![Lu Zhuo](https://profiles-cardiff.imgix.net/attachments/5428?w=200&h=200&auto=format&crop=faces&fit=crop&q=90")
Dr Lu Zhuo
(she/her)
- Available for postgraduate supervision
Teams and roles for Lu Zhuo
Lecturer in Remote Sensing and Environmental Systems
Overview
Lu is a Lecturer in Remote Sensing and Environmental Systems. Her research primarily explores the simulation and assessment of extreme hydrometeorological events such as floods, droughts, heatwaves, and landslides, especially considering their links to climate change and impacts on society.
Lu's expertise encompasses satellite remote sensing, environmental modelling (including numerical weather prediction with WRF, hydrological models, and land surface models), and machine learning. These tools help her analyse and understand extreme hydrometeorological and weather events in both urban settings and watersheds.
Publication
2025
- Du, S. et al., 2025. Exploring suitable domain size for high-resolution urban rainfall simulation. Urban Climate 61 102489. (10.1016/j.uclim.2025.102489)
- Li, X. et al., 2025. Identifying risk transition pattern of compound flooding using the copula integrated Markov chain. Water Resources Management 39 , pp.7727-7748. (10.1007/s11269-025-04315-2)
- Wang, M. , Claghorn, J. and Zhuo, L. 2025. Assessing the efficacy of tributary upstream meander restoration on downstream landscape stability through computational modelling. Landscape and Urban Planning 254 105232. (10.1016/j.landurbplan.2024.105232)
- Wang, M. , Claghorn, J. and Zhuo, L. 2025. Investigating the impacts of tributary meander restoration on main channel flood mitigation through computational modelling. Journal of Environmental Management 375 124127. (10.1016/j.jenvman.2025.124127)
- Wen, Z. et al., 2025. How can we improve data integration to enhance urban air temperature estimations?. International Journal of Applied Earth Observation and Geoinformation 140 104599. (10.1016/j.jag.2025.104599)
- Zhong, M. et al., 2025. Exploring characteristics and drivers of flood hazard under different urban development patterns. Environmental and Sustainability Indicators 28 100955. (10.1016/j.indic.2025.100955)
- Zhong, M. et al., 2025. Cascading landslide–barrier dam–outburst flood hazard: A systematic study using rockfall analyst and HEC-RAS. Remote Sensing 17 (11), pp.1842. (10.3390/rs17111842)
- Zhu, J. et al., 2025. Radar remote sensing retrieval of vertical profile of rainfall kinetic energy in the U.K. IEEE Transactions on Geoscience and Remote Sensing 63 5102311. (10.1109/TGRS.2025.3542493)
2024
- Liu, Y. et al., 2024. Tiny rain makers: How aerosols shape extreme rainfall simulation accuracy. Journal of Hydrology 641 131806. (10.1016/j.jhydrol.2024.131806)
- Zhu, J. et al., 2024. Raindrop size distribution (DSD) retrieval from polarimetric radar observations using neural networks. Atmospheric Research 310 107638. (10.1016/j.atmosres.2024.107638)
2023
- Huang, J. et al., 2023. Urban flood inundation probability assessment based on an improved Bayesian model. Natural Hazards Review 24 (4) 04023046. (10.1061/NHREFO.NHENG-1726)
- Liu, Y. , Zhuo, L. and Han, D. 2023. Developing spin-up time framework for WRF extreme precipitation simulations.. Journal of Hydrology 620 , pp.1-15. 129443. (10.1016/j.jhydrol.2023.129443)
- Maurya, S. et al., 2023. Future climate change impact on the streamflow of Mahi river basin under different general circulation model scenarios.. Water Resources Management , pp.1-22. (10.1007/s11269-022-03372-1)
- Wang, J. et al., 2023. Hydrological model adaptability to rainfall inputs of varied quality. Water Resources Research 59 (2) e2022WR032484. (10.1029/2022wr032484)
- Wang, J. et al., 2023. Interacting effects of precipitation and potential evapotranspiration biases on hydrological modeling. Water Resources Research 59 (3) e2022WR033323. (10.1029/2022wr033323)
- Wen, Z. et al., 2023. Data fusion for estimating high-resolution urban heatwave air temperature. Remote Sensing 15 (16) 3921. (10.3390/rs15163921)
- Zhu, J. et al., 2023. Microphysics-based rainfall energy estimation using remote sensing and reanalysis data. Journal of Hydrology 627 (Part A) 130314. (10.1016/j.jhydrol.2023.130314)
2022
- Du, S. et al., 2022. WRF simulations on the impacts and responses of extreme weather events: From the perspectives of climate change and urbanisation over UK cities. Presented at: EGU22 Vienna, Austria 23-27 May 2022. EGU General Assembly 2022. (10.5194/egusphere-egu22-5144)
