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84 results for “ice temperature”
Temperature and ice draft data
<p>Temperature and ice draft data related to the submitted manuscript. More metadata will be included upon acceptance of the manuscript. </p>
Relative importance of meridional and zonal sea surface temperature gradients for the onset of the ice ages and Pliocene-Pleistocene climate evolution
<p>Climatologies from the 3 different model simulations performed for the paper published in Paleoceanography (2010, v25, issue 2, <a href="https://doi.org/10.1029/2009PA001809">https://doi.org/10.1029/2009PA001809</a>). This table shows how the names of the simulations provided here relate to the names in the paper:</p> <table align="center"> <caption>Simulation names for cross-referencing</caption> <thead> <tr> <th scope="col">Name of Files</th> <th scope="col">Name in Article</th> </tr> </thead> <tbody> <tr> <td>EPSST_T_85.*.nc</td> <td>Early Pliocene Simulation</td> </tr> <tr> <td>New_MZSST_T_85.*.nc</td> <td>Modern Zonal Simulation</td> </tr> <tr> <td>ctl_85_Kerry.*.nc</td> <td>Modern Control Simulation</td> </tr> </tbody> </table> <p>Additionally the NCL script originally used to create all the figures is included. It is called paleoc_onsetNHG_rev.ncl. The abstract of the paper is below:</p> <p>"During the early Pliocene (roughly 4 Myr ago), the ocean warm water pool extended over most of the tropics. Subsequently, the warm pool gradually contracted toward the equator, while midlatitudes and subpolar regions cooled, establishing a meridional sea surface temperature (SST) gradient comparable to the modern about 2 Myr ago (as estimated on the eastern side of the Pacific). The zonal SST gradient along the equator, virtually nonexistent in the early Pliocene, reached modern values between 1 and 2 Myr ago. Here, we use an atmospheric general circulation model to investigate the relative roles of the changes in the meridional and zonal temperature gradients for the onset of glacial cycles and for Pliocene-Pleistocene climate evolution in general. We show that the increase in the meridional SST gradient reduces air temperature and increases snowfall over most of North America, both factors favorable to ice sheet inception. The impacts of changes in the zonal gradient, while also important over North America, are somewhat weaker than those caused by meridional temperature variations. The establishment of the modern meridional and zonal SST distributions leads to roughly 3.2°C and 0.6°C decreases in global mean temperature, respectively. Changes in the two gradients also have large regional consequences, including aridification of Africa (both gradients) and strengthening of the Indian monsoon (zonal gradient). Ultimately, this study suggests that the growth of Northern Hemisphere ice sheets is a result of the global cooling of Earth's climate since 4 Myr rather than its initial cause. Thus, reproducing the correct changes in the SST distribution is critical for a model to simulate the transition from the warm early Pliocene to a colder Pleistocene climate."</p> <p> </p>
Data used in "Observation of secondary ice production in clouds at low temperatures"
<p>To support open research, the data used in Korolev et al 2022 "Observation of secondary ice production in clouds at low temperatures" submitted to Atmospheric Chemistry and Physics has been provided here. <br> This in-situ data was collected by Environment and Climate Change Canada (ECCC) in collaboration with the National Research Council (NRC) on the NRC Convair-580 research aircraft on March 25 2017 between 11:00 and 12:00 UTC.<br> Radar data included was collected and processed by N. Cuong and M. Wolde of NRC Canada. <br> </p>
Thermal conductivity of ice at various temperatures
