edu.ucar.opensky::articles:22474 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-25T15:37:08.508021 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.org/ark:/85065/d7fj2kvp Human influence on winter precipitation trends (1921–2015) over North America and Eurasia revealed by dynamical adjustment 2019-03-28T00:00:00Z publication https://n2t.org/ark:/85065/d7fj2kvp https://doi.org/10.1029/2018GL081316 Guo, Ruixia author Deser, Clara author Terray, Laurent author Lehner, Flavio author UCAR/NCAR - Library publisher Detecting and attributing a human influence on observed rainfall trends is a major challenge due to the presence of large amplitude internal variability on all time scales and by limited temporal and spatial data coverage. Here we apply a dynamical adjustment methodology to a gridded archive of monthly precipitation to estimate an anthropogenic influence on long-term (1920-2015) trends over North America and Eurasia during winter (November-March). This empirical approach aims to remove atmospheric circulation influences from precipitation variability and trends, thereby revealing the thermodynamically induced component as a residual. The geographical pattern and amplitude of this observed thermodynamic residual precipitation trend are in good agreement with anthropogenically forced trends obtained from ensembles of historical climate model simulations. Such consistency helps to reconcile observations and models and provides compelling evidence for a human influence on century-scale precipitation trends over North America and Eurasia during the cold season. 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 2019 Author(s). This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International license. None eng geoscientificInformation