- Liu, Y. , Zhuo, L. and Han, D. 2022. Investigating the influence of aerosol effects on extreme rainfall simulations over the UK using WRF and WRF-chem model. Presented at: EGU22 Vienna, Austria 23-27 May 2022. EGU General Assembly 2022. (10.5194/egusphere-egu22-5393)
- Liu, Y. et al., 2022. An assessment of statistical interpolation methods suited for gridded rainfall datasets. International Journal of Climatology 42 (5), pp.2754-2772. (10.1002/joc.7389)
- Wang, J. , Zhuo, L. and Han, D. 2022. Hydrological model adaptivity to inputs of varied quality. Presented at: EGU General Assembly 2022 Vienna, Austria and Online 23–27 May 2022. EGU General Assembly 2022. Copernicus. (10.5194/egusphere-egu22-5509)
- Wang, Q. et al., 2022. Flood inundation mapping using Sentinel-1 SAR images with Google Earth Engine cloud platform. Presented at: EGU22 Vienna, Austria 23-27 May 2022. EGU General Assembly 2022. (10.5194/egusphere-egu22-5877)
- Zhao, B. et al., 2022. Accounting for satellite rainfall uncertainty in rainfall-triggered landslide forecasting. Geomorphology 398 108051. (10.1016/j.geomorph.2021.108051)
2021
- Liu, Y. et al., 2021. To develop a progressive multimetric configuration optimisation method for WRF simulations of extreme rainfall events over Egypt. Journal of Hydrology 598 126237. (10.1016/j.jhydrol.2021.126237)
- Liu, Z. et al., 2021. Data mining of remotely-sensed rainfall for a large-scale rain gauge network design. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14 , pp.12300-12311. (10.1109/JSTARS.2021.3131157)
- Maurya, S. et al., 2021. Soil erosion in future scenario using CMIP5 models and earth observation datasets. Journal of Hydrology 594 125851. (10.1016/j.jhydrol.2020.125851)
- Zhao, B. et al., 2021. Assessing the potential of different satellite soil moisture products in landslide hazard assessment. Remote Sensing of Environment 264 112583. (10.1016/j.rse.2021.112583)
- Zhu, J. et al., 2021. Comparison of rainfall microphysics characteristics derived by numerical weather prediction modelling and dual‐frequency precipitation radar. Meteorological Applications 28 (3) e2000. (10.1002/met.2000)
2020
- Chen, Y. , Zhuo, L. and Han, D. 2020. Review of city models and the applications on flood risk management. Presented at: EGU General Assembly 2020 Onine 4-8 May 2020. EGU General Assembly 2020. Copernicus. , pp.EGU2020-11947. (10.5194/egusphere-egu2020-11947)
- Dai, Q. et al., 2020. A hazard-human coupled model (HazardCM) to assess city dynamic exposure to rainfall-triggered natural hazards. Environmental Modelling and Software 127 104684. (10.1016/j.envsoft.2020.104684)
- Wang, J. et al., 2020. Flood inundation mapping with multi-satellite soil moisture observations. Presented at: EGU General Assembly 2020 Online 4–8 May 2020. EGU General Assembly 2020. Copernicus. , pp.EGU2020-9225. (10.5194/egusphere-egu2020-9225)
- Zhao, B. et al., 2020. Application of hydrological model simulations in landslide predictions. Landslides 17 (4), pp.877–891. (10.1007/s10346-019-01296-3)
- Zhu, X. et al., 2020. Effects of earthquakes and antecedent droughts on landslide initiation in Italy. Presented at: EGU General Assembly 2020 Online 4–8 May 2020. EGU2020-9274. Copernicus. (10.5194/egusphere-egu2020-9274)
- Zhuo, L. , Dai, Q. and Han, D. 2020. Soil moisture network design using advanced numerical weather prediction modelling and data mining technology for hydrological applications. Presented at: EGU General Assembly 2020 Online 4-8 May 2020. EGU General Assembly 2020. Copernicus. , pp.EGU2020-7756. (10.5194/egusphere-egu2020-7756)
- Zhuo, L. et al. 2020. Soil moisture sensor network design for hydrological applications. Hydrology and Earth System Sciences 24 (5), pp.2577-2591. (10.5194/hess-24-2577-2020)
- Zhuo, L. and Han, D. 2020. Agent-based modelling and flood risk management: A compendious literature review. Journal of Hydrology 591 125600. (10.1016/j.jhydrol.2020.125600)
2019
- Liu, Z. , Dai, Q. and Zhuo, L. 2019. Relationship between rainfall variability and the predictability of radar rainfall nowcasting models. Atmosphere 10 (8) 458. (10.3390/atmos10080458)
- Zhao, B. et al., 2019. Antecedent wetness and rainfall information in landslide threshold definition. [Online].Hydrology and Earth System Sciences: European Geosciences Union. (10.5194/hess-2019-150)Available at: https://doi.org/10.5194/hess-2019-150.