<p><strong>Thermal conductivity of ice at various temperatures</strong></p> <p>Junjie Chen</p> <p>Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com, Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China</p> <p> </p> <p>Ice is water frozen into a solid state, typically forming at or below temperatures of 0 degrees Celsius or 32 degrees Fahrenheit. Depending on the presence of impurities such as particles of soil or bubbles of air, it can appear transparent or a more or less opaque bluish-white color. Ice exhibits at least eighteen phases, depending on temperature and pressure. When water is cooled rapidly, up to three types of amorphous ice can form depending on its history of pressure and temperature. As a naturally occurring crystalline inorganic solid with an ordered structure, ice is considered to be a mineral. It possesses a regular crystalline structure based on the molecule of water, which consists of a single oxygen atom covalently bonded to two hydrogen atoms. However, many of the physical properties of water and ice are controlled by the formation of hydrogen bonds between adjacent oxygen and hydrogen atoms; while it is a weak bond, it is nonetheless critical in controlling the structure of both water and ice.</p> <p> </p> <p>Thermodynamic temperature (degrees kelvin), Thermal conductivity (watts per meter-kelvin)</p> <p>273.15 2.09</p> <p>253.15 2.161</p> <p>233.15 2.232</p> <p>213.15 2.303</p> <p>193.15 2.374</p> <p>173.15 2.445</p> <p>273.15 2.2199</p> <p>253.15 2.3854</p> <p>233.15 2.6322</p> <p>213.15 2.9603</p> <p>193.15 3.3695</p> <p>173.15 3.8601</p> <p>273.15 2.0914</p> <p>253.15 2.2973</p> <p>233.15 2.5431</p> <p>213.15 2.841</p> <p>193.15 3.2086</p> <p>173.15 3.6723</p> <p>273.15 2.092</p> <p>143.15 2.552</p>
Sea ice core temperature and salinity data collected during the 2022 SCALE Winter Cruise
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Greenland Ice Sheet precipitation and surface temperature from CloudSat and ECMWF
<p>This dataset contains code, data, and instructions for recreating the figures and analysis in Thompson-Munson et al. (submitted), "An Observational Constraint for Future Greenland Rainfall in a Warmer Atmosphere". Please see the readme for instructions and descriptions of the data and code.</p>
Supplement to "Retrieval of an ice water path over the ocean from ISMAR and MARSS millimeter and submillimeter brightness temperatures"
<p>This data set is was used for the retrieval of ice water path of a precipitating frontal system west of the coast of Iceland using the millimeter/submillimeter radiometer International SubMillimetre Airborne Radiometer (ISMAR) and Microwave Airborne Radiometer Scanning System (MARSS) on board the (Facility for Airborne Atmospheric Measurements) FAAM BAE-146.</p> <p>It is a supplement to the journal article "Retrieval of an ice water path over the ocean from ISMAR and MARSS millimeter and submillimeter brightness temperatures", which will be published in Atmospheric Measurement Techniques (AMT).</p> <p>The data set consists of</p> <ul> <li>the observed brightness temperatures of ISMAR and MARSS (FAAM_Flight_B897_radiometer-data.zip)</li> <li>the simulated brightness temperatures of ISMAR and MARSS and the corresponding atmospheric states (FAAM_Flight_B897_simulation.zip)</li> <li>the retrieval training database, which has been used to train the neural network retrieval.</li> </ul>
Compilation of δO2/N2 records, and accumulation rate and temperature reconstructions from various polar ice cores
<p>Compilation of δO2/N2 records, and accumulation rate and temperature reconstructions from various polar ice cores. The first file 'Compilation_Acc_T_2024.xlsx' contains published temperature and accumulation rate reconstructions which were used to make Figure 3 in the associated paper. The datasets are included as published (i.e., no interpolation onto age or depth scales). Depth/age ranges considered in study are indicated in Table 3 in associated paper. The second file 'Compilation_O2N2_2024.xlsx' contains published and unpublished δO2/N2 data. </p>
Projections of Precipitation and Temperatures in Greenland and the Impact of Spatially Uniform Anomalies on the Evolution of the Ice Sheet
