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Probable Maximum Precipitation Estimation Using Generalized Extreme Value Distribution and Regionalization Analysis
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| Type: | Resource | |
| Storage: | The size of this resource is 52.2 KB | |
| Created: | May 04, 2025 at 11:31 p.m. | |
| Last updated: | May 05, 2025 at 12:30 p.m. | |
| Published date: | May 05, 2025 at 12:30 p.m. | |
| DOI: | 10.4211/hs.a99546d93aea49bd9e405cb6b3911b72 | |
| Citation: | See how to cite this resource | |
| Content types: | Single File Content |
| Sharing Status: | Published |
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| Views: | 80 |
| Downloads: | 0 |
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Abstract
This dataset is used as input for implementing a new methodology to estimate Probable Maximum Precipitation (PMP), which is based on the Generalized Extreme Value (GEV) distribution and regionalization analysis. It consists of 428 time series of annual maximum daily precipitation (AMDP) recorded across Chile, along with the corresponding metadata.
Subject Keywords
Coverage
Spatial
Temporal
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Content
Additional Metadata
| Name | Value |
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| AMDP_data.rds | This file contains 428 time series of annual maximum daily precipitation (AMDP) in mm across Chile |
| Metadata_AMDP.txt | This file contains the following metadata for each location: DGA code, Lontitude, Latitude, Elevation in masl, and record length in years. |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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