Variability of extreme summer precipitation over Circum-Bohai-Sea region during 1961–2008

Jiang, Dejuan; Wang, Kun; Li, Bingbing; Wang, Qiuxian

doi:10.1007/s00704-010-0369-5

Cited by 19 publications

(19 citation statements)

References 26 publications

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“…Circles denote selected 357 meteorological stations used in this study. The shade in the bottom-right figure is the study area, i.e., Eastern China performed to remove errors from the observation data set, such as missing data and negative daily precipitation values (Jiang et al 2011). The homogeneity of precipitation data series for each station is assessed using the RHtests_dlyPrcp software package available from the website of the joint Meteorological Organization CCL/CLIVAR/JCOMM Expert Team on Climate Change Detection and Indices (ETCCDI) (http://cccma.seos.uvic.ca/ETCCDI) (Wang et al 2010).…”

Section: Methodsmentioning

confidence: 99%

“…A significant positive correlation between growing season NDVI and RD95p exists in a larger area of CircumBohai-Sea region. Because this region is one of the places where the shortage of water resource is most severe in China (Jiang et al 2011), extreme precipitation events can boost plant growth and increase the maximum value of NDVI. In contrast, correlations between growing season NDVI and RINTEN differ from that between growing season NDVI and PRETOT.…”

Section: Correlations Between Growing Season Ndvi and Precipitationmentioning

confidence: 99%

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Interannual variability and correlation of vegetation cover and precipitation in Eastern China

Jiang

Zhang

et al. 2013

Theor Appl Climatol

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Based on the SPOT/VEGETATION Normalized Difference Vegetation Index (NDVI) data and daily precipitation data of 357 meteorological stations, the spatial and temporal variability of vegetation cover, measured by NDVI, and precipitation as well as their relationships are investigated in Eastern China, which is portioned into three subregions (regions I, II, and III), for the period 1998-2010. The results show that high NDVI values appear mainly in Northeastern China and in August while high precipitation (PRETOT) occurs in Southeastern China and in July (June for Southern China). Extreme precipitation days (RD95p) and amount (EPRETOT) coincide well with PRETOT. Extreme precipitation intensity (RINTEN) has a similar spatial variability to PRETOT but with a smaller seasonal variation than PRETOT. Growing season NDVI is positively correlated with PRETOT in 11.7 % of the study area (mostly in arid to subhumid regions of Northern China), where precipitation is a limiting factor for vegetation growth. In contrast, a negative correlation between growing season NDVI and PRETOT is found in 4.8 % of the study area, mostly in areas around the Yangtze River and deep Northeastern China. No significant correlations between these two variables are found for the other regions because vegetation response to precipitation is affected by other factors such as temperature, radiation, and human disturbance. On a monthly scale, there is a positive correlation between NDVI and PRETOT in May (for region II) and September (all subregions except region I). NDVI variations lag 1 month behind PRETOT in June (for region I) and October. Correlations between NDVI and RD95p, EPRETOT are similar to that with PRETOT, but the relationships between NDVI and RINTEN are relatively weaker than with PRETOT. This study provides the technical basis for agriculture development and ecological construction in Eastern China.

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Section: Methodsmentioning

confidence: 99%

Section: Correlations Between Growing Season Ndvi and Precipitationmentioning

confidence: 99%

Interannual variability and correlation of vegetation cover and precipitation in Eastern China

Jiang

Zhang

et al. 2013

Theor Appl Climatol

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“…Durante muitos séculos, a humanidade tem desenvolvido uma boa compreensão da frequência de eventos climáticos extremos e as localizações geográficas onde eles são mais prováveis de acontecer. Os eventos extremos de tempo e clima têm atraído muito a atenção nos últimos anos, devido aos seus potenciais impactos na vida humana, economia social e ecossistemas naturais (Jiang et al, 2011). Os impactos das mudanças climáticas são sentidos mais fortemente através das variações de extremos.…”

Section: Introductionunclassified

Tendências de Índices de Extremos Climáticos para o Estado do Amazonas e suas Relações com a TSM dos Oceanos Tropicais

Santos

Melo

Brito

2016

Rev. bras. meteorol.