<p>Supplementary data used in the article <em>Projections of Precipitation and Temperatures in Greenland and the Impact of Spatially Uniform Anomalies on the Evolution of the Ice Sheet</em> submitted to The Cryosphere.</p> <p>Please cite the corresponding paper if you use this data. </p> <p>We supply</p> <ol> <li>the regridded CMIP6 precipitation (pr) and temperature (tas) model output for Greenland.</li> <li>local precipitation-near surface temperature sensitivities for each model in the folder <em>local_slopes_precipitation</em></li> <li>The monthly anomalies for near-surface temperature and precipitation as well as the local change in precipitation (compare to the climatology, in %) with respect to the climatology (year 1980-200) in the folder <em>2100_anomalies</em></li> <li>The CMIP6 monthly climatology from the years 1980-2000 (precipitation & near-surface temperature) </li> <li>The monthly precipitation and near-surface temperature anomalies from 2015-2100 in the folder <em>2100_85years</em></li> </ol> <p> </p> <p>License of CMIP6 model output: </p> <p>CMIP6 model data produced is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0; https://creativecommons.org/licenses/). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file). The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</p>
Data and Software for: Evidence for Water Ice in Lunar Permanently Shadowed Regions using neutrons, topography and temperature
<p>This archive contains both Data and Software archives that were used to develop and are described in the paper "Evidence for Widespread Hydrogen Sequestration within the Moon’s South Polar Cold Traps"<strong>. </strong>The paper is accepted in the Planetary Science Journal (PSJ), designated AAS46467R3</p> <p>The archive is a tarr'ed and compressed file with a Data and Software subdirectories.</p> <p>Software directory contains several programs written in the Interactive Data Language v. 8.8.3</p> <p>Data directory contains figures and output that were derived for the publication, in several forms</p> <p>The software analyzes public domain lunar south polar neutron, topography and temperature observations to show evidence for water ice in permanently shadowed regions and the latitude extent of observed water ice to 77 deg S. Input data are provided by NASA's Planetary Data System (PDS).</p> <p>Keywords: LEND, Lunar, LRO, topography, water, hydrogen, south pole, permanently shadowed region, temperature</p> <p> </p> <p> </p>
ACCESS-ESM-1.5 net-zero emissions 1000-year long simulations: Seasonal temperature and precipitation gridded data with area-average timeseries of temperature, precipitation and sea ice data
<p>NetCDF files used in analysis shown in King et al. (2024) https://egusphere.copernicus.org/preprints/2024/egusphere-2023-2961/.</p> <p>Seasonal-average mapped 1.5 metre air temperature temperature data are in NetCDFs with "fld_s03i236" in their name. These files are for boreal summer "JJA" or boreal winter "DJF". The "B20__" represents the start year of the net-zero emissions simulation from which these data are drawn. These files each have 1000 time-steps and the data are in native resolution of ACCESS-ESM-1.5: 1.875 degrees longitude by 1.25 degrees latitude.</p> <p>Seasonally-averaged precipitation rate (kg/m2/s) data are in NetCDFs with "fld_s05i216" in their name. Seasons and simulation information follow the same format as the temperature files.</p> <p>The file "ts_gwl.nc" includes several timeseries used in the paper including global-average SST ("TEMP_SURFACE"), global mean ocean temperature ("TEMP_GLOBAL"), and March/September Arctic ("ICEN") and Antarctic ("ICES") sea ice extent.</p> <p>The scripts used to make the Figures are included and run using IDL version 9.0. </p> <p>For any advice on using these files please feel free to contact me: andrew.king@unimelb.edu.au.</p>
Sea-ice, primary productivity and ocean temperatures at the Antarctic marginal zone during late Pleistocene
