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Ki Toy Johnson

Early Life & Education

Ki Toy

Johnson was born in Peoria, Illinois.It was `while she was still in grade school that She developed passion for the arts.She eventually attended Washington Middle School of the Performing Arts. Johnson then attended Natick High School in Massachusetts where she graduated early.

Johnson attended Clayton State College in Georgia where she majored in Accounting. Following this, she graduated from Bauder College majoring in Fashion Merchandising and Design. During her college years in Clayton State, she was a part-time editor for Kids Under Construction, a gospel newsletter, and also participated as a radio commentator on WAEC in Atlanta

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Career

Ki Toy Johnson has been in King, XXL, Black Men, SSXandSmooth magazines.

Although Johnson loved the Arts, she delayed her career in acting to dedicate her time to establishing her enterprises and taking care of her two foster sons.

As an actress, she appeared in two Outkast music videos: "The Way You Move" and "B.O.B ". Johnson played the female lead role of an auto mechanic in a garage that specialized in automotive audio systems. Her role in "The Way You Move" earned her the award for Vibe's "Sexiest Video Vixen."

After her role in "The Way You Move," she landed a role in a few films like:

  • The Naked Truth (2003)
  • Steppin' Back (2004)
  • Beauty Shop (2005; starring Queen Latifah)

She also starred in a Boost Mobile commercial, and a pilot with rap star Trina titled, With Friends Like These.

Categories

Related Articles

References

[1]

youtube.comKi Toy Johnson's YouTubeaccount

Jul 11, 2017 11:22 AM

[2]

twitter.comKi Toy Johnson's Twitteraccount

Jul 11, 2017 11:23 AM

[3]

kitoyjohnson.netKi Toy Johnson's website

Jul 11, 2017 11:24 AM

[4]

JPEGKi Toy Johnson appears on the cover of the 2003 film The Naked Truth

Jul 11, 2017 11:29 AM

[5]

abagond.wordpress.comA blog post about model Ki Toy Johnson (2008)

Jul 11, 2017 11:38 AM

[6]

JPEGFull body shot of Ki Toy Johnson

Jul 11, 2017 11:47 AM

[7]

JPEGKi Toy Johnson's main photo on Hip-Hop Lead

Jul 11, 2017 11:51 AM

[8]

youtube.comKi Toy Johnson appears in Outkast's " The Way You Move" music video

Jul 11, 2017 12:07 PM

[9]

hiphoplead.comHipHopLead's post on Ki Toy Johnson

Jul 11, 2017 12:08 PM

[10]

youtube.comKi Toy Johnson appears in Outkast's "Bombs over Baghdad" music video

Jul 11, 2017 12:25 PM

[11]

JPEGKi Toy Johnson modeling (hair)

Jul 11, 2017 12:28 PM

[12]

kitoyjohnson.netKi Toy Johnson's resume

Jul 11, 2017 12:30 PM

[13]

JPEGKi Toy Johnson (full back shot in underwear)

Jul 11, 2017 12:41 PM

[14]

JPEGKi Toy Johnson in a brown bikini

Jul 11, 2017 12:42 PM

[15]

JPEGKi Toy Johnson in heels and a striped bikini

Jul 11, 2017 12:43 PM

[16]

JPEGKi Toy Johnson modeling (in white)

Jul 11, 2017 12:45 PM

[17]

JPEGKi Toy Johnson appears on the cover of Black Men magazine

Jul 11, 2017 12:47 PM

[18]

JPEGKi Toy Johnson squats

Jul 11, 2017 12:49 PM

[19]

JPEGKi Toy Johnson bikini photo

Jul 11, 2017 12:52 PM

[20]

JPEGKi Toy Johnson posing in a white lingerie for King magazine (January/February 2004 edition)

Jul 11, 2017 12:56 PM

[21]

JPEG3 framed shots of Ki Toy Johnson

Jul 11, 2017 12:57 PM

[22]

PNGKi Toy Johnson with Big Boi and Fonzworth Bentley in " The Way You Move" music video (2004)

Jul 11, 2017 1:16 PM

[23]

youtube.comWith Friends Like These  (pilot episode)

Jul 11, 2017 1:33 PM

[24]

books.google.aeKi Toy Johnson won Vibe's "Sexiest Video Vixen" award in 2004 ( Billboard' s January 2005 issue)

Jul 11, 2017 1:37 PM

[25]

PNGKi Toy Johnson won Vibe's "Sexiest Video Vixen" award for her performance in Outkast's "The Way You Move"

Jul 11, 2017 1:41 PM

[26]

imdb.comKi Toy Johnson's IMDbprofile

Jul 11, 2017 1:44 PM

[30]

Ki Toy Johnson appears in Outkast's "The Way You Move" music video

Jul 11, 2017 12:07 PM

[31]

Ki Toy Johnson appears in Outkast's "Bombs over Baghdad" music video

Jul 11, 2017 12:25 PM

[43]

With Friends Like These  (pilot episode)

Jul 11, 2017 1:33 PM

Pageviews:43577

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Sours: https://everipedia.org/wiki/lang_en/ki-toy-johnson

Compare our forecasts with observation data for the last days with our Short-term Verification for Ban Hat Kai Toi.


