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IMOS - Surface Waves - SAR - Windrose example around Tasmania (Winter 2019)
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imos_sar.ipynb
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Surface Wave - SAR - wind wave data visualisation\n",
"\n",
"### 1. Retrieve list of NetCDF\n",
"#### 1.1 Using the AODN Portal\n",
"Go to https://portal.aodn.org.au/search?uuid=4680a155-07af-46ac-b026-151c4ed4f6d5\n",
"create a subset of your choice. In step 3, download a list of url (text file)\n",
"\n",
"Alternatively, it is possible to do this step using the Geoserver capabilities\n",
"#### 1.2 Using the AODN Geoserver capabilities\n",
"##### 1.2.1 Initialise the OWS lib to query the AODN Geoserver\n"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"from owslib.etree import etree\n",
"from owslib.fes import PropertyIsLike, BBox, And\n",
"from owslib.wfs import WebFeatureService\n",
"from owslib.wms import WebMapService\n",
"import xml.etree.ElementTree as ET\n",
"\n",
"GEOSERVER_URL = 'http://geoserver-123.aodn.org.au/geoserver'\n",
"GEOSERVER_WFS_LAYER = '{geoserver_url}/wfs'.format(geoserver_url=GEOSERVER_URL)\n",
"GEOSERVER_WMS_LAYER = '{geoserver_url}/wms'.format(geoserver_url=GEOSERVER_URL)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"##### 1.2.2 Seach for the SAR layer"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['imos:srs_surface_waves_sar_fv00_trajectory_map', 'imos:srs_surface_waves_sar_fv01_trajectory_map']\n"
]
}
],
"source": [
"aodn_collection_to_search_str = \"surface_waves_sar\"\n",
"\n",
"wms = WebMapService(GEOSERVER_WFS_LAYER, version='1.1.1')\n",
"wms_wfs_ls = list(wms.contents) # list containing ALL IMOS/AODN geoserver layers\n",
"matching = [s.lower() for s in wms_wfs_ls if aodn_collection_to_search_str.lower() in s]\n",
"print(matching)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"##### 1.2.3 WMS filtering to retrieve a list of URL's matching a geographical bounding box"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"# creating a bounding box limited to the West coast of Tasmania\n",
"lat_min = -45\n",
"lat_max = -40\n",
"lon_min = 142\n",
"lon_max = 145"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"layer1_wms_name = 'imos:srs_surface_waves_sar_fv01_trajectory_map' # delayed mode data\n",
"\n",
"import json\n",
"wfs = WebFeatureService(url=GEOSERVER_WFS_LAYER, version='1.1.0', timeout=30)\n",
"#data = wfs[layer1_wms_name]\n",
"\n",
"# retrieve WFS data with a bbox filter defined above\n",
"response = wfs.getfeature(typename=layer1_wms_name,\n",
" #propertyname='url',\n",
" bbox=(lon_min, lat_min, lon_max, lat_max), \n",
" srsname='EPSG:4326', \n",
" outputFormat='application/json')\n",
"\n",
"res = response.read()\n",
"json_output = json.dumps(json.loads(res))\n",
