Cloud radar, micro rain radar, parsivel and pluvio measurements at Ny-Ålesund for 7 Feb 2018, 16 March 2018 and 16 April 2018

• Main Author: Ebell, Kerstin
• Format: Dataset
• Language: English
• Published: Zenodo 2020
• Subjects: radar; snowfall; remote sensing; precipitation; Arctic; Ny-Ålesund; Ny Ålesund
• Online Access: https://dx.doi.org/10.5281/zenodo.4017347; https://zenodo.org/record/4017347

This data set contains netcdf files of the University of Cologne's cloud radar MiRAC-A, micro rain radar, parsivel and pluvio installed at the Arctic research site AWPIEV at Ny-Ålesund. Data are available for 3 days: 7 Feb 2018, 16 March 2018 and 16 April 2018. The MiRAC-A hourly files (“mirac-a_nya_compact_*_P01_ZEN.nc” include (among other variables): float Ze(time, range) Ze:long_name = "Equivalent radar reflectivity factor Ze" Ze:units = "mm^6/m^3" float vm(time, range) vm:long_name = "Mean Doppler velocity" vm:units = "m/s" vm:comment = "negative values indicate falling particles towards the radar" float sigma(time, range) sigma:long_name = "Spectral width of Doppler velocity spectrum" sigma:units = "m/s" The Micro Rain Radar daily files (“*_nya_mrr_improtoo_0-101.nc”) include (among other variables): float Ze(time, range) Ze:description = "reflectivity of the most significant peak" Ze:units = "dBz" The parsivel daily files (“sups_nya_dm00_l1_any_v00_*.nc”) include (among other variables): float N(dclasses, time) N:fill_value = NaN N:units = "log10(m-3 mm-1)" N:long_name = "particle concentration per diameter class" float dclasses(dclasses) dclasses:units = "mm" dclasses:long_name = "volume equivalent diameter class center" The pluvio daily files (“pluvio_nya_*.nc”) include (among other variables): r_accum_NRT(dim) r_accum_NRT:description = "accumulated precipitation NRT" r_accum_NRT:units = "mm" All available variables are listed and described in the header of the corresponding netcdf files. : {"references": ["K\u00fcchler, N., S. Kneifel, U. L\u00f6hnert, P. Kollias, H. Czekala, T. Rose, 2017: A W-band radar-radiometer system for accurate and continuous monitoring of clouds and precipitation, J. Atmos. Oceanic Tech., https://doi.org/10.1175/JTECH-D-17-0019.1", "Maahn, M. and Kollias, P., 2012: Improved Micro Rain Radar snow measurements using Doppler spectra post-processing, Atmos. Meas. Tech., 5, 2661-2673, doi:10.5194/amt-5-2661-2012."]}