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Location: home > People/Professors

Name: ZHANG Yongqiang

Current Appointment: Professor


PhD, Hydrology (the President Outstanding Award Winner), Chinese Academy of Sciences (2004)

MS, Ecology, Chinese Academy of Sciences (2000)

BS, Geography (ranked 1st), Inner Mongolia Normal University, China (1997)

Areas of Specialization:

Understanding and quantifying regional and global hydrological processes under climate change, water resource assessments, predicting floods and droughts, and integrated catchment management

Academic Awards:

The Highly Cited Chinese Scientists selected by Scopus (2022)

Most Valuable Earth Data Award: China National Earth Observation Data Center (2022)

Top 100,000 global scientists listed by Globalauthorid (2022)

The World's Top 2% Scientists listed by Stanford University (2021, 2022)

President’s Invited Plenary Speaker: MSSANZ (MODSIM) (2019)

Visiting Professor: Southern University of Science and Technology, China (2018-2019)

Chairman’s Medal Award: CSIRO, Australia (2018)

Early Career Research Excellence Award: MSSANZ (MODSIM) (2017)

GN Alexander Medal: Engineers Australia (2012)

Visiting Professor: Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences

Best 100 Chinese PhD dissertations (finalist): China (2006)

Fellow: Alexander von Humboldt Foundation of Germany (2005-2006)

Best PhD dissertation Award: Chinese Academy of Sciences (2005)

President Outstanding Award: Chinese Academy of Sciences (2004)

Society Appointments:

Associate Editor (present):

Journal of Geophysical Research: Atmospheres, AGU

Journal of Hydrology, Elsevier

Science of Remote Sensing, Elsevier

Remote Sensing Time Series Analysis section of Frontiers in Remote Sensing, Frontier

Editorial Board (present):

Remote Sensing of Environment, Elsevier

Sustainable Horizons, Elsevier

Chief Special Issue Editor:

Remote Sensing of Environment, Elsevier

Journal of Hydrology, Elsevier

Stream Leader of Hydroclimate, MSSANZ, Australia (2021-present)

Representative Publications (Impact factor > 3.0):

[1]     Luan JK, Miao P, Tian XG, Li XJ, Ma N, Xu ZW, Wang HM, Zhang YQ*, (2022). Separating the impact of check dams on runoff from climate and vegetation changes. Journal of Hydrology, 128565 (IF = 6.708)

[2]     Faiz MA, Zhang YQ*, Tian XQ, Tian J, Zhang X, Ma N, Aryal S, (2022). Drought index revisited to assess its response to vegetation in different agroclimatic zones. Journal of Hydrology, 128543 (IF = 6.708)

[3]     Li H, Lo MH, Ryu D, Peel M*, Zhang YQ, (2022). Possible Increase of Air Temperature by Irrigation. Geophysical Research Letters, e2022GL100427. (IF = 5.576)

[4]     Xu Z, Zhang YQ*, Zhang X, Ma N, Tian J, Kong D, Post D, (2022). Bushfireinduced Water Balance Changes Detected by a Modified Paired Catchment Method. Water Resources Research, doi: /10.1029/2021WR031013. (IF = 6.160)

[5]     Meresa H, Zhang YQ*, Tian J, Faiz MA, (2022). Disentangling aggregated uncertainty sources in peak flow projections under different climate scenarios. Journal of Hydrology, 613, 128426. (IF = 6.708)

[6]     Meresa H, Zhang YQ*, Tian J, Ma N, Zhang X, Heidari H, Naeem S, (2022). An Integrated Modeling Framework in Projections of Hydrological Extremes. Surveys in Geophysics, https://doi.org/10.1007/s10712-022-09737-w, 1-46. (IF = 7.965)

[7]     Ma N*, Zhang YQ*, (2022). Contrasting trends in water use efficiency of the alpine grassland in Tibetan Plateau. Journal of Geophysical Research: Atmospheres, e2022JD036919. (IF = 5.217)

[8]     Song P, Zhang YQ*, Guo J, Shi J, Zhao T, Tong B, (2022). A 1k daily surface soil moisture dataset of enhanced coverage under all-weather conditions over China in 2003-2019. Earth System Science Data, 14(6): 2613-2637. (IF = 11.333)

[9]     Shao XM, Zhang YQ*, Liu C, Chiew FHS, Tian J, Ma N, Zhang X, (2022). Can indirect evaluation methods and their fusion products reduce uncertainty in actual evapotranspiration estimates? Water Resources Research, e2021WR031069. (IF = 6.160)

[10]  Nourani V*, Sharghi E, Behfar N, Zhang YQ, (2022). Multi-step-ahead solar irradiance modeling employing multi-frequency deep learning models and climatic data. Applied Energy. 315, 119069. (IF = 11.446)

[11]  Kong DD, McVicar TR, Xiao MZ*, Zhang YQ, Pe?aArancibia JL, Filippa G, Xie Y, Gu XH, (2022) phenofit: AR package for extracting vegetation phenology from time series remote sensing. Methods in Ecology and Evolution, https://doi.org/10.1111/2041-210X, 13870 (IF = 8.330)

[12]  Sharghi E, Nourani V*, Zhang YQ, Ghaneei P, (2022). Conjunction of cluster ensemble-model ensemble techniques for spatiotemporal assessment of groundwater depletion in semi-arid plains. Journal of Hydrology, 127984. (IF = 6.708)

[13]  Jahanshahi A*, Ghazanchaei Z, Navari M, Goharian E, Patil SD, Zhang YQ, (2022). Dependence of rainfall-runoff model transferability on climate conditions in Iran. Hydrological Science Journal, 76(4): 564-587. (IF = 3.942)

[14]  Luan J, Miao P, Tian X, Li X, Ma N, Faiz MA, Xu Z, Zhang YQ*, (2022). Estimating hydrological consequences of vegetation greening. Journal of Hydrology, 128018. (IF = 6.708)

[15]  Sun WY, Ding X, Su J, Mu XM*, Zhang YQ*, Gao P, Zhao G, (2022). Land use and cover changes on the Loess Plateau: A comparison of six global or national land use and cover datasets. Land Use Policy, 119, 106165. (IF = 6.189)

