Works matching IS 13504827 AND DT 2023 AND VI 30 AND IP 5
Results: 14
Statistical post‐processing of visibility ensemble forecasts.
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- Meteorological Applications, 2023, v. 30, n. 5, p. 1, doi. 10.1002/met.2157
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Influence of climatic conditions on Normalized Difference Vegetation Index variability in forest in Poland (2002–2021).
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- Meteorological Applications, 2023, v. 30, n. 5, p. 1, doi. 10.1002/met.2156
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Modification of standardized precipitation index in different climates of Iran.
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- Meteorological Applications, 2023, v. 30, n. 5, p. 1, doi. 10.1002/met.2155
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Performance variations of global precipitation products in detecting drought episodes in three wet seasons in Ethiopia: Part II—statistical analysis.
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- Meteorological Applications, 2023, v. 30, n. 5, p. 1, doi. 10.1002/met.2154
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Testing the suitability of Marginal Distribution Sampling as a gap‐filling method using some meteorological data from seven sites in West Africa.
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- Meteorological Applications, 2023, v. 30, n. 5, p. 1, doi. 10.1002/met.2152
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Comparison between statistical and dynamical downscaling of rainfall over the Gwadar‐Ormara basin, Pakistan.
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- Meteorological Applications, 2023, v. 30, n. 5, p. 1, doi. 10.1002/met.2151
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Verification of satellite and model products against a dense rain gauge network for a severe flooding event in Kumasi, Ghana.
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- Meteorological Applications, 2023, v. 30, n. 5, p. 1, doi. 10.1002/met.2150
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Detecting agricultural drought risks: A case study of the rice crop (Oryza sativa) and the TAMSAT‐ALERT system in Guyana.
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- Meteorological Applications, 2023, v. 30, n. 5, p. 1, doi. 10.1002/met.2149
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Understanding your audience: The influence of social media user‐type on informational behaviors and hazard adjustments during Hurricane Dorian.
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- Meteorological Applications, 2023, v. 30, n. 5, p. 1, doi. 10.1002/met.2148
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Climate zones in Iran.
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- Meteorological Applications, 2023, v. 30, n. 5, p. 1, doi. 10.1002/met.2147
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Rainy season and crop calendars comparison between past (1950–2018) and future (2030–2100) in Madagascar.
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- Meteorological Applications, 2023, v. 30, n. 5, p. 1, doi. 10.1002/met.2146
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C3S Energy: A climate service for the provision of power supply and demand indicators for Europe based on the ERA5 reanalysis and ENTSO‐E data.
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- Meteorological Applications, 2023, v. 30, n. 5, p. 1, doi. 10.1002/met.2145
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Projection of future precipitation change using CMIP6 multimodel ensemble based on fusion of multiple machine learning algorithms: A case in Hanjiang River Basin, China.
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- Meteorological Applications, 2023, v. 30, n. 5, p. 1, doi. 10.1002/met.2144
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- Article
Issue Information.
- Published in:
- Meteorological Applications, 2023, v. 30, n. 5, p. 1, doi. 10.1002/met.2072
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- Article