Hydro-JULES: Next generation land surface and hydrological prediction
Lead Research Organisation:
UK Centre for Ecology & Hydrology
Department Name: Hydro-climate Risks
Abstract
The major project outcome will be a world-leading integrated terrestrial hydrological model that goes from global weather and local rainfall through the terrestrial hydrological system to flood inundation assessments and their consequent impacts. The Hydro-JULES model and its associated datasets will enable UK science to tackle outstanding research questions in hydrological science and will provide a national resource to support research both specific to the Hydro-JULES project and beyond. Hydro-JULES will provide the UK hydrological and land-surface communities with the model and research infrastructure to tackle the most pressing internationally-important research questions in this field, which include:
1. How do hydrological systems respond to present-day climate variability and how can the impacts of future climate change best be quantified in ungauged locations, in data-sparse regions and under non-stationary conditions?
2. To what extent can new observational and modelling techniques improve our understanding of how extreme precipitation, especially high-intensity convective precipitation, drives flooding?
3. How will changes in land-use and land management affect surface permeability, soil water storage, runoff, river flows and flood inundation?
4. What are the combined probabilities of fluvial, pluvial, coastal and groundwater flooding in response to changes in climate, and can a coupled approach to flood risk estimation quantify those risks more effectively?
5. How will biogeochemical and nutrient cycles respond to current and future variability in the hydrological cycle, especially under conditions of changing climate and land-cover?
6. To what extent can assimilation of observed hydrological states and fluxes (e.g., soil moisture and stream flow) improve hydrological and meteorological predictions, and on what time-scales?
7. Can uncertainty in large-scale hydrological predictions be attributed to specific hydrological processes in order to target future process-based research?
8. What is the sensitivity of Earth system components (e.g., vegetation, carbon cycle, aerosols, land ice, sea ice, ocean circulation and biogeochemistry) to changes in the hydrological cycle; and can enhanced representation of terrestrial hydrology in Earth system models help constrain responses to such changes?
1. How do hydrological systems respond to present-day climate variability and how can the impacts of future climate change best be quantified in ungauged locations, in data-sparse regions and under non-stationary conditions?
2. To what extent can new observational and modelling techniques improve our understanding of how extreme precipitation, especially high-intensity convective precipitation, drives flooding?
3. How will changes in land-use and land management affect surface permeability, soil water storage, runoff, river flows and flood inundation?
4. What are the combined probabilities of fluvial, pluvial, coastal and groundwater flooding in response to changes in climate, and can a coupled approach to flood risk estimation quantify those risks more effectively?
5. How will biogeochemical and nutrient cycles respond to current and future variability in the hydrological cycle, especially under conditions of changing climate and land-cover?
6. To what extent can assimilation of observed hydrological states and fluxes (e.g., soil moisture and stream flow) improve hydrological and meteorological predictions, and on what time-scales?
7. Can uncertainty in large-scale hydrological predictions be attributed to specific hydrological processes in order to target future process-based research?
8. What is the sensitivity of Earth system components (e.g., vegetation, carbon cycle, aerosols, land ice, sea ice, ocean circulation and biogeochemistry) to changes in the hydrological cycle; and can enhanced representation of terrestrial hydrology in Earth system models help constrain responses to such changes?
Planned Impact
Impact is expected to be widespread across policy and industry. Hydro-JULES will help to improve the underlying models and information that informs flood prediction and estimation and should ensure more accurate and timely flood warnings, better flood estimation to inform infrastructure and building design to be resilient to flooding.
Hydro-JULES will be applied and tested in several high-profile case studies in the UK for use in applications of particular stakeholder interest. In the first instance, attention will be paid to the necessary science developments required to enhance hydrological outlooks for the UK. Key links already in place with Defra / EA, the Flood Forecasting Centre and the Met Office's UK Environmental Prediction Programme will be maintained and extended. The stakeholder requirements for these applications will be sought at an early stage in the project. Applications of the coupled modelling system in overseas locations will be supported, where possible, in collaboration with additional funding streams, so that the UK research and academic community can be enabled to offer the greatest possible contribution to overseas development.
