Pith. sign in

REVIEW 1 cited by

Estimation of Radio Refractivity from a Decade Satellite Derived Meteorological Data for West Africa

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2012.00245 v1 pith:LBAI4GVB submitted 2020-12-01 physics.ao-ph

classification physics.ao-ph
keywords radiorefractivityregionfoundwestacrossafricancommunication
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

Radio refractivity, which is the bending of radio signal as it propagates through media, is very important in works involving terrestrial atmospheric electromagnetic propagation such as point-to-point microwave communication, terrestrial radio and television broadcast, mobile communication system, and so on. This study has focused on the West African region where it was found that the region has a refractivity which varies exponentially with height and from the coast towards the desert. Generally, refractivity gradient was found to range between -46.48 and -29.51 N-units/km (k-factor value of between 1.23 and 1.42) across the region, splitting the between sub- and super-refraction. The variation in refraction type was found to follow seasonal pattern across the West African region, with sub-refraction dominating during dry season and super-refraction dominating most part in the coastal area during the wet season.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. OpenAlex reports about 245 citations worldwide. Full citation record

  1. Reconstruction of Partial Dissimilarity Matrices for Cognitive Neuroscience

    q-bio.NC 2025-05 conditional novelty 5.0 of 10

    A median-based geometric imputation algorithm reconstructs missing dissimilarity matrix entries with high correlation in empirical and simulated Euclidean-like data.

Pith tools