Guobin Fu

Dr. Guobin Fu

CSIRO Land and Water, Private Bag 5, Wembley 6913, Australia
orcid

Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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25 November 2012 in Nature Climate Change
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Journal Article
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Rupert Quentin GraftonRupert Quentin Grafton
Rupert Quentin Grafton
JPJamie Pittock
Jamie Pittock
RDRichard Davis
Richard Davis
JWJohn Williams
John Williams
Guobin FuGuobin Fu
Guobin Fu
JQJohn Quiggin
John Quiggin

24 November 2007 in Water Resources Research
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Journal Article
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Guobin FuGuobin Fu
Guobin Fu
SCStephen P. Charles
Stephen P. Charles
FCFrancis H. S. Chiew
Francis H. S. Chiew

1 July 2004 in Climatic Change
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Journal Article
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Guobin FuGuobin Fu
Guobin Fu
SCShulin Chen
Shulin Chen
CLChangming Liu
Changming Liu
DSDawn Shepard
Dawn Shepard

1 August 2012 in Journal of Hydrology
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Journal Article
Closed access
ZBZhenxin Bao
Zhenxin Bao
JZJianyun Zhang
Jianyun Zhang
GWGuoqing Wang
Guoqing Wang
Guobin FuGuobin Fu
Guobin Fu
RHRuimin He
Ruimin He
AZAijing Zhang
Aijing Zhang

1 July 2016 in Journal of Hydrology
Verified
Journal Article
Open access
WLWenbin Liu
Wenbin Liu
LWLei Wang
Lei Wang
JZJing Zhou
Jing Zhou
YLYanzhong Li
Yanzhong Li
FSFubao Sun
Fubao Sun
YSYan-Fang Sang
Yan-Fang Sang
SummaryEvapotranspiration (ET) plays a critical role in linking the water and energy cycles but is difficult to estimate at regional and basin scales. In this study, we present a worldwide evaluation of nine ET products (three diagnostic products, three land surface model (LSM) simulations and three reanalysis-based products) against reference ET (ETwb) calculated using the water balance method corrected for the water storage change at an annual time scale over the period 1983–2006 for 35 global river basins. The results indicated that there was no significant intra-category discrepancy in the annual ET estimates for the 35 basins calculated using the different products in 35 basins, but some products performed better than others, such as the Global Land surface Evaporation estimated using the Amsterdam Methodology (GLEAM_E) in the diagnostic products, ET obtained from the Global Land Data Assimilation System version 1 (GLDAS 1) with the Community Land Model scheme (GCLM_E) in LSM simulations, and ET from the National Aeronautics and Space Administration (NASA) Modern Era Retrospective-analysis for Research and Applications reanalysis dataset (MERRA_E) in the reanalysis-based products. Almost all ET products (except MERRA_E) reasonably estimated the annual means (especially in the dry basins) but systematically underestimated the inter-annual variability (except for MERRA_E, GCLM_E and ET simulation from the GLDAS 1 with the MOSAIC scheme – GMOS_E) and could not adequately estimate the trends (e.g. GCLM_E and MERRA_E) of ETwb (especially in the energy-limited wet basins). The uncertainties in nine ET products may be primarily attributed to the discrepancies in the forcing datasets and model structural limitations. The enhancements of global forcing data (meteorological data, solar radiation, soil moisture stress and water storage changes) and model physics (reasonable consideration of the water and energy balance and vegetation processes such as canopy interception loss) will undoubtedly improve the estimation of global ET in the future

18 March 2012 in Water Resources Management
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Journal Article
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AZAijing Zhang
Aijing Zhang
CZChi Zhang
Chi Zhang
Guobin FuGuobin Fu
Guobin Fu
BWBende Wang
Bende Wang
ZBZhenxin Bao
Zhenxin Bao
HZHongxing Zheng
Hongxing Zheng