|
| 1 | +{ |
| 2 | + "cells": [ |
| 3 | + { |
| 4 | + "cell_type": "markdown", |
| 5 | + "id": "frank-sense", |
| 6 | + "metadata": {}, |
| 7 | + "source": [ |
| 8 | + "# Demo with esgf search for CMIP6 at DKRZ site (Subset + Average)\n", |
| 9 | + "\n", |
| 10 | + "ESGF Node at DKRZ: https://esgf-data.dkrz.de/search/cmip6-dkrz/" |
| 11 | + ] |
| 12 | + }, |
| 13 | + { |
| 14 | + "cell_type": "markdown", |
| 15 | + "id": "blond-english", |
| 16 | + "metadata": {}, |
| 17 | + "source": [ |
| 18 | + "## Use esgf search at DKRZ ... no distributed search\n", |
| 19 | + "\n", |
| 20 | + "\n", |
| 21 | + "\n", |
| 22 | + "Using ``esgf-pyclient``: \n", |
| 23 | + "https://esgf-pyclient.readthedocs.io/en/latest/notebooks/examples/search.html" |
| 24 | + ] |
| 25 | + }, |
| 26 | + { |
| 27 | + "cell_type": "code", |
| 28 | + "execution_count": null, |
| 29 | + "id": "incorporate-wings", |
| 30 | + "metadata": {}, |
| 31 | + "outputs": [], |
| 32 | + "source": [ |
| 33 | + "from pyesgf.search import SearchConnection\n", |
| 34 | + "conn = SearchConnection('http://esgf-data.dkrz.de/esg-search',\n", |
| 35 | + " distrib=False)" |
| 36 | + ] |
| 37 | + }, |
| 38 | + { |
| 39 | + "cell_type": "markdown", |
| 40 | + "id": "complex-teacher", |
| 41 | + "metadata": {}, |
| 42 | + "source": [ |
| 43 | + "**Search only CMIP6 files locally available at DKRZ**" |
| 44 | + ] |
| 45 | + }, |
| 46 | + { |
| 47 | + "cell_type": "code", |
| 48 | + "execution_count": null, |
| 49 | + "id": "civilian-monaco", |
| 50 | + "metadata": {}, |
| 51 | + "outputs": [], |
| 52 | + "source": [ |
| 53 | + "ctx = conn.new_context(project='CMIP6', data_node='esgf3.dkrz.de', latest=True, replica=False)\n", |
| 54 | + "ctx.hit_count" |
| 55 | + ] |
| 56 | + }, |
| 57 | + { |
| 58 | + "cell_type": "markdown", |
| 59 | + "id": "three-thomson", |
| 60 | + "metadata": {}, |
| 61 | + "source": [ |
| 62 | + "Select only one dataset" |
| 63 | + ] |
| 64 | + }, |
| 65 | + { |
| 66 | + "cell_type": "code", |
| 67 | + "execution_count": null, |
| 68 | + "id": "color-courtesy", |
| 69 | + "metadata": {}, |
| 70 | + "outputs": [], |
| 71 | + "source": [ |
| 72 | + "results = ctx.search(\n", |
| 73 | + " institution_id='MPI-M',\n", |
| 74 | + " source_id='MPI-ESM1-2-HR',\n", |
| 75 | + " experiment_id='historical', \n", |
| 76 | + " variable='tas', \n", |
| 77 | + " frequency='day',\n", |
| 78 | + " variant_label='r1i1p1f1'\n", |
| 79 | + ")\n", |
| 80 | + "len(results)" |
| 81 | + ] |
| 82 | + }, |
| 83 | + { |
| 84 | + "cell_type": "code", |
| 85 | + "execution_count": null, |
| 86 | + "id": "satisfactory-details", |
| 87 | + "metadata": {}, |
| 88 | + "outputs": [], |
| 89 | + "source": [ |
| 90 | + "ds = results[0]\n", |
| 91 | + "ds.json" |
| 92 | + ] |
| 93 | + }, |
| 94 | + { |
| 95 | + "cell_type": "markdown", |
| 96 | + "id": "oriented-collectible", |
| 97 | + "metadata": {}, |
| 98 | + "source": [ |
| 99 | + "Get a dataset identifier used by rook" |
| 100 | + ] |
| 101 | + }, |
| 102 | + { |
| 103 | + "cell_type": "code", |
| 104 | + "execution_count": null, |
| 105 | + "id": "expanded-validation", |
| 106 | + "metadata": {}, |
| 107 | + "outputs": [], |
| 108 | + "source": [ |
| 109 | + "dataset_id = ds.json['instance_id']\n", |
| 110 | + "dataset_id" |
| 111 | + ] |
| 112 | + }, |
| 113 | + { |
| 114 | + "cell_type": "markdown", |
| 115 | + "id": "royal-tourism", |
| 116 | + "metadata": {}, |
| 117 | + "source": [ |
| 118 | + "Time range" |
| 119 | + ] |
| 120 | + }, |
| 121 | + { |
| 122 | + "cell_type": "code", |
