Interannual variation of the diurnal convection cycle in the western North Pacific

2005 ◽  
Vol 90 (1-2) ◽  
pp. 67-75 ◽  
Author(s):  
M.-C. Yen
2014 ◽  
Vol 41 (12) ◽  
pp. 4332-4339 ◽  
Author(s):  
Xi Cao ◽  
Tim Li ◽  
Melinda Peng ◽  
Wen Chen ◽  
Guanghua Chen

2005 ◽  
Vol 14 (3) ◽  
pp. 210-222 ◽  
Author(s):  
KAZUAKI TADOKORO ◽  
SANAE CHIBA ◽  
TSUNEO ONO ◽  
TAKASHI MIDORIKAWA ◽  
TOSHIRO SAINO

2021 ◽  
Author(s):  
Daquan Zhang ◽  
Lijuan Chen

Abstract Compared with total account of basin-wide tropical cyclones (TC) genesis, the prevailing tracks of TC activity and its potential of landfalling is more important for disaster prevention. Despite its relatively lower predictability, a statistical-dynamical hybrid prediction model was developed based on the knowledge of the physical mechanism between western North Pacific (WNP) TC activity and related large-scale environmental fields from July to September. The leading modes of spatial-temporal variation of WNP TC tracks density its climatological peak season (July to September) was extracted using empirical orthogonal function (EOF) decomposition. The interannual variation of leading EOF modes of WNP TC track density was predicted using multiple linear regressions (MLR) method based on predictors selected by correlation analysis of both observational and Beijing Climate Center climate system model version 1.1 (BCC_CSM1.1) hindcast data. The predicted spatial distribution of WNP TC tracks density was obtained through weighted composite of forecasting EOF modes according to its variance explained respectively. Results of one-year-out cross validation indicates that forecast model well captures the interannual variation of WNP TC prevailing moving tracks, especially in South China Sea (SCS) and southeastern quadrant of WNP. The prediction skill enhanced with decreased forecast lead time, with anomaly correlation coefficient (ACC) of northern SCS and southeast quadrant of WNP reaches 0.6 for the period 1991-2020 with one month forecast lead time. Forecast assessment based on different ENSO phases indicate that source of predictability of WNP TC tracks was mainly originate from ENSO events, especially strong El Niño events.


SOLA ◽  
2011 ◽  
Vol 7 ◽  
pp. 169-172 ◽  
Author(s):  
Tomonori Sato ◽  
Akira Juri ◽  
Kei Masuyama ◽  
Eiji Imakita ◽  
Masahide Kimoto

2005 ◽  
Vol 18 (22) ◽  
pp. 4649-4659 ◽  
Author(s):  
Riyu Lu ◽  
Baohua Ren ◽  
Hyo-Sang Chung

Abstract In this study, based on the cases of strong and weak June–August (JJA) mean convection over the tropical western North Pacific, composite analyses are performed by using the satellite-observed outgoing longwave radiation (OLR) data for the 23-yr period from 1979 to 2001, and the contrast features of the composite seasonal evolution of the convection between the strong and weak cases are examined. Anomalous annual cycle and 30–60-day oscillations, that is, two components of the seasonal evolution, and their relative contributions to the anomalous seasonal evolution is analyzed. The authors find that in the composite sense, convection exhibits a larger (smaller) seasonal change during the strong (weak) JJA mean convection summers. The strong (weak) JJA mean convection corresponds to enhanced (suppressed) convection of the annual cycle from the beginning of the year to September, and such a difference in the annual cycle between strong and weak cases is most significant from May to August. On the other hand, the composite 30–60-day oscillations for the strong cases have greater amplitudes than the weak cases, and the phases of the 30–60-day oscillations tend to be more consistent for the strong cases than for the weak cases. Both annual cycle and 30–60-day oscillations contribute to the interannual variation of the seasonal evolution.


2021 ◽  
Author(s):  
Shigeyuki Ishidoya ◽  
Kazuhiro Tsuboi ◽  
Yosuke Niwa ◽  
Hidekazu Matsueda ◽  
Shohei Murayama ◽  
...  

Abstract. We analyzed air samples collected onboard a cargo aircraft C-130 over the western North Pacific from May 2012 to March 2020 for atmospheric δ(O2/N2) and CO2 amount fraction. We corrected for significant artificial fractionation of O2 and N2 caused by thermal diffusion during the air sample collection by using the simultaneously-measured δ(Ar/N2). The observed seasonal cycles of the δ(O2/N2) and atmospheric potential oxygen (δ(APO)) varied nearly in opposite phase to that of the CO2 amount fraction at all latitudes and altitudes. Seasonal amplitudes of δ(APO) decreased with latitude from 34 to 25° N, as well as with increasing altitude from the surface to 6 km by 50–70 %, while those of CO2 amount fraction decreased by less than 20 %. By comparing the observed values with the simulated δ(APO) and CO2 amount fraction values generated by an atmospheric transport model, we found that the seasonal δ(APO) cycle in the middle troposphere was modified significantly by a superposition of the northern and southern hemispheric seasonal cycles due to the inter-hemispheric mixing of air. The simulated δ(APO) underestimated the observed interannual variation in δ(APO) significantly, probably due to the interannual variation in the annual mean air-sea O2 flux. Interannual variation in δ(APO) driven by the net marine biological activities, obtained by subtracting the assumed solubility-driven component of δ(APO) from the total variation, indicated a clear evidence of influence on annual sea-to-air (air-to-sea) marine biological O2 flux during El Niño (La Niña). By analyzing the observed secular trends of δ(O2/N2) and CO2 amount fraction, global average terrestrial biospheric and oceanic CO2 uptakes for the period 2012–2019 were estimated to be (1.8 ± 0.9) and (2.8 ± 0.6) Pg a−1 (C equivalents), respectively.


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