|
|
|
@ -89,7 +89,7 @@
@@ -89,7 +89,7 @@
|
|
|
|
|
}, |
|
|
|
|
{ |
|
|
|
|
"cell_type": "code", |
|
|
|
|
"execution_count": 10, |
|
|
|
|
"execution_count": 18, |
|
|
|
|
"id": "87860fa8-0a9c-4304-9c3c-94561c3e966c", |
|
|
|
|
"metadata": {}, |
|
|
|
|
"outputs": [], |
|
|
|
@ -103,18 +103,18 @@
@@ -103,18 +103,18 @@
|
|
|
|
|
"# d = 5113 corresponds to 30 Dec 2021\n", |
|
|
|
|
"# d = 4991 corresponds to 29 Dec 2020\n", |
|
|
|
|
"# (we will restrict our attention to 1980–2020)\n", |
|
|
|
|
"# h (axis 1) is the hour of the day (an integer in [0, 24])\n", |
|
|
|
|
"# h (axis 1) is the hour of the day (an integer in [0, 25])\n", |
|
|
|
|
"# the values corresponding to h = 0 and h = 24 are the same\n", |
|
|
|
|
"# lat (axis 2) describes the latitude (an integer in [0, 179]) \n", |
|
|
|
|
"# lon (axis 3) describes the longitude (an integer in [0, 359])\n", |
|
|
|
|
"\n", |
|
|
|
|
"wrf_T2_data = np.load(f\"{src_path}/WRF-T2-MAP.npy\")[:wrf_N_days]\n", |
|
|
|
|
"wrf_T2_data = np.load(f\"{src_path}/WRF-T2-MAP.npy\")[:wrf_N_days, :24]\n", |
|
|
|
|
"wrf_T2_data_DAYxLAT = wrf_T2_data.mean(axis=(1, 3))" |
|
|
|
|
] |
|
|
|
|
}, |
|
|
|
|
{ |
|
|
|
|
"cell_type": "code", |
|
|
|
|
"execution_count": 11, |
|
|
|
|
"execution_count": 19, |
|
|
|
|
"id": "1124d9f9-95d9-4c02-8176-82b9c0331d34", |
|
|
|
|
"metadata": {}, |
|
|
|
|
"outputs": [ |
|
|
|
@ -124,7 +124,7 @@
@@ -124,7 +124,7 @@
|
|
|
|
|
"(4992, 180)" |
|
|
|
|
] |
|
|
|
|
}, |
|
|
|
|
"execution_count": 11, |
|
|
|
|
"execution_count": 19, |
|
|
|
|
"metadata": {}, |
|
|
|
|
"output_type": "execute_result" |
|
|
|
|
} |
|
|
|
@ -135,7 +135,7 @@
@@ -135,7 +135,7 @@
|
|
|
|
|
}, |
|
|
|
|
{ |
|
|
|
|
"cell_type": "code", |
|
|
|
|
"execution_count": 14, |
|
|
|
|
"execution_count": 20, |
|
|
|
|
"id": "ec569ffd-93c2-4490-8ba1-69af4fab8f23", |
|
|
|
|
"metadata": {}, |
|
|
|
|
"outputs": [], |
|
|
|
|