Preprints
https://doi.org/10.5194/hess-2021-262
https://doi.org/10.5194/hess-2021-262

  11 May 2021

11 May 2021

Review status: this preprint is currently under review for the journal HESS.

Citizen rain gauge improves hourly radar rainfall bias correction using a two-step Kalman filter

Punpim Puttaraksa Mapiam1, Monton Methaprayun1, Thom Bogaard2, Gerrit Schoups2, and Marie-Claire Ten Veldhuis2 Punpim Puttaraksa Mapiam et al.
  • 1Department of Water Resources Engineering, Kasetsart University, PO Box 1032, Bangkok, 10900, Thailand
  • 2Department of Water Management, Delft University of Technology, PO Box 5048, 2600 GA Delft, The Netherlands

Abstract. Low density of conventional rain gauge networks is often a limiting factor for radar rainfall bias correction. Citizen rain gauges offer a promising opportunity to collect rainfall data at higher spatial density. In this paper hourly radar rainfall bias adjustment was applied using two different rain gauge networks consisting of tipping buckets (measured by Thailand Meteorological Department, TMD) and daily citizen rain gauges in a two-step Kalman Filter approach. Radar reflectivity data of Sattahip radar station and gauge rainfall data from the TMD and citizen rain gauges located in Tubma basin, Thailand were used in the analysis. Daily data from the citizen rain gauge network were downscaled to hourly resolution based on temporal distribution patterns obtained from radar rainfall time series and the TMD gauge network. The radar rainfall bias correction factor was sequentially updated based on TMD and citizen rain gauge data using a Kalman Filter. Results show that an improvement of radar rainfall estimates was achieved by including the downscaled citizen observations compared to bias correction based on the conventional rain gauge network only. These outcomes emphasize the value of citizen rainfall observations for radar bias correction, in particular in regions where conventional rain gauge networks are sparse.

Punpim Puttaraksa Mapiam et al.

Status: open (until 18 Jul 2021)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on hess-2021-262', Anonymous Referee #1, 10 Jun 2021 reply
  • RC2: 'Comment on hess-2021-262', Anonymous Referee #2, 16 Jun 2021 reply

Punpim Puttaraksa Mapiam et al.

Punpim Puttaraksa Mapiam et al.

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Short summary
This study aimed to investigate the benefit of combining daily citizen rain gauges data with conventional hourly rain gauge network to improve the accuracy of hourly radar rainfall estimates. Tubma basin located in Rayong province, Thailand was used as a study area. Results showed that citizen rain gauges significantly improve the performance of hourly radar rainfall estimates, up to a range of about 40 km from the centre of the Tubma basin (197 km2) where the citizen rain gauges are located.