Partitioning the Uncertainties in Compound Hot and Dry Precipitation, Soil Moisture, and Runoff Extremes Projections in CMIP6
Abstract A comprehensive assessment of compound hot and dry extremes based on different drought conditions (low precipitation, runoff, or soil moisture) and associated uncertainties is necessary to fully understand the possible risks. Here, we analyze changes in the likelihood of compound hot and dr...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2023-03-01
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| Series: | Earth's Future |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2022EF003315 |
| _version_ | 1827586240501776384 |
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| author | Srinidhi Jha Lukas Gudmundsson Sonia I. Seneviratne |
| author_facet | Srinidhi Jha Lukas Gudmundsson Sonia I. Seneviratne |
| author_sort | Srinidhi Jha |
| collection | DOAJ |
| description | Abstract A comprehensive assessment of compound hot and dry extremes based on different drought conditions (low precipitation, runoff, or soil moisture) and associated uncertainties is necessary to fully understand the possible risks. Here, we analyze changes in the likelihood of compound hot and dry conditions associated with low precipitation, runoff, and soil moisture using Coupled Model Intercomparison Project Phase6 (CMIP6) simulations for present‐day climate (+1°C) and additional global warming levels (+1.5°C, +2°C, +3°C). Further, we investigate the contributions of different components (e.g., global warming levels, climate models, copula types) to the total spread in their future projections. Results show the significance of global warming levels in governing risks of rising compound hot and dry extremes. The hotspot regions include the Mediterranean, South Central America, Amazonia, and Sahara. The rising risks are also accompanied by rising uncertainty as the spread in changing likelihood is significantly contributed by Earth System Models (ESMs), global warming levels, their interactions, and the statistical estimation error. The uncertainty due to ESMs spread was observed to be most significant in the case of compound hot and low soil moisture extremes, which also corresponds to some of the most impactful conditions. It was observed that the estimation error dominates the uncertainty in compound hot and low precipitation extremes as compared to the two other combinations. Our findings indicate that the regional likelihood and associated uncertainties of compound hot‐dry events in CMIP6 projections are functions of both the selection of drought types and the methodology of deriving the joint extremes. |
| first_indexed | 2024-03-08T23:58:34Z |
| format | Article |
| id | doaj.art-485c57ac609043fb992f1ee1467a73db |
| institution | Directory Open Access Journal |
| issn | 2328-4277 |
| language | English |
| last_indexed | 2024-03-08T23:58:34Z |
| publishDate | 2023-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | Earth's Future |
| spelling | doaj.art-485c57ac609043fb992f1ee1467a73db2023-12-12T22:51:52ZengWileyEarth's Future2328-42772023-03-01113n/an/a10.1029/2022EF003315Partitioning the Uncertainties in Compound Hot and Dry Precipitation, Soil Moisture, and Runoff Extremes Projections in CMIP6Srinidhi Jha0Lukas Gudmundsson1Sonia I. Seneviratne2Institute for Atmospheric and Climate Science ETH Zurich Zurich SwitzerlandInstitute for Atmospheric and Climate Science ETH Zurich Zurich SwitzerlandInstitute for Atmospheric and Climate Science ETH Zurich Zurich SwitzerlandAbstract A comprehensive assessment of compound hot and dry extremes based on different drought conditions (low precipitation, runoff, or soil moisture) and associated uncertainties is necessary to fully understand the possible risks. Here, we analyze changes in the likelihood of compound hot and dry conditions associated with low precipitation, runoff, and soil moisture using Coupled Model Intercomparison Project Phase6 (CMIP6) simulations for present‐day climate (+1°C) and additional global warming levels (+1.5°C, +2°C, +3°C). Further, we investigate the contributions of different components (e.g., global warming levels, climate models, copula types) to the total spread in their future projections. Results show the significance of global warming levels in governing risks of rising compound hot and dry extremes. The hotspot regions include the Mediterranean, South Central America, Amazonia, and Sahara. The rising risks are also accompanied by rising uncertainty as the spread in changing likelihood is significantly contributed by Earth System Models (ESMs), global warming levels, their interactions, and the statistical estimation error. The uncertainty due to ESMs spread was observed to be most significant in the case of compound hot and low soil moisture extremes, which also corresponds to some of the most impactful conditions. It was observed that the estimation error dominates the uncertainty in compound hot and low precipitation extremes as compared to the two other combinations. Our findings indicate that the regional likelihood and associated uncertainties of compound hot‐dry events in CMIP6 projections are functions of both the selection of drought types and the methodology of deriving the joint extremes.https://doi.org/10.1029/2022EF003315CMIP6compound extremeshot and dry extremesuncertaintywarming levels |
| spellingShingle | Srinidhi Jha Lukas Gudmundsson Sonia I. Seneviratne Partitioning the Uncertainties in Compound Hot and Dry Precipitation, Soil Moisture, and Runoff Extremes Projections in CMIP6 Earth's Future CMIP6 compound extremes hot and dry extremes uncertainty warming levels |
| title | Partitioning the Uncertainties in Compound Hot and Dry Precipitation, Soil Moisture, and Runoff Extremes Projections in CMIP6 |
| title_full | Partitioning the Uncertainties in Compound Hot and Dry Precipitation, Soil Moisture, and Runoff Extremes Projections in CMIP6 |
| title_fullStr | Partitioning the Uncertainties in Compound Hot and Dry Precipitation, Soil Moisture, and Runoff Extremes Projections in CMIP6 |
| title_full_unstemmed | Partitioning the Uncertainties in Compound Hot and Dry Precipitation, Soil Moisture, and Runoff Extremes Projections in CMIP6 |
| title_short | Partitioning the Uncertainties in Compound Hot and Dry Precipitation, Soil Moisture, and Runoff Extremes Projections in CMIP6 |
| title_sort | partitioning the uncertainties in compound hot and dry precipitation soil moisture and runoff extremes projections in cmip6 |
| topic | CMIP6 compound extremes hot and dry extremes uncertainty warming levels |
| url | https://doi.org/10.1029/2022EF003315 |
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