{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Running Parameterized FCNNs" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now that we have taken time to explore and understand FCNNs, we will now run a parameterization of our own." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "# Import required modules\n", "import numpy as np\n", "import xarray as xr\n", "import matplotlib.pyplot as plt\n", "import pyqg\n", "import json\n", "import fsspec\n", "from pyqg_parameterization_benchmarks.neural_networks import FCNNParameterization, FullyCNN\n", "\n", "%matplotlib inline" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Below we are loading a sample dataset, as training data for our parameterization, of a high-resolution simulation in the eddy configuration started from random noise and run over a span of 10 simulation years that has been coarsened using Operator 2 (a spectral truncation + softer Gaussian filter). " ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
<xarray.Dataset>\n",
       "Dimensions:            (time: 87, lev: 2, y: 64, x: 64, l: 64, k: 33, lev_mid: 1)\n",
       "Coordinates:\n",
       "  * k                  (k) float64 0.0 6.283e-06 ... 0.0001948 0.0002011\n",
       "  * l                  (l) float64 0.0 6.283e-06 ... -1.257e-05 -6.283e-06\n",
       "  * lev                (lev) int64 1 2\n",
       "  * lev_mid            (lev_mid) float64 1.5\n",
       "  * time               (time) float64 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0\n",
       "  * x                  (x) float64 7.812e+03 2.344e+04 ... 9.766e+05 9.922e+05\n",
       "  * y                  (y) float64 7.812e+03 2.344e+04 ... 9.766e+05 9.922e+05\n",
       "Data variables: (12/23)\n",
       "    Qy                 (time, lev) float64 1.039e-10 -7.222e-12 ... -7.222e-12\n",
       "    Ubg                (time, lev) float64 0.025 0.0 0.025 0.0 ... 0.0 0.025 0.0\n",
       "    dqdt               (time, lev, y, x) float64 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0\n",
       "    dqhdt              (time, lev, l, k) complex128 0j 0j 0j 0j ... 0j 0j 0j 0j\n",
       "    p                  (time, lev, y, x) float64 -39.07 -62.7 ... -77.82 33.89\n",
       "    ph                 (time, lev, l, k) complex128 0j ... (11.85916120645425...\n",
       "    ...                 ...\n",
       "    v                  (time, lev, y, x) float64 -0.001415 ... 0.006776\n",
       "    v_subgrid_forcing  (time, lev, y, x) float64 2.498e-13 ... 8.655e-11\n",
       "    vfull              (time, lev, y, x) float64 -0.001415 ... 0.006776\n",
       "    vh                 (time, lev, l, k) complex128 0j ... 0.007440851489267999j\n",
       "    vq_subgrid_flux    (time, lev, y, x) float64 -2.542e-12 ... 1.934e-10\n",
       "    vv_subgrid_flux    (time, lev, y, x) float64 3.388e-07 ... 1.838e-06\n",
       "Attributes: (12/23)\n",
       "    pyqg:L:          1000000.0\n",
       "    pyqg:M:          4096\n",
       "    pyqg:W:          1000000.0\n",
       "    pyqg:beta:       1.5e-11\n",
       "    pyqg:del2:       0.8\n",
       "    pyqg:delta:      0.25\n",
       "    ...              ...\n",
       "    pyqg:tavestart:  315360000.0\n",
       "    pyqg:tc:         0\n",
       "    pyqg:tmax:       1576800000.0\n",
       "    pyqg:twrite:     1000.0\n",
       "    reference:       https://pyqg.readthedocs.io/en/latest/index.html\n",
       "    title:           pyqg: Python Quasigeostrophic Model
