The characteristics of clusters of weather and extreme climate events in China during the past 50 years

2012 ◽  
Vol 21 (1) ◽  
pp. 019201 ◽  
Author(s):  
Ping Yang ◽  
Wei Hou ◽  
Guo-Lin Feng
2016 ◽  
Vol 12 (9) ◽  
pp. 1879-1888 ◽  
Author(s):  
Shanna Lyu ◽  
Zongshan Li ◽  
Yuandong Zhang ◽  
Xiaochun Wang

Abstract. A ring-width series was used as a proxy to reconstruct the past 414-year record of April–July minimum temperature at Laobai Mountain, northeast China. The chronology was built using standard tree-ring procedures for providing comparable information in this area while preserving low-frequency signals. By analyzing the relationship between the tree-ring chronology of Korean pine (Pinus koraiensis) and meteorological data, we found that the standard chronology was significantly correlated with the April–July minimum temperature (r =  0.757, p < 0.01). Therefore, the April–July minimum temperature since 1600 (more than six trees, but the expressed population signal (EPS) is greater than 0.85 since 1660) was reconstructed by this tree-ring series. The reconstruction equation accounted for 57.3 % of temperature variation, and it was proved reliable by testing with several methods (e.g., sign test, product mean test, reduction of the error, and coefficient of efficiency). Reconstructed April–July minimum temperature on Laobai Mountain showed six major cold periods (1605–1616, 1645–1677, 1684–1691, 1911–1924, 1930–1942, and 1951–1969) and seven major warm periods (1767–1785, 1787–1793, 1795–1807, 1819–1826, 1838–1848, 1856–1873, and 1991–2008) during the past 414 years. The reconstructed low-temperature periods in the 17th and early 18th century were consistent with the Little Ice Age (LIA) in the Northern Hemisphere, and the rate of warming in the 19th century was significantly slower than that in the late 20th century. In addition, the reconstructed series was fairly consistent with the historical and natural disaster records of extreme climate events (e.g., cold damage and frost disaster) in this area. This temperature record provides new evidence of past climate variability, and can be used to predict the climate trend in the future in northeast China.


2016 ◽  
Author(s):  
S. Lyu ◽  
Z. Li ◽  
Y. Zhang ◽  
X. Wang

Abstract. A ring-width series was used as a proxy to reconstruct the past 413-year record of April-July minimum temperature at Laobai Mountain, northeastern China. Chronology was built using standard tree-ring procedures for providing comparable information in this area while preserving low-frequency signals. By analyzing the relationship between the tree-ring chronology of the Korean pine (Pinus koraiensis) and meteorological data, we found that the standard chronology was significantly correlated with the April-July minimum temperature (r = 0.76). Therefore, the April-July minimum temperature since 1600 was reconstructed by this tree-ring series. The reconstruction equation accounted for 57.3 % of temperature variation, and it proved reliable by testing with several methods (e.g., sign test, product mean test, reduction of error, and coefficient error). Reconstructed April-July minimum temperature in Laobai Mountains showed five cool periods (1605–1681, 1684–1690, 1747–1756, 1914–1922, and 1953–1966) and eight warm periods (1697–1704, 1767–1785, 1787–1793, 1795–1801, 1803–1808, 1816–1826, 1835–1878, and 1987–2008) during the past 413 years. The reconstructed low temperature periods in the 17th and early 18th century were consistent with the Little Ice Age in the Northern Hemisphere, and the rate of warming in the 19th century was significantly slower than that in late 20th century. In addition, the reconstructed series was fairly consistent with the historical and natural disaster records of extreme climate events (e.g., cold damage and frost disaster) in this area, and it exhibited 128-60-, 23-22-, 12-10-, 4.0-2.7-, and 2.4-year periods of warm-cool changes, which may be related to variations in sunspot activity or other large-scale interactions between the ocean and the atmosphere.


2017 ◽  
Vol 23 (10) ◽  
pp. 4045-4057 ◽  
Author(s):  
Ross E. Boucek ◽  
Michael R. Heithaus ◽  
Rolando Santos ◽  
Philip Stevens ◽  
Jennifer S. Rehage

2019 ◽  
Vol 96 ◽  
pp. 669-683 ◽  
Author(s):  
Enliang Guo ◽  
Jiquan Zhang ◽  
Yongfang Wang ◽  
Lai Quan ◽  
Rongju Zhang ◽  
...  

PLoS ONE ◽  
2014 ◽  
Vol 9 (10) ◽  
pp. e109126 ◽  
Author(s):  
Selena Ahmed ◽  
John Richard Stepp ◽  
Colin Orians ◽  
Timothy Griffin ◽  
Corene Matyas ◽  
...  

Ecology ◽  
2019 ◽  
Vol 100 (2) ◽  
pp. e02578 ◽  
Author(s):  
Martina Dal Bello ◽  
Luca Rindi ◽  
Lisandro Benedetti‐Cecchi

2021 ◽  
Vol 15 (3) ◽  
pp. e0009182
Author(s):  
Cameron Nosrat ◽  
Jonathan Altamirano ◽  
Assaf Anyamba ◽  
Jamie M. Caldwell ◽  
Richard Damoah ◽  
...  

Climate change and variability influence temperature and rainfall, which impact vector abundance and the dynamics of vector-borne disease transmission. Climate change is projected to increase the frequency and intensity of extreme climate events. Mosquito-borne diseases, such as dengue fever, are primarily transmitted by Aedes aegypti mosquitoes. Freshwater availability and temperature affect dengue vector populations via a variety of biological processes and thus influence the ability of mosquitoes to effectively transmit disease. However, the effect of droughts, floods, heat waves, and cold waves is not well understood. Using vector, climate, and dengue disease data collected between 2013 and 2019 in Kenya, this retrospective cohort study aims to elucidate the impact of extreme rainfall and temperature on mosquito abundance and the risk of arboviral infections. To define extreme periods of rainfall and land surface temperature (LST), we calculated monthly anomalies as deviations from long-term means (1983–2019 for rainfall, 2000–2019 for LST) across four study locations in Kenya. We classified extreme climate events as the upper and lower 10% of these calculated LST or rainfall deviations. Monthly Ae. aegypti abundance was recorded in Kenya using four trapping methods. Blood samples were also collected from children with febrile illness presenting to four field sites and tested for dengue virus using an IgG enzyme-linked immunosorbent assay (ELISA) and polymerase chain reaction (PCR). We found that mosquito eggs and adults were significantly more abundant one month following an abnormally wet month. The relationship between mosquito abundance and dengue risk follows a non-linear association. Our findings suggest that early warnings and targeted interventions during periods of abnormal rainfall and temperature, especially flooding, can potentially contribute to reductions in risk of viral transmission.


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