Research

1. Ground surface rainfall estimation using radar measurements

  • Dai, Q. & Han, D., 2014, Exploration of discrepancy between radar and gauge rainfall surfaces driven by the downscaled wind field. Water Resources Research, 50: 8571-8588.
  • Dai, Q., Yang, Q., Han, D., Rico-Ramirez, M.A., & Zhang, S., 2019, Adjustment of radar‐gauge rainfall discrepancy due to raindrop drift and evaporation using the Weather Research and Forecasting model and dual-polarization radar. Water Resources Research, 55: 9211–9233.

2. Radar rainfall uncertainty model: MDEG (Multivariate Distributed Ensemble Generator)

  • Yang, Q., Dai, Q., Han, D., Zhu, Z., & Zhang, S., 2020, Uncertainty analysis of radar rainfall estimates induced by atmospheric conditions using long short-term memory networks. Journal of Hydrology, 590: 125482.
  • Dai, Q., Han, D., Rico-Ramirez, M. A. & Srivastava, P. K. 2014, Multivariate Distributed Ensemble Generator: A new scheme for ensemble radar precipitation estimation over temperate maritime climate. Journal of Hydrology, 511: 17-27.

3. Data mining of radar measurements for ground stations design

  • Zhuo, L., Dai, Q., Zhao, B., & Han, D., 2020, Soil Moisture Sensor Network Design for Hydrological Applications, Hydrology and Earth System Sciences, 24: 2577–2591.
  • Dai, Q., Bray, M., Zhuo, L., Islam, T., & Han, D. 2017, A scheme for raingauge network design based on remotely-sensed rainfall measurements. Journal of Hydrometeorology, 18: 363–379.

1. Hydrometeorological threshold for landslide prediction

  • Zhuo, L., Dai, Q., Han, D., Chen, N., & Zhao, B., 2019, Assessment of simulated soil moisture from WRF Noah, Noah-MP, and CLM Land surface schemes for landslide hazard application. Hydrology and Earth System Sciences, 23: 4199–4218.
  • Zhao, B., Dai, Q., Han, D., Dai, H., Mao, J & Zhuo, L., 2019, Probabilistic thresholds for landslides warning by integrating soil moisture conditions with rainfall thresholds. Journal of Hydrology, 574: 276-287.

2. Rainfall erosivity estimation considering raindrop microphysics

  • Dai, Q., Zhu, J., Zhang, S., Zhu, S., Han, D., & Lv, G., 2020, Estimation of rainfall erosivity based on WRF-derived raindrop size distributions. Hydrology and Earth System Sciences, 24, 5407–5422.
  • Yang, Q., Dai, Q., Han, D., Chen, Y., & Zhang, S., 2019, Sensitivity analysis of raindrop size distribution parameterizations in weather research and forecasting rainfall simulation, Atmospheric Research, 228:1-13.

3. Integrated framework for hazard-human coupled simulation: HazardCM

  • Dai, Q., Zhu, X., Zhuo, L., Han, D., Liu, Z., & Zhang, S., 2020. A hazard-human coupled model (HazardCM) to assess city dynamic exposure to rainfall-triggered natural hazards. Environmental Modelling & Software, 127: 104684.
  • Zhu, X., Dai, Q., Han, D., Zhuo, L., Zhu, S., & Zhang, S. 2019, Modeling the high-resolution dynamic exposure to flooding in a city region. Hydrology and Earth System Sciences, 23, 3353–3372.

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