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1. Empirical Modeling of the Equatorward Boundary of Auroral Precipitation Using DMSP and DE 2

   https://doi.org/10.1029/2018JA025451  

   Landry, R. G. ; Anderson, P. C. ( March 2019 , Journal of Geophysical Research: Space Physics)

   A new model of the equatorward boundary of the diffuse aurora has been developed using observations of precipitating particles made by the Defense Meteorological Satellite Program (DMSP) from 1987 to 2012 as well as Dynamics Explorer 2 (DE 2), which operated from August 1981 to February 1983. Using a local multilinear regression algorithm, we investigated the use of different combinations of magnetometer indices and solar wind coupling functions with different averaging periods and weights to find the best parameterization for a model of the equatorward boundary of the aurora. We find that weighted averages of the AE index and the solar wind coupling functiondΦ_MP/dtboth outperform the often used Kp index. Using conjunction events where two DMSP satellites cross the auroral boundary at nearly the same time, we show that these models are better at extrapolating the auroral boundary to different local times than previous models.

    

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2. Multiresolution Data Assimilation for Auroral Energy Flux and Mean Energy Using DMSP SSUSI, THEMIS ASI, and An Empirical Model

   https://doi.org/10.1029/2022SW003146  

   Wu, Haonan ; Tan, Xiyan ; Zhang, Qiong ; Huang, Whitney ; Lu, Xian ; Nishimura, Yukitoshi ; Zhang, Yongliang ( September 2022 , Space Weather)
3. Poynting Flux in the Dayside Polar Cap Boundary Regions From DMSP F15 Satellite Measurements

   https://doi.org/10.1029/2018JA025309  

   Lu, Yang ; Deng, Yue ; Sheng, Cheng ; Kilcommons, Liam ; Knipp, Delores Jane ( August 2018 , Journal of Geophysical Research: Space Physics)
4. A Large Simulation Set of Geomagnetic Storms—Can Simulations Predict Ground Magnetometer Station Observations of Magnetic Field Perturbations?

   https://doi.org/10.1029/2022SW003049  

   Al Shidi, Q. ; Pulkkinen, T. ; Toth, G. ; Brenner, A. ; Zou, S. ; Gjerloev, J. ( November 2022 , Space Weather)

   We use the Space Weather Modeling Framework Geospace configuration to simulate a total of 122 storms from the period 2010–2019. With the focus on the storm main phase, each storm period was run for 54 hr starting from 6 hr prior to the start of the Dst depression. The simulation output of ground magnetic variations, ΔB_Hin particular, were compared with ground magnetometer station data provided by SuperMAG to statistically assess the Geospace model regional magnetic perturbation prediction performance. Our results show that the regional predictions at mid‐latitudes are quite accurate, but the high‐latitude regional disturbances are still difficult to predict.

    

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5. Transitional Boundary Layer Data Set

   https://doi.org/10.7281/T17S7KX8  

   Jin, Lee ; Tamer, Zaki ( January 2018 , Johns Hopkins Turbulence Databases)

   Direct numerical simulation (DNS) of a transitional boundary layer over a plate with an elliptical leading edge. Navier-Stokes was discretized on a curvilinear grid and solved using a finite volume DNS code. A fractional-step algorithm was adopted, and the spatial discretization was a staggered volume-flux formulation. The viscous terms were integrated in time implicitly using the Crank-Nicolson and the advections terms were treated explicitly using the Adams-Bashforth. Pressure was treated using implicit Euler in the δp-form. The pressure equation was Fourier transformed in the span, and the resulting Helmholtz equation was solved for every spanwise wavenumber using two-dimensional multi-grid. After the simulation has reached a statistical stationary state, 4701 frames of data, which includes the 3 components of the velocity vector and the pressure, are generated and written in files that can be accessed directly by the database (FileDB system). Since the grid is staggered, data at the wall are not stored in the database. However, JHTDB provides values in the region between the wall and the first grid point, y∈[0, 0.0036], using 4th-order Lagrange polynomial inter- and extrapolation. The y-locations of the grid points in the vertical direction can be downloaded from this text file. 

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