|
10 | 10 | }, |
11 | 11 | { |
12 | 12 | "cell_type": "code", |
13 | | - "execution_count": 24, |
| 13 | + "execution_count": 1, |
14 | 14 | "id": "6ef0e461", |
15 | 15 | "metadata": {}, |
16 | | - "outputs": [], |
| 16 | + "outputs": [ |
| 17 | + { |
| 18 | + "name": "stdout", |
| 19 | + "output_type": "stream", |
| 20 | + "text": [ |
| 21 | + "\n", |
| 22 | + "## You are using the Python ARM Radar Toolkit (Py-ART), an open source\n", |
| 23 | + "## library for working with weather radar data. Py-ART is partly\n", |
| 24 | + "## supported by the U.S. Department of Energy as part of the Atmospheric\n", |
| 25 | + "## Radiation Measurement (ARM) Climate Research Facility, an Office of\n", |
| 26 | + "## Science user facility.\n", |
| 27 | + "##\n", |
| 28 | + "## If you use this software to prepare a publication, please cite:\n", |
| 29 | + "##\n", |
| 30 | + "## JJ Helmus and SM Collis, JORS 2016, doi: 10.5334/jors.119\n", |
| 31 | + "\n", |
| 32 | + "\n", |
| 33 | + "## Cite PyScanCf:\n", |
| 34 | + "\n", |
| 35 | + "## Syed, H. A., Sayyed, I., Kalapureddy, M. C. R., & Grandhi, K. K. (2021).\n", |
| 36 | + "## PyScanCf – The library for individual sweep datasets of IMD weather radars.\n", |
| 37 | + "## Zenodo. https://doi.org/10.5281/zenodo.5574160\n", |
| 38 | + "\n" |
| 39 | + ] |
| 40 | + } |
| 41 | + ], |
17 | 42 | "source": [ |
18 | 43 | "import os\n", |
19 | 44 | "import glob\n", |
|
25 | 50 | }, |
26 | 51 | { |
27 | 52 | "cell_type": "code", |
28 | | - "execution_count": 4, |
| 53 | + "execution_count": 2, |
29 | 54 | "id": "702fa56e", |
30 | 55 | "metadata": {}, |
31 | 56 | "outputs": [ |
|
48 | 73 | }, |
49 | 74 | { |
50 | 75 | "cell_type": "code", |
51 | | - "execution_count": 5, |
| 76 | + "execution_count": 3, |
52 | 77 | "id": "8b09c9e3", |
53 | 78 | "metadata": {}, |
54 | 79 | "outputs": [ |
|
98 | 123 | }, |
99 | 124 | { |
100 | 125 | "cell_type": "code", |
101 | | - "execution_count": 25, |
| 126 | + "execution_count": 4, |
102 | 127 | "id": "fad28716", |
103 | 128 | "metadata": {}, |
104 | 129 | "outputs": [], |
105 | 130 | "source": [ |
106 | 131 | "input_dir = target_dir\n", |
107 | | - "out_dir = \"outdir\"" |
| 132 | + "out_dir = \"outdir\"\n", |
| 133 | + "!rm -rf $out_dir" |
108 | 134 | ] |
109 | 135 | }, |
110 | 136 | { |
111 | 137 | "cell_type": "code", |
112 | | - "execution_count": 26, |
| 138 | + "execution_count": 5, |
113 | 139 | "id": "70266985", |
114 | 140 | "metadata": {}, |
115 | | - "outputs": [], |
| 141 | + "outputs": [ |
| 142 | + { |
| 143 | + "name": "stderr", |
| 144 | + "output_type": "stream", |
| 145 | + "text": [ |
| 146 | + "2025-04-18 14:31:02,754 - INFO - Packing 10 sweeps into 1 volumes\n", |
| 147 | + "2025-04-18 14:31:02,755 - INFO - Processing volume 1\n", |
| 148 | + "2025-04-18 14:31:04,000 - INFO - Saved cfrad_GOA210516024101-IMD-B.nc\n", |
| 149 | + "2025-04-18 14:31:04,001 - INFO - Data merging done \n", |
| 150 | + "Total Time Elapsed: 0:00:05.284940\n" |
| 151 | + ] |
| 152 | + } |
| 153 | + ], |
116 | 154 | "source": [ |
117 | 155 | "pcf.cfrad(input_dir, out_dir,)" |
118 | 156 | ] |
119 | 157 | }, |
120 | 158 | { |
121 | 159 | "cell_type": "code", |
122 | | - "execution_count": 31, |
| 160 | + "execution_count": 6, |
123 | 161 | "id": "13cfd4a3", |
124 | 162 | "metadata": {}, |
125 | 163 | "outputs": [ |
|
129 | 167 | "['outdir/cfrad_GOA210516024101-IMD-B.nc']" |
130 | 168 | ] |
131 | 169 | }, |
132 | | - "execution_count": 31, |
| 170 | + "execution_count": 6, |
133 | 171 | "metadata": {}, |
134 | 172 | "output_type": "execute_result" |
135 | 173 | } |
|
141 | 179 | }, |
142 | 180 | { |
143 | 181 | "cell_type": "code", |
144 | | - "execution_count": 40, |
| 182 | + "execution_count": 7, |
145 | 183 | "id": "0376ccdc", |
146 | 184 | "metadata": {}, |
147 | 185 | "outputs": [ |
|
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