<p>These data in excel refer to all proxies used to reconstruct late Quaternary sea ice and productivity in in cape Adare, Ross Sea, Antarctica, for the publication in Quaternary Science Reviews, for open access </p>
Monthly average profiles of Distributed Temperature Sensing at Thwaites Eastern Ice Shelf
<p>Monthly average profiles of Distributed Temperature Sensing (DTS) for Thwaites Eastern Ice Shelf used in Dotto et al. (under review). The profiles are from April 2020, September 2020 and February 2021 and cover the ice-shelf-ocean interface depths. DTS utilizes a fibre-optic cable installed within the ice and through the ocean, and it uses Raman backscattered photons to estimate the in situ temperature of the fiber (Hausner et al 2011). The DTS interrogators (Silixa XT-DTS, Silixa LLC. Elstree, UK) used a spatial sampling of 25 cm. Each DTS profile uses a 1-minute integration time to reduce signal to noise. Independent temperature measurements from the MicroCATs are employed to calibrate the backscatter signal (Tyler et al., 2013; Hausner et al 2011).</p> <p> </p> <p>Hausner, M. B., Suárez, F., Glander, K. E., van de Giesen, N., Selker, J. S. & Tyler, S. W. Calibrating single-ended fiber-optic Raman spectra distributed temperature sensing data. Sensors (Basel), 11(11), 10,859–10,879 (2011).</p> <p>Tyler, S. W., Holland, D. M., Zagorodnov, V., Stern, A. A., Sladek, C., Kobs, S., White, S., Suárez, F. & Bryenton, J. Using distributed temperature sensors to monitor an Antarctic ice shelf and sub-ice-shelf cavity. Journal of Glaciology, 59(215), 583–591 (2013).</p> <p>Dotto, T. S., Heywood, K., Hall, R. et al. Ocean variability beneath Thwaites Eastern Ice Shelf driven by the Pine Island Bay Gyre strength, 11 October 2022, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-1466534/v1]</p>
Reconstructed upper-ocean temperature, salinity, and sea ice at the Last Glacial Maximum
<p>These data accompany the published article</p> <p>Amrhein, D. E., Wunsch, C., Marchal, O., & Forget, G. (2018). A global glacial ocean state estimate constrained by upper-ocean temperature proxies. <em>Journal of Climate</em>, <em>31</em>(19), 8059-8079. <a href="https://doi.org/10.1175/JCLI-D-17-0769.1">https://doi.org/10.1175/JCLI-D-17-0769.1</a></p> <p>Seasonal reconstructions of upper-ocean temperatures, salinity, and sea ice concentrations from Amrhein et al. (2018). Two sets of fields are available: GLACIAL, from the last glacial maximum ocean state estimation, and MODERN, from a similar model configuration but run to quasi-equilibrium under modern forcing conditions. GLACIAL minus MODERN anomaly values are likely to be more robust than standalone values from GLACIAL because of ocean drifts over millennial time scales present in both GLACIAL and MODERN. See publication for further information. See the MITgcm documentation for additional details on model variables.</p> <p>Files in Amrhein_etal_2018_LGM_MODERN_area_heff_seasonal.mat are:</p> <p>lat: Vector of latitudes<br> lon: Vector of longitudes<br> lgm_areai_seas: Monthly maps of fractional sea ice area estimated at the LGM<br> lgm_heffi_seas: Monthly maps of sea ice thickness estimated at the LGM<br> mod_areai_seas: Monthly maps of fractional sea ice area simulated for modern climate<br> mod_heffi_seas: Monthly maps of sea ice thickness simulated for modern climate</p> <p>Files in Amrhein_etal_2018_LGM_MODERN_T_SST_seasonal.mat are:</p> <p>lat: Vector of latitudes<br> lon: Vector of longitudes<br> lgm_Si_seas: Monthly maps of upper-ocean salinity estimated at the LGM<br> lgm_Ti_seas: Monthly maps of upper-ocean temperature estimated at the LGM<br> mod_Si_seas: Monthly maps of upper-ocean salinity simulated for modern climate<br> mod_Ti_seas: Monthly maps of upper-ocean temperature simulated for modern climate</p> <p>A simple plot of, e.g., estimated LGM January upper-ocean temperatures can be made in MATLAB by putting the file in your working directory and running</p> <pre><code>load Amrhein_etal_2018_LGM_MODERN_T_SST_seasonal.mat pcolor(lon,lat,lgm_Si_seas(:,:,1)),shading flat</code></pre> <p>These data are a subset of those generated in the full state estimate. If additional variables are needed, please contact damrhein@ucar.edu and I can update this repository.</p>
