Dissertation/Thesis
Assessing Climate Trends in Bangladesh Using the Spatial Synoptic Classification
| Τίτλος: | Assessing Climate Trends in Bangladesh Using the Spatial Synoptic Classification |
|---|---|
| Συγγραφείς: | Nishat T. Sumaya, Jason C. Senkbeil, Scott C. Sheridan |
| Πηγή: | Climate ; Volume 13 ; Issue 11 ; Pages: 222 |
| Στοιχεία εκδότη: | Multidisciplinary Digital Publishing Institute |
| Έτος έκδοσης: | 2025 |
| Συλλογή: | MDPI Open Access Publishing |
| Θεματικοί όροι: | climate change, Bangladesh, tropical monsoon, synoptic classification, weather types |
| Θέμα γεωγραφικό: | agris |
| Περιγραφή: | Climate change is reshaping weather patterns and atmospheric circulation globally, particularly in monsoon-dominated tropical environments. To examine how these changes are unfolding in Bangladesh, we extend the Spatial Synoptic Classification (SSC) using ERA5 reanalysis (1960–2024) at three representative stations (Chittagong, Khulna, and Sylhet) to assess long-term changes in the SSC weather types and their internal meteorological properties. The SSC calendars were constructed and analyzed for seasonal distribution, interannual trends, and decadal anomalies of temperature and dew point. Results reveal that Bangladesh’s climatology is dominated by Moist Tropical (MT), Moist Moderate (MM), and Dry Moderate (DM) weather types with a coherent seasonal cycle. Interannually, MT increased strongly across all stations, while MM and DM declined significantly. Decadal anomalies show consistent warming and moistening since the 2000s, which are most pronounced for Dry Tropical (DT) and MT. These findings indicate that climate change in Bangladesh is expressed not only through shifting frequencies but also through evolving thermodynamic characteristics of daily weather types, underscoring the SSC framework’s value in tropical monsoon regions for generating actionable climate information to support heat-stress planning and climate-health services. |
| Τύπος εγγράφου: | Thesis |
| Περιγραφή αρχείου: | application/pdf |
| Γλώσσα: | English |
| Relation: | https://dx.doi.org/10.3390/cli13110222 |
| DOI: | 10.3390/cli13110222 |
| Διαθεσιμότητα: | https://doi.org/10.3390/cli13110222 |
| Rights: | https://creativecommons.org/licenses/by/4.0/ |
| Αριθμός Καταχώρησης: | edsbas.3CFB30A5 |
| Βάση Δεδομένων: | BASE |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://doi.org/10.3390/cli13110222# Name: EDS - BASE (ns324271) Category: fullText Text: View record from BASE |
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| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Assessing Climate Trends in Bangladesh Using the Spatial Synoptic Classification – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Nishat+T%2E+Sumaya%22">Nishat T. Sumaya</searchLink><br /><searchLink fieldCode="AR" term="%22Jason+C%2E+Senkbeil%22">Jason C. Senkbeil</searchLink><br /><searchLink fieldCode="AR" term="%22Scott+C%2E+Sheridan%22">Scott C. Sheridan</searchLink> – Name: TitleSource Label: Source Group: Src Data: Climate ; Volume 13 ; Issue 11 ; Pages: 222 – Name: Publisher Label: Publisher Information Group: PubInfo Data: Multidisciplinary Digital Publishing Institute – Name: DatePubCY Label: Publication Year Group: Date Data: 2025 – Name: Subset Label: Collection Group: HoldingsInfo Data: MDPI Open Access Publishing – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22climate+change%22">climate change</searchLink><br /><searchLink fieldCode="DE" term="%22Bangladesh%22">Bangladesh</searchLink><br /><searchLink fieldCode="DE" term="%22tropical+monsoon%22">tropical monsoon</searchLink><br /><searchLink fieldCode="DE" term="%22synoptic+classification%22">synoptic classification</searchLink><br /><searchLink fieldCode="DE" term="%22weather+types%22">weather types</searchLink> – Name: Subject Label: Subject Geographic Group: Su Data: <searchLink fieldCode="DE" term="%22agris%22">agris</searchLink> – Name: Abstract Label: Description Group: Ab Data: Climate change is reshaping weather patterns and atmospheric circulation globally, particularly in monsoon-dominated tropical environments. To examine how these changes are unfolding in Bangladesh, we extend the Spatial Synoptic Classification (SSC) using ERA5 reanalysis (1960–2024) at three representative stations (Chittagong, Khulna, and Sylhet) to assess long-term changes in the SSC weather types and their internal meteorological properties. The SSC calendars were constructed and analyzed for seasonal distribution, interannual trends, and decadal anomalies of temperature and dew point. Results reveal that Bangladesh’s climatology is dominated by Moist Tropical (MT), Moist Moderate (MM), and Dry Moderate (DM) weather types with a coherent seasonal cycle. Interannually, MT increased strongly across all stations, while MM and DM declined significantly. Decadal anomalies show consistent warming and moistening since the 2000s, which are most pronounced for Dry Tropical (DT) and MT. These findings indicate that climate change in Bangladesh is expressed not only through shifting frequencies but also through evolving thermodynamic characteristics of daily weather types, underscoring the SSC framework’s value in tropical monsoon regions for generating actionable climate information to support heat-stress planning and climate-health services. – Name: TypeDocument Label: Document Type Group: TypDoc Data: Thesis – Name: Format Label: File Description Group: SrcInfo Data: application/pdf – Name: Language Label: Language Group: Lang Data: English – Name: NoteTitleSource Label: Relation Group: SrcInfo Data: https://dx.doi.org/10.3390/cli13110222 – Name: DOI Label: DOI Group: ID Data: 10.3390/cli13110222 – Name: URL Label: Availability Group: URL Data: https://doi.org/10.3390/cli13110222 – Name: Copyright Label: Rights Group: Cpyrght Data: https://creativecommons.org/licenses/by/4.0/ – Name: AN Label: Accession Number Group: ID Data: edsbas.3CFB30A5 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.3CFB30A5 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/cli13110222 Languages: – Text: English Subjects: – SubjectFull: agris Type: general – SubjectFull: climate change Type: general – SubjectFull: Bangladesh Type: general – SubjectFull: tropical monsoon Type: general – SubjectFull: synoptic classification Type: general – SubjectFull: weather types Type: general Titles: – TitleFull: Assessing Climate Trends in Bangladesh Using the Spatial Synoptic Classification Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Nishat T. Sumaya – PersonEntity: Name: NameFull: Jason C. Senkbeil – PersonEntity: Name: NameFull: Scott C. Sheridan IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2025 Identifiers: – Type: issn-locals Value: edsbas – Type: issn-locals Value: edsbas.oa Titles: – TitleFull: Climate ; Volume 13 ; Issue 11 ; Pages: 222 Type: main |
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