Weather models comparison for Ban Hat Kai Toi

  • Every model is assigned one colour that is used in all diagrams. The legend next to the diagram has a list with the model names and the corresponding colours.
  • The first diagram shows the predicted temperatures for each model. The time from sunrise to sunset is indicated in light yellow. The dashed line represents the average of all models.
  • The second diagram shows precipitation amounts: Blue bars indicate precipitation in mm accumulated over one hour. The bars get darker when more models predict precipitation.
  • Weather icons are used to display the predicted weather conditions in the third diagram. The background is light blue for clear sky, light grey for light clouds, and dark grey for strong clouds.

The variables shown are from direct model output and not scaled to the exact altitude and position of the selected place.

Frequently, forecasts are spot on, sometimes less accurate and a few times they are completely wrong. It would be great to know in advance if the forecast is likely to be correct, but how? All weather forecasts are computed by computer models, and sometimes these differ significantly, which indicates uncertainty and difficulty to make an accurate forecast of the weather. In such cases, the weather forecast is likely to change on a daily basis. Our Multi-Model diagram shows the weather forecast of multiple models from meteoblue and others, mostly national weather agencies. Generally, the uncertainty of the forecast increases with the differences between models.

What to do if the forecast is uncertain?

  1. Develop alternatives for your decisions, which are feasible with every possible weather development.
  2. Check forecast updates more frequently.
  3. Check the progress of actual weather more frequently.
  4. Postpone important activities, if they depend strongly on weather.

Forecast limitations

  • Thunderstorms: The exact placement and timing of thunderstorms are almost impossible to predict and the associated amount of precipitation or hail can vary significantly.
  • Stratus clouds: Fog and low clouds are often invisible to most models and to satellites, and as such models may agree despite uncertainty. As a result, models may overestimate sunny conditions in areas prone to fog.
  • Topography: Complex mountain terrain is very challenging for weather predictions. Low clouds and precipitation can rapidly develop there without being detected, and will then not be sufficiently considered in the weather model.

These weather patterns are very difficult to forecast, vary in place and time or depend on local terrain. While locally forecast precipitation does not occur, it might rain just a few kilometres away. A cold front could arrive a few hours later or thunderstorms might or might not develop. Such conditions are error prone and should be handled carefully. In some cases, even different models may not detect such conditions.

Weather models

Weather models simulate physical processes. A weather model divides the world or a region into small "grid-cells". Each cell is about 4km to 40km wide and 100m to 2km high. Our models contain 60 atmospheric layers and reach deep into the stratosphere at 10-25 hPa (60km altitude). The weather is simulated by solving complex mathematical equations between all grid cells every few seconds and parameters like temperature, wind speed or clouds are stored for every hour.

meteoblue operates a large number of weather models and integrates open data from various sources. All meteoblue models are computed twice a day on a dedicated High Performance Cluster.

ModelRegionResolutionLast updateSource

NEMS model family: Improved NMM successors (operational since 2013). NEMS is a multi-scale model (used from global down to local domains) and significantly improves cloud-development and precipication forecast.

NEMS4Central Europe4 km72 h 13:40 GMT+07 meteoblue
NEMS12Europe12 km180 h 14:12 GMT+07 meteoblue
NEMS2-12Europe12 km168 h 16:55 GMT+07 meteoblue
NEMS-8Central America12 km180 h 16:47 GMT+07 meteoblue
NEMS12India12 km180 h 15:05 GMT+07 meteoblue
NEMS10South America10 km180 h 16:18 GMT+07 meteoblue
NEMS10South Africa10 km180 h 15:37 GMT+07 meteoblue
NEMS8New Zealand8 km180 h 14:25 GMT+07 meteoblue
NEMS8Japan East Asia8 km180 h 14:01 GMT+07 meteoblue
NEMS30Global30 km180 h 12:22 GMT+07 meteoblue
NEMS2-30Global30 km168 h 05:57 GMT+07 meteoblue

NMM model family: the first weather model from meteoblue (operational since 2007). NMM is a regional weather model and highly optimised for complex terrain.

