Meng MengDaoyi GongYunfei LanQichao Yao...
820-830页查看更多>>摘要：The recent increase of regional wildfire occurrences has been associated with climate change.In this study,we investigated the association between the February to March wildfire points and burned area in the southern region of China(20°N-30°N and 105°E-1 15°E)and the simultaneous Arctic Oscillation(AO)index during 2001-2022 and 2001-2020,respectively.After removing the El Nino-Southern Oscillation and Indian Ocean Dipole signals,time series of the regional mean fire points and burned area over the study area is significantly correlated with the AO index at-0.37 and-0.47,significant at the 0.1 level.Precipitation significantly affects wildfire variations.The positive AO could trigger a southeastward Rossby wave train and induce anomalous cyclone activity approximately located in the area encompassed by 15°N-27°N and 85°E-100°E.This outcome could help to enhance the southern branch trough and results in positive precipitation anomalies in southern China.This increasing moisture is conductive to reducing wildfire risks,vice versa.Our results are potentially useful for strengthening the understanding of the mechanisms of wildfire occurrences in southern China.
Ziyuan ZhouYing GuoDan ChenKaiwei Li...
831-851页查看更多>>摘要：Due to global climate anomalies,the intensity and spatial extent of weather and climate extremes have increased notably.Therefore,extreme events must be studied to ensure agricultural production.In this study,the growing season accumulated temperature above 10 ℃(GSAT10)was used as the climate regionalization index for maize in the Songliao Plain region,and the study area was divided into three climate zones.The standardized precipitation requirement index(SPRI)and standard-ized temperature index(STI)were introduced to analyze the spatial and temporal patterns of drought,waterlogging,and heat during the maize growing season from May to September using meteorological station data from the Songliao Plain between 1991 and 2020.The compound event magnitude indices were constructed by modeling the marginal distribution to detect the patterns of compound drought and heat events(CDHEs)and compound waterlogging and heat events(CWHEs),and to assess their potential impacts on maize production.The results show that:(1)The major meteorological disasters in the Songliao Plain region were drought and heat.The areas with prolonged high temperatures were similar to the areas with higher severity of temperature extremes,and were mainly concentrated in the central and southern parts of the study area(Zone 3).(2)The CWHEs mainly occurred in the northern part of the study area(Zones 1 and 2),and the CDHEs predomi-nantly occurred in the central and southern parts of the study area.(3)For most sites on the Songliao Plain,the duration,severity,and intensity of compound extreme events were positively correlated with relative meteorological yield(Yw).Maize yield reduction was significantly affected by the CDHEs.
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