edu.ucar.opensky::articles:26910 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-24T18:57:43.489119 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.org/ark:/85065/d7st7tzp https://doi.org/10.18160/YVR0-4898 https Related Dataset #1 Drought-2018 ecosystem eddy covariance flux product for 52 stations in FLUXNET-Archive format Evaluation of land–atmosphere coupling processes and climatological bias in the UFS Global Coupled Model 2024-01-01T00:00:00Z publication https://n2t.org/ark:/85065/d7st7tzp https://doi.org/10.1175/JHM-D-23-0097.1 Seo, E. author Dirmeyer, P. A. author Barlage, M. author Wei, H. author Ek, Michael B. author UCAR/NCAR - Library publisher This study investigates the performance of the latter NCEP Unified Forecast System (UFS) Coupled Model prototype simulations (P5-P8) during boreal summer 2011-17 in regard to coupled land-atmosphere processes and their effect on model bias. Major land physics updates were implemented during the course of model development. Namely, the Noah land surface model was replaced with Noah-MP and the global vegetation dataset was updated starting with P7. These changes occurred along with many other UFS improvements. This study investigates UFS's ability to simulate ob-served surface conditions in 35-day predictions based on the fidelity of model land surface processes. Several land surface states and fluxes are evaluated against flux tower observations across the globe, and segmented coupling processes are also diagnosed using process-based multivariate metrics. Near-surface meteorological variables generally improve, especially surface air temperature, and the land-atmosphere coupling metrics better represent the observed covariance between sur-face soil moisture and surface fluxes of moisture and radiation. Moreover, this study finds that temperature biases over the contiguous United States are connected to the model's ability to simulate the different balances of coupled processes between water-limited and energy-limited regions. Sensitivity to land initial conditions is also implicated as a source of forecast error. Above all, this study presents a blueprint for the validation of coupled land-atmosphere behavior in forecast models, which is a crucial model development task to assure forecast fidelity from day one through subseasonal time scales. 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 Meteorological Society (AMS). None eng geoscientificInformation