This work investigates the meteorological mechanisms forming a classical frontal system on 26 August 2020 in the northeast and eastern parts of Afghanistan. The weather system caused heavy rainfall and led to severe flash floods. Flooding, affected by torrential rain showers, struck mostly the city of Charikar in Parvan province early in the morning day, while most people were asleep. This caused 150 deaths, and nearly 500 houses were destroyed. This research explores atmospheric processes by examining the National Centers for Environmental Prediction dataset and MERRA Model database. The calculation of the convective available potential energy (CAPE) and Showalter index extracted from the Skew-T log-pressure diagram shows a high value of the CAPE at around 2,632 J/kg and −6.6 for the Showalter index, respectively. This presents a very extreme instability in the study area during the time of the flood. The study reveals that the triggering of this system was mostly by thermodynamical aspects, low-level deep convergence, and local topographical aspects rather than the PV streamer. However, the anomaly climate analysis for different atmospheric elements with a comparison of the climate normal values shows the importance of climate change in the weather system into a stronger frontal activity associated with stronger baroclinicity over the study area.

  • Investigation of the anomalies in different meteorological parameters and comparison with the normal mean climatological values.

  • Climate change's role in the brutal Charikar flash floods during late August 2020.

Through time, human beings have been challenged with different types of natural disasters, such as floods and earthquakes. Flooding is a major problem that influences many regions around the world (Mehta et al. 2021; Mangukiya et al. 2022; Mehta & Kumar 2022; Gangani et al. 2023; Kumar et al. 2023a, 2023b). There are different factors behind flooding like weather connected causes such as heaviness and length of rainfall or rapid snow melting and physical aspects such as soil diversity, topography, and distance from the coastline areas, land degradation, catchment features, and landslide (Bruijnzeel 2004; Hu et al. 2015; Mehta et al. 2023; Herath et al. 2023). One of the most remarkable problems in hydrology is better identifying flood regimes. Flood numerical and statistical models have the capability of indicating the characteristics of area ecosystems and the structures of flooding that impact them and play a key role in flood risk evaluation (Mehta et al. 2021; Mehta & Kumar 2022; Sharma et al. 2023). In addition to this, the occurrence of floods can be one of the consequences of climate change (Wobus et al. 2017; Hettiarachchi et al. 2018; Fazel-Rastgar 2020; Sivakumar & Fazel-Rastgar 2023). Climate change influences the worldwide increase in the average temperature assessing the global climate state. It has increased by 0.2 °C per decade, from 1970, because of the emissions of greenhouse gases (Hansen et al. 2006). Both natural events and human activities are causing this rise. Polar ice is decreasing, and the global average sea level is rising (Hoegh-Guldberg et al. 2019). So, climate change is one of the important factors influencing the warmer atmosphere and extreme weather events such as extreme rainfall. In general, this is because of the greater moisture retention in a rather warmer atmosphere. So, this may increase the risk of heavier rainstorms. For example, a previous research study stated that for every 1°C increase in temperature on the planet, it can be expected to be an increase of 7% more atmospheric moisture (O'Gorman & Muller 2010). However, the water vapour is a fast and strong factor to amplify the surface temperature. The earlier studies show the frequency and intensity of extreme events due to climate change continue to increase (Fares et al. 2021). Some studies display that the extreme rainfalls specify a clear trend to increased heavy precipitation in many parts of the world (Easterling et al. 2000; Groisman et al. 2005; DeGaetano 2009; Mass et al. 2011; Wainwright et al. 2020). The global projections show consistency with the increased extreme precipitation with consideration of the climate change impacts (Tebaldi et al. 2006; Trenberth 2011). Extreme weather (Field et al. 2012; Christidis & Stott 2015; Bao et al. 2017; Fazel-Rastgar & Sivakumar 2022a, 2022b), storm intensification, flooding (Trenberth 2005; Fazel-Rastgar 2020; Rajkhowa & Sarma 2021), drought (Hanson & Weltzin 2000; Griffin & Anchukaitis 2014; Diffenbaugh et al. 2015; Cook et al. 2018), water shortage (Simonovic 2017), and wildfires (Abatzoglou & Williams 2016; Stephens et al. 2020; Fazel-Rastgar & Sivakumar 2022a, 2022b) are presently more widespread and are likely to be increased during the future decades (Collins et al. 2013). Also, recent studies show enhanced future changes in both dry and wet extremes in some areas more vulnerable to climate change such as Africa (Kendon et al. 2019). However, for rather wet extremes, it could be mentioned that heavier rainfall may not automatically cause flooding, but it can potentially increase the occurrence of the flood. However, sometimes with moderate rainfalls, serious damage may happen. So, it is very important to know that the extreme events due to climate change may provide an examination to see the impacts of extreme weather systems because of the rather warming climate. A comprehensive analysis should therefore take into account both socioeconomic and climatological influences.
Figure 1