[16]  He J, Feng P, Wang B, Zhuang W, Zhang YQ, Liu DL, Cleverly J, Huete A, Yu Q*, 2022. Centennial annual rainfall pattern changes show an increasing trend with higher variation over Northern Australia. Journal of Hydrometeorology. (IF = 4.871)

[17]  Tian J, Zhang YQ*, Guo J, Zhang X, Ma N, Wei H, Tang Z, (2022). Predicting root zone soil moisture using observations at 2121 sites across China. Science of the Total Environment, 157425. (IF = 10.753)

[18]  Zhang X*, Zhang YQ*, Tian J, Ma N, Wang YP, (2022). CO2 fertilization is spatially distinct from stomatal conductance reduction in controlling ecosystem water-use efficiency increase. Environmental Research letters 17(5), 054048. (IF = 6.947)

[19]  Ma N*, Zhang YQ*, (2022). Increasing Tibetan Plateau terrestrial evapotranspiration primarily driven by precipitation. Agricultural and Forest Meteorology, https://doi.org/10.1016/j.agrformet.2022.108887. (IF = 6.424)

[20]  Zhang YQ*, Viglione A., Bl?schl G, (2022). Temporal scaling of streamflow elasticity to precipitation: A global analysis. Water Resources Research, 58, e2021WR030601. https://doi.org/10.1029/2021WR030601. (IF = 6.160)

[21]  He J, Letu H, Lei Y, Guo E, Bao S, Zhang YQ, Tana G, & Bao Y, (2022). Influence of Energy and Water Cycle Key Parameters on Drought in Mongolian Plateau during 1979-2020, Remote Sensing,14, 685 (IF = 5.349)

[22]  Jahanshahi A, Ghazanchaei Z, Navari M, Goharian E, Patil SD, Zhang YQ, (2022). Dependence of rainfall-runoff model transferability on climate conditions in Iran. Hydrological Sciences Journal, 1-24 (IF = 3.942)

[23]  Lyu S, Zhai Y, Zhang YQ*, Cheng L, Kumar P, Song J, Wang Y, Huang M, Fang H, Zhang J*, (2022).  Baseflow signature behaviour of mountainous catchments around the North China Plain. Journal of Hydrology, 606, 127450 (IF = 6.708)

[24]  Faiz AM, Zhang YQ*, Zhang XZ, Ma N, Aryal SK, Thi Viet Ha T, Baig F, Na F, (2022). A composite drought index developed for detecting large-scale drought characteristics. Journal of Hydrology, https://doi.org/10.1016/j.jhydrol.2021.127308. (IF = 6.708)   

[25]  Zhang XZ*, Zhang YQ*, Ma N, Kong DD, Tian J, Shao XM, Tang Q, (2021). Greening-induced increase in evapotranspiration over Eurasia offset by CO2-induced vegetational stomatal closure. Environmental Research Letters, 16 (12), 124008. (IF = 6.947)

[26]  Zhang YQ*, Dru D, Zheng D, (2021). Using Remote Sensing Techniques to Improve Hydrological Predictions in a Rapidly Changing World. Remote Sensing, 13, 3865. (IF = 5.349)

[27]  Gan R, Zhang L, Yang Y, Wang EL, Woodgate W, Zhang YQ*, Haverd V, Kong DD, Fischer T, Chiew C, Yu Q*, (2021). Estimating ecosystem maximum light use efficiency based on the water use efficiency principle. Environmental Research Letters, 16 (10), 104032. (IF = 6.947)

[28]  Guo YH, Zhang L, Zhang YQ*, Wang ZG, Zheng HX, (2021). Estimating impacts of wildfire and climate variability on streamflow in Victoria, Australia. Hydrological Processes, 35 (12), e14439. IF = 3.784)

[29]  You Y, Liu J*, Zhang YQ, Beck HE, Gu X*, Kong D, (2021). Impacts of El Ni?o–southern oscillation on global runoff: Characteristic signatures and potential mechanisms. Hydrological Processes, 35 (10), e14367. IF = 3.784)

[30]  Dowling TPF, Song PL*, De Jong MC, Merbold L, Wooster MJ, Huang JF, Zhang YQ, (2021). An Improved Cloud Gap-Filling Method for Longwave Infrared Land Surface Temperatures through Introducing Passive Microwave Techniques. Remote Sensing, 13(17), 3522. (IF = 5.349)

[31]  Song PL, Zhang YQ*. An improved non-linear inter-calibration method on different radiometers for enhancing coverage of daily LST estimates in low latitudes, Remote Sensing of Environment, 2021, 112626. (IF = 13.850)

[32]  Ma N*, Szilagyi J, Zhang YQ*, (2021). Calibration-free complementary relationship estimates terrestrial evapotranspiration globally. Water Resources Research, e2021WR029691. (IF = 6.160)

[33]  Li XJ, Zhang YQ*, Ma N, Li CC, Luan JK. Contrasting effects of climate and LULC change on blue water resources at varying temporal and spatial scales. Science of The Total Environment, 2021, 786, 147488. (IF = 10.753)

[34]  Yang YT*, McVicar TR, Yang DW, Zhang YQ, Piao SL, Peng SS, Beck H, (2021). Low and contrasting impacts of vegetation CO2 fertilization on terrestrial runoff over the past three decades: Accounting for above-and below-ground vegetation-CO2 effects. Hydrology and Earth System Sciences, https://doi.org/10.5194/hess-2020-548. (IF = 6.617)

[35]  Luan JK, Zhang YQ*, Ma N, Tian J, Li XJ, Liu D, (2021). Evaluating the uncertainty of eight approaches for separating the impacts of climate change and human activities on streamflow. Journal of Hydrology, 126605. (IF = 6.708)

[36]  Viney NR, Post DA*, Zhang YQ, Karim Fazlul, Aryal SK, Gilfedder M, Arancibia JP, Wang B, Yang A, Singh R, Shi XG, Crosbie RS, Peeters LJM, Herron NF, Vaze J, Marvanek S, Crawford D, Ramage A, Dehelean A, Gonzalez D, Li LT, Evans T, (2021). Modelling the cumulative impacts of future coal mining and coal seam gas extraction on river flows: Applications of methodology. Journal of Hydrology, 126440. (IF = 6.708)

