TAOS™ Diffusion Hydrodynamic Model Global Output System
Last Update: Thu 02 May 2024 10:22:53 UTC
Input Precipitation Overview 20240502
Riverine/Overland Flow Overview for 20240502
GFS Based Forecast Today through next 15 days
Major River Flood Assessment
Admin areas with river segments greater than 0.3m (1 ft) excess water levels
| country |
admin1_name |
river_name |
pop_at_risk |
return_period |
est_flood_level |
| ARM |
Ararat |
Aras |
89731 |
5.71 |
1.06 |
| ARM |
Armavir |
Aras |
57274 |
13.33 |
1.03 |
| AZE |
Aran |
Kura |
87837 |
4.44 |
1.74 |
| AZE |
Ganja-Qazakh |
Kura |
46114 |
8 |
1.2 |
| AZE |
Kalbajar-Lachin |
Aras |
24558 |
13.33 |
1.38 |
| AZE |
Nakhchivan |
Aras |
106713 |
5.71 |
1.15 |
| AZE |
Yukhari-Karabakh |
Aras |
60230 |
13.33 |
1.38 |
| BEN |
Borgou |
Ouémé |
2837 |
5.71 |
0.93 |
| BRA |
Pará |
Amazonas |
92888 |
Indeterminate |
2.08 |
| BRA |
Pará |
Trombetas |
55950 |
Indeterminate |
0.3 |
| BRA |
Rio Grande do Sul |
Ibicuí |
24189 |
Indeterminate |
2.07 |
| CAN |
Alberta |
Athabasca |
3715 |
13.33 |
0.26 |
| CAN |
Alberta |
South Saskatchewan |
357753 |
Indeterminate |
1.48 |
| CAN |
Yukon |
Liard |
1056 |
Indeterminate |
1.57 |
| CHL |
Araucanía |
Bío-Bío |
1427 |
8 |
0.51 |
| CHL |
Atacama |
Copiapó |
196276 |
13.33 |
0.28 |
| CHL |
Bío-Bío |
Bío-Bío |
35931 |
8 |
0.97 |
| CHN |
Guangdong |
Dong |
830491 |
40 |
1.54 |
| CHN |
Guizhou |
Yuan |
26841 |
4.44 |
1.03 |
| CHN |
Xinjiang Uygur |
Yarkant |
38698 |
Indeterminate |
0.38 |
| CIV |
Bas-Sassandra |
Sassandra |
9983 |
13.33 |
1.95 |
| CIV |
Montagnes |
Sassandra |
31713 |
Indeterminate |
2.03 |
| CIV |
Montagnes |
Sassandra |
19648 |
13.33 |
1.97 |
| CIV |
Sassandra-Marahoué |
Sassandra |
39979 |
13.33 |
1.97 |
| CIV |
Sassandra-Marahoué |
Sassandra |
31283 |
Indeterminate |
2.03 |
| CIV |
Woroba |
Sassandra |
7552 |
40 |
1.98 |
| COD |
Ituri |
Ituri |
1863 |
40 |
0.9 |
| COD |
Ituri |
Semliki |
10884 |
13.33 |
1.23 |
| COD |
Nord-Kivu |
Semliki |
81484 |
13.33 |
1.27 |
| COG |
Plateaux |
Alima |
1531 |
40 |
0.61 |
| COL |
Antioquia |
Cauca |
254160 |
Indeterminate |
1.93 |
| COL |
Caldas |
Cauca |
66383 |
Indeterminate |
1.4 |
| COL |
Casanare |
Meta |
15305 |
Indeterminate |
2.25 |
| COL |
Meta |
Meta |
6567 |
40 |
1.91 |
| COL |
Risaralda |
Cauca |
109758 |
Indeterminate |
1.15 |
| COL |
Valle del Cauca |
Cauca |
206053 |
Indeterminate |
0.96 |
| COL |
Vaupés |
Ajajú |
2421 |
5.71 |
1.97 |
| COL |
Vichada |
Orinoco |
14609 |
Indeterminate |
1.35 |
| ETH |
Oromia |
Genale |
53709 |
40 |
0.74 |
| ETH |
Somali |
Genale |
2817 |
8 |
0.74 |
| GAB |
Haut-Ogooué |
Ogooué |
207663 |
Indeterminate |
2.13 |
| GEO |
Kvemo Kartli |
