From 7e6708027d5fa194c69c0503fe3b27efb31773fd Mon Sep 17 00:00:00 2001 From: Filippo Dainelli Date: Tue, 12 Sep 2023 11:47:03 +0200 Subject: [PATCH] fixed stormIdentifier drop condition --- .../data/ibtracs.ACTIVE.list.v04r00.csv | 695 +++++++++++++++++- .../data/tracks/20230906.bufr | Bin 0 -> 660108 bytes .../data/tracks/20230908.bufr | Bin 0 -> 776865 bytes .../data/tracks/20230912.bufr | Bin 0 -> 581776 bytes notebooks-examples-trials/tracks_utils.py | 6 +- .../trials/download_data.ipynb | 619 +++++++++++++++- .../trials/track_data/20230912.bufr | Bin 0 -> 581776 bytes 7 files changed, 1305 insertions(+), 15 deletions(-) create mode 100644 notebooks-examples-trials/data/tracks/20230906.bufr create mode 100644 notebooks-examples-trials/data/tracks/20230908.bufr create mode 100644 notebooks-examples-trials/data/tracks/20230912.bufr create mode 100644 notebooks-examples-trials/trials/track_data/20230912.bufr diff --git a/notebooks-examples-trials/data/ibtracs.ACTIVE.list.v04r00.csv b/notebooks-examples-trials/data/ibtracs.ACTIVE.list.v04r00.csv index 8a4c33a0..cf1f7922 100644 --- a/notebooks-examples-trials/data/ibtracs.ACTIVE.list.v04r00.csv +++ b/notebooks-examples-trials/data/ibtracs.ACTIVE.list.v04r00.csv @@ -1,8 +1,687 @@ - - -403 Forbidden - -

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You don't have permission to access /data/international-best-track-archive-for-climate-stewardship-ibtracs/v04r00/access/csv/ibtracs.ACTIVE.list.v04r00.csv -on this server.

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""" # Load cyclone dataframe with Mean sea level pressure value - # df_storms = pdbufr.read_bufr('data/tc_test_track_data.bufr', df_storms = pdbufr.read_bufr(f"data/tracks/{start_date.strftime('%Y%m%d')}.bufr", columns=("stormIdentifier", "longStormName", "ensembleMemberNumber", "year", "month", "day", "hour", "latitude", "longitude", "pressureReducedToMeanSeaLevel")) # Load cyclone dataframe with Wind speed at 10m value - # df1 = pdbufr.read_bufr('data/tc_test_track_data.bufr', df1 = pdbufr.read_bufr(f"data/tracks/{start_date.strftime('%Y%m%d')}.bufr", columns=("stormIdentifier", "longStormName", "ensembleMemberNumber", "latitude", "longitude", "windSpeedAt10M")) @@ -97,8 +95,8 @@ def create_storms_df(start_date): # Add the Wind speed at 10m column adn the timePeriod column to the storms dataframe df_storms["windSpeedAt10M"] = df1.windSpeedAt10M df_storms["timePeriod"] = timeperiod - # Storms with number higher than 10 are not real storms (according to what Fernando said) - drop_condition = df_storms.stormIdentifier < '11' + # Storms with stormIdentifier higher than 70 are not real storms + drop_condition = df_storms.stormIdentifier < '70' df_storms = df_storms[drop_condition] return df_storms diff --git a/notebooks-examples-trials/trials/download_data.ipynb b/notebooks-examples-trials/trials/download_data.ipynb index 70b92417..ae201941 100644 --- a/notebooks-examples-trials/trials/download_data.ipynb +++ b/notebooks-examples-trials/trials/download_data.ipynb @@ -2,12 +2,625 @@ "cells": [ { "cell_type": "code", - "execution_count": 23, + "execution_count": 5, "id": "52eddcd5", "metadata": {}, "outputs": [], "source": [ - "from ecmwf.opendata import Client" + "from ecmwf.opendata import Client\n", + "import pdbufr\n", + "from datetime import datetime, timedelta\n", + "import os" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "7e5c1cc6-4531-485d-98bb-fdfe7928a613", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2023-09-12 11:24:59.578245\n" + ] + } + ], + "source": [ + "start_date = datetime.now()\n", + "print(start_date)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "34f60a28-af84-420a-b154-3653d34b8ec6", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "20230912000000-240h-enfo-tf.bufr: 0%| | 0.00/568k [00:00\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
