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Wen Wang
Hohai University
PrecipitationGeologyHydrologyClimatologyStreamflow
50Publications
14H-index
1,139Citations
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Publications 50
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#1Xiao-Gang Wang (SYSU: Sun Yat-sen University)
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An accurate estimation of terrestrial evapotranspiration over heterogeneous surfaces using satellite imagery and few meteorological observations remains a challenging task. Wind speed (u), which is known to exhibit high temporal-spatial variation, is a significant constraint in the abovementioned task. In this study, a wind speed-independent two-source energy balance (WiTSEB) model is proposed on the basis of a theoretical land surface temperature (Tr)-fractional vegetation coverage (fc) trapezo...
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#1Shuang Song (Hohai University)
#2Luca Brocca (National Research Council)H-Index: 7
Last. Wei Cui (Hohai University)H-Index: 1
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Abstract An experimental loamy sand soil tank (12m long × 1.5m wide × 1.5m deep) with a slope of 3 ° was designed to conduct artificial rainfall–runoff experiments and continuously monitor soil moisture (SM), rainfall, surface runoff (SR) and subsurface runoff (SSR). A total of 28 rainfall-runoff events are analysed to investigate the capability of estimating rainfall from SM observations through SM2RAIN algorithm which is then adjusted in SM2RAIN-exp according to the conditions of the artificia...
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#1Ye Zhu (NUIST: Nanjing University of Information Science and Technology)H-Index: 4
#2Yi Liu (Hohai University)H-Index: 11
Last. Zhiguo Yu (NUIST: Nanjing University of Information Science and Technology)H-Index: 1
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Abstract Meteorological and hydrological droughts are inherently correlated, but with a time lag. A prolonged precipitation deficiency propagates to surface water bodies and may give rise to hydrological drought in the subsequent time period. Establishing links between these two drought types is of great significance for water resources planning and for developing drought resistant measures. This study proposes a copula-based method employing conditional probability distribution to depict the st...
5 CitationsSource
#1Peng Wang (BU: Boston University)H-Index: 1
#2Dan Li (BU: Boston University)H-Index: 21
Last. Wen Wang (Hohai University)H-Index: 14
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#1Yongwei Liu (CAS: Chinese Academy of Sciences)H-Index: 2
#2Yuanbo Liu (CAS: Chinese Academy of Sciences)H-Index: 15
Last. Wen Wang (Hohai University)H-Index: 14
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Abstract The multi-satellite-retrieved (ESA CCI SM) and the Global Land Data Assimilation System-Noah-simulated (GLDAS-Noah) surface soil moisture (SM) datasets are compared for global drought analysis over a multi-decadal time period (1991–2015). Global drought events and their duration, frequency and severity are assessed on a grid basis with soil moisture anomaly percentage index (SMAPI). The results show that the ESA CCI SM and the GLDAS-Noah based SMAPI values are significantly (p
4 CitationsSource
#1Haicheng Liu (TU Delft: Delft University of Technology)H-Index: 1
#2P.J.M. van Oosterom (TU Delft: Delft University of Technology)H-Index: 32
Last. Wen Wang (Hohai University)H-Index: 14
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Management of large hydrologic datasets including storage, structuring, clustering, indexing, and query is one of the crucial challenges in the era of big data. This research originates from a specific problem: time series extraction at specific locations takes a long time when a large multidimensional (MD) dataset is stored in the NetCDF classic or the 64-bit offset format. The essence of this issue lies in the contiguous storage structure adopted by NetCDF. In this research, NetCDF file-based ...
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#1Jingjing Sun (Hohai University)
#2Wen Wang (Hohai University)H-Index: 14
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Four remote sensing soil moisture (SM) data products (ESA CCI, FY-3B, SMOS/BEC, SMOS/CATDS) across China are evaluated from the aspects of their statistical characteristics (mean value and variation coefficient (CV)), correlations with precipitation and ground based measurements. Further, four products are compared with GLDAS (global land surface data assimilation system) simulated SM products. The results show that ESA CCI performs best among the four satellite products. FY-3B SM is overestimat...
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#1Yongwei Liu (CAS: Chinese Academy of Sciences)H-Index: 2
#2Wen Wang (Hohai University)H-Index: 14
Last. Yuanbo Liu (CAS: Chinese Academy of Sciences)H-Index: 15
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The assimilation of satellite soil moisture (SM) products with coarse resolution is promising in improving rainfall-runoff modeling, but it is largely impacted by the data assimilation (DA) strategy. This study performs the assimilation of a satellite soil moisture product from the European Space Agency (ESA) Climate Change Initiative (CCI) in a physically based semidistributed hydrological model (SWAT) in the upper Huai River basin in China, with the objective to improve its rainfall-runoff sim...
2 CitationsSource
#1Yiyuan TaoH-Index: 1
#2Wen WangH-Index: 1
Last. Jun MaH-Index: 1
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Using the 0.5° × 0.5° gridded Chinese ground precipitation dataset from 1961~2013, spatial and temporal variations in precipitation extremes, total precipitation, the seasonality of precipitation and their linkages in the context of climate change are investigated using the Mann-Kendall trend test, Pettitt change-point test and correlation analysis. The investigation focuses on four extreme indices, i.e., the annual maximum number of consecutive dry days (CDD), the annual maximum number of conse...
4 CitationsSource
#1Yongwei LiuH-Index: 5
#2Wen WangH-Index: 14
Last. Yiming HuH-Index: 8
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4 CitationsSource
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