LARS-WG can be used by individuals from academic, governmental and non-profit organizations for research. The use of LARS-WG for research projects requires a licence. LARS-WG cannot be used for any commercial applications.

You can download LARS-WG and install on your PC. You have to register your copy with in 30 days by sending your name, your affiliation and your intended use to mikhail.semenov@rothamsted.ac.uk. You will receive your personal key. By requesting a key, you agree to share the LARS-WG derivatives, e.g. site parameter and diagnostics files, with the research community.

This release includes 15 GCMs used in CMIP3 (a full list of GCMs can be found here). Predictions are available for three IPCC emission scenarios SRA1B, SRA2 and SRB1 and three periods 2020s, 2055s and 2090s.

More details could be found in Semenov MA, Stratonovitch P (2010) The use of multi-model ensembles from global climate models for impact assessments of climate change. Climate Research 41:1-14(pdf)

Download LARS-WG 5.5 (223 MB, update 16 Jan 2012, expires on 31 Dec 2012)

Quick Start for LARS-WG 5 (update 25 July 2010)

(for beginners, use LARS-WG 3.0 manual , update 5 September 2002)

Local-scale climate scenarios worldwide

We are developing datasets of local-scale climate scenarios for several rigions around the world. These datasets consist of the LARS-WG site parameters for baseline derived from observed daily weather and climate predictions from multi-model ensemble of global or regional climate models.

A dataset of local-scale climate scenarios for Europe (ELPIS) has been completed. It includes climate projections from the ENSEMBLES EU project, which provide much better spatial resolution (25 km) and incorporate changes in climatic variability (a full list of RCM can be found here ). See Semenov et al (2010) ELPIS: a dataset of local-scale daily climate scenarios for Europe, Climate Research, 44:3-125 (pdf) for more details.

A dataset for Japan (ELPIS-JP) will be available soon.

Dr Mikhail Semenov
Centre for Mathematical and
Computational Biology
Rothamsted Research
Harpenden, Herts, AL5 2JQ
UNITED KINGDOM
e-mail:mikhail.semenov@rothamsted.ac.uk