" ], "text/plain": [ "\n", "Dimensions: (time: 87, lev: 2, y: 64, x: 64, l: 64, k: 33, lev_mid: 1)\n", "Coordinates:\n", " * k (k) float64 0.0 6.283e-06 ... 0.0001948 0.0002011\n", " * l (l) float64 0.0 6.283e-06 ... -1.257e-05 -6.283e-06\n", " * lev (lev) int64 1 2\n", " * lev_mid (lev_mid) float64 1.5\n", " * time (time) float64 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0\n", " * x (x) float64 7.812e+03 2.344e+04 ... 9.766e+05 9.922e+05\n", " * y (y) float64 7.812e+03 2.344e+04 ... 9.766e+05 9.922e+05\n", "Data variables: (12/23)\n", " Qy (time, lev) float64 1.039e-10 -7.222e-12 ... -7.222e-12\n", " Ubg (time, lev) float64 0.025 0.0 0.025 0.0 ... 0.0 0.025 0.0\n", " dqdt (time, lev, y, x) float64 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0\n", " dqhdt (time, lev, l, k) complex128 0j 0j 0j 0j ... 0j 0j 0j 0j\n", " p (time, lev, y, x) float64 -39.07 -62.7 ... -77.82 33.89\n", " ph (time, lev, l, k) complex128 0j ... (11.85916120645425...\n", " ... ...\n", " v (time, lev, y, x) float64 -0.001415 ... 0.006776\n", " v_subgrid_forcing (time, lev, y, x) float64 2.498e-13 ... 8.655e-11\n", " vfull (time, lev, y, x) float64 -0.001415 ... 0.006776\n", " vh (time, lev, l, k) complex128 0j ... 0.007440851489267999j\n", " vq_subgrid_flux (time, lev, y, x) float64 -2.542e-12 ... 1.934e-10\n", " vv_subgrid_flux (time, lev, y, x) float64 3.388e-07 ... 1.838e-06\n", "Attributes: (12/23)\n", " pyqg:L: 1000000.0\n", " pyqg:M: 4096\n", " pyqg:W: 1000000.0\n", " pyqg:beta: 1.5e-11\n", " pyqg:del2: 0.8\n", " pyqg:delta: 0.25\n", " ... ...\n", " pyqg:tavestart: 315360000.0\n", " pyqg:tc: 0\n", " pyqg:tmax: 1576800000.0\n", " pyqg:twrite: 1000.0\n", " reference: https://pyqg.readthedocs.io/en/latest/index.html\n", " title: pyqg: Python Quasigeostrophic Model" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "training_ds = xr.open_zarr('/home/jovyan/datasets/eddy/op2/ds1').load()\n", "training_ds" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The parameterization we are using for this example is an FCNN trained on the values of PV and velocity to estimate PV subgrid forcing computed with Operator 2." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "param = FCNNParameterization.train_on(training_ds, '/home/jovyan/models/fcnn_qu_to_Sq2', \n", " inputs=['q', 'u', 'v'], \n", " targets = ['q_subgrid_forcing']) " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now that we have a trained parameterization we can begin testing it. We call `test_offline()` on the parameterization instance to begin evaluating the parameterization on an offline dataset." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "# Helpers methods to help visualize offline metrics/performance\n", "def imshow(arr):\n", " plt.imshow(arr, vmin=0, vmax=1, cmap='inferno')\n", " mean = arr.mean().data\n", " plt.text(32, 32, f\"{mean:.2f}\", color=('white' if mean<0.75 else 'black'),\n", " fontweight='bold', ha='center', va='center', fontsize=16)\n", " plt.xticks([]); plt.yticks([])\n", " \n", "def colorbar(label):\n", " plt.colorbar().set_label(label, fontsize=16,rotation=0,ha='left',va='center')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Upon calling `test_offline()`, an `xarray.Dataset` object describing the predictions made by the parameterization is returned. Included within this dataset are a number of computed metrics." ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n" ] }, { "data": { "text/html": [ "
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
<xarray.Dataset>\n",