We will develop a protocol and demonstrator product to assimilate COSMOS-UK, satellite soil moisture data and river flow data. This work will result in a first-generation near-real-time UK soil moisture data product through blending of model output data, observed data (COSMOS-UK) and satellite data. This novel dataset will provide information on soil moisture drought for agricultural and ecological applications and will offer data on antecedent soil saturation for flood forecasters prior to extreme rainfall. Moreover, the new dataset will enable a range of scientific studies into soil moisture dry-down processes and land-atmosphere feedbacks and coupling, to improve model process descriptions and enhance skill in hydrological simulation. Further applications of more advanced data assimilation techniques, including the use of ensemble Kalman filters and 4-D variational methods for hydrological state updating and adjoint approaches to parameter estimation, will be explored in collaboration with project partners.
Benchmarking and evaluation protocols will be developed to support Earth system modelling applications, in collaboration with NCAS, the UKESM project and with modelling groups in the UK and overseas. The maintenance of clearly-defined model configurations will enable participation in world-leading model inter-comparison programmes including ISIMIP and WCRP GEWEX-coordinated experiments, in addition to the delivery of UK science components in preparation for participation in forthcoming CMIP7 and AR7 experiment cycles. This work package will also develop a procedure for the formal quantification of model uncertainty in large-scale hydrological predictions in order to understand the relative magnitude of uncertainties across model sub-components and to direct further research.
Hydro-JULES will be applied and tested in several high-profile case studies in the UK for use in applications of particular stakeholder interest. In the first instance, attention will be paid to the necessary science developments required to enhance hydrological outlooks for the UK. Key links already in place with Defra / EA, the Flood Forecasting Centre and the Met Office's UK Environmental Prediction Programme will be maintained and extended. The stakeholder requirements for these applications will be sought at an early stage in the project. Applications of the coupled modelling system in overseas locations will be supported, where possible, in collaboration with additional funding streams, so that the UK research and academic community can be enabled to offer the greatest possible contribution to overseas development.
We will develop a protocol and demonstrator product to assimilate COSMOS-UK, satellite soil moisture data and river flow data. This work will result in a first-generation near-real-time UK soil moisture data product through blending of model output data, observed data (COSMOS-UK) and satellite data. This novel dataset will provide information on soil moisture drought for agricultural and ecological applications and will offer data on antecedent soil saturation for flood forecasters prior to extreme rainfall. Moreover, the new dataset will enable a range of scientific studies into soil moisture dry-down processes and land-atmosphere feedbacks and coupling, to improve model process descriptions and enhance skill in hydrological simulation. Further applications of more advanced data assimilation techniques, including the use of ensemble Kalman filters and 4-D variational methods for hydrological state updating and adjoint approaches to parameter estimation, will be explored in collaboration with project partners.
Benchmarking and evaluation protocols will be developed to support Earth system modelling applications, in collaboration with NCAS, the UKESM project and with modelling groups in the UK and overseas. The maintenance of clearly-defined model configurations will enable participation in world-leading model inter-comparison programmes including ISIMIP and WCRP GEWEX-coordinated experiments, in addition to the delivery of UK science components in preparation for participation in forthcoming CMIP7 and AR7 experiment cycles. This work package will also develop a procedure for the formal quantification of model uncertainty in large-scale hydrological predictions in order to understand the relative magnitude of uncertainties across model sub-components and to direct further research.
Publications
Weedon G
(2023)
Geological controls of discharge variability in the Thames Basin, UK from cross-spectral analyses: Observations versus modelling
in Journal of Hydrology
Wallbank J
(2021)
Estimating snow water equivalent using cosmic-ray neutron sensors from the COSMOS-UK network
in Hydrological Processes
Wallbank J
(2022)
Assessing precipitation from a dual-polarisation X-band radar campaign using the Grid-to-Grid hydrological model
in Journal of Hydrology
Wallbank J
(2022)
Assessing precipitation from a dual-polarisation X-band radar campaign using the Grid-to-Grid hydrological model
in Journal of Hydrology
Wagener T
(2021)
Knowledge gaps in our perceptual model of Great Britain's hydrology
in Hydrological Processes
Slater L
(2021)
Nonstationary weather and water extremes: a review of methods for their detection, attribution, and management
in Hydrology and Earth System Sciences
Scheidegger, J.
