Overall Green alert Tropical Cyclone for MALAKAS-22
Off-shore
13 Apr 2022 00 UTC
click on to select bulletin time
Impact Single TC
Impact based on all weather systems in the area

Impact

Tropical Cyclone MALAKAS-22 can have a low humanitarian impact based on the maximum sustained wind speed,exposed population and vulnerability.

Meteorological source ECMWF
Exposed countries North Korea, Japan, Philippines
Exposed population No people in Category 1 or higher
Maximum wind speed 119 km/h
Maximum storm surge 1.0 m (13 Apr 03:45 UTC)
Vulnerability --

GDACS Score

GDACS alert score for Tropical Cyclones is 0.5 (GREEN Alert), 1.5 (ORANGE Alert), 2.5 (RED Alert)
For more info on GDACS alert score click here.
  Wind Storm surge Rainfall GDACS score
ECMWF Current 119 km/h 1.0 m 783 mm 0.5
ECMWF Overall 119 km/h 1.0 m 783 mm 0.5

Maximum winds, storm surge, rainfall (Current: over the next 72 h, Overall: entire TC track)

TOP

Wind



Wind exposed population - AoIs

Estimations based on the bulletin of 13 Apr 2022 00:00 UTC
CategoryCountryPopulation 
Tropical StormNorth Korea, Japan, Philippines11,405
+
North Korea136 
Japan2,699 
Philippines8,570 

See TC classification SSHS


Wind Impact Timeline

people affected <=10000
10000< people affected <=100000
people affected >100000


Alert N° Date (UTC) Max Winds (km/h) Pop in Cat. 1 or higher TS Cat. 1 Cat. 2 Cat. 3 Cat. 4 Cat. 5 Countries
GREEN 1 06 Apr 2022 12:00 61 - - - - - - -
GREEN 2 07 Apr 2022 00:00 58 - - - - - - -
GREEN 3 07 Apr 2022 12:00 61 - - - - - - -
GREEN 4 08 Apr 2022 00:00 68 - - - - - - -
GREEN 5 08 Apr 2022 12:00 76 -
- - - - - North Korea
GREEN 6 09 Apr 2022 00:00 65 - - - - - - -
GREEN 7 09 Apr 2022 12:00 72 - - - - - - -
GREEN 8 10 Apr 2022 00:00 72 -
- - - - - Philippines
GREEN 9 10 Apr 2022 12:00 72 -
- - - - - Philippines
GREEN 10 11 Apr 2022 00:00 72 - - - - - - -
GREEN 11 11 Apr 2022 12:00 72 - - - - - - -
GREEN 12 12 Apr 2022 00:00 83 - - - - - - -
GREEN 13 12 Apr 2022 12:00 94 - - - - - - -
GREEN 14 13 Apr 2022 00:00 119 -
- - - - - Japan
Download:





Impact estimation for the next 72h
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Rainfall

783 mm

Up to 3.8 million can be affected by rain higher than 100mm (see SSHS)





Rain exposed population - AoIs

Estimations based on the bulletin of 13 Apr 2022 00:00 UTC
LevelCountryPopulation 
750-1000 mmPhilippines1,306 
500-750 mmPhilippines76,131 
250-500 mmPhilippines, Micronesia816,022
+
Philippines815,176 
Micronesia846 
100-250 mmJapan, Northern Mariana Islands, Guam, Micronesia, Philippines, Palau2,872,573
+
Japan773,861 
Northern Mariana Islands5,975 
Guam168,257 
Philippines1,815,652 
Micronesia87,772 
Palau21,052 
50-100 mmChina, North Korea, Japan, Northern Mariana Islands, Guam, Philippines, Micronesia, Palau12,464,871
+
China22,262 
North Korea1,592 
Japan9,875,040 
Northern Mariana Islands49,094 
Guam1,627 
Philippines2,499,782 
Micronesia15,374 
Palau95 

Rain Impact Timeline

people affected <=10000
10000< people affected <=100000
people affected >100000


Alert N° Date (UTC) Max Rainfall (mm) Pop >100mm or higher 50-100 100-250 250-500 500-750 750-1000 >1000 Countries
Blue 1 06 Apr 2022 12:00 152 - - - - - - -
Blue 2 07 Apr 2022 00:00 72 -
- - - - - Philippines
Blue 3 07 Apr 2022 12:00 331 -
- - - - - Philippines, Micronesia
Blue 4 08 Apr 2022 00:00 252 -
- - - - - Philippines, Micronesia
Blue 5 08 Apr 2022 12:00 165 -
- - - - - Philippines, Micronesia
Blue 6 09 Apr 2022 00:00 219 10 thousand
- - - - Philippines, Micronesia
Blue 7 09 Apr 2022 12:00 269 30 thousand
- - - - Philippines, Micronesia
Blue 8 10 Apr 2022 00:00 271 40 thousand
- - - Philippines
Blue 9 10 Apr 2022 12:00 126 - - - - - - -
Blue 10 11 Apr 2022 00:00 150 Few people
- - - - Japan
Blue 11 11 Apr 2022 12:00 131 60 thousand
- - - - Japan, Philippines
Blue 12 12 Apr 2022 00:00 88 -
- - - - - Philippines
Blue 13 12 Apr 2022 12:00 151 -
- - - - - Philippines
Blue 14 13 Apr 2022 00:00 321 1 thousand
- - - - Japan, Northern Mariana Islands, Micronesia, Philippines, Palau




Impact estimation for the next 72h
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StormSurge

The calculations have been performed using NAMIDANCE computer code, from Middle East Technical University.
reference: Zaytsev, Andrey; Kurkin, Andrey; Pelinovsky, Efim; Yalciner, Ahmet C. - NUMERICAL TSUNAMI MODEL NAMI-DANCE. - Science of Tsunami Hazards . Nov2019, Vol. 38 Issue 4, p151-168. 18p.
Doaj

1 m

The JRC has developed an experimental global storm surge model, which is run after each advisory issued by the regional tropical cyclone centres. The calculations are published about 20 minutes after a new advisory is detected by GDACS. The calculations identify the populated places affected by storm surge up to three days in advance, using the forecasted track. When forecasts change, the associated storm surge changes too and alert levels may go up or down. All links, data, statistics and maps refer to the latest available calculation. If the calculation for the last advisory is not completed, the latest available calculation is shown.

Storm Surge Exposed population - AoIs

Estimations based on the bulletin of 13 Apr 2022 00:00 UTC
LevelCountryPopulation 
0.5 - 1.0 mRussia, Japan, North Korea, South Korea616,195
+
Russia10,274 
Japan246,776 
North Korea41,963 
South Korea317,180 
0.25 - 0.5 mRussia, Japan, North Korea, South Korea, Philippines5,039,633
+
Russia2,220 
Japan4,132,742 
North Korea39,436 
South Korea395,895 
Philippines469,337 

Storm Surge Exposed locations

Calculation based on the bulletin of 13 Apr 2022 00:00 UTC