↓ Skip to main content

Downscaled rainfall projections in south Florida using self-organizing maps

Overview of attention for article published in Science of the Total Environment, April 2018
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
20 X users
facebook
1 Facebook page

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
25 Mendeley
Title
Downscaled rainfall projections in south Florida using self-organizing maps
Published in
Science of the Total Environment, April 2018
DOI 10.1016/j.scitotenv.2018.04.144
Pubmed ID
Authors

Palash Sinha, Michael E. Mann, Jose D. Fuentes, Alfonso Mejia, Liang Ning, Weiyi Sun, Tao He, Jayantha Obeysekera

Abstract

We make future projections of seasonal precipitation characteristics in southern Florida using a statistical downscaling approach based on Self Organized Maps. Our approach is applied separately to each three-month season: September-November; December-February; March-May; and June-August. We make use of 19 different simulations from the Coupled Model Inter-comparison Project, phase 5 (CMIP5) and generate an ensemble of 1500 independent daily precipitation surrogates for each model simulation, yielding a grand ensemble of 28,500 total realizations for each season. The center and moments (25%ile and 75%ile) of this distribution are used to characterize most likely scenarios and their associated uncertainties. This approach is applied to 30-year windows of daily mean precipitation for both the CMIP5 historical simulations (1976-2005) and the CMIP5 future (RCP 4.5) projections. For the latter case, we examine both the "near future" (2021-2050) and "far future" (2071-2100) periods for three scenarios (RCP2.6, RCP4.5, and RCP8.5).

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 20%
Researcher 3 12%
Student > Doctoral Student 2 8%
Student > Postgraduate 2 8%
Student > Bachelor 1 4%
Other 4 16%
Unknown 8 32%
Readers by discipline Count As %
Engineering 8 32%
Environmental Science 5 20%
Earth and Planetary Sciences 2 8%
Mathematics 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Other 1 4%
Unknown 7 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 January 2021.
All research outputs
#2,995,194
of 25,382,440 outputs
Outputs from Science of the Total Environment
#3,955
of 29,635 outputs
Outputs of similar age
#59,165
of 339,945 outputs
Outputs of similar age from Science of the Total Environment
#91
of 610 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 29,635 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done well, scoring higher than 86% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 339,945 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 610 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.