Hjem
  • E-postlu.li@uib.no
  • Besøksadresse
    Allégaten 70
    5007 Bergen
  • Postadresse
    Postboks 7803
    5020 Bergen
Vitenskapelig artikkel
  • Vis forfatter(e) (2024). The influence of Antarctic sea-ice loss on Northern Hemisphere cold surges and associated compound events. International Journal of Climatology.
  • Vis forfatter(e) (2023). Regional water cycle sensitivity to afforestation: synthetic numerical experiments for tropical Africa. Frontiers in Climate. 18 sider.
  • Vis forfatter(e) (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.
  • Vis forfatter(e) (2022). Towards ensemble-based kilometer-scale climate simulations over the third pole region. Climate Dynamics. 27 sider.
  • Vis forfatter(e) (2022). Probabilistic interval estimation of design floods under non-stationary conditions by an integrated approach. Hydrology Research. 259-278.
  • Vis forfatter(e) (2022). Impacts of snow assimilation on seasonal snow and meteorological forecasts for the Tibetan Plateau. The Cryosphere. 4985-5000.
  • Vis forfatter(e) (2022). Detection and Attribution of Norwegian Annual Precipitation Variability Related to Teleconnections. Earth and Space Science. 20 sider.
  • Vis forfatter(e) (2022). Changing flood dynamics in Norway since the last millennium and to the end of the 21st century. Journal of Hydrology.
  • Vis forfatter(e) (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.
  • Vis forfatter(e) (2021). Mass balance and hydrological modeling of the Hardangerjøkulen ice cap in south-central Norway. Hydrology and Earth System Sciences (HESS). 4275-4297.
  • Vis forfatter(e) (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.
  • Vis forfatter(e) (2021). Impact of the number of donor catchments and the efficiency threshold on regionalization performance of hydrological models. Journal of Hydrology. 19 sider.
  • Vis forfatter(e) (2021). Future changes in rain-on-snow events over Norway. Environmental Research Letters. 1-10.
  • Vis forfatter(e) (2021). Evaluation of eight global precipitation datasets in hydrological modeling. Remote Sensing.
  • Vis forfatter(e) (2020). The impact of initial conditions on convection-permitting simulations of a flood event over complex mountainous terrain. Hydrology and Earth System Sciences (HESS).
  • Vis forfatter(e) (2020). Extreme Precipitation Changes in Europe from the Last Millennium to the End of the Twenty-First Century. Journal of Climate. 567-588.
  • Vis forfatter(e) (2020). Evaluation of Multi-Satellite Precipitation Datasets and Their Error Propagation in Hydrological Modeling in a Monsoon-Prone Region. Remote Sensing.
  • Vis forfatter(e) (2020). An improved routing algorithm for a large-scale distributed hydrological model with consideration of underlying surface impact. Hydrology Research. 834-853.
  • Vis forfatter(e) (2019). Twenty-first-century glacio-hydrological changes in the Himalayan headwater Beas River basin. Hydrology and Earth System Sciences (HESS). 1483-1503.
  • Vis forfatter(e) (2019). The impact of initial conditions on convection-permitting simulations of flood events. Hydrology and Earth System Sciences Discussions (HESSD).
  • Vis forfatter(e) (2019). Performance of post-processed methods in hydrological predictions evaluated by deterministic and probabilistic criteria. Water resources management. 3289-3302.
  • Vis forfatter(e) (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 sider.
  • Vis forfatter(e) (2019). Improvement and Application of Routing Method for Large Scale Semi-Distributed WASMOD. Journal of Water Resources Research. 56-66.
  • Vis forfatter(e) (2019). Evaluation and bias correction of S2S precipitation for hydrological extremes. Journal of Hydrometeorology. 1887-1906.
  • Vis forfatter(e) (2018). The assessment of greenwater based on the SWAT model: A case study in the Hai River Basin, China. Water. 1-19.
  • Vis forfatter(e) (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.
  • Vis forfatter(e) (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.
  • Vis forfatter(e) (2016). Forecasting India's water future. EOS. 14-18.
  • Vis forfatter(e) (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.
  • Vis forfatter(e) (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.
  • Vis forfatter(e) (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.
