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Lu Li

Guest Researcher
Bjerknes Centre for Climate Research
  • E-maillu.li@uib.no
  • Visitor Address
    Allégaten 70
    5007 Bergen
  • Postal Address
    Postboks 7803
    5020 Bergen
Academic article
  • Show author(s) (2024). The influence of Antarctic sea-ice loss on Northern Hemisphere cold surges and associated compound events. International Journal of Climatology.
  • Show author(s) (2023). Regional water cycle sensitivity to afforestation: synthetic numerical experiments for tropical Africa. Frontiers in Climate. 18 pages.
  • Show author(s) (2023). Flood variability in the upper Yangtze River over the last millennium—Insights from a comparison of climate-hydrological model simulated and reconstruction. Science China. Earth Sciences. 547-567.
  • Show author(s) (2022). Towards ensemble-based kilometer-scale climate simulations over the third pole region. Climate Dynamics. 27 pages.
  • Show author(s) (2022). Probabilistic interval estimation of design floods under non-stationary conditions by an integrated approach. Hydrology Research. 259-278.
  • Show author(s) (2022). Impacts of snow assimilation on seasonal snow and meteorological forecasts for the Tibetan Plateau. The Cryosphere. 4985-5000.
  • Show author(s) (2022). Detection and Attribution of Norwegian Annual Precipitation Variability Related to Teleconnections. Earth and Space Science. 20 pages.
  • Show author(s) (2022). Changing flood dynamics in Norway since the last millennium and to the end of the 21st century. Journal of Hydrology.
  • Show author(s) (2021). Uncertainty analysis for integrated water system simulations using GLUE with different acceptability thresholds. Science in China Series E: Engineering and Materials Science. 1791-1804.
  • Show author(s) (2021). Mass balance and hydrological modeling of the Hardangerjøkulen ice cap in south-central Norway. Hydrology and Earth System Sciences (HESS). 4275-4297.
  • Show author(s) (2021). Impacts of land use and land cover change and reforestation on summer rainfall in the Yangtze River basin. Hydrology and Earth System Sciences (HESS). 4531-4548.
  • Show author(s) (2021). Impact of the number of donor catchments and the efficiency threshold on regionalization performance of hydrological models. Journal of Hydrology. 19 pages.
  • Show author(s) (2021). Future changes in rain-on-snow events over Norway. Environmental Research Letters. 1-10.
  • Show author(s) (2021). Evaluation of eight global precipitation datasets in hydrological modeling. Remote Sensing.
  • Show author(s) (2020). The impact of initial conditions on convection-permitting simulations of a flood event over complex mountainous terrain. Hydrology and Earth System Sciences (HESS).
  • Show author(s) (2020). Extreme Precipitation Changes in Europe from the Last Millennium to the End of the Twenty-First Century. Journal of Climate. 567-588.
  • Show author(s) (2020). Evaluation of Multi-Satellite Precipitation Datasets and Their Error Propagation in Hydrological Modeling in a Monsoon-Prone Region. Remote Sensing.
  • Show author(s) (2020). An improved routing algorithm for a large-scale distributed hydrological model with consideration of underlying surface impact. Hydrology Research. 834-853.
  • Show author(s) (2019). Twenty-first-century glacio-hydrological changes in the Himalayan headwater Beas River basin. Hydrology and Earth System Sciences (HESS). 1483-1503.
  • Show author(s) (2019). The impact of initial conditions on convection-permitting simulations of flood events. Hydrology and Earth System Sciences Discussions (HESSD).
  • Show author(s) (2019). Performance of post-processed methods in hydrological predictions evaluated by deterministic and probabilistic criteria. Water resources management. 3289-3302.
  • Show author(s) (2019). Parameter uncertainty of a Snowmelt Runoff Model and its impact on future projections of snowmelt runoff in a data-scarce deglaciating river basin. Water. 22 pages.
  • Show author(s) (2019). Improvement and Application of Routing Method for Large Scale Semi-Distributed WASMOD. Journal of Water Resources Research. 56-66.
  • Show author(s) (2019). Evaluation and bias correction of S2S precipitation for hydrological extremes. Journal of Hydrometeorology. 1887-1906.
  • Show author(s) (2018). The assessment of greenwater based on the SWAT model: A case study in the Hai River Basin, China. Water. 1-19.
  • Show author(s) (2017). Evaluating the present annual water budget of a Himalayan headwater river basin using a high-resolution atmosphere-hydrology model. Journal of Geophysical Research (JGR): Atmospheres. 4786-4807.
  • Show author(s) (2016). Trend and concentration characteristics of precipitation and related climatic teleconnections from 1982 to 2010 in the Beas River basin, India. Global and Planetary Change. 116-129.
  • Show author(s) (2016). Forecasting India's water future. EOS. 14-18.
  • Show author(s) (2015). Hydrological projections under climate change in the near future by RegCM4 in Southern Africa using a large-scale hydrological model. Journal of Hydrology. 1-16.