(2019)
Review of saturated groundwater model codes for Hydro-JULES
Rudd A
(2019)
Investigating potential future changes in surface water flooding hazard and impact
in Hydrological Processes
Robinson E
(2023)
Hydro-PE: gridded datasets of historical and future Penman-Monteith potential evaporation for the United Kingdom
in Earth System Science Data
Robinson E
(2020)
Using Gravity Recovery and Climate Experiment data to derive corrections to precipitation data sets and improve modelled snow mass at high latitudes
in Hydrology and Earth System Sciences
Peng J
(2021)
A roadmap for high-resolution satellite soil moisture applications - confronting product characteristics with user requirements
in Remote Sensing of Environment
Peng J
(2021)
Estimation and evaluation of high-resolution soil moisture from merged model and Earth observation data in the Great Britain
in Remote Sensing of Environment
Peng J
(2020)
A pan-African high-resolution drought index dataset
in Earth System Science Data
Peng J
(2019)
Can We Use Satellite-Based FAPAR to Detect Drought?
in Sensors (Basel, Switzerland)
Parker R
(2022)
Evaluation of wetland CH 4 in the Joint UK Land Environment Simulator (JULES) land surface model using satellite observations
in Biogeosciences
Paltán H
(2021)
Increased water risks to global hydropower in 1.5 °C and 2.0 °C Warmer Worlds
in Journal of Hydrology
Neely III R
(2021)
Radar Applications in Northern Scotland (RAiNS)
in Journal of Hydrometeorology
Martínez-De La Torre A
(2019)
Using observed river flow data to improve the hydrological functioning of the JULES land surface model (vn4.3) used for regional coupled modelling in Great Britain (UKC2)
in Geoscientific Model Development
Martínez-De La Torre A
(2019)
Groundwater influence on soil moisture memory and land-atmosphere fluxes in the Iberian Peninsula
in Hydrology and Earth System Sciences
Martínez-De La Torre A
(2019)
Evaluation of Drydown Processes in Global Land Surface and Hydrological Models Using Flux Tower Evapotranspiration
in Water
Marthews T
(2022)
Inundation prediction in tropical wetlands from JULES-CaMa-Flood global land surface simulations
in Hydrology and Earth System Sciences
Marthews T
(2022)
Inundation prediction in tropical wetlands from JULES-CaMa-Flood global land surface simulations
in Hydrology and Earth System Sciences
Lewis H
(2018)
The UKC2 regional coupled environmental prediction system
in Geoscientific Model Development
Lewis H
(2021)
A regional coupled approach to water cycle prediction during winter 2013/14 in the United Kingdom
in Hydrological Processes
Lees T
(2022)
Hydrological concept formation inside long short-term memory (LSTM) networks
in Hydrology and Earth System Sciences
Lees T
(2021)
Benchmarking data-driven rainfall-runoff models in Great Britain: a comparison of long short-term memory (LSTM)-based models with four lumped conceptual models
in Hydrology and Earth System Sciences
Lees T
(2022)
Deep Learning for Vegetation Health Forecasting: A Case Study in Kenya
in Remote Sensing
Kay A
(2022)
Differences in hydrological impacts using regional climate model and nested convection-permitting model data
in Climatic Change
Kay A
(2022)
Differences in hydrological impacts using regional climate model and nested convection-permitting model data
in Climatic Change
Kay A
(2023)
Spatial downscaling of precipitation for hydrological modelling: Assessing a simple method and its application under climate change in Britain
in Hydrological Processes
Kay A
(2023)
Spatial downscaling of precipitation for hydrological modelling: Assessing a simple method and its application under climate change in Britain
in Hydrological Processes
Hallouin T
(2022)
UniFHy v0.1.1: a community modelling framework for the terrestrial water cycle in Python
in Geoscientific Model Development
Gleeson T
(2020)
Illuminating water cycle modifications and Earth system resilience in the Anthropocene
in Water Resources Research
Gebrechorkos S
(2023)
Global High-Resolution Drought Indices for 1981-2022
Gebrechorkos S
(2023)
Global scale evaluation of precipitation datasets for hydrological modelling
Garrigues S
(2021)
Capability of the variogram to quantify the spatial patterns of surface fluxes and soil moisture simulated by land surface models
in Progress in Physical Geography: Earth and Environment
Dembélé M
(2022)
Contrasting changes in hydrological processes of the Volta River basin under global warming
in Hydrology and Earth System Sciences
Dembélé M
(2022)
Contrasting changes in hydrological processes of the Volta River basin under global warming
in Hydrology and Earth System Sciences
Davies H
(2023)
Spatially consistent physical characteristics of UK rivers: 1-km data
in Geoscience Data Journal
