Multi-week prediction of South-East Asia rainfall variability during boreal summer in CFSv2

Verfasser / Beitragende:
[Ren-Feng Liu, Wanqiu Wang]
Ort, Verlag, Jahr:
2015
Enthalten in:
Climate Dynamics, 45/1-2(2015-07-01), 493-509
Format:
Artikel (online)
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024 7 0 |a 10.1007/s00382-014-2401-4  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s00382-014-2401-4 
245 0 0 |a Multi-week prediction of South-East Asia rainfall variability during boreal summer in CFSv2  |h [Elektronische Daten]  |c [Ren-Feng Liu, Wanqiu Wang] 
520 3 |a In this paper we analyze the multi-week prediction bias and skill from the National Centers for Environment Prediction (NCEP) Climate Forecast System version 2 (CFSv2) based on its hindcasts for 1999-2012. The analyses focus on the prediction of the rainfall variability over South-East Asia during boreal warm seasons and the dependence of the prediction on the activity of intrasesaonal leading modes. It is shown that the prediction skill measured by anomaly correlation is comparable between the total anomalies and intraseasonal anomalies during the first 2weeks. After week 2, the prediction skill drops substantially and the skill for total anomalies is largely from the prediction for the interannual variability. Moreover, the forecast skill tends to be higher when the amplitude of the Madden-Julian Oscillation and the Boreal Summer Intraseasonal Oscillation (BSISO) is larger, especially for the BSISO. It is noted that the prediction skill over South-East Asia depends on the phase of the BSISO. One deficiency in the CFSv2 is that the northward propagation of the forecast BSISO is generally slower than the observed. 
540 |a Springer-Verlag (outside the USA), 2014 
690 7 |a Multi-week prediction  |2 nationallicence 
690 7 |a Boreal summer intraseasonal oscillation  |2 nationallicence 
690 7 |a Monthly forecast  |2 nationallicence 
690 7 |a Intraseasonal variability  |2 nationallicence 
700 1 |a Liu  |D Ren-Feng  |u Central Weather Bureau (CWB), Taipei, Taiwan  |4 aut 
700 1 |a Wang  |D Wanqiu  |u CPC/NCEP/NWS/NOAA, Center for Weather and Climate Prediction, 5830 University Research Court, Room 3004, 20740, College Park, MD, USA  |4 aut 
773 0 |t Climate Dynamics  |d Springer Berlin Heidelberg  |g 45/1-2(2015-07-01), 493-509  |x 0930-7575  |q 45:1-2<493  |1 2015  |2 45  |o 382 
856 4 0 |u https://doi.org/10.1007/s00382-014-2401-4  |q text/html  |z Onlinezugriff via DOI 
898 |a BK010053  |b XK010053  |c XK010000 
900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s00382-014-2401-4  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Liu  |D Ren-Feng  |u Central Weather Bureau (CWB), Taipei, Taiwan  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Wang  |D Wanqiu  |u CPC/NCEP/NWS/NOAA, Center for Weather and Climate Prediction, 5830 University Research Court, Room 3004, 20740, College Park, MD, USA  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Climate Dynamics  |d Springer Berlin Heidelberg  |g 45/1-2(2015-07-01), 493-509  |x 0930-7575  |q 45:1-2<493  |1 2015  |2 45  |o 382