Flowchart illustrating the methodology adopted in the study.

Figure 1

Flowchart illustrating the methodology adopted in the study.

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Since the early 21st century, Afghanistan's communities have experienced extreme vulnerability hazards such as drought and flash flooding (Web-Ref. Climate risk country profile: Afghanistan, 2021).

The risk of flooding is very common in Afghanistan, regardless of the normally arid, low-precipitation situation. Also, in spite of the high limited data, there is enough indication to reveal that flooding triggers at least 100 deaths per year, which shows that Afghanistan is a significant disaster hotspot area (Elalem & pal 2015) and flash flooding is of specific concern. Besides the heavy precipitation occurrences, Afghanistan's mountainous areas are also subjected to the danger of melted glacier surge floods (Mergili et al. 2013). Finally, Afghanistan's communities are also faced with river flooding, and based on the World Resources Institute's AQUEDUCT Global Flood Analyzer by 2010, the annual Afghanistan population faced flooding is estimated at 561,500 people impacting $619.8 million in AMU DARYA BASIN (WRI 2023). It is noted that there is limited research on climate change and flooding trends in Afghanistan. Together these processes are inadequately examined in Afghanistan, but warning to extreme situations needs to prevent losses and damage and health effects.

This study examines the synoptic dynamical analysis to understand the weather pattern causing the deadly recent flooding of Afghanistan. The flooding, affected by torrential rain showers, mostly struck the city of Charikar in Parvan province early in the morning, while most people were asleep. This caused 150 deaths, and nearly 500 houses were destroyed. Also, this study investigates the anomalies in different mereological parameters in comparison with the normal mean climatological values and aims to realize the possibility of the climate change role in the stated brutal Charikar flash floods during late August 2020. This work aims to show how an active frontal weather system has been stronger due to climate change and is considered an extreme event.

This study employs different surface and upper meteorological variables such as temperature, geopotential height, mean sea level (MSL) pressure, wind humidity, and winds from the National Centers for Environmental Prediction (NCEP)/National Center for Atmospheric Research (NCAR) Reanalysis and MERRA database. NCEP/NCAR is an atmospheric reanalysis produced by the NCEP and NCAR.

NCEP data can provide a globally gridded climate data assimilation. The model with a resolution of T62 (209 km) has 28 vertical sigma levels, and the results are available at 6-h intervals. The local ingestion process brought only the 0Z, 6Z, 12Z, and 18Z forecasted values, and therefore, only those were used to make the monthly mean and daily time series. Also, there are more than 80 different variables in several different coordinate systems, for instance, 17 pressure levels at 2.5 by 2.5-degree grids, 11 isentropic levels on 2.5 by 2.5-degree grids, and 28 sigma levels on 192 by 94 Gaussian grids. The precipitation model datasets are formed based on the monthly global precipitation project. The NCEP datasets (Kalnay et al. 1996) are obtainable from 1948 to the present. In this work, first, temporal variations of surface temperature, relative humidity, and precipitation rate during the last two decades for the month of August over the study area have been investigated. Besides, the daily mean composites were considered as the variable average over the study period including daily mean composite maps for 26, 27, and 28 August 2020, and anomalies were calculated on a daily basis as the average's departure from the climate normal mean (1991–2020). The composite mean charts and anomaly maps were developed with the NOAA/ERSL Physical Sciences Division (www.ersl.noaa.gov/psd) support. Here, the daily and monthly mean composites were studied as the variable average over the study periodic time, and the anomalies were calculated as the average periodic time departure from the climate normal (1991–2020) as a standard reference period for the long-term climate change calculations as a typical reference period recommended by World Meteorological Organization. Also, the synoptic and dynamic analyses have been done for both composite mean and anomaly for the resulting surface and upper-level weather charts.