- Zhao, B. et al., 2019. Estimation of soil moisture using modified antecedent precipitation index with application in landslide predictions. Landslides 16 (12), pp.2381-2393. (10.1007/s10346-019-01255-y)
- Zhao, B. et al., 2019. Probabilistic thresholds for landslides warning by integrating soil moisture conditions with rainfall thresholds. Journal of Hydrology 574 , pp.276-287. (10.1016/j.jhydrol.2019.04.062)
- Zhu, X. et al., 2019. Modeling the high-resolution dynamic exposure to flooding in a city region. Hydrology and Earth System Sciences 23 (8), pp.3353-3372. (10.5194/hess-23-3353-2019)
- Zhu, X. et al., 2019. Modelling the high-resolution dynamic exposure to flood in city-region. Hydrology and Earth System Sciences 23 , pp.3353–3372. (10.5194/hess-2018-590)
- Zhuo, L. 2019. Satellite remote sensing of soil moisture for hydrological applications: A review ofiIssues to be solved. In: Scozzari, A. et al., ICT for Smart Water Systems: Measurements and Data Science. The Handbook of Environmental Chemistry Springer. , pp.259-281. (10.1007/698_2019_394)
- Zhuo, L. et al. 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 (10), pp.4199-4218. (10.5194/hess-23-4199-2019)
- Zhuo, L. et al. 2019. Evaluation of remotely sensed soil moisture for landslide hazard assessment. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 12 (1), pp.162-173. (10.1109/JSTARS.2018.2883361)
2017
- Dai, Q. et al., 2017. A scheme for rain gauge network design based on remotely sensed rainfall measurements. Journal of Hydrometeorology 18 (2), pp.363-379. (10.1175/JHM-D-16-0136.1)
- Zhuo, L. and Han, D. 2017. Hydrological evaluation of satellite soil moisture data in two basins of different climate and vegetation density conditions. Advances in Meteorology 2017 , pp.1-15. 1086456. (10.1155/2017/1086456)
- Zhuo, L. and Han, D. 2017. Multi-source hydrological soil moisture state estimation using data fusion optimisation. Hydrology and Earth System Sciences 21 (7), pp.3267–3285. (10.5194/hess-21-3267-2017)
- Zhuo, L. , Han, D. and Dai, Q. 2017. Exploration of empirical relationship between surface soil temperature and surface soil moisture over two catchments of contrasting climates and land covers. Arabian Journal of Geosciences 10 (18) 410. (10.1007/s12517-017-3183-x)
2016
- Dai, Q. et al., 2016. Seasonal ensemble generator for radar rainfall using copula and autoregressive model. Stochastic Environmental Research and Risk Assessment 30 (1), pp.27-38. (10.1007/s00477-014-1017-x)
- Islam, T. et al., 2016. Satellite radiance assimilation using a 3DVAR assimilation system for hurricane Sandy forecasts. Natural Hazards 82 (2), pp.845-855. (10.1007/s11069-016-2221-4)
- Zhuo, L. et al. 2016. Error distribution modelling of satellite soil moisture measurements for hydrological applications. Hydrological Processes 30 (13), pp.2223-2236. (10.1002/hyp.10789)
- Zhuo, L. et al. 2016. A comparative study on SMOS and NLDAS-2 soil moistures over a hydrological basin-with continental climate. In: Srivastava, P. K. , Petropoulos, G. P. and Kerr, Y. H. eds. Satellite Soil Moisture Retrieval: Techniques and Applications. Elsevier. , pp.289-308. (10.1016/B978-0-12-803388-3.00015-2)
- Zhuo, L. and Han, D. 2016. Could operational hydrological models be made compatible with satellite soil moisture observations?. Journal of Hydrology 30 (10), pp.1637-1648. (10.1002/hyp.10804)
- Zhuo, L. and Han, D. 2016. Misrepresentation and amendment of soil moisture in conceptual hydrological modelling. Journal of Hydrology 535 , pp.637-651. (10.1016/j.jhydrol.2016.02.033)
- Zhuo, L. and Han, D. 2016. The relevance of soil moisture by remote sensing and hydrological modelling. Procedia Engineering 154 , pp.1368-1375. (10.1016/j.proeng.2016.07.499)
- Zhuo, L. , Han, D. and Dai, Q. 2016. Soil moisture deficit estimation using satellite multi-angle brightness temperature. Journal of Hydrology 539 , pp.392-405. (10.1016/j.jhydrol.2016.05.052)
2015
- Dai, Q. et al., 2015. Radar rainfall uncertainty modelling influenced by wind. Hydrological Processes 29 (7), pp.1704-1716. (10.1002/hyp.10292)