       "Dimensions:                                 (time: 87, lev: 2, y: 64, x: 64)\n",
       "Coordinates:\n",
       "  * lev                                     (lev) int64 1 2\n",
       "  * time                                    (time) float64 0.0 0.0 ... 0.0 0.0\n",
       "  * x                                       (x) float64 7.812e+03 ... 9.922e+05\n",
       "  * y                                       (y) float64 7.812e+03 ... 9.922e+05\n",
       "Data variables: (12/14)\n",
       "    q_subgrid_forcing                       (time, lev, y, x) float64 5.552e-...\n",
       "    q_subgrid_forcing_predictions           (time, lev, y, x) float64 -6.531e...\n",
       "    q_subgrid_forcing_spatial_mse           (lev, y, x) float64 1.242e-23 ......\n",
       "    q_subgrid_forcing_temporal_mse          (time, lev) float64 2.242e-27 ......\n",
       "    q_subgrid_forcing_mse                   (lev) float64 9.821e-24 1.093e-27\n",
       "    q_subgrid_forcing_spatial_skill         (lev, y, x) float64 0.0204 ... 0....\n",
       "    ...                                      ...\n",
       "    q_subgrid_forcing_spatial_correlation   (lev, y, x) float64 0.1719 ... 0....\n",
       "    q_subgrid_forcing_temporal_correlation  (time, lev) float64 0.004937 ... ...\n",
       "    q_subgrid_forcing_correlation           (lev) float64 0.5452 0.8939\n",
       "    correlation                             (lev) float64 0.5452 0.8939\n",
       "    mse                                     (lev) float64 9.821e-24 1.093e-27\n",
       "    skill                                   (lev) float64 0.2967 0.7989\n",
       "Attributes: (12/23)\n",
       "    pyqg:L:          1000000.0\n",
       "    pyqg:M:          4096\n",
       "    pyqg:W:          1000000.0\n",
       "    pyqg:beta:       1.5e-11\n",
       "    pyqg:del2:       0.8\n",
       "    pyqg:delta:      0.25\n",
       "    ...              ...\n",
       "    pyqg:tavestart:  315360000.0\n",
       "    pyqg:tc:         0\n",
       "    pyqg:tmax:       1576800000.0\n",
       "    pyqg:twrite:     1000.0\n",
       "    reference:       https://pyqg.readthedocs.io/en/latest/index.html\n",
       "    title:           pyqg: Python Quasigeostrophic Model
" ], "text/plain": [ "\n", "Dimensions: (time: 87, lev: 2, y: 64, x: 64)\n", "Coordinates:\n", " * lev (lev) int64 1 2\n", " * time (time) float64 0.0 0.0 ... 0.0 0.0\n", " * x (x) float64 7.812e+03 ... 9.922e+05\n", " * y (y) float64 7.812e+03 ... 9.922e+05\n", "Data variables: (12/14)\n", " q_subgrid_forcing (time, lev, y, x) float64 5.552e-...\n", " q_subgrid_forcing_predictions (time, lev, y, x) float64 -6.531e...\n", " q_subgrid_forcing_spatial_mse (lev, y, x) float64 1.242e-23 ......\n", " q_subgrid_forcing_temporal_mse (time, lev) float64 2.242e-27 ......\n", " q_subgrid_forcing_mse (lev) float64 9.821e-24 1.093e-27\n", " q_subgrid_forcing_spatial_skill (lev, y, x) float64 0.0204 ... 0....\n", " ... ...\n", " q_subgrid_forcing_spatial_correlation (lev, y, x) float64 0.1719 ... 0....\n", " q_subgrid_forcing_temporal_correlation (time, lev) float64 0.004937 ... ...\n", " q_subgrid_forcing_correlation (lev) float64 0.5452 0.8939\n", " correlation (lev) float64 0.5452 0.8939\n", " mse (lev) float64 9.821e-24 1.093e-27\n", " skill (lev) float64 0.2967 0.7989\n", "Attributes: (12/23)\n", " pyqg:L: 1000000.0\n", " pyqg:M: 4096\n", " pyqg:W: 1000000.0\n", " pyqg:beta: 1.5e-11\n", " pyqg:del2: 0.8\n", " pyqg:delta: 0.25\n", " ... ...