| Description | The major project outcome is an integrated terrestrial hydrological model that goes from global weather and local rainfall through the terrestrial hydrological system to flood inundation assessments and their consequent impacts. The Hydro-JULES model and its associated datasets enable UK science to tackle outstanding research questions in hydrological science and will provide a national resource to support research both specific to the Hydro-JULES project and beyond. Hydro-JULES provides the UK hydrological and land-surface communities with the model and research infrastructure to tackle the most pressing internationally-important research questions in this field, which include: How do hydrological systems respond to present-day climate variability and how can the impacts of future climate change best be quantified in ungauged locations, in data-sparse regions and under non-stationary conditions? · To what extent can new observational and modelling techniques improve our understanding of how extreme precipitation, especially high-intensity convective precipitation, drives flooding? · How will changes in land-use and land management affect surface permeability, soil water storage, runoff, river flows and flood inundation? · What are the combined probabilities of fluvial, pluvial, coastal and groundwater flooding in response to changes in climate, and can a coupled approach to flood risk estimation quantify those risks more effectively? · How will biogeochemical and nutrient cycles respond to current and future variability in the hydrological cycle, especially under conditions of changing climate and land-cover? · To what extent can assimilation of observed hydrological states and fluxes (e.g., soil moisture and stream flow) improve hydrological and meteorological predictions, and on what time-scales? · Can uncertainty in large-scale hydrological predictions be attributed to specific hydrological processes in order to target future process-based research? · What is the sensitivity of Earth system components (e.g., vegetation, carbon cycle, aerosols, land ice, sea ice, ocean circulation and biogeochemistry) to changes in the hydrological cycle; and can enhanced representation of terrestrial hydrology in Earth system models help constrain responses to such changes? |
| Exploitation Route | Hydro-JULES has created open-source national capability model infrastructure and datasets which are integrated into Met Office weather and climate predictions, as well as being used by researchers in 40 countries around the world. To date the programme has enabled the UK research and academic community to leverage >£15m additional funding to develop the science and infrastructure further. |
| Sectors | Aerospace, Defence and Marine,Agriculture, Food and Drink,Chemicals,Digital/Communication/Information Technologies (including Software),Education,Electronics,Energy,Environment,Financial Services, and Management Consultancy,Healthcare,Leisure Activities, including Sports, Recreation and Tourism,Government, Democracy and Justice,Culture, Heritage, Museums and Collections,Security and Diplomacy,Transport,Other |
| Description | Hydro-JULES has created open-source national capability model infrastructure and datasets which are integrated into Met Office weather and climate predictions, as well as being used by researchers in 40 countries around the world. To date the programme has enabled the UK research and academic community to leverage >£15m additional funding to develop the science and infrastructure further. Non-academic collaborative partners include the Met Office, EA, SEPA, NRW, DfI Rivers, the UK Flood Hydrology Roadmap and the Flood Forecasting Centre. Technical mechanisms for collaboration and co-design include the Hydro-JULES Datalabs (used by >120 graduate scientists in >40 countries); JASMIN group workspaces (>40 TB of co-created model output and open-source datasets), and contributions to the JULES code-base which is managed by the Joint Land Modelling Programme (JLMP). In the past five years we have held a range of in person and online events which have attracted 483 attendees. Of these participants in our engagement events, 46% were from non-academic sectors of the economy. |
| First Year Of Impact | 2023 |
| Sector | Aerospace, Defence and Marine,Agriculture, Food and Drink,Communities and Social Services/Policy,Construction,Education,Energy,Environment,Government, Democracy and Justice |
| Impact Types | Cultural,Societal,Economic,Policy & public services |
| Description | Climate Services for a Net Zero Resilient World (CS-N0W) |
| Amount | £5,000,000 (GBP) |
| Organisation | Government of the UK |
| Department | Department for Business, Energy and Industrial Strategy |
| Sector | Public |
| Country | United Kingdom |
| Start | 10/2021 |
| End | 12/2021 |
| Title | Community model |
| Description | A new framework for modelling the water cycle in the land system has been implemented. It considers the hydrological cycle as three interconnected components, bringing flexibility in the choice of the physical processes and their spatio-temporal resolutions. It is designed to foster collaborations between land surface, hydrological, and groundwater modelling communities to develop the next-generation of land system models for integration in Earth system models. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| Impact | Open source framework enables more efficient collaboration and co-development of code. |
| Title | Climate hydrology and ecology research support system meteorology dataset for Great Britain (1961-2017) [CHESS-met] |