- Dai, Q. et al., 2015. Adjustment of wind-drift effect for real-time systematic error correction in radar rainfall data. Physics and Chemistry of the Earth, Parts A/B/C 83-84 , pp.178-186. (10.1016/j.pce.2015.07.006)
- Dai, Q. et al., 2015. Impact of complexity of radar rainfall uncertainty model on flow simulation. Atmospheric Research 161-16 , pp.93-101. (10.1016/j.atmosres.2015.04.002)
- Islam, T. et al., 2015. CLOUDET: A cloud detection and estimation algorithm for passive microwave imagers and sounders aided by naïve Bayes classifier and multilayer perceptron. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 8 (9), pp.4296-4301. (10.1109/JSTARS.2014.2321559)
- Islam, T. et al., 2015. An introduction to factor analysis for radio frequency interference detection on satellite observations. Meteorological Applications 22 (3), pp.436-443. (10.1002/met.1473)
- Islam, T. et al., 2015. Rain rate retrieval algorithm for conical-scanning microwave imagers aided by random forest, RReliefF, and multivariate adaptive regression splines (RAMARS). IEEE Sensors Journal 15 (4), pp.2186-2193. (10.1109/JSEN.2014.2372814)
- Zhuo, L. , Dai, Q. and Han, D. 2015. Evaluation of SMOS soil moisture retrievals over the central United States for hydro-meteorological application. Physics and Chemistry of the Earth, Parts A/B/C 83-84 , pp.146-155. (10.1016/j.pce.2015.06.002)
- Zhuo, L. , Dai, Q. and Han, D. 2015. Meta-analysis of flow modeling performances-to build a matching system between catchment complexity and model types. Hydrological Processes 29 (11), pp.2463-2477. (10.1002/hyp.10371)
- Zhuo, L. et al. 2015. Appraisal of NLDAS-2 multi-model simulated soil moistures for hydrological modelling. Water Resources Management 29 (10), pp.3503-3517. (10.1007/s11269-015-1011-1)
- Zhu, J. et al., null. DREE-RF: A radar-based rainfall energy estimation model using random forest. IEEE Transactions on Geoscience and Remote Sensing 62 4112512. (10.1109/TGRS.2024.3487221)
Articles
- Dai, Q. et al., 2017. A scheme for rain gauge network design based on remotely sensed rainfall measurements. Journal of Hydrometeorology 18 (2), pp.363-379. (10.1175/JHM-D-16-0136.1)
- Dai, Q. et al., 2015. Radar rainfall uncertainty modelling influenced by wind. Hydrological Processes 29 (7), pp.1704-1716. (10.1002/hyp.10292)
- Dai, Q. et al., 2015. Adjustment of wind-drift effect for real-time systematic error correction in radar rainfall data. Physics and Chemistry of the Earth, Parts A/B/C 83-84 , pp.178-186. (10.1016/j.pce.2015.07.006)
- Dai, Q. et al., 2015. Impact of complexity of radar rainfall uncertainty model on flow simulation. Atmospheric Research 161-16 , pp.93-101. (10.1016/j.atmosres.2015.04.002)
- Dai, Q. et al., 2016. Seasonal ensemble generator for radar rainfall using copula and autoregressive model. Stochastic Environmental Research and Risk Assessment 30 (1), pp.27-38. (10.1007/s00477-014-1017-x)
- Dai, Q. et al., 2020. A hazard-human coupled model (HazardCM) to assess city dynamic exposure to rainfall-triggered natural hazards. Environmental Modelling and Software 127 104684. (10.1016/j.envsoft.2020.104684)
- Du, S. et al., 2025. Exploring suitable domain size for high-resolution urban rainfall simulation. Urban Climate 61 102489. (10.1016/j.uclim.2025.102489)
- Huang, J. et al., 2023. Urban flood inundation probability assessment based on an improved Bayesian model. Natural Hazards Review 24 (4) 04023046. (10.1061/NHREFO.NHENG-1726)
- Islam, T. et al., 2015. CLOUDET: A cloud detection and estimation algorithm for passive microwave imagers and sounders aided by naïve Bayes classifier and multilayer perceptron. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 8 (9), pp.4296-4301. (10.1109/JSTARS.2014.2321559)
- Islam, T. et al., 2015. An introduction to factor analysis for radio frequency interference detection on satellite observations. Meteorological Applications 22 (3), pp.436-443. (10.1002/met.1473)
