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Strong Linkage Between Observed Daily Precipitation Extremes and Anthropogenic Emissions Across the Contiguous United States
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| Storage: | The size of this resource is 4.3 MB | |
| Created: | Mar 14, 2024 at 3:58 p.m. | |
| Last updated: | Oct 09, 2024 at 4:19 p.m. | |
| Citation: | See how to cite this resource | |
| Content types: | Single File Content |
| Sharing Status: | Private (Accessible via direct link sharing) |
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| Downloads: | 74 |
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Abstract
The results of probabilistic event attribution studies depend on the choice of the extreme value statistics used in the analysis, particularly with the arbitrariness in the selection of appropriate thresholds to define extremes. We bypass this issue by using the Extended Generalized Pareto Distribution (ExtGPD), which jointly models low precipitation with a generalized Pareto distribution and extremes with a different Pareto tail, to conduct daily precipitation attribution across the contiguous United States (CONUS). We apply the ExtGPD to 12 general circulation models from the Coupled Model Intercomparison Project Phase 6 and compare counterfactual scenarios with and without anthropogenic emissions. Observed precipitation by the Climate Prediction Centre is used for evaluating the GCMs. We find that greenhouse gases rather than natural variability can explain the observed magnitude of extreme daily precipitation, especially in the temperate regions. Our results highlight an unambiguous linkage of anthropogenic emissions to daily precipitation extremes across CONUS.
Subject Keywords
Coverage
Spatial
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Content
readme.txt
The sample data and analysis and visualization codes of the manuscript on climate change attribution of daily precipitation extremes across the contiguous United States. Publicly available data from 12 General Circulation Models participated in the Climate Model intercomparison Phase 6, Climate Prediction Centre (CPC) gridded precipitation data are used for the study. The resource is divided into two folders. Data and Codes. Codes folder contains, 1. Analysis codes 2. Visualization Codes and the Data folder contains data for running these codes. Analysis Codes is based on the sample data for a single 1-degree grid. Data used for visualization of the three min figures are included in the Data folder. # There are two folders one contains the data and the other contains the codes In the data folder, CPC observations and GCM precipitation simulations (historical, hist-nat and hist-GHG) for the grid 33.5 N and 280.5E coordinates are provided. It also contains csv files required for plotting figures # In the second folder titled codes, two codes one for the analysis and one for plotting the three main figures in the manuscript is provided. # The codes are clearly commented for easy understanding.
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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