Here, daily weather maps have been analysed and explained for the understanding of the specific weather structure during the severe recent flooding case in Afghanistan. This work has assessed both horizontal and vertical structures in different atmospheric parameters such as temperature, humidity, and wind vectors. Also, a three-hourly time average of the Ertel potential vorticity at 300 hPa during the flooding case over the study area during the flooding case has been obtained using the NASÁs Modern-Era Retrospective Analysis for Research and Applications (MERRA) Model (Rienecker et al. 2011). Also, the historical total precipitation observational dataset over the study area was obtained from the Afghan Meteorological Department and analysed in the form of a time series. An overall methodology adopted is provided in Figure 1.

Afghanistan has an arid climate with large seasonal changes in precipitation and temperature. Temperature variation depends on altitude, e.g. the mountainous areas face cold temperatures even below zero during the cold season. However, the southern arid areas normally face temperatures above 35 °C. Also, the precipitation differs significantly with topography. In the southwestern arid region, it could be annually less than 150 milometers (mm). But the northeastern mountain range can experience more than 1,000 mm (Aich et al. 2017). Figure 2 produced by ArcGIS shows a topographic map of Afghanistan. Charikar (∼ 35.01°N, ∼ 69.16°E) is the main city of the Daman Mountain Valley and the capital city of the Parwan Province in the northern part of Afghanistan. As the map shows, the location of Charikar is on the down eastern slope of the mountainous areas in the northeast part of Afghanistan. The climate of Afghanistan is considered by cold winters and dry and hot summers, and most of the annual precipitation occurs in the northern areas mostly in the form of snow. Also, Afghanistan is one of the more climate-vulnerable countries due to global climate change even though it only promotes 0.06% of the world's greenhouse gas total emissions (Ikram 2018).
Figure 2

A topographic map of Afghanistan with the location of Charikar.

Figure 2

A topographic map of Afghanistan with the location of Charikar.

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Temporal variations of surface temperature, precipitation, and relative humidity

Figure 3(a)–(c) shows the temporal variations of surface temperature, relative humidity, and precipitation rate, respectively, over Charikar during the last two decades for the month of August. As this figure displays, temperature has had a positive trend over the study area during the past decades. The general pattern, during the last two decades, displays a rather drier atmosphere with less precipitation mostly during a recent decade in comparison with the last two decades. This figure also shows dramatic changes for all mentioned meteorological parameters during the year 2020 averaged for the month of August. Figure 4(a) shows the yearly (2007–2020) mean total precipitation observation for the month of August reported by the Afghan Meteorological Department in Jabul Saraj (∼35°07 N, ∼69°14 E), which is a district of Parwan Province, and it is very close to Charikar (∼ 35.01°N, ∼ 69.16°E). This figure shows a high amount (peak point) of precipitation (33 mm) for this area during August 2020 in comparison with other reported years. The calculation of the convective available potential energy (CAPE) and Showalter index extracting from the Skew-T log-pressure diagram (Figure 4(b)) for 35°N, 70°E grid point on 26 August 2020 at 06Z show a high value of CAPE at around 2,632 J/kg and −6.6 for Showalter index presently an extreme instability in the study area during the study time.
Figure 3

Temporal variations of surface temperature (a), relative humidity (b), and precipitation rate (c) over Charikar during the month of August from 1990 to 2020.

