Items where Division is "Science > School of Mathematical, Computational and Physical Sciences > NCAS" and Year is 2020

B

Bloomfield, Hannah, Brayshaw, David and Charlton-Perez, Andrew (2020): ERA5 derived time series of European country-aggregate electricity demand, wind power generation and solar power generation. University of Reading. Dataset. https://doi.org/10.17864/1947.273

Bloomfield, Hannah, Brayshaw, David and Charlton-Perez, Andrew (2020): ERA5 derived time series of European country-aggregate electricity demand, wind power generation and solar power generation: hourly data from 1979-2019. University of Reading. Dataset. https://doi.org/10.17864/1947.272

Bloomfield, Hannah, Brayshaw, David and Charlton-Perez, Andrew (2020): MERRA2 derived time series of European country-aggregate electricity demand, wind power generation and solar power generation. University of Reading. Dataset. https://doi.org/10.17864/1947.239

G

Gonzalez, Paula, Bloomfield, Hannah, Brayshaw, David and Charlton-Perez, Andrew (2020): Sub-seasonal forecasts of European electricity demand, wind power and solar power generation. University of Reading. Dataset. https://doi.org/10.17864/1947.275

Gu, Jian-Feng, Plant, Bob, Holloway, Chris and Muetzelfeldt, Mark (2020): Data supporting 'Pressure drag for shallow cumulus clouds: from thermals to cloud ensemble'. University of Reading. Dataset. https://doi.org/10.17864/1947.259

Y

Young, Matthew, Heinrich, Viola and Black, Emily (2020): Skillful spatial scales and representativity of seasonal rainfall forecasts over Africa. University of Reading. Dataset. https://doi.org/10.17864/1947.252