A5089450526- Hydrology and Watershed Management Studies
- Hydrology and Drought Analysis
- Flood Risk Assessment and Management
- Climate variability and models
- Hydrological Forecasting Using AI
- Cryospheric studies and observations
- Climate change and permafrost
- Soil Moisture and Remote Sensing
- Soil Geostatistics and Mapping
- Water resources management and optimization
- Meteorological Phenomena and Simulations
- Plant Water Relations and Carbon Dynamics
- Geological and Geophysical Studies
- Geophysical and Geoelectrical Methods
- Geophysics and Gravity Measurements
- Energy Load and Power Forecasting
- Reservoir Engineering and Simulation Methods
- Soil erosion and sediment transport
- Soil and Water Nutrient Dynamics
- Soil and Unsaturated Flow
- Hydrocarbon exploration and reservoir analysis
UK Centre for Ecology & Hydrology
2021-2024
University of Bristol
2018-2022
Shell (Germany)
1976
Abstract. We present the first large-sample catchment hydrology dataset for Great Britain, CAMELS-GB (Catchment Attributes and MEteorology Large-sample Studies). collates river flows, attributes boundaries from UK National River Flow Archive together with a suite of new meteorological time series attributes. These data are provided 671 catchments that cover wide range climatic, hydrological, landscape, human management characteristics across Britain. Daily covering 1970–2015 (a period...
Abstract. Benchmarking model performance across large samples of catchments is useful to guide selection and future development. Given uncertainties in the observational data we use drive evaluate hydrological models, structure parameterisation models produce simulations predictions, it essential that evaluation undertaken within an uncertainty analysis framework. Here, benchmark capability several lumped Great Britain by focusing on daily flow peak simulation. Four structures from Framework...
Abstract. This paper presents DECIPHeR (Dynamic fluxEs and ConnectIvity for Predictions of HydRology), a new model framework that simulates predicts hydrologic flows from spatial scales small headwater catchments to entire continents. can be adapted specific settings different levels data availability. It is flexible which includes the capability (1) change its representation variability connectivity by implementing hydrological response units in any configuration (2) test hypotheses...
Climate change could intensify hydrological extremes, changing not just the magnitude but also timing of flood and drought events. Understanding these potential future changes to extremes at national level is critical guide policy decisions ensure adequate adaptation measures are put in place. Here, climate impact on extreme flows modelled across Great Britain (GB), using an ensemble data from latest UK Projections product (UKCP18) a grid-based model. All members show large reductions low...
Abstract. Hydrological drought is a serious issue globally, which likely to be amplified by 21st century climate change. In the UK, impacts of changes in river flow and groundwater severity future change higher water demand are potentially severe. Recent publication new nationally consistent set level projections (the eFLaG dataset), based on state-of-the-art UKCP18 projections, offers unique opportunity quantitatively assess UK hydrological susceptibility. The dataset includes transient,...
Abstract. We present the first large-sample catchment hydrology dataset for Great Britain, CAMELS-GB (Catchment Attributes and MEteorology Large-sample Studies). collates river flows, attributes boundaries from UK National River Flow Archive together with a suite of new meteorological timeseries attributes. These data are provided 671 catchments that cover wide range climatic, hydrological, landscape human management characteristics across Britain. Daily covering 1970–2015 (a period...
Abstract Spatial parameter fields are required to model hydrological processes across diverse landscapes. Transfer functions often used relate parameters spatial catchment attributes, introducing large uncertainties. Quantifying these uncertainties remains a key challenge for large‐scale modeling. This paper extends the multiscale regionalization (MPR) technique consider We evaluate this method of producing nationally consistent fields, which maintain constant relationship between and 437...
Northern Ireland (NI), and sub-catchments in the Republic of that drain to NI rivers, Information on potential future impacts climate change river flows is necessary for adaptation planning. There have been many such studies Great Britain, but fewer NI. Here, a grid-based hydrological model configured NI, used investigate changes seasonal mean, extreme high low flows. When driven by observed data, shows good performance wide range catchments, particularly where artificial influences are...
Abstract. Climate change may significantly increase flood risk globally, but there are large uncertainties in both future climatic changes and how these propagate into changing river flows. Here, the impact of climate on magnitude frequency high flows is analysed for Great Britain (GB) to provide first spatially consistent GB projections include ensembles hydrological model parameter uncertainties. We use latest high-resolution (12 km) regional ensemble from UK Projections (UKCP18). These...
