Font Size: a A A

Characteristics Of Rainfall In Mid-summer Over Shandong Province And Its Diagnostic Analyses

Posted on:2005-03-22Degree:MasterType:Thesis
Country:ChinaCandidate:J LiFull Text:PDF
GTID:2120360125465758Subject:Science of meteorology
Abstract/Summary:PDF Full Text Request
China is one of frail cliaate region in the world , flood and drought occur frequencly and bring seriour disasters. Natural environBen in Shandong is different from other region, ocean and land setting is special, these situations influence rainfall over Shandong, then flood/drought in Shandong has special characters itself. Mid-summer is the very period which has the Bost during Bost of summers , and its rainfall plays an important role in flood/drought in a year, but study about it is rarely. This report is based on rainfall data in Shandong during mid-suBmer and 5-days Beans data froa NCEP/NCAR, analyse cliaate characters aboutrainfall during Bid-summer in Shandong , many statistical methods are applied to this part, Yamamoto' s analysis, for example. The rainfall data during midsummber in Shandong is converted into index grades with the means of Z index, then flood and drought years are distincted each other. The results of EOF analysis of the rainfall during mid-summer indicate:Spatial distribution of the first characteristic vecter is consistent in all areas;the second characteristic vecter which is positive (negative) anomaly in north east, and is negative(positive) anomaly in south west, the third characteristic vecter is north south anomaly, the fourth characteristic vecter is midst anomaly, at the same time, it is studied that relation between extreme flood and drought during aid sumer in Shandong and height, divegence anomaly at low and higt levels. During analyzing data of extreme flood / drought and OLR over tropical ocean at and before this period, we found there is significant positive correlation between them, it is a valuable information to predict flood and drought during mid-summer in Shandong.
Keywords/Search Tags:mid-summer, extreme flood and drought, 5-days analyzing data from NCEP/NCAR
PDF Full Text Request
Related items