Deciphering the performance of satellite based daily rainfall products over Zambia

Libanda, Brigadier; Mie, Zheng; Nyasa, Linda; Chilekana, Ngonga

doi:10.1007/s11600-020-00429-w

Artykuł - szczegóły

Tytuł artykułu

Deciphering the performance of satellite based daily rainfall products over Zambia

Autorzy

Libanda Brigadier , Mie Zheng , Nyasa Linda , Chilekana Ngonga

Wybrane pełne teksty z tego czasopisma

https://www.springer.com/journal/11600

Identyfikatory

DOI

10.1007/s11600-020-00429-w

Warianty tytułu

Języki publikacji

Abstrakty

The amount and distribution of precipitation plays a vital role in the management of water resources, agriculture and foodrisk preparedness. Unfortunately, Zambia like many other developing countries is a highly data-scarce country with few and unevenly distributed meteorological stations. The objective of this study was to run a comparative analysis of satellite-based rainfall products (SRPs) and gauge data to ascertain the reliability of using SRPs for daily rainfall measurements in Zambia. The four daily SRPs examined in this study include the following: The Tropical Applications of Meteorology using Satellite and ground-based observations version 3 (TAMSATv3), Precipitation Estimation from Remotely Sensed Information using Artifcial Neural Networks (PERSIANN), the Climate Hazards group InfraRed Precipitation with Station data version 2 (CHIRPSv2.0), and the African Rainfall Climatology Version 2 (ARCv2). SRPs were compared to rain gauge data from 35 meteorological, agrometeorological, and climatological stations in Zambia for the period 1998–2015. Statistical analyses were extensively carried out at temporal scales inter alia daily, monthly, seasonal and annual. Comparisons were also done for three stations lying at the highest, middle and lowest elevations to examine the ability of SRPs to capture precipitation occurrences on complex topography. Strong coefcient of determination (>0.9) of all the SRPs and gauge data were found at the monthly scale even over multifaceted topography. However, the ability of these products to capture rain gauge data at daily, seasonal and annual scales difers markedly. Specifcally, PERSIANN outperforms all the other SRPs at all scales, CHIRPSv2.0 is rated second, followed by TAMSATv3 and ARCv2, respectively. These results suggest that PERSIANN can reliably be used in studies that seek to estimate rainfall in data-sparse regions of Zambia at any temporal scale and arrive at similar results to rain gauge data.

Słowa kluczowe

precipitation gauge data Zambia satellite-based rainfall products

opad atmosferyczny miernik dane Zambia

Wydawca

Instytut Geofizyki PAN
Springer

Czasopismo

Acta Geophysica

Rocznik

2020

Tom

Vol. 68, no. 3

Strony

903--919

Opis fizyczny

Bibliogr. 65 poz.

Twórcy

autor

Libanda Brigadier

brigadier.libanda@ed.ac.uk

School of Geosciences, The University of Edinburgh, Edinburgh EH9 3FF, UK

autor

Mie Zheng

School of Civil Engineering and Geosciences, Newcastle University, Newcastle NE1 4LY, UK

autor

Nyasa Linda

Ministry of Lands, Natural Resources and Environmental Protection, P.O. Box 50694, Lusaka, Zambia

autor

Chilekana Ngonga

Ministry of Energy and Water Development, P.O. Box 53930, Lusaka, Zambia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021)

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Bibliografia

Identyfikator YADDA

bwmeta1.element.baztech-4f6a3b38-b299-4808-952b-a17bf8cce210