Abstract. This paper presents an ‘enhanced future FLows and Groundwater’ (eFLaG) dataset of nationally consistent hydrological projections for the UK, based on latest UK Climate Projections (UKCP18). The are derived from a range river flow models (Grid-to-Grid, PDM, GR4J GR6J), to provide indication model uncertainty, as well groundwater level (Aquimod) recharge (ZOODRM) models. A 12-member ensemble transient present (up 2080) daily flows, levels were produced using bias corrected data...
Abstract. This paper details the development and evaluation of enhanced future FLows Groundwater (eFLaG) dataset nationally consistent hydrological projections for UK, based on latest UK Climate Projections (UKCP18). The are derived from a range models. For river flows, multiple models (Grid-to-Grid, PDM (Probability Distributed Model) GR (Génie Rural; both four- six-parameter versions, GR4J GR6J)) used to provide an indication model uncertainty. groundwater, two used, groundwater level...
Abstract Soil moisture, typically defined as the amount of water in unsaturated soil layer, is a central component hydrological cycle. The potential impacts climate change on moisture have been less specifically studied than those river flows, despite deficits/excesses being factor range natural hazards, well having obvious importance for agriculture. Here, 1 km grids monthly mean content are simulated using national-scale grid-based model, more applied to look at changes flows across...
Abstract. Appropriate adaptation planning is contingent upon information about the potential future impacts of climate change, and hydrological impact assessments are particular importance. The UKSCAPE-G2G datasets were produced, as part Natural Environment Research Council (NERC) UK-SCAPE (UK Status, Change Projections Environment) programme, to contribute this requirement. They use Grid-to-Grid (G2G) national-scale model configured for both Great Britain Northern Ireland (and parts...
Abstract. We present two new potential evaporation datasets for the United Kingdom: a historical dataset, Hydro-PE HadUK-Grid, which is derived from HadUK-Grid gridded observed meteorology (1969–2021), and future UKCP18 RCM, regional climate projections (1980–2080). Both are suitable hydrological modelling provide Penman–Monteith evapotranspiration parameterised short grass, with without correction interception on days rainfall. The calculations have been formulated to closely follow...
The study covers sites across Great Britain. Soil moisture information is important for a range of applications including flood and drought monitoring, seasonal hydrological forecasting, agricultural management. However, spatially distributed soil estimates sub-surface soils are scarce despite their importance. Grid-to-Grid model (G2G) was primarily developed to simulate river flows at national scale, but can also output simulated depth-integrated on 1 km grid. Here, we evaluate G2G...
Abstract. We present two new potential evaporation datasets for the United Kingdom: a historical dataset, Hydro-PE HadUKGrid, which is derived from HadUK-Grid gridded observed meteorology (1969–2021); and future UKCP18 RCM, regional climate projections (1980–2080). Both are suitable hydrological modelling, provide Penman-Monteith evapotranspiration parameterised short grass, with without correction interception on days rainfall. The calculations have been formulated to closely follow...
Abstract. Hydrological drought is a serious issue globally which likely to be amplified by 21st century climate change. In the UK, impacts of changes in river flow and groundwater severity future change higher water demand are potentially severe. Recent publication new nationally-consistent set level projections based on state-of-the-art UKCP18 offers unique opportunity quantitatively assess UK hydrological susceptibility. The dataset includes transient, multi-model ensemble driven single...
Abstract. Reservoirs are key components of many water supply systems, providing functional capability to manage, and often mitigate, hydrological variability across space time. The presence operation a reservoir controls the downstream flow regime, such that in locations understanding operations is crucial functioning catchment. Although substantial progress has been made modelling operations, several challenges remain, particularly for large-scale applications including hundreds reservoirs....
Abstract. Reservoirs are ubiquitous water infrastructure, providing functional capability to manage, and often mitigate, hydrological variability across space time. The presence operation of a reservoir control the downstream flow regime, such that in many locations understanding operations is crucial functioning catchment. Despite advances modelling operations, inclusion reservoirs large-scale remains challenging, particularly when number large data access limited. Here we design set simple...
Abstract. Appropriate adaptation planning is contingent upon information about the potential future impacts of climate change, and hydrological impact assessments are particular importance. The UKSCAPE-G2G datasets were produced, as part NERC UK-SCAPE programme, to contribute this requirement. They use Grid-to-Grid (G2G) national-scale model configured for both Great Britain Northern Ireland (and parts Republic that drain rivers in NI). Six separate provided, two sets driving data — one...
Abstract. This paper presents DECIPHeR (Dynamic fluxEs and ConnectIvity for Predictions of HydRology); a new flexible model framework that simulates predicts hydrologic flows from spatial scales small headwater catchments to entire continents. DeCIPHER can be adapted specific settings available data modified represent different levels heterogeneity, connectivity hydrological processes as needed. It has an automated build function allows rapid set-up across required domains is open source...