Figure 3

Temporal variations of surface temperature (a), relative humidity (b), and precipitation rate (c) over Charikar during the month of August from 1990 to 2020.

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Figure 4

(a) Jabul Saraj yearly mean of the total precipitation observed for the month of August during 2007–2020 and (b) Skew-T log-pressure diagram 35°N, 70°E grid point for 26 August 2020. Observational data were reported from the Afghan Meteorological Department.

Figure 4

(a) Jabul Saraj yearly mean of the total precipitation observed for the month of August during 2007–2020 and (b) Skew-T log-pressure diagram 35°N, 70°E grid point for 26 August 2020. Observational data were reported from the Afghan Meteorological Department.

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Synoptic and dynamic analysis of the flooding episode

The synoptic and dynamic characteristics of the weather system involved with the heavy rainfall on 26–27 August 2020 in the study area (Figure 2) are analysed here. The system caused heavy rainfall in the district of Parwan province and led to flash floods. The left panels of Figures 5 and 6 show the daily composite mean of sea level (MSL) pressure and composite daily mean for 500 hPa geopotential height maps on the days of 26 August 2020 (a), 27 August 2020 (b), and 28 August 2020 (c). The right panels of Figures 5, 6(d), 6(e), and 6(f) present the anomaly patterns departure from the climate normal (1991–2020) for these motioned days. The daily MSL pressure for the day of 26 August 2020 (Figure 5(a)) shows the existence of an anticyclonic centre in Kazakhstan, Turkmenistan, and Uzbekistan from the northwest and two other anticyclonic closed centres sited over Tajikistan and north of India. Also, the surface heat low-pressure system (low-level convergence of the Arabian Sea south-westerlies and Bay of Bengal easterlies) linked monsoon precipitation over Pakistan and northwestern India extended from the south to the study area and northern latitudes around the south of Uzbekistan and west of Tajikistan in the form of a dynamical low-pressure trough. This is accompanied by the existence of a deep mid-tropospheric north-westerly trough (blue dash line) positioned over Uzbekistan and Tajikistan, which is depicted by a tilted blue dash line (Figure 6(a)) affecting the study area. Consideration of Figures 4(a) and 5(a) clearly shows that the study area was influenced by an active classical frontal weather system on 26 August 2020. Also, the southern part of the study area is affected by the subtropical ridge stretching from the southeast of Iran (with a centre of 590 gpm) to the study area (Figure 6(a)). This shows the increase of the baroclinicity associated with two different air mass effects over the study area on 26 August 2020. This is because of an increase in the horizontal pressure gradient (pressure change with distance is related to acceleration change in the momentum equation) associated with the contrast between cyclonic and anticyclonic systems over the study area. This shows the impact of the surface-level forces and possible diabatic processes at the mid-tropospheric level. This could be the main provider of the mechanism ahead of this heavy rainfall.
Figure 5

Mean daily MSL pressure maps on 26 August 2020 (a), 27 August 2020 (b), and 28 August 2020 (c). (d)–(f) The anomaly patterns departure climate normal for these motioned days. The horizontal axis and vertical axis show longitude and latitude in degrees, respectively.

Figure 5

Mean daily MSL pressure maps on 26 August 2020 (a), 27 August 2020 (b), and 28 August 2020 (c). (d)–(f) The anomaly patterns departure climate normal for these motioned days. The horizontal axis and vertical axis show longitude and latitude in degrees, respectively.

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Figure 6

Mean daily 500 hPa geopotential height maps on 26 August 2020 (a), 27 August 2020 (b), and 28 August 2020 (c). (d)–(f) The anomaly patterns departure climate normal for these motioned days. The horizontal aixs and vertical axis show longitude and latitude in degree, respectively.

