Evaluation of precipitation and its time series components in CMIP6 over the Yellow River Basin
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H. Cai | Haiyun Shi | Zhaoqiang Zhou | Yibo Ding | Shurong Wang | Chengzhen Jiang | Tianao Gao | Xuecai Zhang
[1] Qinglong You,et al. Risk changes of compound temperature and precipitation extremes in China under 1.5 °C and 2 °C global warming , 2021 .
[2] Gang Huang,et al. Super droughts over East Asia since 1960 under the impacts of global warming and decadal variability , 2021, International Journal of Climatology.
[3] D. A. Sachindra,et al. Spatiotemporal changes in global aridity in terms of multiple aridity indices: An assessment based on the CRU data , 2021, Atmospheric Research.
[4] Chengguang Lai,et al. Assessment of the vulnerability of road networks to urban waterlogging based on a coupled hydrodynamic model , 2021, Journal of Hydrology.
[5] Q. Tang,et al. Increasing annual and extreme precipitation in permafrost-dominated Siberia during 1959–2018 , 2021 .
[6] F. Tian,et al. A meta-analysis based review of quantifying the contributions of runoff components to streamflow in glacierized basins , 2021, Journal of Hydrology.
[7] Qingxiang Li,et al. Historical global land surface air apparent temperature and its future changes based on CMIP6 projections , 2021, Science of The Total Environment.
[8] Fengyu Li,et al. Study of mesoscale NDVI prediction models in arid and semiarid regions of China under changing environments , 2021, Ecological Indicators.
[9] Jian-xia Chang,et al. Spatial and temporal evolution of drought characteristics across the Yellow River basin , 2021, Ecological Indicators.
[10] Wei Song,et al. Prolonged impacts of extreme precipitation events weakened annual ecosystem CO2 sink strength in a coastal wetland , 2021, Agricultural and Forest Meteorology.
[11] D. Yan,et al. Quantitative assessment of safety, society and economy, sustainability benefits from the combined use of reservoirs , 2021, Journal of Cleaner Production.
[12] F. Jiang,et al. Desert vegetation responses to the temporal distribution patterns of precipitation across the northern Xinjiang, China , 2021 .
[13] H. Cai,et al. Estimating land use/land cover change impacts on vegetation response to drought under ‘Grain for Green’ in the Loess Plateau , 2021, Land Degradation & Development.
[14] S. Mukherjee,et al. Cascading effect of meteorological forcing on extreme precipitation events: Role of atmospheric rivers in southeastern US , 2021 .
[15] Cong Wang,et al. Runoff sensitivity increases with land use/cover change contributing to runoff decline across the middle reaches of the Yellow River basin , 2021 .
[16] H. Cai,et al. Attribution of meteorological, hydrological and agricultural drought propagation in different climatic regions of China , 2021 .
[17] Zheng Wang,et al. Future changes in precipitation and temperature over the Yangtze River Basin in China based on CMIP6 GCMs , 2021, Atmospheric Research.
[18] Q. Fu,et al. Investigating the Propagation From Meteorological to Hydrological Drought by Introducing the Nonlinear Dependence With Directed Information Transfer Index , 2021, Water Resources Research.
[19] J. Tierney,et al. Globally resolved surface temperatures since the Last Glacial Maximum , 2021, Nature.
[20] Zan Xu,et al. Water and sediment yield response to extreme rainfall events in a complex large river basin: A case study of the Yellow River Basin, China , 2021 .
[21] Shitao Wei,et al. Optimisation of reservoir operation mode to improve sediment transport capacity of silt-laden rivers , 2021 .
[22] Ping Guo,et al. Optimal irrigation water allocation in Hetao Irrigation District considering decision makers’ preference under uncertainties , 2021 .
[23] S. Manju,et al. Harmonic analysis of annual global irradiation in the cities of India , 2021 .
[24] Q. Fu,et al. Characteristics of Propagation From Meteorological Drought to Hydrological Drought in the Pearl River Basin , 2021, Journal of Geophysical Research: Atmospheres.
[25] H. Tabari. Extreme value analysis dilemma for climate change impact assessment on global flood and extreme precipitation , 2021 .
[26] H. Cai,et al. Propagation of meteorological to hydrological drought for different climate regions in China. , 2021, Journal of environmental management.
[27] P. Maeyer,et al. Assessment of CMIP6 in simulating precipitation over arid Central Asia , 2021 .
[28] Zhongbo Yu,et al. Analysis of the spatial Distribution of precipitation and topography with GPM data in the Tibetan Plateau , 2021, Atmospheric Research.
[29] Yizi Shang,et al. Improved ecological development model for lower Yellow River floodplain, China , 2020 .
[30] D. Yan,et al. Evaluation of precipitation in CMIP6 over the Yangtze River Basin , 2020 .
[31] Wen Zhou,et al. Different Enhancement of the East Asian Summer Monsoon under Global Warming and Interglacial Epochs Simulated by CMIP6 Models: Role of the Subtropical High , 2020, Journal of Climate.
[32] Q. Fu,et al. Analysis and prediction of vegetation dynamic changes in China: Past, present and future , 2020 .
[33] T. Gan,et al. Assessing spatiotemporal characteristics of drought and its effects on climate-induced yield of maize in Northeast China , 2020, Journal of Hydrology.
[34] Santiago I. Hurtado,et al. A multi-breakpoint methodology to detect changes in climatic time series. An application to wet season precipitation in subtropical Argentina , 2020 .
[35] Saini Yang,et al. Evaluation of CMIP6 for historical temperature and precipitation over the Tibetan Plateau and its comparison with CMIP5 , 2020 .
[36] Demetris Koutsoyiannis. Revisiting the global hydrological cycle: is it intensifying? , 2020 .
