easyclimate.filter.barnes_filter

Barnes filter

Barnes filter is a commonly used spatial filtering method that mainly uses two constants g and c to calculate Gaussian weights, and performs spatial interpolation for each grid point, thus becoming a low-pass filter that filters out high-frequency fluctuations. When using two different schemes of constant g and c schemes, both retain low-frequency fluctuations of different scales. The difference between the filtering results of the two methods can result in mesoscale fluctuations.

See also

• Maddox, R. A. (1980). An Objective Technique for Separating Macroscale and Mesoscale Features in Meteorological Data. Monthly Weather Review, 108(8), 1108-1121. https://journals.ametsoc.org/view/journals/mwre/108/8/1520-0493_1980_108_1108_aotfsm_2_0_co_2.xml

• LinOuyang/pybarnes

Functions

calc_barnes_bandpass(data[, g1, g2, c1, c2, ...])	Select two different filtering schemes 1 and 2, and perform the filtering separately.
calc_barnes_lowpass(data[, g, c, lon_dim, ...])	Selecting different parameters g and c will result in different filtering characteristics.