\n", " pyqg:tavestart: 315360000.0\n", " pyqg:tc: 0\n", " pyqg:tmax: 1576800000.0\n", " pyqg:twrite: 1000.0\n", " reference: https://pyqg.readthedocs.io/en/latest/index.html\n", " title: pyqg: Python Quasigeostrophic Model" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "test_ds = xr.open_zarr('/home/jovyan/datasets/eddy/op2/ds2').load()\n", "preds1 = param.test_offline(test_ds)\n", "preds1" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(7.6,6)).suptitle(\"Offline performance\")\n", "\n", "for z in [0,1]:\n", " plt.subplot(2,2,z+1,title=f\"{['Upper','Lower'][z]} layer\")\n", " imshow(preds1.q_subgrid_forcing_spatial_correlation.isel(lev=z))\n", " if z: colorbar(\"Correlation\")\n", " \n", "for z in [0,1]:\n", " plt.subplot(2,2,z+3)\n", " imshow(preds1.q_subgrid_forcing_spatial_skill.isel(lev=z))\n", " if z: colorbar(\"$R^2$\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can improve these offline metrics by training our FCNN on more datasets. Below, we feed another dataset into each model, extract the input and target features from the dataset, and standardize by calling `fit()` which also then initiates a training session on the inputs and targets." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "training_ds2 = xr.open_zarr('/home/jovyan/datasets/eddy/op2/ds3').load()\n", "for m in param.models:\n", " new_inputs = m.extract_inputs(training_ds2)\n", " new_targets = m.extract_targets(training_ds2)\n", " m.fit(new_inputs, new_targets, rescale=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We then run predictions again with the same, initial test dataset on the parameterization after its been trained on another dataset." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n" ] }, { "data": { "text/html": [ "
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
<xarray.Dataset>\n",
       "Dimensions:                                 (time: 87, lev: 2, y: 64, x: 64)\n",
       "Coordinates:\n",
       "  * lev                                     (lev) int64 1 2\n",
       "  * time                                    (time) float64 0.0 0.0 ... 0.0 0.0\n",
       "  * x                                       (x) float64 7.812e+03 ... 9.922e+05\n",
       "  * y                                       (y) float64 7.812e+03 ... 9.922e+05\n",
       "Data variables: (12/14)\n",
       "    q_subgrid_forcing                       (time, lev, y, x) float64 5.552e-...\n",
       "    q_subgrid_forcing_predictions           (time, lev, y, x) float64 -6.373e...\n",
       "    q_subgrid_forcing_spatial_mse           (lev, y, x) float64 7.614e-24 ......\n",
       "    q_subgrid_forcing_temporal_mse          (time, lev) float64 3.353e-27 ......\n",
       "    q_subgrid_forcing_mse                   (lev) float64 4.449e-24 8.302e-28\n",
       "    q_subgrid_forcing_spatial_skill         (lev, y, x) float64 0.3996 ... 0.536\n",
       "    ...                                      ...\n",
       "    q_subgrid_forcing_spatial_correlation   (lev, y, x) float64 0.7024 ... 0....\n",
       "    q_subgrid_forcing_temporal_correlation  (time, lev) float64 -0.006284 ......\n",
       "    q_subgrid_forcing_correlation           (lev) float64 0.8257 0.9204\n",
       "    correlation                             (lev) float64 0.8257 0.9204\n",
       "    mse                                     (lev) float64 4.449e-24 8.302e-28\n",
       "    skill                                   (lev) float64 0.6814 0.8472\n",
       "Attributes: (12/23)\n",
       "    pyqg:L:          1000000.0\n",
