Multi-Technique Analysis of Precipitable Water Vapor Estimates in the sub-Sahel West Africa
Oluwasesan A. Falaiye, Oladiran J. Abimbola, Rachel T. Pinker, Daniel, P\'erez-Ram\'irez, Alexander. A. Willoughby

TL;DR
This study evaluates precipitable water vapor in sub-Sahel West Africa using AERONET data, calibrates empirical formulas, and assesses the accuracy of NWP models, revealing model overestimations and proposing a region-specific formula.
Contribution
It introduces a calibrated empirical formula for PWV estimation specific to sub-Sahel West Africa and evaluates NWP model performance in this region.
Findings
Empirical formula PWV=aT_d+b fits observed data well.
NWP models overestimate PWV by about 25%.
AERONET data effectively calibrates humidity-based PWV estimates.
Abstract
Precipitable water vapor (PWV) is an important climate parameter indicative of available moisture in the atmosphere, it is also an important greenhouse gas. Observations of precipitable water vapor in sub-Sahel West Africa are almost non-existent. Several Aerosol Robotic Network (AERONET) sites have been established across West Africa, and observations from four of them, namely, Ilorin (4.34o E, 8.32o N), Cinzana (5.93o W, 13.28o N), Banizoumbou (2.67o E, 13.54o N) and Dakar (16.96o W, 14.39o N) are being used in this study. Data spanning the period from 2004 to 2014 have been selected, they include conventional humidity parameters, remotely sensed aerosol and precipitable water information and numerical model outputs. Since in Africa, only conventional information on humidity parameters is available, it is important to utilize the unique observations from the AERONET network to…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
