Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
This data descriptor reports the main scientific values from General Circulation Models (GCMs) in the Precipitation Driver and Response Model Intercomparison Project (PDRMIP). The purpose of the GCM simulations has been to enhance the scientific understanding of how changes in greenhouse gases, aerosols, and incoming solar radiation perturb the Earth's radiation balance and its climate response in terms of changes in temperature and precipitation. Here we provide global and annual mean results for a large set of coupled atmospheric-ocean GCM simulations and a description of how to easily extract files from the dataset. The simulations consist of single idealized perturbations to the climate system and have been shown to achieve important insight in complex climate simulations. We therefore expect this data set to be valuable and highly used to understand simulations from complex GCMs and Earth System Models for various phases of the Coupled Model Intercomparison Project.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8967886 | PMC |
| http://dx.doi.org/10.1038/s41597-022-01194-9 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Global assessment of population exposure to multiple climate-related hazards from 2003 to 2021: a retrospective analysis.
Lancet Planet Health
August 2025
Institute for Environmental Decisions, ETH Zurich, Zurich, Switzerland; Federal Office of Meteorology and Climatology MeteoSwiss, Zurich, Switzerland.
Background: The climate crisis is increasingly recognised as a health crisis, driven in part by the growing frequency and intensity of climate-related hazards, such as heatwaves and wildfires. These hazards can coincide, potentially leading to compound impacts. However, little is known about where and how often such combinations occur globally.
View Article and Find Full Text PDFRecent Advances in the Observation and Modeling of Aerosol-Cloud Interactions, Cloud Feedbacks, and Earth's Energy Imbalance: A Review.
Curr Pollut Rep
August 2025
Department of Earth Science, Okayama University, Okayama, Japan.
Purpose Of Review: This review focuses on improving the understanding of the effects of anthropogenic aerosols on cloud processes, precipitation, radiation, climate, associated feedback mechanisms, and Earth's energy imbalance (EEI), with a particular emphasis on literature published after the IPCC AR6.
Recent Findings: EarthCARE, an epoch-making satellite mission, has just been launched in 2024. Global climate models (GCMs) have become sophisticated, particularly with respect to the treatment of precipitation, and novel GCMs have been developed for the upcoming Coupled Model Intercomparison Project (CMIP).
Integrating double techniques of statistical downscaling and bias correction to reduce bias in projections trends of future climate datasets.
Sci Rep
August 2025
Geophysics and Natural Hazards Laboratory, Department of Geomorphology and Geomatics, Scientific Institute, Mohammed V University in Rabat, Avenue Ibn Batouta, PO Box 703, Agdal, Rabat-City, 10106, Morocco.
Climate change is one of the most significant challenges of the 21st century, particularly its impact on surface water availability in arid and hyper-arid regions within the Euphrates River Basin. This study aims to analyze the impacts of climate change using five global climate models (GCMs) within the Coupled Model Intercomparison Project Phase 6 (CMIP6, IPCC 2021). Model outputs were statistically downscaled using Statistical Downscaling Model (SDSM 6.
View Article and Find Full Text PDFPDSI_CMIP6: an ensemble CMIP6-projected self-calibrated Palmer drought severity index dataset.
Sci Data
August 2025
State Key Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing, China.
Drought, characterized by below-average water supply, profoundly affects regional water resources and various ecosystem services. The Palmer Drought Severity Index (PDSI) is a widely used metric for drought monitoring and climate change assessments but suffers from inherent climatic inconsistencies and lacks comprehensive and reliable estimates under changing climate conditions. Here we develop a monthly multi-model and multi-scenario dataset of self-calibrated PDSI for the period 1850-2094, derived from 11 climate model outputs within the Coupled Model Intercomparison Project 6 (PDSI_CMIP6).
View Article and Find Full Text PDFClimate-driven spread of giant hogweed [Heracleum mantegazzianum (Sommier & Levier) in Turkey: assessing future invasion risks under CMIP6 climate projections.
BMC Plant Biol
August 2025
Department of Plant Protection, Faculty of Agriculture, Harran University, Şanlıurfa, 63050, Türkiye.
Background: Biological invasions pose significant ecological and socio-economic threats globally. Heracleum mantegazzianum (giant hogweed) is an invasive plant, extensively invading Europe and North America. It exerts negative impacts on ecosystems, native vegetation, and public health in the invaded range.
View Article and Find Full Text PDF