Potential of biomass energy out to 2100, for four IPCC SRES land-use scenarios

Harmonisation of global land-use scenarios for the period 1500–2100 for IPCC-AR5

6 George Hurtt is Associate Professor in the Department of Natural Resources and the Environment and the Institute for the Study of Earth, Oceans, and Space at the University of New Hampshire. He has published on a wide range of topics including the role of dispersal in the dynamics and structure of plant communities, latitudinal and elevational gradients in biodiversity, and ocean and terrestr...

Changes in atmospheric sulfur burdens and concentrations and resulting radiative forcings under IPCC SRES emission scenarios for 1990-2100

Effects of Ipcc Sres Emissions Scenarios on River Runoff: a Global Perspective Effects of Ipcc Sres* Emissions Scenarios on River Runoff: a Global Perspective

This paper describes an assessment of the implications of future climate change for river runoff across the entire world, using six climate models which have been driven by the SRES emissions scenarios. Streamflow is simulated at a spatial resolution of 0.5 o ×0.5 o using a macro-scale hydrological model, and summed to produce total runoff for almost 1200 catchments. The effects of climate chan...

Wedge decomposition analysis: Application to SRES and Post-SRES Scenarios

We introduce a general methodology for displaying the gross assumptions behind any carbon emissions trajectory, relative to a reference trajectory, and we apply this methodology to a limited number of IPCC SRES scenarios [1]. These scenarios have been used widely for climate change analysis. We examine four scenarios (A1B, A2, B1, B2) together with three paired “post-SRES” scenarios [2, 3] that...

Daily relative humidity projections in an Indian river basin for IPCC SRES scenarios

A two-stage methodology is developed to obtain future projections of daily relative humidity in a river basin for climate change scenarios. In the first stage, Support Vector Machine (SVM) models are developed to downscale nine sets of predictor variables (large-scale atmospheric variables) for Intergovernmental Panel on Climate Change Special Report on Emissions Scenarios (SRES) (A1B, A2, B1, ...