Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...
This resource contains some files/folders that have non-preferred characters in their name. Show non-conforming files/folders.
This resource contains content types with files that need to be updated to match with metadata changes. Show content type files that need updating.
Tropical Cyclone Precipitation in the HighResMIP Atmosphere-only Experiments of the PRIMAVERA Project
| Authors: |
|
|
|---|---|---|
| Owners: |
|
This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource. |
| Type: | Resource | |
| Storage: | The size of this resource is 430.9 KB | |
| Created: | Mar 18, 2021 at 3:51 p.m. | |
| Last updated: | Mar 23, 2021 at 7:38 p.m. | |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
|---|---|
| Views: | 910 |
| Downloads: | 11 |
| +1 Votes: | Be the first one to this. |
| Comments: | No comments (yet) |
Abstract
This study examines the climatology and structure of rainfall associated with tropical cyclones (TCs) based on the atmosphere-only Coupled Model Intercomparison Project Phase 6 (CMIP6) HighResMIP runs of the PRocess-based climate sIMulation: AdVances in high resolution modelling and European climate Risk Assessment (PRIMAVERA) Project during 1979-2014. We evaluate how the spatial resolution of climate models with a variety of dynamic cores and parameterization schemes affects the representation of TC rainfall. These HighResMIP atmosphere-only runs that prescribe historical sea surface temperatures and radiative forcings can well reproduce the observed spatial pattern of TC rainfall climatology, with high-resolution models generally performing better than the low-resolution ones. Overall, the HighResMIP atmosphere-only runs can also reproduce the observed percentage contribution of TC rainfall to total amounts, with an overall better performance by the high-resolution models. The models perform better over ocean than over land in simulating climatological total TC rainfall, TC rainfall proportion and TC rainfall per TC in terms of spatial correlation. All the models in the HighResMIP atmosphere-only runs underestimate the observed composite TC rainfall structure over both land and ocean, especially in their lower resolutions. The underestimation of rainfall composites by the HighResMIP atmosphere-only runs is also supported by the radial profile of TC rainfall. Overall, the increased spatial resolution generally leads to an improved model performance in reproducing the observed TC rainfall properties.
Subject Keywords
Coverage
Temporal
| Start Date: | |
|---|---|
| End Date: |
Content
Related Resources
| The content of this resource is derived from | International Best Track Archive for Climate Stewardship (IBTrACS) version 4 (https://www.ncdc.noaa.gov/ibtracs/) |
| The content of this resource is derived from | Multi-Source Weighted-Ensemble Precipitation, version 2 (MSWEP V2) (http://www.gloh2o.org/mswep/) |
| The content of this resource is derived from | PRocess-based climate sIMulation: AdVances in high resolution modelling and European climate Risk Assessment (PRIMAVERA) Project (https://www.primavera-h2020.eu/modelling/data-code/) (https://www.primavera-h2020.eu/modelling/our-simulations/) |
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| National Science Foundation | Quantification of the Impacts of Urban Areas on Heavy Rainfall and Flooding from North Atlantic Tropical Cyclones | EAR-1840742 |
Contributors
People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.
| Name | Organization | Address | Phone | Author Identifiers |
|---|---|---|---|---|
| Wei Zhang | University of Iowa | |||
| Enrico Scoccimarro | Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici | |||
| Malcolm Roberts | UK Meteorological Office | |||
| Pier Luigi Vidale | University of Reading | |||
| Benoit Vanniere | University of Reading | |||
| Louis-Philippe Caron | Barcelona Supercomputing Center | |||
| Dian Putrasahan | Max Planck Gesellschaft zur Foerderung der Wissenschaften | |||
| Christopher Roberts | European Centre for Medium-Range Weather Forecasts | |||
| Retish Senan | European Centre for Medium-Range Weather Forecasts | |||
| Marie-Pierre Moine | Climat, Environnement, Couplages, Incertitudes |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
Comments
There are currently no comments
New Comment