Precipitation diurnal cycle over Fujian in the presummer rainy season has been revealed based on the hourly rain gauge data during [2009][2010][2011][2012][2013]. The precipitation amount (PA) over northwestern Fujian and most southeast coasts shows relatively small diurnal variability. This is in contrast to large diurnal variations in the mountainous areas. Regional differences in precipitation diurnal cycles are obviously noted among the coastal, valley, hilly, and mountainous areas. The precipitation diurnal cycles are significantly affected by the terrain elevation and distance to coast, PA and precipitation frequency (PF) show much more pronounced double diurnal peaks with the terrain elevation and distance to coast increased. However, the precipitation intensity (PI) basically shows one distinct late afternoon diurnal peak for different elevations and distances to coast. Four typical patterns of precipitation diurnal cycle are further identified by cluster analysis. The four typical PF patterns show relatively apparent morning peaks over coasts, inland mountains, and hills in addition to distinct late afternoon maxima. Low PF with weak diurnal amplitude is mainly located over the coastal areas, while high PF with strong diurnal amplitude is found over the valley, hilly, and mountainous regions. The PA exhibits a weak early morning peak and a relatively strong late afternoon peak over coastal, hilly, or mountainous areas and windward slopes but only one distinct late afternoon peak over the valley regions and leeward slopes. The amplitude of PA diurnal cycle is the weakest over the coastal areas but the strongest over the valley regions or leeward slopes among the four PA patterns. The four PI diurnal cycle patterns consistently show distinct afternoon peaks.
The intraseasonal variability (ISV) of the genesis potential index (GPI) and its relationship with tropical cyclone (TC) genesis over the western North Pacific (WNP) are examined for the summer (May–October) during 1982–2016. The distribution of GPI is separated into three sub‐regions as South China Sea (SCS), western part of WNP (WWNP) and eastern part of WNP (EWNP). All three regions have a statistically significant power spectrum peak in the 10–20‐day period, associated with 20–30‐ and 50–70‐day signals in SCS and 20–30‐day signal in WWNP. The ISV of GPI in the SCS is the most intense among these three regions, whereas the weakest one is in the EWNP. On average, ISVs of GPI (including 10–20‐day, 20–30‐day and 30–70‐day components) account for about 28% of the total variance of GPI. About 83% of TCs form when at least one ISV component is in its wet phase. We further examine the spatial patterns of GPI intraseasonal oscillation (ISO) through empirical orthogonal function (EOF) analysis performed on the 10–90‐day filtered GPI data. There are 61% of TC formations in the first three spatial modes during the typical phases with anomalous PC. The ISV of GPI can indicate the TC sub‐seasonal genesis on both frequency and location. Regression analysis on different time‐scales, which is based on either the three sub‐regions or statistical spatial modes, is able to conclude that oscillations of GPI are associated with ISO signals from different regions: 10–20‐day from WNP; 30–70‐day from Indian Ocean; 20–30‐day from both WNP and Indian Ocean. In the boreal summer, the northward propagation of ISO accompanied with anomalous convection and circulation influences GPI ISO in the WNP, which can be a good indicator for TCs genesis. Such relationship can be applied to develop extended‐range forecasting of tropical cyclogenesis.
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