Assessing the spatio-temporal distribution of extreme heat events in Mozambique using the CHIRTS temperature dataset for 1983-2016.

C. Pereira Marghidan; J.I. Blanford; M.K. van Aalst; Kiswendsida Guigma; Genito Maure; Izidine Pinto; J. Arrighi; Tatiana Marrufo

doi:10.5281/zenodo.6408101

Assessing the spatio-temporal distribution of extreme heat events in Mozambique using the CHIRTS temperature dataset for 1983-2016.

C. Pereira Marghidan
, J.I. Blanford
, M.K. van Aalst
, Kiswendsida Guigma
, Genito Maure
, Izidine Pinto
, J. Arrighi
, Tatiana Marrufo

Research output: Contribution to conference › Paper › peer-review

101 Downloads (Pure)

Abstract

The frequency, duration, and intensity of extreme heat events are increasing worldwide, posing a significant threat to public health. However, these events have been largely under-reported and understudied across the African continent. Consequently, the nature of extreme heat hazards and the impacts of such events across Africa remain largely unknown. This research aims to address this research gap by characterising extreme heat events and their trends for Mozambique using the high- resolution remotely sensed CHIRTS-daily temperature data for 1983-2016. The results can be used for heat impact assessments and development of heat early warning system for Mozambique and other data-scarce regions.

Original language	English
Number of pages	6
DOIs	https://doi.org/10.5281/zenodo.6408101
Publication status	Published - 2 Apr 2022
Event	30th Annual Geographical Information Science Research UK, GISRUK 2022 - UK, Liverpool, United Kingdom Duration: 5 Apr 2022 → 8 Apr 2022 Conference number: 30

Conference

Conference	30th Annual Geographical Information Science Research UK, GISRUK 2022
Abbreviated title	GISRUK 2022
Country/Territory	United Kingdom
City	Liverpool
Period	5/04/22 → 8/04/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 13 Climate Action

Keywords

Geo-health
Heat wave
Geospatial analysis
geo-health
Geo-Informatics
Climate change impact

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10.5281/zenodo.6408101Licence: CC BY

GISRUK_2022_paper_96Final published version, 5.27 MBLicence: CC BY

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Pereira Marghidan, C., Blanford, J. I., van Aalst, M. K., Guigma, K., Maure, G., Pinto, I., Arrighi, J., & Marrufo, T. (2022). Assessing the spatio-temporal distribution of extreme heat events in Mozambique using the CHIRTS temperature dataset for 1983-2016.. Paper presented at 30th Annual Geographical Information Science Research UK, GISRUK 2022, Liverpool, United Kingdom. https://doi.org/10.5281/zenodo.6408101

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title = "Assessing the spatio-temporal distribution of extreme heat events in Mozambique using the CHIRTS temperature dataset for 1983-2016.",

abstract = "The frequency, duration, and intensity of extreme heat events are increasing worldwide, posing a significant threat to public health. However, these events have been largely under-reported and understudied across the African continent. Consequently, the nature of extreme heat hazards and the impacts of such events across Africa remain largely unknown. This research aims to address this research gap by characterising extreme heat events and their trends for Mozambique using the high- resolution remotely sensed CHIRTS-daily temperature data for 1983-2016. The results can be used for heat impact assessments and development of heat early warning system for Mozambique and other data-scarce regions.",

keywords = "Geo-health, Heat wave, Geospatial analysis, geo-health, Geo-Informatics, Climate change impact",

author = "\{Pereira Marghidan\}, C. and J.I. Blanford and \{van Aalst\}, M.K. and Kiswendsida Guigma and Genito Maure and Izidine Pinto and J. Arrighi and Tatiana Marrufo",

year = "2022",

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Pereira Marghidan, C, Blanford, JI, van Aalst, MK, Guigma, K, Maure, G, Pinto, I, Arrighi, J & Marrufo, T 2022, 'Assessing the spatio-temporal distribution of extreme heat events in Mozambique using the CHIRTS temperature dataset for 1983-2016.', Paper presented at 30th Annual Geographical Information Science Research UK, GISRUK 2022, Liverpool, United Kingdom, 5/04/22 - 8/04/22. https://doi.org/10.5281/zenodo.6408101

Assessing the spatio-temporal distribution of extreme heat events in Mozambique using the CHIRTS temperature dataset for 1983-2016. / Pereira Marghidan, C.; Blanford, J.I.; van Aalst, M.K. et al.
2022. Paper presented at 30th Annual Geographical Information Science Research UK, GISRUK 2022, Liverpool, United Kingdom.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - Assessing the spatio-temporal distribution of extreme heat events in Mozambique using the CHIRTS temperature dataset for 1983-2016.

AU - Pereira Marghidan, C.

AU - Blanford, J.I.

AU - van Aalst, M.K.

AU - Guigma, Kiswendsida

AU - Maure, Genito

AU - Pinto, Izidine

AU - Arrighi, J.

AU - Marrufo, Tatiana

N1 - Conference code: 30

PY - 2022/4/2

Y1 - 2022/4/2

N2 - The frequency, duration, and intensity of extreme heat events are increasing worldwide, posing a significant threat to public health. However, these events have been largely under-reported and understudied across the African continent. Consequently, the nature of extreme heat hazards and the impacts of such events across Africa remain largely unknown. This research aims to address this research gap by characterising extreme heat events and their trends for Mozambique using the high- resolution remotely sensed CHIRTS-daily temperature data for 1983-2016. The results can be used for heat impact assessments and development of heat early warning system for Mozambique and other data-scarce regions.

AB - The frequency, duration, and intensity of extreme heat events are increasing worldwide, posing a significant threat to public health. However, these events have been largely under-reported and understudied across the African continent. Consequently, the nature of extreme heat hazards and the impacts of such events across Africa remain largely unknown. This research aims to address this research gap by characterising extreme heat events and their trends for Mozambique using the high- resolution remotely sensed CHIRTS-daily temperature data for 1983-2016. The results can be used for heat impact assessments and development of heat early warning system for Mozambique and other data-scarce regions.

KW - Geo-health

KW - Heat wave

KW - Geospatial analysis

KW - geo-health

KW - Geo-Informatics

KW - Climate change impact

U2 - 10.5281/zenodo.6408101

DO - 10.5281/zenodo.6408101

M3 - Paper

T2 - 30th Annual Geographical Information Science Research UK, GISRUK 2022

Y2 - 5 April 2022 through 8 April 2022

ER -

Assessing the spatio-temporal distribution of extreme heat events in Mozambique using the CHIRTS temperature dataset for 1983-2016.

Abstract

Conference

UN SDGs

Keywords

Access to Document

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Cite this