| Description | Gridded daily meteorological variables over Great Britain for the years 1961-2017 at 1 km resolution. This dataset contains time series of daily mean values of air temperature (K), specific humidity (kg kg-1), wind speed (m s-1), downward longwave radiation (W m-2), downward shortwave radiation (W m-2), precipitation (kg m-2 s-2) and air pressure (Pa), plus daily temperature range (K). These are the variables required to run the JULES land surface model with daily disaggregation. The data are provided in gridded netCDF files. There is one file for each variable for each month of the data set. This data set supersedes the previous version as temporal coverage has been extended to include the years 2016-2017 and the netCDF metadata has been updated and improved. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | This is an update to a well-cited data set, the previous version of which has been used for studies as diverse as hydrology, macronutrients, ecosystem services, insect population dynamics, land use/land use change, urban effects on climate change and soil fungal populations. It is a key component of the CAMELS-GB catchment hydrology dataset, as well as being a key driving dataset for running the JULES land surface model in the UK. |
| URL | https://catalogue.ceh.ac.uk/id/2ab15bf0-ad08-415c-ba64-831168be7293 |
| Title | Climate hydrology and ecology research support system potential evapotranspiration dataset for Great Britain (1961-2017) [CHESS-PE] |
| Description | Gridded potential evapotranspiration over Great Britain for the years 1961-2017 at 1 km resolution. This dataset contains two potential evapotranspiration variables: daily total potential evapotranspiration (PET; kg m-2) for a well-watered grass and daily total potential evapotranspiration with interception correction (PETI; kg m-2). The data are provided in gridded netCDF files. There is one file for each variable for each month of the data set. This data set supersedes the previous version as bugs in the calculation of the variables have been fixed (for all years), temporal coverage of both variables has been extended to include the years 2016-2017 and the netCDF metadata has been updated and improved. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | This is an update to a well-cited data set, the previous version of which has been used extensively in hydrological modelling, both by UKCEH and external researchers. The previous version was a key component of the CAMELS-GB catchment hydrology dataset. |
| URL | https://catalogue.ceh.ac.uk/id/9116e565-2c0a-455b-9c68-558fdd9179ad |
| Title | Gridded estimates of daily and monthly areal rainfall for the United Kingdom (1890-2017) [CEH-GEAR] |
| Description | 1 km gridded estimates of daily and monthly rainfall for Great-Britain and Northern Ireland (together with approximately 3000 km2 of catchment in the Republic of Ireland) from 1890 to 2017. The rainfall estimates are derived from the Met Office national database of observed precipitation. To derive the estimates, monthly and daily (when complete month available) precipitation totals from the UK rain gauge network are used. The natural neighbour interpolation methodology, including a normalisation step based on average annual rainfall, was used to generate the daily and monthly estimates. The estimated rainfall on a given day refers to the rainfall amount precipitated in 24 hours between 9am on that day until 9am on the following day. The CEH-GEAR dataset has been developed according to the guidance provided in BS 7843-4:2012. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | Data downloaded by numerous users |
| URL | https://catalogue.ceh.ac.uk/id/ee9ab43d-a4fe-4e73-afd5-cd4fc4c82556 |
| Title | Gridded estimates of daily and monthly areal rainfall for the United Kingdom (1890-2019) [CEH-GEAR] |
| Description | 1 km gridded estimates of daily and monthly rainfall for Great-Britain and Northern Ireland (together with approximately 3000 km2 of catchment in the Republic of Ireland) from 1890 to 2019. The rainfall estimates are derived from the Met Office national database of observed precipitation. To derive the estimates, monthly and daily (when complete month available) precipitation totals from the UK rain gauge network are used. The natural neighbour interpolation methodology, including a normalisation step based on average annual rainfall, was used to generate the daily and monthly estimates. The estimated rainfall on a given day refers to the rainfall amount precipitated in 24 hours between 9am on that day until 9am on the following day. The CEH-GEAR dataset has been developed according to the guidance provided in BS 7843-4:2012. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | Data used for many applications |
| URL | https://catalogue.ceh.ac.uk/id/dbf13dd5-90cd-457a-a986-f2f9dd97e93c |
| Title | Gridded estimates of hourly areal rainfall for Great Britain (1990-2014) [CEH-GEAR1hr] |