Figure 6

Mean daily 500 hPa geopotential height maps on 26 August 2020 (a), 27 August 2020 (b), and 28 August 2020 (c). (d)–(f) The anomaly patterns departure climate normal for these motioned days. The horizontal aixs and vertical axis show longitude and latitude in degree, respectively.

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For the climatic aspect of this specific weather system for 26 August 2020, the anomaly maps for MSL and 500 hPa (Figures 5(d) and 6(d)) display an intensification of both northern dynamical low-pressure tongue (around more than 8 hPa over east of China) linked with a deepening of the mid-tropospheric cyclonic trough (with a maximum of 70 gpm over Uzbekistan). This is along with the deepening of the southern heat low (around 2 hPa in the south of Pakistan) along with the subtropical ridge intensification (around 40 gpm in the northeast of India) rather than climate normal respectively. So, a comparison of the mean long-term climatic characteristics of the low- and mid-level tropospheric shows rather more possible baroclinicity than climate normal values caused by a relatively more intense active weather system over the study area. The general pattern of the daily MSL pressure for 27 August 2020 (Figure 5(b)) is nearly like Figure 5(a). However, the pressure curvature over eastern Afghanistan around the Charikar area has decreased in comparison with the previous day. This is accompanied by being more tilted and movement of the upper north-westerly trough to the east (shown with a blue dash line) extending from Uzbekistan to the northeast of Afghanistan (Figure 6(b)). During this time, the study area has been influenced by an active short-wave formation (depicted by a short straight blue dashed line). So, by developing the upper-level trough, the surface low-pressure system has been deepening along with the active frontal system.

A comparison of the MSL (Figure 5(e)) and 500 hpa (Figure 6(e)) map for long-term analysis with this day shows the passage of a very short wave in the eastern area of Afghanistan with respect to 26 August 2020. The anomaly maps for MSL and 500 hPa (Figures 5(e) and 6(e)) display an intensification of both northern dynamical low-pressure tongue (with the maximum value around 7 hPa over the north of Turkmenistan) associated with the deepening of the mid-tropospheric cyclonic trough (with a maximum of 45 gpm over Uzbekistan, Tajikistan, and Kyrgyzstan).

The general pattern of the daily MSL pressure for the day of 28 August 2020 (Figure 5(c)) shows nearly like Figure 5(a) and 5(b). However, the pressure gradient over the eastern Afghanistan around the Charikar area has been slightly decreased in comparison with 27 August 2020. However, the upper trough has changed into an elongated form during this time, and the eastern part of Afghanistan has been influenced by nearly flat westerly flows, which can cause the possible minor troughs passage (Figure 6(c)).

A comparison of the MSL (Figure 5(f)) and 500 hpa (Figure 6(f)) map for long-term analysis with this day shows fewer changes in the eastern area of Afghanistan with respect to anomalies of 27 August 2020. Figure 7 shows that amount of the columnar precipitation water over the study area is around 25 kg m−2 on 26 August 2020. However, during this time, east and south parts of Pakistan show a maximum value of ∼65 kg m−2, which also caused severe flooding cases over that area. A comparison of the total rainfall resulting from the model on 26 August 2020 (daily ∼25 kgm−2) and observational data in August 2020 (monthly total ∼33 mm in Jabul Saraj station) shows a nearly good agreement. This validation has constraints due to limitations in data observations. Figure 8 shows Ertel's potential vorticity at 300 hPa on 26 August 2020. As this figure shows, there is no considerable PV streamer over the study area, and it is unlikely that the upper tropospheric forces contribute to heavy rainfall occurring in the considered study period in the study area. The maximum PVU can be seen over the south of Kazakhstan with a value of 7.1. However, over the Charikar area, the potential vorticity value is around 0.5 PVU, which is not a considerable potential streamer. So, it seems that this system should be triggered mostly by other factors such as thermodynamical and orographic aspects rather than the PV streamer. Figure 9 shows the daily mean omega at 700 hPa over the study on 26–27 August 2020. This figure shows strong vertical velocity with a maximum of around −0.15 Pa/s over the northeast of Pakistan, which extends toward eastern Afghanistan with the same value over the Charikar area. This is associated with an intense upward motion and strong instability during the flooding case over the study area.
Figure 7

Columnar precipitation water (kg m−2) during 26 August 2020, over the study area.

