{ "cells": [ { "cell_type": "markdown", "id": "4af04318-6cd5-49f3-bd41-ca7f0a1b1fd7", "metadata": {}, "source": [ "# CESM2 LENS with Tracking + Measures #\n", "This tutorial demonstrates how to use Ocetrac for:\n", "* Identifying and tracking spatial-temporal objects in climate data (one ensemble member of CESM2 LENS)\n", "* Calculates characteristics of detected objects" ] }, { "cell_type": "markdown", "id": "11f25411", "metadata": {}, "source": [ "First import the necessary libraries and modules:" ] }, { "cell_type": "code", "execution_count": 1, "id": "2de0856b-3561-4148-a1f6-39c17d1ac864", "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import xarray as xr\n", "\n", "import cmocean\n", "import cartopy\n", "import cartopy.crs as ccrs\n", "import cartopy.feature as cfeature\n", "from cartopy.mpl.ticker import LongitudeFormatter,LatitudeFormatter\n", "from cartopy.util import add_cyclic_point\n", "import matplotlib.pyplot as plt\n", "import matplotlib.patches as mpatches\n", "from matplotlib.patches import Rectangle\n", "import matplotlib.dates as mdates" ] }, { "cell_type": "code", "execution_count": 2, "id": "071f6802-3e42-497f-9a51-ee9f0b5ab146", "metadata": {}, "outputs": [], "source": [ "import ocetrac\n", "\n", "from utils import cesm2_lens_utils\n", "from utils import cesm_anomalies\n", "from measures.shape_measures import ShapeMeasures\n", "from measures.motion_measures import MotionMeasures\n", "from measures.temporal_measures import get_initial_detection_time, get_duration\n", "from measures.intensity_measures import calculate_intensity_metrics\n", "from measures.plotting import plot_displacement\n", "from measures.measures_utils import convert_lon, get_object_masks, run_shape_measures, run_motion_measures, run_temporal_measures, run_intensity_measures, process_objects_and_calculate_measures" ] }, { "cell_type": "markdown", "id": "790987b3-1512-4742-b3f1-3beda3cd0531", "metadata": {}, "source": [ "### Input specifications and preprocessing" ] }, { "cell_type": "code", "execution_count": 3, "id": "144f6512-b03a-4c02-aafb-37769e6c293c", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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<xarray.DataArray 'SST' (time: 1980, lat: 192, lon: 288)> Size: 438MB\n",
       "dask.array<concatenate, shape=(1980, 192, 288), dtype=float32, chunksize=(1, 192, 288), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * lat      (lat) float64 2kB -90.0 -89.06 -88.12 -87.17 ... 88.12 89.06 90.0\n",
       "  * lon      (lon) float64 2kB 0.0 1.25 2.5 3.75 5.0 ... 355.0 356.2 357.5 358.8\n",
       "  * time     (time) object 16kB 1850-02-01 00:00:00 ... 2015-01-01 00:00:00\n",
       "Attributes:\n",
       "    units:         K\n",
       "    long_name:     sea surface temperature\n",
       "    cell_methods:  time: mean
" ], "text/plain": [ " Size: 438MB\n", "dask.array\n", "Coordinates:\n", " * lat (lat) float64 2kB -90.0 -89.06 -88.12 -87.17 ... 88.12 89.06 90.0\n", " * lon (lon) float64 2kB 0.0 1.25 2.5 3.75 5.0 ... 355.0 356.2 357.5 358.8\n", " * time (time) object 16kB 1850-02-01 00:00:00 ... 