Downscaling and geo-spatial gridding of socio-economic projections from the IPCC Special Report on Emissions Scenarios (SRES)

By Stuart R. Gaffin, Cynthia Rosenzweig, Xiaoshi Xing, Gregory Yetman. 2004

225 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/5d00df08b121861dc5c483a2f3f4691e7746a109

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Global and Planetary Change

1. Y. Yamagata
2. Daisuke Murakami
3. Katrin Rehdanz
4. Keywan Riahi
5. C. Fontaine
6. Brian C. O'Neill
7. Bas J. van Ruijven
8. K. Ebi

In Management Science and Operations Research

1. Richard S. J. Tol
2. Y. Yamagata
3. Daisuke Murakami
4. Katrin Rehdanz
5. Bas J. van Ruijven
6. Arnulf Grubler
7. Arthur C. Petersen
8. Mark D. Rounsevell

Citations in the corpus

• Climate change and critical thresholds in China’s food security (2007, methodology): “A2 implies a world of lower economic development and weak globalization, with high population growth ( Gaffin et al. 2004 ), which represents the upper range of climate change and is different from reality (Cholaw 2003; Cholaw et al. 2003).”
• Enhancing the relevance of Shared Socioeconomic Pathways for climate change impacts, adaptation and vulnerability research (2014, methodology): “The first set of these downscaled SRES projections was published by Gaffin et al. (2004) using simple techniques.”
• Regional, national, and spatially explicit scenarios of demographic and economic change based on SRES. Technol Forecast Soc Chang (2007, methodology): “A distinguishing feature of previous attempts to develop subnational gridded scenario indicators (most notably [9]) is the use of current population density as (single) distributional criteria.”
• Estimation of Gridded Population and GDP Scenarios with Spatially Explicit Statistical Downscaling (2016, background): “(2004) [3] is an initial work which estimated the gridded population and GDP of the world.”
• An agent-based approach to model future residential pressure on a regional landscape (2009, background): “The IPCC scenarios have become a standard for environmental change studies (Holman et al. 2005a, b; Holman et al. 2008; O’Neill 2005; Gaffin et al. 2004; Rounsevell et al. 2005; Reginster and Rounsevell 2006).”
• Future Coastal Population Growth and Exposure to Sea-Level Rise and Coastal Flooding - A Global Assessment (2015, unknown): “[53].”
• Economic costs of ocean acidification: a look into the impacts on global shellfish production (2012, methodology): “027% based on Gaffin et al.’s GDP projections. These figures correspond to 1.0% and 1.5% of the total expected damage of climate change (which corresponds to 1.8% of world GDP excluding the impacts of ocean acidification) based on the equation from Tol’s (2009) meta-study on the economic impact of c”
• Climate and socio-economic scenarios for global-scale climate change impacts assessments: characterising the SRES storylines (2004, unknown): “National GDP was downscaled from the SRES world-region projections by CIESIN (Gaffin et al., 2003), converting national currencies to US$ using market exchange rates, and assuming that every country in a region grows at the same rate.”