Air Force Data Assimilative Photospheric Flux Transport (ADAPT) Model

By C. Arge, Carl J. Henney, J. Koller, C. R. Compeau, S. Young, D. Mackenzie, A. Fay, J. Harvey, M. Maksimović, K. Issautier and 3 more. 2010

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Ensemble Modeling of CMEs Using the WSA–ENLIL+Cone Model (2015, methodology): “wind. They used National Solar Observatory Global Oscillation Network Group (GONG) (Harvey et al., 1996) synoptic magnetograms and Air Force Data Assimilative Photospheric ﬂux Transport (ADAPT) maps (Arge et al., 2010; Henney et al., 2012). For their CME event they show that when using ADAPT SOLA: M”
Data Assimilation in the ADAPT Photospheric Flux Transport Model (2014, unknown): “The main diﬀerence between the LETKF data assimilation implementation and the older [3, 4, 2] ENLS data assimilation schemes used is how much the ADAPT ensemble is adjusted to agree with the observations.”
Slow Solar Wind: Observations and Modeling (2016, unknown): “Recently, with the development of flux-evolved, time-dependent synchronic maps, such as those produced by the Air Force data assimilative photospheric flux transport (ADAPT) model (Arge et al. 2010), we have begun to develop time-dependent model solutions.”
Space weather: the solar perspective (2021, methodology): “Examples about the application to solar data can be found in e.g., Schrijver and De Rosa (2003), Arge et al. (2010).”