| Description | The dataset contains 1km gridded estimates of hourly rainfall for Great-Britain for the period 1990-2014. The estimates are derived by applying the nearest neighbour interpolation method to a national database of hourly raingauge observations collated by Newcastle University and the Centre for Ecology & Hydrology (CEH). These interpolated hourly estimates were then used to temporally disaggregate the CEH-GEAR daily rainfall dataset. The estimated rainfall on a given hour refers to the rainfall amount accumulated in the previous hour. The dataset also contains data indicating the distance between the grid point and the closest recording raingauge used in its interpolation. When this distance is greater than 50km, or there is zero rainfall recorded in the closest gauge, the daily value is disaggregated using a design storm. The dataset therefore also contains a flag indicating if the design storm was used. These data are provided as an indicator of the quality of the estimates. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | Data available for download at EIDC |
| URL | https://catalogue.ceh.ac.uk/id/d4ddc781-25f3-423a-bba0-747cc82dc6fa |
| Title | Gridded estimates of hourly areal rainfall for Great Britain 1990-2016 [CEH-GEAR1hr] v2 |
| Description | The dataset contains 1km gridded estimates of hourly rainfall for Great Britain for the period 1990-2016. The estimates are derived by applying the nearest neighbour interpolation method to a national database of hourly raingauge observations collated by Newcastle University and the UK Centre for Ecology & Hydrology (UKCEH). These interpolated hourly estimates were then used to temporally disaggregate the CEH-GEAR daily rainfall dataset. The estimated rainfall on a given hour refers to the rainfall amount accumulated in the previous hour. The dataset also contains data indicating the distance between the grid point and the closest recording raingauge used in its interpolation. When this distance is greater than 50km, or there is zero rainfall recorded in the closest gauge, the daily value is disaggregated using a design storm. The dataset therefore also contains a flag indicating if the design storm was used. These data are provided as an indicator of the quality of the estimates. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | Data used by other researchers |
| URL | https://catalogue.ceh.ac.uk/id/fc9423d6-3d54-467f-bb2b-fc7357a3941f |
| Title | Potential evapotranspiration derived from HadUK-Grid 1km gridded climate observations 1969-2021 (Hydro-PE HadUK-Grid) |
| Description | Gridded potential evapotranspiration calculated from HadUK-Grid gridded observed meteorological data at 1 km resolution over the United Kingdom for the years 1969-2021. This dataset contains two potential evapotranspiration variables: daily total potential evapotranspiration (PET; kg m-2 d-1) and daily total potential evapotranspiration with interception correction (PETI; kg m-2 d-1). The units kg m-2 d-1 are equivalent to mm d-1. The data are provided in gridded netCDF files. There is one file for each variable, for each calendar month. These data were generated as part of NERC grant NE/S017380/1 (Hydro-JULES: Next generation land surface and hydrological prediction.) |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | Data used by other researchers |
| URL | https://catalogue.ceh.ac.uk/id/9275ab7e-6e93-42bc-8e72-59c98d409deb |
| Title | Potential evapotranspiration derived from HadUK-Grid gridded climate observations 1969-2020 (Hydro-PE HadUK-Grid) |
| Description | Gridded potential evapotranspiration calculated from HadUK-Grid gridded observed meteorological data at 1 km resolution over the United Kingdom for the years 1969-2020. This dataset contains two potential evapotranspiration variables: daily total potential evapotranspiration (PET; kg m-2 d-1) and daily total potential evapotranspiration with interception correction (PETI; kg m-2 d-1). The units kg m-2 d-1 are equivalent to mm d-1. The data are provided in gridded netCDF files. There is one file for each variable, for each calendar month. These data were generated as part of NERC grant NE/S017380/1 (Hydro-JULES: Next generation land surface and hydrological prediction.) |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | Data used by other researchers |
| URL | https://catalogue.ceh.ac.uk/id/470d9bf9-8c82-487c-956e-f15f9d8aac64 |
| Title | Potential evapotranspiration derived from the UK Climate Projections 2018 Regional Climate Model ensemble 1980-2080 (Hydro-PE UKCP18 RCM) |
| Description | Gridded potential evapotranspiration calculated from United Kingdom Climate Projections 2018 (UKCP18) regional climate model (RCM) ensemble at 12 km resolution over the United Kingdom for the years 1980-2080 under the Representative Concentration Pathway 8.5 (RCP8.5) scenario. This dataset contains two potential evapotranspiration variables: daily total potential evapotranspiration (PET; kg m-2 d-1) and daily total potential evapotranspiration with interception correction (PETI; kg m-2 d-1). PET and PETI were calculated for each member of the UKCP18 RCM perturbed parameter ensemble. The units kg m-2 d-1 are equivalent to mm d-1. The data are provided in gridded netCDF files. There is one file for each variable, for each ensemble member, for each decade. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | Data used for other projects. |
| URL | https://catalogue.ceh.ac.uk/id/eb5d9dc4-13bb-44c7-9bf8-c5980fcf52a4 |
| Title | Snow water equivalent estimates using cosmic-ray neutron sensors in the United Kingdom (2014-2019) |
