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15 results for “tropopause”
PV-gradient (PVG) tropopause: Time series 1980--2017 in four reanalyses
<h1>PV-gradient tropopause time series</h1> <h2>General description</h2> <p>These datasets contain time series of the PV-gradient tropopause (PVG tropopause) introduced by A. Kunz (2011, <a href="https://doi.org/10.1029/2010JD014343">doi:10.1029/2010JD014343</a>) and calculated by K. Turhal (2024, paper " Variability and Trends in the PVG Tropopause", preprint in EGUsphere: https://doi.org/10.5194/egusphere-2024-471).</p> <h2>Data and methods</h2> <p>The PVG tropopause has been computed by means of the Eddy Tracking Toolkit (developed by J. Clemens and K. Turhal, to be published):</p> <ul> <li>from four reanalyses: ERA5, ERA-Interim, MERRA-2 and JRA-55</li> <li>for the time range 1980/01/01 -- 2017/12/31 in time steps of the according reanalyses, i.e. four times daily at 00h, 06h, 12h and 18h</li> <li>on each isentropic level, with potential temperatures (theta) ranging from 320 K to 380 K, in steps of 5 K for ERA5 and 10 K for the other reanalyses.</li> </ul> <h2>Contents</h2> <p>Datasets are provided for each year and isentropic level in NetCDF4 format, every file consisting of two groups for the northern and southern hemisphere. Each group contains the following variables, with time as dimension:</p> <ul> <li>time in seconds since 2000/01/01 00:00 UTC</li> <li>u_lim: Zonal wind speed at the PVG tropopause</li> <li>vh_lim: Horizontal wind speed at the PVG tropopause</li> <li>q_lim: Maximum of Q = vh * Grad PV</li> <li>eqlat_lim: Location of the PVG tropopause in equivalent latitudes</li> <li>latmean_lim: Location of the PVG tropopause in latitudes</li> <li>pv_lim: PV value at the PVG tropopause</li> </ul> <p>In this upload, the PVG tropopause time series are included as *.zip files:</p> <ul> <li>ERA5 dataset: "pvg-tp_era5_ts.zip"</li> <li>ERA-Interim dataset: "pvg-tp_eraint_ts.zip"</li> <li>MERRA-2 dataset: "pvg-tp_merra2_ts.zip"</li> <li>JRA-55 dataset: "pvg-tp_jra55_ts.zip"</li> <li>Plots of time series for each reanalysis of the variables eqlat_lim, latmean_lim and pv_lim: "pvg_tropopause_timeseries_plots.zip".</li> </ul> <h2>How to use</h2> <p>The variables in these netCDF files are grouped by hemisphere. To read in the data, specify the group first ("NorthernHemisphere" or "SouthernHemisphere") and then the variable name (see list above). In Python, this can be done as follows:</p> <pre><code>import netCDF4 as nc file="<insert file path here>" d = nc.Dataset(file) # read in a variable. Syntax: d["group name"]["variable name"][:]. For example: latmean_lim = d["NorthernHemisphere"]["latmean_lim"][:] # test print print(f"First value of latmean_lim in NH: {latmean_lim[0]}")</code></pre> <p>If you would like to read in all variables in both hemispheres, you can loop e.g. as follows:</p> <pre><code>import netCDF4 as nc file = "<insert file path here>" d = nc.Dataset(file) # iterate through both hemispheres for hem in ["NorthernHemisphere", "SouthernHemisphere"]: # select the group to each hemisphere in the netCDF file g = d.groups[hem] # iterate through variables in each hemisphere. "v" is the name of each variable in the group. for v in g.variables: # read in the data for variable 'v' in hemisphere 'hem' as an array var = g[v][:] # just a test print, optional print(f"First value of {v} in {hem.replace('Hem', ' Hem')} is {var[0]}")</code></pre> <h2>Funding</h2> <p>This project has been funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – TRR 301 – Project-ID 428312742, TPChange: The Tropopause Region in a Changing Atmosphere (<a href="https://tpchange.de/">https://tpchange.de/</a>).</p>
Data for JGR-Atmospheres Paper: Stratospheric Hydration Processes in Tropopause-Overshooting Convection Revealed by Tracer-Tracer Correlations from the DCOTSS Field Campaign
<p>Airborne 1-second data merger of observations from the NASA Dynamics and Chemistry of the Summer Stratosphere (DCOTSS) field campaign. This merger includes subjective feature identifications analyzed in the paper referenced in the title. </p>