"wms_data = json.loads(json_output)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"##### 1.2.4 Read the WMS data\n",
"In the following part, the data is loading into a panda dataframe to make it easier to deal with. We append the IMOS base url to get a full path"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"from pandas.io.json import json_normalize\n",
"\n",
"json_output = json.dumps(json.loads(res))\n",
"data = json.loads(json_output)\n",
"df_wms_data = json_normalize(data['features'])"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0 2015-10-20 22:59:27\n",
"1 2015-11-10 22:33:05\n",
"2 2015-11-17 23:59:57\n",
"3 2015-10-17 22:33:05\n",
"4 2015-10-02 23:43:58\n",
"5 2015-10-21 12:40:28\n",
"6 2015-10-29 22:33:05\n",
"7 2015-11-22 22:33:05\n",
"8 2015-10-18 23:14:15\n",
"9 2015-11-29 22:24:57\n",
"10 2015-10-26 23:43:55\n",
"11 2016-07-13 23:22:27\n",
"12 2016-11-10 23:22:31\n",
"13 2016-11-25 23:41:05\n",
"14 2016-12-10 22:33:11\n",
"15 2017-04-13 15:01:43\n",
"16 2017-04-21 23:22:47\n",
"17 2016-01-03 23:22:22\n",
"18 2016-01-25 21:59:59\n",
"19 2016-01-27 23:22:21\n",
"20 2016-02-20 23:22:21\n",
"21 2016-06-28 22:57:47\n",
"22 2016-06-04 22:57:45\n",
"23 2016-03-05 23:06:13\n",
"24 2016-03-10 23:14:12\n",
"25 2015-08-11 22:38:30\n",
"26 2015-09-04 13:20:37\n",
"27 2015-09-28 22:38:32\n",
"28 2015-09-23 13:12:23\n",
"29 2015-08-27 23:43:57\n",
" ... \n",
"2663 2018-10-09 23:56:10\n",
"2664 2018-10-10 16:42:23\n",
"2665 2018-10-15 23:06:21\n",
"2666 2018-10-22 22:58:00\n",
"2667 2018-11-04 22:50:02\n",
"2668 2018-11-16 22:50:01\n",
"2669 2018-11-27 22:58:00\n",
"2670 2018-11-28 22:50:01\n",
"2671 2018-12-01 23:14:34\n",
"2672 2018-12-10 23:39:29\n",
"2673 2018-12-15 22:58:02\n",
"2674 2018-12-22 22:50:00\n",
"2675 2019-01-01 23:06:33\n",
"2676 2019-01-03 22:50:00\n",
"2677 2019-01-07 23:06:19\n",
"2678 2019-01-10 23:31:16\n",
"2679 2019-01-14 21:19:10\n",
"2680 2019-01-15 22:49:59\n",
"2681 2019-01-26 22:57:58\n",
"2682 2019-02-08 22:49:58\n",
"2683 2019-02-19 22:45:45\n",
"2684 2019-02-20 22:46:04\n",
"2685 2019-03-03 22:48:40\n",
"2686 2019-09-23 13:09:21\n",
"2687 2015-07-31 23:19:21\n",
"2688 2016-01-19 22:49:40\n",
"2689 2016-01-31 22:49:40\n",
"2690 2016-02-24 22:49:39\n",
"2691 2016-04-22 23:06:14\n",
"2692 2016-04-24 22:49:41\n",
"Name: properties.time_coverage_end, Length: 2693, dtype: datetime64[ns]"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import pandas as pd\n",
"\n",
"pd.to_datetime(df_wms_data['properties.time_coverage_start']) # converting TIME values to date type\n",
"pd.to_datetime(df_wms_data['properties.time_coverage_end']) # converting TIME values to date type"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"##### 1.2.5 Filter the data to only get Winter 2019 NetCDF"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"df_wms_data = df_wms_data[(df_wms_data['properties.time_coverage_start'] > '2019-06-01T00:00:00Z') &\n",
