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Risk of Flooding from Surface Water Depth: 0.1 percent annual chance

PLEASE NOTE: This record has been retired. It has been superseded by: https://environment.data.gov.uk/dataset/b5aaa28d-6eb9-460e-8d6f-43caa71fbe0e This dataset is not suitable for identifying...

Risk of Flooding from Surface Water Depth: 3.3 percent annual chance

PLEASE NOTE: This record has been retired. It has been superseded by: https://environment.data.gov.uk/dataset/b5aaa28d-6eb9-460e-8d6f-43caa71fbe0e This dataset is not suitable for identifying...

Propagator - EPSRC project: Development of Unified Experimental and Theoretical Approach to Predict Reactive Transport in Subsurface Porous Media

EPSRC grant EP/L012227/1: Development of Unified Experimental and Theoretical Approach to Predict Reactive Transport in Subsurface Porous Media. The effect of pore-scale heterogeneity on non-Darcy...

Risk of Flooding from Surface Water Direction (25m): 1 percent annual chance

PLEASE NOTE: This record has been retired. It has been superseded by: https://environment.data.gov.uk/dataset/b5aaa28d-6eb9-460e-8d6f-43caa71fbe0e This dataset is not suitable for identifying...

Risk of Flooding from Surface Water Direction (2m): 1 percent annual chance

PLEASE NOTE: This record has been retired. It has been superseded by: https://environment.data.gov.uk/dataset/b5aaa28d-6eb9-460e-8d6f-43caa71fbe0e This dataset is not suitable for identifying...

Predictor variables and sedimentation rate samples used to predict sedimentation rates within the Baltic Sea from 1992 - 2017

Input data used to predict sedimentation rate for the Baltic Sea. Observation data includes: Sedimentation rate data derived from isotope 137Cs tracers and pseudo-samples of zero sedimentation...

Predictor variables and sedimentation rate samples used to predict sedimentation rates within the Baltic Sea from 1992 - 2017

Input data used to predict sedimentation rate for the Baltic Sea. Observation data includes: Sedimentation rate data derived from isotope 137Cs tracers and pseudo-samples of zero sedimentation...

Risk of Flooding from Surface Water Direction (2m): 0.1 percent annual chance

PLEASE NOTE: This record has been retired. It has been superseded by: https://environment.data.gov.uk/dataset/b5aaa28d-6eb9-460e-8d6f-43caa71fbe0e This dataset is not suitable for identifying...

Risk of Flooding from Surface Water Direction (25m): 0.1 percent annual chance

PLEASE NOTE: This record has been retired. It has been superseded by: https://environment.data.gov.uk/dataset/b5aaa28d-6eb9-460e-8d6f-43caa71fbe0e This dataset is not suitable for identifying...

Risk of Flooding from Surface Water Direction (25m): 3.3 percent annual chance

PLEASE NOTE: This record has been retired. It has been superseded by: https://environment.data.gov.uk/dataset/b5aaa28d-6eb9-460e-8d6f-43caa71fbe0e This dataset is not suitable for identifying...

Risk of Flooding from Surface Water Direction (2m): 3.3 percent annual chance

PLEASE NOTE: This record has been retired. It has been superseded by: https://environment.data.gov.uk/dataset/b5aaa28d-6eb9-460e-8d6f-43caa71fbe0e This dataset is not suitable for identifying...

PalaeoQUMP (Quantifying and Understanding the Earth System - Using Palaeodata to Quantify Uncertainties in Model Prediction): Global Charcoal Database

PalaeoQUMP was headed by Prof Sandy Harrison of the University of Bristol, with co-investigators at the University of Southampton and Durham University, as part of QUEST (Quantifying and...

PalaeoQUMP (Quantifying and Understanding the Earth System - Using Palaeodata to Quantify Uncertainties in Model Prediction): Global Charcoal Database

PalaeoQUMP was headed by Prof Sandy Harrison of the University of Bristol, with co-investigators at the University of Southampton and Durham University, as part of QUEST (Quantifying and...

Flood Risk for Extreme Events (FREE): Historical Rainfall Data and Maps from the Quantifying Flood Risk of Extreme Events using Density Forecasts Based on a New Digital Archive and Weather Ensemble Predictions Project

The Quantifying Flood Risk of Extreme Events using Density Forecasts Based on a New Digital Archive and Weather Ensemble Predictions Project is a Natural Environment Research Council (NERC) Flood...

Flood Risk for Extreme Events (FREE): Historical Rainfall Data and Maps from the Quantifying Flood Risk of Extreme Events using Density Forecasts Based on a New Digital Archive and Weather Ensemble Predictions Project

The Quantifying Flood Risk of Extreme Events using Density Forecasts Based on a New Digital Archive and Weather Ensemble Predictions Project is a Natural Environment Research Council (NERC) Flood...

Modelled fluvial flood depth data created 2004: 1 percent annual chance for grid reference SS

This modelled fluvial flood depth data was created for the 1% annual chance of flooding situations and was produced as a by-product from the 2004 generalised modelling project. The purpose of the...

Modelled fluvial flood depth data created 2004: 1 percent annual chance for grid reference TR

This modelled fluvial flood depth data was created for the 1% annual chance of flooding situations and was produced as a by-product from the 2004 generalised modelling project. The purpose of the...

Modelled fluvial flood depth data created 2004: 1 percent annual chance for grid reference TV

This modelled fluvial flood depth data was created for the 1% annual chance of flooding situations and was produced as a by-product from the 2004 generalised modelling project. The purpose of the...

Predicted erosion hazards to electricity transmission towers in the Mersey River valley under hypothetical future flow scenarios, 2018-2050

This dataset contains information about predicted future erosion hazards to electricity transmission towers at a site in the Mersey River valley. River channel change and floodplain erosion rates...

Modelled fluvial flood depth data created 2004: 1 percent annual chance for grid reference NZ

This modelled fluvial flood depth data was created for the 1% annual chance of flooding situations and was produced as a by-product from the 2004 generalised modelling project. The purpose of the...