Articles | Volume 26, issue 3
https://doi.org/10.5194/hess-26-775-2022
https://doi.org/10.5194/hess-26-775-2022
Research article
 | 
11 Feb 2022
Research article |  | 11 Feb 2022

Citizen rain gauges improve hourly radar rainfall bias correction using a two-step Kalman filter

Punpim Puttaraksa Mapiam, Monton Methaprayun, Thom Bogaard, Gerrit Schoups, and Marie-Claire Ten Veldhuis

Related authors

Multi-decadal fluctuations in root zone storage capacity through vegetation adaptation to hydro-climatic variability have minor effects on the hydrological response in the Neckar River basin, Germany
Siyuan Wang, Markus Hrachowitz, and Gerrit Schoups
Hydrol. Earth Syst. Sci., 28, 4011–4033, https://doi.org/10.5194/hess-28-4011-2024,https://doi.org/10.5194/hess-28-4011-2024, 2024
Short summary
Adaptation of root zone storage capacity to climate change and its effects on future streamflow in Alpine catchments: towards non-stationary model parameters
Magali Ponds, Sarah Hanus, Harry Zekollari, Marie-Claire ten Veldhuis, Gerrit Schoups, Roland Kaitna, and Markus Hrachowitz
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-260,https://doi.org/10.5194/hess-2024-260, 2024
Revised manuscript under review for HESS
Short summary
Invited Perspectives: Integrating hydrologic information into the next generation of landslide early warning systems
Benjamin B. Mirus, Thom A. Bogaard, Roberto Greco, and Manfred Stähli
EGUsphere, https://doi.org/10.5194/egusphere-2024-1219,https://doi.org/10.5194/egusphere-2024-1219, 2024
Short summary
Machine-learning-based nowcasting of the Vögelsberg deep-seated landslide: why predicting slow deformation is not so easy
Adriaan L. van Natijne, Thom A. Bogaard, Thomas Zieher, Jan Pfeiffer, and Roderik C. Lindenbergh
Nat. Hazards Earth Syst. Sci., 23, 3723–3745, https://doi.org/10.5194/nhess-23-3723-2023,https://doi.org/10.5194/nhess-23-3723-2023, 2023
Short summary
A Bayesian model for quantifying errors in citizen science data: application to rainfall observations from Nepal
Jessica A. Eisma, Gerrit Schoups, Jeffrey C. Davids, and Nick van de Giesen
Hydrol. Earth Syst. Sci., 27, 3565–3579, https://doi.org/10.5194/hess-27-3565-2023,https://doi.org/10.5194/hess-27-3565-2023, 2023
Short summary

Related subject area

Subject: Hydrometeorology | Techniques and Approaches: Theory development
Accelerated soil moisture drought onset link to high temperatures and asymmetric responses associated with the hit timing
Yi Liu, Zhimin Wang, Xinyu Zhang, Ye Zhu, Liliang Ren, Shanshui Yuan, and Junliang Jin
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-199,https://doi.org/10.5194/hess-2024-199, 2024
Revised manuscript accepted for HESS
Short summary
Variation and attribution of probable maximum precipitation of China using a high-resolution dataset in a changing climate
Jinghua Xiong, Shenglian Guo, Abhishek, Jiabo Yin, Chongyu Xu, Jun Wang, and Jing Guo
Hydrol. Earth Syst. Sci., 28, 1873–1895, https://doi.org/10.5194/hess-28-1873-2024,https://doi.org/10.5194/hess-28-1873-2024, 2024
Short summary
Drought cascades across multiple systems in Central Asia identified based on the dynamic space–time motion approach
Lu Tian, Markus Disse, and Jingshui Huang
Hydrol. Earth Syst. Sci., 27, 4115–4133, https://doi.org/10.5194/hess-27-4115-2023,https://doi.org/10.5194/hess-27-4115-2023, 2023
Short summary
What is the Priestley–Taylor wet-surface evaporation parameter? Testing four hypotheses
Richard D. Crago, Jozsef Szilagyi, and Russell J. Qualls
Hydrol. Earth Syst. Sci., 27, 3205–3220, https://doi.org/10.5194/hess-27-3205-2023,https://doi.org/10.5194/hess-27-3205-2023, 2023
Short summary
Understanding the diurnal cycle of land–atmosphere interactions from flux site observations
Eunkyo Seo and Paul A. Dirmeyer
Hydrol. Earth Syst. Sci., 26, 5411–5429, https://doi.org/10.5194/hess-26-5411-2022,https://doi.org/10.5194/hess-26-5411-2022, 2022
Short summary

Cited articles

Amitai, E.: Systematic Variation of Observed Radar Reflectivity–Rainfall Rate Relations in the Tropics, J. Appl. Meteorol., 39, 2198–2208, https://doi.org/10.1175/1520-0450(2001)040<2198:SVOORR>2.0.CO;2, 2000. 
Anagnostou, E. N. and Krajewski, W. F.: Real-Time Radar Rainfall Estimation. Part I: Algorithm Formulation, J. Atmos. Ocean. Tech., 16, 189–197, https://doi.org/10.1175/1520-0426(1999)016<0189:RTRREP>2.0.CO;2, 1999. 
Anagnostou, E. N., Krajewski, W. F., Seo, D.-J., and Johnson, E. R.: Mean-Field Rainfall Bias Studies for WSR-88D, J. Hydrol. Eng., 3, 149–159, https://doi.org/10.1061/(ASCE)1084-0699(1998)3:3(149), 1998. 
Anhert, P., Krajewski, W. F., and Johnson, E. R.: Kalman Filter estimation of radar-rainfall mean field bias, in: 23rd Radar Meteorology Conf., Amer. Meteor. Soc., 33–37, https://www.jstor.org/stable/26225332 (last access: 2 February 2022), 1986. 
Arai, K., Liang, X., and Liu, Q.: Method for estimation of rain rate with Rayleigh and Mie scattering assumptions on the ZR relationship for different rainfall types, Adv. Space Res., 36, 813–817, https://doi.org/10.1016/j.asr.2005.04.102, 2005. 
Download
Short summary
The density of rain gauge networks plays an important role in radar rainfall bias correction. In this work, we aimed to assess the extent to which daily rainfall observations from a dense network of citizen scientists improve the accuracy of hourly radar rainfall estimates in the Tubma Basin, Thailand. Results show that citizen rain gauges significantly enhance the performance of radar rainfall bias adjustment up to a range of about 40 km from the center of the citizen rain gauge network.