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Esse estudo teve como objetivo principal analisar as tendências de onze índices de extremos climáticos dependentes da precipitação diária para o Estado do Amazonas, dividindo-o em quatro mesorregiões, bem como, analisar suas relações com as anomalias de TSM nos Oceanos Pacífico (ENOS) e Atlântico (Dipolo do Atlântico). Os dados de precipitação pluviométrica diários, para o período de 1970-2010 IntroduçãoEventos climáticos extremos podem ocorrer de muitas formas diferentes, por exemplo, como inundações, secas prolongadas e ondas de calor. Durante muitos séculos, a humanidade tem desenvolvido uma boa compreensão da frequência de eventos climáticos extremos e as localizações geográficas onde eles são mais prováveis de acontecer. Os eventos extremos de tempo e clima têm atraído muito a atenção nos últimos anos, devido aos seus potenciais impactos na vida humana, economia social e ecossistemas naturais (Jiang et al., 2011). Os impactos das mudanças climáticas são sentidos mais fortemente através das variações de extremos. O IPCC (2013) mostra que muitos estudos regionais têm analisado as mudanças nos extremos climáticos e têm, geralmente, identificado que as temperaturas mínimas têm aumentado mais rápido do que às máximas.A precipitação está entre as variáveis climáticas mais relevantes, principalmente nos trópicos, e, investigar o comportamento dos extremos de chuva em escala regional Revista Brasileira de Meteorologia, v. 31, n.

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“…However, temperature extremes were not noted and few indicators were used to explain the changes of precipitation extremes. Jiang et al (2011) investigated the variability of precipitation extremes over Circum-Bohai-Sea region using eight precipitation indices of total precipitation amount, extreme precipitation days, intensity, proportion, the maximum consecutive wet and dry days, the maximum 1-day and 5-day precipitation, but only summer season was analyzed.…”

Section: Introductionmentioning

confidence: 99%

Trends in temperature and precipitation extremes over Circum-Bohai-Sea region, China

Jiang

Wang

2012

Chin. Geogr. Sci.

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Trends in temperature and precipitation extremes from 1961 to 2008 have been investigated over Circum-Bohai-Sea region, China using daily temperature and precipitation data of 63 meteorological stations. The results show that at most stations, there is a significant increase in the annual frequency of warm days and warm nights, as well as a significant decrease in the annual frequency of cold days, cold nights, frost days, and annual diurnal temperature range (DTR). Their regional averaged changes are 2.06 d/10yr, 3.95 d/10yr, -1.88 d/10yr, -4.27 d/10yr, -4.21 d/10yr and -0.20℃/10yr, respectively. Seasonal changes display similar patterns to the annual results, but there is a large seasonal difference. A significant warming trend is detected at both annual and seasonal scales, which is more contributed by changes of indices defined by daily minimum temperature than those defined by daily maximum temperature. For precipitation indices, the regional annual extreme precipitation displays a weak decrease in terms of magnitude and frequency, i.e. extreme precipitation days (RD95p), intensity (RINTEN), proportion (RPROP) and maximum consecutive wet days (CWD), but a slight increase in the maximum consecutive dry days (CDD), which are consistent with changes of annual total precipitation (PRCPTOT). Seasonally, PRCPTOT and RD95p both exhibit an increase in spring and a decrease in other seasons with the largest decrease in summer, but generally not significant. In summary, this study shows a pronounced warming tendency at the less rainy period over Circum-Bohai-Sea region, which may affect regional economic development and ecological protection to some extent.

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Variability of extreme summer precipitation over Circum-Bohai-Sea region during 1961–2008

Cited by 19 publications

References 26 publications

Interannual variability and correlation of vegetation cover and precipitation in Eastern China

Interannual variability and correlation of vegetation cover and precipitation in Eastern China

Tendências de Índices de Extremos Climáticos para o Estado do Amazonas e suas Relações com a TSM dos Oceanos Tropicais

Trends in temperature and precipitation extremes over Circum-Bohai-Sea region, China

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