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156 results for “troposphere”
Data for Observational Evidence for Criegee Intermediate Oligomerization Reactions Relevant to Aerosol Formation in the Troposphere
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Data for the publication: Effects of turbulence on upper tropospheric ice supersaturation
<p>This repository contains the data sets shown in the above research study to appear in the Journal of Atmospheric Sciences. The Grace plot files contain ASCII data shown in figures 2-5 of that publication.</p>
Simulations of tropospheric O3 in the Atlantic coast of the Iberian Peninsula
<p>Mapping of WRF-CAMx simulated hourly O3 concentrations during a tropospheric O3 pollution episode along the Atlantic Coast of the Iberian Peninsula from July 31, 2018, to August 8, 2018. This dataset comprises three graphical representations:</p> <ol> <li>surface_simulation.zip: Simulated surface O3 concentrations (color scale) and wind fields (vectors). Winds lower than 2 m s−1 have been omitted.</li> <li>integrated_ozone_simulation.zip: Integrated surface O3 concentrations up to 2500 m a.g.l. and wind at 1250 m a.g.l. Winds lower than 2 m s−1 have been omitted.</li> <li>vertical_ozone_simulation.zip: <ol> <li>Douro Norte: Simulated vertical O3 concentrations (color scale) and projected wind fields (stream composed by projected v with w(∗10)).</li> <li>Valderejo: Simulated vertical O3 concentrations (color scale) and projected wind fields (stream composed by projected u with w(∗10)).</li> </ol> </li> </ol>
Stratospheric ozone depletion and tropospheric ozone increases drive Southern Ocean interior warming
<p>Codes and processed variables to generate Figures 1-6.</p>
Data of publication "Impact of biomass burning and stratospheric intrusions in the remote South Pacific Ocean troposphere" by N. Daskalakis et al.
<p>Modeled data and measured data as used for the publication " Impact of biomass burning and stratospheric intrusions in the remote South Pacific Ocean troposphere" by N. Daskalakis et al. All measured data were obtained from the official sources, and model results are described in the publication. Please refer to the manuscript for further information for the data and the model.</p>
Large eddy simulations of precipitating marine stratocumulus are sensitive to free tropospheric aerosol concentrations
<p>A sample of prognostic and diagnostic Control simulation data generated for our study. Data include the time series and vertical profiles used in the analysis of our study into the importance of free tropospheric aerosol in marine stratocumulus clouds. Full datasets are available on request from the author.</p>
Data from "Description and evaluation of the new UM-UKCA (vn11.0) Double Extended Stratospheric-Tropospheric (DEST vn1.0) scheme for comprehensive modelling of halogen chemistry in the stratosphere" by Bednarz et al., 2022
<p>Model output from the UM-UKCA simulations used in "Description and evaluation of the new UM-UKCA (vn11.0) Double Extended Stratospheric-Tropospheric (DEST vn1.0) scheme for comprehensive modelling of halogen chemistry in the stratosphere" by Bednarz et al. (2022), as well as plotting scripts used to make all figures.</p>
Influence of solar activity on penetration of travelling planetary-scale waves from the troposphere into the thermosphere
<p>This dataset contains model output files and examples of scripts for depicting figures related to the article "Influence of solar activity on penetration of travelling planetary-scale waves from the troposphere into the thermosphere" by A.V. Koval, N. M. Gavrilov, A. I. Pogoreltsev, N. O. Shevchuk.