[37]  Sharma C, Shukla AK, Zhang YQ*, (2021). Climate change detection and attribution in the Ganga-Brahmaputra-Meghna river basins. Geoscience Frontiers, 12(5), 101186. (IF = 7.483)

[38]  Tian J, Zhang YQ*, Zhang XZ, (2021). Impacts of heterogeneous CO2 on water and carbon fluxes across the global land surface. International Journal of Digital Earth, https://doi.org/10.1080/17538947.2021.1937352. (IF = 4.606)

[39]  Paul PK, Zhang YQ*, Ma N, Mishra A, Panigrahy N, Singh R, (2021). Selecting Hydrological Models for Developing Countries: Perspective of Global, Continental, and Country Scale Models over Catchment Scale Models. Journal of Hydrology, 126561. (IF = 6.708)

[40]  Zhang XZ*, Wang YP*, Rayner PJ, Ciais P, Huang K, Luo YQ, Piao SL, Wang ZL, Xia JY, Zhao W, Zheng XG, Tian J, Zhang YQ*, (2021). A small climate-amplifying effect of climate-carbon cycle feedback. Nature communications, 12, 2952, https://doi.org/10.1038/s41467-021-22392-w. (IF = 17.690)

[41]  Faiz MA, Zhang YQ*, Baig F, Wrzesi?ski D, Naz F, (2021). Identification and intercomparison of appropriate longterm precipitation datasets using decision tree model and statistical matrix over China. International Journal of Climatology, https://doi.org/10.1002/joc.7113. (IF = 3.651)

[42]  Meresa H, Zhang YQ*, (2021). Contrasting Uncertainties in Estimating Floods and Low Flow Extremes. Water Resources Management, https://doi.org/10.1007/s11269-021-02809. (IF = 4.426)

[43]  Zhou XY*, Zhang YQ, Sheng ZP, Manevski K, Andersen MN, Yang YH*, Han SM, Li LH, (2021). Did water-saving irrigation protect water resources over the past 40 years? A global analysis based on water accounting framework. Agricultural Water Management, 249, 106793. (IF = 6.611)

[44]  Naeem S, Zhang YQ*, Zhang XZ, Tian J, Abbas S, Luo LL, Meresa HK, (2021). Both climate and socioeconomic drivers contribute in vegetation greening of the Loess Plateau. Science Bulletin, 66, 1160–1163. (IF = 20.577)

[45]  Wang P, Huang Q, Pozdniakov SP, Liu S*, Ma N, Wang T*, Zhang YQ, Yu J, Fu GB, Frolova NL, Liu CM, (2021). Potential role of permafrost thaw on increasing Siberian river discharge. Environmental Research Letters, https://doi.org/10.1088/1748-9326/abe326. (IF = 6.947)

[46]  Zhai XY, Zhang YY*, Zhang YQ, Guo L, Liu RH, (2021). Simulating flash flood hydrographs and behavior metrics across China: Implications for flash flood management. Science of The Total Environment, 763, 142977. (IF = 10.753)

[47]  Song PL, Zhang YQ*, Tian J. Improving Surface Soil Moisture Estimates in Humid Regions by an Enhanced Remote Sensing Technique, Geophysical Research Letters, 2021, https://doi.org/10.1029/2020GL091459. (IF = 5.576)

[48]  Zhou XY, Zhang YQ*, Beck HE, Yang YH, (2021). Divergent negative spring vegetation and summer runoff patterns and their driving mechanisms in natural ecosystems of northern latitudes, Journal of Hydrology, 2021, 592, 125848. (IF = 6.708)

[49]  Nagdeve M, Paul PK*, Zhang YQ*, Singh R, (2021). Continuous Contour Trench (CCT): Understandings of hydrological processes after standardisation of dimensions and development of a user-friendly software for standardization, Soil & Tillage Research, 104792. (IF = 7.366)

[50]  Huang CL, Yang QK*, Guo YH, Zhang YQ, Guo LN, 2020. The pattern, change and driven factors of vegetation cover in the Qin Mountains region, Scientific Reports, 10: 20591. (IF = 4.996)

[51]  Ma N*, Yu KL, Zhang YS, Zhai JQ, Zhang YQ, Zhang HB, (2020). Ground observed climatology and trend in snow cover phenology across China with consideration of snow-free breaks, Climate Dynamics, 55 (9):2867-2887. (IF = 4.901)

[52]  Guo YH, Zhang YQ*, Zhang L, Wang ZG. Regionalization of hydrological modeling for predicting streamflow in ungauged catchments: A comprehensive review, WIREs Water, 2020, DOI: 10.1002/wat2.1487. (IF = 7.428)

[53]  Yun XB, Tang QH*, Wang J, Liu XC, Zhang YQ, Lu H, Wang YL, Zhang L, Chen DL, (2020). Impacts of climate change and reservoir operation on streamflow and flood characteristics in the Lancang-Mekong River Basin, Journal of Hydrology, 590, 125472. (IF = 6.708)

[54]  Huang Q#, Qin GH#, Zhang YQ*, Tang QH, Liu CM, Xia J, Chiew FHS, Post D, (2020). Using Remote Sensing Data‐based Hydrological Model Calibrations for Predicting Runoff in Ungauged or Poorly Gauged Catchments, Water Resources Research, doi: 10.1029/2020WR028205. (IF = 6.160)

[55]  Post D*, Crosbie RS, Viney NR, Peeters LJM, Zhang YQ, Herron NF, Wilkins A, Janardhanan S, Karim F, Aryal SK, Pena-Arancibia J, Lewis S, Evans T, Vaze J, Chiew FHS, Marvanek SP, Henderson B, Schmidt B, Herr A, (2020). Impacts of coal mining and coal seam gas extraction on groundwater and surface water, Journal of Hydrology, 591, 125281. (IF = 6.708)

[56]  Li CC, Zhang YQ*, Shen YJ, Yu Q, (2020). Decadal water storage decrease driven by vegetation changes in the yellow river basin, Science Bulletin, doi://10.1016/j.scib.2020.07.020. (IF = 20.577)

