<xarray.Dataset>\n",
"Dimensions: (time: 7306, y: 3840, x: 4608, reference_time: 1)\n",
"Coordinates:\n",
" crs int64 0\n",
" * reference_time (reference_time) datetime64[ns] 2023-04-27T11:00:00\n",
" * time (time) datetime64[ns] 2022-06-29 ... 2023-04-29T10:00:00\n",
" * x (x) float64 -2.303e+06 -2.302e+06 ... 2.303e+06 2.304e+06\n",
" * y (y) float64 -1.92e+06 -1.919e+06 ... 1.918e+06 1.919e+06\n",
"Data variables:\n",
" LWDOWN (time, y, x) float64 dask.array<chunksize=(168, 240, 288), meta=np.ndarray>\n",
" PSFC (time, y, x) float64 dask.array<chunksize=(168, 240, 288), meta=np.ndarray>\n",
" Q2D (time, y, x) float64 dask.array<chunksize=(168, 240, 288), meta=np.ndarray>\n",
" RAINRATE (time, y, x) float32 dask.array<chunksize=(168, 240, 288), meta=np.ndarray>\n",
" SWDOWN (time, y, x) float64 dask.array<chunksize=(168, 240, 288), meta=np.ndarray>\n",
" T2D (time, y, x) float64 dask.array<chunksize=(168, 240, 288), meta=np.ndarray>\n",
" U2D (time, y, x) float64 dask.array<chunksize=(168, 240, 288), meta=np.ndarray>\n",
" V2D (time, y, x) float64 dask.array<chunksize=(168, 240, 288), meta=np.ndarray>\n",
"Attributes:\n",
" NWM_version_number: v2.2\n",
" model_configuration: short_range\n",
" model_initialization_time: 2023-04-27_11:00:00\n",
" model_output_type: forcing\n",
" model_output_valid_time: 2023-04-27_12:00:00\n",
" model_total_valid_times: 18\n",
" pangeo-forge:inputs_hash: 59784c1feed1b881dc936b070ac5a83cbc680599cb9b6...\n",
" pangeo-forge:recipe_hash: 25e9980cd34a6a0871883fc7375f224d34f403c944f95...\n",
" pangeo-forge:version: 0.9.4| \n", " | NAME | \n", "STATE_NAME | \n", "geometry | \n", "
|---|---|---|---|
| 0 | \n", "Logan | \n", "Kentucky | \n", "POLYGON ((-87.06037 36.68085, -87.06002 36.708... | \n", "
| 1 | \n", "Queens | \n", "New York | \n", "POLYGON ((-73.96262 40.73903, -73.96243 40.739... | \n", "
| 2 | \n", "Hudson | \n", "New Jersey | \n", "MULTIPOLYGON (((-74.04220 40.69997, -74.03900 ... | \n", "
| 3 | \n", "Hunterdon | \n", "New Jersey | \n", "POLYGON ((-75.19511 40.57969, -75.19466 40.581... | \n", "
| 4 | \n", "McCreary | \n", "Kentucky | \n", "POLYGON ((-84.77845 36.60329, -84.73068 36.665... | \n", "
| ... | \n", "... | \n", "... | \n", "... | \n", "
| 3229 | \n", "Broomfield | \n", "Colorado | \n", "MULTIPOLYGON (((-105.10667 39.95783, -105.1073... | \n", "
| 3230 | \n", "Washington | \n", "Colorado | \n", "POLYGON ((-103.70655 39.73989, -103.70655 39.7... | \n", "
| 3231 | \n", "Dakota | \n", "Minnesota | \n", "POLYGON ((-93.32967 44.77948, -93.32962 44.791... | \n", "
| 3232 | \n", "Sheridan | \n", "Nebraska | \n", "POLYGON ((-102.79287 42.82249, -102.79211 42.9... | \n", "
| 3233 | \n", "Quay | \n", "New Mexico | \n", "POLYGON ((-104.12936 34.92420, -104.12902 34.9... | \n", "
3234 rows × 3 columns
\n", "<xarray.Dataset>\n",
"Dimensions: (time: 7306, x: 41, y: 40)\n",
"Coordinates:\n",
" * time (time) datetime64[ns] 2022-06-29 ... 2023-04-29T10:00:00\n",
" * x (x) float64 2.555e+05 2.565e+05 2.575e+05 ... 2.945e+05 2.955e+05\n",
