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Spatiotemporal Variability of Channel Roughness and its Substantial Impacts on Flood Modeling Errors
by
Al Mehedi, Md Abdullah
,
Saki, Shah
,
Patel, Krutikkumar
,
Shen, Chaopeng
,
Cohen, Sagy
,
Smith, Virginia
,
Rajib, Adnan
,
Anagnostou, Emmanouil
,
Bindas, Tadd
,
Lawson, Kathryn
Published in
Earth's future
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Deep learning insights into suspended sediment concentrations across the conterminous United States: Strengths and limitations
by
Song, Yalan
,
Chaemchuen, Piyaphat
,
Rahmani, Farshid
,
Zhi, Wei
,
Li, Li
,
Liu, Xiaofeng
,
Boyer, Elizabeth
,
Bindas, Tadd
,
Lawson, Kathryn
,
Shen, Chaopeng
Published in
Journal of hydrology (Amsterdam)
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Improving River Routing Using a Differentiable Muskingum‐Cunge Model and Physics‐Informed Machine Learning
by
Bindas, Tadd
,
Tsai, Wen‐Ping
,
Liu, Jiangtao
,
Rahmani, Farshid
,
Feng, Dapeng
,
Bian, Yuchen
,
Lawson, Kathryn
,
Shen, Chaopeng
Published in
Water resources research
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Differentiable modeling to unify machine learning and physical models and advance Geosciences
by
Shen, Chaopeng
,
Appling, Alison P
,
Gentine, Pierre
,
Bandai, Toshiyuki
,
Gupta, Hoshin
,
Tartakovsky, Alexandre
,
Baity-Jesi, Marco
,
Fenicia, Fabrizio
,
Kifer, Daniel
,
Li, Li
,
Liu, Xiaofeng
,
Ren, Wei
,
Zheng, Yi
,
Harman, Ciaran J
,
Clark, Martyn
,
Farthing, Matthew
,
Feng, Dapeng
,
Kumar, Praveen
,
Aboelyazeed, Doaa
,
Rahmani, Farshid
,
Beck, Hylke E
,
Bindas, Tadd
,
Dwivedi, Dipankar
,
Kuai Fang
,
Höge, Marvin
,
Rackauckas, Chris
,
Roy, Tirthankar
,
Xu, Chonggang
,
Mohanty, Binayak
,
Lawson, Kathryn
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arXiv.org
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