WV-TTL: water vapor mixing ratio from GEOSCCM and trajectory model simulations in tropical tropopause layer
<p>This dataset includes 100 hPa water vapor mixing ratio simulated from a trajectory transport model and a climate-chemistry model in the tropical tropopause layer from 2005 to 2016 in the format of netCDF. The data are monthly and have three dimensions as lon/lat/time in the unit of parts per million by volume.</p> <p>Also included the tropical average time series of indices for Brewer-Bobson circulation (BDC), tropospheric temperature and/or Quasi-biennial Oscillation (QBO) from ERAi/MERRA-2/GEOSCCM. These indices are used in a multivariate regression.</p>
Top-of-the-atmosphere radiative forcing by aerosol due to continuous OCS injection near the tropical tropopause simulated by EMAC
<p>This dataset was prepared for a publication by von Hobe et al. (2023):</p> <p><strong>Comment on “An approach to sulfate geoengineering with surface emissions of carbonyl sulfide” by Quaglia et al. (2022)</strong></p> <p>In that publication, the data are displayed in Figure 4.</p> <p>The dataset contains additional stratospheric aerosol forcing for injections of 6 Tg S a<sup>-1</sup> OCS for several years over 5 tropical cities at the tropopause (97 hPa) calculated with the EMAC (ECHAM5/MESSy Atmospheric Chemistry) CCM (e.g. Brühl et al., 2018; Schallock et al., 2023). Data are given for a four year time series starting in January 2017.</p> <p>- - - - - - - - - - - -</p> <p>File format:</p> <p> netCDF</p> <p>Index Variables:</p> <p> time, 10 hourly, as 'day since 1997-01-01' (note that the two variables named time4 and time6 are identical)</p> <p>Parameters:</p> <p> SOLFORCCSO: instantaneous solar radiative forcing at the top of the atmosphere by aerosol due to continuous OCS injection near the tropical tropopause with surface mixing ratios of OCS were fixed to observations</p> <p> TOTFORCCSO: instantaneous total radiative forcing at the top of the atmosphere by aerosol due to continuous OCS injection near the tropical tropopause with surface mixing ratios of OCS were fixed to observations</p> <p> SOLFORCCSO_FREE: instantaneous solar radiative forcing at the top of the atmosphere by aerosol due to continuous OCS injection near the tropical tropopause with surface mixing ratios of OCS allowed to increase from downward transport</p> <p> TOTFORCCSO_FREE: instantaneous total radiative forcing at the top of the atmosphere by aerosol due to continuous OCS injection near the tropical tropopause with surface mixing ratios of OCS allowed to increase from downward transport</p> <p>- - - - - - - - - - - -</p> <p><strong>References:</strong></p> <p>Brühl, C., Schallock, J., Klingmüller, K., Robert, C., Bingen, C., Clarisse, L., Heckel, A., North, P., and Rieger, L.: Stratospheric aerosol radiative forcing simulated by the chemistry climate model EMAC using Aerosol CCI satellite data, Atmos. Chem. Phys., 18, 12845-12857, 10.5194/acp-18-12845-2018, 2018</p> <p>Quaglia, I., Visioni, D., Pitari, G., and Kravitz, B.: An approach to sulfate geoengineering with surface emissions of carbonyl<br> sulfide, Atmos. Chem. Phys., 22, 5757-5773, 10.5194/acp-22-5757-2022, 2022.</p> <p>Schallock, J., Brühl, C., Bingen, C., Höpfner, M., Rieger, L., and Lelieveld, J.: Reconstructing volcanic radiative forcing since 1990, using a comprehensive emission inventory and spatially resolved sulfur injections from satellite data in a chemistry climate model, Atmos. Chem. Phys., 23, 1169-1207, 10.5194/acp-23-1169-2023, 2023.</p> <p>von Hobe, M., Brühl, C., Lennartz, S. T., Whelan, M. E., and Kaushik, A.: Comment on “An approach to sulfate geoengineering with surface emissions of carbonyl sulfide” by Quaglia et al. (2022) , EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-268, 2023.</p>
Atmospheric data used for calibrating the tropopause in global chemistry-climate or chemistry-transport models
Open the record for dataset details and reuse information.