[57]  Gu XH, Zhang Q*, Chen DL, Li JF, Singh VP, Zhang YQ, Liu JY*, Shen ZX, Yu HQ, (2020). Impacts of anthropogenic warming and uneven regional socio-economic development on global river flood risk, Journal of Hydrology, https://doi.org/10.1016/j.jhydrol.2020.1. (IF = 6.708)

[58]  Kong DD, Zhang YQ*, Wang DG, Chen JY, Gu XH*, (2020). Photoperiod explains the asynchronization between vegetation carbon phenology and vegetation greenness phenology, Journal of Geophysical Research: Biogeosciences, https://doi.org/10.1029/2020JG005636. (IF = 4.430)

[59]  Li M*, Zhang YQ, Wallace J, Campbell E, (2020). Estimating annual runoff in response to forest change: a statistical method based on random forest, Journal of Hydrology, 125168. (IF = 6.708)

[60]  Luan JK, Zhang YQ*, Tian J, Meresa H, Liu DF, (2020). Coal mining impacts on catchment runoff, Journal of Hydrology, doi: 10.1016/j.jhydrol.2020.125101. (IF = 6.708)

[61]  Bai P, Liu XM*, Zhang YQ, Liu CM, (2020). Assessing the impacts of vegetation greenness change on evapotranspiration and water yield in China, Water Resources Research, doi: 10.1029/2019WR027019. (IF = 6.160)

[62]  Feng SY, Liu JY*, Zhang Q*, Zhang YQ, Singh VP, Gu XH, Sun P, (2020). A global quantitation of factors affecting evapotranspiration variability, Journal of Hydrology, doi.org/10.1016/j.jhydrol.2020.124688. (IF = 6.708)

[63]  Zhang YQ*, Chiew FHS, Liu CM, Tang QH, Xia J, Tian J, Kong D, Li C, (2020). Can remotely sensed actual evapotranspiration facilitate hydrological prediction in ungauged regions without runoff calibration?, Water Resources Research, 56, e2019WR026236. (IF = 6.160)

[64]  Li CC, Zhang YQ*, Shen YJ, Kong DD, Zhou XY, (2020). LUCC-driven changes in gross primary production and actual evapotranspiration in northern China, Journal of Geophysical Research: Atmospheres, 125, e2019JD031705. (IF = 5.217)

[65]  Song XY#, Sun WY#, Zhang YQ*, Song SB, Li JY, Gao YJ, (2020). Using hydrological modelling and data-driven approaches to quantify mining activities impacts on centennial streamflow, Journal of Hydrology, 2020, 124764. (IF = 6.708)

[66]  Zhang JL, Zhang YQ*, Song JX*, Cheng L, Paul PK, Gan R, Shi XG, Luo ZK, Zhao PP, (2020). Large-scale baseflow index prediction using hydrological modelling, linear and multilevel regression approaches, Journal of Hydrology, 585, 124780. (IF = 6.708)

[67]  Aryal S*, Zhang YQ*, Chiew FHS (2020). Enhanced low flow prediction for water and environmental management, Journal of Hydrology, 584, 124658. (IF = 6.708)

[68]  Sun WY#, Song XY#, Zhang YQ*, Chiew FHS, Post D, Zheng HX, Song SB, (2020). Coal mining impacts on baseflow detected using paired catchments, Water Resources Research, 56(2), e2019WR025770. (IF = 6.160)

[69]  Tian J, Zhang YQ*, (2020). Detecting changes in irrigation water requirement in Central Asia under CO2 fertilization and land use changes, Journal of Hydrology, 583, 124315. (IF = 6.708)

[70]  Naeem S, Zhang YQ*, Tian J, Qamer FM, Latif A, Paul KP, (2020). Quantifying the Impact of Anthropogenic Activities and Climate Variations on Vegetation Productivity Change of China from 1985-2015. Remote Sensing, 12, 1113, doi:10.3390/rs12071113. (IF = 5.349)

[71]  Li ZH, Shi XG*, Tang QH, Zhang YQ, Gao HL, Pan XC, Stephen DJ, Zhou P, (2020). Partitioning the contributions of glacier melt and precipitation to the 1971-2010 runoff increases in a headwater basin of the Tarim River, Journal of Hydrology, 124579. (IF = 6.708)

[72]  Lian X, Piao SL*, Li LZX, Li Y, Huntingford C, Ciais P, Cescatti A, Janssens IA, Penuelas J, Buerman W, Chen AP, Li XY, Myneni RB, Wang XH, Wang YL, Yang YT, Zeng ZZ, Zhang YQ, McVivar TR, (2020). Summer soil drying exacerbated by earlier spring greening of northern vegetation, Science Advances, 6(1): eaax0255. (IF = 14.136ESI TOP 1% highly cited paper)

[73]  Zhang YQ*, (2020). Using LiDAR-DEM based rapid flood inundation modelling framework to map floodplain inundation extent and depth, Journal of Geographical Science, 30 (10), 1649-1663. (IF = 4.012)

[74]  Yu LF, Ma LX, Li HL, Zhang YQ, Kong FC, Yang YH*, (2020). Assessment of high-resolution satellite rainfall products over a gradually elevating mountainous terrain based on a high-density rain gauge network, International Journal of Remote Sensing, 41(14), 5620-5644. (IF = 3.531)

[75]  Pei YY, Dong JW*, Zhang Y, Yang JL, Zhang YQ, Jiang CY, Xiao XM*, (2020). Performance of four state-of-the-art GPP products (VPM, MOD17, BESS and PML) for grasslands in drought years, Ecological Informatics, 101052. (IF = 4.498)

[76]  Kong DD, Zhang YQ*, Gu XH, Wang DG, (2019). A robust method for reconstructing global MODIS EVI time series on the Google Earth Engine, ISPRS Journal of Photogrammetry and Remote Sensing, 155, 13-24. (IF = 11.774)

[77]  Zhang YQ*, Zheng HX, Herron N, Liu XC, Wang ZG, Chiew FHS, Parajka J, (2019). A framework estimating cumulative impact of damming on downstream water availability. Journal of Hydrology, 575, 612-627. (IF = 6.708)

