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46 results for “radiosonde”
Atmospheric profiling data collected from radiosondes in the Southern Ocean in the austral summer of 2016/2017 during the Antarctic Circumnavigation Expedition.
<p><strong>Dataset abstract</strong></p> <p>The data set consists of the vertical profiles of the atmospheric variables measured using radiosondes (i-Met) during the Antarctic Circumnavigation Expedition from November 2016 to April 2017. The data include the raw variables measured directly by the radiosondes and derived parameters: altitude (km), air pressure (mb), air temperature (ºC), relative humidity (%), frostpoint (ºC), potential temperature (ºK), water vapour mixing ratio (ppmv), total column water (mm w.e.), wind speed (m/s) and wind direction (deg).</p> <p><strong>Dataset contents</strong></p> <ul> <li>aceNNN_yyyymmdd, directory <ul> <li>aceNNN_yyyymmdd.csv, data file, comma-separated values</li> <li>aceNNN_yyyymmdd.kml, metadata, XML</li> <li>aceNNN_yyyymmdd.raw, data file, raw, ASCII DOS</li> <li>aceNNN_yyyymmdd.raw_config, metadata, XML</li> <li>aceNNN.de1, metadata, ASCII text format</li> <li>aceNNNflt.dat, data file, ASCII text format</li> <li>aceNNNpre.dat, data file, ASCII text format</li> </ul> </li> <li>plots, directory <ul> <li>Sounding_ACENNN.png, metadata, portable network graphics</li> </ul> </li> <li>data_file_header_csv.txt, metadata, text format</li> <li>data_file_header_dat.txt, metadata, text format</li> <li>data_file_header_launches.txt, metadata, text format</li> <li>README.txt, metadata, text format</li> <li>overview_radiosonde_launches.csv, metadata, comma-separated value</li> </ul> <p>where NNN is the launch number yyyy is the year, mm is the month and dd is the day. Dates are in UTC.</p> <p>json files make up a Frictionless Data package.</p> <p><strong>Dataset citation</strong></p> <p>Please cite this dataset as:</p> <p>Gorodetskaya, I.V., Thurnherr, I., Tsukernik, M., Graf, P., Aemisegger, F., Wernli, H. and Ralph, F.M. (2021). Atmospheric profiling data collected from radiosondes in the Southern Ocean in the austral summer of 2016/2017 during the Antarctic Circumnavigation Expedition. (Version 1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.4382460</p>
QBO: monthly zonal stratospheric winds from tropical radiosonde data (mainly Singapore)
<p><strong>Monthly Tropical Stratospheric Zonal Winds from Radiosondes</strong></p> <p><strong>Data Source and Processing:</strong></p> <p>Monthly mean zonal wind data for the tropics are provided as a service for the global QBO and trend analysis communities. The original data source and processing chain were established by the Free University of Berlin (FUB). Currently, the data is processed at the Karlsruhe Institute of Technology (KIT, ROR:04t3en479), Institute of Meteorology and Climate Research (IMK), Germany with the tools developed at FUB.</p> <p><strong>Data Description:</strong></p> <p>The dataset includes monthly mean zonal wind values at pressure levels 100, 90, 80, 70, 60, 50, 45, 40, 35, 30, 25, 20, 15, 12, and 10 hPa, derived from radiosonde observations at four equatorial stations:</p> <ul> <li>Kiribati (Canton Island) - data from 1953 to 1967 (closed)</li> <li>Maldives (Gan Island) - data from 1967 to 1975 (closed)</li> <li>Singapore (Payalebar) - data from 1975 to 1989</li> <li>Singapore (Changi) - data from 1989 onwards</li> </ul> <p><strong>Important Notes:</strong></p> <ul> <li>Values for 100 hPa from October 1967 are solely from Singapore (Changi).</li> <li>Values for 100 hPa before October 1967 are from Kiribati (Canton Island) when available.</li> <li>Detailed information about the radiosonde stations and their periods of operation is provided below.