data submission
Authors: | |
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Owners: | Pengfei Shi |
Type: | Resource |
Storage: | The size of this resource is 3.3 MB |
Created: | Dec 25, 2020 at 12:20 p.m. |
Last updated: | Dec 25, 2020 at 1:05 p.m. (Metadata update) |
Published date: | Dec 25, 2020 at 1:05 p.m. |
DOI: | 10.4211/hs.48b3fba7ff3f4e379b7fe9a2dfd2cf55 |
Citation: | See how to cite this resource |
Content types: | Multidimensional Content |
Sharing Status: | Published |
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Views: | 1297 |
Downloads: | 125 |
+1 Votes: | Be the first one to this. |
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Abstract
Using a weakly coupled data assimilation (WCDA) system to constrain the soil moisture and soil temperature in a coupled climate model with a global land data assimilation product, this study demonstrates significant improvements in simulating the interannual variations of EASM rainfall, capturing the notable shift to a "wetter-South-drier-North" rainfall pattern in China in the early 1990s.
Improvements in predicting the EASM rainfall are attributed to the strong land-atmosphere coupling in large areas over China, which allows improved predictions of soil moisture to influence precipitation through soil moisture-precipitation feedback, and the effects of land anomalies on the EASM circulation. This study highlights the significant contribution of land to the interannual predictability of EASM rainfall, with a great potential to advance skillful interannual predictions of benefit to the large populations influenced by the annual whiplash of the summer monsoon rain.
Subject Keywords
Coverage
Spatial
Temporal
Start Date: | 08/01/570 |
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End Date: | 06/07/2003 |

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This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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