[78]  Zhou XY, Yang YH*, Sheng ZP, Zhang YQ, (2019). Reconstructed natural runoff helps to quantify the relationship between upstream water use and downstream water scarcity in China's river basins, Hydrology and Earth System Sciences, 23(5), 2491-2505. (IF = 6.617)

[79]  Sun WY, Mu XM*, Gao P, Zhao GJ, Li JY, Zhang YQ*, Chiew F, (2019). Landscape patches influencing hillslope erosion processes and flow hydrodynamics, Geoderma, 353, 391-400. (IF = 7.422)

[80]  Sun WY, Zhang YQ, Mu XM*, Li JY, Gao P, Zhao GJ, Dang TM, Chiew F, (2019). Identifying terraces in the hilly and gully regions of the Loess Plateau in China. Land Degradation & Development, 30(17): 2126-2138. (IF = 4.977)

[81]  Zhang YQ*, Kong DD*, Rong G, Chiew FHS, McVicar TR, Zhang Q, Yang YT, (2019). Coupled estimation of 500m and 8-day resolution global evapotranspiration and gross primary production in 2002-2017, Remote Sensing of Environment, 222, 165-182. (IF = 13.850ESI TOP 1% highly cited paper)

[82]  Zhang YQ*, Li HX, Reggiani P, (2019). Climate variability and climate change impacts on land surface, hydrological processes and water management, Water, 11(7), 1492. (IF = 3.530)

[83]  Gao YJ, Zhang YQ*, (2019). Effects of the Three Gorges Project on Runoff and Related Benefits of the Key Regions along Main Branches of the Yangtze River, Water, 11(2), 269. (IF = 3.530)

[84]  Song JX*, Cheng DD, Zhang JL, Zhang YQ, Long YQ, Zhang Y, Shen WB, (2019). Estimating spatial pattern of hyporheic water exchange in slack water pool, Journal of Geographical Sciences, 29(3), 377-388. (IF = 3.534)

[85]  Kumar PP, Zhang YQ*, Mishra A, Panigrahy N, Singh R, (2019). Comparative Study of Two State-of-the-Art Semi-Distributed Hydrological Models, Water, 11(5): 871. (IF = 3.530)

[86]  Bl?schl G*, Bierkens MFP, other 227 scientists, Zhang YQ, (2019). Twenty-three unsolved problems in hydrology (UPH)–a community perspective, Hydrological Sciences Journal, 64(10), 1141-1158. (IF = 3.942, ESI TOP 1% highly cited paper)

[87]  Chiew FHS*, Fu GB, Post D, Zhang YQ, Wang B, and Viney N, (2018). Impact of Coal Resource Development on Streamflow Characteristics: Influence of Climate Variability and Climate Change. Water, 10, 1161, doi:10.3390/w10091161. (IF = 3.530)

[88]  Zhang YQ*, Post D, (2018). How good are gap-filled streamflow data for hydrological analysis?, Hydrology and Earth System Sciences, 22, 1-12, https://doi.org/10.5194/hess-2018-250.  (IF = 6.617)

[89]  Zhang YQ*, Chiew FHS, Li, M, Post D, (2018). Predicting runoff signatures using regression and hydrological modelling approaches, Water Resources Research, 10.1029/2018WR023325. (IF = 6.160)

[90]  Peeters L, Pagendam DE, Crosbie RS, Viney NR, Rachakonda PK, Dawes WR, Gao L, Marvanek SP, Zhang YQ, McVicar TR, (2018). Building confidence in environmental impact models through quantitative and qualitative uncertainty analysis. Environmental Modelling & Software, 109, 53-367. (IF = 5.471)

[91]  Liu JY, Zhang YQ*, Yang YT*, Gu XH, Xiao MZ, (2018). Investigating Relationships Between Australian Flooding and Large‐Scale Climate Indices and Possible Mechanism. Journal of Geophysical Research: Atmospheres, 123. https://doi.org/10.1029/2017JD028197. (IF = 5.217)

[92]  Liu JY, Zhang Q*, Shi PJ, Singh V, Zhang YQ, Wang LC, Gu XH, Kong DD, (2018). Hydrological effects of climate variability and vegetation dynamics on annual fluvial water balance at global scale. Hydrology and Earth System Sciences, 22, 4047-4060. (IF = 6.617)

[93]  Lian X, Piao SL*, Huntingford C, Li Y, Zeng ZZ, He Y, Wang XH, Ciais P, McVicar TR, Peng SS, Otte C, Yang H, Yang YT, Zhang YQ, Wang T, (2018). Partitioning global land evapotranspiration using CMIP5 models constrained by field observations. Nature Climate Change, 8, 640-646. (IF = 25.290)

[94]  Yang YT*, Zhang YL, McVicar TR, Donohue RJ, Beck HE, Zhang YQ, Liu B, (2018). Disconnection between atmospheric and terrestrial drying trends, Water Resources Research, 54, https://doi.org/10.1029/2018WR022593. (IF = 6.160)

[95]  Bai P, Liu X*, Zhang YQ, Liu C, (2018). Incorporating vegetation dynamics noticeably improved performance of hydrological model under vegetation greening, Science of Total Environment, 643: 610-622. (IF = 10.753)

[96]  Wang YY, Zhang YQ*, Chiew FHS, McVicar TR, Zhang L, Li HX, Qin GH, (2017). Contrasting runoff trends between dry and wet parts of eastern Tibetan Plateau. Scientific Reports 7 (1), 15458. (IF = 4.996)

[97]  Liu JY, Zhang YQ*, (2017). Multi-temporal scale clustering of continental floods and associated atmospheric circulations, Journal of Hydrology 555, 744-759. (IF = 6.708)

[98]  Liu JY, Zhang Q*, Zhang YQ*, Cheng X, Li Jianfeng, Aryal SK, (2017). Deducing of climatic elasticity to assess projected climate change impacts on streamflow change across China. Journal of Geophysical Research: Atmospheres, doi: 10.1002/2017JD026701. (IF = 5.217)

