| Page info |
|---|
| infoType | Modified date |
|---|
| prefix | Last modified on |
|---|
| type | Flat |
|---|
|
| Info |
|---|
| icon | false |
|---|
| title | Table of Contents |
|---|
|
|
| Easy Heading Macro |
|---|
| navigationExpandOption | collapse-all-but-headings-1 |
|---|
|
Introduction
Global Climate Models (GCM) can provide reliable climate information on global, continental and large regional scales covering what could be a vastly differing landscape (from very mountainous to flat coastal plains for example) with greatly varying potential for floods, droughts or other extreme events. Horizontal resolution limits the possibility to address smaller scale ranging from regional to local. Regional Climate Models (RCM) applied with higher spatial resolution over a limited area and driven by GCMs can provide more appropriate information on such smaller scales supporting more detailed impact and adaptation assessment and planning. Therefore Regional Climate Models (RCMs) have an important role to play by providing projections with much greater detail and more accurate representation of localized extreme events.
...
...
- Teichmann, C., Jacob, D., Remedio, A.R. et al. (2020) Assessing mean climate change signals in the global CORDEX-CORE ensemble. Clim Dyn. https://doi.org/10.1007/s00382-020-05494-x
- Coppola, E., Raffaele, F., Giorgi, F. et al. (2021) Climate hazard indices projections based on CORDEX-CORE, CMIP5 and CMIP6 ensemble. Clim Dyn. https://doi.org/10.1007/s00382-021-05640-z
Related articles
| Content by Label |
|---|
| showLabels | false |
|---|
| max | 5 |
|---|
| spaces | CKB |
|---|
| showSpace | false |
|---|
| sort | modified |
|---|
| reverse | true |
|---|
| type | page |
|---|
| cql | label = "climate-projection" and type = "page" and space = "CKB" |
|---|
| labels | era5 |
|---|
|
...