| 123 | + "execution_count": null, |
| 124 | + "id": "intellectual-medium", |
| 125 | + "metadata": {}, |
| 126 | + "outputs": [], |
| 127 | + "source": [ |
| 128 | + "f\"{ds.json['datetime_start']}/{ds.json['datetime_stop']})\"" |
| 129 | + ] |
| 130 | + }, |
| 131 | + { |
| 132 | + "cell_type": "markdown", |
| 133 | + "id": "frozen-bowling", |
| 134 | + "metadata": {}, |
| 135 | + "source": [ |
| 136 | + "Bounding Box: (West, Sout, East, North)" |
| 137 | + ] |
| 138 | + }, |
| 139 | + { |
| 140 | + "cell_type": "code", |
| 141 | + "execution_count": null, |
| 142 | + "id": "secure-clark", |
| 143 | + "metadata": {}, |
| 144 | + "outputs": [], |
| 145 | + "source": [ |
| 146 | + "f\"({ds.json['west_degrees']}, {ds.json['south_degrees']},{ds.json['east_degrees']}, {ds.json['west_degrees']}, {ds.json['north_degrees']})\"\n" |
| 147 | + ] |
| 148 | + }, |
| 149 | + { |
| 150 | + "cell_type": "markdown", |
| 151 | + "id": "presidential-mixer", |
| 152 | + "metadata": {}, |
| 153 | + "source": [ |
| 154 | + "Size in GB" |
| 155 | + ] |
| 156 | + }, |
| 157 | + { |
| 158 | + "cell_type": "code", |
| 159 | + "execution_count": null, |
| 160 | + "id": "controlling-benchmark", |
| 161 | + "metadata": {}, |
| 162 | + "outputs": [], |
| 163 | + "source": [ |
| 164 | + "f\"{ds.json['size'] / 1024 / 1024 / 1024} GB\"" |
| 165 | + ] |
| 166 | + }, |
| 167 | + { |
| 168 | + "cell_type": "markdown", |
| 169 | + "id": "working-pulse", |
| 170 | + "metadata": {}, |
| 171 | + "source": [ |
| 172 | + "## Use Rook to run subset + average" |
| 173 | + ] |
| 174 | + }, |
| 175 | + { |
| 176 | + "cell_type": "code", |
| 177 | + "execution_count": null, |
| 178 | + "id": "deadly-environment", |
| 179 | + "metadata": {}, |
| 180 | + "outputs": [], |
| 181 | + "source": [ |
| 182 | + "import os\n", |
| 183 | + "os.environ['ROOK_URL'] = 'http://rook1.cloud.dkrz.de/wps'\n", |
| 184 | + "os.environ['ROOK_MODE'] = 'async'\n", |
| 185 | + "\n", |
| 186 | + "from rooki import operators as ops" |
| 187 | + ] |
| 188 | + }, |
| 189 | + { |
| 190 | + "cell_type": "markdown", |
| 191 | + "id": "stylish-comedy", |
| 192 | + "metadata": {}, |
| 193 | + "source": [ |
| 194 | + "Run subset workflow\n", |
| 195 | + "\n", |
| 196 | + "http://bboxfinder.com/" |
| 197 | + ] |
| 198 | + }, |
| 199 | + { |
| 200 | + "cell_type": "code", |
| 201 | + "execution_count": null, |
| 202 | + "id": "characteristic-elizabeth", |
| 203 | + "metadata": {}, |
| 204 | + "outputs": [], |
| 205 | + "source": [ |
| 206 | + "bbox_africa = \"-23.906250,-35.746512,63.632813,37.996163\"\n", |
| 207 | + "\n", |
| 208 | + "\n", |
| 209 | + "subset = ops.Subset(\n", |
| 210 | + " ops.Input(\n", |
| 211 | + " 'tas', [dataset_id]\n", |
| 212 | + " ),\n", |
| 213 | + " time=\"1850-01-01/1850-12-31\",\n", |
| 214 | + " area=bbox_africa,\n", |
| 215 | + " )\n", |
| 216 | + "wf = ops.Average(subset, dims=\"time\")\n", |
| 217 | + "\n", |
| 218 | + "resp = wf.orchestrate()\n", |
| 219 | + "resp.ok" |
| 220 | + ] |
| 221 | + }, |
| 222 | + { |
| 223 | + "cell_type": "markdown", |
| 224 | + "id": "selective-cylinder", |
| 225 | + "metadata": {}, |
| 226 | + "source": [ |
| 227 | + "Metalink URL" |
| 228 | + ] |
| 229 | + }, |
| 230 | + { |
| 231 | + "cell_type": "code", |
| 232 | + "execution_count": null, |
| 233 | + "id": "acquired-cable", |
| 234 | + "metadata": {}, |
| 235 | + "outputs": [], |
| 236 | + "source": [ |
| 237 | + "resp.url" |
| 238 | + ] |
| 239 | + }, |
| 240 | + { |
| 241 | + "cell_type": "markdown", |
