Climate Scenario Development and Applications for Local/Regional Climate Change Impact Assessments
An Overview for the Non-Climate Scientist
Bibliographic Data
| ID | 5697191 |
|---|---|
| Authors | Julie A Winkler (0000-0001-8656-0866, Michigan State University), Galina S Guentchev, Galina Guentchev, Perdinan, Perdinan Perdinan (0000-0003-3822-458X, Michigan State University), Pang-Ning Tan (0000-0003-3205-0339, Michigan State University), Sharon Zhong (Michigan State University), Malgorzata Liszewska (University of Warsaw), Zubin Abraham (Michigan State University), Tadeusz Niedźwiedź (0000-0003-0004-9501, University of Silesia in Katowice), Zbigniew Ustrnul (0000-0003-0957-4396, Jagiellonian University) |
| Year | 2011 |
| Volume | 5 |
| Issue | 6 |
| Pages | 275-300 |
| Publication date | 2011-06-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Geography Compass (JOURNAL) |
| Journal identifiers | ISSN: 1749-8198 • E-ISSN: 1749-8198 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/j.1749-8198.2011.00425.x |
| OpenAlex | W2144387223 |
| Language | EN |
| Citations received | 3 |
| References cited | 92 |
The majority of climate change impact assessments focus on potential impacts at the local/regional scale. Climate change scenarios with a fine spatial resolution are essential components of these assessments. Scenarios must be designed with the goals of the assessment in mind. Often the scientists and stakeholders leading, or participating in, impact assessments are unaware of the challenging and time‐consuming nature of climate scenario development. The intent of this review, presented in two parts, is to strengthen the communication between the developers and users of climate scenarios and ultimately to improve the utility of climate impact assessments. In Part I, approaches to climate downscaling are grouped into three broad categories – dynamic downscaling, empirical‐dynamic downscaling and disaggregation downscaling methods – and the fundamental considerations of the different methods are highlighted and explained for non‐climatologists. Part II focuses on the application of climate change scenarios
Cartography · Climate change · Climate model · Climatology · Downscaling · Environmental planning · Environmental resource management · Geography · Impact assessment · Political science · Climate Change and Environmental Impact · Climate change impacts on agriculture · Climate variability and models · Computer Science · Environmental Science · Ecology
Climate change 2001
NCEP–DOE Amip-II Reanalysis (R-2)
An improved method of constructing a database of monthly climate observations and associated high-resolution grids
North American Regional Reanalysis
A high-resolution data set of surface climate over global land areas
The ERA‐40 re‐analysis
Very high resolution interpolated climate surfaces for global land areas
The WCRP Cmip3 Multimodel Dataset
The Twentieth Century Reanalysis Project
Global Surface Temperature Change
Uncertainty estimates in regional and global observed temperature changes
The next generation of scenarios for climate change research and assessment
The NCEP/NCAR 40-Year Reanalysis Project
The NCEP Climate Forecast System Reanalysis
Extinction risk from climate change
A European daily high‐resolution gridded data set of surface temperature and precipitation for 1950–2006
Use of stochastic weathergenerators for precipitation downscaling
State‐of‐the‐art with regional climate models
| Unique citing works | 3 |
|---|---|
| Citations per year | 0,27 |
| Citation span | 2015 - 2017 (3) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 2 |