Assessing climatic trends of extreme rainfall indices over northeast Bangladesh

Basher, Md. Abul; Stiller-Reeve, Mathew; Islam, Akm Saiful; Bremer, Scott

doi:10.1007/s00704-017-2285-4

Cited by 50 publications

(37 citation statements)

References 47 publications

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“…These changes will subsequently have impact on agriculture, food supply, irrigation and hydropower in the area of concern. For example, the monsoon floods are necessary for fertilizing the paddy fields and replenishing fish stocks in the haor lakes [6]. Thus, the declining trend of monsoon rainfall detected for the eastern districts of Bangladesh can affect paddy and fish production in this region.…”

Section: Discussionmentioning

confidence: 99%

“…The amount and distribution of total rainfall in wet days (PRCPTOT), especially during the pre-monsoon, influence the water levels in the seasonal haor lakes. Subsequently, the increasing trend of pre-monsoon rainfall and decreasing trend of consecutive dry days in the eastern regions of the country may help to increase soil moisture contents as well as Boro rice productivity [6]. This can also reduce the pressure on groundwater for irrigation in the areas.…”

Section: Discussionmentioning

confidence: 99%

“…Based on seasonal analysis, Jain et al [22] and Deshpande et al [10] also observed negative trends of − 30.3 to − 2.0 mm/ decade in monsoon rainfall over major river basins of India. Basher et al [6] reported decreasing trend in the monsoon seasonal total rainfall over northeast Bangladesh. Shahid [43] detected a significant increase in pre-monsoon rainfall over Bangladesh.…”

Section: Rainfall Trendsmentioning

confidence: 97%

“…For example, Yazid and Humphries [54] observed trends of − 8.5 to 11.2 days/decade for CDD, − 14.9 to 11.6 days/decade for CWD, − 7.4 to 5.4 days/decade for R10mm, − 4.5 to 2.9 days/decade for R20mm, − 6.7 to 1.1 mm/decade for RX1day, − 13.9 to 22.3 mm/decade for RX5day, and − 0.7 to 0.9 mm/day per decade for SDII indices over Indochina Peninsula countries (Vietnam, Thailand, Myanmar, Cambodia, Laos, parts of Malaysia, China, Bangladesh, and India). Basher et al [6] reported trends of − 1.9 to 2.0 days/decade for CDD, − 3.3 to 0.4 days/decade for CWD, − 76.4 to 43.2 mm/decade for PRCPTOT, − 11.7 to 2.5 mm/decade for RX1day, − 25.4 to − 2.7 mm/decade for RX5day, and − 2.4 to 1.5 mm/day per decade for SDII over northeastern region of Bangladesh. Deshpande et al [10] observed trend of − 0.3 to 0.5 days/decade for heavy rainfall days (R10mm) over major river basins of India.…”

Section: Intensity Indicesmentioning

confidence: 99%

“…These studies reported high rainfall variability, erratic seasonal patterns and declining rainfall trend over various parts of the country. Studies on the variability of extreme rainfall events in Bangladesh include Shahid [44] and Basher et al [6]. These studies saw a decreasing trend in consecutive wet days and an increasing trend in consecutive dry days, particularly for the northern parts of Bangladesh.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Long-term trends in precipitation indices at eastern districts of Bangladesh

Rakib

2019

SN Appl. Sci.

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This study analyzed the trends of extreme daily rainfall indices over three meteorological stations located in the eastern region of Bangladesh from 1960 to 2000. The climate change-related indices included frequency-based indices: number of heavy rainfall days and consecutive dry and wet days, and intensity-based indices: annual wet-day rainfall total, daily and consecutive five-day maximum rainfall, very and extremely wet days and simple daily intensity index. The magnitude of trends in extreme rainfall indices time series was determined using the nonparametric Sen's slope estimator method, and the statistical significance of the trends was analyzed using the Mann-Kendall test. The rainfall trends exhibited regional patterns. Overall, results suggested an increase in annual rainfall over the study area; however, a tendency toward reduction of rainfall in the wet season was observed. Analysis of extreme rainfall indices demonstrated non-significant increase in frequency of heavy rainfall days, decrease in consecutive dry days and increase in consecutive wet days coupled with regional decline in daily and consecutive five-day maximum rainfall in the monsoon.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Rainfall Trendsmentioning

confidence: 97%

Section: Intensity Indicesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Long-term trends in precipitation indices at eastern districts of Bangladesh

Rakib

2019

SN Appl. Sci.