- Islam, T. et al., 2015. Rain rate retrieval algorithm for conical-scanning microwave imagers aided by random forest, RReliefF, and multivariate adaptive regression splines (RAMARS). IEEE Sensors Journal 15 (4), pp.2186-2193. (10.1109/JSEN.2014.2372814)
- Islam, T. et al., 2016. Satellite radiance assimilation using a 3DVAR assimilation system for hurricane Sandy forecasts. Natural Hazards 82 (2), pp.845-855. (10.1007/s11069-016-2221-4)
- Li, X. et al., 2025. Identifying risk transition pattern of compound flooding using the copula integrated Markov chain. Water Resources Management 39 , pp.7727-7748. (10.1007/s11269-025-04315-2)
- Liu, Y. et al., 2021. To develop a progressive multimetric configuration optimisation method for WRF simulations of extreme rainfall events over Egypt. Journal of Hydrology 598 126237. (10.1016/j.jhydrol.2021.126237)
- Liu, Y. et al., 2024. Tiny rain makers: How aerosols shape extreme rainfall simulation accuracy. Journal of Hydrology 641 131806. (10.1016/j.jhydrol.2024.131806)
- Liu, Y. , Zhuo, L. and Han, D. 2023. Developing spin-up time framework for WRF extreme precipitation simulations.. Journal of Hydrology 620 , pp.1-15. 129443. (10.1016/j.jhydrol.2023.129443)
- Liu, Y. et al., 2022. An assessment of statistical interpolation methods suited for gridded rainfall datasets. International Journal of Climatology 42 (5), pp.2754-2772. (10.1002/joc.7389)
- Liu, Z. , Dai, Q. and Zhuo, L. 2019. Relationship between rainfall variability and the predictability of radar rainfall nowcasting models. Atmosphere 10 (8) 458. (10.3390/atmos10080458)
- Liu, Z. et al., 2021. Data mining of remotely-sensed rainfall for a large-scale rain gauge network design. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14 , pp.12300-12311. (10.1109/JSTARS.2021.3131157)
- Maurya, S. et al., 2021. Soil erosion in future scenario using CMIP5 models and earth observation datasets. Journal of Hydrology 594 125851. (10.1016/j.jhydrol.2020.125851)
- Maurya, S. et al., 2023. Future climate change impact on the streamflow of Mahi river basin under different general circulation model scenarios.. Water Resources Management , pp.1-22. (10.1007/s11269-022-03372-1)
- Wang, J. et al., 2023. Hydrological model adaptability to rainfall inputs of varied quality. Water Resources Research 59 (2) e2022WR032484. (10.1029/2022wr032484)
- Wang, J. et al., 2023. Interacting effects of precipitation and potential evapotranspiration biases on hydrological modeling. Water Resources Research 59 (3) e2022WR033323. (10.1029/2022wr033323)
- Wang, M. , Claghorn, J. and Zhuo, L. 2025. Assessing the efficacy of tributary upstream meander restoration on downstream landscape stability through computational modelling. Landscape and Urban Planning 254 105232. (10.1016/j.landurbplan.2024.105232)
- Wang, M. , Claghorn, J. and Zhuo, L. 2025. Investigating the impacts of tributary meander restoration on main channel flood mitigation through computational modelling. Journal of Environmental Management 375 124127. (10.1016/j.jenvman.2025.124127)
- Wen, Z. et al., 2025. How can we improve data integration to enhance urban air temperature estimations?. International Journal of Applied Earth Observation and Geoinformation 140 104599. (10.1016/j.jag.2025.104599)
- Wen, Z. et al., 2023. Data fusion for estimating high-resolution urban heatwave air temperature. Remote Sensing 15 (16) 3921. (10.3390/rs15163921)
- Zhao, B. et al., 2020. Application of hydrological model simulations in landslide predictions. Landslides 17 (4), pp.877–891. (10.1007/s10346-019-01296-3)
- Zhao, B. et al., 2019. Estimation of soil moisture using modified antecedent precipitation index with application in landslide predictions. Landslides 16 (12), pp.2381-2393. (10.1007/s10346-019-01255-y)
- Zhao, B. et al., 2019. Probabilistic thresholds for landslides warning by integrating soil moisture conditions with rainfall thresholds. Journal of Hydrology 574 , pp.276-287. (10.1016/j.jhydrol.2019.04.062)
