flashflood
TRANSCRIPT
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IKLIM SEBAGAI PEMICU BANJIR BANDANG
Halmar HalideJurusan Fisika FMIPA UNHASAS
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Parodi et al. Predictability and predictive abilityof severe rainfall processes http://www.cimafoundation.org
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http://www.popsugar.com/Flash-Flood-Boulder-Colorado-2013-Pictures-31755647
1 inch = 2,54 cm
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New York
Colorado
Colorado
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http://www.nyc.gov/html/oem/html/hazards/weather_flashflood.shtml
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http://pix11.com/2013/09/02/flash-flood-warning-in-effect-for-much-of-nyc-until-3-p-m/#axzz2fxDaGUar
Eastern Daylight TimeSummer time -4 jam UTC/GMT
1 inch = 2,54 cm
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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.
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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 NganaJournal of Geography and Regional Planning Vol. 3(4), pp. 66-72, April 2010
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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 NganaJournal of Geography and Regional Planning Vol. 3(4), pp. 66-72, April 2010
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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 NganaJournal of Geography and Regional Planning Vol. 3(4), pp. 66-72, April 2010
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http://bpkp-sidrap.blogspot.com/2011/05/petunjuk-lontara-allaorumang-adat-bugis.html
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Bagaimana kepiawaian (skill)prediksi lontara itu terhadap
observasi?
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SST Nino 3.4
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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.
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2011
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WIND
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2011
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PRECIPITATION DATAHASANUDDIN AIRPORT
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2011
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Apa kata meteorologis?
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Convective Available Potential Energy [Joules/Kg]
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Bagaimana mendapatkanLI dan CAPE?
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http://weather.unisys.com/upper_air/skew/details.php
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http://weather.unisys.com/upper_air/skew/details.php
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http://weather.unisys.com/upper_air/skew/details.php
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Geostationary Operational Environmental Satellitehttp://www.oso.noaa.gov/goes/ http://www.goes.noaa.gov/
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Apa kata pemodel?Linking atmospheric condition to
precipitation
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MCC as the mean correlation coefficient
MCE is the mean coefficient of efficiency
MAE is the mean absolute errorMAPE is the mean absolute percentage error
RMSE is the root mean square error
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Apa kata pemodel?Linking Oceanic condition to
precipitation
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El Nino
LaNina
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Halide and Ridd, 2008
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Bersama…..Kita bisa!
dan tentu saja…lebih cepat!
Together faster
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Thank you…