" (df_wms_data['properties.time_coverage_end'] < '2019-09-01T00:00:00Z')]"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'https://s3-ap-southeast-2.amazonaws.com/imos-data/IMOS/SRS/Surface-Waves/SAR/DELAYED/SENTINEL-1B/2019/06/IMOS_SRS-Surface-Waves_W_20190602T010334Z_Sentinel-1B_FV01_DM00_K2_END-20190602T224939Z.nc'"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"imos_bucket_prefix=\"https://s3-ap-southeast-2.amazonaws.com/imos-data/\"\n",
"nc_url_list = [imos_bucket_prefix + s for s in df_wms_data['properties.url'].values]\n",
"nc_url_list[0]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 2. Download list of NetCDF\n"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"\n",
"from urllib.request import urlretrieve\n",
"\n",
"def download_temporary_netcdf(url, output_dir):\n",
" \"\"\"\n",
" downloads NetCDF into the output folder\n",
" \"\"\"\n",
" netcdf_path = os.path.join(output_dir, os.path.basename(url))\n",
" if not os.path.exists(os.path.dirname((netcdf_path))):\n",
" os.makedirs(os.path.dirname((netcdf_path)))\n",
"\n",
" if not os.path.exists(netcdf_path):\n",
" urlretrieve(url, netcdf_path)\n",
"\n",
" return netcdf_path\n",
"\n",
"\n",
"def download_list_netcdf_from_text_file_(list_path, output_dir):\n",
" \"\"\"\n",
" downloads a list of NetCDF into the output folder from a text file containing a list of url\n",
" \"\"\"\n",
" with open(list_path) as fp:\n",
" Lines = fp.readlines()\n",
" for line in Lines:\n",
" nc_url = line.strip()\n",
" print('Downloading {nc_name}'.format(nc_name=os.path.basename(nc_url)))\n",
" download_temporary_netcdf(nc_url, output_dir)\n",
" \n",
"def download_list_netcdf_from_wms_output(url_array, output_dir):\n",
" \"\"\"\n",
" downloads a list of NetCDF into the output folder from an array or url's\n",
" \"\"\"\n",
" for nc_url in url_array:\n",
" print(nc_url) \n",
" print('Downloading {nc_name}'.format(nc_name=os.path.basename(nc_url)))\n",
" download_temporary_netcdf(nc_url, output_dir)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"scrolled": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"https://s3-ap-southeast-2.amazonaws.com/imos-data/IMOS/SRS/Surface-Waves/SAR/DELAYED/SENTINEL-1B/2019/06/IMOS_SRS-Surface-Waves_W_20190602T010334Z_Sentinel-1B_FV01_DM00_K2_END-20190602T224939Z.nc\n",
"Downloading IMOS_SRS-Surface-Waves_W_20190602T010334Z_Sentinel-1B_FV01_DM00_K2_END-20190602T224939Z.nc\n",
"https://s3-ap-southeast-2.amazonaws.com/imos-data/IMOS/SRS/Surface-Waves/SAR/DELAYED/SENTINEL-1B/2019/06/IMOS_SRS-Surface-Waves_W_20190603T000502Z_Sentinel-1B_FV01_DM00_K2_END-20190603T233118Z.nc\n",
"Downloading IMOS_SRS-Surface-Waves_W_20190603T000502Z_Sentinel-1B_FV01_DM00_K2_END-20190603T233118Z.nc\n",
