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A numerical method to generate high temporal resolution precipitation time series by combining weather radar measurements with a nowcast model
- Source :
- Nielsen, J E, Thorndahl, S L & Rasmussen, M R 2014, ' A Numerical Method to Generate High Temporal Resolution Precipitation Time Series by Combining Weather Radar Measurements with a Nowcast Model ', Atmospheric Research, vol. 138, no. March, pp. 1-12 . https://doi.org/10.1016/j.atmosres.2013.10.015
- Publication Year :
- 2014
- Publisher :
- Elsevier BV, 2014.
-
Abstract
- The topic of this paper is temporal interpolation of precipitation observed by weather radars. Precipitation measurements with high spatial and temporal resolution are, in general, desired for urban drainage applications. An advection-based interpolation method is developed which uses methods for vector field estimation already known from short-term weather radar nowcasting. However, instead of forecasting the weather radar rainfall, the proposed interpolation method exploits the advection of the rainfall in the interpolation. The interpolated rainfall fields are validated by measurements at ground level from laser disdrometers. The proposed interpolation method performs better when compared to traditional interpolation of weather radar rainfall where the radar observation is considered constant in time between measurements. It is demonstrated that the advection-based interpolation method reconstructs a significant part of the temporal variations of the rainfall. Moreover, the interpolated precipitation fields estimate accumulated rain depths more accurately.
- Subjects :
- Atmospheric Science
Quantitative precipitation estimation
Laser Disdrometers
Meteorology
Nowcasting
Quantitative Precipitation Estimates
Temporal interpolation of radar data
Physics::Geophysics
law.invention
Weather Radar
law
Temporal resolution
Quantitative precipitation forecast
Environmental science
Weather radar
Precipitation
Radar
Physics::Atmospheric and Oceanic Physics
Remote sensing
Interpolation
Subjects
Details
- ISSN :
- 01698095
- Volume :
- 138
- Database :
- OpenAIRE
- Journal :
- Atmospheric Research
- Accession number :
- edsair.doi.dedup.....861a98d0e2d6ee7b86195b16273e29e2