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55 results for “CESM2”

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zenodo40/100

Variable-resolution CESM2 over Antarctica (ANTSI): Monthly outputs used for evaluation.

<p>Funding generously provided by NSF Award 1952199 as well as additional support from NCAR in the creation of the dataset and the use of VRCESM.&nbsp;</p> <p>Included are outputs from an AMIP-style (data-driven ocean and sea ice) simulation of Variable-Resolution CESM2 from 1979-2015. Resolution is 1&deg; globally with a refined 0.25&deg; resolution over the Southern Ocean as well over the Antarctic ice sheet. Outputs are at a monthly timescale, and include those variables relevant for evaluation.</p> <p>Each netcdf file ends with several relevant tags to indicate &lt;source&gt;.&lt;output deisgnator&gt;.&lt;variable&gt;.&lt;time period&gt;.nc. Atmospheric variables are labeled with "cam" whereas ice sheet variables are labeled with "clm2".</p> <p>clm2.h0.SNOW.198901-199812.nc</p> <p>cam.h1.Q.198901-199812.nc</p> <p>Variables are described for CESM2 (see NCAR documentation for clm and cam)</p> <p>Variables included for cam include FLDS, FLNS, CLDICE, CLDLIQ, LHFLX, PRECC, PRECL, PRECSC, PS,Q, SHFLX, U, V, Z3</p> <p>Variables included for clm2 include FIRA, FIRE, FLDS, FSDS, FSH, QICE, QRUNOFF, QSNOMELT, QSOIL, RAIN, SNOW</p> <p>&nbsp;</p>

opencc-by-4.0Nov 2022View details →
zenodo40/100

CESM2 simulation output used in the study "On the links between ice nucleation, cloud phase, and climate sensitivity in CESM2"

<p>Provided is all CESM2 model output used to generate figures in&nbsp;the study, for which a preprint is at &#39;https://doi.org/10.22541/essoar.167214452.25853014/v1&#39;. File names indicate the experiment names used in the study. For each model experiment, there is one file containing variables in a&nbsp;present-day (PD) simulation, plus a second file containing cloud feedbacks calculated by the Zelinka et al 2012 kernel method (comparing PD to PD with 4K warming uniformly added to sea surface temperatures).</p>

opencc-by-4.0Dec 2022View details →
zenodo40/100

Monthly global grids of lidar-consistent opaque cloud fractions and altitude of attenuation 2008-2034 according to predictions from CESM2 and IPSL-CM6 GCMs

<p>Monthly global grids of opaque cloud fractions and altitude of attenuation 2008-2034 according to predictions from CESM and LMDZ GCMs.</p> <ul> <li>One file describe the CESM2 prediction (cesm.nc); one file describes the IPSL-CM6 predictions (lmdz.nc).</li> <li>Predictions from both models were obtained following the RCP8.5 scenario.</li> <li>The lidar-consistent variables were generated by the COSP lidar simulator (v1.4).</li> </ul> <p>See&nbsp;10.5194/egusphere-2022-1187 for a description of the dataset and its interpretation</p>

opencc-by-4.0Jun 2023View details →
dryad40/100

Data from: Quantifying the impact of internal variability on the CESM2 control algorithm for stratospheric aerosol injection dataset

Open the record for dataset details and reuse information.

publicMar 2024View details →
zenodo36/100

CESM2 (WACCM6) subseasonal reforecast zonal mean output

<p>This repository archives output from CESM2 (WACCM6) subseasonal reforecasts. Included is zonal mean output of all reforecasts occurring 35 days before and 7 days after any sudden stratospheric warmings from 1999-2019. Each file includes all variables and corresponds to one member&#39;s 45-day reforecast.</p> <p>The naming convention is &quot;70Lwaccm6.&lt;month of initialization&gt;.&lt;year-month-day of initialization&gt;.&lt;forecasts member&gt;.cam.h2.processed.nc&quot;.</p> <p>Variables included are date, THzm (potential temp), TROP_P (tropopause pressure), UVzm (horizontal eddy mom. flux), UWzm (vertical eddy mom. flux), Uzm (zonal wind), VTHzm (eddy heat flux), Vzm (meridional wind), and Wzm (vertical wind). All values have been interpolated onto pressure. A separate grid file with grid definitions is included.</p>

opencc-by-4.0Jan 2021View details →
zenodo36/100

Radiative Forcing of Nitrate Aerosols from 1975 to 2010 as Simulated by MOSAIC Module in CESM2-MAM4

<p>Netcdf outputs from CESM2 simulations for publication:&nbsp;Radiative Forcing of Nitrate Aerosols from 1975 to 2010 as Simulated by MOSAIC Module in CESM2-MAM4</p>

opencc-by-4.0Jun 2021View details →
zenodo36/100

Data Release for Retreat and Regrowth of the Greenland Ice Sheet During the Last Interglacial as Simulated by the CESM2-CISM2 Coupled Climate–Ice Sheet Model