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Interannual variability of monsoon onset and withdrawal in Bangladesh

Montes

Acharya

Stiller-Reeve

et al. 2021

Atmospheric Science Letters

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This research investigates the interannual variability of monsoon onset and withdrawal in Bangladesh, both of which are major climate features shaping multiple societal activities. There is considerable research on the monsoon timing in South Asia, but with much less focus on Bangladesh. We applied a local monsoon onset and withdrawal definition to observations and the latest-generation high-resolution gridded precipitation data from the Climate Hazards Center for the period 1981 through 2018. We analyzed the interannual variability in monsoon timing in Bangladesh and its teleconnection with the sea surface temperature anomalies (SSTA) over the Pacific Ocean (El Niño Southern Oscillation, ENSO) and the Indian Ocean (IO). The monsoon starts with early significant rains in northeast Bangladesh and propagates westward, and a similar pattern is observed for withdrawal, which tends to be more homogeneous in time and space. A high spatial and temporal variability in monsoon onset and withdrawal is observed in Bangladesh, with a within-country average range of around 1 month despite it being a country of relatively small size. The association between monsoon onset and withdrawal and ENSO and IO is addressed at the country and regional level by analyzing composites for different ENSO and IO phases and associated atmospheric circulation and moisture transport. A similar association between monsoon onset and ENSO and IO phases was found, with generally earlier (later) onset dates during the negative (positive) phase of ENSO and IO. Monsoon withdrawal shows a clearer association with ENSO, with earlier (later) dates during the positive (negative) phase. Monsoon withdrawal is earlier during the negative IO phase. SSTA-induced anomalies in circulation and moisture transport contribute to anomalies in monsoon timing. Results suggest both ENSO and IOD can be potentially used as sources of predictability of monsoon onset and withdrawal over specific regions of Bangladesh.

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Storm types in Bangladesh: duration, intensity and area of intra‐daily wet events

Moron

Acharya

Hassan³

2022

Intl Journal of Climatology

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We explore the characteristics of 96190 wet events (WE) defined as consecutive 3-hourly rainfall >= 1 mm/3h from a network of 34 stations across Bangladesh. Nearly 60% (5%) of wet events last <= 3 (>= 15) hours. The WEs are dynamically clustered into four "canonical" storm types (ST), mostly discretized by their duration, but also their mean and maximal intensity. While durations, total amounts and wet contiguous areas of WEs are positively related, their mean intensity is nearly independent of them. ~ 60% of WEs are associated with ST#1, that is short and small WEs and very low rainfall amounts (usually < 10 mm), ~15% of WEs are associated with either (ST#2) short/small WEs but with intense rainfall, probably mostly related to scattered thunderstorms, or (ST#3) longer/larger WEs but with less intense rainfall. The last ST (ST#4) is rare (~ 6%), related to very long durations and large wet areas, and includes the wettest WEs. It is especially frequent over southeastern Bangladesh. ST#2 to #4 contribute almost equally to the local-scale total amount of rainfall (27-29% each in mean) while ST#1, despite its individual low rainfall amount, still includes ~ 15% of it. ST#2 (ST#4) is related to the highest probability of occurrence of 3-hourly (daily) extremes. ST#4 occurrence is the most impacted by synoptic Indian lows/depressions as well as the main modes of intraseasonal variation, while ST#1 and #2 are also significantly impacted by intraseasonal modes but in reverse manner than ST#4.

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Assessing climatic trends of extreme rainfall indices over northeast Bangladesh

Cited by 50 publications

References 47 publications

Long-term trends in precipitation indices at eastern districts of Bangladesh

Long-term trends in precipitation indices at eastern districts of Bangladesh

Interannual variability of monsoon onset and withdrawal in Bangladesh

Storm types in Bangladesh: duration, intensity and area of intra‐daily wet events

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