Kura |
128346 |
8 |
1.2 |
| GEO |
Mtskheta-Mtianeti |
Kura |
18810 |
5.71 |
0.76 |
| GEO |
Tbilisi |
Kura |
860270 |
5.71 |
0.8 |
| IDN |
Kalimantan Timur |
Kayan |
49975 |
Indeterminate |
2.01 |
| IDN |
Kalimantan Timur |
Mahakam |
38104 |
40 |
1.33 |
| IDN |
Papua |
Baliem |
164529 |
Indeterminate |
0.38 |
| IDN |
Papua |
Fly |
5758 |
5.71 |
1.81 |
| IDN |
Riau |
Indragi |
127757 |
8 |
0.81 |
| IDN |
Sumatera Barat |
Indragi |
12415 |
8 |
0.78 |
| IRN |
Ardebil |
Aras |
3832 |
4.44 |
1.24 |
| IRN |
East Azarbaijan |
Aras |
36536 |
13.33 |
1.38 |
| IRN |
West Azarbaijan |
Aras |
30987 |
5.71 |
1.15 |
| KEN |
Embu |
Tana |
17079 |
5.71 |
1.19 |
| KEN |
Garissa |
Tana |
288170 |
13.33 |
2.1 |
| KEN |
Kitui |
Tana |
42363 |
40 |
1.84 |
| KEN |
Machakos |
Tana |
3188 |
5.71 |
0.79 |
| KEN |
Tana River |
Tana |
89036 |
13.33 |
2.1 |
| KEN |
Tharaka-Nithi |
Tana |
23201 |
40 |
1.72 |
| PAK |
Azad Kashmir |
Jhelum |
587815 |
5.71 |
1.29 |
| PAK |
N.W.F.P. |
Jhelum |
10267 |
5.71 |
1.29 |
| PAK |
Punjab |
Jhelum |
42744 |
4.44 |
1.26 |
| PNG |
Southern Highlands |
Purari |
229719 |
Indeterminate |
1.5 |
| PNG |
Western |
Fly |
13084 |
40 |
1.81 |
| TUR |
Iğdır |
Aras |
31158 |
13.33 |
1.06 |
| TUR |
Mus |
Murat |
3947 |
4.44 |
0.41 |
| UGA |
Bundibugyo |
Semliki |
33381 |
13.33 |
1.23 |
| UGA |
Lake Albert |
Semliki |
1011 |
8 |
1.2 |
| USA |
Idaho |
Bear |
8078 |
5.71 |
0.29 |
| USA |
Idaho |
Snake |
102457 |
13.33 |
0.83 |
| USA |
Montana |
Flathead |
41879 |
Indeterminate |
0.58 |
| USA |
Montana |
Missouri |
57666 |
Indeterminate |
1.64 |
| USA |
Montana |
Yellowstone |
143199 |
Indeterminate |
0.71 |
| USA |
Wyoming |
Bighorn |
1934 |
4.44 |
0.84 |
| USA |
Wyoming |
Snake |
9013 |
Indeterminate |
0.43 |
| USA |
Wyoming |
Wind |
23339 |
40 |
0.58 |
| VEN |
Amazonas |
Orinoco |
78305 |
Indeterminate |
1.35 |
| VEN |
Amazonas |
Ventuari |
1329 |
Indeterminate |
1.89 |
(78 rows)
Economic Impact from Excess Water Levels
Current Impacts
| name |
country |
impact |
| Missouri |
USA |
$ 7.23 Million USD |
| Pará |
BRA |
$ 5.87 Million USD |
| Guangdong |
CHN |
$ 1.72 Million USD |
| Rio Grande do Sul |
BRA |
$ 1.39 Million USD |
(4 rows)
15 Day Forecast
| name |
country |
impact |
| Rio Grande do Sul |
BRA |
$ 46.36 Million USD |
| Antioquia |
COL |
$ 4.20 Million USD |
| Pará |
BRA |
$ 3.50 Million USD |
| Guangdong |
CHN |
$ 3.38 Million USD |
| San Juan |
ARG |
$ 2.96 Million USD |
(5 rows)
Regional Maps and 15 day (360hr) Excess Flow Hydrograph Forecasts
Africa
Europe
United States
China/SE Asia
Report generated by cortex2.methaz.org at Thu 02 May 2024 10:22:53 UTC
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