1 / 22

North America - Better understand variations of wet season (1966 - 2001)

Brant Liebmann - CIRES Jose A. Marengo CPTEC Brazil Dave Allured - CIRES Leila Carvalho - University of Sao Paulo Gary Bates - CIRES Carolina S. Vera - University of Buenos Aires Nick Bond - JISAO, Seattle, Washington David Gochis - NCAR Ileana Blade - University of Barcelona

liona
Télécharger la présentation

North America - Better understand variations of wet season (1966 - 2001)

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Brant Liebmann - CIRES Jose A. Marengo CPTEC Brazil Dave Allured - CIRES Leila Carvalho - University of Sao Paulo Gary Bates - CIRES Carolina S. Vera - University of Buenos Aires Nick Bond - JISAO, Seattle, Washington David Gochis - NCAR Ileana Blade - University of Barcelona Suzana Camargo - IRI, Palisades, New York Rong Fu - Georgia Tech Anji Seth - University of Connecticut North America - Better understand variations of wet season (1966 - 2001) South America - Compare observed precipitation with that from 24 member average of ECHAM 4.5 Atmospheric Model (1976-2001) Onset and End of the Wet Season in the Americas and comparisons with the ECHAM 4.5 Atmospheric General Circulation Model

  2. We wish to thank the following agencies for providing the data used in this study: Agência Nacional de Águas (Brasil) Agência Nacional Energia Elétrica (Brasil) U.T.E. Uruguay C.T.M. Salto Grande Servicio Meteorologico Nacional (Argentina, Mexico, Paraguay, Uruguay) FUNCEME (Ceará, Brasil) U.S. National Climatic Data Center IAPAR - SIMEPAR (Paraná, Brasil) DAEE (São Paulo, Brasil) Minesterio del Ambiente y los Recursos Naturales (Venezuela) Meteorogische Dienst Suriname METEO-France ASANA (Bolivia)

  3. Annual Total Precipitation

  4. A = ‘Anomalous Accumulation’ R = daily rainfall = Annual daily average

  5. length start end

  6. May - September Total Precipitation correlation

  7. Compare Observed South American Precipitation with that from 24 member average of ECHAM 4.5 Atmospheric Model 1976-2001 Observations and model at same resolution ~ 2.8° x 2.8° Model: T42 horizontal; 19 vertical

  8. Annual Total Precipitation

  9. Difference in Annual Total (model minus observations) What is the cause of the bias in annual totals?

  10. Average Onset Date Jul Oct Apr Jan Jun Dec Feb Mar Nov Aug Sep May

  11. Length of Rainy Season

  12. Model Length Minus Observed Length

  13. Improvement or Worsening by Substitution

  14. Variance of Annual Total Explained: by Wet Season Length by Wet Season Rate OBSERVATIONS

More Related