2015-01-01 00:00:00\n", "Attributes:\n", " units: K\n", " long_name: sea surface temperature\n", " cell_methods: time: mean" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Define variable name and component\n", "var = 'SST' # Variable of interest (Sea Surface Temperature)\n", "comp = 'atm' # Model component (atmosphere)\n", "\n", "# Construct directory path using f-string\n", "directory = f'/glade/campaign/cgd/cesm/CESM2-LE/{comp}/proc/tseries/month_1/{var}/'\n", "\n", "# Ensemble member index (0 = first member)\n", "ens_memb_index = 0\n", "\n", "# Load historical and future datasets using utility function\n", "ds_var_hist_var, ds_var_fut_var = cesm2_lens_utils.get_ds_var(\n", " directory,\n", " var,\n", " comp,\n", " ens_memb_index)\n", "\n", "# Compute variable data (load into memory) and mask land points\n", "var_ds = ds_var_hist_var[var].compute()\n", "# Replace 0s with NaN (land masking)\n", "var_ds_noland = var_ds.where(var_ds != 0, np.nan)\n", "\n", "ds_var_hist_var[var]" ] }, { "cell_type": "code", "execution_count": 4, "id": "339fda41-c2fd-4651-bf0b-fa169df3b9e0", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/glade/u/home/cassiacai/.conda/envs/test_ocetrac/lib/python3.9/site-packages/numpy/lib/nanfunctions.py:1563: RuntimeWarning: All-NaN slice encountered\n", " return function_base._ureduce(a,\n" ] } ], "source": [ "# Decompose into mean, trend, seasonal cycle, and residuals\n", "# For this example, we will only look at the years 1979 to 2015.\n", "# Looking at the 90th_percentile threshold\n", "mean, trend, seas, features_notrend, var_notrend = cesm_anomalies.calculate_anomalies_trend_features(\n", " ds=var_ds_noland.sel(time=slice('1979-01','2014-12')),\n", " threshold_perc=0.9)\n", "\n", "# Thresholded anomaly fields\n", "full_mask_land = features_notrend\n", "\n", "# Mask out zeros (likely land/ice) by setting them to NaN\n", "full_masked = full_mask_land.where(full_mask_land != 0)\n", "\n", "# Binary mask: True = valid ocean data, False = NaN (land/invalid)\n", "binary_out_afterlandmask=np.isfinite(full_masked)\n", "# Secondary mask based on mean field (e.g., climatology or time-mean)\n", "newmask = np.isfinite(mean)\n", "\n", "# Force evaluation if using lazy arrays (Dask)\n", "binary_out_afterlandmask = binary_out_afterlandmask.compute()\n", "newmask = newmask.compute()" ] }, { "cell_type": "markdown", "id": "bc66ea49-5d91-4fce-8cc9-db680d27e3d7", "metadata": {}, "source": [ "### Tracking" ] }, { "cell_type": "code", "execution_count": 5, "id": "d423c00e-fb72-4a4b-a403-61b0875d5556", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "minimum area: 311.0\n", "initial objects identified \t 5150\n", "final objects tracked \t 386\n" ] } ], "source": [ "obj_Tracker = ocetrac.Tracker(\n", " binary_out_afterlandmask,\n", " newmask,\n", " radius=3, #user-defined parameter\n", " min_size_quartile= 0.75, #user-defined parameter\n", " timedim = 'time',\n", " xdim = 'lon',\n", " ydim='lat',\n", " positive=True)\n", "\n", "blobs = obj_Tracker.track()\n", "mo = obj_Tracker._morphological_operations()" ] }, { "cell_type": "markdown", "id": "b3bb5b6d-d282-4e2b-82d7-64b498347816", "metadata": {}, "source": [ "### Measures" ] }, { "cell_type": "markdown", "id": "97c57ab1-efc4-4f28-b253-86b4d040bff6", "metadata": {}, "source": [ "For this example, we can select an ID that has a footprint at some point over its lifetime in the Pacific Ocean:" ] }, { "cell_type": "code", "execution_count": 6, "id": "31a03ffa-59e6-48ab-bc7e-a0b079459c36", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[ 4. 8. 11. 16. 18. 24. 27. 28. 35. 38. 59. 62. 63. 71.\n", " 82. 