![Lu Zhuo](https://profiles-cardiff.imgix.net/attachments/5428?w=200&h=200&auto=format&crop=faces&fit=crop&q=90")
Dr Lu Zhuo
(hi/ei)
- Ar gael fel goruchwyliwr ôl-raddedig
Timau a rolau for Lu Zhuo
Darlithydd mewn Synhwyro o Bell a Systemau Amgylcheddol
Trosolwyg
Mae Lu yn Ddarlithydd mewn Synhwyro o Bell a Systemau Amgylcheddol. Mae ei hymchwil yn archwilio'n bennaf efelychu ac asesu digwyddiadau hydrometeorolegol eithafol fel llifogydd, sychder, tywydd poeth a thirlithriadau, yn enwedig o ystyried eu cysylltiadau â newid yn yr hinsawdd a'u heffeithiau ar gymdeithas.
Mae arbenigedd Lu'n cwmpasu synhwyro o bell lloeren, modelu amgylcheddol (gan gynnwys darogan tywydd rhifiadol gyda WRF, modelau hydrolegol, a modelau arwyneb tir), a dysgu peirianyddol. Mae'r offer hyn yn ei helpu i ddadansoddi a deall digwyddiadau hydrometeorolegol a thywydd eithafol mewn lleoliadau trefol a throsfeydd.
Cyhoeddiad
2026
- Wen, Z. et al., 2026. Reducing grid artifacts in air temperature downscaling with a Volume-Preserving interpolation preprocessing step. International Journal of Applied Earth Observation and Geoinformation 153 105515. (10.1016/j.jag.2026.105515)
- Wang, M. et al., 2026. Modelling tributary reforestation effects on downstream main channel fluvial geomorphology. Geomorphology 496 110158. (10.1016/j.geomorph.2026.110158)
2025
- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
- 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
- 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)
- 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)
2023
- 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)
- 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)
- Wen, Z. et al., 2023. Data fusion for estimating high-resolution urban heatwave air temperature. Remote Sensing 15 (16) 3921. (10.3390/rs15163921)
- 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)
- 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)
- Wang, J. et al., 2023. Hydrological model adaptability to rainfall inputs of varied quality. Water Resources Research 59 (2) e2022WR032484. (10.1029/2022wr032484)
- 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)
2022
- 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)
- Zhao, B. et al., 2022. Accounting for satellite rainfall uncertainty in rainfall-triggered landslide forecasting. Geomorphology 398 108051. (10.1016/j.geomorph.2021.108051)
- 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. , 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)
2021
- 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)
- 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)
- 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)
- 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)
- 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)
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)
- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
2019
- 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)
- 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. 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)
- 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)
- 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. 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., 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.
- 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
- 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. 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)
- 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)
2016
- 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)
- 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)
- 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. 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. 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. Misrepresentation and amendment of soil moisture in conceptual hydrological modelling. Journal of Hydrology 535 , pp.637-651. (10.1016/j.jhydrol.2016.02.033)
- 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)
2015
- 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)
- 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)
- 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. An introduction to factor analysis for radio frequency interference detection on satellite observations. Meteorological Applications 22 (3), pp.436-443. (10.1002/met.1473)
- 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)
- 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)
- Dai, Q. et al., 2015. Radar rainfall uncertainty modelling influenced by wind. Hydrological Processes 29 (7), pp.1704-1716. (10.1002/hyp.10292)
- 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)
Adrannau llyfrau
- 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)
Cynadleddau
- 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. , 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)
- 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)
- 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)
- 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)
Erthyglau
- Wen, Z. et al., 2026. Reducing grid artifacts in air temperature downscaling with a Volume-Preserving interpolation preprocessing step. International Journal of Applied Earth Observation and Geoinformation 153 105515. (10.1016/j.jag.2026.105515)
- Wang, M. et al., 2026. Modelling tributary reforestation effects on downstream main channel fluvial geomorphology. Geomorphology 496 110158. (10.1016/j.geomorph.2026.110158)
- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
- 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., 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)
- 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)
- Wen, Z. et al., 2023. Data fusion for estimating high-resolution urban heatwave air temperature. Remote Sensing 15 (16) 3921. (10.3390/rs15163921)
- 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)
- 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)
- Wang, J. et al., 2023. Hydrological model adaptability to rainfall inputs of varied quality. Water Resources Research 59 (2) e2022WR032484. (10.1029/2022wr032484)
- 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)
- 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)
- Zhao, B. et al., 2022. Accounting for satellite rainfall uncertainty in rainfall-triggered landslide forecasting. Geomorphology 398 108051. (10.1016/j.geomorph.2021.108051)
- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
- 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. 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)
- 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. , 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. 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)
- 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. , 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)
- 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)
- 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. 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)
- 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., 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)
- 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)
- 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. An introduction to factor analysis for radio frequency interference detection on satellite observations. Meteorological Applications 22 (3), pp.436-443. (10.1002/met.1473)
- 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)
- 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)
- Dai, Q. et al., 2015. Radar rainfall uncertainty modelling influenced by wind. Hydrological Processes 29 (7), pp.1704-1716. (10.1002/hyp.10292)
- 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)
Gwefannau
- 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.
