Viernes ecpa

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  • Figure 19 – Global distribution of streamgauges: a) as a function of elevation; b) for each elevation as a function of WMO (World Meteorological Organization) regions. [Source: http://www.bafg.de/GRDC/EN]
  • Viernes ecpa

    1. 1. El Nexo Agua-Energia-Desarollo:riesgos naturales y interacciones entreinfraestrutura, clima y paisaje enun marco de adaptacióna multiples escalas Ana P. Barros Duke University Lima, March 22, 2013
    2. 2. Pilares de Adaptación  Observaciones - Rigorosas, Consistentes, Dense, Extensas  Analísis y Interpretación – Representación y modelos Descoberta Ciencia Integración de datos e física >>> Contexto de riesgo Evaluar Vulnerabilidades , “Breaking Points”
    3. 3. Ciclos Climáticos…Dos series con Nilometer 622-1284 A.D.media y variancia H=0.91estadísticas igualesThe idea thatpersistent(0.5<H<1.0) H=0.5 “Ruído Blanco”movements in atime series tend tobe part of largertrends and cyclesmore often than theyare completelyrandom. From Koutsoyannis, 2004 (Mandelbrot and Wallis 1977, Hurst 1951, Barros and Evans 1996)
    4. 4. RenaissanceY de un punto de vista regional,local que significa? Revolución Industrial
    5. 5. Analísis de Riesgo – Infraestrutura Presa Construída ?Note la influencia de la duración del periodo de observación
    6. 6. Green, Renewable Energy “Gran Muralla Andina” India: Plans to build 292 hydroelectric dams in the Himalayas Environmental Services Conectividad Hidrologica Conectividad Ecologica Material (Sedimentos, Nutrientes) Sustainability /Climate Finer and Jenkins, 2012
    7. 7. Endicamientos Naturales : Formación y Falla Penna e al. 2012) HidroAgoyan Dam, Pastaza River, Ecuador
    8. 8. Changing Mix of Stations: Raingauge Stations Over Time(NOAA GHCN Dataset) New et al. 2001 Courtesy David Easterling, NOAA- NCDC
    9. 9. GHCN-Monthly Version 3.0• The dataset for global climate monitoring and assessment – 7280 mean temperature stations; >20,000 precipitation stations – Global coverage from 1880 to present – GHCN-M Version 3 released in 2010 (temperature only) Courtesy David Easterling, NOAA- NCDC
    10. 10. Estaciones hydrométricasa) Barros 2012
    11. 11. Estaciones hydrométricas b) 1 – Africa 2 – Asia 3 – South America 4 – North America, Central America, and the Caribbean 5 – EuropeElevation H [m] 6 – South-West Pacific WMO Region Barros 2012
    12. 12. Hydrometeorology of Mountainous Regions Maritime vs Continental Tropical Monsoon Regimes Mid-Latitude Seasonal Regimes Global to Regional Scale Controls Summit to Sea and Sea To Summit
    13. 13. From Clouds to River Networks 1st Principal Component of Cloudiness (IR Brightness) Giovannetone and Barros 2008 and 2009
    14. 14. Warm Rain Daytime “Deep” TRMM Central Andes ConvectionGiovannettone and Barros, 2009
    15. 15. Shallow Embedded Convection Nighttime TRMM Central AndesGiovannettone and Barros, 2009
    16. 16. 1st order streamsTRMM PFs December 1998-2010 Wet season 3500m
    17. 17. Ridge-Valley, ET feedback,andMountain-Valley Circulations Sunrise Forenoon Noon Later Afternoon Evening Early Night Late Night Middle of Night to Morning Rampanelli et al. (2004)
    18. 18. Lowman and Barros, 2013
    19. 19. Class Elevation Range (m) 1 6000-3600 2 3599-2500 3 2499-2200 4 2199-1500 5 1499-1300 6 1299-900 7 899-500 8 499-0AGU Poster EP32B-0737 Deitz et al. 2011
    20. 20. AGU Poster EP32B-0737 Deitz et al. 2011
    21. 21. First Observations Central Andes San Pedro, Andes 2012 Rio Kospiñata 2011Financiado por la NSF
    22. 22. Precipitable waterPrecipitablewater fromERA-Interim2011 ACRGs installed in 2011
    23. 23. Erlingis (2012)
    24. 24. Moisture transport – Andes Vertically integrated moisture flux Verano Invierno Role of vegetation/ET in “harvesting” atmospheric moisture???
    25. 25. Weak LLJ Daily Precipitation TRMM 3B42 ERA-Interim NCEP-FNL
    26. 26. NCEP/NCAR ReanalysisWater Vapor Transport 1951-2010
    27. 27. NecessidadesFundamentales deInvestigaciónMonitoreoOrganización the Processos y Flujos enel Paisaje en Multiples Escalas Recursos Sostenibilidad Riesgos

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