Figure 7

Columnar precipitation water (kg m−2) during 26 August 2020, over the study area.

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Figure 8

Ertel's potential vorticity at 300 hPa during 26 August 2020.

Figure 8

Ertel's potential vorticity at 300 hPa during 26 August 2020.

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Figure 9

Daily mean omega at 700 hPa over the study on 26–27 August 2020.

Figure 9

Daily mean omega at 700 hPa over the study on 26–27 August 2020.

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Figure 10 shows the relative humidity (left) and horizontal wind vector field (right) at a level of 700 hPa. The cells of maximum relative humidity more than 90% have been formed over the northern parts of India and Pakistan extending to the eastern boundary of Afghanistan. This figure signifies the convergence and injecting of the extensive moist air into the target area during the active weather system associated with the wind vector pattern at this level during this time (see the green arrow in Figure 10(b)). Also, during this time, the southwest part of Afghanistan is affected by rather dry air, ∼35% of the relative humidity. This is because of the subsidence associated with strong downward motion (Figure 9). Also, Figure 9 shows that most discontinuities between low- and high-humidity areas can be associated with active frontal systems over the study area.
Figure 10

Relative humidity (left) and horizontal wind vector field (right) at a level of 700 hPa during 26 August 2020 in the study area.

Figure 10

Relative humidity (left) and horizontal wind vector field (right) at a level of 700 hPa during 26 August 2020 in the study area.

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Figure 11 shows low-level air temperatures (left) and horizontal wind vector field (right) at a level of 850 hPa. This figure shows that the warm air flows from southwest encounter into northeast cold air flows in the study area along with strong vertical motion (negative omega), which results in forming a convectional system over the study area. This figure shows a cold advection that centred on the northern boundaries of Afghanistan and extends from the north to the study area. However, the south of the country is covered by a rather stronger warm advection associated with stronger winds (Figure 11(b)). The warm air was extended from the southeast of Iran and moved towards the southern boundaries of the study area. This pattern also shows a discontinuity between a southern warmer and northern cold air mass controlled by an active frontal weather system in the study area. Figure 12 shows the anomalies for level air temperatures (a) and horizontal wind vector field (b) at a level of 850 hPa for 26 August 2020 within the active weather system. Figure 12(a) shows rather low-level colder temperatures ranging (∼1–5) over the study area. However, this map shows that the low-level temperature has increased over the southeast of Iran, southwest of Pakistan, Oman Sea, and Arabian Sea. This is associated with rather stronger heat-low forming during the study period rather than climate normal (see the anomaly maps in Figure 5). Also, the low-level wind anomalies (Figure 10(b)) clearly show the rather stronger wind shear over the study area during active weather systems in comparison to the climate normal. The baroclinicity has been increased due to wind shear between northern colder wind flows and rather humid (Figure 10(a)) and warm (Figure 11(a)) south easterly flow currents from eastern India and central Pakistan to the study area. This can intensify the active frontal system during a flooding case.
Figure 11

Air temperatures (a) and horizontal wind vector field (b) at a level of 850 hPa during 26 August 2020 in the study area.

Figure 11

Air temperatures (a) and horizontal wind vector field (b) at a level of 850 hPa during 26 August 2020 in the study area.

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Figure 12

Anomalies for level air temperatures (a) and horizontal wind vector field (b) at a level of 850 hPa during 26 August 2020.

Figure 12

Anomalies for level air temperatures (a) and horizontal wind vector field (b) at a level of 850 hPa during 26 August 2020.

