全球次声基准噪声数据
一、数据来源说明
次声全球噪声上、下限噪声数据从python obspy库中进行提取。可用于计算psd时加载全球噪声上下限，以辅助psd计算是否正确。
二、模型数据
hi_noise_periods=[87.85166564 80.58421878 73.9196667 67.80317017 62.19421634 57.04925797, 52.32991147 48.00096849 44.03013327 40.38871166 37.04674022 33.98208329, 31.17166498 28.59235978 26.22708356 24.05747261 22.06734069 20.24184057, 18.56735325 17.03138632 15.62248081 14.3301257 13.14498213 12.05729815, 11.05986943 10.14495208 9.30572041 8.53591339 7.82978794 7.18207606, 6.58794553 6.0429639 5.54306537 5.08452047 4.66390827 4.27809082, 3.92418976 3.59956483 3.3017942 3.02865636 2.7781136 2.54829675, 2.33749128 2.1441245 1.96675381 1.8040144 1.6548171 1.5179239, 1.39235507 1.2771738 1.17152079 1.07460783 0.9857119 0.90416981, 0.8293732 0.76074656 0.69783058 0.6401032 0.58713774 0.53857972, 0.49402622 0.45315836 0.41567126 0.38128525 0.34974378 0.32080417, 0.29427272 0.26992928 0.24759393 0.22711719 0.20832913 0.1910909, 0.17528712 0.16078665 0.14748573 0.135282 0.12409378 0.11382823]
hi_noise_model=[ 35.72 35.6029 35.475 35.3352 35.1836 35.0369 34.8769 34.7025, 34.5124 33.655 32.8949 32.3412 31.7377 31.2789 30.7786 30.095, 29.3503 28.3249 26.8902 25.492 23.6903 22.7642 22.1167 21.4836, 21.2124 20.3906 19.9002 19.1717 18.6165 17.8802 17.4154 16.4044, 15.505 14.6659 14.1281 13.5315 13.0198 12.3145 11.71 10.615, 9.3966 8.1011 6.7795 5.3131 3.8196 2.5948 0.916 -0.3414, -1.3415 -2.6178 -4.4496 -6.2661 -8.2417 -9.2433 -10.1698 -10.9507, -11.6303 -12.0155 -12.4891 -13.063 -13.4962 -14.155 -14.9433 -15.6327, -16.3514 -17.0438 -17.6305 -18.1432 -18.6647 -19.1117 -19.4471 -19.9301, -20.337 -20.9105 -21.6671 -22.565 -23.696 -25.0557]
low_nose_periods=[87.85166564 80.58421878 73.9196667 67.80317017 62.19421634 57.04925797, 52.32991147 48.00096849 44.03013327 40.38871166 37.04674022 33.98208329, 31.17166498 28.59235978 26.22708356 24.05747261 22.06734069 20.24184057, 18.56735325 17.03138632 15.62248081 14.3301257 13.14498213 12.05729815, 11.05986943 10.14495208 9.30572041 8.53591339 7.82978794 7.18207606, 6.58794553 6.0429639 5.54306537 5.08452047 4.66390827 4.27809082, 3.92418976 3.59956483 3.3017942 3.02865636 2.7781136 2.54829675, 2.33749128 2.1441245 1.96675381 1.8040144 1.6548171 1.5179239, 1.39235507 1.2771738 1.17152079 1.07460783 0.9857119 0.90416981, 0.8293732 0.76074656 0.69783058 0.6401032 0.58713774 0.53857972, 0.49402622 0.45315836 0.41567126 0.38128525 0.34974378 0.32080417, 0.29427272 0.26992928 0.24759393 0.22711719 0.20832913 0.1910909, 0.17528712 0.16078665 0.14748573 0.135282 0.12409378 0.11382823]
low_nose_model=[-22.6949 -23.2293 -23.8121 -24.4472 -25.1391 -25.8335 -26.5897 -27.4145, -28.3139 -29.3584 -30.4969 -31.5202 -32.6359 -33.6686 -34.7952 -35.5128, -36.2951 -37.6301 -38.4124 -39.3138 -40.1114 -40.8093 -41.5294 -42.525, -43.1859 -44.2028 -44.9446 -44.2887 -43.3266 -42.5058 -42.2613 -41.9684, -41.7733 -41.6237 -42.3947 -44.065 -45.7882 -47.9119 -49.481 -51.2669, -52.7096 -53.8717 -54.858 -55.1533 -55.6107 -56.3441 -56.8587 -57.3245, -58.2194 -60.1248 -61.8786 -63.5796 -65.3571 -67.0753 -68.7985 -70.3552, -72.1041 -73.6559 -75.1494 -76.7333 -77.9651 -79.7564 -81.2495 -82.6931, -84.199 -85.6278 -86.9717 -88.0587 -88.5837 -90.2126 -91.1065 -91.9279, -92.482 -92.924 -93.5291 -94.0442 -96.6746 -99.195 ]
