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60 results for “cesm”
CESM experiments for intraseasonal oscillation intensity changes in El Niño and La Niña developing summers
<p> Experiments are conducted using version 5.2 of Community Atmospheric Model (CAM-5.2; https://www.cesm.ucar.edu/models/cesm1.1/cam/). CAM is the atmosphere component of Community Earth System Model (CESM) developed by the National Center for Atmospheric Research (NCAR). The model resolution used in this study is f19_g16, with f19 finite volume grid (1.9º latitude by 2.5º longitude) for the atmosphere and land components combined with the gx1v6 displaced pole grid (approximately 1º) for the ocean and ice components.</p> <p> Four sets of numerical experiments are performed in this study:</p> <ol> <li>Full SST forcing simulation (full-SST run): The CAM is forced by global monthly OI SST and integrated from January 1982 to December 2020.</li> <li>Climatological SST forcing simulation (CLM-SST run): The CAM is integrated for 30 years forced by global climatological mean monthly SST obtained from OI SST data for the period of January 1982 to December 2020.</li> <li>Tropical central-eastern Pacific SST forcing simulation (CEP-SST run): The SST forcing field is composed of two parts: total monthly SST in the domain of 15°S-15°N and 160°E-80°W and climatological mean monthly SST in the other regions. The CAM is integrated from January 1982 to December 2020.</li> <li>Sensitivity experiments of tropical central-eastern Pacific SST anomalies during ENSO events: Composite SST anomalies in El Niño and La Niña events in the region of 15°S-15°N and 160°E-80°W and the above SST anomaly fields multiplied by -1 are added to climatological mean monthly SST from May to December. Climatological mean monthly SST is used in the other regions and months. The CAM is integrated for 30 years in these experiments. These experiments are referred to as EPEL, EPLA, EPEL-reverse and EPLA-reverse, respectively.</li> </ol>
CESM data: Response of the low-level jet to precession and itsimplications for proxies of the Indian monsoon
<p>This repository contains the simulation output of precession minimum and maximum experiments carried out using the CESM 1.2.0. The experimental setup is the same as that of Bosmans et al. (2014). Each simulation is run of 100 years, and the Jun-Jul-Aug mean of the last 50 years of the simulation is provided here. The climatological monthly mean of total precipitation from the pre-industrial control simulation is also deposited here. </p> <p> </p> <p>Contact: Chetankumar Jalihal<br> email: jalihal@iisc.ac.in</p> <p> </p> <p>Acknowledgments:<br> These simulations were carried out as a part of Chetankumar Jalihal's Ph.D. thesis, funded by the Ministry of Human Resource Development, Government of India, and the Centre for Excellence in the Divecha Centre for Climate Change (DCCC), supported by the Department of Science and Technology, Government of India. We also acknowledge the Supercomputer Education and Research Centre (SERC), Indian Institute of Science, Bangalore, for making available the computation facilities to carry out the simulations.</p>
CESM 1.2 climate model simulation output for: The Essential Role of Westerly Wind Bursts in ENSO Dynamics and Extreme Events Quantified in Model 'Wind Stress Shaving' Experiments
<p>Westerly wind bursts (WWBs)—brief but strong westerly wind anomalies in the equatorial Pacific—are believed to play an important role in El Niño Southern Oscillation (ENSO) dynamics, but quantifying their effects is challenging. Here, we investigate the cumulative effects of WWBs on ENSO characteristics, including the occurrence of extreme El Niño events, via modified coupled model experiments within Community Earth System Model (CESM1) in which we progressively reduce the impacts of wind stress anomalies associated with model-generated WWBs. In these "wind stress shaving" experiments we limit momentum transfer from the atmosphere to the ocean above a preset threshold, thus "shaving off" wind bursts. To reduce the tropical Pacific mean state drift, both westerly and easterly wind bursts are removed, although the changes are dominated by WWB reduction. As we impose progressively stronger thresholds, both ENSO amplitude and the frequency of extreme El Niño decrease, and ENSO becomes less asymmetric. The warming center of El Niño shifts westward, indicating less frequent and weaker Eastern Pacific (EP) El Niño events. Removing most of wind bursts-related wind stress anomalies reduces ENSO amplitude by 22%. The essential role of WWBs in the development of extreme El Niño events is revealed in the suppressed eastward migration of the western Pacific warm pool and hence a weaker Bjerknes feedback under wind shaving. Overall, our results reaffirm the importance of WWBs in shaping the characteristics of ENSO and its extreme events and imply that WWB changes with global warming could influence future ENSO.</p>
CESM experiments for "Oceanic repeaters boost the global climatic impact of the Tibetan Plateau"