</p> <p>Contents:<br> averh.zip - Output data from model simulations averaged over 12 runs with high solar activity;<br> /averh/uvt400_Jan_ogw_volf.dx - Zonal, meridional wind components, temperature (structure corresponds to uvt.ctl);<br> /averh/phi.dx - Geopotential height in gpm;<br> /averh/gh_m1_1.dx, /averh/gh_m2_1.dx - Estimated PSW amplitudes and phases after the longitude-time Fourier transform of the MUAM solutions with the least squares fitting of the geopotential height (zonal wavenumber 1 and 2, respectively)<br> /averh/zw_m1_1.dx, /averh/zw_m2_1.dx, /averh/mw_m1_1.dx, /averh/mw_m2_1.dx, /averh/tp_m1_1.dx, /averh/tp_m2_1.dx - The same but for wind components and temperature, respectively<br> averl.zip - Output data from model simulations averaged over 12 runs with low solar activity; contents are similar to "averh.zip"<br> files *.gs, *.ctl - Examples of the scripts and file descriptions for GRADS system to build figures shown in the manuscript.<br> Additional data including outputs from separate model runs are available from the authors upon request. </p>
Effects of Tropospheric Vertical Wind Shear on Gravity Waves Generated by Tropical Cyclones
<p>The configuration for running WRF, and the data and codes for ploting the figures in our manuscript are provided here.</p>
Upper Tropospheric Humidity with respect to Ice
<p>We use brightness temperature data from the High-Resolution Infrared Radiation Sounder (HIRS) onboard the NOAA series of satellites, to produce a 40-year data set of Upper Tropospheric Humidity with respect to Ice (UTHi). The UTHi values are derived from brightness temperatures in channels 6 and 12 (upper tropospheric temperature channel and upper tropospheric water vapor channel correspondingly) using a retrieval method developed by Gierens and Eleftheratos (2019) in conjunction with the application of intercalibration coefficients from Shi and Bates (2011). As channel 6 is in the CO<sub>2 </sub>absorption band and CO<sub>2</sub> concentrations have increased since 1980, channel 6 brightness temperature records have been influenced negatively by approximately 2<sup>o</sup>K in the 40-year period (Shi et al., 2016). We correct the T6 data, by applying a correction formula based on the global CO<sub>2</sub>-related brightness temperature false decrease in the 40-year period and the month-to-month change of CO<sub>2 </sub>with a reference CO<sub>2</sub> value of 370 ppm. Due to the switch of the HIRS instrument in 2000 which was accompanied by a change in the central wavelength of channel 12 there was a break in the time series of the respective brightness temperature data and subsequently to the UTHi data. We perform a bias correction and eliminate this break during the application of the retrieval equation. After the application of the previous bias corrections, we calculate the UTHi in a 2.5° x 2.5° data grid for 70°S-70°N on a monthly temporal scale.</p> <p>The file <UTHi_Exceedances_HIRS.nc> contains the fraction of UTHi threshold exceedances above 70, 80, 90 and 100%, together with their respective deseasonalized anomalies. The temporal and spatial resolution is the same as in the file <UTHi_HIRS.nc>, which contains the monthly mean UTHi data.</p> <p>Gierens, K. & Eleftheratos, K. On the interpretation of upper-tropospheric humidity based on a second-order retrieval from infrared radiances. <em>Atmos Chem Phys</em> <strong>19</strong>, 3733–3746 (2019).</p> <p>Shi, L. & Bates, J. J. Three decades of intersatellite-calibrated high-resolution infrared radiation sounder upper tropospheric water vapor. <em>Journal of Geophysical Research Atmospheres</em> <strong>116</strong>, (2011).</p> <p>Shi, L., Matthews, J. L., Ho, S. P., Yang, Q. & Bates, J. J. Algorithm development of temperature and humidity profile retrievals for long-term HIRS observations. <em>Remote Sens (Basel)</em> <strong>8</strong>, (2016).<br><br>Users who are interested in using this UTHi dataset are strongly recommended to contact first Dr. Kostas Eleftheratos (kelef@geol.uoa.gr). <br><br></p>
A global grid model for the estimation of zenith tropospheric delay considering the variations at different altitudes
<p>Code to reproduce the work in the manuscript 'A global grid model for the estimation of zenith tropospheric delay considering the variations at different altitudes', Liangke Huang, Shengwei Lan, Ge Zhu, Fade Chen, Junyu Li, Lilong Liu, submitted to GMD. </p>
Supporting data for: What controls ozone sensitivity in the upper tropical troposphere?
