Statistics for climate informatics

Lyubchich, Vyacheslav; Rhines, A. N.; Shen, Samuel S. P.

doi:10.1002/env.2567

Cited by 1 publication

(1 citation statement)

References 8 publications

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“…Most of African countries (Tufa et al 2014) like Botswana (Nkemelang et al 2018) are lagged behind in terms of climate informatics (Vyacheslav et al 2019) and environmental data science (Gibert et al 2018, Vyacheslav et al 2019. This can be attributed to lack of readily available platforms and data as also pointed out in (Schuol & Abbaspour 2007, Tufa et al 2014 (Bonifacio et al 2015) in such it deconstructs the URL for a given station and then modifies the date range and the desired temporal resolution to extract desired weather data.…”

Section: Related Literature Reviewmentioning

confidence: 99%

SASSCAL WebSAPI: A Web Scraping Application Programming Interface to Support Access to SASSCAL’s Weather Data

Thapelo

Namoshe

Matsebe

et al. 2021

Data Science Journal

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The Southern African Science Service Centre for Climate and Land Management (SASSCAL) was initiated to support regional weather monitoring and climate research in Southern Africa. As a result, several Automatic Weather Stations (AWSs) were implemented to provide numerical weather data within the collaborating countries. Meanwhile, access to the SASSCAL weather data is limited to a number of records that are achieved via a series of clicks. Currently, end users can not efficaciously extract the desired weather values. Thus, the data is not fully utilised by end users. This work contributes with an open source Web Scraping Application Programming Interface (WebSAPI) through an interactive dashboard. The objective is to extend functionalities of the SASSCAL Weathernet for: data extraction, statistical data analysis and visualisation. The SASSCAL WebSAPI was developed using the R statistical environment. It deploys web scraping and data wrangling techniques to support access to SASSCAL weather data. This WebSAPI reduces the risk of human error, and the researcher's effort of generating desired data sets. The proposed framework for the SASSCAL WebSAPI can be modified for other weather data banks while taking into consideration the legality and ethics of the toolkit.

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