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Dataset results
6 results for “HiLAT”
Ocean model fields shown in paper titled "E3SMv0-HiLAT: A Modifed Climate System Model Targeted for the Study of High Latitudes"
<p>These files contain ocean model climatology, averaged over years 234-253 of the E3SMv0-HiLAT model preindustrial simulation, as generated by the CESM diagnostic package. Files are in netcdf format, with fields described within the file (and subsequently compressed).</p>
Sea ice model fields shown in paper titled "E3SMv0-HiLAT: A Modified Climate System Model Targeted for the Study of High Latitude Processes
<p>These files contain the full climatology, averaged over years 234-253 of the E3SMv0-HiLAT model preindustrial simulation, as generated by the CESM diagnostic package. Files are in netcdf format, with fields described within the file (and subsequently compressed).</p>
More atmospheric model fields shown in paper titled "E3SMv0-HiLAT: A Modified Climate System Model Targeted for the Study of High Latitude Processes
<p>These files contain atmospheric climatology, averaged over years 234-253 of the E3SMv0-HiLAT model preindustrial simulation, as generated by the CESM diagnostic package. Files are in netcdf format (subsequently compressed), with fields described within those files.</p>
Some atmospheric model fields shown in paper titled "E3SMv0-HiLAT: A Modified Climate System Model Targeted for the Study of High Latitude Processes
<p>These files contain 2-D fields of atmospheric T and P maps, as climatologies averaged over years 234-253 of the E3SMv0-HiLAT model preindustrial simulation, and from the CESM Large Ensemble control simulation (LENS), the basis for two of the plots in our manuscript that is, as of January 2019, in review at JAMES. All of these data files are binary, written sequentially, 288 x 192. Also included are some PowerPoint-generated pdf images of the two fields.</p>
Atmospheric and sea ice model fields from the perturbed parameter ensemble E3SMv0-HILAT used to examine emergent relationships among climate variables in the Arctic
<p>These files contain time series of several sea ice ad atmospheric fields produced in an ensemble of perturbed parameter simulations using the E3SMv0-HiLAT model. The time series are used to produced seasonal means, which are used to examine emerging relationships in the ensemble discussed in our manuscript, as of September 2019, in review at JGR</p>
CORE inter-annual forced ocean ice simulation using E3SMv0-HiLAT-tx0.3v2 (HiLAT03)
<p>This data set supports the analysis presented in the manuscript: “Labrador Sea freshening linked to Beaufort Gyre freshwater release” (LA-UR-20-20936), which is under review for publication by Nature Communications. The model output is from a 186-year long simulation with the E3SMv0-HiLAT code that was described in the technical report: “An eddy-permitting ocean-sea ice general circulation model (E3SMv0-HiLAT03): Description and evaluation” (LA-UR-19-25177; doi: 10.2172/1542803), by Zhang et al.. The ocean and sea ice components are active, and their grid is configured with a nominal 0.3 degree horizontal resolution. The model is forced by an atmospheric data set that represents the atmospheric state from 1948 through 2009, and is repeated for 3 cycles.</p> <p>#----------------------------------------------------------------------------------------------------------<br> # Data description<br> # Fri Jul 24 16:55:12 MDT 2020<br> # Contacts: Jiaxu Zhang (jiaxuzh@uw.edu) and Wilbert Weijer (wilbert@lanl.gov)<br> #----------------------------------------------------------------------------------------------------------<br> Simulation length: 186 years<br> Simulation machine: LANL HPC facility, on Grizzly<br> Case name: t32_GIAF_woa13rest_deepenNares_Griz<br> Time range: 012101-018612 (corresponding to Jan 1948 to Dec 2009)<br> Grid file: gridFile/tx0.3v2_grid.nc<br> In the post-processed files:<br> pop = ocean output from POP2<br> mon = monthly<br> ann = annual mean<br> clim = monthly climatology<br> ltm = long-term annual mean<br> dec = decadal mean<br> YYYYMM-YYYYMM = time range<br> FastRel = Fast release case, corresponding to the 016001-017212 period<br> FastAcc = Fast accumulation case, corresponding to the 017301-018512 period<br> NH = data only contain the Northern Hemisphere</p> <p>Similarly, there are files for "BG" (Beaufort Gyre), "Davis_Strait", "Fram_Strait", "Labrador_Sea", "Labrador_Sea_Outflow", "Lancaster_Sound", and "Nares_Strait". These regions are illustrated in Figure 1 of the manuscript.</p> <p>Variable names:<br> SALT = salinity<br> UES = East flux of SALT<br> UVEL = Zonal Velocity<br> VNS = North flux of SALT<br> VVEL = Meridional velocity<br> DYE01 = dye tracer that tags the Beaufort Gyre freshwater (from surface to the reference salinity of 34.6)<br> DSALT01 = salt tracer that tags the Beaufort Gyre salinity (from surface to the reference salinity of 34.6)<br> UE_DSALT01 = East flux of DSALT01<br> VN_DSALT01 = North flux of DSALT01</p> <p>In the transport folder:<br> File names: transport.[StraitName].012101-018612.txt<br> Content: Diagnosed transport at a specific strait.<br> Structure: 4 columns are<br> 1. Model time (days since 0001-01)<br> 2. Volume transport (Sv)<br> 3. Heat transport (PW)<br> 4. Liquid freshwater transport (mSv)<br> For all the transports, positive is poleward, negative is equatorward.</p> <p><br> File names: [CaseName].transport.BG_portion.[StraitName].txt<br> Content: Diagnosed BG-sourced transport at a specific strait for either FastRel or FastAcc case.<br> Structure: 8 columes are<br> 1. Model time (days since 0001-01)<br> 2. Volume transport (Sv)<br> 3. Liquid freshwater transport (mSv)<br> 4. Validation data, please ignore<br> 5. Validation data, please ignore<br> 6. Volume transport sourced from BG alone (Sv)<br> 7. Liquid freshwater transport sourced from BG alone (mSv)<br> 8. Validation data, please ignore</p> <p> </p> <p> </p> <p> </p> <p> </p>
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