<p>CESM2 and CISM2 data files for figures in "Retreat and Regrowth of the Greenland Ice Sheet During the Last Interglacial as Simulated by the CESM2-CISM2 Coupled Climate&ndash;Ice Sheet Model" (Sommers et al., 2021, Paleoceanography and Paleoclimatology)</p>

opencc-by-4.0Dec 2020View details →
zenodo36/100

CESM2 40-70N Biomass Emissions Homogenization Sensitivity Tests

This dataset, in comparison with CESM2 CMIP6 historical simulations, is used to quantify the climate response to homogenized biomass burning emissions.

opencc-by-4.0Dec 2020View details →
zenodo36/100

CESM2 Mechanically Decoupled (MD) for "Summer westerly wind intensification weakens Southern Ocean seasonal cycle under global warming" - submitted to Geophysical Research Letters

<p>CESM2 Experiment names:</p> <ul> <li>MD = mechanically decoupled model (referred to as MD in paper)</li> <li>FC = fully coupled model (referred to as FC in paper)</li> </ul> <p>Decoding file names:</p> <ul> <li>ensmean refers to ensemble mean</li> <li>trend refers to linear trend over 1950-2014</li> </ul> <p>Variables:</p> <ul> <li>SST = sea surface temperature</li> <li>HMXL = mixed layer depth</li> <li>WSPDSRFAV = horizontal total wind speed average at the surface</li> </ul>

opencc-by-4.0Apr 2024View details →
zenodo36/100

Boreal Winter Hadley Cell Contraction in Response to the Incorporation of a Comprehensive Ocean Surface Albedo in CESM2

<p>Simulated output for: &nbsp;Boreal Winter Hadley Cell Contraction in Response to the Incorporation of a Comprehensive Ocean Surface Albedo in CESM2</p>

opencc-by-4.0Nov 2024View details →
zenodo36/100

Inputdata for CESM2-3-beta07 compset F2000climo at resolution T42_T42

<p>Input data necessary to run a finite volume CESM2-3-beta07&nbsp;case with the&nbsp;F2000&nbsp;compset at resolution T42_T42</p> <p>This is a coarse grid with&nbsp;64 lat x128 lon (~310km at Equator)</p>

opencc-by-4.0Jan 2022View details →
zenodo36/100

CESM2 data for "Ocean complexity shapes sea surface temperature variability in a CESM2 coupled model hierarchy" - submitted to JCLI

<p><strong>CESM2 Experiment names:</strong></p> <ul> <li>FC = fully coupled model, CESM2 (variables freely available on https://esgf-node.llnl.gov/search/cmip6/)</li> <li>MD&nbsp;= mechanically decoupled model, CESM2</li> <li>SOM = slab ocean model, CESM2</li> </ul> <p>All datasets are for pre-industrial forcing (e.g., piControl), nominal 1-degree horizontal resolution&nbsp;</p> <p>---</p> <p>Decoding the files names:</p> <ul> <li><strong>climatology_monthly </strong>= 12 month&nbsp;climatology&nbsp;</li> <li><strong>climatology_annual</strong> = time mean climatology</li> <li><strong>variance</strong> = anomaly variance computed over time</li> </ul> <p>---</p> <p>Variables:</p> <ul> <li><strong>PRECL</strong> = large-scale convective precipitation</li> <li><strong>PRECC</strong> = convective precipitation</li> <li><strong>total precipitation (not provided but can be calculated)</strong> = PRECC + PRECL</li> <li><strong>HMXL</strong> = mixed layer depth</li> <li><strong>SST</strong> = sea surface temperature&nbsp;</li> </ul> <p><strong>Files for the CESM2 MD piControl run:</strong></p> <ol> <li>forcing_coupled.F90: POP2 (ocean) source code changes for cesm2.1.4-rc08 (search for &quot;slarson&quot; throughout code to find our changes</li> <li>cesm2.1.4-exp03-CTRL_B1850_f09_g17_hourlyclim_TAUX.nc: 6 hourly climatology for TAUX, from a FC run of CESM2. This file and the TAUY climatology&nbsp;are opened and read in the &quot;rotate wind stress&quot; subroutine in forcing_coupled.F90. This file is&nbsp;named &quot;x2oavg_Foxx_taux_6hourly.nc&quot;&nbsp;in forcing_coupled (we wanted a shorter file name in the code)</li> <li>cesm2.1.4-exp03-CTRL_B1850_f09_g17_hourlyclim_TAUY.nc: 6 hourly climatology for TAUY.&nbsp;This file is&nbsp;named &quot;x2oavg_Foxx_tauy_6hourly.nc&quot;&nbsp;in forcing_coupled&nbsp;(we wanted a shorter file name in the code)&nbsp;</li> </ol> <p>&nbsp;</p>

opencc-by-4.0Jul 2022View details →
zenodo36/100

Downscaled 11 km CESM2 data used in CESM2 Greenland SMB evaluation paper (HIST-EC)