</li> </ul> <p><strong>Additional Information:</strong></p> <ul> <li>Access the data in other formats also published here: <a href="https://www.atmohub.kit.edu/english/807.php" target="_blank" rel="noopener noreferrer">https://www.atmohub.kit.edu/english/807.php</a></li> </ul> <p><strong>Detailed List of Radiosonde Stations:</strong></p> <div> <div> <div> <div> <table> <tbody> <tr> <th>Station Name</th> <th>Location (Lat, Lon)</th> <th>Data Period</th> <th>Pressure Levels (hPa)</th> </tr> <tr> <td>Kiribati (Canton Island)</td> <td>-2.7667, -171.7167</td> <td>1953 - 1967 (closed)</td> <td> <p>Above 100 (until August 1967)</p> <p>100 (until September 1967)</p> </td> </tr> <tr> <td>Maldives (Gan Island)</td> <td>-0.6933, 73.1556</td> <td>1967 - 1975 (closed)</td> <td>Above 100 (September 1967 to December 1975)</td> </tr> <tr> <td>Singapore (Payalebar)</td> <td>1.3667, 103.9167</td> <td>1975 - 1989</td> <td>Above 100 (January 1976 to May 1989)</td> </tr> <tr> <td>Singapore Upper Air Observatory</td> <td>1.3404, 103.8879</td> <td>1989 - present</td> <td> <p>100 (October 1967 to May 1989), </p> <p>All levels from June 1989</p> </td> </tr> </tbody> </table> </div> </div> </div> </div> <div> </div>
Comparison results from 'A global comparison of integrated water vapour estimates from WMO radiosondes, AERONET sun photometers and GPS for the 17 year period from 1997 to 2013' by Wilson, Hansen, Bingley and Milton
<p>This dataset contains the raw comparison results from the paper <em>A global comparison of integrated water vapour estimates from WMO radiosondes, AERONET sun photometers and GPS for the 17 year period from 1997 to 2013</em> by Wilson, Hansen, Bingley and Milton.</p> <p>The three files contain comparisons between:</p> <p>a) AERONET and Radiosonde (Validation_AERONET-Radiosonde.csv)</p> <p>b) AERONET and GPS (Validation_AERONET.csv)</p> <p>c) Radiosonde and GPS (Validation_Radiosonde.csv)</p>
A dataset of completeness of radiosonde humidity observations based on the IGRA
<p>This dataset describes the completeness of radiosonde humidity observations, from the early times until the end of 2016, based on the sounding data of the Integrated Global Radiosonde Archive (IGRA) Version 2 released by the NOAA's National Centers for Environmental Information. The IGRA stations for which we have radiosonde data on at least 5% of the annual soundings (radiosonde and pilot balloon observations) for at least one year were evaluated for every year reported in their periods of record according to specified parameters regarding humidity data in the form of either relative humidity or dewpoint-depression.</p> <p>The dataset is divided in three components: 1) Statistical metadata describing humidity completeness on a yearly basis for each station; 2) Metadata describing humidity completeness in individual observations from the same stations; 3) List of the 1723 stations represented in the whole dataset, including their geographic coordinates, along with metadata providing information on the observing periods for humidity and the corresponding amounts of observations. The accompanying Readme file describes the data format and file contents.</p> <p> </p>
Dataset used for the study of "Validation of Aeolus wind profiles using ground-based lidar and radiosonde observations at La Réunion Island and the Observatoire de Haute Provence"
<p>Datasets used to create the figures and statistical study in "Validation of Aeolus wind profiles using ground-based lidar and radiosonde observations at La Réunion Island and the Observatoire de Haute Provence" </p>
TEAMx-PC22 (TEAMx pre-campaign 2022) – DWD Radiosonde lauches and drone measurements at Brannenburg
<p>This dataset contains data from 9 radiosonde launches and 6 drone ascents of an IOP on 18./19.7.2022 during the TEAMx pre-campaign 2022. More details about TEAMx can be found at <a href="http://www.teamx-programme.org/">http://www.teamx-programme.org</a>.</p> <p><strong>DATA SET DESCRIPTION</strong></p> <p><strong>1. Measurement location and measured variables</strong></p> <p>Radiosonde launches and drone measurements were conducted at the site of Brannenburg (456m MSL) at the following coordinates:</p> <table> <thead> <tr> <th scope="col"> </th> <th scope="col">Coordinates</th> <th scope="col">Instrument</th> <th scope="col">Measured Variables</th> <th scope="col">Time of sounding [UTC]</th> </tr> </thead> <tbody> <tr> <td>Radiosonde</td> <td> <p>47.742376 N</p> 12.121785 E</td> <td>Radiosonde Vaisala RS41</td> <td>GPH, WDIR, WSPEED, T, DT, potT, P</td> <td> <p>18.07. 12:03</p> <p>18.07. 13:45</p> <p>18.07. 16:45</p> <p>18.07. 19:45</p> <p>18.07. 22:45</p> <p>19.07. 01:45</p> <p>19.07. 04:42</p> <p>19.07. 07:46</p> 19.07. 08:28</td> </tr> <tr> <td>Drone</td> <td> <p>47.742840 N</p> <p>12.121808 E</p> </td> <td>Drone DJI Mavic pro, iMETXQ2</td> <td>T, RH, P</td> <td> <p>18.07. 12:45</p> <p>18.07. 13:45</p> <p>18.07. 16:45</p> <p>18.07. 22:45</p> 19.07. 01:45</td> </tr> </tbody> </table> <p> </p> <p> </p> <p> </p>