- Zhao, B. et al., 2022. Accounting for satellite rainfall uncertainty in rainfall-triggered landslide forecasting. Geomorphology 398 108051. (10.1016/j.geomorph.2021.108051)
- Zhao, B. et al., 2021. Assessing the potential of different satellite soil moisture products in landslide hazard assessment. Remote Sensing of Environment 264 112583. (10.1016/j.rse.2021.112583)
- Zhong, M. et al., 2025. Exploring characteristics and drivers of flood hazard under different urban development patterns. Environmental and Sustainability Indicators 28 100955. (10.1016/j.indic.2025.100955)
- Zhong, M. et al., 2025. Cascading landslide–barrier dam–outburst flood hazard: A systematic study using rockfall analyst and HEC-RAS. Remote Sensing 17 (11), pp.1842. (10.3390/rs17111842)
- Zhu, J. et al., null. DREE-RF: A radar-based rainfall energy estimation model using random forest. IEEE Transactions on Geoscience and Remote Sensing 62 4112512. (10.1109/TGRS.2024.3487221)
- Zhu, J. et al., 2023. Microphysics-based rainfall energy estimation using remote sensing and reanalysis data. Journal of Hydrology 627 (Part A) 130314. (10.1016/j.jhydrol.2023.130314)
- Zhu, J. et al., 2025. Radar remote sensing retrieval of vertical profile of rainfall kinetic energy in the U.K. IEEE Transactions on Geoscience and Remote Sensing 63 5102311. (10.1109/TGRS.2025.3542493)
- Zhu, J. et al., 2024. Raindrop size distribution (DSD) retrieval from polarimetric radar observations using neural networks. Atmospheric Research 310 107638. (10.1016/j.atmosres.2024.107638)
- Zhu, J. et al., 2021. Comparison of rainfall microphysics characteristics derived by numerical weather prediction modelling and dual‐frequency precipitation radar. Meteorological Applications 28 (3) e2000. (10.1002/met.2000)
- Zhu, X. et al., 2019. Modeling the high-resolution dynamic exposure to flooding in a city region. Hydrology and Earth System Sciences 23 (8), pp.3353-3372. (10.5194/hess-23-3353-2019)
- Zhu, X. et al., 2019. Modelling the high-resolution dynamic exposure to flood in city-region. Hydrology and Earth System Sciences 23 , pp.3353–3372. (10.5194/hess-2018-590)
- Zhuo, L. et al. 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 (10), pp.4199-4218. (10.5194/hess-23-4199-2019)
- Zhuo, L. et al. 2019. Evaluation of remotely sensed soil moisture for landslide hazard assessment. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 12 (1), pp.162-173. (10.1109/JSTARS.2018.2883361)
- Zhuo, L. , Dai, Q. and Han, D. 2015. Evaluation of SMOS soil moisture retrievals over the central United States for hydro-meteorological application. Physics and Chemistry of the Earth, Parts A/B/C 83-84 , pp.146-155. (10.1016/j.pce.2015.06.002)
- Zhuo, L. , Dai, Q. and Han, D. 2015. Meta-analysis of flow modeling performances-to build a matching system between catchment complexity and model types. Hydrological Processes 29 (11), pp.2463-2477. (10.1002/hyp.10371)
- Zhuo, L. et al. 2016. Error distribution modelling of satellite soil moisture measurements for hydrological applications. Hydrological Processes 30 (13), pp.2223-2236. (10.1002/hyp.10789)
- Zhuo, L. et al. 2020. Soil moisture sensor network design for hydrological applications. Hydrology and Earth System Sciences 24 (5), pp.2577-2591. (10.5194/hess-24-2577-2020)
- Zhuo, L. and Han, D. 2020. Agent-based modelling and flood risk management: A compendious literature review. Journal of Hydrology 591 125600. (10.1016/j.jhydrol.2020.125600)
- Zhuo, L. and Han, D. 2016. Could operational hydrological models be made compatible with satellite soil moisture observations?. Journal of Hydrology 30 (10), pp.1637-1648. (10.1002/hyp.10804)
- Zhuo, L. and Han, D. 2017. Hydrological evaluation of satellite soil moisture data in two basins of different climate and vegetation density conditions. Advances in Meteorology 2017 , pp.1-15. 1086456. (10.1155/2017/1086456)
- Zhuo, L. and Han, D. 2016. Misrepresentation and amendment of soil moisture in conceptual hydrological modelling. Journal of Hydrology 535 , pp.637-651. (10.1016/j.jhydrol.2016.02.033)