       "    pyqg:M:          4096\n",
       "    pyqg:W:          1000000.0\n",
       "    pyqg:beta:       1.5e-11\n",
       "    pyqg:del2:       0.8\n",
       "    pyqg:delta:      0.25\n",
       "    ...              ...\n",
       "    pyqg:tavestart:  315360000.0\n",
       "    pyqg:tc:         0\n",
       "    pyqg:tmax:       1576800000.0\n",
       "    pyqg:twrite:     1000.0\n",
       "    reference:       https://pyqg.readthedocs.io/en/latest/index.html\n",
       "    title:           pyqg: Python Quasigeostrophic Model
" ], "text/plain": [ "\n", "Dimensions: (time: 87, lev: 2, y: 64, x: 64)\n", "Coordinates:\n", " * lev (lev) int64 1 2\n", " * time (time) float64 0.0 0.0 ... 0.0 0.0\n", " * x (x) float64 7.812e+03 ... 9.922e+05\n", " * y (y) float64 7.812e+03 ... 9.922e+05\n", "Data variables: (12/14)\n", " q_subgrid_forcing (time, lev, y, x) float64 5.552e-...\n", " q_subgrid_forcing_predictions (time, lev, y, x) float64 -6.373e...\n", " q_subgrid_forcing_spatial_mse (lev, y, x) float64 7.614e-24 ......\n", " q_subgrid_forcing_temporal_mse (time, lev) float64 3.353e-27 ......\n", " q_subgrid_forcing_mse (lev) float64 4.449e-24 8.302e-28\n", " q_subgrid_forcing_spatial_skill (lev, y, x) float64 0.3996 ... 0.536\n", " ... ...\n", " q_subgrid_forcing_spatial_correlation (lev, y, x) float64 0.7024 ... 0....\n", " q_subgrid_forcing_temporal_correlation (time, lev) float64 -0.006284 ......\n", " q_subgrid_forcing_correlation (lev) float64 0.8257 0.9204\n", " correlation (lev) float64 0.8257 0.9204\n", " mse (lev) float64 4.449e-24 8.302e-28\n", " skill (lev) float64 0.6814 0.8472\n", "Attributes: (12/23)\n", " pyqg:L: 1000000.0\n", " pyqg:M: 4096\n", " pyqg:W: 1000000.0\n", " pyqg:beta: 1.5e-11\n", " pyqg:del2: 0.8\n", " pyqg:delta: 0.25\n", " ... ...\n", " pyqg:tavestart: 315360000.0\n", " pyqg:tc: 0\n", " pyqg:tmax: 1576800000.0\n", " pyqg:twrite: 1000.0\n", " reference: https://pyqg.readthedocs.io/en/latest/index.html\n", " title: pyqg: Python Quasigeostrophic Model" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "preds2 = param.test_offline(test_ds)\n", "preds2" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(7.6,6)).suptitle(\"Offline performance\")\n", "\n", "for z in [0,1]:\n", " plt.subplot(2,2,z+1,title=f\"{['Upper','Lower'][z]} layer\")\n", " imshow(preds2.q_subgrid_forcing_spatial_correlation.isel(lev=z))\n", " if z: colorbar(\"Correlation\")\n", " \n", "for z in [0,1]:\n", " plt.subplot(2,2,z+3)\n", " imshow(preds2.q_subgrid_forcing_spatial_skill.isel(lev=z))\n", " if z: colorbar(\"$R^2$\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As shown, our computed metrics improved with additional training. We then save our newly trained models to the model directory path for our parameterization in order to keep the updated trained state of the models." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "param.models[0].save('/home/jovyan/models/fcnn_qu_to_Sq2/models/0')\n", "param.models[1].save('/home/jovyan/models/fcnn_qu_to_Sq2/models/1')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can then reload the FCNN parameterization in future use cases by instantiating a new `FCNNParameterization` instance and passing in the directory path at which the parameterization is saved, as follows:" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "param = FCNNParameterization('/home/jovyan/models/fcnn_qu_to_Sq2')" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.9" } }, "nbformat": 4, "nbformat_minor": 4 }