edu.ucar.opensky::articles:27175 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-24T18:50:27.422391 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.org/ark:/85065/d7474g20 https://doi.org/10.25422/azu.data.23820741.v1 https Related Dataset #1 Post-processed Weather Research and Forecasting model and Community Earth System Model datasets to understand extreme Texas drought and flood years https://doi.org/10.25422/azu.data.23820672.v1 https Related Software #1 Statistical analysis templates for the Weather Research and Forecasting model and Community Earth System Model Enhancing extreme precipitation predictions with dynamical downscaling: A convection-permitting modeling study in Texas and Oklahoma 2024-04-28T00:00:00Z publication https://n2t.org/ark:/85065/d7474g20 https://doi.org/10.1029/2023JD038765 Chang, H. author Chikamoto, Y. author Wang, S. S. author Castro, C. L. author LaPlante, M. D. author Risanto, C. B. author Huang, Xingying author Bunn, P. author UCAR/NCAR - Library publisher Precipitation in the Southern Plains of the United States is relatively well depicted by the Community Earth System Model (CESM). However, despite its ability to capture seasonal mean precipitation anomalies, CESM consistently underestimates extreme pluvial and drought events, rendering it an insufficient tool for extending simulation lead times for exceptional events, such as the abnormally dry May 2011, which helped drive Texas into its worst period of drought in more than a century, and the abnormally wet May 2015, which led to widespread flooding in that state. Ensemble-based regional climate experiments are completed for the two extreme years using Weather Research and Forecasting model (WRF) and downscaled from CESM. WRF simulations are at convection-permitting grid resolution for improved physical representation of simulated precipitation over the Southern Great Plains. By integrating convection-permitting models (CPMs) into each individual member of a CESM ocean data assimilation ensemble, this study demonstrates that high-resolution dynamical downscaling can improve model skillfulness at capturing these two events and is thus a potentially useful tool for forecasting extremely high and extremely low precipitation events at subseasonal or even seasonal lead times. 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 2024 American Geophysical Union (AGU). None eng geoscientificInformation