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 Status:Ongoing analysis Material from: Linus, Ivan


 

1. Impact

In the end of August 2022 large parts of Pakistan was hit by extreme rainfall and severe flooding. The extreme rainfall seems also to have hit parts of Afghanistan.

Pakistan was devastated by widespread floods in end of August 2022. Since the beginning of the monsoon season in June a third of the country has been badly affected by floods that have killed more than 1000 people and displaced 33 million. There are several important aspect that have caused these devastating floods. First, Pakistan is a home of 221 million people and the majority of the population live along the Indus River, which flows from the Himalayas, through most of the country down to the Arabian Sea at Karachi. In the northern Himalayan regions of Pakistan there are more glaciers than anywhere else in the world outside the Arctic and Antarctic. Rising global temperatures are causing those glaciers to melt and form glacial lakes. Around 3,000 new lakes have formed, with officials warning 33 of them are currently at risk of bursting. Many already have so far this year. When the Shisper glacier burst in May, it released millions of cubic metres of water, causing landslides and creating a lake that destroyed a bridge, two power plants and hundreds of homes in the Hunza Valley. Due to glacier melting mentioned above and some episodes of heavy rain, river Indus is flowing full already from the north of the country but the southern provinces of Sindh and Balochistan are also suffering very extreme levels of rainfall – Sindh in the southeast has had 784% of its normal rainfall levels this year, while Balochistan in the southwest has had 522% (all these data has been reported in the media).

https://floodlist.com/asia/pakistan-floods-update-august-2022

2. Description of the event

An episode of torrential rain affected Pakistan around 21-26 August. The first plots below shows precipitation totals between 21 and 25 August from on STVL. The largest amounts were measured again in SE of Pakistan in Sindh province – over 200 mm which fell for about 2 to 3 days; these amounts look quite extreme compared to the model climate. Significants amounts of rain fell in many other parts of the country as well.


Looking at the CPC gauge-based gridded product reveals that heavy rain affected Sindh province and some areas in the NE on 23 August. This wet episode continued between 24 and 26 August moving eastwards. The estimates based on the data in our STVL database and also from CPC rainfall product shows that between 22 and 27 August in some places of SE and NW of Pakistan between 200 and 300 mm fell over already saturated ground – note that most of these amounts fell in much shorter period of time – a day or two.


The plots below show concatenated 6-hour forecasts from HRES for the period 23 August 00UTC to 26 August 00UTC. The two boxes represents a southern region and a northern region that will be evaluated in the forecast evolution plots below.

3. Predictability

 

3.1 Data assimilation

 

3.2 HRES


3.3 ENS

The plots below show EFI for 3-day precipitation 23-25 August.


The plot below shows the forecast evolution plot for 72-hour precipitation valid  23 August 00UTC - 26 August 00UTC for the southern box. Concatenated 6-hour forecasts - green dot, HRES –red, ENS CF - purple, ENS blue box-and-whisker, Model climate – red box-and-whisker. Triangle marks the maximum in the model climate based on 1200 forecasts. In the distributions the black square represents the median and diamond ensemble mean.


The plot below is the same as above but for the northern box.


Compared to the model climatology, the event was more extreme in the northern box, even if the absolute magnitude was less. For this 3-day period (23-25 Aug), the forecast s from around 12 August started to pick up the risk of a wet period, but the really strong signal appeared only 1-2 days before the event started.

3.4 Monthly forecasts

The panels in the plot below show extended-range EFI/SOT valid for the week 22-29 August.


3.5 Comparison with other centres


4. Experience from general performance/other cases


5. Good and bad aspects of the forecasts for the event


6. Additional material

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