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Title: Assessment of rainfall variability and future change in Brazil across multiple timescales

Journal Article · · International Journal of Climatology
DOI:https://doi.org/10.1002/joc.6818· OSTI ID:1804828
ORCiD logo [1];  [2];  [3];  [3];  [4]
  1. National Institute for Space Research (INPE) São José dos Campos São Paulo Brazil
  2. Met Office Hadley Centre Exeter UK, Global Systems Institute University of Exeter Exeter UK
  3. Bureau of Meteorology Melbourne Victoria Australia
  4. National Center for Monitoring and Early Warning of Natural Disasters (CEMADEN) São Paulo Brazil

Abstract Rainfall variability change under global warming is a crucial issue that may have a substantial impact on society and the environment, as it can directly impact biodiversity, agriculture, and water resources. Observed precipitation trends and climate change projections over Brazil indicate that many sectors of society are potentially highly vulnerable to the impacts of climate change. The purpose of this study is to assess model projections of the change in rainfall variability at various temporal scales over sub‐regions of Brazil. For this, daily data from 30 CMIP5 models for historical (1900–2005) and future (2050–2100) experiments under a high‐emission scenario are used. We assess the change in precipitation variability, applying a band‐pass filter to isolate variability on daily, weekly, monthly, intra‐seasonal, and El Nino Southern Oscillation (ENSO) time scales. For historical climate, simulated precipitation is evaluated against observations to establish model reliability. The results show that models largely agree on increases in variability on all timescales in all sub‐regions, except on ENSO timescales where models do not agree on the sign of future change. Brazil will experience more rainfall variability in the future that is, drier or more frequent dry periods and wetter wet periods on daily, weekly, monthly, and intra‐seasonal timescales, even in sub‐regions where future changes in mean rainfall are currently uncertain. This may provide useful information for climate change adaptation across, for example, the agriculture and water resource sectors in Brazil.

Sponsoring Organization:
USDOE
OSTI ID:
1804828
Journal Information:
International Journal of Climatology, Journal Name: International Journal of Climatology Vol. 41 Journal Issue: S1; ISSN 0899-8418
Publisher:
Wiley Blackwell (John Wiley & Sons)Copyright Statement
Country of Publication:
United Kingdom
Language:
English

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