Evidence map›Paper›PMID 39869217›Full record

ArticleEnvironmental monitoring and assessment2025

Assessing microclimatic influences in Colombo metropolitan area (CMA) amidst global climate change: a comprehensive study from 1980 to 2022.

Panchali U Fonseka, Hongsheng Zhang, Ranjith Premasiri, Chaminda Samarasuriya, Upaka Rathnayake

Abstract read
In one paragraph

Article in Environmental monitoring and assessment, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Panchali U FonsekaDepartment of Earth Resource Engineering, Faculty of the Engineering, University of Moratuwa, Katubedda, 10400, Sri Lanka. panchali.u.fonseka@gmail.com.
Hongsheng ZhangDepartment of Geography, The University of Hong Kong, Centennial Campus, Pokfulam Road, Hong Kong, China.
Ranjith PremasiriDepartment of Earth Resource Engineering, Faculty of the Engineering, University of Moratuwa, Katubedda, 10400, Sri Lanka.
Chaminda SamarasuriyaDepartment of Earth Resource Engineering, Faculty of the Engineering, University of Moratuwa, Katubedda, 10400, Sri Lanka.
Upaka RathnayakeDepartment of Civil Engineering and Construction, Faculty of Engineering and Design, Atlantic Technological University, Sligo, F91 YW50, Ireland. upaka.rathnayake@atu.ie.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate change has become an emerging topic, leading to widespread damage. However, when considering climate, attention is drawn to various scales, and urban microclimate has emerged as a trending subject due to its direct relevance to human living environments. Among the microclimatic factors, temperature and precipitation are utilized in order to identify trends. The identification of changes in precipitation and temperature from ground stations poses difficulties due to the lack of well-distributed stations; thus, satellite-based products are gaining popularity. The satellite products were validated against ground data, following which time-series and spatial analyses were conducted. The rainfall anomaly index, seasonality index, heat wave magnitude index, and mean temperature differ in the Colombo Metropolitan Area compared to the entire country. Each index is calculated decadal-wise to identify trends. By utilizing four climate indices, the analysis endeavors to investigate the microclimate identification in Colombo Metropolitan Area compared to its surrounding areas such as the Western Province and the entire country. This study aids local authorities in mitigating climate change by enhancing city resilience. These findings underscore the importance of understanding and addressing the impacts of climate change on temperature extremes to mitigate potential adverse effects on human activities and the environment. Understanding the specific reasons for spatial changes in rainfall anomalies often necessitates extensive climate modeling and data analysis.

Indexed as

Climate ChangeEnvironmental MonitoringMicroclimateCitiesRainTemperatureClimate changeHeat wave magnitude indexRainfall anomaly indexResilienceSatellite productsSeasonality index

Identifiers

PMID39869217
PMCPMC11772447

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.