</p><p>In "Figures", there is a script corresponding to each figure of the paper.</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>
Decreased aviation leads to increased ice crystal number and a positive radiative effect
<p>This is the dataset to support our paper titled of "Decreased aviation leads to increased ice crystal number and a positive radiative effect". Travel restrictions in the wake of the COVID-19 pandemic resulted in an unprecedented decrease of 73% in global flight mileage in April-May 2020 compared to 2019. Here we examine the CALIPSO satellite observations and find a significant increase in ice crystal number concentrations (Ni) in cirrus clouds in the mid-latitudes of the Northern Hemisphere, which we attribute to an increase in homogeneous freezing when soot from aircraft emissions is reduced. A relatively small positive radiative effect of 21 mWm<sup>-2</sup> is estimated if a decrease in aircraft traffic continues. We infer from this analysis that the worldwide adoption of biofuel blending in aircraft fuels that lead to smaller soot emissions could lead to a significant change in the microphysical properties of cirrus clouds but a rather small positive radiative effect.</p> <p>This dataset including three sections. The data are model output or input from climate simulations conducted with Community Earth System Model (CESM) version 1.2.2 with IMPACT aerosol module. The input files are default in the component set of "FC5" in the CESM model. The files in the dataset are described below:</p> <p><strong>Model code.zip: </strong>This tar file contains the sources code of the IMPACT aerosol module that we implemented as additional aerosol module embedded in the CESM model which is publicly available from NCAR repository. This code is used to create model output list in this dataset.</p> <p><strong>2020_act.rar: </strong>This tar file contains NetCDF out file of daily mean meteorological and aerosol fields during January and May in 2020 from the model based on the actual aviation activity in 2020.</p> <p><strong>2020_yes.rar: </strong>This tar file contains NetCDF out file of daily mean meteorological and aerosol fields during January and May in 2020 from the model assuming the aviation activity in 2020 is same as 2019.</p> <p><strong>Year_act.zip: </strong>This tar file contains NetCDF out file of annual mean meteorological and aerosol fields in the next five years from the model assuming the aviation restriction in 2020 last for the next five years.</p> <p><strong>Year_yes.zip: </strong>This tar file contains NetCDF out file of annual mean meteorological and aerosol fields in the next five years from the model assuming the aviation activity keeping same as 2019 in the next five years.</p> <p><strong>filght.zip:</strong> The FlightRadar24 commercial database of flight mileages from January 2019 to May 2020 at 1°x1° resolution, which were used as input file in our model.</p> <p> </p> <p> </p>
Single-Scattering property database of randomly oriented very complex ice crystals in the microwave
<p>A database consisting of the single-scattering properties of budding rosette aggregates and rosette aggregates calculated at frequencies in the mm-wave and sub-mm-wave regions of the electromagnetic spectrum. The full set of single-scattering properties have been made available at the temperatures of -83 degree C, -43 degree C, and -3 degree C at the frequencies of 50, 183 and 243 GHz. Other frequencies will become available once completed in the sub-mm-wave region of the spectrum. The maximum dimensions of the ice crystals vary between 10 and 10,000 microns. The accompanying data is made available under the terms of the Non-Commercial Government License https://www.nationalarchives.gov.uk/doc/non-commercial-<br> government-licence/version/2/</p>
Data for publication "Chasing ice crystals: interlinking cloud microphysics and dynamics in cloud seeding plumes with Lagrangian trajectories"
Open the record for dataset details and reuse information.
Phase Field model of ice crystallization in sugar solutions
<p>Phase Field model of ice crystallization in sugar solutions</p>
Are neural network potentials trained on liquid states transferable to crystal nucleation? A test on ice nucleation in the mW water model
<p>Dataset used to train the neural network potential for reproducing mW nucleation.</p>
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