| 242 | + "id": "hollow-edmonton", |
| 243 | + "metadata": {}, |
| 244 | + "source": [ |
| 245 | + "Number of files" |
| 246 | + ] |
| 247 | + }, |
| 248 | + { |
| 249 | + "cell_type": "code", |
| 250 | + "execution_count": null, |
| 251 | + "id": "little-copyright", |
| 252 | + "metadata": {}, |
| 253 | + "outputs": [], |
| 254 | + "source": [ |
| 255 | + "resp.num_files" |
| 256 | + ] |
| 257 | + }, |
| 258 | + { |
| 259 | + "cell_type": "markdown", |
| 260 | + "id": "different-beatles", |
| 261 | + "metadata": {}, |
| 262 | + "source": [ |
| 263 | + "Total size in MB" |
| 264 | + ] |
| 265 | + }, |
| 266 | + { |
| 267 | + "cell_type": "code", |
| 268 | + "execution_count": null, |
| 269 | + "id": "mighty-attitude", |
| 270 | + "metadata": {}, |
| 271 | + "outputs": [], |
| 272 | + "source": [ |
| 273 | + "resp.size_in_mb" |
| 274 | + ] |
| 275 | + }, |
| 276 | + { |
| 277 | + "cell_type": "markdown", |
| 278 | + "id": "registered-karaoke", |
| 279 | + "metadata": {}, |
| 280 | + "source": [ |
| 281 | + "Download URLs" |
| 282 | + ] |
| 283 | + }, |
| 284 | + { |
| 285 | + "cell_type": "code", |
| 286 | + "execution_count": null, |
| 287 | + "id": "driving-theory", |
| 288 | + "metadata": {}, |
| 289 | + "outputs": [], |
| 290 | + "source": [ |
| 291 | + "resp.download_urls()" |
| 292 | + ] |
| 293 | + }, |
| 294 | + { |
| 295 | + "cell_type": "markdown", |
| 296 | + "id": "reasonable-vacation", |
| 297 | + "metadata": {}, |
| 298 | + "source": [ |
| 299 | + "Download and open with xarray" |
| 300 | + ] |
| 301 | + }, |
| 302 | + { |
| 303 | + "cell_type": "code", |
| 304 | + "execution_count": null, |
| 305 | + "id": "collectible-enough", |
| 306 | + "metadata": {}, |
| 307 | + "outputs": [], |
| 308 | + "source": [ |
| 309 | + "ds_0 = resp.datasets()[0]\n", |
| 310 | + "ds_0" |
| 311 | + ] |
| 312 | + }, |
| 313 | + { |
| 314 | + "cell_type": "markdown", |
| 315 | + "id": "manufactured-judgment", |
| 316 | + "metadata": {}, |
| 317 | + "source": [ |
| 318 | + "Provenance: URL to json document" |
| 319 | + ] |
| 320 | + }, |
| 321 | + { |
| 322 | + "cell_type": "code", |
| 323 | + "execution_count": null, |
| 324 | + "id": "patient-italy", |
| 325 | + "metadata": {}, |
| 326 | + "outputs": [], |
| 327 | + "source": [ |
| 328 | + "resp.provenance()" |
| 329 | + ] |
| 330 | + }, |
| 331 | + { |
| 332 | + "cell_type": "markdown", |
| 333 | + "id": "liable-today", |
| 334 | + "metadata": {}, |
| 335 | + "source": [ |
| 336 | + "Provenance Plot" |
| 337 | + ] |
| 338 | + }, |
| 339 | + { |
| 340 | + "cell_type": "code", |
| 341 | + "execution_count": null, |
| 342 | + "id": "dimensional-romance", |
| 343 | + "metadata": {}, |
| 344 | + "outputs": [], |
| 345 | + "source": [ |
| 346 | + "from IPython.display import Image\n", |
| 347 | + "Image(resp.provenance_image())" |
| 348 | + ] |
| 349 | + } |
| 350 | + ], |
| 351 | + "metadata": { |
| 352 | + "kernelspec": { |
| 353 | + "display_name": "Python 3", |
| 354 | + "language": "python", |
| 355 | + "name": "python3" |
| 356 | + }, |
| 357 | + "language_info": { |
| 358 | + "codemirror_mode": { |
| 359 | + "name": "ipython", |
| 360 | + "version": 3 |
| 361 | + }, |
| 362 | + "file_extension": ".py", |
| 363 | + "mimetype": "text/x-python", |
| 364 | + "name": "python", |
| 365 | + "nbconvert_exporter": "python", |
| 366 | + "pygments_lexer": "ipython3", |
| 367 | + "version": "3.9.2" |
| 368 | + } |
| 369 | + }, |
| 370 | + "nbformat": 4, |
| 371 | + "nbformat_minor": 5 |
| 372 | +} |
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