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1
Premature Predictions: Accurate Forecasters Are Not Viewed as More Competent for Earlier Predictions
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Premature Predictions: Accurate Forecasters Are Not Viewed as More Competent for Earlier Predictions

Mislavsky, Robert ; Gaertig, Celia Brown-Schmidt, Sarah

Journal of experimental psychology. General, 2024-01, Vol.153 (1), p.159-170 [Peer Reviewed Journal]

United States: American Psychological Association

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2
Future governance of the RCVS
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Future governance of the RCVS

Jones, Bruce Vivash

Veterinary record, 2024-04, Vol.194 (8), p.313-313 [Peer Reviewed Journal]

England

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3
Reflecting on the past and looking toward the future
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Reflecting on the past and looking toward the future

Calfee, David P

Infection control and hospital epidemiology, 2022-01, Vol.43 (1), p.1-2 [Peer Reviewed Journal]

United States

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4
Skilful precipitation nowcasting using deep generative models of radar
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Skilful precipitation nowcasting using deep generative models of radar

Ravuri, Suman ; Lenc, Karel ; Willson, Matthew ; Kangin, Dmitry ; Lam, Remi ; Mirowski, Piotr ; Fitzsimons, Megan ; Athanassiadou, Maria ; Kashem, Sheleem ; Madge, Sam ; Prudden, Rachel ; Mandhane, Amol ; Clark, Aidan ; Brock, Andrew ; Simonyan, Karen ; Hadsell, Raia ; Robinson, Niall ; Clancy, Ellen ; Arribas, Alberto ; Mohamed, Shakir

Nature (London), 2021-09, Vol.597 (7878), p.672-677 [Peer Reviewed Journal]

England: Nature Publishing Group

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5
Future governance of the RCVS
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Future governance of the RCVS

Veterinary record, 2024-03, Vol.194 (7), p.269-270 [Peer Reviewed Journal]

England: Blackwell Publishing Ltd

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6
Progress and opportunities in advancing near‐term forecasting of freshwater quality
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Progress and opportunities in advancing near‐term forecasting of freshwater quality

Lofton, Mary E. ; Howard, Dexter W. ; Thomas, R. Quinn ; Carey, Cayelan C.

Global change biology, 2023-04, Vol.29 (7), p.1691-1714 [Peer Reviewed Journal]

England

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7
Deep learning for multi-year ENSO forecasts
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Deep learning for multi-year ENSO forecasts

Ham, Yoo-Geun ; Kim, Jeong-Hwan ; Luo, Jing-Jia

Nature (London), 2019-09, Vol.573 (7775), p.568-572 [Peer Reviewed Journal]

England: Nature Publishing Group

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Weather Forecasting with Ensemble Methods
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Weather Forecasting with Ensemble Methods

Gneiting, Tilmann ; Raftery, Adrian E.

Science (American Association for the Advancement of Science), 2005-10, Vol.310 (5746), p.248-249 [Peer Reviewed Journal]

Washington: American Association for the Advancement of Science

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9
Evaluation of flood prediction capability of the distributed Grid‐Xinanjiang model driven by weather research and forecasting precipitation
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Evaluation of flood prediction capability of the distributed Grid‐Xinanjiang model driven by weather research and forecasting precipitation

Yao, Cheng ; Ye, Jinyin ; He, Zhixin ; Bastola, Satish ; Zhang, Ke ; Li, Zhijia

Journal of flood risk management, 2019-10, Vol.12 (S1), p.n/a [Peer Reviewed Journal]

Oxford, UK: Blackwell Publishing Ltd

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10
Evaluating the impact of spatio-temporal demand forecast aggregation on the operational performance of shared autonomous mobility fleets
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Evaluating the impact of spatio-temporal demand forecast aggregation on the operational performance of shared autonomous mobility fleets

Dandl, Florian ; Hyland, Michael ; Bogenberger, Klaus ; Mahmassani, Hani S.

Transportation (Dordrecht), 2019-12, Vol.46 (6), p.1975-1996 [Peer Reviewed Journal]

New York: Springer US

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