Jonathan Mackay
British Geological Survey
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Publication
Featured researches published by Jonathan Mackay.
Progress in Physical Geography | 2015
Glen Watts; Richard W. Battarbee; John P. Bloomfield; J. Crossman; A. Daccache; Isabelle Durance; J. Alex Elliott; Grace Garner; Jamie Hannaford; David M. Hannah; Tim Hess; Christopher R. Jackson; Alison L. Kay; Martin Kernan; Jerry W. Knox; Jonathan Mackay; Dt Monteith; S.J. Ormerod; Jemima Rance; Marianne E. Stuart; Andrew J. Wade; Steven Wade; Paul Whitehead; Robert L. Wilby
Climate change is expected to modify rainfall, temperature and catchment hydrological responses across the world, and adapting to these water-related changes is a pressing challenge. This paper reviews the impact of anthropogenic climate change on water in the UK and looks at projections of future change. The natural variability of the UK climate makes change hard to detect; only historical increases in air temperature can be attributed to anthropogenic climate forcing, but over the last 50 years more winter rainfall has been falling in intense events. Future changes in rainfall and evapotranspiration could lead to changed flow regimes and impacts on water quality, aquatic ecosystems and water availability. Summer flows may decrease on average, but floods may become larger and more frequent. River and lake water quality may decline as a result of higher water temperatures, lower river flows and increased algal blooms in summer, and because of higher flows in the winter. In communicating this important work, researchers should pay particular attention to explaining confidence and uncertainty clearly. Much of the relevant research is either global or highly localized: decision-makers would benefit from more studies that address water and climate change at a spatial and temporal scale appropriate for the decisions they make.
Environmental Research Letters | 2015
Cecilia Svensson; Anca Brookshaw; Adam A. Scaife; Victoria A. Bell; Jonathan Mackay; Christopher R. Jackson; Jamie Hannaford; Helen N. Davies; Alberto Arribas; S Stanley
Seasonal river flow forecasts are beneficial for planning agricultural activities, river navigation, and for management of reservoirs for public water supply and hydropower generation. In the United Kingdom (UK), skilful seasonal river flow predictions have previously been limited to catchments in lowland (southern and eastern) regions. Here we show that skilful long-range forecasts of winter flows can now be achieved across the whole of the UK. This is due to a remarkable geographical complementarity between the regional geological and meteorological sources of predictability for river flows. Forecast skill derives from the hydrogeological memory of antecedent conditions in southern and eastern parts of the UK and from meteorological predictability in northern and western areas. Specifically, it is the predictions of the atmospheric circulation over the North Atlantic that provides the skill at the seasonal timescale. In addition, significant levels of skill in predicting the frequency of winter high flow events is demonstrated, which has the potential to allow flood adaptation measures to be put in place.
Environmental Modelling and Software | 2014
Jonathan Mackay; Christopher R. Jackson; Lei Wang
Lumped, conceptual groundwater models can be used to simulate groundwater level time-series quickly and efficiently without the need for comprehensive modelling expertise. A new model of this type, AquiMod, is presented for simulating groundwater level time-series in unconfined aquifers. Its modular design enables users to implement different model structures to gain understanding about controls on aquifer storage and discharge. Five model structures are evaluated for four contrasting aquifers in the United Kingdom. The ability of different model structures and parameterisations to replicate the observed hydrographs is examined. AquiMod simulates the quasi-sinusoidal hydrographs of the relatively uniform Chalk and Sandstone aquifers most efficiently. It is least efficient at capturing the flashy hydrograph of a heterogeneous, fractured Limestone aquifer. The majority of model parameters demonstrate sensitivity and can be related to available field data. The model structure experiments demonstrate the need to represent vertical aquifer heterogeneity to capture the storage-discharge dynamics efficiently. We develop a lumped modelling framework to simulate groundwater level time-series.The framework is flexible and can accommodate different structures.We test different model structures in four contrasting aquifers in the UK.Acceptable calibration and evaluation efficiencies are achieved for all sites.The majority of model parameters can be related to known physical characteristics.