<p>This dataset is the outputs and codes of CESM experiments performed by the authors for their study titled, "Oceanic repeaters boost the global climatic impact of the Tibetan Plateau", which was submitted to Science Bulletin. There were six CESM experiments, namely amip-hist, amip-TIP-nosh, amip-TIP-alb0.5, amip-TIP-sh0.5, cmip-hist, and cmip-TIP-sh0.5. The CESM model (version 2.1.3) was provided by NCAR/UCAR. In all the experiments, hist (historical) experiments were control runs, whereas the TIP (Tibetan–Iranian Plateau coupling system) -labeled experiments were sensitivity runs.</p>
CESM experiments for diverse impacts of ENSO on summertime synoptic-scale disturbance intensity over the tropical western North Pacific
<p>Experiments are conducted using Community Atmospheric Model version 5.2 (CAM-5.2; <a href="https://www.cesm.ucar.edu/models/cesm1.1/cam/">https://www.cesm.ucar.edu/models/cesm1.1/cam/</a>) which is the atmosphere component of Community Earth System Model (CESM) of the National Center for Atmospheric Research (NCAR). The model resolution is f19_g16, with f19 finite volume grid (1.9° latitude × 2.5° longitude) for the atmosphere and land components combined with the gx1v6 displaced pole grid (approximately 1°) for the ocean and ice components.</p> <p> Five sets of model experiments are designed in this study:</p> <ol> <li>Climatological SST forcing simulation (CLM-SST run): The CAM is forced by global climatological mean monthly SST that is obtained from OI version 2 SST data for the period from January 1982 to December 2020 and integrated for 30 years.</li> <li>Full SST forcing simulation (Full-SST run): The CAM is forced by global monthly OI version 2 SST and integrated from January 1982 to December 2020.</li> <li>Tropical central-eastern Pacific SST forcing simulation (CEP-SST run): The CAM is forced by total monthly SST in the domain of 15°S–15°N and 160°E–80°W and climatological mean monthly SST in the other regions and integrated from January 1982 to December 2020.</li> <li>Sensitivity experiments of tropical central-eastern Pacific SST anomalies: The CAM is forced by global climatological mean monthly SST from January to December plus composite JJA mean SST anomalies in El Niño and La Niña events in the tropical central-eastern Pacific (15°S–15°N, 160°E–80°W) and the above SST anomalies multiplied by -1 from May to December and integrated for 30 years. These four sensitivity experiments are referred to as CEP-EN, CEP-LN, CEP-ENrev, and CEP-LNrev, respectively.</li> <li>Double tropical central-eastern Pacific SST anomalies: The CAM is forced by global climatological mean monthly SST from January to December plus composite JJA mean SST anomalies during El Niño and La Niña events over the tropical central-eastern Pacific (15°S–15°N, 160°E–80°W) multiplied by 2 from May to December and integrated for 30 years. The simulations with composite SST anomalies derived from El Niño (La Niña) are referred to as CEP-2EN (CEP-2LN) runs.</li> </ol>
Model results for Statistical bias correction for CESM-simulated PM2.5
<p>This NC file includes CESM-simulated annual mean aerosol concentrations for 100 years. And the model results are used in paper Statistical bias correction for CESM-simulated PM2.5 (doi: 10.1088/2515-7620/acf917)</p>
Community Earth System Model (CESM) simulations disentangling CO2 effects - FULL (1 of 4)
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Community Earth System Model (CESM) simulations disentangling CO2 effects - RAD (3 of 4)
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Community Earth System Model (CESM) simulations disentangling CO2 effects - PHYS (2 of 4)
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Community Earth System Model (CESM) simulations disentangling CO2 effects - PI (4 of 4)
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CESM 1.2 climate model simulation output for: The Essential Role of Westerly Wind Bursts in ENSO Dynamics and Extreme Events Quantified in Model 'Wind Stress Shaving' Experiments
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EOSC-Nordic climate 14 years dataset (generated from CESM 2.1.0) to test owncloud (WP5)
<p>This dataset has been created using CESM 2.1.0 and ran on Saga Norwegian HPC (<a href="https://www.sigma2.no/">https://www.sigma2.no/</a>).</p> <p>The dataset contains 14 years of CESM F2000climo compset at resolution f19_g17:</p> <pre><code> module use /cluster/projects/nn1000k/modulefiles module load cesm/2.1.0 create_newcase --case $HOME/cases/F2000climo-f19_g17 --res f19_g17 --compset F2000climo --mach saga --run-unsupported --project nn1000k</code></pre> <p> </p> <p>netCDF outputs have been converted to zarray format for testing access on owncloud (part of WP5 EOSC-Nordic project). No further post-processing has been applied. </p>
GEO4962 input dataset for running CESM 2.1.0 case for the course
<p>Contains the input dataset for running CESM 2.1.0 as part of the GEO4962 course at the University of Oslo.</p>
Eighty Member Ensemble of 1.0° POP and CICE restart files on the CESM gx1v7 grid
The restart files are from Who Kim's g210.G_JRA.v14 experiment. This experiment was run with repeating "normal-year" atmospheric forcing from the JRA-55 reanalysis. Since the atmospheric forcing was repeated throughout the length of the centuries-long ocean run, the eighty sets of restart files were collected on January 1st, 00Z from eighty different years of the run. These restart files are intended to serve to initialize an 80-member CESM ensemble for users who intend to run an ensemble data assimilation experiment.