- Zhuo, L. and Han, D. 2017. Multi-source hydrological soil moisture state estimation using data fusion optimisation. Hydrology and Earth System Sciences 21 (7), pp.3267–3285. (10.5194/hess-21-3267-2017)
- Zhuo, L. and Han, D. 2016. The relevance of soil moisture by remote sensing and hydrological modelling. Procedia Engineering 154 , pp.1368-1375. (10.1016/j.proeng.2016.07.499)
- Zhuo, L. et al. 2015. Appraisal of NLDAS-2 multi-model simulated soil moistures for hydrological modelling. Water Resources Management 29 (10), pp.3503-3517. (10.1007/s11269-015-1011-1)
- Zhuo, L. , Han, D. and Dai, Q. 2017. Exploration of empirical relationship between surface soil temperature and surface soil moisture over two catchments of contrasting climates and land covers. Arabian Journal of Geosciences 10 (18) 410. (10.1007/s12517-017-3183-x)
- Zhuo, L. , Han, D. and Dai, Q. 2016. Soil moisture deficit estimation using satellite multi-angle brightness temperature. Journal of Hydrology 539 , pp.392-405. (10.1016/j.jhydrol.2016.05.052)
Book sections
- Zhuo, L. 2019. Satellite remote sensing of soil moisture for hydrological applications: A review ofiIssues to be solved. In: Scozzari, A. et al., ICT for Smart Water Systems: Measurements and Data Science. The Handbook of Environmental Chemistry Springer. , pp.259-281. (10.1007/698_2019_394)
- Zhuo, L. et al. 2016. A comparative study on SMOS and NLDAS-2 soil moistures over a hydrological basin-with continental climate. In: Srivastava, P. K. , Petropoulos, G. P. and Kerr, Y. H. eds. Satellite Soil Moisture Retrieval: Techniques and Applications. Elsevier. , pp.289-308. (10.1016/B978-0-12-803388-3.00015-2)
Conferences
- Chen, Y. , Zhuo, L. and Han, D. 2020. Review of city models and the applications on flood risk management. Presented at: EGU General Assembly 2020 Onine 4-8 May 2020. EGU General Assembly 2020. Copernicus. , pp.EGU2020-11947. (10.5194/egusphere-egu2020-11947)
- Du, S. et al., 2022. WRF simulations on the impacts and responses of extreme weather events: From the perspectives of climate change and urbanisation over UK cities. Presented at: EGU22 Vienna, Austria 23-27 May 2022. EGU General Assembly 2022. (10.5194/egusphere-egu22-5144)
- Liu, Y. , Zhuo, L. and Han, D. 2022. Investigating the influence of aerosol effects on extreme rainfall simulations over the UK using WRF and WRF-chem model. Presented at: EGU22 Vienna, Austria 23-27 May 2022. EGU General Assembly 2022. (10.5194/egusphere-egu22-5393)
- Wang, J. et al., 2020. Flood inundation mapping with multi-satellite soil moisture observations. Presented at: EGU General Assembly 2020 Online 4–8 May 2020. EGU General Assembly 2020. Copernicus. , pp.EGU2020-9225. (10.5194/egusphere-egu2020-9225)
- Wang, J. , Zhuo, L. and Han, D. 2022. Hydrological model adaptivity to inputs of varied quality. Presented at: EGU General Assembly 2022 Vienna, Austria and Online 23–27 May 2022. EGU General Assembly 2022. Copernicus. (10.5194/egusphere-egu22-5509)
- Wang, Q. et al., 2022. Flood inundation mapping using Sentinel-1 SAR images with Google Earth Engine cloud platform. Presented at: EGU22 Vienna, Austria 23-27 May 2022. EGU General Assembly 2022. (10.5194/egusphere-egu22-5877)
- Zhu, X. et al., 2020. Effects of earthquakes and antecedent droughts on landslide initiation in Italy. Presented at: EGU General Assembly 2020 Online 4–8 May 2020. EGU2020-9274. Copernicus. (10.5194/egusphere-egu2020-9274)
- Zhuo, L. , Dai, Q. and Han, D. 2020. Soil moisture network design using advanced numerical weather prediction modelling and data mining technology for hydrological applications. Presented at: EGU General Assembly 2020 Online 4-8 May 2020. EGU General Assembly 2020. Copernicus. , pp.EGU2020-7756. (10.5194/egusphere-egu2020-7756)
Websites
- Zhao, B. et al., 2019. Antecedent wetness and rainfall information in landslide threshold definition. [Online].Hydrology and Earth System Sciences: European Geosciences Union. (10.5194/hess-2019-150)Available at: https://doi.org/10.5194/hess-2019-150.