84. 85. 88. 105. 111. 121. 124. 128. 130. 131. 137. 145. 149.\n", " 153. 154. 168. 174. 175. 177. 178. 194. 201. 207. 208. 212. 217. 221.\n", " 225. 226. 227. 231. 232. 235. 240. 253. 254. 258. 259. 260. 262. 267.\n", " 272. 275. 281. 282. 283. 289. 292. 293. 294. 301. 304. 305. 308. 312.\n", " 313. 314. 318. 325. 327. 330. 332. 337. 339. 346. 350. 369. 378. 379.\n", " 381. 382.]\n" ] } ], "source": [ "# Defining our region (Pacific Ocean)\n", "upper_lat = 65\n", "lower_lat = 5\n", "left_lon = 150\n", "right_lon = 250\n", "\n", "anomalies_NP = var_notrend.sel(lon=slice(left_lon, right_lon),\n", " lat=slice(lower_lat,upper_lat))\n", "mhw_objs_NP = blobs.sel(lon=slice(left_lon, right_lon),\n", " lat=slice(lower_lat,upper_lat))\n", "print(np.unique(mhw_objs_NP.data)[:-1])" ] }, { "cell_type": "markdown", "id": "11ffc57c-7447-43c6-9bb1-2dfbdd27fd27", "metadata": {}, "source": [ "#### 3.1 One event" ] }, { "cell_type": "code", "execution_count": 63, "id": "e426eaa5-16bf-4990-97df-3da74d78cd5c", "metadata": {}, "outputs": [], "source": [ "event_binary, event_intensity = get_object_masks(blobs, var_notrend, object_id=226.)" ] }, { "cell_type": "code", "execution_count": 64, "id": "a1782b5d-6292-4674-a1f9-755a06d94177", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/glade/derecho/scratch/cassiacai/tmp/ipykernel_106795/3397323041.py:30: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n", " plt.tight_layout()\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, axes = plt.subplots(5, 1, figsize=(4, 8), \n", " subplot_kw={'projection': ccrs.PlateCarree(central_longitude=180)})\n", "axes = axes.flatten()\n", "\n", "for i, ax in enumerate(axes[:11]): # Only plot first 5\n", " contour = event_intensity.sel(lat=slice(-65, 65))[i,:,:].plot.contourf(\n", " ax=ax,\n", " transform=ccrs.PlateCarree(),\n", " cmap=cmocean.cm.balance,\n", " levels=17,\n", " vmin=-4,\n", " vmax=4,\n", " add_colorbar=False,\n", " extend='neither'\n", " )\n", " \n", " ax.add_feature(cfeature.COASTLINE, linewidth=0.5)\n", " \n", " gl = ax.gridlines(draw_labels=True, linewidth=0.3, color='gray', alpha=0.5, linestyle='--')\n", " gl.top_labels = False\n", " gl.right_labels = False\n", " \n", " time_str = str(event_intensity.time[i].values)[:10]\n", " ax.set_title(time_str, fontsize=10, pad=4)\n", "\n", "cbar_ax = fig.add_axes([0.15, -0.03, 0.7, 0.02]) # [left, bottom, width, height]\n", "cbar = fig.colorbar(contour, cax=cbar_ax, orientation='horizontal')\n", "cbar.set_label('Intensity', fontsize=10)\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "9b5f4c50-f784-4c9b-b4dd-74669a8242bc", "metadata": {}, "source": [ "##### Shape" ] }, { "cell_type": "code", "execution_count": 65, "id": "6172599a-1a04-410f-96b8-96031c2133c4", "metadata": {}, "outputs": [], "source": [ "# Define spatial resolutions\n", "lon_resolution_value = 111.320 # km per degree longitude\n", "lat_resolution_value = 110.574 # km per degree latitude\n", "\n", "# Instantiate the class\n", "metrics = ShapeMeasures(lat_resolution=lat_resolution_value,\n", " lon_resolution=lon_resolution_value,\n", " use_decorators=False)\n", "\n", "# Area-related metrics\n", "spatial_extent_data = metrics.calc_spatial_extents(event_binary)\n", "\n", "# Perimeter\n", "perimeters = metrics.calc_perimeter(event_binary)\n", "\n", "# Complement to deformation\n", "coords_full = spatial_extent_data['coords_full']\n", "spatial_extents = spatial_extent_data['spatial_extents']\n", "comp_to_deform = metrics.calc_complement_to_deformation(coords_full, spatial_extents)\n", "\n", "# Deformation\n", "deform = metrics.calc_deformation(comp_to_deform)\n", "\n", "# Convex hull area vs. object area\n", "convex_hull_areas, ratio_convexhullarea_vs_area = metrics.calc_ratio_convexhullarea_vs_area(event_binary)\n", "\n", "# Circularity\n", "circularity = metrics.calc_circularity(spatial_extents, perimeters)" ] }, { "cell_type": "code", "execution_count": 66, "id": "a1149cd0-8b98-42c5-a1ce-bd61153e8bca", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[12840.466685413652, 19877.813417377176, 21557.817559868552, 40139.67288988289, 62383.97281866282, 20879.48653034418, 18256.04348638295, 42787.0662891526, 42552.186868265606, 28239.780415804853, 29001.529284735137]\n", "[5566139.569472478, 9954003.884386927, 8429047.029220862, 15338648.677684981, 29880430.636823323, 7619839.288714777, 9934519.26527951, 16395461.811288461, 15681878.02342612, 11373152.14366585, 9559966.063241929]\n", "29880430.636823323\n", "12703007.853927748\n", "[0.28291897 0.25376353 0.15305238 0.27424141 0.13374565 0.37958403\n", " 0.26929119 0.24446706 0.30225025 0.36259685]\n", "[0.71708103 0.74623647 0.84694762 0.72575859 0.86625435 0.62041597\n", " 0.73070881 0.75553294 0.69774975 0.63740315]\n", "[6717623.950409378, 14062736.655204404, 14348913.240474159, 39167391.661781386, 55414750.97351513, 11516622.0136969, 11553863.508841246, 25611463.36680384, 24426431.802653592, 14033875.710066216, 13861783.47039088]\n", "[0.4242309398748281, 0.31657050595140324, 0.227918068861202, 0.11963253525012466, 0.09648296895552338, 0.21964233254309426, 0.3745789752217847, 0.11254041131552377, 0.10883389356962263, 0.17921241078988423, 0.14283163772085983]\n" ] } ], "source": [ "print(perimeters)\n", "print(spatial_extents)\n", "print(spatial_extent_data['max_spatial_extent'])\n", "print(spatial_extent_data['mean_spatial_extent'])\n", "print(comp_to_deform)\n", "print(deform)\n", "print(convex_hull_areas)\n", "print(circularity)" ] }, { "cell_type": "markdown", "id": "c21227cd-6db6-44ce-95e0-a3f8e269f915", "metadata": {}, "source": [ "##### Motion" ] }, { "cell_type": "code", "execution_count": 67, "id": "692ff9dd-a601-4464-8345-78c053e32b36", "metadata": {}, "outputs": [], "source": [ "event_binary_lon = convert_lon(event_binary)\n", "event_binary['lon'] = event_binary_lon['lon_180']\n", "event_intensity['lon'] = event_binary_lon['lon_180']" ] }, { "cell_type": "code", "execution_count": 68, "id": "da7b1288-2f31-4d64-bb69-f512b6022b27", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Number of centroids per timestep: [1, 1, 1, 2, 2, 1, 1, 1, 1, 1, 1]\n", "Centroid path: [(-48.53403141361257, 68.75), (-48.53403141361257, 77.5), (-54.18848167539267, 62.5), (-25.916230366492147, 70.0), (-24.973821989528798, 85.0), (-3.2984293193717282, 70.0), (-1.4136125654450267, 73.75), (7.0680628272251305, 87.5), (5.183246073298429, 112.5), (-4.240837696335079, 111.25), (-2.3560209424083776, 120.0)]\n", "Displacements (km): [643.9159909517981, 1212.9228472124582, 3203.7696422105755, 1508.9501219600338, 2896.007441149724, 466.35683999533256, 1793.6277553728703, 2771.556364008446, 1057.0683232357997, 993.651900724373]\n", "Number of COMs per timestep: [1, 1, 1, 2, 2, 1, 1, 1, 1, 