improving the precipitation accumulation analysis using lightning measurements and different integration periods
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2017
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Abstract
The focus of this article is to improve the precipitation
accumulation analysis, with special focus on the intense precipitation
events. Two main objectives are addressed: (i) the assimilation of lightning
observations together with radar and gauge measurements, and (ii) the
analysis of the impact of different integration periods in the radar–gauge
correction method. The article is a continuation of previous work by Gregow et al. (2013) in the
same research field.
A new lightning data assimilation method has been implemented and validated within the Finnish Meteorological Institute – Local Analysis and Prediction System. Lightning data do improve the analysis when no radars are available, and even with radar data, lightning data have a positive impact on the results.
The radar–gauge assimilation method is highly dependent on statistical relationships between radar and gauges, when performing the correction to the precipitation accumulation field. Here, we investigate the usage of different time integration intervals: 1, 6, 12, 24 h and 7 days. This will change the amount of data used and affect the statistical calculation of the radar–gauge relations. Verification shows that the real-time analysis using the 1 h integration time length gives the best results.
A new lightning data assimilation method has been implemented and validated within the Finnish Meteorological Institute – Local Analysis and Prediction System. Lightning data do improve the analysis when no radars are available, and even with radar data, lightning data have a positive impact on the results.
The radar–gauge assimilation method is highly dependent on statistical relationships between radar and gauges, when performing the correction to the precipitation accumulation field. Here, we investigate the usage of different time integration intervals: 1, 6, 12, 24 h and 7 days. This will change the amount of data used and affect the statistical calculation of the radar–gauge relations. Verification shows that the real-time analysis using the 1 h integration time length gives the best results.
| Reference Key |
gregow2017hydrologyimproving
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|---|---|
| Authors | ;E. Gregow;A. Pessi;A. Mäkelä;E. Saltikoff |
| Journal | materials research bulletin |
| Year | 2017 |
| DOI |
10.5194/hess-21-267-2017
|
| URL | |
| Keywords |
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