"https://s3-ap-southeast-2.amazonaws.com/imos-data/IMOS/SRS/Surface-Waves/SAR/DELAYED/SENTINEL-1B/2019/06/IMOS_SRS-Surface-Waves_W_20190605T013934Z_Sentinel-1B_FV01_DM00_K2_END-20190605T231440Z.nc\n",
"Downloading IMOS_SRS-Surface-Waves_W_20190605T013934Z_Sentinel-1B_FV01_DM00_K2_END-20190605T231440Z.nc\n",
"https://s3-ap-southeast-2.amazonaws.com/imos-data/IMOS/SRS/Surface-Waves/SAR/DELAYED/SENTINEL-1B/2019/06/IMOS_SRS-Surface-Waves_W_20190608T001335Z_Sentinel-1B_FV01_DM00_K2_END-20190608T233930Z.nc\n",
"Downloading IMOS_SRS-Surface-Waves_W_20190608T001335Z_Sentinel-1B_FV01_DM00_K2_END-20190608T233930Z.nc\n",
"https://s3-ap-southeast-2.amazonaws.com/imos-data/IMOS/SRS/Surface-Waves/SAR/DELAYED/SENTINEL-1B/2019/06/IMOS_SRS-Surface-Waves_W_20190609T005616Z_Sentinel-1B_FV01_DM00_K2_END-20190609T192412Z.nc\n",
"Downloading IMOS_SRS-Surface-Waves_W_20190609T005616Z_Sentinel-1B_FV01_DM00_K2_END-20190609T192412Z.nc\n",
"https://s3-ap-southeast-2.amazonaws.com/imos-data/IMOS/SRS/Surface-Waves/SAR/DELAYED/SENTINEL-1B/2019/06/IMOS_SRS-Surface-Waves_W_20190610T014655Z_Sentinel-1B_FV01_DM00_K2_END-20190610T232303Z.nc\n",
"Downloading IMOS_SRS-Surface-Waves_W_20190610T014655Z_Sentinel-1B_FV01_DM00_K2_END-20190610T232303Z.nc\n",
"https://s3-ap-southeast-2.amazonaws.com/imos-data/IMOS/SRS/Surface-Waves/SAR/DELAYED/SENTINEL-1B/2019/06/IMOS_SRS-Surface-Waves_W_20190611T004123Z_Sentinel-1B_FV01_DM00_K2_END-20190611T235953Z.nc\n",
"Downloading IMOS_SRS-Surface-Waves_W_20190611T004123Z_Sentinel-1B_FV01_DM00_K2_END-20190611T235953Z.nc\n",
"https://s3-ap-southeast-2.amazonaws.com/imos-data/IMOS/SRS/Surface-Waves/SAR/DELAYED/SENTINEL-1B/2019/06/IMOS_SRS-Surface-Waves_W_20190612T000007Z_Sentinel-1B_FV01_DM00_K2_END-20190612T194843Z.nc\n",
"Downloading IMOS_SRS-Surface-Waves_W_20190612T000007Z_Sentinel-1B_FV01_DM00_K2_END-20190612T194843Z.nc\n",
"https://s3-ap-southeast-2.amazonaws.com/imos-data/IMOS/SRS/Surface-Waves/SAR/DELAYED/SENTINEL-1B/2019/06/IMOS_SRS-Surface-Waves_W_20190614T010335Z_Sentinel-1B_FV01_DM00_K2_END-20190614T224940Z.nc\n",
"Downloading IMOS_SRS-Surface-Waves_W_20190614T010335Z_Sentinel-1B_FV01_DM00_K2_END-20190614T224940Z.nc\n",
"https://s3-ap-southeast-2.amazonaws.com/imos-data/IMOS/SRS/Surface-Waves/SAR/DELAYED/SENTINEL-1B/2019/06/IMOS_SRS-Surface-Waves_W_20190615T000503Z_Sentinel-1B_FV01_DM00_K2_END-20190615T233119Z.nc\n",
"Downloading IMOS_SRS-Surface-Waves_W_20190615T000503Z_Sentinel-1B_FV01_DM00_K2_END-20190615T233119Z.nc\n",
"https://s3-ap-southeast-2.amazonaws.com/imos-data/IMOS/SRS/Surface-Waves/SAR/DELAYED/SENTINEL-1B/2019/06/IMOS_SRS-Surface-Waves_W_20190617T000002Z_Sentinel-1B_FV01_DM00_K2_END-20190617T231441Z.nc\n",
"Downloading IMOS_SRS-Surface-Waves_W_20190617T000002Z_Sentinel-1B_FV01_DM00_K2_END-20190617T231441Z.nc\n",
"https://s3-ap-southeast-2.amazonaws.com/imos-data/IMOS/SRS/Surface-Waves/SAR/DELAYED/SENTINEL-1B/2019/06/IMOS_SRS-Surface-Waves_W_20190620T001336Z_Sentinel-1B_FV01_DM00_K2_END-20190620T233931Z.nc\n",