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      \n", + "" + ], + "text/plain": [ + " stormIdentifier longStormName ensembleMemberNumber year month day hour \\\n", + "0 13L LEE 1 2023 9 12 0 \n", + "1 13L LEE 1 2023 9 12 0 \n", + "2 13L LEE 1 2023 9 12 0 \n", + "3 13L LEE 1 2023 9 12 0 \n", + "4 13L LEE 1 2023 9 12 0 \n", + "\n", + " latitude longitude pressureReducedToMeanSeaLevel \n", + "0 23.7 -64.5 93400.0 \n", + "1 23.9 -65.2 93600.0 \n", + "2 24.0 -65.7 93300.0 \n", + "3 24.4 -65.9 93700.0 \n", + "4 24.7 -66.2 93100.0 " + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_storms.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "48688f33-d3d7-479a-827a-d2c7bdf9f1c7", + "metadata": {}, + "outputs": [], + "source": [ + "def download_tracks_forecast(start_date):\n", + " \"\"\"\n", + " Downloads the forecast of the tropical cyclone tracks from ECMWF's open data dataset azure\n", + " and saves them in a bufr file \"data/tracks/{date of the forecast}.bufr\".\n", + " If today's forecast is not available yet, it downloads yesterday's forecast.\n", + " \n", + " start_date: datetime object\n", + " Day of the forecast of which the data want to be downloaded\n", + "\n", + " Returns:\n", + " start_date: datetime object\n", + " Day of the forecast of which the data have been downloaded\n", + " \"\"\"\n", + " # Check if the file already exists\n", + " if os.path.exists(f\"track_data/{start_date.strftime('%Y%m%d')}.bufr\"):\n", + " return start_date\n", + " else:\n", + " client = Client(source=\"azure\")\n", + " try:\n", + " client.retrieve(\n", + " date=int(start_date.strftime(\"%Y%m%d\")),\n", + " time=0,\n", + " stream=\"enfo\",\n", + " type=\"tf\",\n", + " step=240,\n", + " target=f\"track_data/{start_date.strftime('%Y%m%d')}.bufr\",\n", + " );\n", + " return start_date\n", + " # Usually early in the morning the forecast of the current day is not available\n", + " except:\n", + " start_date = start_date - timedelta(days=1)\n", + " client.retrieve(\n", + " date=int(start_date.strftime(\"%Y%m%d\")),\n", + " time=0,\n", + " stream=\"enfo\",\n", + " type=\"tf\",\n", + " step=240,\n", + " target=f\"track_data/{start_date.strftime('%Y%m%d')}.bufr\",\n", + " );\n", + " return start_date\n", + "\n", + "def create_storms_df(start_date):\n", + " \"\"\"\n", + " Creates a dataframe containing data of the cyclone tracks starting from the forecast file\n", + " \"data/tc_track_data_{date of the forecast}.bufr\".\n", + "\n", + " start_date: datetime object\n", + " Day of the forecast of the data selected by user\n", + " \n", + " Returns:\n", + " df_storms: pandas DataFrame\n", + " Dataframe containing the forecast data for the active cyclones.\n", + " \"\"\"\n", + " # Load cyclone dataframe with Mean sea level pressure value\n", + " # df_storms = pdbufr.read_bufr('data/tc_test_track_data.bufr',\n", + " df_storms = pdbufr.read_bufr(f\"track_data/{start_date.strftime('%Y%m%d')}.bufr\",\n", + " columns=(\"stormIdentifier\", \"longStormName\", \"ensembleMemberNumber\", \"year\", \"month\", \"day\", \"hour\", \"latitude\", \"longitude\",\n", + " \"pressureReducedToMeanSeaLevel\"))\n", + " # Load cyclone dataframe with Wind speed at 10m value\n", + " # df1 = pdbufr.read_bufr('data/tc_test_track_data.bufr',\n", + " df1 = pdbufr.read_bufr(f\"track_data/{start_date.strftime('%Y%m%d')}.bufr\",\n", + " columns=(\"stormIdentifier\", \"longStormName\", \"ensembleMemberNumber\", \"latitude\", \"longitude\",\n", + " \"windSpeedAt10M\"))\n", + " # Build the dataframe with the timeperiod column\n", + " timeperiod = []\n", + " start_date = datetime(df_storms.year[0], df_storms.month[0], df_storms.day[0], df_storms.hour[0])\n", + " for cyclone in df_storms.stormIdentifier.unique():\n", + " df_cyclone = df_storms[df_storms.stormIdentifier == cyclone]\n", + " df_cyclone.reset_index(inplace=True, drop=True)\n", + " members = df_cyclone.ensembleMemberNumber.unique()\n", + " for member in members:\n", + " df_track = df_cyclone[df_cyclone.ensembleMemberNumber == member]\n", + " for i in range(len(df_track)):\n", + " timeperiod.append(6 * (i+1))\n", + " # Add the Wind speed at 10m column adn the timePeriod column to the storms dataframe \n", + " df_storms[\"windSpeedAt10M\"] = df1.windSpeedAt10M\n", + " df_storms[\"timePeriod\"] = timeperiod\n", + " # Storms with number higher than 10 are not real storms (according to what Fernando said)\n", + " drop_condition = df_storms.stormIdentifier < '70'\n", + " df_storms = df_storms[drop_condition]\n", + " return df_storms" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "76c33c52-e1be-4a19-ad3b-131b19ac7baa", + "metadata": {}, + "outputs": [], + "source": [ + "download_tracks_forecast(start_date)\n", + "df_storms = create_storms_df(start_date)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "16c23fc5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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      " + ], + "text/plain": [ + " stormIdentifier longStormName ensembleMemberNumber year month day hour \\\n", + "0 13L LEE 1 2023 9 12 0 \n", + "1 13L LEE 1 2023 9 12 0 \n", + "2 13L LEE 1 2023 9 12 0 \n", + "3 13L LEE 1 2023 9 12 0 \n", + "4 13L LEE 1 2023 9 12 0 \n", + "\n", + " latitude longitude pressureReducedToMeanSeaLevel windSpeedAt10M \\\n", + "0 23.7 -64.5 93400.0 58.7 \n", + "1 23.9 -65.2 93600.0 49.9 \n", + "2 24.0 -65.7 93300.0 48.4 \n", + "3 24.4 -65.9 93700.0 46.8 \n", + "4 24.7 -66.2 93100.0 45.3 \n", + "\n", + " timePeriod \n", + "0 6 \n", + "1 12 \n", + "2 18 \n", + "3 24 \n", + "4 30 " + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_storms.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "ae4e31f5", + "metadata": {}, + "outputs": [], + "source": [ + "df_storms = pdbufr.read_bufr(f\"track_data/{start_date.strftime('%Y%m%d')}.bufr\",\n", + " columns=(\"stormIdentifier\", \"longStormName\", \"ensembleMemberNumber\", \"year\", \"month\", \"day\", \"hour\", \"latitude\", \"longitude\",\n", + " \"pressureReducedToMeanSeaLevel\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "ea7dad7e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['13L' '14L' '70W' '71W' '72W' '73W' '74W' '75W' '76W' '70E' '71E' '72E'\n", + " '73E' '74E' '70L' '71L' '72L' '73L' '74L' '75L' '76L' '70C' '71C' '72C'\n", + " '70A' '71A' '72A' '73A' '70B' '71B' '72B' '73B' '70S' '71S' '70U' '71U'\n", + " '70P' '71P' '72P']\n" + ] + }, + { + "data": { + "text/html": [ + "
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      192414LMARGOT12023912027.3-39.899000.0
      192514LMARGOT12023912028.9-39.898700.0
      192614LMARGOT12023912030.0-39.898800.0
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      " + ], + "text/plain": [ + " stormIdentifier longStormName ensembleMemberNumber year month day \\\n", + "1924 14L MARGOT 1 2023 9 12 \n", + "1925 14L MARGOT 1 2023 9 12 \n", + "1926 14L MARGOT 1 2023 9 12 \n", + "1927 14L MARGOT 1 2023 9 12 \n", + "1928 14L MARGOT 1 2023 9 12 \n", + "\n", + " hour latitude longitude pressureReducedToMeanSeaLevel \n", + "1924 0 27.3 -39.8 99000.0 \n", + "1925 0 28.9 -39.8 98700.0 \n", + "1926 0 30.0 -39.8 98800.0 \n", + "1927 0 31.5 -40.1 98500.0 \n", + "1928 0 32.5 -40.8 98500.0 " + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "print(df_storms.stormIdentifier.unique())\n", + "prova = df_storms[df_storms.stormIdentifier == '14L']\n", + "prova.head()" ] }, { @@ -135,7 +748,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.4" + "version": "3.11.5" } }, "nbformat": 4, diff --git 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