" * y (y) float64 1.675e+05 1.685e+05 1.695e+05 ... 2.055e+05 2.065e+05\n",
" crs int64 0\n",
"Data variables:\n",
" LWDOWN (time, y, x) float64 dask.array<chunksize=(168, 40, 33), meta=np.ndarray>\n",
" PSFC (time, y, x) float64 dask.array<chunksize=(168, 40, 33), meta=np.ndarray>\n",
" Q2D (time, y, x) float64 dask.array<chunksize=(168, 40, 33), meta=np.ndarray>\n",
" RAINRATE (time, y, x) float32 dask.array<chunksize=(168, 40, 33), meta=np.ndarray>\n",
" SWDOWN (time, y, x) float64 dask.array<chunksize=(168, 40, 33), meta=np.ndarray>\n",
" T2D (time, y, x) float64 dask.array<chunksize=(168, 40, 33), meta=np.ndarray>\n",
" U2D (time, y, x) float64 dask.array<chunksize=(168, 40, 33), meta=np.ndarray>\n",
" V2D (time, y, x) float64 dask.array<chunksize=(168, 40, 33), meta=np.ndarray>\n",
"Attributes:\n",
" NWM_version_number: v2.2\n",
" model_configuration: short_range\n",
" model_initialization_time: 2023-04-27_11:00:00\n",
" model_output_type: forcing\n",
" model_output_valid_time: 2023-04-27_12:00:00\n",
" model_total_valid_times: 18\n",
" pangeo-forge:inputs_hash: 59784c1feed1b881dc936b070ac5a83cbc680599cb9b6...\n",
" pangeo-forge:recipe_hash: 25e9980cd34a6a0871883fc7375f224d34f403c944f95...\n",
" pangeo-forge:version: 0.9.4Client-632558ef-f4bf-11ed-83c7-32bb6486e0f8
\n", "| Connection method: Cluster object | \n", "Cluster type: distributed.LocalCluster | \n", " \n", "
| \n", " Dashboard: /user/taugspurger/proxy/8787/status\n", " | \n", "\n", " |
67d77040
\n", "| \n", " Dashboard: /user/taugspurger/proxy/8787/status\n", " | \n", "\n", " Workers: 4\n", " | \n", "
| \n", " Total threads: 8\n", " | \n", "\n", " Total memory: 7.50 GiB\n", " | \n", "
| Status: running | \n", "Using processes: True | \n", "
Scheduler-f6320a91-76fc-4263-add6-d560952fadca
\n", "| \n", " Comm: tcp://127.0.0.1:37413\n", " | \n", "\n", " Workers: 4\n", " | \n", "
| \n", " Dashboard: /user/taugspurger/proxy/8787/status\n", " | \n", "\n", " Total threads: 8\n", " | \n", "
| \n", " Started: Just now\n", " | \n", "\n", " Total memory: 7.50 GiB\n", " | \n", "
| \n", " Comm: tcp://127.0.0.1:46111\n", " | \n", "\n", " Total threads: 2\n", " | \n", "
| \n", " Dashboard: /user/taugspurger/proxy/34917/status\n", " | \n", "\n", " Memory: 1.88 GiB\n", " | \n", "
| \n", " Nanny: tcp://127.0.0.1:33065\n", " | \n", "\n", " |
| \n", " Local directory: /tmp/dask-worker-space/worker-vumqckxz\n", " | \n", "
| \n", " Comm: tcp://127.0.0.1:45429\n", " | \n", "\n", " Total threads: 2\n", " | \n", "
| \n", " Dashboard: /user/taugspurger/proxy/44995/status\n", " | \n", "\n", " Memory: 1.88 GiB\n", " | \n", "
| \n", " Nanny: tcp://127.0.0.1:34179\n", " | \n", "\n", " |
| \n", " Local directory: /tmp/dask-worker-space/worker-xbn6qzu4\n", " | \n", "
| \n", " Comm: tcp://127.0.0.1:38817\n", " | \n", "\n", " Total threads: 2\n", " | \n", "
| \n", " Dashboard: /user/taugspurger/proxy/41733/status\n", " | \n", "\n", " Memory: 1.88 GiB\n", " | \n", "
| \n", " Nanny: tcp://127.0.0.1:39513\n", " | \n", "\n", " |
| \n", " Local directory: /tmp/dask-worker-space/worker-_k5g9cyp\n", " | \n", "