"Downloading IMOS_SRS-Surface-Waves_W_20190620T001336Z_Sentinel-1B_FV01_DM00_K2_END-20190620T233931Z.nc\n",
"https://s3-ap-southeast-2.amazonaws.com/imos-data/IMOS/SRS/Surface-Waves/SAR/DELAYED/SENTINEL-1B/2019/06/IMOS_SRS-Surface-Waves_W_20190621T005617Z_Sentinel-1B_FV01_DM00_K2_END-20190621T192413Z.nc\n",
"Downloading IMOS_SRS-Surface-Waves_W_20190621T005617Z_Sentinel-1B_FV01_DM00_K2_END-20190621T192413Z.nc\n",
"https://s3-ap-southeast-2.amazonaws.com/imos-data/IMOS/SRS/Surface-Waves/SAR/DELAYED/SENTINEL-1B/2019/06/IMOS_SRS-Surface-Waves_W_20190622T035048Z_Sentinel-1B_FV01_DM00_K2_END-20190622T232303Z.nc\n",
"Downloading IMOS_SRS-Surface-Waves_W_20190622T035048Z_Sentinel-1B_FV01_DM00_K2_END-20190622T232303Z.nc\n",
"https://s3-ap-southeast-2.amazonaws.com/imos-data/IMOS/SRS/Surface-Waves/SAR/DELAYED/SENTINEL-1B/2019/06/IMOS_SRS-Surface-Waves_W_20190623T004124Z_Sentinel-1B_FV01_DM00_K2_END-20190623T235953Z.nc\n",
"Downloading IMOS_SRS-Surface-Waves_W_20190623T004124Z_Sentinel-1B_FV01_DM00_K2_END-20190623T235953Z.nc\n",
"https://s3-ap-southeast-2.amazonaws.com/imos-data/IMOS/SRS/Surface-Waves/SAR/DELAYED/SENTINEL-1B/2019/06/IMOS_SRS-Surface-Waves_W_20190624T000008Z_Sentinel-1B_FV01_DM00_K2_END-20190624T194843Z.nc\n",
"Downloading IMOS_SRS-Surface-Waves_W_20190624T000008Z_Sentinel-1B_FV01_DM00_K2_END-20190624T194843Z.nc\n",
"https://s3-ap-southeast-2.amazonaws.com/imos-data/IMOS/SRS/Surface-Waves/SAR/DELAYED/SENTINEL-1B/2019/06/IMOS_SRS-Surface-Waves_W_20190626T010335Z_Sentinel-1B_FV01_DM00_K2_END-20190626T193219Z.nc\n",
"Downloading IMOS_SRS-Surface-Waves_W_20190626T010335Z_Sentinel-1B_FV01_DM00_K2_END-20190626T193219Z.nc\n",
"https://s3-ap-southeast-2.amazonaws.com/imos-data/IMOS/SRS/Surface-Waves/SAR/DELAYED/SENTINEL-1B/2019/06/IMOS_SRS-Surface-Waves_W_20190627T000503Z_Sentinel-1B_FV01_DM00_K2_END-20190627T233119Z.nc\n",
"Downloading IMOS_SRS-Surface-Waves_W_20190627T000503Z_Sentinel-1B_FV01_DM00_K2_END-20190627T233119Z.nc\n",
"https://s3-ap-southeast-2.amazonaws.com/imos-data/IMOS/SRS/Surface-Waves/SAR/DELAYED/SENTINEL-1B/2019/07/IMOS_SRS-Surface-Waves_W_20190703T044511Z_Sentinel-1B_FV01_DM00_K2_END-20190703T192413Z.nc\n",
"Downloading IMOS_SRS-Surface-Waves_W_20190703T044511Z_Sentinel-1B_FV01_DM00_K2_END-20190703T192413Z.nc\n",
"https://s3-ap-southeast-2.amazonaws.com/imos-data/IMOS/SRS/Surface-Waves/SAR/DELAYED/SENTINEL-1B/2019/07/IMOS_SRS-Surface-Waves_W_20190704T035049Z_Sentinel-1B_FV01_DM00_K2_END-20190704T232304Z.nc\n",
"Downloading IMOS_SRS-Surface-Waves_W_20190704T035049Z_Sentinel-1B_FV01_DM00_K2_END-20190704T232304Z.nc\n",
"https://s3-ap-southeast-2.amazonaws.com/imos-data/IMOS/SRS/Surface-Waves/SAR/DELAYED/SENTINEL-1B/2019/07/IMOS_SRS-Surface-Waves_W_20190705T004125Z_Sentinel-1B_FV01_DM00_K2_END-20190705T235954Z.nc\n",