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Figure 13 shows the composite mean (a), climate mean (b), and anomalies departure of the climate normal (c) of the upper tropospheric winds at a level of 300 hPa over the study area and during the study period. A comparison of the climate normal (11b) and composite mean (13a) displays an intensified jet stream core with a wavy pattern at ∼30 m/s (Figure 13(c)) shifted southward from ∼40°N to 35 °N (see the jet entrance in Figure 13(b) and 13(c)) over the study area. However, the pattern for the climate normal shows a broken and straight jet stream over Turkmenistan. It is a must to know the importance of the jet stream disrupting the local weather and climate patterns, which can cause some major weather shifts across the mid-latitudes, such as an increase in floods, drought, and heat waves due to global warming. The jet streams shifting northwards (southward) can be associated with amplified warming (cooling). A wavier jet stream that meanders up and down can result in substantial changes, and so the wavier jet stream such as meandering up and down may make strong changes with cooling and warming as it flows around the world. Also, the waves in the jet stream can lead to extreme weather events, sometimes triggering the storm systems or possible heat waves to move more smoothly or get stuck in location. For example, the northward move could create a less wavy jet stream. However, a southward shift would result in the inverse state with a wavier pattern associated with stronger frontal activities of longer duration, as we can see in the case study. For example, the outcomes of the comprehensive climate models mostly forecast the northward storm track shift due to climate change and global warming (Chang et al. 2012; Barnes & Polvani 2013; Vallis et al. 2014; Shaw et al. 2018).
Figure 13

Composite mean (a), climate mean (b), and anomalies departure of the climate normal (c) of the upper tropospheric winds at the level of 300 hPa over the study area and during the study period.

Figure 13

Composite mean (a), climate mean (b), and anomalies departure of the climate normal (c) of the upper tropospheric winds at the level of 300 hPa over the study area and during the study period.

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Figure 14 shows the longitude–height cross-section anomaly maps during the flooding case for geopotential height (a), air temperatures (b), relative humidity (c), and vertical velocity (d) averaged for latitudes (25–45°N) where the longitudinal region is between 55 and 80°E. This figure shows rather deeper mid-tropospheric trough formation with a maximum of 30 gpm (14a), colder low-level temperatures with a maximum of 4 K (14b), higher relative humidity with a maximum of 40%, and stronger omega at around −0.15 Pas−1 mostly over the mid-tropospheric level with respect to the climate normal, over the study region. This all can be associated with a rather stronger active frontal weather system over the study area during the flooding case. Also, it should be considered that local topography has a strong influence on the atmosphere which can alter the airflow. The interactions between topography and the atmosphere can create different precipitation patterns in different spatial scales, which may differ in the size and the structure of the valley and ridges. The relationship between topography and precipitation is appropriately robust to explain even very small changes in determined rainfall or in monsoon precipitation for the location of the cloud system (Anders et al. 2006; Rasmussen & Houze 2012). Here, in this work, the atmospheric processes have been strongly influenced by the specific regional topographical characteristics of the Charikar located in the Koh Daman Valley, which is surrounded by mountains. So, the westerly air flowing towards the mountains became warm and dry, holding low moisture and encountering rather colder, more moisture in the valley area along with stronger omega (strengthening the low-level convergence) rather than climate normal. This resulted in rather stronger baroclinicity forming a relatively stronger frontal system and forming severe precipitation in the study area.
Figure 14

Longitude–height cross-section anomaly maps for geopotential height (a), air temperatures (b), relative humidity (c), and vertical velocity (d). They are averaged for latitudes (25–45°N), where the longitudinal region is between 55 and 80°E during the flooding case.

Figure 14

Longitude–height cross-section anomaly maps for geopotential height (a), air temperatures (b), relative humidity (c), and vertical velocity (d). They are averaged for latitudes (25–45°N), where the longitudinal region is between 55 and 80°E during the flooding case.

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The atmospheric processes producing heavy precipitation on 26 August 2020 and causing severe floods affecting the northern districts of Parwan province, in Charikar, were analysed and explained in this study.