<p>We provide here the supporting dataset for our study on ozone sensitivity in the upper tropical troposphere.</p>
The Effects of Differential Tropospheric Error on the Measurement of Wide-swath Interferometric Altimetry
<p>Related dataset and codes for the paper "The Effects of Differential Tropospheric Error on the Measurement of Wide-swath Interferometric Altimetry" submitted to IEEE TGRS.</p>
Injections of newly formed biogenic particles in the Himalayan free troposphere
<p>Datasets that support the major results of the study "Injections of newly formed biogenic particles in the Himalayan free troposphere".</p>
Upper-tropospheric troughs and North American monsoon rainfall in a long-term track dataset
Open the record for dataset details and reuse information.
Sentinel-5P TROPOMI Tropospheric Ozone Column V2 (S5P_L2__O3_TCL) at GES DISC
Starting from July 13th in 2020, five Sentinel-5P TROPOMI level-2 products including total and tropospheric column ozone, sulfur dioxide, CLOUD, and formaldehyde have been generated in processor version 2.For data before July 13 of 2020, please check S5P_L2__O3_TCL_1 data collection.The Copernicus Sentinel-5 Precursor (Sentinel-5P or S5P) satellite mission is one of the European Space Agency's (ESA) new mission family - Sentinels, and it is a joint initiative between the Kingdom of the Netherlands and the ESA. The sole payload on Sentinel-5P is the TROPOspheric Monitoring Instrument (TROPOMI), which is a nadir-viewing 108 degree Field-of-View push-broom grating hyperspectral spectrometer, covering the wavelength of ultraviolet-visible (UV-VIS, 270nm to 495nm), near infrared (NIR, 675nm to 775nm), and shortwave infrared (SWIR, 2305nm-2385nm). Sentinel-5P is the first of the Atmospheric Composition Sentinels and is expected to provide measurements of ozone, NO2, SO2, CH4, CO, formaldehyde, aerosols and cloud at high spatial, temporal and spectral resolutions.Copernicus Sentinel-5P tropospheric ozone data products are retrieved by the convective-cloud-differential (CCD) algorithm to derive the tropospheric ozone columns and by the cloud slicing algorithm (CSA) to derive mean upper tropospheric ozone volume mixing ratios above the clouds. The S5P_TROPOZ_CCD algorithm uses TROPOMI Level-2 ozone column measurements and the cloud parameters provided by the S5P_CLOUD_OCRA and S5P_CLOUD_ROCINN, the average values of the tropospheric ozone columns below 270 hpa can be determined. The S5P_TROPOZ_CSA algorithm uses the correlation between could top pressure and the ozone column above the cloud. The retrieval depends on the amount of measurements with a high cloud cover. The products are restricted in the tropical region (-20 degrees to 20 degrees of latitude).The main outputs of the Copernicus S5P/TROPOMI tropospheric ozone product include the tropospheric ozone column and corresponding errors, upper tropospheric ozone and corresponding errors, stratospheric ozone column and corresponding errors, and the retrieval quality flags. The data are stored in an enhanced netCDF-4 format.
GOME/ERS-2 NO2 Tropospheric, Stratospheric and Total Columns MINDS 1-Orbit L2 Swath 40 km x 320 km V1.1 (GOME_MINDS_NO2) at GES DISC
As part of the NASA's Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, this project entitled “Multi-Decadal Nitrogen Dioxide and Derived Products from Satellites (MINDS)” will develop consistent long-term global trend-quality data records spanning the last two decades, over which remarkable changes in nitrogen oxides (NOx) emissions have occurred. The objective of the project Is to adapt Ozone Monitoring Instrument (OMI) operational algorithms to other satellite instruments and create consistent multi-satellite L2 and L3 nitrogen dioxide (NO2) columns and value-added L4 surface NO2 concentrations and NOx emissions data products, systematically accounting for instrumental differences. The instruments include Global Ozone Monitoring Experiment (GOME, 1996-2003), SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY, 2002-2012), OMI (2004-present), GOME-2 (2007-present), and TROPOspheric Monitoring Instrument (TROPOMI, 2018-present). The quality assured L2-L4 products will be made available to the scientific community via the NASA GES DISC website in Climate and Forecast (CF)-compliant Hierarchical Data Format (HDF5) and netCDF formats.