1, 1]\n", "COM path: [(-47.59162303664922, 70.0), (-46.64921465968587, 80.0), (-55.13089005235602, 62.5), (-25.916230366492147, 70.0), (-24.973821989528798, 85.0), (-3.2984293193717282, 70.0), (-1.4136125654450267, 73.75), (8.01047120418848, 87.5), (5.183246073298429, 111.25), (-5.18324607329843, 111.25), (-2.3560209424083776, 118.75)]\n", "Displacements (km): [763.3106070618832, 1540.7598609644376, 3305.4942055336974, 1508.9501219600338, 2896.007441149724, 466.35683999533256, 1850.044458144025, 2641.6411673494895, 1152.7029259811266, 889.4786592982161]\n", "\n", "COM Directionality:\n", "mean_delta_lon: 4.523560209424084\n", "mean_delta_lat: 4.875\n", "mean_angle: 47.141459886374875\n", "direction: northward (meridional-dominated)\n", "movement_count: 10\n", "\n", "Centroid Directionality:\n", "mean_delta_lon: 4.617801047120419\n", "mean_delta_lat: 5.125\n", "mean_angle: 47.98006183791712\n", "direction: northward (meridional-dominated)\n", "movement_count: 10\n" ] } ], "source": [ "motion = MotionMeasures(use_decorators=False)\n", "\n", "# Calculate centroids\n", "num_centroids = []\n", "centroid_coords = []\n", "\n", "for timestep in range(event_binary.time.shape[0]):\n", " centroids = motion.calculate_centroids(event_binary, timestep)\n", " num_centroids.append(len(centroids))\n", " centroid_coords.append(centroids)\n", "\n", "print(\"Number of centroids per timestep:\", num_centroids)\n", "\n", "# Calculate centroid displacements\n", "centroid_path, centroid_displacements = motion.calculate_centroid_displacement(event_binary)\n", "print(\"Centroid path:\", centroid_path)\n", "print(\"Displacements (km):\", centroid_displacements)\n", "\n", "# Calculate centers of mass\n", "num_coms = []\n", "com_coords = []\n", "\n", "for timestep in range(event_binary.time.shape[0]):\n", " coms = motion.calculate_coms(\n", " event_binary,\n", " event_intensity, timestep)\n", " num_coms.append(len(coms))\n", " com_coords.append(coms)\n", "\n", "print(\"Number of COMs per timestep:\", num_coms)\n", "\n", "# Calculate COM displacements\n", "com_path, com_displacements = motion.calculate_com_displacement(event_intensity)\n", "print(\"COM path:\", com_path)\n", "print(\"Displacements (km):\", com_displacements)\n", "\n", "# Calculate directionality\n", "com_dir = motion.calculate_directionality(com_path)\n", "centroid_dir = motion.calculate_directionality(centroid_path)\n", "\n", "print(\"\\nCOM Directionality:\")\n", "for k, v in com_dir.items():\n", " print(f\"{k}: {v}\")\n", "\n", "print(\"\\nCentroid Directionality:\")\n", "for k, v in centroid_dir.items():\n", " print(f\"{k}: {v}\")" ] }, { "cell_type": "code", "execution_count": 70, "id": "d97daf8f-0a96-4fb0-8636-cccc3ba6d658", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_displacement(centroid_path, event_intensity)" ] }, { "cell_type": "markdown", "id": "24a179a8-ffde-43d9-b970-52e86568a94c", "metadata": {}, "source": [ "##### Temporal" ] }, { "cell_type": "code", "execution_count": 71, "id": "63841ac1-a9f2-4dcd-b8ef-821ff86a8e25", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "1998-12-01 00:00:00\n", "11\n" ] } ], "source": [ "initial_detection_date = get_initial_detection_time(\n", " event_binary,\n", " units=\"days since 1850-01-01\",\n", " calendar=\"noleap\")\n", "duration = get_duration(event_binary)\n", "\n", "print(initial_detection_date)\n", "print(duration)" ] }, { "cell_type": "markdown", "id": "b2cefc9a-3150-4f63-b62c-e28edcd9253c", "metadata": {}, "source": [ "##### Intensity" ] }, { "cell_type": "code", "execution_count": 72, "id": "36fdaa9c-d6d4-4743-8b2c-768185cecb9a", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Maximum intensity: 2.1457733522070725\n", "90th percentile timeseries: Size: 88B\n", "array([0.82347254, 1.10577674, 1.08106423, 1.19724209, 1.10096886,\n", " 0.99251082, 1.21014004, 1.12043086, 1.1920588 , 1.48183421,\n", " 1.17666015])\n", "Coordinates:\n", " * time (time) object 88B 1998-12-01 00:00:00 ... 1999-10-01 00:00:00\n", " quantile float64 8B 0.9\n" ] } ], "source": [ "intensity_metrics = calculate_intensity_metrics(\n", " event_intensity)\n", "\n", "intensity_metrics = calculate_intensity_metrics(\n", " event_intensity, quantile_threshold=0.90)\n", "\n", "print(f\"Maximum intensity: {intensity_metrics['max_intensity']}\")\n", "print(f\"90th percentile timeseries: {intensity_metrics['percentile_90_intensity_timeseries']}\")" ] }, { "cell_type": "markdown", "id": "1e415c38-de44-426e-9671-5fe14348af32", "metadata": {}, "source": [ "#### 3.2 Multiple events and multiple measures" ] }, { "cell_type": "code", "execution_count": 73, "id": "60581750-a033-4a15-89fd-680ec7068dbb", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Shape Measures complete.\n", "Motion Measures complete.\n", "Temporal Measures complete.\n", "Intensity Measures complete.\n" ] } ], "source": [ "# One event, multiple measures\n", "run_shape = True\n", "run_motion = True\n", "run_temporal = True\n", "run_intensity = True\n", "\n", "measure_results = {}\n", "\n", "event_binary, event_intensity = get_object_masks(blobs, var_notrend, object_id=226.)\n", "\n", "if run_shape:\n", " measure_results['shape_measures'] = run_shape_measures(\n", " event_binary, \n", " lon_resolution_value, \n", " lat_resolution_value)\n", " print(\"Shape Measures complete.\")\n", "\n", "if run_motion:\n", " measure_results['motion_measures'] = run_motion_measures(\n", " event_binary, \n", " event_intensity)\n", " print(\"Motion Measures complete.\")\n", "\n", "if run_temporal:\n", " measure_results['temporal_measures'] = run_temporal_measures(\n", " event_binary)\n", " print(\"Temporal Measures complete.\")\n", "\n", "if run_intensity:\n", " measure_results['intensity_measures'] = run_intensity_measures(\n", " event_intensity)\n", " print(\"Intensity Measures complete.\")" ] }, { "cell_type": "code", "execution_count": 74, "id": "f1b67a3d-d8dc-4394-a329-467859eba5eb", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Shape Measures complete.\n", "Temporal Measures complete.\n", "Intensity Measures complete.\n", "Shape Measures complete.\n", "Temporal Measures complete.\n", "Intensity Measures complete.\n", "Shape Measures complete.\n", "Temporal Measures complete.\n", "Intensity Measures complete.