"Downloading IMOS_SRS-Surface-Waves_W_20190705T004125Z_Sentinel-1B_FV01_DM00_K2_END-20190705T235954Z.nc\n",
"https://s3-ap-southeast-2.amazonaws.com/imos-data/IMOS/SRS/Surface-Waves/SAR/DELAYED/SENTINEL-1B/2019/07/IMOS_SRS-Surface-Waves_W_20190706T000009Z_Sentinel-1B_FV01_DM00_K2_END-20190706T230623Z.nc\n",
"Downloading IMOS_SRS-Surface-Waves_W_20190706T000009Z_Sentinel-1B_FV01_DM00_K2_END-20190706T230623Z.nc\n",
"https://s3-ap-southeast-2.amazonaws.com/imos-data/IMOS/SRS/Surface-Waves/SAR/DELAYED/SENTINEL-1B/2019/07/IMOS_SRS-Surface-Waves_W_20190708T010336Z_Sentinel-1B_FV01_DM00_K2_END-20190708T224941Z.nc\n",
"Downloading IMOS_SRS-Surface-Waves_W_20190708T010336Z_Sentinel-1B_FV01_DM00_K2_END-20190708T224941Z.nc\n",
"https://s3-ap-southeast-2.amazonaws.com/imos-data/IMOS/SRS/Surface-Waves/SAR/DELAYED/SENTINEL-1B/2019/07/IMOS_SRS-Surface-Waves_W_20190709T000505Z_Sentinel-1B_FV01_DM00_K2_END-20190709T201315Z.nc\n",
"Downloading IMOS_SRS-Surface-Waves_W_20190709T000505Z_Sentinel-1B_FV01_DM00_K2_END-20190709T201315Z.nc\n",
"https://s3-ap-southeast-2.amazonaws.com/imos-data/IMOS/SRS/Surface-Waves/SAR/DELAYED/SENTINEL-1B/2019/07/IMOS_SRS-Surface-Waves_W_20190711T000003Z_Sentinel-1B_FV01_DM00_K2_END-20190711T231443Z.nc\n",
"Downloading IMOS_SRS-Surface-Waves_W_20190711T000003Z_Sentinel-1B_FV01_DM00_K2_END-20190711T231443Z.nc\n",
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"https://s3-ap-southeast-2.amazonaws.com/imos-data/IMOS/SRS/Surface-Waves/SAR/DELAYED/SENTINEL-1B/2019/06/IMOS_SRS-Surface-Waves_W_20190628T004903Z_Sentinel-1B_FV01_DM00_K2_END-20190628T191604Z.nc\n",
"Downloading IMOS_SRS-Surface-Waves_W_20190628T004903Z_Sentinel-1B_FV01_DM00_K2_END-20190628T191604Z.nc\n",
"https://s3-ap-southeast-2.amazonaws.com/imos-data/IMOS/SRS/Surface-Waves/SAR/DELAYED/SENTINEL-1A/2019/07/IMOS_SRS-Surface-Waves_W_20190711T023030Z_Sentinel-1A_FV01_DM00_K2_END-20190711T185151Z.nc\n",
"Downloading IMOS_SRS-Surface-Waves_W_20190711T023030Z_Sentinel-1A_FV01_DM00_K2_END-20190711T185151Z.nc\n",
"https://s3-ap-southeast-2.amazonaws.com/imos-data/IMOS/SRS/Surface-Waves/SAR/DELAYED/SENTINEL-1A/2019/07/IMOS_SRS-Surface-Waves_W_20190712T051352Z_Sentinel-1A_FV01_DM00_K2_END-20190712T210800Z.nc\n",
"Downloading IMOS_SRS-Surface-Waves_W_20190712T051352Z_Sentinel-1A_FV01_DM00_K2_END-20190712T210800Z.nc\n",
"https://s3-ap-southeast-2.amazonaws.com/imos-data/IMOS/SRS/Surface-Waves/SAR/DELAYED/SENTINEL-1B/2019/07/IMOS_SRS-Surface-Waves_W_20190722T004905Z_Sentinel-1B_FV01_DM00_K2_END-20190722T235949Z.nc\n",
"Downloading IMOS_SRS-Surface-Waves_W_20190722T004905Z_Sentinel-1B_FV01_DM00_K2_END-20190722T235949Z.nc\n",
"https://s3-ap-southeast-2.amazonaws.com/imos-data/IMOS/SRS/Surface-Waves/SAR/DELAYED/SENTINEL-1A/2019/07/IMOS_SRS-Surface-Waves_W_20190724T000004Z_Sentinel-1A_FV01_DM00_K2_END-20190724T193109Z.nc\n",