[99]  Zhang YQ*, Chiew FHS, Pe?a Arancibia J, Sun FB, Li HX, (2017). Global variation of transpiration and soil evaporation and the role of their major climate drivers. Journal of Geophysical Research: Atmospheres, 122, 6868–6881, doi:10.1002/2017JD027025. (IF = 5.217)

[100]  Cheng L., Zhang L*, Wang YP, Candell JP, Chiew FHS, Beringer J, Li L, Miralles DG, Piao SL, Zhang YQ, (2017). Nature Communications, 8:110. doi: 10.1038/s41467-017-00114-5. (IF = 17.690)

[101]  Li L*., Wang YP, Beringer J, Shi H, Cleverley J, Cheng L, Eamus D, Huete A, Hutley L, Lu XJ, Piao SL, Zhang L, Zhang YQ, Yu Q, (2017). Responses of LAI to rainfall explain contrasting sensitivities to carbon uptake between forest and non-forest ecosystems in Australia, Scientific Reports, 7 (1), 11720. (IF = 4.996)

[102]  Yang YT*, McVicar TR., Donohue RJ, Zhang YQ, Roderick ML, Chiew FHS, Zhang L, Zhang JL, (2017). Lags in hydrologic recovery following an extreme drought: assessing the roles of climate and catchment characteristics, Water Resources Research, 53 (6), 4821-4837. (IF = 6.160)

[103]  Li H., Zhang YQ*, (2017).  Regionalising rainfall-runoff modelling for predicting daily runoff: Comparing gridded spatial proximity and gridded integrated similarity approaches against their lumped counterparts, Journal of Hydrology, 550: 279-293. (IF = 6.708)

[104]  Zhang JL., Zhang YQ*, Song JX, Cheng L., (2017). Evaluating relative merits of four baseflow separation methods in Eastern Australia. Journal of Hydrology, 549: 252-263. (IF = 6.708)

[105]  Zhang YQ*, Zheng HX, Chiew, FHS, Pe?a Arancibia J, Zhou XY, (2016). Evaluating regional and global hydrological models against streamflow and evapotranspiration measurements, Journal of Hydrometeorology, 995-1010. (IF = 4.871)

[106]  Zhang YQ*, Pe?a Arancibia J, McVicar T, Chiew FHS, Liu CM, Pan M, Zheng HX, (2016). Multi-decadal trends in global terrestrial evapotranspiration and its components. Scientific Reports, 6, 19124, doi: 10.1038/srep19124. (IF = 4.996, ESI TOP 1% highly cited paper)

[107]  Zhou YC, Zhang YQ, Vaze J*, Lane P, Xu SG, (2015). Impact of bushfire and climate variability on streamflow from forested catchments in southeast Australia. Hydrological Sciences Journal, doi: 10.1080/02626667.2014.961923.  (IF = 3.942)

[108]  Zhang YQ*, Vaze J, Chiew FHS, Li M, (2015). Comparing flow duration curve and rainfall–runoff modelling for predicting daily runoff in ungauged catchments, Journal of Hydrology, 525, 72-86. (IF = 6.708)

[109]  Pe?a-Arancibia JL*, Zhang YQ, Pagendam DE, Viney NR, Lerat J, van Dijk AIJM, Vaze J, (2015). Representation of streamflow uncertainty and impacts on rainfall-runoff calibration and prediction. Environmental Modelling and Software. 63, 32-44. (IF = 5.471)

[110]  Zhang YQ*, Vaze J, Chiew FHS, Teng J, Li M, (2014). Predicting hydrological signatures in ungauged catchments using spatial interpolation, index model, and rainfall–runoff modelling. Journal of Hydrology, 517, 6239-948. (IF = 6.708)

[111]  Li FP, Zhang YQ*, Xu ZX, Liu CM, Zhou YC, Liu WF, (2014). Runoff Predictions in ungauged catchments in southeast Tibetan Plateau, Journal of Hydrology, 511, 28-38. (IF = 6.708)

[112]  Li FP, Xu ZX*, Liu WF, and Zhang YQ, (2014). The impact of climate change on runoff in the Yarlung Tsangpo River Basin in the Tibetan Plateau, Stoch Environ Res Risk Assess, 28: 517-526. (IF = 3.379)

[113]  Mueller B*, Hirschi M, Jimenez C, Ciais P, Dirmeyer P A, Dolman AJ, Fisher JB, Jung M, Ludwig F, Maignan F, Miralles D, McCabe MF, Reichstein M, Sheffield J, Wang KC, Wood EF, Zhang YQ, Seneviratne SI, (2013). Benchmark products for land evapotranspiration: LandFlux-EVAL multi-dataset synthesis. Hydrology and Earth System Sciences, 10, 769–805. (IF = 6.617ESI TOP 1% highly cited paper)

[114]  Schwalm CR*, Huntinzger DN, Michalak AM, Fisher JB, Kimball JS, Mueller B, Zhang K, Zhang YQ, (2013). Sensitivity of inferred climate model skill to choice of benchmarking datasets and evaluation decisions, Environmental Research Letters, 8 (2), 024028. (IF = 6.947)

[115]  Zhang HQ*, Pak B, Wang Y. P., Zhou XY, Zhang YQ, Zhang L, (2013) Evaluating Surface Water Cycle Simulated by the Australian Community Land Surface Model (CABLE) at Different Spatial and Temporal scales, Journal of Hydrometeorology, 14,1119-1139. (IF = 4.871)

[116]  Li FP, Zhang YQ*, Xu ZX, Teng J, Liu CM, Mpelasoka F, Liu WF, (2013). Climate change impact on runoff in southeast Tibetan Plateau, Journal of Hydrology, 505,188-201. (IF = 6.708)

[117]  Zhou YC, Zhang YQ*, Vaze J, Lane P, Xu S, (2013). Improving runoff estimates using remote sensing vegetation data for bushfire impacted catchments, Agricultural and Forest Meteorology, 182-183,332-341. (IF = 6.424)

