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3 results for “radiosounding”
Simulated microwave brightness temperatures based on two radiosoundings performed during the MOSAiC expedition
<p>This data set contains simulated brightness temperatures in the microwave spectrum for a summer case and a winter case based on radiosoundings performed during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition <strong>[1]</strong>. The simulations cover the frequencies 1-400 GHz and have been performed with the Passive and Active Microwave radiative TRAnsfer model (PAMTRA, <strong>[2]</strong>). Dimensions 'grid_x', 'grid_y', 'outlevel' can be truncated as they have the length 1. To get simulated brightness tempeartures (TBs) of a zenith-looking microwave radiometer, chose the last index of the dimension 'angles' (which is zenith angle 0°) and average over the 'passive_polarization' dimension. The data has been used to generate Fig. 1 of <strong>[3]</strong>.</p> <p> </p> <p><strong>[1]:</strong> Maturilli, M., Holdridge, D. J., Dahlke, S., Graeser, J., Sommerfeld, A., Jaiser, R., Deckelmann, H., Schulz, A.: Initial radiosonde data from 2019-10 to 2020-09 during project MOSAiC [dataset publication series]. Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.928656, 2021.</p> <p><strong>[2]:</strong> Mech, M., Maahn, M., Kneifel, S., Ori, D., Orlandi, E., Kollias, P., Schemann, V., and Crewell, S.: PAMTRA 1.0: the Passive and Active Microwave radiative TRAnsfer tool for simulating radiometer and radar measurements of the cloudy atmosphere, Geoscientific Model Development, 13, 4229–4251, https://doi.org/10.5194/gmd-13-4229-2020, 2020.</p> <p><strong>[3]:</strong> Walbröl, A., Griesche, H. J., Mech, M., Crewell, S., and Ebell, K.: Combining low- and high-frequency microwave radiometer measurements from the MOSAiC expedition for enhanced water vapour products, Atmospheric Measurement Techniques, 17, 6223-6245, https://doi.org/10.5194/amt-17-6223-2024, 2024.</p>
RHARM (Radiosounding HARMonization) dataset - subset
<p>In the context of the Copernicus Climate Change Service (C3S), a novel approach, named RHARM (Radiosounding HARMonization), has been developed to provide a harmonized dataset of temperature, humidity and wind profiles along with an estimation of the measurement uncertainties for about 650 radiosounding stations globally. </p> <p>The RHARM method is applied to the Integrated Global Radiosonde Archive (IGRA) Version 2 which is the most comprehensive collection of historical and near-real-time radiosonde and pilot balloon observations from around the globe, maintained and distributed by the National Oceanic and Atmospheric Administration’s National Centers for Environmental Information (NCEI). The daily (0000 and 1200 UTC) radiosonde data holdings on 16 standard pressure levels (from 1000 to 10 hPa) from 1978 to present are post-processed or statistically homogenized using the RHARM approach. The applied adjustments are interpolated to all reported significant levels to retain information content contained within each individual ascent profile. </p> <p>The RHARM algorithm is the first to provide homogenized time series of temperature, relative humidity and wind profiles alongside an estimation of the observational uncertainty for each single observation at each pressure level. </p> <p>A copy of the RHARM dataset is stored in the Copernicus Climate Data Store (CDS) although not publicly available yet. For review purposes only, a subset has been made available here.</p>
Data from Radiosounding System (RSS) measurements during the urbisphere-Berlin campaign from 2022-03-28 to 2022-08-11 [RAW]
<p>Original data files from RSS measurements.</p>
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