"Downloading IMOS_SRS-Surface-Waves_W_20190724T000004Z_Sentinel-1A_FV01_DM00_K2_END-20190724T193109Z.nc\n",
"https://s3-ap-southeast-2.amazonaws.com/imos-data/IMOS/SRS/Surface-Waves/SAR/DELAYED/SENTINEL-1A/2019/08/IMOS_SRS-Surface-Waves_W_20190816T004231Z_Sentinel-1A_FV01_DM00_K2_END-20190816T235951Z.nc\n",
"Downloading IMOS_SRS-Surface-Waves_W_20190816T004231Z_Sentinel-1A_FV01_DM00_K2_END-20190816T235951Z.nc\n",
"https://s3-ap-southeast-2.amazonaws.com/imos-data/IMOS/SRS/Surface-Waves/SAR/DELAYED/SENTINEL-1A/2019/08/IMOS_SRS-Surface-Waves_W_20190828T023033Z_Sentinel-1A_FV01_DM00_K2_END-20190828T185154Z.nc\n",
"Downloading IMOS_SRS-Surface-Waves_W_20190828T023033Z_Sentinel-1A_FV01_DM00_K2_END-20190828T185154Z.nc\n",
"https://s3-ap-southeast-2.amazonaws.com/imos-data/IMOS/SRS/Surface-Waves/SAR/DELAYED/SENTINEL-1A/2019/06/IMOS_SRS-Surface-Waves_W_20190630T000003Z_Sentinel-1A_FV01_DM00_K2_END-20190630T230636Z.nc\n",
"Downloading IMOS_SRS-Surface-Waves_W_20190630T000003Z_Sentinel-1A_FV01_DM00_K2_END-20190630T230636Z.nc\n",
"https://s3-ap-southeast-2.amazonaws.com/imos-data/IMOS/SRS/Surface-Waves/SAR/DELAYED/SENTINEL-1A/2019/06/IMOS_SRS-Surface-Waves_W_20190604T000011Z_Sentinel-1A_FV01_DM00_K2_END-20190604T232243Z.nc\n",
"Downloading IMOS_SRS-Surface-Waves_W_20190604T000011Z_Sentinel-1A_FV01_DM00_K2_END-20190604T232243Z.nc\n",
"https://s3-ap-southeast-2.amazonaws.com/imos-data/IMOS/SRS/Surface-Waves/SAR/DELAYED/SENTINEL-1A/2019/08/IMOS_SRS-Surface-Waves_W_20190829T051355Z_Sentinel-1A_FV01_DM00_K2_END-20190829T180555Z.nc\n",
"Downloading IMOS_SRS-Surface-Waves_W_20190829T051355Z_Sentinel-1A_FV01_DM00_K2_END-20190829T180555Z.nc\n"
]
}
],
"source": [
"data_path = '/tmp/sar_data'\n",
"# if done via the Geoserver method\n",
"# download_list_netcdf_from_wms_output(nc_url_list[0:40], data_path) # we limit the download to n files for a faster example\n",
"download_list_netcdf_from_wms_output(nc_url_list, data_path) \n",
"\n",
"# if done via the portal\n",
"# nc_url_list_path = \"path/to/downloaded/text/file\"\n",
"# download_list_netcdf_from_text_file_(nc_url_list_path, data_path) "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 3. Load the NetCDF files into an xarray dataset"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/lbesnard/anaconda3/envs/data_services3.5/lib/python3.5/site-packages/ipykernel_launcher.py:3: FutureWarning: In xarray version 0.14 the default behaviour of `open_mfdataset`\n",
"will change. To retain the existing behavior, pass\n",
"combine='nested'. To use future default behavior, pass\n",
"combine='by_coords'. See\n",
"http://xarray.pydata.org/en/stable/combining.html#combining-multi\n",
"\n",
" This is separate from the ipykernel package so we can avoid doing imports until\n",