Ymchwil
Mae gwaith Lu yn cwmpasu:
- Synhwyro o bell o'r amgylchedd (mapio peryglon, glawiad, lleithder y pridd, tymheredd, defnydd tir)
- Modelu seiliedig ar brosesau ffisegol (modelu rhagfynegiad tywydd rhifiadol WRF, modelu hydrolegol, modelu arwyneb y tir)
- Geowybodeg (dysgu peiriannau, modelu gofodol, dadansoddiad ystadegol)
- Modelu seiliedig ar asiantau (paramedrau asiantau, ymddygiad asiant, cymorth penderfyniadau)
Prosiectau ymchwil cyfredol:
- "Tuag at Ddyfodol Cadarn II: Lliniaru a Gwytnwch Llifogydd sy'n Canolbwyntio ar y Gymuned ym Malawi", £29,496, 11/2025-03/2026
- "Asesu Effeithiau Rhyngweithio Gwynt-Glaw ar Ddiraddiad Sefydlogrwydd Llethrau Pont mewn Tir Mynyddig", Cyfnewidfa Ryngwladol y Gymdeithas Frenhinol 2023, £11,800, 03/2024-03/2026 (PI)
- "Tuag at Ddyfodol Cadarn: Asesu a Mynd i'r Afael â Risgiau a Achosir gan yr Hinsawdd ym Malawi", Cyngor Cyllido Addysg Uwch Cymru (CCAUC), £ 38,539, 06/2024-06/2025 (Co-I)
- "Platfform Map Cyhoeddus", AHRC, £4M, 09/2023-09/2025 (Co-I)
Addysgu
Fi yw'r arweinydd modiwl ar gyfer:
- EA2308 - Synhwyro o Bell a Dadansoddiad Gofodol
- EAT409 - Synhwyro Peryglon a Risgiau o Bell
Rwyf hefyd yn cyfrannu at addysgu mewn:
- EA1303 - GIS, mapiau, a sgiliau dadansoddol
- EA1305 - Sgiliau Maes Daearyddiaeth
- Goruchwylio traethawd hir UG a PGT
Bywgraffiad
- Darlithydd, Ysgol Gwyddorau'r Ddaear a'r Amgylchedd, Prifysgol Caerdydd (2022 – presennol)
- Darlithydd, Ysgol y Gwyddorau Daearyddol, Prifysgol Bryste (2021-2022)
- Darlithydd, Adran Peirianneg Sifil a Strwythurol, Prifysgol Sheffield (2019-2021)
- Cydymaith Ymchwil - Canolfan Ymchwil Dŵr a Rheolaeth Amgylcheddol, Prifysgol Bryste (2016-2019)
- PhD - Canolfan Ymchwil Dŵr a Rheolaeth Amgylcheddol, Prifysgol Bryste (2016)
- Gradd Meistr MEng Peirianneg Sifil – Prifysgol Bryste (2011)
Pwyllgorau ac adolygu
Golygydd cyfnodolion
- Geocarto International, mewn meysydd synhwyro o bell, geowyddoniaeth a gwyddorau amgylcheddol.
Golygyddion gwadd Journal
- Journal of Applied Remote Sensing - "Synhwyro o Bell Deallus ar gyfer Adnoddau Dŵr: Datblygiadau, Heriau a Safbwyntiau" (2024 i gyfredol)
- Prosesau Hydrolegol – "Llifogydd Pluvial: dealltwriaeth broses aeddfedu o brinder data i ddigonedd data" mater arbennig (2022 i gyfredol).