[118]  Zhou XY, Zhang YQ*, Wang YP, Zhang HQ, Zhang L, Vaze J., Yang YH, Zhou XY, (2012). Benchmarking global land surface models against observed mean annual runoff from 150 large basins. Journal of Hydrology, 470-471, 269-279. (IF = 6.708)

[119]  Li H, Zhang YQ*, Vaze J, Wang B, (2012). Separating effects of vegetation change and climate variability using hydrological modelling and sensitivity-based approaches.  Journal of Hydrology, 420-421, 403-418. (IF = 6.708)

[120]  Zhang YQ*, Leuning R, Chiew FHS, Wang EL, Zhang L, Liu CM, Sun FB, Peel MC, Shen YJ, Jung M, (2012), Decadal trends in evaporation from global energy and water balances. Journal of Hydrometeorology, 13, 379-391. (IF = 4.871)

[121]  Luo J, Wang E*, Shen S, Zheng H, Zhang Y. (2012). Effects of conditional parameterization on performance of rainfall-runoff model regarding hydrologic non-stationarity. Hydrological Processes 26, 3953-3961, doi:10.1002/hyp.8420. IF = 3.784)

[122]  Li CZ, Zhang L*, Wang H, Zhang YQ, Yu FL, and Yan DH. (2012). The transferability of hydrological models under nonstationary climatic conditions, Hydrol. Earth Syst. Sci., 8, 8701-8736, doi:10.5194/hessd-8-8701-2011. (IF = 6.617)

[123]  Pan XY, Zhang Lu*, Potter N, Xia J, Zhang YQ, (2011). Probabilistic modelling of soil moisture dynamics of irrigated cropland in the North China Plain. Hydrological Sciences Journal, 56(1): 123-137. (IF = 3.942)

[124]  Li H Y, Zhang YQ*, Wang BD, (2012). Separating impacts of vegetation change and climate variability on streamflow using hydrological models together with vegetation data. Science China -Technological Sciences, 55(7), 1964-1972. (IF = 3.572)

[125]  Glenn EP*, Doody TM, Guerschman JP, Huete AR, King EA, McVicar TR, Van Dijk, AIJM, Van Niel TG, Yebra M, Zhang YQ, (2011). Actual evapotranspiration estimation by ground and remote sensing methods: the Australian experience. Hydrological Processes, doi: 10.1002/hyp.8391. IF = 3.784)

[126]  Wang E*, Zhang YQ, Luo J, Chiew F, Wang Q. (2011). Monthly and seasonal streamflow forecasts using rainfall-runoff modeling and historical weather data. Water Resources Research, 47: W05516, 13 PP. doi: 10.1029/2010WR009922. (IF = 6.160)

[127]  Mueller B*, Seneviratne S, Jimenez C, Corti T, Hirschi M, Balsamo G, Clais P, Dirmeyer P, Fisher J, Guo Z, Jung M, Maignan F, McCabe M, Reichle R, Reichstein M, Rodell M, Sheffield J, Teuling A, Wang K, Wood E, and Zhang Y. (2011). Evaluation of global observations-based evapotranspiration datasets and IPCC AR4 simulations. Geophysical Research Letters, 38 (L06402):, 7 pp. doi: 10.1029/2010GL046230. (IF = 5.576ESI TOP 1% highly cited paper)

[128]  Sun FB, Roderick ML*, Farquhar GD, Lim WH, Zhang YQ, Bennett N, Roxburgh SH (2010). Partitioning the variance between space and time, Geophysical Research Letters, 37, L12704, doi:10.1029/2010GL043323. (IF = 5.576)

[129]  Zhang YQ*, Leuning R., Hutley LB., Beringer J., McHugh I., Walker JP (2010). Using of long-term water balances to parameterize surface conductance and calculate evaporation at 0.050 spatial resolution, Water Resources Research, 46, W0512, doi: doi:10.1029/2009WR008716. (IF = 6.160)

[130]  Sun HY, Shen YJ*, Yu Q, Gerald F, Zhang YQ, Liu CM, Zhang XY (2010). Effect of precipitation change on water balance and WUE of the winter wheat –summer maize rotation in the North China Plain, Agricultural Water Management, doi:10.1016/j.agwat.2009.06.004. (IF = 6.611)

[131]  Chen C, Wang EL*, Yu Q, Zhang YQ, (2010). Quantifying the effects of climate trend in the past 43 years (1961-2003) on crop yield and water demand in the North China Plain, Climatic Change 100, 559-578. (IF = 4.743)

[132]  Yu JJ, Zhang YQ*, Liu CM, (2009). Validation of the Bouchet’s complementary relationship at 102 observatories across China, Science in China – Series D, 52, 708-713. (IF = 4.368)

[133]  Zhang YQ*, Chiew FHS, (2009). Relative merits of three different methods for runoff predictions in ungauged catchments, Water Resources Research, DOI: 10.1029/2008WR007504. (IF = 6.160)

[134]  Zhang YQ*, Chiew FHS, Zhang L, Li H, (2009). Use of remotely sensed actual evapotranspiration to improve rainfall-runoff modelling in southeast Australia, Journal of Hydrometeorology, DOI: 10.1175/2009JHM1061.1. (IF = 4.871)

[135]  Li HX, Zhang YQ*, Chiew F, Xu S, (2009). Predicting runoff in ungauged catchments by using Xinanjiang model with MODIS leaf area index, Journal of Hydrology, 370, 155-162, DOI: 10.1016/j.jhydrol.2009.03.003. (IF = 6.708)

[136]  Zhang L*, Potter N, Hickel K, Zhang YQ, Shao QX, (2008). Water balance modeling over variable time scales based on the Budyko framework: I. Model development and testing, Journal of Hydrology, 360 (no 1-4), 117-131, DOI: 10.1016/j.jhydrol.2008.07.021. (IF = 6.708)

[137]  Zhang YQ*, Chiew FHS, Zhang L, Leuning R, Cleugh H, (2008). Estimating catchment evaporation and runoff using MODIS leaf area index and the Penman-Monteith equation, Water Resources Research, 44, W10420, DOI: 10.1029/2007WR006563. (IF = 6.160)

