398 research outputs found
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University of Reading Empirical Climate Model Version 1.0: Decadal Prediction Experiment
No full textHindcast data from the University of Reading Empirical Climate Model Version 1.0 (UREAD-ECM1.0): Decadal Prediction Experiment.
Each zip file contains ensemble hindcast data for annual mean (Jan-Dec) surface air temperature anomalies covering the period 1960-2014, with start dates every year, generated from the UREAD empirical model. The data is intended as a benchmark model for the decadal prediction experiments. Each hindcast set is generated using a different prediction mode. The `standard� model configuration data also contains a forecast ensemble covering the period 2016-2025 (with a 2015 launch date). All anomalies are given relative to the mean of 1961-1990.
For more information about the model and experimental design see: E. Suckling, et al., An empirical model for probabilistic decadal prediction: A global attribution and regional hindcasts, Climate Dynamics (2016)
Effect of interactions between heat stress and insect pollination on faba bean (Vicia faba L.) yield production
Full text linkWe exposed potted faba bean plants to heat stress for 5 days during floral development and anthesis. Temperature treatments were representative of heat waves projected in the UK for the period 2021-2050 and onwards. Following temperature treatments, plants were distributed in flight cages and either pollinated by domesticated Bombus terrestris colonies or received no insect pollination. The dataset contains various measurements taken from experimental faba bean (Vicia faba L.) plants over three years of experiments conducted at the University of Reading Plant Environment Laboratory (latitude 51 27’ N, longitude 00 56’ W) in controlled environment chambers and insect pollination cages. All measurements were conducted once plants had reached senescence. For the experimental rationale and methodology, please see J. Bishop, et al., Insect pollination reduces yield loss following heat stress in faba bean (Vicia faba L.). Agric. Ecosyst. Environ. 2015. http://dx.doi.org/10.1016/j.agee.2015.12.007
An hourly time series of GB-aggregated wind power generation from 1980-2013, based on a future distribution of wind farms with a high level of offshore capacity.
No full textMERRA reanalysis data (>34 years available) have been used to estimate the hourly aggregated wind power generation for Great Britain based on a distribution of wind farms which is considered to be representative of a future scenario with a high penetration of offshore capacity. The file details the GB-total hourly capacity factor from 1980 to 2013 inclusive. The data have been produced to understand the long term variability of the wind generation with high levels of capacity and the possible implications for UK power system
Partial eclipse meteorological observations, Reading, UK, 20 March 2015
No full textDatasets accompanying the paper entitled Meteorological responses in the atmospheric boundary layer over southern England to the deep partial eclipse of 20 March 2015 by Stephen Burt, Department of Meteorology, University of Reading, Reading RG6 7BE, U
Topology Reconfiguration in Distributed Echo State Networks
No full textParameter-accuracy results from investigations into Echo State Network (ESN) metanetworks presented in "Topology Reconfiguration in Distributed Echo State Networks"
On the detection of pressure perturbations during the March 2015 solar eclipse - supplementary data
No full textA collection of data used in the paper: On the detection of pressure perturbations during the March 2015 solar eclipse.
Includes surface measurement data from the University of Reading Atmospheric Observatory and data from the University of Reading research launches from the Met Office Observatory
Improved Arctic sea ice thickness projections using bias corrected CMIP5 simulations
No full textProjections of Arctic sea ice thickness (SIT) have the potential to inform stakeholders about accessibility to the region, but are currently rather uncertain. The latest suite of CMIP5 Global Climate Models (GCMs) produce a wide range of simulated SIT in the historical period (1979 – 2014) and exhibit various biases when compared with the Pan-Arctic Ice Ocean Modelling and Assimilation System (PIOMAS) sea ice reanalysis. We present a new method to constrain such GCM simulations of SIT to narrow projection uncertainty via a statistical bias correction technique. This method is applied to six GCMs from CMIP5, the outputs of which are available in this dataset. Results are reported in: Melia, N., Haines, K., and Hawkins, E.: Improved Arctic sea ice thickness projections using bias corrected CMIP5 simulations, The Cryosphere Discuss., 9, 3821-3857, doi:10.5194/tcd-9-3821-2015, 2015
Supplementary data for "Coordinated weather balloon solar radiation measurements during a solar eclipse"
No full textThis deposition contains the datasets from which the analyses in the paper "Coordinated weather balloon solar radiation measurements during a solar eclipse" (Harrison et al) were made.
A brief summary document of the different files and their contents is included