ArticleHeliyon2024
Spatial and temporal variability of temperature, precipitation, and solar radiation in Magdalena department, Colombia from 2000 to 2022.
Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Climate variability analysis is crucial for understanding current patterns and predicting future climate behavior. This knowledge is essential for decision-making about mitigation and reduction activities to combat climate change from those activities that may cause abrupt changes in climate dynamics. The present study analyzed climate variability in the Magdalena department, Colombia, over a 22-year period. Temperature, solar radiation, and precipitation data from NASA's Giovanni reanalysis and simulation are used with data from local meteorological stations. Statistical homogeneity and trend tests were applied to find climate patterns using RStudio software. The results showed that the years 2010 and 2011 were the wettest in the time series. Conversely, 2015 was the warmest year on record in the time series. This analysis provides a more comprehensive understanding of the climate variability in the region, laying the foundation for future studies on this subject.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.