  • Vis forfatter(e) (2013). Development and comparison in uncertainty assessment based Bayesian modularization method in hydrological modeling. Journal of Hydrology. 384-394.
  • Vis forfatter(e) (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.
  • Vis forfatter(e) (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.
  • Vis forfatter(e) (2010). Spatial and temporal variability of daily precipitation in Haihe River basin, 1958-2007. Journal of Geographical Science. 248-260.
  • Vis forfatter(e) (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.
  • Vis forfatter(e) (2009). Analyse the sources of equifinality in hydrological model using GLUE methodology. IAHS-AISH publication. 130-138.
Rapport
  • Vis forfatter(e) (2021). Hordaflom rapporten – Klima og flom. .
Populærvitenskapelig foredrag
  • Vis forfatter(e) (2019). The devil is in the details: Present and future hydrological extremes in western Norway.
Vitenskapelig foredrag
  • Vis forfatter(e) (2023). Impacts of Snow Assimilation and Dynamic Downscaling on Seasonal Meteorological Forecasts over the Third Pole Region.
  • Vis forfatter(e) (2021). Impact of the number of donor catchments and the efficiency threshold on regionalization performance of hydrological models.
  • Vis forfatter(e) (2021). Detection, attribution and frequency analysis of non-stationary flood peaks in 32 big rivers worldwide.
  • Vis forfatter(e) (2020). Detailed Mass Balance and Hydrological Modeling of the Hardangerjøkulen Ice Cap in South-Central Norway.
  • Vis forfatter(e) (2019). Investigating future evolution of glacier and hydrological impacts by an integrated modelling approach.
  • Vis forfatter(e) (2019). Glacier evolution and hydrological impacts under changing climate: an integrated modeling approach.
  • Vis forfatter(e) (2019). Future evolution of Norwegian glaciers and hydrological impacts: an integrated modelling approach.
  • Vis forfatter(e) (2015). Hydrological projections under 21st century climate change in a glacier-fed river basin, Himalaya region.
  • Vis forfatter(e) (2014). WRF-Hydro simulation of the Himalaya Beas river basin.
Populærvitenskapelig artikkel
  • Vis forfatter(e) (2016). Forecasting India's water future. EOS.
  • Vis forfatter(e) (2014). Vanskelige indiske vannveier. To Grader.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Vis forfatter(e) (2019). Challenges in forecasting water resources of the Indus River basin: Lessons from the analysis and modeling of atmospheric and hydrological processes. 27 sider.
Poster
  • Vis forfatter(e) (2023). The Impacts of Third Pole Snow Assimilation on Seasonal Meteorology Predictions.
  • Vis forfatter(e) (2019). The investigation future evolution of glacier and hydrological impacts by an integrated atmosphere- glacier-hydrological modelling system: case study of a Norwegian glacier.
  • Vis forfatter(e) (2019). Hydro-climatic variability in the Hardanger glacier in Norway.
  • Vis forfatter(e) (2019). Glacier evolution and hydrological impacts under changing climate: an integrated modeling approach.
  • Vis forfatter(e) (2018). Reproduce Severe October Flood event in Western Norway 2014 by a Fully Coupled Atmosphere-Hydrological Modelling System.
  • Vis forfatter(e) (2018). Flood-Climate Interactions and the Prospect of Generating Data of Societal Value.
  • Vis forfatter(e) (2018). ASSESSMENT OF THE REGIONAL FUTURE PROJECTIONS OF FLOOD IN NORWAY BY PALEOCLIMATE DATA.
  • Vis forfatter(e) (2017). Reproduce 2014 Flood Event at Voss, Western Norway by a coupled atmosphere-hydrological model system.
  • Vis forfatter(e) (2017). Coupling of a Detailed Snow Model to WRF-Hydro for Glacier Mass Balance and Glacier Runoff Studies.
  • Vis forfatter(e) (2016). Evaluating the present annual water budget of a Himalayan headwater river basin using a high-resolution atmosphere-hydrology model.
  • Vis forfatter(e) (2015). Hydrological simulation of the Himalaya Beas river basin by a regional hydrometerological model system.
Errata
  • Vis forfatter(e) (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.
  • Vis forfatter(e) (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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