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WEATHER FORECASTING ACTIVITIES METEOROLOGICAL AND HIDROLOGICAL WEATHER SERVICE OF PERU

WEATHER FORECASTING ACTIVITIES METEOROLOGICAL AND HIDROLOGICAL WEATHER SERVICE OF PERU. Jorge Chira. CLIMATE CLASIFICATION OF PERU. Watersheds. ATLÁNTICO 97,7% disponibilidad Agua 26,0% población 292 000 m 3 /hab. 564 ríos. 62 ríos. 381 ríos. TITICACA 0,5% disponibilidad agua

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WEATHER FORECASTING ACTIVITIES METEOROLOGICAL AND HIDROLOGICAL WEATHER SERVICE OF PERU

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  1. WEATHER FORECASTING ACTIVITIESMETEOROLOGICAL AND HIDROLOGICAL WEATHER SERVICE OF PERU Jorge Chira

  2. CLIMATE CLASIFICATION OF PERU

  3. Watersheds ATLÁNTICO 97,7% disponibilidad Agua 26,0% población 292 000 m3/hab 564 ríos 62 ríos 381 ríos TITICACA 0,5% disponibilidad agua 4,0% población 9 715 m3/hab PACÍFICO 1,8 % disponibilidad agua 70 % de población 2 027 m3/hab

  4. Weather Events In Peru Flooding Snow Storm Strong Winds Mudslide

  5. OBSERVACIONAL SYSTEM Red de Estaciones Sinópticas CORPAC Red de Estaciones Automáticas SENAMHI +/- 27 +/- 50

  6. OBSERVACIONAL SYSTEM

  7. NUMERICAL MODELS IN SENAMHI

  8. WEATHER FORECASTING PROCESS

  9. http://www.senamhi.gob.pe/

  10. FUTURE CURRENTLY

  11. FORECAST PRODUCTS WEATHER FORECASTING CLIMATEFORECAST CLIMATEFORECAST

  12. WEATHER WARNINGS

  13. HIDROLOGICAL PRODUCTS

  14. PRIVATE FORECAST PRODUCTS CAMISEA EXPERIENCE

  15. PRIVATE FORECAST PRODUCTS CAMISEA EXPERIENCE

  16. DIGITISING PLUVIOGRAPHS AND OTHERS

  17. SATELLITE IMAGERY

  18. SATELLITE PICTURES APLICATION CLOUD CLASIFICATION http://goes.gsfc.nasa.gov/goeseast/peru/

  19. ALBEDO STORM CLASSIFICATION

  20. Current Limitations in MHWSMeteorological and Hidrological Weather Service • Low Budget in weather observing system • Few human resources for weather forecasting and climate prediction • Limited automatization of meteorological process • Limited use of NWP products and new technology • Numerical Models without data assimilation. • Need of Regional climate model for seasonal forecasts. • Difficult monitoring of weather systems specially at subsynoptic and mesoescale scale, strong interactions with extratropics, teleconnections • Forecasts and early warnings highly uncertain and difficult verification • Limited users of forecasts and Weather Warnings

  21. Needs • Training in remote sensing • Training in numerical data assimilation • Geonetcast Implementation for two users: Stakeholders and NWS • Increased band of Geonetcast to upload grib data of numerical models • Advices for improve observational, processing and telecomunication systems

  22. THANK YOU! ENJOY PERU

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