Who's in Charge? School Counseling Supervision in North Carolina.
Survey results of school counseling supervisors in North Carolina are summarized. Responses show that the majority of school counseling programs in the state are supervised by noncounseling personnel, usually supervisors of curriculum, instructional programs, or other educational areas. Supervisors' educational backgrounds, professional memberships, opinions about counselor certification issues, dominant supervisory functions, and staff development activities are described. The survey results give impetus to recommendations for future AACD and ACES directions regarding counseling supervision.
Supervision of School Counselors: The SAAFT Model.
This article provides a description of a qualitative study of supervisees' experiences of supervision in the Professional Academic Response Model (PARM) program, a supervision intervention/program designed for school counselors. Themes from individual interviews included: (a) the supervisee’s relationship with the supervisor, (b) the supervisee’s relationship with the student, (c) the supervisee’s professional role as a school counselor and (d) the supervisee’s professional identity as a school counselor. These findings underscore the need for additional research in the field that specifically addresses school counselor supervision.
The microscale obstacle-resolving meteorological model MITRAS v2.0: model theory
Abstract. This paper describes the developing theory and underlying
processes of the microscale obstacle-resolving model MITRAS version 2. MITRAS
calculates wind, temperature, humidity, and precipitation fields, as well as
transport within the obstacle layer using Reynolds averaging. It explicitly
resolves obstacles, including buildings and overhanging obstacles, to
consider their aerodynamic and thermodynamic effects. Buildings are
represented by impermeable grid cells at the building positions so that the
wind speed vanishes in these grid cells. Wall functions are used to calculate
appropriate turbulent fluxes. Most exchange processes at the obstacle
surfaces are considered in MITRAS, including turbulent and radiative
processes, in order to obtain an accurate surface temperature. MITRAS is also
able to simulate the effect of wind turbines. They are parameterized using
the actuator-disk concept to account for the reduction in wind speed. The
turbulence generation in the wake of a wind turbine is parameterized by
adding an additional part to the turbulence mechanical production term in the
turbulent kinetic energy equation. Effects of trees are considered
explicitly, including the wind speed reduction, turbulence production, and
dissipation due to drag forces from plant foliage elements, as well as the
radiation absorption and shading. The paper provides not only
documentation of the model dynamics and numerical framework but also a solid
foundation for future microscale model extensions.