Replication data for: Future response of Antarctic continental shelf temperatures to ice shelf basal melting and calving
<p>Replication data for: Future response of Antarctic continental shelf temperatures to ice shelf basal melting and calving</p> <p>This manuscript is in press at Geophysical Research Letters.</p> <p><a href="https://zenodo.org/api/files/e04b47c6-d136-4833-b8c6-a79f5b05eb65/SSP585FW_ensemble.tar.gz?versionId=6f33274b-a436-4850-99a8-9dac047b812b">SSP585FW_ensemble.tar.gz</a> contains data needed to replicate the figures and analysis in the manuscript.</p>
Data for sea ice transparency with temperature
<p>This dataset is the result of three temperature experiments for the study of the variation characteristics of sea ice diffuse attenuation with temperature.</p>
NEEM seasonal dO18 data for "Climate information preserved in seasonal water isotope at NEEM: relationships with temperature, circulation and sea ice"
<p>NEEM seasonal dO18 data over the period 1855-2004.</p> <p><strong>Please cite the following reference when using the data:</strong></p> <p>Zheng, M., Sjolte, J., Adolphi, F., Vinther, B. M., Steen-Larsen, H. C., Popp, T. J., and Muscheler, R.: Climate information preserved in seasonal water isotope at NEEM: relationships with temperature, circulation and sea ice, Climate of the Past, 14, 1067-1078, <a href="https://doi.org/10.5194/cp-14-1067-2018">https://doi.org/10.5194/cp-14-1067-2018</a>, 2018.</p> <p> </p>
Data supporting 'The Response of Midlatitude Surface Temperature Persistence to Arctic Sea-Ice Loss' by Neil T Lewis, William J M Seviour, Hannah E Roberts-Straw, and James A Screen.
<p>Data supporting Lewis et al., 2023. The Response of Midlatitude Surface Temperature Persistence to Arctic Sea-Ice Loss. Submitted to Geophysical Research Letters.</p><p>All model output is contained within the folder data/. All data is in NetCDF format.</p><p>The folder data/PAMIP/ contains output from coupled AOGCMs that contributed piArcSIC and futArcSIC timeslice runs to PAMIP. The AOGCMS present are: HadGEM3-GC31-MM, IPSL-CM6A-LR, CESM2-WACCM6, and CESM-WACCM-SC. For each model + run, two data files are included. One contains the autocorrelation of surface temperature, at 5, 10, and 15 day lags. The second contains the frequency and duration of persistent extremes (as defined in Lewis et al., 2023).</p><p>Additional output is included in data/PAMIP/ from extended pdSIC-ext and futArcSIC-ext experiments run using CNRM-CM6-1. For each run, a file containing the autocorrelation of surface temperature (as above) is included.</p><p>The folder data/CMIP/ contains output from CMIP6 historical/SSP585 runs using three of the models listed above: HadGEM3-GC31-MM, IPSL-CM6A-LR, and CESM2-WACCM6. For each model, 'pre-industrial' and 'future' output is available. Output in these files was computed from 30-year time-periods, subsampled from the historical/SSP585 runs, selected so that the 30-year average sea-ice area matched that in the corresponding PAMIP runs above. For each model and time period, two data files are included. One contains the autocorrelation of surface temperature, at 5, 10, and 15 day lags. The second contains the frequency and duration of persistent extremes (as defined in Lewis et al., 2023).</p><p>Output is also included in data/CMIP/ from CNRM-CM6-1 'present day' and 'future' time periods, selected to match the sea-ice area in the CNRM -ext PAMIP runs. For this model, output files contain the autocorrelation of surface temperaure. </p>
Mean daily river temperature of the Coppermine River, Nunavut, during the ice-free season 2018-2023
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Ice gliding diatoms establish record-low temperature limits for motility in a eukaryotic cell
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