Radar data collected in ice-phase clouds at the Chilbolton Observatory using radars at 3, 35 and 94 GHz during 2014-2015. The experimental setup is described in Stein et al (2015) DOI: 10.1002/2014GL062170 - see related documents section on this record. Raw pulse-to-pulse data were collected from all 3 radars, and have been post processed to common, synchronised time bins, for maximum ease of colocation. These data were produced as part of the NERC funded Exploiting multi-wavelength radar Doppler spectra to characterise the microphysics of ice hydrometeors project (grant reference: NE/K012444/1).

The Aberystwyth Egrett Experiment: Gravity Waves, Turbulence, Mixing and Filamentation in the Tropopause Region is a Upper Troposphere Lower Stratosphere (UTLS) Round 2 project led by Dr J. Whiteway and Dr G. Vaughan, Department of Physics, University of Wales, Aberystwyth. This dataset contains NERC MST Radar Facility at Aberystwyth, Mid-Wales.

Data were collected from the 4th of April 2002 to the present by the Ultra-violet Raman lidar at Chilbolton Observatory, Hampshire. The dataset contains measurements of attenuated backscatter coefficients of aerosols within the atmosphere, and a full Doppler spectrum, and moments Z, v, and w.

Data were collected from the 30th of March 1999 to the 30th of March 2011 by the CAMRa (Chilbolton Advanced Meteorological Radar) at Chilbolton Observatory, Hampshire. The dataset contains measurements of radial component of wind velocity, radar frequency, differential phase shift and unfolded Doppler velocity. Plots are also available of differential phase shift, Doppler velocity, radar reflectivity factor, and linear depolarisation ratio.

Data were collected from the 4th of April 2002 to the present by the Ultra-violet Raman lidar at Chilbolton Observatory, Hampshire. The dataset contains measurement and display of the full Doppler spectrum, and the moments Z, v and w of air.

Data from the Synthetic Aperture Radar and Hyperspectral Airborne campaign (SHAC) run by the Natural Environment Research Council (NERC) and the British National Space Centre (BNSC). The campaign intended to provide support for industrial and academic research into earth resource and environmental monitoring. The campaign was managed by NRSC- now Infoterra. Fourteen different locations were flown in May and June 2000 in the campaign (see Fig.1), logistical constraints requiring two aircraft be used to fly the two instruments individually.

This dataset contains Stripmap Mode (SM) C-band Synthetic Aperture Radar (SAR) Single Look Complex (SLC) data from the European Space Agency (ESA) Sentinel 1B satellite. Sentinel 1B was launched on 25th April 2016 and provides continuous all-weather, day and night imaging radar data. The SM mode is used only on special request for extraordinary events such as emergency management. The SM mode supports single (HH or VV) and dual (HH+HV or VV+VH) polarisation. Stripmap SLCs contain one image per polarisation band from one of six overlapping beams. Each beam covers 80.1 km, covering a combined range of 375 km. Pixel spacing is determined, in azimuth by the pulse repetition frequency (PRF), and in range by the radar range sampling frequency, providing natural pixel spacing. These data are available via CEDA to any registered user.

This dataset contains Stripmap Mode (SM) C-band Synthetic Aperture Radar (SAR) Single Look Complex (SLC) data from the European Space Agency (ESA) Sentinel 1B satellite. Sentinel 1B was launched on 25th April 2016 and provides continuous all-weather, day and night imaging radar data. The SM mode is used only on special request for extraordinary events such as emergency management. The SM mode supports single (HH or VV) and dual (HH+HV or VV+VH) polarisation. Stripmap SLCs contain one image per polarisation band from one of six overlapping beams. Each beam covers 80.1 km, covering a combined range of 375 km. Pixel spacing is determined, in azimuth by the pulse repetition frequency (PRF), and in range by the radar range sampling frequency, providing natural pixel spacing. These data are available via CEDA to any registered user.

This dataset contains radar-derived measurements of cell-top height, size, 2 km reflectivity, and cell latitude and longitude from all convective cells between 14 May and 30 September 2016, where radar is available. The data was collected as part of the NERC/MoES Interaction of Convective Organization and Monsoon Precipitation, Atmosphere, Surface and Sea (INCOMPASS) field campaign. The seven sites analysed here represent four different Indian climate regions, allowing the study of the spatiotemporal development of convection during the 2016 monsoon season at high (1 km) resolution. Variation in these different cell statistics are found over timescales of variability such as the diurnal cycle, active-break periods, and monsoon progression. The data were collected as part of the INCOMPASS field campaign May-July 2016, funded by Natural Environmental Research Council (NERC) (NE/L01386X/1). The aim of the project was to improve the skill of rainfall prediction in operational weather and climate models by way of better understanding and representation of interactions between the land surface, boundary layer, convection, the large-scale environment and monsoon variability on a range of scales.

This dataset contains radar-derived measurements of cell-top height, size, 2 km reflectivity, and cell latitude and longitude from all convective cells between 14 May and 30 September 2016, where radar is available. The data was collected as part of the NERC/MoES Interaction of Convective Organization and Monsoon Precipitation, Atmosphere, Surface and Sea (INCOMPASS) field campaign. The seven sites analysed here represent four different Indian climate regions, allowing the study of the spatiotemporal development of convection during the 2016 monsoon season at high (1 km) resolution. Variation in these different cell statistics are found over timescales of variability such as the diurnal cycle, active-break periods, and monsoon progression. The updated radar-derived cell statistics here have been corrected from the previous version by removing all convective cells that touch the outer edge of the radar domain. The data were collected as part of the INCOMPASS field campaign May-July 2016, funded by Natural Environmental Research Council (NERC) (NE/L01386X/1). The aim of the project was to improve the skill of rainfall prediction in operational weather and climate models by way of better understanding and representation of interactions between the land surface, boundary layer, convection, the large-scale environment and monsoon variability on a range of scales.