edu.ucar.opensky::articles:23597 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-25T15:02:34.719531 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.org/ark:/85065/d7b85cdt https://doi.org/10.22033/ESGF/CMIP6.5195 https Related Dataset #1 IPSL IPSL-CM6A-LR model output prepared for CMIP6 CMIP historical https://doi.org/10.22033/ESGF/CMIP6.727 https Related Dataset #2 EC-Earth-Consortium EC-Earth3-Veg model output prepared for CMIP6 ScenarioMIP https://doi.org/10.22033/ESGF/CMIP6.2949 https Related Dataset #3 BCC BCC-ESM1 model output prepared for CMIP6 CMIP historical https://doi.org/10.22033/ESGF/CMIP6.6113 https Related Dataset #4 MOHC UKESM1.0-LL model output prepared for CMIP6 CMIP historical https://doi.org/10.22033/ESGF/CMIP6.2948 https Related Dataset #5 BCC BCC-CSM2MR model output prepared for CMIP6 CMIP historical https://doi.org/10.22033/ESGF/CMIP6.10071 https Related Dataset #6 NCAR CESM2-WACCM model output prepared for CMIP6 CMIP historical https://doi.org/10.22033/ESGF/CMIP6.7627 https Related Dataset #7 NCAR CESM2 model output prepared for CMIP6 CMIP historical Seasonal representation of extreme precipitation indices over the United States in CMIP6 present-day simulations 2020-08-21T00:00:00Z publication https://n2t.org/ark:/85065/d7b85cdt https://doi.org/10.1088/1748-9326/ab92c1 Akinsanola, A. A. author Kooperman, G. author Pendergrass, Angeline author Hannah, W. author Reed, K. author UCAR/NCAR - Library publisher Realistically representing the present-day characteristics of extreme precipitation has been a challenge for global climate models, which is due in part to deficiencies in model resolution and physics, but is also due to a lack of consistency in gridded observations. In this study, we use three observation datasets, including gridded rain gauge and satellite data, to assess historical simulations from sixteen Coupled Model Intercomparison Project Phase 6 (CMIP6) models. We separately evaluate summer and winter precipitation over the United States (US) with a comprehensive set of extreme precipitation indices, including an assessment of precipitation frequency, intensity and spatial structure. The observations exhibit significant differences in their estimates of area-average intensity distributions and spatial patterns of the mean and extremes of precipitation over the US. In general, the CMIP6 multi-model mean performs better than most individual models at capturing daily precipitation distributions and extreme precipitation indices, particularly in comparison to gauge-based data. Also, the representation of the extreme precipitation indices by the CMIP6 models is better in the summer than winter. Although the 'standard' horizontal-resolution can vary significantly across CMIP6 models, from similar to 0.7 degrees to similar to 2.8 degrees, we find that resolution is not a good indicator of model performance. Overall, our results highlight common biases in CMIP6 models and demonstrate that no single model is consistently the most reliable across all indices. UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact PDF Text theme Resource Type 2016-01-01T00:00:00Z publication Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. None eng geoscientificInformation