Print Email Facebook Twitter Consolidating Gauge, Weather Radar and GPM DPR Level 2A Observations of High-intensity Rainfall Events in the Netherlands Title Consolidating Gauge, Weather Radar and GPM DPR Level 2A Observations of High-intensity Rainfall Events in the Netherlands Author Wisman, Liselotte (TU Delft Civil Engineering and Geosciences) Contributor van de Giesen, N.C. (mentor) Uijlenhoet, R. (mentor) Schleiss, M.A. (mentor) Degree granting institution Delft University of Technology Programme Water Management Date 2022-07-14 Abstract The Dual-Frequency Precipitation Radar on board the Global Precipitation Measurement (GPM) mission core satellite has been providing precipitation products across the globe for over 6 years, thereby even supplying precipitation estimates for areas on Earth where surface-based precipitation measurements are not possible, like in remote regions, as well as seas and oceans. In this study, the GPM DPR Ku-band Level 2A instantaneous observations are compared with continuous measurements from a surface network in the Netherlands for high-intensity precipitation events during summer months. The aim of the research is to gain more insights in the temporal and spatial correspondence of the DPR’s measurements with precipitation occurring on the surface. The surface network consists of 2 C-band weather radars and an automatic gauge network of 33 gauges (approximately 50 km apart). Radar reflectivity factor is one of the prime parameters used for precipitation retrievals from radars and is thus the parameter used for anal- ysis of both the DPR and the weather radar network. Precipitation intensity is the parameter retrieved from the automatic gauge network. Space-borne and surface measurements have vary- ing characteristics, for instance in spatial and temporal resolution, and thus many challenges arise to perform an accurate and qualitative comparison. In this research, data is funneled by selecting high-intensity gauge data with a threshold of 15 mm/h within 40 minutes from GPM scan time within a 2.5 km range from the nearest DPR footprint. Ultimately, 26 high-intensity gauge measurements spread over 18 dates were used in the comparison analyses, selected out of data ranging from May - October for the years 2018 - 2021. The analyses showed that DPR and WR data correspond best in time (average correlation of 0.785) when DPR scantime is within 3 minutes of WR scantime. Also, results showed that instantaneous DPR data can be related to high-intensity gauge observations within a 40 minute time range by use of wind direction and wind speed. Furthermore, it was observed that precipitation performance of DPR is found satisfactory for intensity ≥ 0.5 mm/h (POD between 0.7 - 0.9 based on distance WS-IFOV), but unsatisfactory for intensities ≥ 15 mm/h (POD of 0.18 - 0.25). The results imply that DPR measurements don’t have an obvious temporal and spatial lag with respect to the observations made from the surface and thus form a prospect for global usage, if more follow-up research is conducted. Subject severe precipitationremote sensingweather radarGPM DPRgaugescomparison study To reference this document use: http://resolver.tudelft.nl/uuid:5694756e-4dfd-462f-9de9-b072c4b3cb2d Bibliographical note Specialization in Water Management and Environmental Engineering Part of collection Student theses Document type master thesis Rights © 2022 Liselotte Wisman Files PDF MScThesis_LiselotteWisman.pdf 70.99 MB Close viewer /islandora/object/uuid:5694756e-4dfd-462f-9de9-b072c4b3cb2d/datastream/OBJ/view