NMM4Central Europe4 km km72 h 12:46 GMT+07 meteoblue
NMM12Europe12 km km180 h 13:53 GMT+07 meteoblue
NMM18South America18 km km180 h 15:59 GMT+07 meteoblue
NMM18South Africa18 km km180 h 14:25 GMT+07 meteoblue
NMM18Southeast Asia18 km km180 h 14:54 GMT+07 meteoblue

Third-party domains: As seen on most other websites

GFS22Global22 km180 h (@ 3 h)11:32 GMT+07 NOAA NCEP
GFS40Global40 km180 h (@ 3 h)11:51 GMT+07 NOAA NCEP
GFSENS05Global40 km384 h (@ 3 h)17:13 GMT+07 NOAA NCEP
NAM3North America3 km60 h 10:28 GMT+07 NOAA NCEP
NAM5North America5 km60 h 12:17 GMT+07 NOAA NCEP
NAM12North America12 km84 h (@ 3 h)10:41 GMT+07 NOAA NCEP
FV3-5Alaska5 km60 h 06:26 GMT+07 NOAA NCEP
ICON7Europe7 km120 h (@ 3 h)11:44 GMT+07 Deutscher Wetterdienst
ICON13Global13 km180 h (@ 3 h)13:30 GMT+07 Deutscher Wetterdienst
ICON2Germany & Alps2.2 km48 h 15:46 GMT+07 Deutscher Wetterdienst
GEM2North America2.5 km48 h 13:20 GMT+07 Environment Canada
GEM15Global15 km168 h (@ 3 h)13:14 GMT+07 Environment Canada
AROME2France2 km36 h 12:13 GMT+07 METEO FRANCE
ARPEGE11Europe11 km96 h 14:08 GMT+07 METEO FRANCE
ARPEGE40Global40 km96 h (@ 3 h)12:06 GMT+07 METEO FRANCE
HRMN5Central Europe5 km48 h 12:21 GMT+07 KNMI
HIRLAM11Europe11 km48 h 00:31 GMT+07 KNMI
HIRLAM7Europe7 km54 h 13:25 GMT+07 Finnish Meteorological Institute
UKMO-17Global17 km144 h (@ 3 h)12:19 GMT+07 UK MET OFFICE

Worldwide coverage

meteoblue domain overview meteoblue weather models cover most populated areas at high resolution (3-10km) and world wide at moderate resolution (30km). The map on the side displays NMM models as red and NEMS models as black boxes. For a single forecast, multiple weather models, statistical analysis, measurements, radar and satellite telemetry are considered and combined to generate the most probable weather forecast for any given location on Earth.

Show helpDownload

Sours: https://www.meteoblue.com/en/weather/forecast/multimodel/ban-hat-kai-toi_thailand_1619145
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Precipitation hourly

00:00 to 01:00:
10% chance of precipitation in the area.
0 mm are predicted by our local models.

01:00 to 02:00:
20% chance of precipitation in the area.
0 mm are predicted by our local models.

02:00 to 03:00:
20% chance of precipitation in the area.
0 mm are predicted by our local models.

03:00 to 04:00:
0% chance of precipitation in the area.
0 mm are predicted by our local models.

04:00 to 05:00:
20% chance of precipitation in the area.
0 mm are predicted by our local models.

05:00 to 06:00:
20% chance of precipitation in the area.
0 mm are predicted by our local models.

06:00 to 07:00:
35% chance of precipitation in the area.
0.5 mm are predicted by our local models.

07:00 to 08:00:
15% chance of precipitation in the area.
0 mm are predicted by our local models.

08:00 to 09:00:
15% chance of precipitation in the area.
0 mm are predicted by our local models.

09:00 to 10:00:
10% chance of precipitation in the area.
0 mm are predicted by our local models.

10:00 to 11:00:
10% chance of precipitation in the area.
0 mm are predicted by our local models.

11:00 to 12:00:
0% chance of precipitation in the area.
0 mm are predicted by our local models.

12:00 to 13:00:
10% chance of precipitation in the area.
0 mm are predicted by our local models.

13:00 to 14:00:
20% chance of precipitation in the area.
0 mm are predicted by our local models.

14:00 to 15:00:
20% chance of precipitation in the area.
0 mm are predicted by our local models.

15:00 to 16:00:
35% chance of precipitation in the area.
0.8 mm are predicted by our local models.

16:00 to 17:00:
20% chance of precipitation in the area.
0 mm are predicted by our local models.

17:00 to 18:00:
10% chance of precipitation in the area.
0 mm are predicted by our local models.

18:00 to 19:00:
20% chance of precipitation in the area.
0 mm are predicted by our local models.

19:00 to 20:00:
10% chance of precipitation in the area.
0 mm are predicted by our local models.

20:00 to 21:00:
10% chance of precipitation in the area.
0 mm are predicted by our local models.

21:00 to 22:00:
10% chance of precipitation in the area.
0 mm are predicted by our local models.

22:00 to 23:00:
5% chance of precipitation in the area.
0 mm are predicted by our local models.

23:00 to 00:00:
5% chance of precipitation in the area.
0 mm are predicted by our local models.

Sours: https://www.meteoblue.com/en/weather/week/ban-hat-kai-toi_thailand_1619145
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