Post-processing of the UKMO ensemble precipitation product over various regions of Iran: integration of long short-term memory model with principal component analysis-Reference-Cited by-同舟云学术

Post-processing of the UKMO ensemble precipitation product over various regions of Iran: integration of long short-term memory model with principal component analysis

Published:2022-08-12 Issue:1-2 Volume:150 Page:453-467
ISSN:0177-798X
Container-title:Theoretical and Applied Climatology
language:en
Short-container-title:Theor Appl Climatol

Author:

Alizadeh Sepideh,Asadollah Seyed Babak Haji Seyed,Sharafati Ahmad^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Atmospheric Science

Link

https://link.springer.com/content/pdf/10.1007/s00704-022-04170-w.pdf

Reference66 articles.

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2. Abdolmanafi A, Saghafian B, Aminyavari S (2020) Evaluation of global ensemble prediction models for forecasting medium to heavy precipitations. Meteorol Atmos Phys. https://doi.org/10.1007/s00703-020-00731-8

3. Abedi M, Shafizadeh-moghadam H (2020) Evaluation of ECMWF mid-range ensemble forecasts of precipitation for the Karun River basin

4. AghaKouchak A, Behrangi A, Sorooshian S, et al (2011) AghaKouchak-evaluation of satellite-retrieved extreme precipitation rates-2011 (2).pdf

5. Alexandersson H, Moberg A (1997) Homogenization of Swedish Temperature Data. Part I : Homogeneity Test for Linear Trends. 17:25–34

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