edu.ucar.opensky::articles:42505 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-24T18:03:05.779581 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.net/ark:/85065/d7k64pdn https://doi.org/10.5281/zenodo.13831085 https Related Software #1 sr-dash/SFT-1D: Final updates to the repo. Ensemble Kalman filter data assimilation into the Surface Flux Transport model to infer surface flows: An Observing System Simulation Experiment 2024-11-01T00:00:00Z publication https://n2t.net/ark:/85065/d7k64pdn https://doi.org/10.3847/1538-4357/ad7eac Dash, S. author DeRosa, M. L. author Dikpati, Mausumi author Sun 孙, X. 旭. author Mahajan, S. S. author Liu 刘, Y. 扬. author Hoeksema, J. T. author UCAR/NCAR - Library publisher Knowledge of the global magnetic field distribution and its evolution on the Sun&#8217;s surface is crucial for modeling the coronal magnetic field, understanding the solar wind dynamics, computing the heliospheric open flux distribution, and predicting the solar cycle strength. As the far side of the Sun cannot be observed directly and high-latitude observations always suffer from projection effects, we often rely on surface flux transport (SFT) simulations to model the long-term global magnetic field distribution. Meridional circulation, the large-scale north&#8211;south component of the surface flow profile, is one of the key components of the SFT simulation that requires further constraints near high latitudes. Prediction of the photospheric magnetic field distribution requires knowledge of the flow profile in the future, which demands reconstruction of that same flow at the current time so that it can be estimated at a later time. By performing Observing System Simulation Experiments, we demonstrate how the ensemble Kalman filter technique, when used with an SFT model, can be utilized to make &#8220;posterior&#8221; estimates of flow profiles into the future that can be used to drive the model forward to forecast the photospheric magnetic field distribution. 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 <span style="font-family:Arial;font-size:10pt;font-style:normal;" data-sheets-root="1">Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.</span> None eng geoscientificInformation