A new inversion method for temperature retrievals from satellite soundings is
described. The basis of the inversion method is the radiative transfer equation.
Surface observations of temperature, humidity and pressure are also
included. Basis splines have been used to represent the temperature and humidity
profiles. Some physical constraints are also included. This leads toa
linear least-squares problem with linear inequality constraints. The extension
toa nonlinear least-squares problem is discussed.