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Observed Trends in Northeast Brazil Mean and Extreme Precipitation

Date post: 17-Feb-2016
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Observed Trends in Northeast Brazil Mean and Extreme Precipitation. Brant Liebmann NOAA Earth System Research Laboratory and University of Colorado Boulder, Colorado, USA Leila M. V. Carvalho University of California at Santa Barbara Ileana Bladé - PowerPoint PPT Presentation
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Observed Trends in Northeast Brazil Mean and Extreme Precipitation Brant Liebmann NOAA Earth System Research Laboratory and University of Colorado Boulder, Colorado, USA Leila M. V. Carvalho University of California at Santa Barbara Ileana Bladé University of Barcelona, Barcelona, Spain Dave Allured NOAA Earth System Research Laboratory and University of Colorado Charles Jones University of California at Santa Barbara 0.5 degree grid
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Page 1: Observed Trends in Northeast Brazil  Mean and Extreme Precipitation

Observed Trends in Northeast Brazil Mean and Extreme Precipitation

Brant LiebmannNOAA Earth System Research Laboratory

and University of ColoradoBoulder, Colorado, USA

Leila M. V. CarvalhoUniversity of California at Santa Barbara

Ileana Bladé University of Barcelona, Barcelona, Spain

Dave Allured NOAA Earth System Research Laboratory

and University of Colorado

Charles JonesUniversity of California at Santa Barbara

Station Data:Agência Nacional de Águas (Brasil)

FUNCEME (Ceará, Brasil)0.5 degree grid

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Trend in mm/year

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Change = Trend * (Length of Segment)

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Page 8: Observed Trends in Northeast Brazil  Mean and Extreme Precipitation

(mm/length)

0.5 degree grid 1.0 degree grid

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Page 10: Observed Trends in Northeast Brazil  Mean and Extreme Precipitation

Changes in Daily Extreme Events

• Most previous studies have used arbitrary threshold to define extreme daily value (e.g., 95th percentile)

- Does not weigh huge event more than one barely above threshold

In present study, we compute a time series of daily squared values from gridded data (not variance)

Problems:- Not clear whether squared value is appropriate amplifier- Sensitive to errors in data, particularly accumulated values

Advantages:- Threshold for ‘extreme’ is not arbitrary- Weighting increases for larger values

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Summary

• Annual Average Precipitation Varies by a Factor of 5 Across Northeast Brazil

• Most of Domain Has Summer Maximum; East Coast Maximum in Winter

• Trends Are Sensitive to Range of Dates Used in Calculation

• Index Computed of Squared Daily Values in Order to Emphasize Large Events

• Often, Changes in Squares Mimic Changes in Mean

• In Some Locations, Mean Precipitation has Decreased While ‘Extremes’ have Increased


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