An improved synchronous disturbance stochastic approximation algorithm for atmospheric parameters
An atmospheric parameter, random approximation technology, applied in the field of GPS meteorology, can solve the problems of difficult design of tangent linear operator and adjoint operator, increase algorithm complexity, etc., to improve the global search ability, avoid tangent linear operator and adjoint Operators, the effect of improving efficiency and feasibility
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[0049] In this embodiment, the principle of occultation data assimilation is as follows: figure 2 As shown, the carrier signals of the two bands L1 and L2 continuously transmitted by the GPS navigation satellite pass through the atmosphere and are delayed and bent, and then received by the satellite receiver on the low-orbit satellite. The signal receiving end can calculate the transmission delay and bending angle profile of the carrier signal caused by the neutral atmosphere, and further obtain the atmospheric refractive index profile. By assimilating the occultation data such as bending angle and atmospheric refractivity into the numerical weather prediction model, the parameter vector of atmospheric parameters can be solved. Such as image 3 As shown, a method of solving atmospheric parameters of an improved synchronous disturbance random approximation algorithm is carried out as follows:
[0050] Step 1. The current operational system used in numerical weather predictio...
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