[138]  Leuning R*, Zhang YQ, Rajaud A, Cleugh H, Tu K, (2008). A simple surface conductance model to estimate regional evaporation using MODIS leaf area index and the Penman-Monteith equation, Water Resources Research, 44, W10419, DOI:10.1029/2007WR006562. (IF = 6.160)

[139]  Zhang YQ*, Yu Q, Jiang J, Tang YH, (2008). Calibration of Terra/MODIS gross primary production over an irrigated cropland on the North China Plain and an alpine meadow on the Tibetan Plateau. Global Change Biology, 14, 757 -767. (IF = 13.210)

[140]  Zhang YQ*, Liu CM, Tang YH, Yang YH, (2007). Trends in pan evaporation and reference and actual evapotranspiration across the Tibetan Plateau. Journal of Geophysical Research: Atmospheres, 112, D12110, DOI: 10.1029/2006/2006JD008161.  (IF = 5.217)

[141]  Zhang YQ*, Tang YH, Jiang J, Yang YH, (2007). Characterizing the dynamics of soil organic carbon in grasslands on the Qinghai-Tibetan Plateau. Science in China (Series D), 50, 113-120. (IF = 4.368)

[142]  Zhang YQ*, Liu CM, Lei YP, Tang Y, Yu Q, Shen Y, Sun H, (2006). An integrated algorithm for estimating regional latent heat flux and daily evapotranspiration. International Journal of Remote Sensing, 27, 129-152. (IF = 3.531)

[143]  Zhang YQ*, Wegehenkel M, (2006).  Integration of MODIS data into a simple model for the spatial distributed simulation of soil water content and evapotranspiration. Remote Sensing of Environment, 104, 393-408. (IF = 13.850)

[144]  Sun HY*, Liu CM, Zhang XY, Shen YJ, Zhang YQ, (2006). Effects of irrigation on water balance, yield and WUE of winter wheat in the North China Plain, Agricultural Water Management, 85, 211-218. (IF = 6.611)

[145]  Zhang YQ*, Tang YH, (2005). Inclusion of photoinhibition in simulation of carbon dynamics of an alpine meadow on the Qinghai-Tibetan Plateau. Journal of Geophysical Research-Biogesciences, 110, G01007, DOI: 10. 1029/2005JG000021. (IF = 4.430)

[146]  Zhang YQ*, Yu Q, Liu CM, Wang J, (2005). Simulation of CO2 and latent heat fluxes in the North China Plain. Science in China (Series D), 48 supp I, 172-181. (IF = 4.368)

[147]  Zhang YQ*, Liu CM, Yu Q, Shen YJ, Kendy E, Kondoh A, Tang CY, Sun HY, (2004). Energy fluxes and the Pristley-Taylor parameter over winter wheat and maize in the North China Plain. Hydrological Processes, 18, 2235-2246. IF = 3.784)

[148]  Kendy E*, Zhang YQ, Liu CM, Wang JX, Steenhuis TS, (2004). Groundwater recharge from irrigated cropland in the North China Plain: Case study of Luancheng County, Hebei Province, 1949-2000. Hydrological Processes, 18, 2289- 2302. IF = 3.784)

[149]  Shen YJ*, Zhang YQ, Kondoh A, Tang CY, Chen JY, Xiao JY, Sakura Y, Liu CM, Li WQ, Sun HY, (2004). Seasonal variation of energy partitioning in an irrigated land. Hydrological Processes, 18, 2223- 2234. IF = 3.784)

[150]  Zhang YQ*, Kendy E, Yu Q, Liu CM, Shen YJ, Sun HY, (2004). Effect of soil water deficit on evapotranspiration, crop yield, and water use efficiency in the North China Plain. Agricultural Water Management, 64, 107-122. (IF = 6.611)

[151]  Yu Q*, Zhang YQ, Liu YF, Shi PL, (2004). Simulation of the stomatal conductance of winter wheat in response to light, temperature and CO2 changes. Annals of Botany, 93 (4), 435-441. (IF = 5.040)

[152]  Kendy E*, Marchant PG, Walter MT, Zhang YQ, Liu CM, Steenhuis TS, (2003). A soil-water balance approach to quantify groundwater recharge from irrigated cropland in the North China Plain. Hydrological Processes, 17, 2011-2031. IF = 3.784)

[153]  Zhang YQ*, Liu CM, Shen YJ, Kondoh A, Tang CY, Tanaka T, Shimada J, (2002). Measurement of evapotranspiration in a winter wheat field. Hydrological Processes,16, 2805-2817. IF = 3.784)

[154]  Liu CM*, Zhang XY, Zhang YQ, (2002). Determination of daily evaporation and evapotranspiration of winter wheat and maize by large-scale weighing lysimeter and micro-lysimeter. Agricultural and Forest Meteorology,111, 109-120. (IF = 6.424)

[155]  Shen YJ*, Kondoh A, Tang CY, Zhang YQ, Chen JY, Li WQ, Sakura Y, Liu CM, Tanaka T, Shimada J, (2002). Measurement and analysis of evapotranspiration and surface conductance of a wheat canopy. Hydrological Processes, 16, 2173-2187. IF = 3.784)

[156]  Yu Q*, Liu JD, Zhang YQ, Li J, (2002). Simulation of rice biomass accumulation by an extended logistic model including influence of meteorological factors. International Journal of Biometeorology, 46, 185-191 (IF = 3.738)

Major Research Projects:

1. Large-scale megadroughts: propagations, scenario projections and smart system, the National Key Research and Development Program of China, the Ministry of Science and Technology of China.

2. Greening impacts on hydrological processes under complex land surface conditions, National Natural Science Foundation of China

3. Regional and global hydrology, Talent Program of the Chinese Academy of Sciences

Office Address:

Room 926, Building No. A, IGSNRR

An Wai, 11A Datun Road

Chaoyang District, Beijing 100101

People’s Republic of China

Telephone: 86-10-6485-6515

Fax: 86-10-6488-9306

Email: zhangyq@igsnrr.ac.cn

Updated on December 8, 2022

Copyright Institute of Geographic Sciences and Natural Resources Research, CAS
Address: 11A, Datun Road ,Chaoyang District, Beijing, 100101, China   Email: weboffice@igsnrr.ac.cn