Evidence map›Paper›PMID 39747240›Full record

ArticleScientific reports2025

Projected changes in climate extremes over Tanzania.

Philbert Modest Luhunga

Abstract read
In one paragraph

Article in Scientific reports, 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

1 author.

Philbert Modest LuhungaDepartment of Documentation and Publication, Directorate of Knowledge Management, Commission for Science and Technology, Dar Es Salaam, Tanzania. philuhunga@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding projected changes in climate extremes at local and regional scales is critical for reducing society's vulnerability to such extremes, as it helps to devise informed adaptation strategies and contributes to informed decision-making processes. In this paper, we analysed projected changes in climate extremes across regions in Tanzania using outputs of high-resolution regional climate models from the Coordinated Regional Climate Downscaling Experiment program (CORDEX-Africa). The indices analysed here are those recommended by the Expert Team on Climate Change Detection and Indices (ETCCDI) to characterise climate extremes over different regions. The results revealed that Tanzania would experience an increased number of warm days and nights during the present (2011-2040), mid (2041-2070), and end centuries under the RCP4.5 emission scenarios. Further, projections reveal that in future climate conditions, heavy, very heavy and exceptionally heavy rainfall events would dominate over regions along coast, central regions, northwestern parts and southwestern and northeastern highland.The number of consecutive wet days (CWDs) are likely to increase across large areas of Tanzania and more rapidily over coastal regions than that in other regions for all seasons. However, many regions in Tanzania are likely to experience an unchanged to decreasing number of consecutive dry days (CDDs). Areas along coastal regions would experience increased intensity and frequency of extreme rainfall events in the present, mid, and end centuries under the RCP4.5 emission scenario. These increases in extreme climate events are likely to pose significant damage to property, destruction of infrastructure, and other socioeconomic livelihoods for people in many regions of Tanzania. It is therefore recommended that appropriate policies are put in place to help different sectors and communities at large adapt the impacts of climate change in the future climate under RCP 4.5 scenario.

Indexed as

Climate extremeClimate indicesCORDEXRegional climate modelsTanzania

Identifiers

PMID39747240
PMCPMC11696172

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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.