[37] T. Gan,et al. Is the cold region in Northeast China still getting warmer under climate change impact? , 2020 .
[38] Yaning Chen,et al. Evaluation of multiple gridded precipitation datasets for the arid region of northwestern China , 2020 .
[39] P. Jones,et al. Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset , 2020, Scientific Data.
[40] C. Peng,et al. Modeling the effects of precipitation and temperature patterns on agricultural drought in China from 1949 to 2015. , 2020, The Science of the total environment.
[41] Yuan-mei Jiao,et al. Impacts of moisture sources on the temporal and spatial heterogeneity of monsoon precipitation isotopic altitude effects , 2020 .
[42] S. Ye,et al. Dominant mechanism for annual maximum flood and sediment events generation in the Yellow River basin , 2020 .
[43] Huanjie Cai,et al. Exploring optimal irrigation and nitrogen fertilization in a winter wheat-summer maize rotation system for improving crop yield and reducing water and nitrogen leaching , 2020 .
[44] H. Cai,et al. Spatial and temporal effects of drought on Chinese vegetation under different coverage levels. , 2020, The Science of the total environment.
[45] H. Ajami. Geohydrology: Global Hydrological Cycle , 2020 .
[46] Linchao Li,et al. Projections of drought characteristics in China based on a standardized precipitation and evapotranspiration index and multiple GCMs. , 2019, The Science of the total environment.
[47] Bill X. Hu,et al. Projection and uncertainty of precipitation extremes in the CMIP5 multimodel ensembles over nine major basins in China , 2019, Atmospheric Research.
[48] H. Shiogama,et al. Evaluation and Future Projection of Chinese Precipitation Extremes Using Large Ensemble High-Resolution Climate Simulations , 2019, Journal of Climate.
[49] Enliang Guo,et al. Spatial distribution and temporal variation of drought in Inner Mongolia during 1901-2014 using Standardized Precipitation Evapotranspiration Index. , 2019, The Science of the total environment.
[50] C. Shum,et al. Understanding the global hydrological droughts of 2003-2016 and their relationships with teleconnections. , 2019, The Science of the total environment.
[51] W. Collischonn,et al. Hydrological reanalysis across the 20th century: A case study of the Amazon Basin , 2019, Journal of Hydrology.
[52] Huopo Chen,et al. Future precipitation changes over China under 1.5 °C and 2.0 °C global warming targets by using CORDEX regional climate models. , 2018, The Science of the total environment.
[53] Yi Li,et al. Bias correction of precipitation data and its effects on aridity and drought assessment in China over 1961-2015. , 2018, The Science of the total environment.
[54] Yi Li,et al. Bias correction of the observed daily precipitation and re‐division of climatic zones in China , 2018 .
[55] Ke Zhang,et al. Geographically weighted regression based methods for merging satellite and gauge precipitation , 2018 .
[56] R. Vogel,et al. Prewhitening of hydroclimatic time series? Implications for inferred change and variability across time scales , 2018 .
[57] Shouzhang Peng,et al. Detecting and attributing vegetation changes on China’s Loess Plateau , 2017 .
[58] András Bárdossy,et al. Temporal asymmetry in precipitation time series and its influence on flow simulations in combined sewer systems , 2017 .
[59] Tiejian Li,et al. Evaluation of the gridded CRU TS precipitation dataset with the point raingauge records over the Three-River Headwaters Region , 2017 .
[60] Shengzhi Huang,et al. Identification of the non-stationarity of extreme precipitation events and correlations with large-scale ocean-atmospheric circulation patterns: A case study in the Wei River Basin, China , 2017 .
[61] P. Joe,et al. So, how much of the Earth's surface is covered by rain gauges? , 2014, Bulletin of the American Meteorological Society.
[62] Jian-xia Chang,et al. Period analysis of hydrologic series through moving-window correlation analysis method , 2016 .
[63] Richard M. Vogel,et al. On the deterministic and stochastic use of hydrologic models , 2016 .
[64] S. Supharatid. Skill of precipitation projectionin the Chao Phraya river Basinby multi-model ensemble CMIP3-CMIP5 , 2016 .
[65] S. Lykoudis,et al. Alternative least squares methods for determining the meteoric water line, demonstrated using GNIP data , 2014 .
[66] Michel Lang,et al. Review of trend analysis and climate change projections of extreme precipitation and floods in Europe , 2014 .
[67] Lin Wang,et al. A CMIP5 multimodel projection of future temperature, precipitation, and climatological drought in China , 2014 .
[68] P. Jones,et al. Updated high‐resolution grids of monthly climatic observations – the CRU TS3.10 Dataset , 2014 .
[69] M. Jha,et al. Seasonal and annual precipitation time series trend analysis in North Carolina, United States , 2014 .
[70] Gareth Pender,et al. Numerical modelling of turbidity currents in the Xiaolangdi reservoir, Yellow River, China , 2012 .
[71] L. V. Beek,et al. Water balance of global aquifers revealed by groundwater footprint , 2012, Nature.
[72] T. Jiang,et al. Quasi-cycles in Chinese precipitation time series and in their potential influencing factors , 2009 .
[73] H. Yin,et al. Correlation of precipitation to temperature variation in the Huanghe River (Yellow River) basin during 1957–2006 , 2009 .
[74] Fu Congbin,et al. Comparison of Products from ERA-40,NCEP-2,and CRU with Station Data for Summer Precipitation over China , 2006 .
[75] Douglas L. Kane,et al. Bias corrections of long‐term (1973–2004) daily precipitation data over the northern regions , 2005 .
[76] T. Koike,et al. A Bias-Corrected Precipitation Climatology for China , 2004 .