The Impact of Ammonia on Particle Formation in the Asian Tropopause Aerosol Layer: data sources
<p>Model namelist, Configuration settings, Figure data for manuscript "The impact of ammonia on particle formation in the Asian Tropopause Aerosol Layer".</p>
CM1 files for JGR-Atmospheres Paper Sensitivities of Cross-Tropopause Transport in Midlatitude Overshooting Convection to the Lower Stratosphere Environment
<p>Initial conditions to run the CM1 model simulations used in the JGR-Atmospheres Paper <em>Sensitivities of Cross-Tropopause Transport in Midlatitude Overshooting Convection to the Lower Stratosphere Environment</em>. The namelist.input file contains the initial conditions used to run the simulations, and the input sounding files (input_sounding_st_plume, input_sounding_st_noplume, input_sounding_dt_plume, input_sounding_dt_noplume) are the initial soundings used to run the CM1 model for each of the four different stratospheric environments. </p>
Anthropogenic Bromoform at the Extratropical Tropopause
<p>This dataset contains the new emission inventory used for the simulations presented in the paper and the simulation outputs.</p>
H2 and H2 deuterium content data collected around the tropopause by the CARIBIC aircraft
<p>This zip file contains the final corrected data that were used for the paper: Batenburg, A. M., Schuck, T. J., Baker, A. K., Zahn, A., Brenninkmeijer, C. A. M., and Röckmann, T.: The stable isotopic composition of molecular hydrogen in the tropopause region probed by the CARIBIC aircraft, Atmos. Chem. Phys., 12, 4633-4646, doi:10.5194/acp-12-4633-2012, 2012<br> Please cite the original ACP article when using these data.<br> The paper also contains more information about how these data were collected and calibrated.</p> <p>H2 and deltaD(H2) are calibrated using one, two, or three laboratory reference air cylinders, depending on measurement period.<br> The H2 mixing ratio of the reference cylinders was determined by UHEI-IUP or MPI-BGC.<br> The deltaD(H2) of the reference cylinders is linked to the VMOW scale by measurements of air mixtures containing H2 standards of known isotopic composition.<br> H2 scale: MPI2009, Jordan and Steinberg, AMT, 2011<br> deltaD(H2) units: permil deviation from VSMOW, Gonfiantini et al., IAEA-TECDOC-825, IAEA<br> An empirical correction was applied to the H2 mixing ratios based on data collected within the EUROHYDROS project.<br> H2 mixing ratio errors can be calculated as 2.5% of the mixing ratio divided by the square root of the number of GC-IRMS repeat measurements.<br> deltaD(H2) errors can be calculated as 4.5 permil divided by the square root of the number of GC-IRMS repeat measurements.<br> More information on the collection of these samples and their measurement can be found in Batenburg et al., ACP, 2012, doi:10.5194/acp-12-4633-2012.<br> More detailed information on the GC-IRMS measurement procedure can be found in Batenburg et al., ACP, 2011, doi:10.5194/acp-11-6985-2011.<br> The 0 or 1 pollution/outlier flags were assigned by an iterative procedure that is described Batenburg et al., 2012.</p> <p>The zip file contains the data in .xls and .csv format, as well as in the NASA AMES text format that is used within the CARIBIC project.<br> We thank Armin Rauthe-Schöch for generating the AMES file.</p> <p>The corresponding author of the paper can be reached through annekebatenburg you-know-what-symbol gmail.com for questions about the hydrogen measurements.<br> For the results of other measurements that were done on these samples (like the GHG measurements), it's better to contact someone involved with the CARIBIC/IAGOS database. Armin Rauthe-Schöch (armin.rauthe-schoech you-know-what-symbol mpic.de) can probably help you out.</p>
Case Study Scenarios (CSS) 1 for OSSE of tropopause fold
<p>These are the simulated CAIRT ozone profiles for the period 15/Nov/2021-1/Feb/2022 using, in the following order:</p><ul><li>CAMS hlqd control run simulation as reference ozone field</li><li>sim_CAIRT_grid.py to generate CAIRT retrieval grid (i.e. the geolocation of the CAIRT profiles)</li><li>BASCOE_MAO to interpolate CAMS hlqd 3-hourly output at CAIRT geolocation</li><li>FL2S to perturb CAMS@CAIRT ozone according to CAIRT expected performences (using the AK, the systematic and the random error) and add error bar to the ozone profiles.</li></ul><p>These are the ozone profiles assimilated by BASCOE for the Observing System Simulation Experiment (OSSE) discussed in CAIRT Report for Assessment (RfA).</p>
Investigation of cirrus clouds properties in the Tropical Tropopause Layer using high-altitude limb scanning near-IR spectroscopy during the NASA-ATTREX Experiment
<p>Data results of the findings of the AMT-2023-85 research article, titled: "Investigation of cirrus clouds properties in the Tropical Tropopause Layer using high-altitude limb scanning near-IR spectroscopy during the NASA-ATTREX Experiment", submitted to the Atmospheric Measurement Techniques journal on 20 Apr 2023.</p>
FAT or FiTT: Are anvil clouds or the tropopause temperature-invariant? (manuscript data)
<p>Cloud-resolving model output used in the manuscript "FAT or FiTT: Are anvil clouds or the tropopause temperature-invariant?" by Seeley et al. </p>
Data for the paper: "Formation and new Transport pathways of the Global Tropopause Dust Layer"
<p>Model simulation output used for "Formation and new Transport pathways of the Global Tropopause Dust Layer" submitted to Geophysical Research Letters (GRL).</p>
Water vapor in the tropical tropopause layer to reproduce seasonal cycles in Wang et al paper
<p>This dataset contains the data needed to reproduce the tropical tropopause layer water vapor seasonal cycles in this paper. </p>
AMSU/MSU Tropopause Day/Month Temperature Anomalies and Annual Cycle V6
The AMSU/MSU Tropopause Day/Month Temperature Anomalies and Annual Cycle V6 dataset consists of temperature anomalies and annual cycle temperatures derived from the Microwave Sounding Unit (MSU) and the Advanced Microwave Sounding Unit-A (AMSU-A) radiance data since January 1978. All products are derived for the tropopause. The dataset begins on January 1, 1978 and is still currently ongoing. The data are available in netCDF-4 and ASCII formats.
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