Here is a round up of the latest papers from those in the Walker Community.
During volcanic eruptions, Volcanic Ash Advisory Centres issue ash advisories for aviation showing the forecasted outermost extent of the ash cloud. During the 2010 Icelandic volcano Eyjafjallajökull eruption, the UK Met Office produced supplementary forecasts of quantitative ash concentration, due to demand from airlines. Additionally, satellite retrievals of estimated volcanic ash concentration are now available. To test how these additional graphical representations of volcanic ash affect flight decisions, whether users infer uncertainty in graphical forecasts of volcanic ash, and how decisions are made when given conflicting forecasts, a survey was conducted of 25 delegates representing UK research and airline operations dealing with volcanic ash. Respondents were more risk-seeking with safer flight paths and risk-averse with riskier flight paths when given location and concentration forecasts compared to when given only the outermost extent of the ash. Respondents representing operations were more risk-seeking than respondents representing research. Additionally, most respondents' hand-drawn no-fly zones were larger than the areas of unsafe ash concentrations in the forecasts. This conservatism implies that respondents inferred uncertainty from the volcanic ash concentration forecasts. When given conflicting forecasts, respondents became more conservative than when given a single forecast. The respondents were also more risk-seeking with high-risk flight paths and more risk-averse with low-risk flight paths when given conflicting forecasts than when given a single forecast. The results show that concentration forecasts seem to reduce flight cancellations while maintaining safety. Open discussion with the respondents suggested that definitions of "uncertainty" may differ between research and operations.
Climate change will pose diverse challenges for pollination this century. Identifying and addressing these challenges will help to mitigate impacts, and avoid a scenario whereby plants and pollinators are in the ‘wrong place at the wrong time’.
In climate simulations, the impacts of the subgrid scales on the resolved scales are conventionally represented using deterministic closure schemes, which assume that the impacts are uniquely determined by the resolved scales. Stochastic parameterization relaxes this assumption, by sampling the subgrid variability in a computationally inexpensive manner. This study shows that the simulated climatological state of the ocean is improved in many respects by implementing a simple stochastic parameterization of ocean eddies into a coupled atmosphere–ocean general circulation model. Simulations from a high-resolution, eddy-permitting ocean model are used to calculate the eddy statistics needed to inject realistic stochastic noise into a low-resolution, non-eddy-permitting version of the same model. A suite of four stochastic experiments is then run to test the sensitivity of the simulated climate to the noise definition by varying the noise amplitude and decorrelation time within reasonable limits. The addition of zero-mean noise to the ocean temperature tendency is found to have a nonzero effect on the mean climate. Specifically, in terms of the ocean temperature and salinity fields both at the surface and at depth, the noise reduces many of the biases in the low-resolution model and causes it to more closely resemble the high-resolution model. The variability of the strength of the global ocean thermohaline circulation is also improved. It is concluded that stochastic ocean perturbations can yield reductions in climate model error that are comparable to those obtained by refining the resolution, but without the increased computational cost. Therefore, stochastic parameterizations of ocean eddies have the potential to significantly improve climate simulations.
Interested in improving continental scale forecasting systems? Have a look at our new EFAS article… https://t.co/GbxdlrgDqk
12:53 PM - 28 Apr 2017
@dunning_cm blogs on the onset and end of African rain seasons. https://t.co/HAskfR5mNW @WalkerInst @UniRdg_Met @UniRdg_water @NERCscience
09:25 AM - 28 Apr 2017
Take a look at our publications: https://t.co/s2kGygTh1Z #climate #meteorology #resilience
08:30 AM - 27 Apr 2017
12:25 PM - 26 Apr 2017
A few days to apply for postdoc position on monsoon obs/modelling #monsoonsci closes (28th April) at @UniRdg_Met https://t.co/KScRzHh7sj
16:51 PM - 25 Apr 2017
Rainwatch has been used as an #earlywarningsystem in Niger - helping prepare + increase #resilience… https://t.co/Cv63CG5wdN
14:46 PM - 25 Apr 2017