- Cyfnodolyn synhwyro o bell : "Geohazard Mapping for Community Resilience: Susceptibility, Impact, and Recovery" rhifyn arbennig (2022)
- Cyfnodolion Cynaliadwyedd a Dŵr – "Datblygu Cynaliadwy a Lleihau Risg Trychineb" ar y cyd (2021).
Meysydd goruchwyliaeth
Mae gennyf ddiddordeb mewn goruchwylio myfyrwyr PhD yn y meysydd canlynol:
Peryglon hydrometeorolegol fel llifogydd, tonnau gwres, sychder, a thirlithriadau, a ffactorau amgylcheddol cysylltiedig fel glawiad, tymheredd, lleithder pridd, ac anweddu. Mae pynciau penodol yn cynnwys, ond heb fod yn gyfyngedig i:
- Modelu a dadansoddi effeithiau hinsawdd ar ddigwyddiadau hydrometeorolegol eithafol.
- Monitro a mapio peryglon hydrometeorolegol gan ddefnyddio synhwyro o bell.
- Datblygu technegau ymasiad data amgylcheddol cydraniad uchel gyda dysgu peiriannau.
- Datblygu modelau sy'n seiliedig ar asiantau (ABM) i ddeall effeithiau peryglon a chefnogi strategaethau addasu.
Rwyf hefyd yn croesawu prosiectau PhD hunan-gynnig. Os oes gennych ddiddordeb mewn gweithio gyda mi ar gyfer eich PhD, gallwch gysylltu'n uniongyrchol â mi trwy [email protected]
Rwy'n derbyn myfyrwyr ar gyfer cais trwy Ysgoloriaethau PhD Cyngor Ysgoloriaeth Tsieina (CSC).
Goruchwyliaeth PhD:
- Goruchwyliwr Ruina Zhuo (Prifysgol Caerdydd) 2025-cyfredol:
- Goruchwyliwr Feichi Hu (Prifysgol Caerdydd) 2024-cyfredol: Defnyddio modelau synhwyro o bell a rhagfynegi tywydd rhifiadol ar gyfer mapio a monitro methan
- Cyd-oruchwyliwr ar gyfer Zitong Wen (Prifysgol Bryste) 2021-cyfredol: Astudiaethau gwres eithafol trefol trwy synhwyro o bell a modelu amgylcheddol
- Cyd-oruchwyliwr ar gyfer Sichan Du (Prifysgol Bryste) 2020-cyfredol: WRF-modelu trefol ar gyfer astudiaethau glaw trefol eithafol a digwyddiadau gwres.
Cyn-fyfyrwyr PhD:
- Cyd-oruchwyliwr ar gyfer Mincong Wang (Prifysgol Sheffield) 2020-2024: Modelu Cyfrifiadurol i Brofi'r Effeithiau Cronnol ar Gydbwysedd Deinamig Tirwedd Hirdymor y brif sianel ac Effeithiolrwydd Rheoli Llifogydd Mesurau Ail-naturoli Llednentydd: Astudiaeth achos o Ddalgylch Afon Don
- Cyd-oruchwyliwr ar gyfer Ying Liu (Prifysgol Bryste) 2019-2024: Efelychiad Glawiad Eithafol Uwch gan ddefnyddio Model Rhagfynegi Tywydd Rhifiadol
- Cyd-oruchwyliwr ar gyfer Jiao Wang (Prifysgol Bryste) 2019-2024: Ar Addasadwyedd Rhyngweithiol Model Hydrolegol a Data Mewnbwn
- Cyd-oruchwyliwr ar gyfer Yuexiao Liu (Prifysgol Bryste) 2018-2023: Ymchwilio i ddata ailddadansoddi ar gyfer tirlithriadau rhanbarthol a newid yn yr hinsawdd yn rhanbarth Emilia Romagna yn yr Eidal
Goruchwyliaeth gyfredol
Contact Details
Themâu ymchwil
Arbenigeddau
- Synhwyro o bell yr amgylchedd
- Peryglon hydrometeorolegol
- Modelu amgylcheddol