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9 results for “Rossby wave”
SSH data set used for Rossby Wave Analysis, extraction from ORCA12.L46-MJM189 DRAKKAR simulation
<p>This data set corresponds to the Sea Surface Heigh (SSH) silmulated by the NEMO ocean circulation model, under the ORCA12.L46-MJM189 configuration, developped in the frame of the DRAKKAR project. This particular data set is an extraction from the native numerical grid, covering the area between 38N and 40N in the North Altantic ocean, for the period 1970 to 2015. The data are concatenated in a single file with 5-days average of SSH. The corresponding metrics for this sub domain are also present in this netcdf file. This subset was used in Watelet et al. (2020) submitted paper, dealing with Rossby waves analysis.</p>
Dataset for Recurrent Rossby wave packets modulate the persistence of dry and wet spells across the globe
<p>This dataset is used in the following study: "Recurrent Rossby wave packets modulate the persistence of dry and wet spells across the globe."</p> <p>Dataset includes:</p> <ul> <li>Dry and wet spells for the Northern and the Southern Hemisphere respectively.</li> <li>The output of the statistical model for each season (MJJASO/NDJFMA) and for each spell type (dry/wet) for both the hemispheres (NH/SH).</li> </ul> <p>File naming used belongs to mainly two categories: one for naming spell file, and second for naming the output file from the statistical model. An example from each category is explained below. The rest of the files follow the same naming style.</p> <ol> <li><em>Spell file</em>;<strong> NH_1.0mm_dry_spells_all_months_gap_1_days_no_spell2_check.nc</strong>: Northern Hemisphere 1.0mm threshold dry spell for all months with a gap of 1 day</li> <li><em>Statisical model output file</em>; <strong>NH_weibull_MJJASO_drythresh_1_min_spell_count_40_time_steps_min_spell_length_5D_1D_N_1980_2016.nc</strong>: Northern Hemisphere Weibull model output for MJJASO using dry threshold of 1.0 mm with a minimum spell count of 40 time-steps and a minimum spell length of 5 days for the period 1980-2016</li> </ol> <p>This dataset alone is sufficient for reproducing the analysis presented in the study. Open source tools like Python, R, etc can be used to read '.nc' file type. Additional code help in the form of Jupyter notebooks reproducing figures made from this dataset can be viewed <a href="https://github.com/avatar101/RRWPS-extremes">here on GitHub.</a></p>
TIGAR experiments with background flow and Rossby wave forcing
<p>A barotropic version of the TIGAR (Transient Inertia-Gravity And Rossby wave dynamics) model has been run at T42 resolution to simulate the effects of subtropical Rossby waves on equatorial waves in the presence of a zonal background flow. TIGAR solves the rotating shallow water equations by applying Hough harmonics as spectral basis functions thereby enabling the analysis of Rossby and Inertia-gravity wave dynamics. More details of the model are available at: <a href="https://doi.org/10.1002/qj.4006">https://doi.org/10.1002/qj.4006</a> .</p>
The dataset for the submitted paper " Time Series Analysis of Normal Mode Energetics for Rossby Wave Breaking and Saturation using a Simple Barotropic Model".
<p>These files are the data of the result in the submitted paper, titled "Time Series Analysis of Normal Mode Energetics for Rossby Wave Breaking and Saturation using a Simple Barotropic Model".</p> <ul> <li>File Description</li> </ul> <p>pv13.data : Exp. 1<br> pv17.data : Exp. 2</p> <p>The raw potential vorticity (PV) data for the Exp.1 and Exp.2, respectively, used in drawing the Fig.1, 2, and the supplemental movie 1 and 2.<br> These are the grid point value files, 72 levels for the zonal direction, 30 levels for meridional direction. More details are described in the next ctl files.</p> <p> </p> <p>pv13.ctl<br> pv17.ctl</p> <p>Description files for pv13.data and pv17.data. This will be called from grads_pv13.gs and grads_pv17.data, respectively.</p> <p>grads_pv13.gs<br> grads_pv17.gs</p> <p>GrADS script for mapping the PV.</p> <p> </p> <p>energy17.txt : Exp.2</p> <p>The time series table of energy values for exp.2.<br> One raw is identified by combination of the TIME in the experiment and zonal wave number N.</p>
SMART Radar and WSR-88D Data Associated with "Mobile Radar Observations of Hurricanes at Landfall. Part II: Convectively Coupled Vortex Rossby Waves"
<p>The data contained in this archive are associated with "Mobile Radar Observations of Hurricanes at Landfall. Part II: Convectively Coupled Vortex Rossby Waves" in review in the <em>Journal of the Atmospheric Sciences</em>. Two sets of data associated with Hurricanes Isabel (2003) and Matthew (2016) are contained. Each subset of data contains the raw radar files that contribute to the manuscript in cfradial netCDF format.</p> <p>A readme file in included that describes the variables and format of the radar volume files. Questions about the dataset may be directed to addisonalford@ou.edu, drdoppler@ou.edu, or gordon.carrie-1@ou.edu.</p>
FOCI model output used in the study by Ivanciu et al. - On the ridging of the South Atlantic Anticyclone over South Africa: the impact of Rossby wave breaking and of climate change
<p>This dataset contains the model output used in the analysis presented in the study by Ivanciu et al., 2022 - On the ridging of the South Atlantic Anticyclone over South Africa: the impact of Rossby wave breaking and of climate change. Four ensembles of three simulations each were performed with the global coupled climate model FOCI (Flexible Ocean and Climate Infrastructure, Matthes et al., 2020). Details about the ensembles can be found in the above-mentioned publication. The files containing "past" in their name belong to the ensemble "PAST", the files containing "future" in their name belong to the ensemble "FUTURE", the files containing "future_GHG" in their name belong to the ensemble "GHG" and the files containing "future_Ozone" in their name belong to the ensemble "OZONE" from the publication.</p>
Studying the scale selection of mixed Rossby-gravity waves: Idealized simulations with the TIGAR model
<p>Mixed Rossby-gravity waves peak in two atmospheric regions in reanalysis: the upper troposphere and the upper stratosphere. The scales of MRG waves are different in these two regions, which can be seen e.g. on real-time MRG wave vertical profiles (https://modes.cen.uni-hamburg.de/products#MRG). In order to understand the MRG wave scale selection in these regions, we run idealized simulations with the TIGAR model (Vasylkevych and Zagar, 2021) with a symmetric initial height perturbation with respect to the equator and zonal wind profiles derived from ERA5 reanalysis (Hersbach et al, 2020). In addition, we also run TIGAR simulations with symmetric initial height perturbation and idealized zonal jets centered at various latitudes.</p>
Detrended SSH data set used for Rossby Wave Analysis, extraction at 39N from ORCA12.L46-MJM189 DRAKKAR simulation
<p>This data set corresponds to the detrended Sea Surface Heigh (SSH) simulated by the NEMO ocean circulation model, under the ORCA12.L46-MJM189 configuration, developped in the frame of the DRAKKAR project. This particular data set is an interpolation from the native numerical grid, covering the latitude 39N in the North Altantic ocean, for the period 1970 to 2015. The data are concatenated in a single file with 5-days average of SSH. This subset was used in Watelet et al. (2020) submitted paper, dealing with Rossby waves analysis.</p>
Dust-storm forcing of Rossby waves on Mars
<p>These data files were used in the following journal article: </p> <p>D. Hinson and J. Wilson (2024). Dust-storm forcing of Rossby waves on Mars. Icarus 412, 115998.<em> </em><em>https://doi.org/10.1016/j.icarus.2024.115998</em></p>
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