Nowcasting for Africa : advances, potential and value-Reference-Cited by-同舟云学术

Nowcasting for Africa : advances, potential and value

Published:2021-03-23 Issue: Volume: Page:
ISSN:0043-1656
Container-title:Weather
language:en
Short-container-title:Weather

Author:

Roberts Alexander J.¹²^ORCID,Fletcher Jennifer K.¹²,Groves James²,Marsham John H.¹²,Parker Douglas J.¹,Blyth Alan M.²,Adefisan Elijah A.³,Ajayi Vincent O.⁴,Barrette Ronald⁵,Coning Estelle⁶,Dione Cheikh³,Diop Abdoulahat⁷,Foamouhoue Andre K.³,Gijben Morne⁸,Hill Peter G.⁹^ORCID,Lawal Kamoru A.¹⁰¹¹,Mutemi Joseph¹²,Padi Michael¹³,Popoola Temidayo I.⁴¹⁴,Rípodas Pilar¹⁵,Stein Thorwald H.M.⁹,Woodhams Beth J.¹

Affiliation:

1. Institute for Climate and Atmospheric ScienceUniversity of LeedsLeedsUK

2. National Centre for Atmospheric ScienceLeedsUK

3. African Centre of Meteorological Application for Development (ACMAD)NiameyNiger

4. Federal University of Technology Akure (FUTA)AkureNigeria

5. Kenya Meteorological Department (KMD)NairobiKenya

6. World Meteorological Organisation (WMO)GenevaSwitzerland

7. Agence Nationale de l'Aviation Civile et de la Météorologie (ANACIM)DakarSenegal

8. South African Weather Service – ResearchPretoriaSouth Africa

9. Department of MeteorologyUniversity of ReadingReadingUK

10. African Climate and Development Initiative (ACDI)University of Cape TownCape TownSouth Africa

11. Numerical Weather and Climate Prediction UnitNigerian Meteorological Agency (NiMet)AbujaNigeria

12. University of NairobiNairobiKenya

13. Ghana Meteorological Agency (GMet)AccraGhana

14. NiMet Regional Training Centre (RTC)LagosNigeria

15. Agencia Estatal de Meteorología (AEMET)MadridSpain

Publisher

Wiley

Subject

Atmospheric Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/wea.3936

Reference40 articles.

1. AgrawalS BarringtonL BrombergC.et al.2019. Machine learning for precipitation nowcasting from radar images in 33rd Conference on Neural Information Processing Systems (NeurIPS 2019) Vancouver Canada.arXiv: 1912.12132.

2. Development of a precipitation nowcasting algorithm based upon optical flow techniques

3. STEPS: A probabilistic precipitation forecasting scheme which merges an extrapolation nowcast with downscaled NWP

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