| \n", " Comm: tcp://127.0.0.1:35347\n", " | \n", "\n", " Total threads: 2\n", " | \n", "
| \n", " Dashboard: /user/taugspurger/proxy/40943/status\n", " | \n", "\n", " Memory: 1.88 GiB\n", " | \n", "
| \n", " Nanny: tcp://127.0.0.1:45679\n", " | \n", "\n", " |
| \n", " Local directory: /tmp/dask-worker-space/worker-ob5iaaus\n", " | \n", "
Client-7e49bf19-f4bf-11ed-83c7-32bb6486e0f8
\n", "| Connection method: Cluster object | \n", "Cluster type: dask_gateway.GatewayCluster | \n", " \n", "
| \n", " Dashboard: /services/dask-gateway/clusters/default.c0d5d67063384fe2acdb71d0e6615657/status\n", " | \n", "\n", " |
<xarray.DataArray 'T2D' (time: 7306, y: 480, x: 576)>\n",
"dask.array<getitem, shape=(7306, 480, 576), dtype=float64, chunksize=(168, 240, 288), chunktype=numpy.ndarray>\n",
"Coordinates:\n",
" crs int64 0\n",
" * time (time) datetime64[ns] 2022-06-29 ... 2023-04-29T10:00:00\n",
" * x (x) float64 5.765e+05 5.775e+05 5.785e+05 ... 1.151e+06 1.152e+06\n",
" * y (y) float64 4.805e+05 4.815e+05 4.825e+05 ... 9.585e+05 9.595e+05\n",
"Attributes:\n",
" cell_methods: time: point\n",
" esri_pe_string: PROJCS["Lambert_Conformal_Conic",GEOGCS["GCS_Sphere",DAT...\n",
" grid_mapping: crs\n",
" long_name: 2-m Air Temperature\n",
" proj4: +proj=lcc +units=m +a=6370000.0 +b=6370000.0 +lat_1=30.0...\n",
" remap: remapped via ESMF regrid_with_weights: Bilinear\n",
" standard_name: air_temperature\n",
" units: K<xarray.DataArray 'T2D' (hour: 24, y: 480, x: 576)>\n",
"dask.array<transpose, shape=(24, 480, 576), dtype=float64, chunksize=(24, 240, 288), chunktype=numpy.ndarray>\n",
"Coordinates:\n",
" crs int64 0\n",
" * x (x) float64 5.765e+05 5.775e+05 5.785e+05 ... 1.151e+06 1.152e+06\n",
" * y (y) float64 4.805e+05 4.815e+05 4.825e+05 ... 9.585e+05 9.595e+05\n",
" * hour (hour) int64 0 1 2 3 4 5 6 7 8 9 ... 14 15 16 17 18 19 20 21 22 23\n",
"Attributes:\n",
" cell_methods: time: point\n",
" esri_pe_string: PROJCS["Lambert_Conformal_Conic",GEOGCS["GCS_Sphere",DAT...\n",
" grid_mapping: crs\n",
" long_name: 2-m Air Temperature\n",
" proj4: +proj=lcc +units=m +a=6370000.0 +b=6370000.0 +lat_1=30.0...\n",
" remap: remapped via ESMF regrid_with_weights: Bilinear\n",
" standard_name: air_temperature\n",
" units: K<xarray.DataArray 'T2D' (time: 7306, y: 480, x: 576)>\n",
"dask.array<sub, shape=(7306, 480, 576), dtype=float64, chunksize=(168, 240, 288), chunktype=numpy.ndarray>\n",
"Coordinates:\n",
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" * y (y) float64 4.805e+05 4.815e+05 4.825e+05 ... 9.585e+05 9.595e+05\n",
" hour (time) int64 0 1 2 3 4 5 6 7 8 9 10 11 ... 0 1 2 3 4 5 6 7 8 9 10<xarray.DataArray 'T2D' (time: 7306)>\n",
"dask.array<mean_agg-aggregate, shape=(7306,), dtype=float64, chunksize=(168,), chunktype=numpy.ndarray>\n",
"Coordinates:\n",
" crs (time) int64 0 0 0 0 0 0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0 0 0 0 0\n",
" * time (time) datetime64[ns] 2022-06-29 ... 2023-04-29T10:00:00\n",
" hour (time) int64 0 1 2 3 4 5 6 7 8 9 10 11 ... 0 1 2 3 4 5 6 7 8 9 10