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David MacLeod
Researcher at University of Bristol
Publications - 5
Citations - 66
David MacLeod is an academic researcher from University of Bristol. The author has contributed to research in topics: Context (language use) & Climate change. The author has an hindex of 1, co-authored 5 publications receiving 9 citations.
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Journal ArticleDOI
Hourly potential evapotranspiration at 0.1° resolution for the global land surface from 1981-present
Michael Bliss Singer,Michael Bliss Singer,Dagmawi Teklu Asfaw,Rafael Rosolem,Mark O. Cuthbert,Mark O. Cuthbert,Diego G. Miralles,David MacLeod,E. A. Quichimbo,Katerina Michaelides,Katerina Michaelides +10 more
TL;DR: In this paper, an hourly potential evapotranspiration (PET) dataset (hPET) was developed for the global land surface at 0.1° spatial resolution, based on output from the recently developed ERA5-Land reanalysis dataset, over the period 1981 to present.
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Subseasonal precipitation prediction for Africa: forecast evaluation and sources of predictability
Felipe M. de Andrade,Matthew Young,David MacLeod,Linda Hirons,Steven J. Woolnough,Emily Black +5 more
TL;DR: In this paper, a variety of verification metrics are employed to assess weekly precipitation forecast quality at lead times of one to four weeks ahead (Weeks 1-4) during different seasons.
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Prediction skill of Sahelian heatwaves out to subseasonal lead times and importance of atmospheric tropical modes of variability
TL;DR: In this paper, the authors examined the skill of the ECMWF ENS extended-range forecasting system (ENS-ext) to predict Sahelian heatwaves out to subseasonal lead-times.
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Mainstreaming forecast based action into national disaster risk management systems: experience from drought risk management in Kenya
Emmah Mwangi,Olivia Taylor,Martin C. Todd,Emma Visman,Emma Visman,Dom Kniveton,Mary Kilavi,William Ndegwa,George Otieno,Shamton Waruru,John Mwangi,Maurine Ambani,Halima Saado Abdillahi,David MacLeod,Pedram Rowhani,Richard Graham,Andrew Colman +16 more
TL;DR: In this article, the authors discuss the implications of this for scaling-up forecast-based action into national risk management systems and highlight the critical importance of enabling institutions and reliable financing to ensure that information can be consistently used to trigger early action.
Journal ArticleDOI
Playing the long game: anticipatory action based on seasonal forecasts
TL;DR: In this paper, it was shown that it is possible to wait more than a decade before a forecast-based decision-making system will have some certainty of showing value, and that if a particular user requires an almost certain guarantee that using a forecast will be better than a no-forecast strategy, they must hold out until a near-perfect forecast system is available.