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Do ERA5 and ERA5-land precipitation estimates outperform satellite-based precipitation products? A comprehensive comparison between state-of-the-art model-based and satellite-based precipitation products over mainland China
Do ERA5 and ERA5-land precipitation estimates outperform satellite-based precipitation products? A comprehensive comparison between state-of-the-art model-based and satellite-based precipitation products over mainland China
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Do ERA5 and ERA5-land precipitation estimates outperform satellite-based precipitation products? A comprehensive comparison between state-of-the-art model-based and satellite-based precipitation products over mainland China

Xu, Jintao ; Ma, Ziqiang ; Yan, Songkun ; Peng, Jie

Journal of hydrology (Amsterdam), 2022-02, Vol.605, p.127353, Article 127353 [Periódico revisado por pares]

Elsevier B.V

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Improving streamflow prediction in the WRF-Hydro model with LSTM networks
Improving streamflow prediction in the WRF-Hydro model with LSTM networks
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Improving streamflow prediction in the WRF-Hydro model with LSTM networks

Cho, Kyeungwoo ; Kim, Yeonjoo

Journal of hydrology (Amsterdam), 2022-02, Vol.605, p.127297, Article 127297 [Periódico revisado por pares]

Elsevier B.V

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3
Short-term runoff prediction with GRU and LSTM networks without requiring time step optimization during sample generation
Short-term runoff prediction with GRU and LSTM networks without requiring time step optimization during sample generation
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Short-term runoff prediction with GRU and LSTM networks without requiring time step optimization during sample generation

Gao, Shuai ; Huang, Yuefei ; Zhang, Shuo ; Han, Jingcheng ; Wang, Guangqian ; Zhang, Meixin ; Lin, Qingsheng

Journal of hydrology (Amsterdam), 2020-10, Vol.589, p.125188, Article 125188 [Periódico revisado por pares]

Elsevier B.V

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4
A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods
A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods
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A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods

Khosravi, Khabat ; Shahabi, Himan ; Pham, Binh Thai ; Adamowski, Jan ; Shirzadi, Ataollah ; Pradhan, Biswajeet ; Dou, Jie ; Ly, Hai-Bang ; Gróf, Gyula ; Ho, Huu Loc ; Hong, Haoyuan ; Chapi, Kamran ; Prakash, Indra

Journal of hydrology (Amsterdam), 2019-06, Vol.573, p.311-323 [Periódico revisado por pares]

Elsevier B.V

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5
An enhanced extreme learning machine model for river flow forecasting: State-of-the-art, practical applications in water resource engineering area and future research direction
An enhanced extreme learning machine model for river flow forecasting: State-of-the-art, practical applications in water resource engineering area and future research direction
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An enhanced extreme learning machine model for river flow forecasting: State-of-the-art, practical applications in water resource engineering area and future research direction

Yaseen, Zaher Mundher ; Sulaiman, Sadeq Oleiwi ; Deo, Ravinesh C. ; Chau, Kwok-Wing

Journal of hydrology (Amsterdam), 2019-02, Vol.569, p.387-408 [Periódico revisado por pares]

Elsevier B.V

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6
Evaluation of the ERA5 reanalysis precipitation dataset over Chinese Mainland
Evaluation of the ERA5 reanalysis precipitation dataset over Chinese Mainland
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Evaluation of the ERA5 reanalysis precipitation dataset over Chinese Mainland

Jiang, Qin ; Li, Weiyue ; Fan, Zedong ; He, Xiaogang ; Sun, Weiwei ; Chen, Sheng ; Wen, Jiahong ; Gao, Jun ; Wang, Jun

Journal of hydrology (Amsterdam), 2021-04, Vol.595, p.125660, Article 125660 [Periódico revisado por pares]

Elsevier B.V

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7
Predicting flood susceptibility using LSTM neural networks
Predicting flood susceptibility using LSTM neural networks
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Predicting flood susceptibility using LSTM neural networks

Fang, Zhice ; Wang, Yi ; Peng, Ling ; Hong, Haoyuan

Journal of hydrology (Amsterdam), 2021-03, Vol.594, p.125734, Article 125734 [Periódico revisado por pares]

Elsevier B.V

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8
Cotransport of heavy metals and SiO2 particles at different temperatures by seepage
Cotransport of heavy metals and SiO2 particles at different temperatures by seepage
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Cotransport of heavy metals and SiO2 particles at different temperatures by seepage

Bai, Bing ; Nie, Qingke ; Zhang, Yike ; Wang, Xiaolong ; Hu, Wei

Journal of hydrology (Amsterdam), 2021-06, Vol.597, p.125771, Article 125771 [Periódico revisado por pares]

Elsevier B.V

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9
Machine learning methods for better water quality prediction
Machine learning methods for better water quality prediction
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Machine learning methods for better water quality prediction

Najah Ahmed, Ali ; Binti Othman, Faridah ; Abdulmohsin Afan, Haitham ; Khaleel Ibrahim, Rusul ; Ming Fai, Chow ; Shabbir Hossain, Md ; Ehteram, Mohammad ; Elshafie, Ahmed

Journal of hydrology (Amsterdam), 2019-11, Vol.578, p.124084, Article 124084 [Periódico revisado por pares]

Elsevier B.V

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10
A review of remote sensing applications in agriculture for food security: Crop growth and yield, irrigation, and crop losses
A review of remote sensing applications in agriculture for food security: Crop growth and yield, irrigation, and crop losses
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A review of remote sensing applications in agriculture for food security: Crop growth and yield, irrigation, and crop losses

Karthikeyan, L. ; Chawla, Ila ; Mishra, Ashok K.

Journal of hydrology (Amsterdam), 2020-07, Vol.586, p.124905, Article 124905 [Periódico revisado por pares]

Elsevier B.V

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