Progress in Physical Geography | 2015
Christopher R. Jackson; John P. Bloomfield; Jonathan Mackay
We examine the evidence for climate-change impacts on groundwater levels provided by studies of the historical observational record, and future climate-change impact modelling. To date no evidence has been found for systematic changes in groundwater drought frequency or intensity in the UK, but some evidence of multi-annual to decadal coherence of groundwater levels and large-scale climate indices has been found, which should be considered when trying to identify any trends. We analyse trends in long groundwater level time-series monitored in seven observation boreholes in the Chalk aquifer, and identify statistically significant declines at four of these sites, but do not attempt to attribute these to a change in a stimulus. The evidence for the impacts of future climate change on UK groundwater recharge and levels is limited. The number of studies that have been undertaken is small and different approaches have been adopted to quantify impacts. Furthermore, these studies have generally focused on relatively small regions and reported local findings. Consequently, it has been difficult to compare them between locations. We undertake some additional analysis of the probabilistic outputs of the one recent impact study that has produced coherent multi-site projections of changes in groundwater levels. These results suggest reductions in annual and average summer levels, and increases in average winter levels, by the 2050s under a high greenhouse gas emissions scenario, at most of the sites modelled, when expressed by the median of the ensemble of simulations. It is concluded, however, that local hydrogeological conditions can be an important control on the simulated response to a future climate projection.
Hydrological Sciences Journal-journal Des Sciences Hydrologiques | 2017
Christel Prudhomme; Jamie Hannaford; Shaun Harrigan; David B. Boorman; Jeff R. Knight; Victoria A. Bell; Christopher R. Jackson; Cecilia Svensson; Simon Parry; Nuria Bachiller-Jareno; Helen N. Davies; Richard Davis; Jonathan Mackay; Andrew McKenzie; Alison C. Rudd; Katie Smith; John P. Bloomfield; Rob Ward; Alan Jenkins
ABSTRACT This paper describes the development of the first operational seasonal hydrological forecasting service for the UK, the Hydrological Outlook UK (HOUK). Since June 2013, this service has delivered monthly forecasts of streamflow and groundwater levels, with an emphasis on forecasting hydrological conditions over the next three months, accompanied by outlooks over longer time horizons. This system is based on three complementary approaches combined to produce the outlooks: (i) national-scale modelling of streamflow and groundwater levels based on dynamic seasonal rainfall forecasts, (ii) catchment-scale modelling where streamflow and groundwater level models are driven by historical meteorological forcings (i.e. the Ensemble Streamflow Prediction, ESP, approach), and (iii) a catchment-scale statistical method based on persistence and historical analogues. This paper provides the background to the Hydrological Outlook, describes the various component methods in detail and then considers the impact and usefulness of the product. As an example of a multi-method, operational seasonal hydrological forecasting system, it is hoped that this overview provides useful information and context for other forecasting initiatives around the world.
Earth System Science Data | 2012
Christel Prudhomme; Tracey Haxton; S. M. Crooks; Christopher R. Jackson; Andrew Barkwith; Jennifer Williamson; J. Kelvin; Jonathan Mackay; Lei Wang; Andy Young; Glen Watts
Geomorphology | 2016
Sebastian Uhlemann; Alister Smith; J.E. Chambers; Neil Dixon; Tom Dijkstra; Edward Haslam; Philip I. Meldrum; A. Merritt; David Gunn; Jonathan Mackay
Journal of Hydrology | 2015
Jonathan Mackay; Christopher R. Jackson; Anca Brookshaw; Adam A. Scaife; J. Cook; Rob Ward
Hydrological Processes | 2016
Christopher R. Jackson; Lei Wang; Magdalena Pachocka; Jonathan Mackay; John P. Bloomfield
Journal of Hydrology | 2016
B.P. Marchant; Jonathan Mackay; John P. Bloomfield