POLITO Radiosonde Cluster: In-Field Experiment Dataset
<p>This dataset comprises data from in-field experiments involving a cluster of POLITO radiosondes launched under various atmospheric conditions:</p> <p>Launch 1. In-field cluster launch of 10 radiosondes on a cloudy day within the Alpine Atmospheric Boundary Layer (ABL), St. Barthelemy, Valle d'Aosta, November 3, 2022. <br>Launches 2-3. Two in-field cluster launches with 10 and 12 radiosondes within the Chilbolton ABL, UK (July 5-6, 2023, WESCON campaign). <br>Launch 4. In-field cluster launch of 10 radiosondes within the Udine, Italy ABL (June 19, 2024, CISM).<br>Launches 5-6. Two in-field cluster launches with 5 and 9 radiosondes respectively within the Chilbolton ABL, UK (September 24-26, 2023, AMOF application).</p> <p>For more info and questions, please contact to shahbozbek.abdunabiev@polito.it, daniela.tordella@polito.it. </p>
Tropospheric delays and precipitable water vapor retrieved from global radiosonde observations from 2014 to 2019
<p>The data consists of a set of meteorological quantities including tropospheric delays (zenith wet delay, zenith hydrostatic delay, and zenith total delay), precipitable water vapor, and surface temperature and pressure. The data is retrieved from the observations of 414 globally distributed radiosonde stations from 2014 to 2019. In addition to the geographic information of radiosonde stations, the profiles of tropospheric delays and precipitable water vapor are contained in the data file. This data has a wide range of applications, e.g., validating the tropospheric delays and precipitable water vapor derived from other techniques, investigating the spatial-temporal variations of water vapor, and acting as training data of machine learning to build tropospheric delay models.</p> <p>In the manuscript "Machine Learning-based Model for Real-time GNSS Precipitable Water Vapor Sensing", this data is used to train a machine learning model to map the zenith total delays to precipitable water vapor. The data is split into training data and test data, where the data from 2014 to 2018 are employed for model training, and the data of 2019 are used for testing. The developed models and the results for the manuscript are saved in the directories of Models and Results, respectively.</p>
Radiosonde and sun photometer data set
<p>Radiosonde and sun photometer data set used in the paper "Precipitable water vapor retrievals using a ground-based infrared sky camera in subtropical South America" - Atmospheric Measurement Techniques, by Hack et al. 2023.</p>
Hunga Tonga-Hunga Ha'apai stratospheric water vapor from Vaisala RS41 radiosondes
The Hunga Tonga-Hunga Ha'apai volcanic eruption on 15 January 2022 injected unprecedented amounts of water vapor into the stratosphere (Vömel et al., 2022). This data set contains observations using Vaisala RS41 radiosondes obtained in the weeks following the eruption, which were launched as part of the operational upper air network and distributed through the WMO Global Telecommunication System (GTS). It also includes one research sounding using the Cryogenic Frostpoint Hygrometer launched at the Maïdo Observatory at Reunion one week after the eruption. Vömel H., S. Evan, and M. Tully (2022): Water vapor injection into the stratosphere by Hunga Tonga-Hunga Ha'apai, Science, 377, 1444-1447, doi: 10.1126/science.abq2299.
Zenith: A Radiosonde detector for Rapid-Response Ionising Atmospheric Radiation Measurements during Solar Particle Events
<p>Supporting data for journal paper titled "Zenith: A Radiosonde detector for Rapid-Response Ionising Atmospheric Radiation Measurements during Solar Particle Events" published in the AGU journal Space Weather.</p>
Data for clear-air turbulence calculated from high-resolution radiosonde measurements at cruising altitudes in China during the period from 2010 to 2022.
