This study compares the instantaneous surface rain rate estimates over Great Britain and Ireland (GBI) from the spaceborne dual-frequency precipitation radar (DPR) and the GPM microwave imager (GMI) on board the GPM Core Observatory (GPM-CO) to estimates from the ground-based United Kingdom Meteorological Office's ground-radar network. In particular, the version-5, level-2 DPR and DPR-GMI (CMB) combined products (5 km resolution) and the Radarnet 4 radar composite product (1 km resolution) are used for the three year study (May 2014 - April 2017). Products are collocated both temporally and spatially, and subject to quality control, prior to the comparison where the Radarnet product is considered to be the “ground truth”. The GPM products are found to underestimate the surface rain rates detected by the Radarnet product from a sample of 575512 collocated 5 km data. The CMB product (bias -2% and correlation 0.49) performs better in comparison to the DPR product (bias -17% and correlation 0.42). Large standard deviations of around 132% suggest that the results are highly variable.
Funding
The authors would like to thank Steven Best of the Met Office for the information he provided regarding the production of the Radarnet composite 5 minute, 1 km resolution data files via email communication. The version 5 (V05) level-2A DPR and level-2B CMB data were provided by the NASA/Goddard Space Flight Center and PPS, which develop and compute the version 5 (V05) level-2A DPR and level-2B CMB data as a contribution to GPM, and archived at the NASA GES DISC. The 1 km resolution UK composite rainfall data was provided by the Met Office Radarnet system and the Centre for Environmental Data Analysis. This research used the SPECTRE High Performance Computing Facility at the University of Leicester.
History
Citation
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018, pp. 9317-9320 (4)
Author affiliation
/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Physics and Astronomy
Source
38th IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Valencia, SPAIN
Version
AM (Accepted Manuscript)
Published in
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
Publisher
Institute of Electrical and Electronics Engineers (IEEE)