| Description | This dataset provides daily estimates of the Snow Water Equivalent (SWE) using data from 46 COSMOS-UK sites across the United Kingdom. One set of estimates is derived from the cosmic ray neutron sensor and provides an estimate of the average SWE within the sensor's large (>100m) footprint. Other SWE estimates are based on either a snowmelt model, or, for certain sites, either a snow depth sensor or a buried 'SnowFox' neutron sensor. Additionally, daily neutron counts, the albedo, and a collection of figures for each snow event are provided. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | Data available at EIDC |
| URL | https://catalogue.ceh.ac.uk/id/e1fa6897-0f09-4472-adab-5d0d7bbc2548 |
| Title | Soil moisture product merged from satellite and modelled data for Great Britain, April 2015-December 2017 |
| Description | A soil moisture product for Great Britain at two spatial resolutions: 12.5km and 1km, based on triple collocation error estimation and a least-squares merging scheme. Two remote sensing soil moisture datasets (one passive microwave dataset: SMAP, and one active microwave dataset: ASCAT) and a modelled soil moisture dataset (from JULES-CHESS land surface model) were combined to produce this dataset. The dataset covers the period going from 1st April 2015 to 31st December 2017, at a daily timestep, and is available at two spatial resolutions: 12.5km; and 1km, which has been obtained after resampling all three underlying datasets to a 1km resolution. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | Data used by other researchers |
| URL | https://catalogue.ceh.ac.uk/id/26b8ddd4-09fd-4e40-a556-6a8f3a7481ea |
| Description | Met Office REP |
| Organisation | Meteorological Office UK |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Demonstration of hydrological capability developed in Hydro-JULES in Met Office forecasting systems |
| Collaborator Contribution | Integration of code; testing; co-funding |
| Impact | Papers and reports described in relevant sections |
| Start Year | 2021 |
| Title | New North Atlantic Oscillation (NAO) based forecasting outputs operationalised in the Hydrological Outlook |
| Description | A new set of outputs was added to the Hydrological Outlooks website from Dec 2020 - Feb 2021. This is new HydroJULES/UKSCAPE modelling outputs that were operationalised, namely a new high resolution North Atlantic Oscillation (NAO)-based seasonal forecast achieved through collaboration with UK Met Office. Through collaboration with the Met Office, we trialled running their GLOSEA-5 NAO forecasting outputs through a hydrological model (GR4J) already used in the Hydrological Outlook. We validated this through hindcasts, and after several years running as a pilot during wintertime, in Nov 2020 we operationalised this tool through the UK Hydrological Outlook. |
| Type Of Technology | Webtool/Application |
| Year Produced | 2020 |
| Impact | The main impact was this methodology was operationalised and featured in the Hydrological Outlook UK, the UK's primary seasonal hydrological forecasting service. We developed a custom layout to show the outputs and these were featured each month through the winter, alongside the regular outputs. The NAO forecasts provided a different picture to the conventional forecasts, and this in turn led to the new forecasts having an impact on the operational multi-method summary forecast itself. This meant more confident forecast information could be provided to the user community for the upcoming winter, giving early warning of the potential for high river flows. |
| URL | https://www.hydoutuk.net/ |
| Description | Cheltenham Science Festival |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Schools |
| Results and Impact | Major exhibitor at Cheltenham Science festival at which 6000 school children learned about the role of the water cycle in environmental protection. |
| Year(s) Of Engagement Activity | 2022 |
| Description | Hydro-JULES Annual Meeting - Next Generation Land-surface and Hydrological Predictions - 11th September 2019 |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | This one-day science meeting on the topic of Next Generation Land-surface and Hydrological Predictions was the annual meeting of the Hydro-JULES Programme. The aim of the meeting was to facilitate collaborations that will share knowledge, advance existing research, stimulate new research areas, and enable new relationships to be built in environmental fields. 120 people attended the event which was a mixture of keynote speeches from collaborators from Australia, Japan, France and UK, poster sessions, lightening talks and exhibiters demonstrating different areas of progress within the project. The outcome was continued stakeholder engagement and further opportunities for collaboration. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://hydro-jules.org/next-generation-land-surface-and-hydrological-predictions-1 |
| Description | Hydro-JULES Kick Off Meeting September 2018 |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Hydro-JULES Kick Off Meeting- held at UKCEH in September 2018, this was attended by 85 individuals including project team members and stakeholders. The purpose of this meeting was to convey to attendees the scope, structure and ambition of the project as well as project personnel. It was also important to understand the needs and concerns of the hydrology community. Many issues raised at the meeting were followed up and key stakeholders identified. |
