Developing and implementing methodologies for using probabilistic climate projections (UKCP09) in building simulation and other analytical procedures.
Author: sferg
DOWNPIPE: Design Of Water Networks using ProbabilistIc PrEdiction
Identifying the benefits of using UKCP09 probabilistic data in property drainage design and adaption in order to reduce flood risk.
4M: measurement, modelling, mapping and management
Research focused on the city of Leicester, examining buildings, transport and carbon emissions.
PROMETHEUS: The use of probabilistic climate data to future proof design decisions in the buildings sector
The project developed a new set of probabilistic reference years that can be understood and used by building designers.
COPSE: Coincident Probabilistic climate change weather data for a Sustainable built Environment
The COPSE project developed derived weather data for building designers, based on probabilistic climate projections rather than observed data.
CREW: Community Resilience to Extreme Weather
Based at Cranfield University, CREW developed a set of tools to improve the capacity of local communities to cope with the impacts of extreme weather events
LUCID: The Development of a Local Urban Climate Model and its Application to the Intelligent Development of Cities
The project aims to understand the impact of local climate on energy use, comfort and health.
SCORCHIO: Sustainable Cities: Options for Responding to Climate Change Impacts and Outcomes
Developing tools to help planners, designers, engineers and users to adapt urban areas, with a particular emphasis on heat and human comfort.