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Improved Gridded Precipitation Data Derived from Microwave Link Attenuation
- Source :
- Remote Sensing, Vol 13, Iss 2953, p 2953 (2021), Remote Sensing; Volume 13; Issue 15; Pages: 2953
- Publication Year :
- 2021
- Publisher :
- MDPI AG, 2021.
-
Abstract
- The motivation for improving gridded precipitation data lies in weather now-casting and flood forecasting. Therefore, over the past decade, Commercial Microwave Link (CML) attenuation data have been used to determine rain rates between microwave antennas, and to produce more accurate countrywide precipitation grids. CML networks offer a unique advantage for precipitation measurements due to their high density. However, these data experience uncertainty from several sources as reported in earlier research. This current work determines the reliability of rainfall measurements for each link by comparing CML-derived rain rates to adjusted weather radar rainfall at the link location, over three months. Dynamic Time Warping (DTW) is applied to the pair of CML/radar time-series data in two study areas, Israel and Netherlands. Based on the DTW amplitude and temporal distance, unreliable links are identified and flagged, and interpolated gridded precipitation data are derived in each country after filtering out those unreliable links. Correlations between CML-derived grids and rain observations from an independent set of gauges, tested over several rain events in both study areas, are higher for the reliable subset of CML than the full set. For certain storm events, the Kendall rank correlation for the set of reliable CML is almost double that of the complete set, demonstrating that improved gridded precipitation data can be obtained by removing unreliable links.
- Subjects :
- Dynamic time warping
010504 meteorology & atmospheric sciences
Meteorology
Reliability (computer networking)
Science
Flood forecasting
0207 environmental engineering
02 engineering and technology
01 natural sciences
law.invention
law
weather radar
commercial microwave links
Precipitation
Radar
020701 environmental engineering
0105 earth and related environmental sciences
Attenuation
Storm
interpolation
dynamic time warping
General Earth and Planetary Sciences
Environmental science
Weather radar
Subjects
Details
- Language :
- English
- ISSN :
- 20724292
- Volume :
- 13
- Issue :
- 2953
- Database :
- OpenAIRE
- Journal :
- Remote Sensing
- Accession number :
- edsair.doi.dedup.....f89ffbb7c4b7585e88f3a267270838d7