CESM Short lived Halogen simulation results for Roozitalab et al. (2023) in JGR-Atmospheres
<p>This dataset includes the data used for Roozitalab et al. (2023): "Measurements and modeling of the interhemispheric differences of atmospheric chlorinated very short-lived substances" in Journal of Geophysical Research - Atmospheres.</p>
sensitivity experiment using CESM POP2
<p>CTRL.nc for control experiment. </p> <p>NoWind.nc: an experiment in which the North Atlantic (40N-60N) surface wind is suppressed to 1%.</p> <p>FB.nc : for the experiment in which the North Atlantic bottom topography is set to flat. <span>The depth of North Atlantic between 0°N and 50°N is set to 4375-m uniformly. </span></p> <p>FB_NoWind.nc : an experiment in which the North Atlantic bottom topography is set to flat as FB.nc and the North Atlantic surface wind is suppressed to 1%.</p> <p>NA_0.01Wind.nc: an experiment in which the North Atlantic (north of 15N) surface wind is suppressed to 1%.</p> <p>15N-45N.nc : an experiment in which the North Atlantic (15N-45N) surface wind is suppressed to 1%.</p> <p>45N-60N.nc : an experiment in which the North Atlantic (45N-60N) surface wind is suppressed to 1%.</p> <p>40N-50N.nc: an experiment in which the North Atlantic (40N-50N) surface wind is suppressed to 1%.</p> <p>50N-60N.nc: an experiment in which the North Atlantic (50N-60N) surface wind is suppressed to 1%.</p> <p>Wind_NoTilt.nc: t<span>he zonal mean wind stress of CTRL is applied over north of 15ºN in the North Atlantic. </span></p> <p>NA_0.5Wind.nc: s<span>urface wind stress is set to 50% over north of 15 ºN in the North Atlantic.</span></p> <p>NA_0.1Wind.nc: s<span>urface wind stress is set to 10% over north of 15 ºN in the North Atlantic.</span></p> <p>CTRL_R1.nc: <span>CTRL_R1 is the control experiment under CORE-II forcing with 1-degree resolution.</span></p> <p>NoWind_R1.nc: <span>this experiment applies 1% wind stress of the control value over 40ºN-60ºN in the North Atlantic with 1-degree resolution . </span></p> <p>FFB_R1.nc: this experiment is with<span> no MAR bottom topography setting with </span><span>the depth of North Atlantic between 0°N and 50°N set to 4375-m uniformly with <span>1-degree resolution.</span></span></p> <p> </p>
CESM Simulation pi_b1850_paleocab (Epitomic Data)
<p>See Readme_Simulations_c221028.pdf</p>
CESM Simulation datatmcold_c220426 (Epitomic Data)
<p>See <a href="https://zenodo.org/api/files/df4a40a4-a118-4ac8-bc8e-60e9724d4001/Readme_Simulations_c221028.pdf?versionId=d271fb77-5491-4865-b37d-fa04782bd17e">Readme_Simulations_c221028.pdf</a></p>
CESM Simulation datatm21ka_c211123 (Epitomic Data)
<p>See Readme_Simulations_c221028.pdf</p>
Arctic water vapor anomalies based on monthly CESM experiment
<p>This dataset shows the internal anomalies of Arctic water vapor and other related variables by using the monthly data from historical/RCP8.5 experiments based on the Community Earth System Model (CESM), which has 40-member runs during 1920-2005/2006-2050. To characterize internal variability, we remove the ensemble mean (radiative forced component) and focus on the residual (internal) variability. Then we use a 10-year low-pass Lanczos filter to extract decadal variability, and the difference between the internal variability and its decadal component is treated as interannual compoent.</p>
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