scholarly journals Tree Rings Reveal a 700-Year Record of Flooding in Bangladesh

Eos ◽  
2021 ◽  
Vol 102 ◽  
Author(s):  
Mukund Rao ◽  
Benjamin Cook
Keyword(s):  
Tree Rings ◽  
Climate Modeling ◽  
Brahmaputra River ◽  
Flood Risks

Trees tell of a wetter past along the Brahmaputra River and, combined with climate modeling, suggest heightened future flood risks in one of the world’s most densely populated areas.

scholarly journals Precipitation variations recorded in tree rings from the upper Salween and Brahmaputra River valleys, China

2020 ◽  
Vol 113 ◽  
pp. 106189 ◽  
Author(s):  
Youping Chen ◽  
Mary H. Gagen ◽  
Feng Chen ◽  
Heli Zhang ◽  
Huaming Shang ◽  
...  
Keyword(s):  
Tree Rings ◽  
Brahmaputra River ◽  
River Valleys

scholarly journals Tree Rings Record 19th-Century Anthropogenic Climate Change

Eos ◽  
2019 ◽  
Vol 100 ◽  
Author(s):  
Mary Morton
Keyword(s):  
Climate Change ◽  
Observational Data ◽  
19Th Century ◽  
Human Activity ◽  
Tree Rings ◽  
Climate Modeling ◽  
Anthropogenic Climate Change ◽  
Paleoclimate Records ◽  
Temperature Seasonality

Paleoclimate records, observational data, and climate modeling capture the influence of human activity on temperature seasonality.

Bright sparks reveal invisible tree rings

Nature ◽  
2006 ◽  
Author(s):  
Quirin Schiermeier
Keyword(s):  
Tree Rings

Intra-annual variation in δ13C from tree rings of Pinus sylvestris var. mongolica and its response to climatic factors

2013 ◽  
Vol 36 (12) ◽  
pp. 1256-1267
Author(s):  
Zhi-Yuan SHANG ◽  
Jian WANG ◽  
Ming-Xing CUI ◽  
Zhen-Ju CHEN
Keyword(s):  
Pinus Sylvestris ◽  
Tree Rings ◽  
Annual Variation ◽  
Climatic Factors

CLIMATOLOGY OF EXTREME RAINFALL EVENTS IN EASTERN AND NORTHERN SANTA CATARINA STATE, BRAZIL: PRESENT AND FUTURE CLIMATE

2013 ◽  
Vol 31 (3) ◽  
pp. 413 ◽  
Author(s):  
André Becker Nunes ◽  
Gilson Carlos Da Silva
Keyword(s):  
Climate Model ◽  
Climate Modeling ◽  
Linear Trend ◽  
Extreme Rainfall ◽  
Eastern Region ◽  
Santa Catarina ◽  
Extreme Rainfall Events ◽  
Rainfall Events ◽  
History Of ◽  
Santa Catarina State

ABSTRACT. The eastern region of Santa Catarina State (Brazil) has an important history of natural disasters due to extreme rainfall events. Floods and landslides are enhancedby local features such as orography and urbanization: the replacement of natural surface coverage causing more surface runoff and, hence, flooding. Thus, studies of this type of events – which directly influence life in the towns – take on increasing importance. This work makes a quantitative analysis of occurrences of extreme rainfall events in the eastern and northern regions of Santa Catarina State in the last 60 years, through individual analysis, considering the history of floods ineach selected town, as well as an estimate through to the end of century following regional climate modeling. A positive linear trend, in most of the towns studied, was observed in the results, indicating greater frequency of these events in recent decades, and the HadRM3P climate model shows a heterogeneous increase of events for all towns in the period from 2071 to 2100.Keywords: floods, climate modeling, linear trend. RESUMO. A região leste do Estado de Santa Catarina tem um importante histórico de desastres naturais ocasionados por eventos extremos de precipitação. Inundações e deslizamentos de terra são potencializados pelo relevo acidentado e pela urbanização das cidades da região: a vegetação nativa vem sendo removida acarretando um maior escoamento superficial e, consequentemente, em inundações. Desta forma, torna-se de suma importância os estudos acerca deste tipo de evento que influencia diretamente a sociedade em geral. Neste trabalho é realizada uma análise quantitativa do número de eventos severos de precipitação ocorridos nas regiões leste e norte de Santa Catarina dos últimos 60 anos, por meio de uma análise pontual, considerandoo histórico de inundações de cada cidade selecionada, além de uma projeção para o fim do século de acordo com modelagem climática regional. Na análise dos resultados observou-se uma tendência linear positiva na maioria das cidades, indicando uma maior frequência deste tipo de evento nas últimas décadas, e o modelo climático HadRM3P mostra um aumento heterogêneo no número de eventos para todas as cidades no período de 2071 a 2100.Palavras-chave: inundações, modelagem climática, tendência linear.

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