diff --git "a/Datasets-Construction/OpenSWI-deep/1s-100s-Base/10_CSEM_Australasia.ipynb" "b/Datasets-Construction/OpenSWI-deep/1s-100s-Base/10_CSEM_Australasia.ipynb" deleted file mode 100644--- "a/Datasets-Construction/OpenSWI-deep/1s-100s-Base/10_CSEM_Australasia.ipynb" +++ /dev/null @@ -1,647 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## CSEM_Australasia\n", - "Details of the dataset:\n", - "- Name: \tCSEM_Australasia\n", - "- Title: \tAustralasian part of the Collaborative Seismic Earth Model(version 2019.12.01)\n", - "- Type:\t3-D Tomography Earth Model\n", - "- Sub Type: \tSH velocity, SV velocity\n", - "- Year\t2019\n", - "\n", - "Author(s):\t\n", - "- Andreas Fichtner\n", - " - ETH Zurich\n", - " - Zurich, Switzerland\n", - "- Erdinc Saygin\n", - " - CSIRO\n", - " - Perth, Australia\n", - "- Brian L. N. Kennett\n", - " - Australian National University\n", - " - Canberra, Australia\n", - "- Hans-Peter Bunge\n", - " - Ludwig Maximilian University\n", - " - Munich, Germany\n", - "- Heiner Igel\n", - " - Ludwig Maximilian University\n", - " - Munich, Germany\n", - "\n", - "Reference(s):\t\n", - "- Fichtner, A., Bunge, H.-P., Igel, H., 2006. The adjoint method in seismology - I. Theory. Physics of the Earth and Planetary Interiors 157, 86-104.\n", - "- Fichtner, A., Kennett, B. L. N., Igel, H., Bunge, H.-P., 2009. Full seismic waveform tomography for upper-mantle structure in the Australasian region using adjoint methods. Geophysical Journal International 179, 1703-1725.\n", - "- Fichtner, A., Kennett, B. L. N., Igel, H., Bunge, H.-P., 2010. Full waveform tomography for radially anisotropic structure: New insights into present and past states of the Australasian upper mantle. Earth and Planetary Science Letters 290, 270-280.\n", - "- Fichtner, A., van Herwaarden, D.-P., Afanasiev, M., Simute, S., Krischer, L., Cubuk-Sabuncu, Y., Taymaz, T., Colli, L., Saygin, E., Villasenor, A., Trampert, J., Cupillard, P., Bunge, H.-P., Igel, H., 2018. The Collaborative Seismic Earth Model: Generation I. Geophysical Research Letters 45, doi:10.1029/2018GL077338.\n", - "\n", - "DOI:\tdoi:10.17611/DP/18027074\n", - "\n", - "Depth Coverage:\t0.0 - 500.0 km\n", - "\n", - "Areal Coverage:\tLatitude: -50.0 to 0.0 Longitude: 100.0 to 180.0\n", - "\n", - "Model Description\t\n", - " - CSEM_Australasia (V. 2019.12.01) is the Australasian part of the Collaborative Seismic Earth Model (CSEM, Fichtner et al., 2018). It has been constructed using multi-scale full seismic waveform inversion, combining spectral-element waveform modeling and adjoint techniques, as described in Fichtner et al. (2006, 2009). This submodel has been extracted from the variable-parameterisation CSEM onto a regular grid, readable by EMC tools. While having regional contributions from various sub-inversions, the structure in this model is dominated by the Australasian full-waveform inversion described in Fichtner et al. (2010).\n", - "\n", - "Data Set Description\t\n", - " - Since the datasets included in the CSEM are too heterogeneous for a brief description, please see Fichtner et al. (2018) for details.\n", - "\n", - "Web Page\n", - "- [cos.ethz.ch/research/CSEM.html](https://ds.iris.edu/spud/earthmodel/18027074)\n", - "\n", - "EMC Page\n", - "- [ds.iris.edu/ds/products/emc-csem_australasia/](http://ds.iris.edu/ds/products/emc-csem_australasia)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Step0: Downloading & Loading the Source Datasets" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "KeysView(\n", - "Dimensions: (depth: 51, latitude: 51, longitude: 81)\n", - "Coordinates:\n", - " * depth (depth) float32 0.0 10.0 20.0 30.0 ... 470.0 480.0 490.0 500.0\n", - " * latitude (latitude) float32 -50.0 -49.0 -48.0 -47.0 ... -3.0 -2.0 -1.0 0.0\n", - " * longitude (longitude) float32 100.0 101.0 102.0 103.0 ... 178.0 179.0 180.0\n", - "Data variables:\n", - " vsv (depth, latitude, longitude) float32 ...\n", - " vsh (depth, latitude, longitude) float32 ...\n", - "Attributes: (12/27)\n", - " title: Collaborative Seismic Earth Model (CSEM) -...