Hazard Winds

from datetime import datetime

print("execution start: {0}".format(datetime.today().strftime('%Y-%m-%d %H:%M:%S')))

execution start: 2022-09-02 23:58:09

import os
import os.path as op
import sys

import pandas as pd
import numpy as np
import xarray as xr

# raster tools
from rasterio.crs import CRS
import json
import rioxarray

# kepler 
from keplergl import KeplerGl

# bluemath 
sys.path.insert(0, op.join(op.abspath(''), '..', '..'))
sys.path.insert(0, op.join(op.abspath(''), '..'))

# operational utils
from operational.util import read_config_args

Warning: ecCodes 2.21.0 or higher is recommended. You are running version 2.16.0

Forecast Parameters

# project database
p_data = r'/media/administrador/HD2/SamoaTonga/data'
p_db = r'/media/administrador/HD1/DATABASES'

#site = 'Upolu'  # Savaii / Upolu / Tongatapu

# (optional) get site from config file
nb_args = read_config_args(op.abspath(''), '10b_hazard')
site = nb_args['site']

print('Study site: {0}'.format(site))

Study site: Upolu

# site related parameteres
if site == 'Savaii':
    
    # reforecast track
    n, tc_name = 166, 'amos' # AMOS 2016
    tif_fn = 'hr_FINAL_track_AMOS_lonlat.tif'
    
elif site == 'Upolu':
    
    # reforecast track
    n, tc_name = 166, 'amos' # AMOS 2016
    tif_fn = 'hr_FINAL_track_AMOS_lonlat.tif'

elif site == 'Tongatapu':
    
    # reforecast track
    n, tc_name = 180, 'gita'
    tif_fn = 'hr_FINAL_track_GITA_lonlat.tif'

Database

p_site = op.join(p_data, site)

# riskscape folder
p_riskscape = op.join(p_data, 'riskscape_projects')
p_riskscape_site = op.join(p_riskscape, site)

# kepler config files
p_kepler_config = op.join(p_riskscape_site, 'config_files', 'config_hazard_rain_{0}.json'.format(site.lower()))

Reforecast

date = 'reforecast_{0}'.format(tc_name) 

print('forecast execution: {0}'.format(date))

forecast execution: reforecast_amos

Forecast Output Folder

p_forecast = op.join(p_site, 'forecast', '10_wind_damage')

# forecast folder
p_fore_date = op.join(p_forecast, date)
print('forecast date code: {0}'.format(date))

forecast date code: reforecast_amos

# tc forecast
p_fore_tc = op.join(p_fore_date, tc_name + '_forecast')

# wind hazard files
p_final_track_tif = op.join(p_fore_tc, 'hr_FINAL_track_{0}_lonlat.tif'.format(tc_name))

Hazard Winds

data_sim = xr.open_rasterio(p_final_track_tif).rename('z') # this is the wind

data_sim_84 = data_sim.copy()
data_sim_84 = data_sim_84.where((data_sim_84>=0.2) & (data_sim_84<=100))

df_sim_84 = data_sim_84.to_dataframe().reset_index().dropna()\
    .rename(columns={'x':'Lon', 'y':'Lat'}).drop(columns=['band'])

Plot Hazard - SWATH winds

a_file = open(p_kepler_config, "rb")
config_winds = json.load(a_file)

# Hazard - flooding depth
map_1 = KeplerGl(height=700, data={"Winds - SWATH": df_sim_84}, config=config_winds, show_docs=False)
map_1

print("execution end: {0}".format(datetime.today().strftime('%Y-%m-%d %H:%M:%S')))

execution end: 2022-09-02 23:58:11