Articles | Volume 24, issue 11
https://doi.org/10.5194/hess-24-5439-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-5439-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Accelerated hydrological cycle over the Sanjiangyuan region induces more streamflow extremes at different global warming levels
Key Laboratory of Regional Climate-Environment for Temperate East
Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
School of Hydrology and Water Resources, Nanjing University of
Information Science and Technology, Nanjing 210044, China
Feng Ma
School of Hydrology and Water Resources, Nanjing University of
Information Science and Technology, Nanjing 210044, China
Department of Civil and Environmental Engineering, Princeton
University, Princeton, New Jersey, USA
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- Bias Correction for Precipitation Simulated by RegCM4 over the Upper Reaches of the Yangtze River Based on the Mixed Distribution Quantile Mapping Method B. Li et al. 10.3390/atmos12121566
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26 citations as recorded by crossref.
- Impacts of Global Climate Warming on Meteorological and Hydrological Droughts and Their Propagations G. Wu et al. 10.1029/2021EF002542
- Characterization and projection of spatial and temporal changes in habitat quality of Sanjiangyuan based on land use change R. Jiang & J. Liu 10.1007/s11442-024-2271-6
- Moisture source anomalies connected to flood‐drought changes over the three‐rivers headwater region of Tibetan Plateau R. Zhao et al. 10.1002/joc.8147
- Impacts of climate warming on global floods and their implication to current flood defense standards J. Chen et al. 10.1016/j.jhydrol.2023.129236
- High-resolution land surface modeling of the irrigation effects on evapotranspiration over the Yellow River basin C. Li et al. 10.1016/j.jhydrol.2024.130986
- Optimal reliability ensemble averaging approach for robust climate projections over China Y. Gao et al. 10.1002/joc.8485
- Recent warm-season dryness/wetness dominated by hot-dry wind in Northern China Y. Feng et al. 10.1016/j.jhydrol.2023.130436
- An Assessment of the Coupled Weather Research and Forecasting Hydrological Model on Streamflow Simulations over the Source Region of the Yellow River Y. Chen et al. 10.3390/atmos15040468
- Assessing global drought conditions under climate change: A comparison of stationary and non-stationary approaches and identification of hotspot regions D. Wu et al. 10.1016/j.jhydrol.2024.131663
- Scrutinise the variations of glaciers and their climatic attributions in the Sanjiangyuan National Park during 1969–2018 L. Wang et al. 10.1016/j.accre.2022.06.007
- Hydrological response to climate change and human activities in the Three-River Source Region T. Su et al. 10.5194/hess-27-1477-2023
- Light use efficiency models incorporating diffuse radiation impacts for simulating terrestrial ecosystem gross primary productivity: A global comparison H. Xu et al. 10.1016/j.agrformet.2023.109376
- Quantitative analysis of input data uncertainty for SPI and SPEI in Peninsular Malaysia based on the bootstrap method Y. Tan et al. 10.1080/02626667.2023.2232348
- Accelerated hydrological cycle on the Tibetan Plateau evidenced by ensemble modeling of Long-term water budgets Y. Wang et al. 10.1016/j.jhydrol.2022.128710
- Future hydrological drought changes over the upper Yellow River basin: The role of climate change, land cover change and reservoir operation P. Ji et al. 10.1016/j.jhydrol.2023.129128
- An integrative analysis of hydroclimatic elements in the three-river source region for historical and future periods: Shift toward an intensified hydrological cycle R. Mahmood et al. 10.1016/j.iswcr.2024.01.005
- Climate warming outweighs vegetation greening in intensifying flash droughts over China M. Zhang et al. 10.1088/1748-9326/ac69fb
- Global terrestrial drought and its projected socioeconomic implications under different warming targets N. He et al. 10.1016/j.scitotenv.2024.174292
- Less concentrated precipitation and more extreme events over the Three River Headwaters region of the Tibetan Plateau in a warming climate J. Du et al. 10.1016/j.atmosres.2024.107311
- Development and evaluation of temperature-induced variable source area runoff generation model L. Guo et al. 10.1016/j.jhydrol.2022.127894
- High‐Resolution Land Surface Modeling of the Effect of Long‐Term Urbanization on Hydrothermal Changes Over Beijing Metropolitan Area P. Ji et al. 10.1029/2021JD034787
- Response of Runoff to Meteorological Factors Based on Time-Varying Parameter Vector Autoregressive Model with Stochastic Volatility in Arid and Semi-Arid Area of Weihe River Basin W. Zeng et al. 10.3390/su14126989
- CMIP6 projects less frequent seasonal soil moisture droughts over China in response to different warming levels S. Chen & X. Yuan 10.1088/1748-9326/abe782
- Temporal and spatial changes in hydrological wet extremes of the largest river basin on the Tibetan Plateau Y. Wang et al. 10.1088/1748-9326/acf8dc
- Bias Correction for Precipitation Simulated by RegCM4 over the Upper Reaches of the Yangtze River Based on the Mixed Distribution Quantile Mapping Method B. Li et al. 10.3390/atmos12121566
- Evaluating Land Surface Temperature Variation and Its Responses to Climate Change and Human Activities on the Southeastern Tibetan Plateau X. Zhou et al. 10.1002/hyp.15313
Latest update: 03 Nov 2024
Short summary
By performing high-resolution land surface modeling driven by the latest CMIP6 climate models, we find both the dry streamflow extreme over the drought-prone Yellow River headwater and the wet streamflow extreme over the flood-prone Yangtze River headwater will increase under 1.5, 2.0 and 3.0 °C global warming levels and emphasize the importance of considering ecological changes (i.e., vegetation greening and CO2 physiological forcing) in the hydrological projection.
By performing high-resolution land surface modeling driven by the latest CMIP6 climate models,...