NDLI: Improving extreme precipitation forecasts in Rio de Janeiro, Brazil: are synoptic patterns efficient for distinguishing ordinary from heavy rainfall episodes?

Content Provider	Scilit
Author	Dolif, Giovanni Nobre, Carlos
Copyright Year	2012
Description	Journal: Atmospheric Science Letters
Related Links	https://onlinelibrary.wiley.com/doi/pdf/10.1002/asl.385
Ending Page	222
Page Count	7
Starting Page	216
ISSN	1530261X
e-ISSN	1530261X
DOI	10.1002/asl.385
Journal	Atmospheric Science Letters
Issue Number	3
Volume Number	13
Language	English
Publisher	Wiley-Blackwell
Publisher Date	2012-07-01
Access Restriction	Open
Subject Keyword	Journal: Atmospheric Science Letters Research and Experimental Medicine Heavy Rainfall Forecast Rio De Janeiro Artificial Neural Network Adaptive Resonance Theory
Content Type	Text
Resource Type	Article
Subject	Atmospheric Science

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Improving extreme precipitation forecasts in Rio de Janeiro, Brazil: are synoptic patterns efficient for distinguishing ordinary from heavy rainfall episodes?