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1
Coordinate-Transformed Dynamic Mode Decomposition for Short-Term Rainfall Forecasting
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Coordinate-Transformed Dynamic Mode Decomposition for Short-Term Rainfall Forecasting

Zheng, Shitao ; Miyamoto, Takashi ; Shimizu, Shingo ; Kato, Ryohei ; Iwanami, Koyuru

IEEE transactions on geoscience and remote sensing, 2024, Vol.62, p.1-17 [Periódico revisado por pares]

New York: IEEE

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2
Enhanced Meiyu‐Baiu Rainfall in Early Summer 2020: Aftermath of the 2019 Super IOD Event
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Enhanced Meiyu‐Baiu Rainfall in Early Summer 2020: Aftermath of the 2019 Super IOD Event

Takaya, Yuhei ; Ishikawa, Ichiro ; Kobayashi, Chiaki ; Endo, Hirokazu ; Ose, Tomoaki

Geophysical research letters, 2020-11, Vol.47 (22), p.n/a [Periódico revisado por pares]

Washington: John Wiley & Sons, Inc

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3
Record‐Breaking Meiyu Rainfall Around the Yangtze River in 2020 Regulated by the Subseasonal Phase Transition of the North Atlantic Oscillation
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Record‐Breaking Meiyu Rainfall Around the Yangtze River in 2020 Regulated by the Subseasonal Phase Transition of the North Atlantic Oscillation

Liu, Boqi ; Yan, Yuhan ; Zhu, Congwen ; Ma, Shuangmei ; Li, Jianying

Geophysical research letters, 2020-11, Vol.47 (22), p.n/a [Periódico revisado por pares]

Washington: John Wiley & Sons, Inc

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4
What Is the Added Value of a Convection-Permitting Model for Forecasting Extreme Rainfall over Tropical East Africa?
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What Is the Added Value of a Convection-Permitting Model for Forecasting Extreme Rainfall over Tropical East Africa?

Woodhams, Beth J. ; Birch, Cathryn E. ; Marsham, John H. ; Bain, Caroline L. ; Roberts, Nigel M. ; Boyd, Douglas F. A.

Monthly weather review, 2018-09, Vol.146 (9), p.2757-2780 [Periódico revisado por pares]

Washington: American Meteorological Society

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5
RainNet v1.0: a convolutional neural network for radar-based precipitation nowcasting
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RainNet v1.0: a convolutional neural network for radar-based precipitation nowcasting

Ayzel, Georgy ; Scheffer, Tobias ; Heistermann, Maik

Geoscientific Model Development, 2020-06, Vol.13 (6), p.2631-2644 [Periódico revisado por pares]

Katlenburg-Lindau: Copernicus GmbH

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6
Coupling Physical Factors for Precipitation Forecast in China With Graph Neural Network
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Coupling Physical Factors for Precipitation Forecast in China With Graph Neural Network

Chen, Yutong ; Wang, Ya ; Huang, Gang ; Tian, Qun

Geophysical research letters, 2024-01, Vol.51 (2), p.n/a [Periódico revisado por pares]

Washington: John Wiley & Sons, Inc

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7
Impact of Cloud Microphysics on the Development of Trailing Stratiform Precipitation in a Simulated Squall Line : Comparison of One-and Two-Moment Schemes
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Impact of Cloud Microphysics on the Development of Trailing Stratiform Precipitation in a Simulated Squall Line : Comparison of One-and Two-Moment Schemes

MORRISON, H ; THOMPSON, G ; TATARSKII, V

Monthly weather review, 2009-03, Vol.137 (3), p.991-1007 [Periódico revisado por pares]

Boston, MA: American Meteorological Society

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8
An Improved Rainfall Forecasting Model Based on GNSS Observations
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An Improved Rainfall Forecasting Model Based on GNSS Observations

Zhao, Qingzhi ; Liu, Yang ; Ma, Xiongwei ; Yao, Wanqiang ; Yao, Yibin ; Li, Xin

IEEE transactions on geoscience and remote sensing, 2020-07, Vol.58 (7), p.4891-4900 [Periódico revisado por pares]

New York: IEEE

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9
Scale-Selective Verification of Rainfall Accumulations from High-Resolution Forecasts of Convective Events
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Scale-Selective Verification of Rainfall Accumulations from High-Resolution Forecasts of Convective Events

ROBERTS, Nigel M ; LEAN, Humphrey W

Monthly weather review, 2008, Vol.136 (1), p.78-97 [Periódico revisado por pares]

Boston, MA: American Meteorological Society

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10
Rainfall Nowcasting Using Commercial Microwave Links
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Rainfall Nowcasting Using Commercial Microwave Links

Imhoff, R. O. ; Overeem, A. ; Brauer, C. C. ; Leijnse, H. ; Weerts, A. H. ; Uijlenhoet, R.

Geophysical research letters, 2020-10, Vol.47 (19), p.n/a [Periódico revisado por pares]

Washington: John Wiley & Sons, Inc

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