| Year(s) Of Engagement Activity | 2018 |
| URL | https://hydro-jules.org/inaugural-open-meeting |
| Description | Hydro-JULES Showcase |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Showcase event for researchers, practitioners and policy makers to share findings and network. |
| Year(s) Of Engagement Activity | 2022 |
| Description | Hydro-JULES Webinar September 2020 |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The webinar was organised in place of a planned annual face to face event due to the global pandemic. The purpose was to communicate to stakeholders the progress and highlights of the research undertaken in Hydro-JULES since September 2019. There were 101 attendees on the day and a recording was made available on the Hydro-JULES website soon after. The webinar was a series of presentations from various researchers involved in the different work packages followed by a Q &A session. The outcome of the webinar is that we received some really appreciative emails from stakeholders and continued engagement with the project. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://hydro-jules.org/news/hydro-jules-2020-webinar |
| Description | Hydro-JULES Website, Blog Posts and Twitter Feed |
| Form Of Engagement Activity | Engagement focused website, blog or social media channel |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Public/other audiences |
| Results and Impact | Website and associated blog posts |
| Year(s) Of Engagement Activity | 2018,2019,2020,2021 |
| URL | http://www.hydro-jules.org |
| Description | Land Surface Modelling Summit |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Land-surface modelling summit co-sponsored by Hydro-JULES attracted ~100 international participants from govt-sponsored modelling centres internationally. Resulted in the establishment of International Land Modelling Forum. |
| Year(s) Of Engagement Activity | 2022 |
| Description | Production of 2 activity packs for School children 14-18yrs about Hydrology - as part of the British Science Association (BSA) Crest Awards scheme |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Schools |
| Results and Impact | Hydro-JULES released two education packs (Silver and Gold) co-produced with the BSA, as part of the CREST Award scheme open to all schools, to introduce hydrological science to school children 14-18 yrs. We have produced a range of education tools to engage teenagers in hydrology and the work of Hydro-JULES. To arouse their curiosity and inspire them to consider a career in science, technology, engineering and maths (STEM), the Hydro-JULES team ditched the technical terms and instead focussed on themes that we felt would be most relevant to UK teenagers. The themes covered by these activities are varied, from researching the potential effects of a drought on businesses and industry to understanding the impacts of flooding on water quality and ecosystems in a local freshwater area. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.crestawards.org/ |
| Description | Production of an activity in the British Science Week Activity Pack 2021 - run by the British Science Association |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Schools |
| Results and Impact | In March 2021 topics connected to the Hydro-JULES science themes were introduced to all UK schools in the British Science Week activity pack produced in collaboration with the British Science Association(BSA). During the COVID lockdowns the home learning pack attracted 96,429 downloads by Autumn 2021 (figures provided by BSA) |
| Year(s) Of Engagement Activity | 2021 |
| Description | Programme of visiting PDRAs & Graduate Students |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Undergraduate students |
| Results and Impact | 5 students ranging from undergraduate to Masters visited UKCEH to work on specific projects with a member of the Hydro-JULES team in one of the environmental research fields covered within the scope of the project. The students were each assigned a supervisor and worked with them. They had opportunities to speak to many of the project team and it improved their understanding of running large complex earth system models and analysing large datasets. The students were all involved in the planning and delivery of the Hydro-JULES conference at the Royal Society and had the opportunity to present a lightening talk on the research they had undertaken. The outcome of this programme is that the students had an opportunity to speak to experts within the hydrology field nationally and internationally and this may inform their future career considerations and capabilities. |
| Year(s) Of Engagement Activity | 2019 |
| Description | Summer / Winter School programme |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | Summer and Winter School programme offering masterclasses, hands-on computer training and keynote lectures to >120 graduate students from over 40 countries. |
| Year(s) Of Engagement Activity | 2021,2022,2023 |