Wenyu Yang

Dr. Wenyu Yang

orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

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

Representative Publications

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6 March 2025 in Water Research
Verified
Journal Article
Closed access
Wenyu YangWenyu Yang
Wenyu Yang
CSChristian Schmidt
Christian Schmidt
SWShixue Wu
Shixue Wu
ZZZiyong Zhao
Ziyong Zhao
RLRuifei Li
Ruifei Li
Jin ZhangJin Zhang
Jin Zhang

14 March 2022 in Journal of Cleaner Production
Verified
Journal Article
Closed access
Wenyu YangWenyu Yang
Wenyu Yang
Jin ZhangJin Zhang
Jin Zhang
PKPeter Krebs
Peter Krebs


1 October 2021 in Journal of Cleaner Production
Verified
Journal Article
Closed access
Wenyu YangWenyu Yang
Wenyu Yang
Jin ZhangJin Zhang
Jin Zhang
SMShenbin Mei
Shenbin Mei
PKPeter Krebs
Peter Krebs

7 January 2023 in Journal of Cleaner Production
Verified
Journal Article
Closed access
Wenyu YangWenyu Yang
Wenyu Yang
Jin ZhangJin Zhang
Jin Zhang
PKPeter Krebs
Peter Krebs

3 July 2020 in Water
Verified
Journal Article
Open access
PDF file
EAEhtesham Ahmed
Ehtesham Ahmed
FAFiras Aljanabi
Firas Aljanabi
Jin ZhangJin Zhang
Jin Zhang
Wenyu YangWenyu Yang
Wenyu Yang
NSNaeem Saddique
Naeem Saddique
Peter KrebsPeter Krebs
Peter Krebs
Water resources planning and management depend on the quality of climatic data, particularly rainfall data, for reliable hydrological modeling. This can be very problematic in transboundary rivers with limited disclosing of data among the riparian countries. Satellite precipitation products are recognized as a promising source to substitute the ground-based observations in these conditions. This research aims to assess the feasibility of using a satellite-based precipitation product for better hydrological modeling in an ungauged and riparian river in Pakistan, i.e., the Chenab River. A semidistributed hydrological model of The soil and water assessment tool (SWAT) was set up and two renowned satellite precipitation products, i.e., global precipitation mission (GPM) IMERG-F v6 and tropical rainfall measuring mission (TRMM) 3B42 v7, were selected to assess the runoff pattern in Chenab River. The calibration was done from 2001–2006 with two years of a warmup period. The validation (2007–2010) results exhibit higher correlation between observed and simulated discharges at monthly timescale simulations, IMERG-F (R2 = 0.89, NSE = 0.82), 3B42 (R2 = 0.85, NSE = 0.72), rather than daily timescale simulations, IMERG-F (R2 = 0.66, NSE = 0.61), 3B42 (R2 = 0.64, NSE = 0.54). Moreover, the comparison between IMERG-F and 3B42, shows that IMERG-F is superior to 3B42 by indicating higher R2, NSE and lower percent bias (PBIAS) at both monthly and daily timescale. The results are strengthened by Taylor diagram statistics, which represent a higher correlation (R) and less RMS error between observed and simulated values for IMERG-F. IMERG-F has great potential utility in the Chenab River catchment as it outperformed the 3B42 precipitation in this study. However, its poor skill of capturing peaks at daily timescale remains, leaving a room for IMERG-F to improve its algorithm in the upcoming release.