\n" ] } ], "source": [ "# Multiple events, multiple measures\n", "my_object_ids = [8., 11., 16.] #\n", "\n", "run_shape_flag = True\n", "run_motion_flag = False # Example: turn off motion measures\n", "run_temporal_flag = True\n", "run_intensity_flag = True\n", "\n", "results_for_my_objects = process_objects_and_calculate_measures(\n", " my_object_ids,\n", " blob_data = blobs,\n", " intensity_data = var_notrend,\n", " run_shape=run_shape_flag,\n", " run_motion=run_motion_flag,\n", " run_temporal=run_temporal_flag,\n", " run_intensity=run_intensity_flag,\n", " lon_resolution_value=lon_resolution_value,\n", " lat_resolution_value=lat_resolution_value\n", ")" ] }, { "cell_type": "code", "execution_count": 75, "id": "cbe00383-ec7e-4df6-9327-a4cb96e1d7a8", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{8.0: {'shape_measures': {'perimeters': [9747.292089650471],\n", " 'spatial_extents': [2584050.3227785327],\n", " 'max_spatial_extent': 2584050.3227785327,\n", " 'mean_spatial_extent': 2584050.3227785327,\n", " 'complement_to_deformation': array([], dtype=float64),\n", " 'deformation': array([], dtype=float64),\n", " 'convex_hull_areas': [3513587.4055634644],\n", " 'ratio_convexhullarea_vs_area': [0.7354450094757599],\n", " 'circularity': [0.3417770289684867]},\n", " 'temporal_measures': {'initial_detection_date': cftime.DatetimeNoLeap(1979, 4, 1, 0, 0, 0, 0, has_year_zero=True),\n", " 'duration': 1},\n", " 'intensity_measures': {'max_intensity': 2.8889924833117675,\n", " 'percentile_90_intensity_timeseries': Size: 8B\n", " array([2.22573869])\n", " Coordinates:\n", " * time (time) object 8B 1979-04-01 00:00:00\n", " quantile float64 8B 0.9}},\n", " 11.0: {'shape_measures': {'perimeters': [12328.482711578845],\n", " 'spatial_extents': [4068020.4550980856],\n", " 'max_spatial_extent': 4068020.4550980856,\n", " 'mean_spatial_extent': 4068020.4550980856,\n", " 'complement_to_deformation': array([], dtype=float64),\n", " 'deformation': array([], dtype=float64),\n", " 'convex_hull_areas': [4534322.453004645],\n", " 'ratio_convexhullarea_vs_area': [0.8971617032666993],\n", " 'circularity': [0.3363362913350825]},\n", " 'temporal_measures': {'initial_detection_date': cftime.DatetimeNoLeap(1979, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n", " 'duration': 1},\n", " 'intensity_measures': {'max_intensity': 1.561326204174918,\n", " 'percentile_90_intensity_timeseries': Size: 8B\n", " array([1.4500794])\n", " Coordinates:\n", " * time (time) object 8B 1979-07-01 00:00:00\n", " quantile float64 8B 0.9}},\n", " 16.0: {'shape_measures': {'perimeters': [11498.378854624789],\n", " 'spatial_extents': [3539317.4219226753],\n", " 'max_spatial_extent': 3539317.4219226753,\n", " 'mean_spatial_extent': 3539317.4219226753,\n", " 'complement_to_deformation': array([], dtype=float64),\n", " 'deformation': array([], dtype=float64),\n", " 'convex_hull_areas': [4502545.207764898],\n", " 'ratio_convexhullarea_vs_area': [0.7860703798862294],\n", " 'circularity': [0.3364001262181062]},\n", " 'temporal_measures': {'initial_detection_date': cftime.DatetimeNoLeap(1980, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n", " 'duration': 1},\n", " 'intensity_measures': {'max_intensity': 2.445347845526044,\n", " 'percentile_90_intensity_timeseries': Size: 8B\n", " array([2.15074526])\n", " Coordinates:\n", " * time (time) object 8B 1980-01-01 00:00:00\n", " quantile float64 8B 0.9}}}" ] }, "execution_count": 75, "metadata": {}, "output_type": "execute_result" } ], "source": [ "results_for_my_objects" ] }, { "cell_type": "code", "execution_count": null, "id": "0650c68f-9271-4be5-b7a7-10dc166c6bfd", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python test_ocetrac", "language": "python", "name": "test_ocetrac" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.18" } }, "nbformat": 4, "nbformat_minor": 5 }