Research
Lu’s work covers:
- Remote sensing of environment (hazards mapping, rainfall, soil moisture, temperature, land use)
- Physical process-based modelling (numerical weather prediction modelling WRF, hydrological modelling, land surface modelling)
- Geoinformatics (machine learning, spatial modelling, statistical analysis)
- Agent-based modelling (agent parameterisation, agent behaviour, decision support)
Current research projects:
- "Towards a Robust Future II: Community-Centred Flood Mitigation and Resilience in Malawi", £29,496, 11/2025-03/2026
- "Assessing Wind-Rainfall Interacting Effects on Bridge Slope Stability Degradation in Mountainous Terrain", Royal Society International Exchange 2023, £11,800, 03/2024-03/2026 (PI)
- "Towards a Robust Future: Assessing and Addressing Climate-Induced Risks in Malawi", Higher Education Funding Council for Wales (HEFCW), £ 38,539, 06/2024-06/2025 (Co-I)
- "Public Map Platform", AHRC, £4M, 09/2023-09/2025 (Co-I)
Teaching
I am the module lead for:
- EA2308 - Remote Sensing and Spatial Analysis
- EAT409 - Remote Sensing of Hazards and Risks
I also contribute to teaching in:
- EA1303 - GIS, Maps, and Analytical Skills
- EA1305 - Geography Field Skills
- UG and PGT dissertation supervision
Biography
- Lecturer, School of Earth and Environmental Sciences, Cardiff University (2022 – present)
- Lecturer, School of Geographical Sciences, University of Bristol (2021-2022)
- Lecturer, Department of Civil and Structural Engineering, University of Sheffield (2019-2021)
- Research Associate - Water and Environmental Management Research Centre, University of Bristol (2016-2019)
- PhD - Water and Environmental Management Research Centre, University of Bristol (2016)
- MEng Master Degree of Civil Engineering – University of Bristol (2011)
Committees and reviewing
Journal editor
- Geocarto International, in areas of Remote sensing, geoscience and environmental sciences.
Journal guest editors
- Journal of Applied Remote Sensing - "Intelligent Remote Sensing for Water Resources: Advances, Challenges and Perspectives" (2024 to current)
- Hydrological Processes – “Pluvial Flooding: maturing process understanding from data scarcity into data abundance” special issue (2022 to current).
- Remote Sensing journal: "Geohazard Mapping for Community Resilience: Susceptibility, Impact, and Recovery" special issue (2022)
- Sustainability and Water journals – “Sustainable Development and Disaster Risk Reduction” joint special issue (2021).
Supervisions
I am interested in supervising PhD students in the areas of:
Hydrometeorological hazards such as floods, heatwaves, droughts, and landslides, and related environmental factors like rainfall, temperature, soil moisture, and evapotranspiration. Specific topics include but are not limited to:
- Modelling and analysing climate impacts on extreme hydrometeorological events.
- Monitoring and mapping hydrometeorological hazards using remote sensing.
- Developing high-resolution environmental data fusion techniques with machine learning.
- Developing agent-based models (ABM) to understand hazard impacts and support adaptation strategies.
I also welcome self-proposed PhD projects. If you are interested in working with me for your PhD, you can directly connect with me via [email protected]
I am accepting students for application via the China Scholarship Council (CSC) PhD Scholarships.
PhD supervision:
- Supervisor for Ruina Zhuo(Cardiff University) 2025-current:
- Supervisor for Feichi Hu (Cardiff University) 2024-current: Using remote sensing and numerical weather prediction models for methane mapping and monitoring
- Co-Supervisor for Zitong Wen (University of Bristol) 2021-current: Urban extreme heat studies through remote sensing and environmental modelling
- Co-Supervisor for Sichan Du (University of Bristol) 2020-current: WRF-urban modelling for extreme urban rainfall and heat events studies.
Past PhD students:
- Co-Supervisor for Mincong Wang (University of Sheffield) 2020-2024: Computational Modeling to Test the Cumulative Effects on main channel’s Long-term Landscape Dynamic Equilibrium and Flood Control Efficacy of Tributaries’ Re-naturalization Measures: A case study of the River Don Catchment
- Co-Supervisor for Ying Liu (University of Bristol) 2019-2024: Advanced Extreme Rainfall Simulation Using a Numerical Weather Prediction Model
- Co-Supervisor for Jiao Wang (University of Bristol) 2019-2024: On Interactive Adaptability of Hydrological Model and Input Data
- Co-Supervisor for Yuexiao Liu (University of Bristol) 2018-2023: Investigation of Reanalysis Data for Regional Landslides and Climate Change in the Emilia Romagna Region of Italy
Current supervision
Contact Details
Research themes
Specialisms
- Remote sensing of environment
- Hydrometeorological hazards
- Environmental modelling