  • Show author(s) (2014). Validation of a new meteorological forcing data in analysis of spatial and temporal variability of precipitation in India. Stochastic environmental research and risk assessment (Print). 239-252.
  • Show author(s) (2014). The comparison of sensitivity analysis of hydrological uncertainty estimates by GLUE and Bayesian method under the impact of precipitation errors. Stochastic environmental research and risk assessment (Print). 491-504.
  • Show author(s) (2013). Development and comparison in uncertainty assessment based Bayesian modularization method in hydrological modeling. Journal of Hydrology. 384-394.
  • Show author(s) (2013). Comparison of satellite-based and re-analysed precipitation as input to glacio-hydrological modelling for Beas River basin, northern India. IAHS-AISH publication. 45-52.
  • Show author(s) (2011). Uncertainty estimates by Bayesian method with likelihood of AR (1) plus Normal model and AR (1) plus Multi-Normal model in different time-scales hydrological models. Journal of Hydrology. 54-65.
  • Show author(s) (2010). Spatial and temporal variability of daily precipitation in Haihe River basin, 1958-2007. Journal of Geographical Science. 248-260.
  • Show author(s) (2010). Evaluation of the subjective factors of the GLUE method and comparison with the formal Bayesian method in uncertainty assessment of hydrological models. Journal of Hydrology. 210-221.
  • Show author(s) (2009). Analyse the sources of equifinality in hydrological model using GLUE methodology. IAHS-AISH publication. 130-138.
Report
  • Show author(s) (2021). Hordaflom rapporten – Klima og flom. .
Popular scientific lecture
  • Show author(s) (2019). The devil is in the details: Present and future hydrological extremes in western Norway.
Academic lecture
  • Show author(s) (2023). Impacts of Snow Assimilation and Dynamic Downscaling on Seasonal Meteorological Forecasts over the Third Pole Region.
  • Show author(s) (2021). Impact of the number of donor catchments and the efficiency threshold on regionalization performance of hydrological models.
  • Show author(s) (2021). Detection, attribution and frequency analysis of non-stationary flood peaks in 32 big rivers worldwide.
  • Show author(s) (2020). Detailed Mass Balance and Hydrological Modeling of the Hardangerjøkulen Ice Cap in South-Central Norway.
  • Show author(s) (2019). Investigating future evolution of glacier and hydrological impacts by an integrated modelling approach.
  • Show author(s) (2019). Glacier evolution and hydrological impacts under changing climate: an integrated modeling approach.
  • Show author(s) (2019). Future evolution of Norwegian glaciers and hydrological impacts: an integrated modelling approach.
  • Show author(s) (2015). Hydrological projections under 21st century climate change in a glacier-fed river basin, Himalaya region.
  • Show author(s) (2014). WRF-Hydro simulation of the Himalaya Beas river basin.
Popular scientific article
  • Show author(s) (2016). Forecasting India's water future. EOS.
  • Show author(s) (2014). Vanskelige indiske vannveier. To Grader.
Academic chapter/article/Conference paper
  • Show author(s) (2019). Challenges in forecasting water resources of the Indus River basin: Lessons from the analysis and modeling of atmospheric and hydrological processes. 27 pages.
Poster
  • Show author(s) (2023). The Impacts of Third Pole Snow Assimilation on Seasonal Meteorology Predictions.
  • Show author(s) (2019). The investigation future evolution of glacier and hydrological impacts by an integrated atmosphere- glacier-hydrological modelling system: case study of a Norwegian glacier.
  • Show author(s) (2019). Hydro-climatic variability in the Hardanger glacier in Norway.
  • Show author(s) (2019). Glacier evolution and hydrological impacts under changing climate: an integrated modeling approach.
  • Show author(s) (2018). Reproduce Severe October Flood event in Western Norway 2014 by a Fully Coupled Atmosphere-Hydrological Modelling System.
  • Show author(s) (2018). Flood-Climate Interactions and the Prospect of Generating Data of Societal Value.
  • Show author(s) (2018). ASSESSMENT OF THE REGIONAL FUTURE PROJECTIONS OF FLOOD IN NORWAY BY PALEOCLIMATE DATA.
  • Show author(s) (2017). Reproduce 2014 Flood Event at Voss, Western Norway by a coupled atmosphere-hydrological model system.
  • Show author(s) (2017). Coupling of a Detailed Snow Model to WRF-Hydro for Glacier Mass Balance and Glacier Runoff Studies.
  • Show author(s) (2016). Evaluating the present annual water budget of a Himalayan headwater river basin using a high-resolution atmosphere-hydrology model.
  • Show author(s) (2015). Hydrological simulation of the Himalaya Beas river basin by a regional hydrometerological model system.
Errata
  • Show author(s) (2022). Correction: Li et al. Joint Effects of the DEM Resolution and the Computational Cell Size on the Routing Methods in Hydrological Modelling. Water 2022, 14, 797. Water.
  • Show author(s) (2014). Erratum to: Validation of a new meteorological forcing data in analysis of spatial and temporal variability of precipitation in India. Stochastic environmental research and risk assessment (Print). 1083-1083.

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