<p>The file is the turbulence dissipation rate(ε) data, calculated using high-resolution radiosonde measurements at cruising altitudes in China, during the period from 2010 to 2022. More description can be seen in the read_me.txt.</p>
Raman data and corresponding radiosonde from Beijing Institute of Technology
<p>Uploaded data includes: </p> <p>1. data of pure rotational Raman lidar system arranged in Beijing Institute of Technology from the day of Feb. 27 to Mar. 2, 2017,</p> <p>2. radiosonde data for the above dates,</p> <p>3. README files.</p> <p> </p>
Wuhan Radiosonde data for LLR atmospheric delay correction study
<p>Wuhan (57494) radiosonde data for studing atmospheric refraction-induced delay correction in lunar laser ranging</p>
GPM Ground Validation Upper Air Radiosonde OLYMPEX V1
The GPM Ground Validation Upper Air Radiosonde OLYMPEX dataset was collected from October 28, 2015 through January 16, 2016 during the GPM Ground Validation Olympic Mountain Experiment (OLYMPEX) held on the Olympic Peninsula in the Pacific Northwest of the United States. Radiosondes were released from 5 locations: 3 in US - KSLE, KUIL, and NPOL site; and 2 in Canada - ECCC instrument site and CYZT. A total of 651 radiosondes were launched and collected during OLYMPEX from these sites. In addition, Level 4 dropsonde data were reprocessed to match the Level-4 data format and content of the radiosonde files and is also provided here. The dropsondes were released from the NASA DC-8 aircraft during specific flights in December 2015 and are published as the AVAPS dataset. This Upper Air Radiosonde dataset contains Level 0 through Level 4 data containing dew point temperature, pressure, air temperature, relative humidity, horizontal wind speed, vertical wind speed, wind direction, rise or drop rate, and geopotential height measurements. The data files are available in ASCII, ASCII-EOL, and netCDF-3 formats, as well as Skew-T and time series plots in PNG format. The lower level datasets (Level 0 raw data through Level 2 data) are only available upon request from the NASA GHRC DAAC.
Temperature Profiles: Radiosonde (FIFE)
The temperature profile data included in this data set was derived from the FIFE radiosonde data collected during the summer and fall of 1987 and the late summer of 1989 by Dr. Wilfred H. Brutsaert. These intensive radiosonde flights allowed the measurement of the atmospheric profiles of potential temperature and specific humidity. These data have been corrected for sensor delays, algorithm inconsistencies and have been interpolated to a set of standard pressure levels.
SMEX02 Balloon-borne Radiosonde Data, Iowa, Version 1
This data set includes radiosonde measurements of upper air temperature and pressure, relative humidity, and wind direction and speed during the balloons' ascent to the upper atmosphere.
CAMEX-4 ANDROS ISLAND RAWINSONDE AND RADIOSONDES V1
The CAMEX-4 Andros Lisland Rawinsonde and Radiosondes dataset was collected by using numerous rawinsondes (radiosondes), which were launched from Andros Island in support of CAMEX-4. These sondes provided atmospheric soundings of temperature, pressure, relative humidity, wind, and altitude.
GPM Ground Validation Upper Air Radiosonde LPVEx V1
The GPM Ground Validation Radiosonde LPVEx dataset consists of sounding data collected as part of the Global Precipitation Measurement (GPM) mission Ground Validation Light Precipitation Validation Experiment (LPVEx). This field campaign took place around the Gulf of Finland in September and October of 2010. The goal of the campaign was to provide additional high altitude, light rainfall measurements for the improvement of GPM satellite precipitation algorithms. The Vaisala RS92 radiosonde was used to produce vertical profiles of atmospheric temperature, pressure, humidity, and winds. The radiosondes were launched from two locations: Kumpula and Vantaa. The Upper Air Radiosonde LPVEx dataset consists of TSV data files and PNG browse image files.
Wind Profile Data: Radiosonde (FIFE)
The wind profile data described in this document were derived from the raw radiosonde data collected during FIFE by Dr. Wilfred H. Brutsaert during the summer and fall of 1987 and the late summer of 1989 The objective of this study was to calculate wind velocity and wind direction from successive horizontal positions of a radiosonde. These data have allowed the measurement of the atmospheric profiles of wind velocity and direction. The raw data have also been corrected for sensor delays and have been interpolated to a set of standard pressure levels. Successive horizontal positions of the radiosonde balloon in relation to its release point was used to calculate average wind speed and direction. The variables used to make these calculations were obtained from the FIFE Radiosonde Data. The balloon height was calculated by adding 10 m (i.e., the length of the string) to the height of the sonde. The horizontal distance of the sonde, together with the measured azimuth angle (also obtained from the FIFE Radiosonde Data), produced the horizontal position of the sonde. Finally, successive horizontal positions allowed the calculation of average wind velocity and direction over the interval. Note, as a result of the addition of 10 m for most flights, the height of the wind measurements in this data set is 10 meters higher than the companion values in the original FIFE Radiosonde Data.
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