\n", - " id: csem_australasia\n", - " reference: Fichtner et al., GRL (2018); Fichtner et a...\n", - " references: https://cos.ethz.ch/research/CSEM.html\n", - " summary: CSEM extraction of Australasia\n", - " keywords: Collaborative Seismic Earth Model, multi-s...\n", - " ... ...\n", - " geospatial_lon_units: degrees\n", - " geospatial_lon_resolution: 1.0\n", - " geospatial_vertical_min: 0.0\n", - " geospatial_vertical_max: 500.0\n", - " geospatial_vertical_units: km\n", - " geospatial_vertical_positive: down)\n" - ] - } - ], - "source": [ - "import xarray as xr\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "\n", - "data_path = \"../../../Datasets/Original/OpenSWI-deep/csem-australasia-2019.12.01.nc\"\n", - "\n", - "# load the .nc file\n", - "data = xr.open_dataset(data_path)\n", - "\n", - "# print the keys of the dataset\n", - "print(data.keys())" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Step 1: Velocity Profile Extracting\n", - "1. Extracting\n", - "2. De-duplicating" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(51,) (81,) (51,) (51, 51, 81) (51, 51, 81)\n" - ] - } - ], - "source": [ - "latitude = np.array(data['latitude'].values)\n", - "longitude = np.array(data['longitude'].values)\n", - "depth = np.array(data['depth'].values)\n", - "vsv = np.array(data['vsv'].values)\n", - "vsh = np.array(data['vsh'].values)\n", - "\n", - "LON,LAT = np.meshgrid(longitude,latitude)\n", - "\n", - "\n", - "# print the shape of the dataset\n", - "print(latitude.shape,longitude.shape,depth.shape,vsv.shape,vsh.shape)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# average the vsv and vsh\n", - "vs = np.sqrt(vsv*vsh)\n", - "\n", - "\n", - "# plot the vs\n", - "fig,axs = plt.subplots(1,3,figsize=(12,4))\n", - "axs[0].pcolormesh(LON,LAT,vsv[4,:,:],cmap='seismic')\n", - "axs[0].set_title('vs')\n", - "axs[0].set_xlabel('longitude')\n", - "axs[0].set_ylabel('latitude')\n", - "axs[1].pcolormesh(LON,LAT,vsh[4,:,:],cmap='seismic')\n", - "axs[1].set_title('vsh')\n", - "axs[1].set_xlabel('longitude')\n", - "axs[1].set_ylabel('latitude')\n", - "axs[2].pcolormesh(LON,LAT,vs[4,:,:],cmap='seismic')\n", - "axs[2].set_title('vs')\n", - "axs[2].set_xlabel('longitude')\n", - "axs[2].set_ylabel('latitude')\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# single station comparsion\n", - "fig,axs = plt.subplots(1,3,figsize=(12,4))\n", - "axs[0].step(vsv[:,0,0],depth)\n", - "axs[0].set_title('vsv')\n", - "axs[0].set_xlabel('vsv')\n", - "axs[0].invert_yaxis()\n", - "axs[1].step(vsh[:,0,0],depth)\n", - "axs[1].set_title('vsh')\n", - "axs[1].set_xlabel('vsh')\n", - "axs[1].invert_yaxis()\n", - "axs[2].step(vs[:,0,0],depth)\n", - "axs[2].set_title('vs')\n", - "axs[2].set_xlabel('vs')\n", - "axs[2].invert_yaxis()\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Step 2: Quality Control & Interpolation\n", - "\n", - "1. interpolation\n", - "\n", - "2. rationalizing (remove the thin layers)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../../')\n", - "from SWIDP.process_1d_deep import *\n", - "from SWIDP.dispersion import *" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(4131, 51)" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "vs = vs.reshape(vs.shape[0],-1).T\n", - "vs.shape" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(4131, 301)" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# -------------------------------------------------------\n", - "# interp to 1 km thickness\n", - "# -------------------------------------------------------\n", - "\n", - "from scipy.interpolate import interp1d\n", - "max_depth = 300+0.1\n", - "depth_interp = np.concatenate([\n", - " np.arange(0, max_depth, 1)\n", - "])\n", - "vs_models = vs_interp = np.zeros((vs.shape[0],depth_interp.shape[0]))\n", - "for i in range(vs.shape[0]):\n", - " vs_temp = vs[i,:]\n", - " depth_interp_temp = depth_interp[:np.argmin(np.abs(depth_interp-depth.max()))]\n", - " f = interp1d(depth.reshape(-1),vs_temp,kind='nearest')\n", - " vs_temp = f(depth_interp_temp)\n", - " vs_interp[i,:len(vs_temp)] = vs_temp\n", - "vs_interp[:,len(vs_temp):] = vs_interp[:,len(vs_temp)-1].reshape(-1,1)\n", - "vs_interp.shape" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "nrows = 5\n", - "ncols = 5\n", - "fig,axs = plt.subplots(nrows,ncols,figsize=(10,10))\n", - "for i in range(nrows):\n", - " for j in range(ncols):\n", - " sta_idx = np.random.randint(0,len(vs))\n", - " axs[i,j].step(vs[sta_idx,:],depth,c='k')\n", - " axs[i,j].step(vs_interp[sta_idx,:],depth_interp,c='r')\n", - " axs[i,j].invert_yaxis()\n", - " axs[i,j].set_title(f'sta_idx: {sta_idx}')\n", - " if j == 0:\n", - " axs[i,j].set_ylabel('Depth (km)')\n", - " else:\n", - " axs[i,j].tick_params(labelleft=False)\n", - " if i == nrows-1:\n", - " axs[i,j].set_xlabel('Vs (km/s)')\n", - " else:\n", - " axs[i,j].tick_params(labelbottom=False)\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "afcdad14a7da4a1f9cd40f405828978b", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - " 0%| | 0/4131 [00:00" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "nrows = 5\n", - "ncols = 5\n", - "fig,axs = plt.subplots(nrows,ncols,figsize=(10,10))\n", - "for i in range(nrows):\n", - " for j in range(ncols):\n", - " sta_idx = np.random.randint(0,len(vs))\n", - " axs[i,j].step(vs_interp[sta_idx,:],depth_interp,c='k')\n", - " axs[i,j].step(vs_interp_rm_sandwich[sta_idx,:],depth_interp,c='r')\n", - " axs[i,j].invert_yaxis()\n", - " axs[i,j].set_title(f'sta_idx: {sta_idx}')\n", - " if j == 0:\n", - " axs[i,j].set_ylabel('Depth (km)')\n", - " else:\n", - " axs[i,j].tick_params(labelleft=False)\n", - " if i == nrows-1:\n", - " axs[i,j].set_xlabel('Vs (km/s)')\n", - " else:\n", - " axs[i,j].tick_params(labelbottom=False)\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Step 3: Dispersion Curve Forward Modeling" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "781190e622cd4fc7a7fa605c02b5524d", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - " 0%| | 0/4131 [00:00" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "nrows = 10\n", - "ncols = 10\n", - "fig,axs = plt.subplots(nrows,ncols,figsize=(10,10))\n", - "\n", - "for i in range(nrows):\n", - " for j in range(ncols//2):\n", - "\n", - " sta_idx = np.random.randint(0,vel_models.shape[0])\n", - "\n", - " # velocity profile\n", - " axs[i,j*2].step(vel_models[sta_idx][:,2],vel_models[sta_idx][:,0],c='k')\n", - " axs[i,j*2].set_xticks([])\n", - " axs[i,j*2].set_yticks([])\n", - " axs[i,j*2].invert_yaxis()\n", - "\n", - " # dispersion curve\n", - " axs[i,j*2+1].scatter(disp_data[sta_idx][:,0],disp_data[sta_idx][:,1],s=2,c='r')\n", - " axs[i,j*2+1].scatter(disp_data[sta_idx][:,0],disp_data[sta_idx][:,2],s=2,c='b')\n", - " axs[i,j*2+1].set_xticks([])\n", - " axs[i,j*2+1].set_yticks([])\n", - "plt.subplots_adjust(wspace=0.05,hspace=0.05)\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [], - "source": [ - "phase_mask = np.sum(disp_data[:,:,1] == 0,axis=1)==0\n", - "group_mask = np.sum(disp_data[:,:,2] == 0,axis=1)==0\n", - "mask = phase_mask*group_mask\n", - "\n", - "loc = np.hstack((LON.reshape(-1,1),LAT.reshape(-1,1)))[mask,:]\n", - "vel_models = vel_models[mask,:,:]\n", - "disp_data = disp_data[mask,:,:]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import os\n", - "save_base_path = \"../../../Datasets/OpenSWI-deep/1s-100s-Base\"\n", - "# Save processed data as compressed npz files\n", - "np.savez_compressed(os.path.join(save_base_path, \"CSEM_Australasia_loc.npz\"),\n", - " data=loc.astype(np.float32))\n", - "np.savez_compressed(os.path.join(save_base_path, \"CSEM_Australasia_model.npz\"),\n", - " data=vel_models.astype(np.float32))\n", - "np.savez_compressed(os.path.join(save_base_path, \"CSEM_Australasia_disp.npz\"),\n", - " data=disp_data.astype(np.float32))" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(array([68., 32., 29., 25., 25., 21., 27., 25., 21., 27.]),\n", - " array([ 1. , 10.9, 20.8, 30.7, 40.6, 50.5, 60.4, 70.3, 80.2,\n", - " 90.1, 100. ]),\n", - " )" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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