<p>Monthly output from CESM2 simulation HIST-EC over the period 1960-1999, downscaled to the 11 km RACMO grid using elevation class output.</p> <p>Variables: EFLX_LH_TOT, FGR, FIRA, FIRE, FLDS, FSA, FSDS, FSH, FSM, FSR, QICE, QICE_MELT, QRUNOFF, QSNOFRZ, QSNOMELT, QSOIL, RAIN, RAIN_FROM_ATM, RH2M, SNOW, SNOW_FROM_ATM, TG, TSA, TSKIN, U10</p>

opencc-by-4.0Aug 2019View details →
zenodo36/100

Native CESM2 data used in CESM2 Greenland SMB evaluation paper (HIST-EC)

<p>Monthly output from CESM2 simulation HIST-EC over the period 1960-1999, from both CAM and CLM model components.</p> <p>CAM variables: FLDS, FLNS, FSDS, FSNS, LHFLX, PRECSC, PRECSL, PRECT, QFLX, SHFLX, TREFHT, TS, U10</p> <p>CLM variables: EFLX_LH_TOT, FGR, FIRA, FIRE, FLDS, FSA, FSDS, FSH, FSM, FSR, QICE, QICE_MELT, QRUNOFF, QSNOFRZ, QSNOMELT, QSOIL, RAIN, RAIN_FROM_ATM, SNOW, SNOW_FROM_CAM, TG, TSA, TSKIN, U10</p>

opencc-by-4.0Aug 2019View details →
zenodo36/100

CESM2 model output from Eisenman & Armour (2024): Part 3

<p>Description of data:&nbsp;See README.txt</p> <p>Citation for data: I. Eisenman and K. Armour (2024). The radiative feedback continuum from Snowball Earth to an ice-free hothouse. Nature Communications, https://doi.org/10.1038/s41467-024-50406-w</p> <p>See also https://eisenman-group.github.io for links to other fields from these simulations.</p>

opencc-by-4.0Aug 2024View details →
zenodo36/100

CESM2 model output from Eisenman & Armour (2024): Part 2

<p>Description of data:&nbsp;See README.txt</p> <p>Citation for data: I. Eisenman and K. Armour (2024). The radiative feedback continuum from Snowball Earth to an ice-free hothouse. Nature Communications, https://doi.org/10.1038/s41467-024-50406-w</p> <p>See also https://eisenman-group.github.io for links to other fields from these simulations.</p>

opencc-by-4.0Aug 2024View details →
zenodo36/100

CESM2 model output from Eisenman & Armour (2024): Part 1

<p>Description of data:&nbsp;See README.txt</p> <p>Citation for data: I. Eisenman and K. Armour (2024). The radiative feedback continuum from Snowball Earth to an ice-free hothouse. Nature Communications, https://doi.org/10.1038/s41467-024-50406-w</p> <p>See also https://eisenman-group.github.io for links to other fields from these simulations.</p>

opencc-by-4.0Aug 2024View details →
zenodo36/100

CESM2 model output from Eisenman & Armour (2024): Part 4

<p>Description of data:&nbsp;See README.txt</p> <p>Citation for data: I. Eisenman and K. Armour (2024). The radiative feedback continuum from Snowball Earth to an ice-free hothouse. Nature Communications, https://doi.org/10.1038/s41467-024-50406-w</p> <p>See also https://eisenman-group.github.io for links to other fields from these simulations.</p>

opencc-by-4.0Sep 2024View details →
zenodo36/100

Sensitivity of Arctic Surface Temperature to Including a Comprehensive Ocean Interior Reflectance to the Ocean Surface Albedo within the Fully Coupled CESM2

<p>CESM2 simulations were performed to study the light attenuation effects at the ocean surface layer on Arctic surface temperature. This dataset provides some simulated variables analyzed in our study.</p>

opencc-by-4.0Mar 2023View details →
zenodo36/100

CESM2 Data accompanying "Chemistry-albedo feedbacks offset up to a third of forestation's CO2 removal benefits."

<p>CESM2 Data accompanying &quot;Chemistry-albedo feedbacks from reforestation reduce climate benefits and crop yields&quot;.</p> <p>The CESM2_README provides an explanation of the diagnostics.</p> <p>These simulations were performed by Dr James King, University of Sheffield.</p>

opencc-by-4.0Mar 2023View details →

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