UV Index Forecasting under the Influence of Desert Dust: Evaluation against Surface and Satellite-Retrieved Data

<div><p>Human exposure to healthy doses of UV radiation is required for vitamin D synthesis, but exposure to excessive UV irradiance leads to several harmful impacts ranging from premature wrinkles to dangerous skin cancer. However, for countries located in the global dust belt, accurate...

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Main Author: Dillan Raymond Roshan (18094867) (author)
Other Authors: Muammer Koc (16078064) (author), Amir Abdallah (18094870) (author), Luis Martin-Pomares (18094873) (author), Rima Isaifan (18094876) (author), Christos Fountoukis (4722963) (author)
Published: 2020
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_version_ 1864513525418819584
author Dillan Raymond Roshan (18094867)
author2 Muammer Koc (16078064)
Amir Abdallah (18094870)
Luis Martin-Pomares (18094873)
Rima Isaifan (18094876)
Christos Fountoukis (4722963)
author2_role author
author
author
author
author
author_facet Dillan Raymond Roshan (18094867)
Muammer Koc (16078064)
Amir Abdallah (18094870)
Luis Martin-Pomares (18094873)
Rima Isaifan (18094876)
Christos Fountoukis (4722963)
author_role author
dc.creator.none.fl_str_mv Dillan Raymond Roshan (18094867)
Muammer Koc (16078064)
Amir Abdallah (18094870)
Luis Martin-Pomares (18094873)
Rima Isaifan (18094876)
Christos Fountoukis (4722963)
dc.date.none.fl_str_mv 2020-01-13T03:00:00Z
dc.identifier.none.fl_str_mv 10.3390/atmos11010096
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/UV_Index_Forecasting_under_the_Influence_of_Desert_Dust_Evaluation_against_Surface_and_Satellite-Retrieved_Data/25334194
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Earth sciences
Atmospheric sciences
WRF-Chem
solar radiation
aerosol
mineral dust
OMI Aura
UVA
UVB
Arabian desert
dc.title.none.fl_str_mv UV Index Forecasting under the Influence of Desert Dust: Evaluation against Surface and Satellite-Retrieved Data
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <div><p>Human exposure to healthy doses of UV radiation is required for vitamin D synthesis, but exposure to excessive UV irradiance leads to several harmful impacts ranging from premature wrinkles to dangerous skin cancer. However, for countries located in the global dust belt, accurate estimation of the UV irradiance is challenging due to a strong impact of desert dust on incoming solar radiation. In this work, a UV Index forecasting capability is presented, specifically developed for dust-rich environments, that combines the use of ground-based measurements of broadband irradiances UVA (320–400 nm) and UVB (280–315 nm), NASA OMI Aura satellite-retrieved data and the meteorology-chemistry mesoscale model WRF-Chem. The forecasting ability of the model is evaluated for clear sky days as well as during the influence of dust storms in Doha, Qatar. The contribution of UV radiation to the total incoming global horizontal irradiance (GHI) ranges between 5% and 7% for UVA and 0.1% and 0.22% for UVB. The UVI forecasting performance of the model is quite encouraging with an absolute average error of less than 6% and a correlation coefficient of 0.93. In agreement with observations, the model predicts that the UV Index at local noontime can drop from 10–11 on clear sky days to approximately 6–7 during typical dusty conditions in the Arabian Peninsula—an effect similar to the presence of extensive cloud cover.</p><p> </p></div><h2>Other Information</h2> <p> Published in: Atmosphere<br> License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/atmos11010096" target="_blank">https://dx.doi.org/10.3390/atmos11010096</a></p>
eu_rights_str_mv openAccess
id Manara2_d334bd37b37139bebf3271463679b67a
identifier_str_mv 10.3390/atmos11010096
network_acronym_str Manara2
network_name_str Manara2
oai_identifier_str oai:figshare.com:article/25334194
publishDate 2020
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv CC BY 4.0
spelling UV Index Forecasting under the Influence of Desert Dust: Evaluation against Surface and Satellite-Retrieved DataDillan Raymond Roshan (18094867)Muammer Koc (16078064)Amir Abdallah (18094870)Luis Martin-Pomares (18094873)Rima Isaifan (18094876)Christos Fountoukis (4722963)Earth sciencesAtmospheric sciencesWRF-Chemsolar radiationaerosolmineral dustOMI AuraUVAUVBArabian desert<div><p>Human exposure to healthy doses of UV radiation is required for vitamin D synthesis, but exposure to excessive UV irradiance leads to several harmful impacts ranging from premature wrinkles to dangerous skin cancer. However, for countries located in the global dust belt, accurate estimation of the UV irradiance is challenging due to a strong impact of desert dust on incoming solar radiation. In this work, a UV Index forecasting capability is presented, specifically developed for dust-rich environments, that combines the use of ground-based measurements of broadband irradiances UVA (320–400 nm) and UVB (280–315 nm), NASA OMI Aura satellite-retrieved data and the meteorology-chemistry mesoscale model WRF-Chem. The forecasting ability of the model is evaluated for clear sky days as well as during the influence of dust storms in Doha, Qatar. The contribution of UV radiation to the total incoming global horizontal irradiance (GHI) ranges between 5% and 7% for UVA and 0.1% and 0.22% for UVB. The UVI forecasting performance of the model is quite encouraging with an absolute average error of less than 6% and a correlation coefficient of 0.93. In agreement with observations, the model predicts that the UV Index at local noontime can drop from 10–11 on clear sky days to approximately 6–7 during typical dusty conditions in the Arabian Peninsula—an effect similar to the presence of extensive cloud cover.</p><p> </p></div><h2>Other Information</h2> <p> Published in: Atmosphere<br> License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/atmos11010096" target="_blank">https://dx.doi.org/10.3390/atmos11010096</a></p>2020-01-13T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.3390/atmos11010096https://figshare.com/articles/journal_contribution/UV_Index_Forecasting_under_the_Influence_of_Desert_Dust_Evaluation_against_Surface_and_Satellite-Retrieved_Data/25334194CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/253341942020-01-13T03:00:00Z
spellingShingle UV Index Forecasting under the Influence of Desert Dust: Evaluation against Surface and Satellite-Retrieved Data
Dillan Raymond Roshan (18094867)
Earth sciences
Atmospheric sciences
WRF-Chem
solar radiation
aerosol
mineral dust
OMI Aura
UVA
UVB
Arabian desert
status_str publishedVersion
title UV Index Forecasting under the Influence of Desert Dust: Evaluation against Surface and Satellite-Retrieved Data
title_full UV Index Forecasting under the Influence of Desert Dust: Evaluation against Surface and Satellite-Retrieved Data
title_fullStr UV Index Forecasting under the Influence of Desert Dust: Evaluation against Surface and Satellite-Retrieved Data
title_full_unstemmed UV Index Forecasting under the Influence of Desert Dust: Evaluation against Surface and Satellite-Retrieved Data
title_short UV Index Forecasting under the Influence of Desert Dust: Evaluation against Surface and Satellite-Retrieved Data
title_sort UV Index Forecasting under the Influence of Desert Dust: Evaluation against Surface and Satellite-Retrieved Data
topic Earth sciences
Atmospheric sciences
WRF-Chem
solar radiation
aerosol
mineral dust
OMI Aura
UVA
UVB
Arabian desert