edu.ucar.gdex::d010074 eng; USA utf-8 dataset NSF NCAR Geoscience Data Exchange datahelp@ucar.edu https://gdex.ucar.edu NSF NCAR Geoscience Data Exchange The Geoscience Data Exchange (GDEX), managed by the Computational and Information Systems Laboratory (CISL) at NSF NCAR, contains a large collection of meteorological, atmospheric composition, and oceanographic observations, and operational and reanalysis model outputs, integrated with NSF NCAR High Performance Compute services to support atmospheric and geosciences research. download pointOfContact 2026-04-21T03:53:49Z ISO 19115 Geographic Information - Metadata ISO19115:2003/Cor 1 2006 https://doi.org/10.5065/TZFD-NP04 Efficient Drift Correction of Initialized Earth System Predictions d010074 2025-07-23 publication Yeager, Stephen G. author Li, Yuanpu author Wu, Xian author Meehl, Gerald A. author Rosenbloom, Nan A. author Glanville, Anne A. author Richter, Jadwiga H. author Van Roekel, Luke P. author Hannah, Walter M. author NSF National Center for Atmospheric Research publisher Ensemble Earth system model predictions initialized from states close to observations generally drift away from observed climatology and towards a biased model climatology over timescales from days to years. Estimation of drift, the change in forecast climatology with lead time, is essential for computing forecast anomalies that can be meaningfully compared with observed anomalies from the past and used with confidence to credibly anticipate weather pattern changes from weeks to decades in advance. Conventional methods for estimating drift rely on the availability of a large sample of reforecasts spanning at least two decades, but generating such comprehensive reforecast sets requires a significant investment of both human and computer resources. We show here that subseasonal to decadal forecast drift can be well estimated using minimal reforecast methods that target a predetermined climatological window, yielding forecast anomaly and skill verification metrics that closely match those obtained using standard (much more expensive) methods. Efficient and accurate forecast drift quantification facilitates prediction system experimentation with greatly reduced overhead. completed datahelp@ucar.edu pointOfContact notPlanned dataset https://gdex.ucar.edu/images/ds_logos/default_200_200.png Logo thumbnail from URL png HDF5/NetCDF4 dataset Resource Type 2021-03-30 revision 4.4 DataCite Metadata Working Group orginator resourceTypeGeneral CESM > NCAR Community Earth System Model U.S. National Aeronautics and Space Administration Global Change Master Directory GCMD 2026-04-15 revision 23.7 NASA Global Change Master Directory orginator Valids List: Platforms EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC PRESSURE > SEA LEVEL PRESSURE U.S. National Aeronautics and Space Administration Global Change Master Directory GCMD 2026-04-15 revision 23.7 NASA Global Change Master Directory orginator Valids List: Science and Services Keywords Creative Commons Attribution 4.0 International License None eng utf-8 climatologyMeteorologyAtmosphere 1959-01-01T0000+00 2023-12-31T2300+00 NSF NCAR Geoscience Data Exchange datahelp@ucar.edu https://gdex.ucar.edu distributor 79548.482 https://gdex.ucar.edu/datasets/d010074/ https Dataset Description Related Link information https://gdex.ucar.edu/datasets/d010074/dataaccess/ https Data Access Related Link download none asNeeded