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Utilization of Specific Attenuation for Rainfall Estimation in Southern China
Utilization of Specific Attenuation for Rainfall Estimation in Southern China
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Utilization of Specific Attenuation for Rainfall Estimation in Southern China

A-si, ZHANG ; Chao-ying, UANG ; Shengo, CHEN ; Peng-fei, ZHANG ; Dong-ming, HU ; Liu-si, XIAO

Journal of Tropical Meteorology, 2021-03, Vol.26 (3), p.48-61 [Periódico revisado por pares]

Guangzhou: Guangzhou Institute of Tropical & Marine Meteorology

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2
A Tiling Approach to Represent Subgrid Snow Variability in Coupled Land Surface–Atmosphere Models
A Tiling Approach to Represent Subgrid Snow Variability in Coupled Land Surface–Atmosphere Models
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A Tiling Approach to Represent Subgrid Snow Variability in Coupled Land Surface–Atmosphere Models

Aas, Kjetil Schanke ; Gisnås, Kjersti ; Westermann, Sebastian ; Berntsen, Terje Koren

Journal of hydrometeorology, 2017-01, Vol.18 (1), p.49-63 [Periódico revisado por pares]

Boston: American Meteorological Society

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3
Temporal flood incidence forecasting for Segamat River (Malaysia) using autoregressive integrated moving average modelling
Temporal flood incidence forecasting for Segamat River (Malaysia) using autoregressive integrated moving average modelling
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Temporal flood incidence forecasting for Segamat River (Malaysia) using autoregressive integrated moving average modelling

Ab Razak, N.H. ; Aris, A.Z. ; Ramli, M.F. ; Looi, L.J. ; Juahir, H.

Journal of flood risk management, 2018-02, Vol.11 (S2), p.S794-S804 [Periódico revisado por pares]

Oxford, UK: Blackwell Publishing Ltd

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4
Forecasting local daily precipitation patterns in a climate change scenario
Forecasting local daily precipitation patterns in a climate change scenario
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Forecasting local daily precipitation patterns in a climate change scenario

Abaurrea, Jesús ; Asín, Jesús

Climate research, 2005-05, Vol.28 (3), p.183-197 [Periódico revisado por pares]

Inter-Research

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5
Assessing 32-Day Hydrological Ensemble Forecasts in the Lake Champlain–Richelieu River Watershed
Assessing 32-Day Hydrological Ensemble Forecasts in the Lake Champlain–Richelieu River Watershed
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Assessing 32-Day Hydrological Ensemble Forecasts in the Lake Champlain–Richelieu River Watershed

Abaza, Mabrouk ; Fortin, Vincent ; Gaborit, Étienne ; Bélair, Stéphane ; Garnaud, Camille

Journal of hydrologic engineering, 2020-10, Vol.25 (10) [Periódico revisado por pares]

New York: American Society of Civil Engineers

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6
Drought monitoring and prediction using SPEI index and gene expression programming model in the west of Urmia Lake
Drought monitoring and prediction using SPEI index and gene expression programming model in the west of Urmia Lake
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Drought monitoring and prediction using SPEI index and gene expression programming model in the west of Urmia Lake

Abbasi, Abbas ; Khalili, Keivan ; Behmanesh, Javad ; Shirzad, Akbar

Theoretical and applied climatology, 2019-10, Vol.138 (1-2), p.553-567 [Periódico revisado por pares]

Vienna: Springer Vienna

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7
Investigation of Atmospheric Conditions Associated with a Storm Surge in the South-West of Iran
Investigation of Atmospheric Conditions Associated with a Storm Surge in the South-West of Iran
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Investigation of Atmospheric Conditions Associated with a Storm Surge in the South-West of Iran

Abbasi, Esmaeil ; Etemadi, Hana ; Smoak, Joseph M. ; Rousta, Iman ; Olafsson, Haraldur ; Baranowski, Piotr ; Krzyszczak, Jaromir

Atmosphere, 2021-11, Vol.12 (11), p.1429 [Periódico revisado por pares]

Basel: MDPI AG

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8
Extreme Rainfall over Complex Terrain: An Application of the Linear Model of Orographic Precipitation to a Case Study in the Italian Pre-Alps
Extreme Rainfall over Complex Terrain: An Application of the Linear Model of Orographic Precipitation to a Case Study in the Italian Pre-Alps
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Extreme Rainfall over Complex Terrain: An Application of the Linear Model of Orographic Precipitation to a Case Study in the Italian Pre-Alps

Abbate, Andrea ; Papini, Monica ; Longoni, Laura

Geosciences (Basel), 2021-01, Vol.11 (1), p.18 [Periódico revisado por pares]

Basel: MDPI AG

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9
Combining deep learning methods and multi-resolution analysis for drought forecasting modeling
Combining deep learning methods and multi-resolution analysis for drought forecasting modeling
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Combining deep learning methods and multi-resolution analysis for drought forecasting modeling

Abbes, Ali Ben ; Inoubli, Raja ; Rhif, Manel ; Farah, Imed Riadh

Earth science informatics, 2023-06, Vol.16 (2), p.1811-1820

Berlin/Heidelberg: Springer Berlin Heidelberg

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10
The Application Of Artificial Intelligence For Monthly Rainfall Forecasting In The Brisbane Catchment, Queensland, Australia
The Application Of Artificial Intelligence For Monthly Rainfall Forecasting In The Brisbane Catchment, Queensland, Australia
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The Application Of Artificial Intelligence For Monthly Rainfall Forecasting In The Brisbane Catchment, Queensland, Australia

Abbot, J ; Marohasy, J

WIT Transactions on Ecology and the Environment, 2013-01, Vol.172, p.125

Southampton: W I T Press

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Deste Autor:

  1. Mendiondo, E
  2. Yang, D
  3. Farias, J
  4. Gonçalves, M
  5. Neale, C

Neste Assunto:

  1. Rainfall
  2. Science & Technology
  3. Physical Sciences
  4. Rain
  5. Weather Forecasting

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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