The temporal variations of surface temperature, relative humidity, and precipitation rate over Charikar during the last two decades for the month of August have been analysed. This has revealed a positive temperature trend, a rather drier atmosphere, and less precipitation mostly during the recent decade in comparison with the last two decades over the study area with a dramatic variation for all mentioned meteorological parameters during the year 2020 averaged for the month of August. Also, the calculation of the convective available potential energy and Showalter index obtained from the Skew-T log-pressure diagram for a grid point very close to the study region on the flooding day at 06Z show a high value of CAPE around 2,632 J/kg and −6.6 for Showalter index showing a very extreme instability in the study area during the study time. The daily MSL pressure for 26 August 2020 showed the extension of the surface heat low-pressure system to the study area in the form of a dynamical low-pressure trough along with the existence of a deep mid-tropospheric north-westerly trough cited over Uzbekistan and Tajikistan affecting the study region. Consideration of these patterns clearly showed the existence of an active classical frontal weather system on 26 August 2020 over the study region. A comparison of the mean long-term climatic characteristics of the low- and mid-level tropospheric shows more possible baroclinicity than climate normal values caused by a relatively more intense active weather system over the study area. Ertel's potential vorticity at 300 hPa over the Charikar area on 26 August 2020 shows at around 0.5 PVU, which is not a considerable potential streamer. So, it seems that this system should be triggered mostly by other factors such as thermodynamical and orographic aspects rather than the PV streamer. Low-level air temperatures and horizontal wind vectors have shown that the warm air flows from southwest encounter into northeast cold air flows in the study area along with strong vertical motion, which has led to form a convectional system over the study area. A comparison of the climate normal and composite mean displays an intensified jet stream core with a wavy pattern at ∼30 m/s shifted southward from ∼40°N to 35 °N over the study area. However, the pattern for the climate normal shows a broken and straight jet stream over Turkmenistan. However, a southward shift would result in cooling with a wavier pattern accompanied by stronger frontal activities with a rather long life as we can see in the case study. This work showed a rather stronger active frontal weather system over the study area during the flooding case. Also, it should be considered that local topography has a strong influence on the atmosphere, which can alter the airflow. The interactions between topography and the atmosphere can create different precipitation patterns in different spatial scales, which may differ in the size and the structure of the valley and ridges.

Here, in this work, the atmospheric processes have been strongly influenced by the specific regional topographical characteristics of the Charikar located in the Koh Daman Valley, which is surrounded by mountains. So, the westerly air flowing toward the mountains became warm and dry, holding low moisture and encountering rather colder, more moisture in the valley area along with stronger omega (strengthening the low-level convergence) rather than normal climate. This resulted in rather stronger baroclinicity forming a relatively stronger frontal system and forming severe precipitation in the study area.

But an extra systematic understanding of variations in the short-timescale extreme weather events, mainly in climate and weather quantities like temperature, winds, humidity, and precipitation, requires long-term observational datasets of higher temporal and even spatial resolution, such as daily or sub-daily basis. This has some limitations in many regions like Afghanistan. Also due to the importance of flood modelling for preventing and controlling, future works can be done in this direction.

Thanks are given to NOAA/ESRL PSD, Physical Science Division, Boulder Colorado web page through http://www.esrl.noaa.gov/psd/ and Giovanni online data system, developed and maintained by the NASA GES DISC and NASA LP DAAC at the USGS EROS Center. Also, thanks to the web page through https://www.globalsecurity.org/index.html for the Afghanistan map. Thanks to the Afghan Meteorological Department (AMD) for providing the required precipitation data. The authors would like to thank the anonymous referees for their valuable comments.

F.F.R. worked on conceptualization, data curation, formal analysis, and writing – original draft. V.S. worked on project administration, resources, validation, visualization, writing – review and editing.

The authors declare that the article is not funded by any scientific institution.

All relevant data are included in the paper or its Supplementary information.

The authors declare there is no conflict.

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