IKLIM SEBAGAI PEMICU BANJIR BANDANG
Halmar Halide
Jurusan Fisika FMIPA UNHASAS
Parodi et al. Predictability and predictive ability
of severe rainfall processes http://www.cimafoundation.org
http://www.popsugar.com/Flash-Flood-Boulder-Colorado-2013-Pictures-31755647

1 inch = 2,54 cm
http://www.nyc.gov/html/oem/html/hazards/weather_flashflood.shtml
http://pix11.com/2013/09/02/flash-flood-warning-in-effect-for-much-of-nycuntil-3-p-m/#axzz2fxDaGUar

Eastern Daylight Time...
The tribals assess the probability of early warning of flood extent by observing color of
clouds, their location, intensit...
Indigenous knowledge in seasonal rainfall prediction in Tanzania: A case of the
South-western Highland of Tanzania
Ladisla...
Indigenous knowledge in seasonal rainfall prediction in Tanzania: A case of the
South-western Highland of Tanzania
Ladisla...
Indigenous knowledge in seasonal rainfall prediction in Tanzania: A case of the
South-western Highland of Tanzania
Ladisla...
http://bpkp-sidrap.blogspot.com/2011/05/petunjuk-lontara-allaorumang-adat-bugis.html
DESCRIPTION: Warm (red) and cold (blue) episodes based on a threshold of +/- 0.5oC for the
Oceanic Niño Index (ONI) [3 mon...
2011
2011
2011
http://weather.unisys.com/upper_air/skew/details.php
http://weather.unisys.com/upper_air/skew/details.php
http://weather.unisys.com/upper_air/skew/details.php
Geostationary Operational Environmental Satellite
http://www.oso.noaa.gov/goes/
http://www.goes.noaa.gov/
RMSE is the root mean square error
MCC as the mean correlation coefficient
MCE is the mean coefficient of efficiency
MAE i...
El Nino

LaNina
Halide and Ridd, 2008
Bersama…..Kita bisa!
dan tentu saja…lebih cepat!
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Flashflood

  1. 1. IKLIM SEBAGAI PEMICU BANJIR BANDANG Halmar Halide Jurusan Fisika FMIPA UNHASAS
  2. 2. Parodi et al. Predictability and predictive ability of severe rainfall processes http://www.cimafoundation.org
  3. 3. http://www.popsugar.com/Flash-Flood-Boulder-Colorado-2013-Pictures-31755647 1 inch = 2,54 cm
  4. 4. http://www.nyc.gov/html/oem/html/hazards/weather_flashflood.shtml
  5. 5. http://pix11.com/2013/09/02/flash-flood-warning-in-effect-for-much-of-nycuntil-3-p-m/#axzz2fxDaGUar Eastern Daylight Time Summer time -4 jam UTC/GMT 1 inch = 2,54 cm
  6. 6. The tribals assess the probability of early warning of flood extent by observing color of clouds, their location, intensity and frequency of rainfall. The unusual sounds and changes in water flow, colour of water, direction of wind and the unusual behavior of wildlife like ants, birds, rats and Snakes also helps in the assessment of climatic variations. In the prediction that a particular year is likely to be a drought year, the nature of clouds is described as follows: “There would neither be prosperity nor rain in the land should the clouds be rough and small, tossed about by the wind have the shape of camels, corms, dead bodies, monkeys or other inauspicious creatures, and be silent” The tribals of Rajasthan also have faith in the sayings of elders about the prediction of weather, for e.g “ Pawan baje Suryo,to hali halav kim puryo” if winds flow in the North – west direction then farmer should not plough his field because it indicates heavy rains.
  7. 7. Indigenous knowledge in seasonal rainfall prediction in Tanzania: A case of the South-western Highland of Tanzania Ladislaus B. Chang’a, Pius Z. Yanda and James Ngana Journal of Geography and Regional Planning Vol. 3(4), pp. 66-72, April 2010
  8. 8. Indigenous knowledge in seasonal rainfall prediction in Tanzania: A case of the South-western Highland of Tanzania Ladislaus B. Chang’a, Pius Z. Yanda and James Ngana Journal of Geography and Regional Planning Vol. 3(4), pp. 66-72, April 2010
  9. 9. Indigenous knowledge in seasonal rainfall prediction in Tanzania: A case of the South-western Highland of Tanzania Ladislaus B. Chang’a, Pius Z. Yanda and James Ngana Journal of Geography and Regional Planning Vol. 3(4), pp. 66-72, April 2010
  10. 10. http://bpkp-sidrap.blogspot.com/2011/05/petunjuk-lontara-allaorumang-adat-bugis.html
  11. 11. DESCRIPTION: Warm (red) and cold (blue) episodes based on a threshold of +/- 0.5oC for the Oceanic Niño Index (ONI) [3 month running mean of ERSST.v3b SST anomalies in the Niño 3.4 region (5oN-5oS, 120o-170oW)], based oncentered 30-year base periods updated every 5 years. For historical purposes cold and warm episodes (blue and red colored numbers) are defined when the threshold is met for a minimum of 5 consecutive over-lapping seasons.
  12. 12. 2011
  13. 13. 2011
  14. 14. 2011
  15. 15. http://weather.unisys.com/upper_air/skew/details.php
  16. 16. http://weather.unisys.com/upper_air/skew/details.php
  17. 17. http://weather.unisys.com/upper_air/skew/details.php
  18. 18. Geostationary Operational Environmental Satellite http://www.oso.noaa.gov/goes/ http://www.goes.noaa.gov/
  19. 19. RMSE is the root mean square error MCC as the mean correlation coefficient MCE is the mean coefficient of efficiency MAE is the mean absolute error MAPE is the mean absolute percentage error
  20. 20. El Nino LaNina
  21. 21. Halide and Ridd, 2008
  22. 22. Bersama…..Kita bisa! dan tentu saja…lebih cepat!

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