AIRS/Aqua L3 daily CO2 in the free troposphere (AIRS-only) 2.5 degrees x 2 degrees V005 (AIRS3C2D) at GES DISC
The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. This product is the AIRS mid-tropospheric Carbon Dioxide (CO2) Level 3 Daily Gridded Retrieval, from the AIRS instrument on board of Aqua satellite. It is daily gridded data, at 2.5x2 deg (lon)x(lat) grid cell size. The data is in mole fraction units (data x 10^6 =ppm in volume). This is a total tropospheric column property. The file format is HDF-EOS 2.12 corresponding to HDF4. This AIRS mid-tropospheric CO2 Level 3 daily Gridded Retrieval Product contains standard retrieval means, standard deviations and input counts as well as the latitude and longitude arrays giving the centers of the grid boxes. Each file covers a 24-hour period. The mean values are simply the arithmetic means of the individual CO2 retrievals which fall within that grid box over the period. The mid-tropospheric CO2 retrievals have been averaged and binned into 2.5 x 2 deg grid cells, from -180.0 to +180.0 deg longitude and from -60.0 to +90.0 deg latitude. For each grid map of 4-byte floating-point mean values there is a corresponding 4-byte floating-point map of standard deviation and a 2-byte integer grid map of counts. The counts map provides the user with the number of points per bin that were included in the mean.
SWOT Level 2 Radiometer Brightness Temperatures and Troposphere Interim Data Product Version D
The SWOT Level 2 Radiometer Brightness Temperatures and Troposphere Interim Geophysical Data Record (IGDR) Version D dataset produced by the Surface Water and Ocean Topography (SWOT) mission provides atmospheric water vapor and liquid water content from the Advanced Microwave Radiometer (AMR), a Jason-class radiometer that measures sea surface brightness temperatures at three microwave frequencies (18.7, 23.8 and 34 GHz). Brightness temperatures are processed to estimate the wet troposphere content, atmospheric attenuation to backscatter, cloud liquid water, water vapor content, and wind speed coincident with each range measurement from the nadir altimeter and applied to correct for altimeter range delays caused by atmospheric effects. SWOT is a joint mission between NASA and CNES that launched on December 16, 2022. It aims to measure ocean surface topography with unprecedented resolution and accuracy, as well as map inland water bodies globally.The interim radiometer dataset consists of discrete measurements along two tracks located approximately 30-km to the left and right of the satellite nadir. The data were processed using the Medium-accuracy (preliminary) Orbit Ephemeris (MOE) with preliminary calibrations applied. They are distributed as one file per half-orbit in netCDF4 file format with a nominal latency of < 1.5 days.
CALIPSO Lidar Level 3 Tropospheric Aerosol Profiles, Cloud Free Data, Standard V4-21
CAL_LID_L3_Tropospheric_APro_CloudFree-Standard-V4-21 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 3 Tropospheric Aerosol Profiles, Cloud Free Data, Standard Version 4-21 data product. This data product was collected using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. Data collection for this product is ongoing.The CALIPSO lidar level 3 aerosol data product reports monthly mean profiles of aerosol optical properties on a uniform spatial grid. It is intended to be a tropospheric product, so data are only reported below altitudes of 12 km. All level 3 parameters are derived from the version 4.21 CALIOP level 2 aerosol profile product and have been quality screened before averaging. The primary quantities reported are vertical profiles of the aerosol extinction coefficient at 532nm and its vertical integral, the aerosol optical depth (AOD). Aerosol type and spatial distribution information are also included. Averaged profile data is reported for all aerosols, regardless of type, and for mineral dust aerosols only. Classification of dust is based on the aerosol-type flags in the level 2 profile product. To keep level 3 file sizes manageable, four different types of level 3 files are produced, depending on the sky condition and the temporal coverage of the data prior to averaging.Description of the Four Sky Conditions (Day, Night)1) All Sky: All level 2 columns are averaged, regardless of cloud occurrence2) Cloud-Free: Only cloud-free level 2 columns are averaged3) Cloudy-Sky, Transparent: Only level 2 columns containing transparent clouds are averaged4) Cloud-Sky, Opaque: Only level 2 columns containing opaque clouds are averagedCALIPSO was launched on April 28, 2006, and continues to collect data necessary to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments: CALIOP, Imaging Infrared Radiometer (IIR), and Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre national d'études spatiales).
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