"/home/lbesnard/anaconda3/envs/data_services3.5/lib/python3.5/site-packages/xarray/backends/api.py:934: FutureWarning: The datasets supplied have global dimension coordinates. You may want\n",
"to use the new `combine_by_coords` function (or the\n",
"`combine='by_coords'` option to `open_mfdataset`) to order the datasets\n",
"before concatenation. Alternatively, to continue concatenating based\n",
"on the order the datasets are supplied in future, please use the new\n",
"`combine_nested` function (or the `combine='nested'` option to\n",
"open_mfdataset).\n",
" from_openmfds=True,\n"
]
}
],
"source": [
"import xarray as xr\n",
"\n",
"ds_nc_sar_multi = xr.open_mfdataset(paths=os.path.join(data_path, '*.nc'), engine='netcdf4')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 3. Plot a windrose from all the NetCDF files"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"from matplotlib import pyplot as plt\n",
"import matplotlib.cm as cm\n",
"from windrose import WindroseAxes\n",
"import numpy as np\n",
"\n",
"# The individual NetCDF files are satellite trajectories, \n",
"# hence contain more geographical extent that filtered via\n",
"# Geoserver or the AODN portal\n",
"degree_offset = 5 # add an offset to get more data around the bbox (this is an example only)\n",
"xr_bbox_clause = (ds_nc_sar_multi.LATITUDE >= lat_min - degree_offset) & \\\n",
" (ds_nc_sar_multi.LATITUDE <= lat_max + degree_offset) & \\\n",
" (ds_nc_sar_multi.LONGITUDE >= lon_min -degree_offset ) & \\\n",
" (ds_nc_sar_multi.LONGITUDE <= lon_max + degree_offset)\n",
"\n",
"wdir_ecmwf = ds_nc_sar_multi.where(xr_bbox_clause, drop=True).WDIR_ECMWF.values\n",
"wspd_ecmwf = ds_nc_sar_multi.where(xr_bbox_clause, drop=True).WSPD_ECMWF.values\n",
"\n",
"ws = wspd_ecmwf\n",
"wd = wdir_ecmwf"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Figure size 432x288 with 0 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 640x640 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig1 = plt.figure()\n",
"ax = WindroseAxes.from_ax()\n",
"\n",
"# the bin corresponds to the range of speed in m.s-1\n",
"#ax.contourf(wd, ws,normed=True, bins=np.arange(0, np.nanmax(ws), 2), cmap=cm.hot)\n",
"ax.bar(wd, ws, normed=True, bins=np.arange(0, np.nanmax(ws), 2), opening=0.8, edgecolor='white')\n",
"ax.set_legend(title=\"speed in m.s-1\")\n",
"\n",
"time_str = ds_nc_sar_multi.TIME.dt.strftime('%Y-%m-%d')\n",
"bbx_str = [[lat_min - degree_offset, lat_max + degree_offset], [lon_min - degree_offset, lon_max + degree_offset]]\n",
"ax.set_title('Wind rose on the West Tasmania between {start} -> {end}\\n. {location}'.format(\n",
" start=time_str.min().values.astype(str),\n",
" end=time_str.max().values.astype(str),\n",
" location=str(bbx_str)))\n",
"plt.show()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.5.6"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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