Dynamical Forecasting
Dynamical Forecasting is a modeling approach within long-range forecasting that simulates future system states by numerically integrating the governing physical equations of the system over time, distinguishing it from statistical or empirical methods by its reliance on mechanistic representations of underlying processes.
191
Publications
10.7K
Citations
585
Authors
338
Institutions
Publications per year
2017–2026
67
Parents
191
The NCEP Climate Forecast System
Subodh Kumar Saha, Sudhir Nadiga, C. Thiaw et al. · Journal of Climate · 2006 · 1.1K citations · Full text
Methodology for long-term prediction of time series
Antti Sorjamaa, Hao Jin, Nima Reyhani et al. · Neurocomputing · 2007 · 436 citations
Computing, Data Science, Forecasting +12
Fractional Neuro-Sequential ARFIMA-LSTM for Financial Market Forecasting
Ayaz Hussain Bukhari, Muhammad Asif Zahoor Raja, Muhammad Sulaiman et al. · IEEE Access · 2020 · 364 citations · Full text
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338

China Meteorological Administration
Beijing, China
6 h-index
9 publications
263 citations
Institute of Atmospheric Physics
Beijing, China
4 h-index
8 publications
352 citations

Chinese Academy of Sciences
Beijing, China
4 h-index
9 publications
416 citations
Lanzhou University
Lanzhou, China
4 h-index
5 publications
133 citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
11 publications
477 citations
National Oceanic and Atmospheric Administration
Washington, United States
4 h-index
17 publications
12.8K citations

Santa Fe Institute
Santa Fe, United States
3 h-index
3 publications
75 citations
Royal Netherlands Meteorological Institute
De Bilt, The Netherlands
3 h-index
4 publications
67 citations
1–8 of 338
11 publications · 357 citations
11
h-index
8 publications · 672 citations
8
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7 publications · 487 citations
7
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5 publications · 422 citations
5
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4 publications · 280 citations
4
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1–5