63 lines
1.6 KiB
Python
63 lines
1.6 KiB
Python
import argparse
|
|
import configparser
|
|
import logging
|
|
import pathlib
|
|
|
|
import matplotlib.pyplot as plt
|
|
import numpy as np
|
|
from scipy import interpolate
|
|
|
|
from .lambert import Lambert
|
|
|
|
parser = argparse.ArgumentParser(description="Pre-process bathymetry")
|
|
parser.add_argument("-v", "--verbose", action="count", default=0)
|
|
args = parser.parse_args()
|
|
|
|
logging.basicConfig(level=max((10, 20 - 10 * args.verbose)))
|
|
log = logging.getLogger("bathy")
|
|
|
|
log.info("Starting bathymetry pre-processing")
|
|
config = configparser.ConfigParser()
|
|
config.read("config.ini")
|
|
|
|
bathy_inp = pathlib.Path(config.get("bathy", "sub"))
|
|
bathy_out = pathlib.Path(config.get("bathy", "out"))
|
|
|
|
log.info(f"Loading bathymetry from {bathy_inp}")
|
|
bathy_curvi = np.load(bathy_inp)
|
|
|
|
projection = Lambert()
|
|
bathy = np.stack(
|
|
(
|
|
*projection.cartesian(bathy_curvi[:, 0], bathy_curvi[:, 1]),
|
|
bathy_curvi[:, 2],
|
|
),
|
|
axis=1,
|
|
)
|
|
log.debug(f"Cartesian bathy: {bathy}")
|
|
|
|
artha_curvi = np.array(
|
|
(config.getfloat("artha", "lon"), config.getfloat("artha", "lat"))
|
|
)
|
|
buoy_curvi = np.array(
|
|
(config.getfloat("buoy", "lon"), config.getfloat("buoy", "lat"))
|
|
)
|
|
|
|
artha = np.asarray(projection.cartesian(*artha_curvi))
|
|
buoy = np.asarray(projection.cartesian(*buoy_curvi))
|
|
|
|
D = np.diff(np.stack((artha, buoy)), axis=0)
|
|
x = np.arange(
|
|
-150,
|
|
np.sqrt((D**2).sum()) + 150,
|
|
config.getfloat("bathy", "step", fallback=1),
|
|
)
|
|
theta = np.angle(D.dot((1, 1j)))
|
|
|
|
coords = artha + (x * np.stack((np.cos(theta), np.sin(theta)))).T
|
|
|
|
log.info("Interpolating bathymetry in 1D")
|
|
z = interpolate.griddata(bathy[:, :2], bathy[:, 2], coords)
|
|
log.debug(z)
|
|
|
|
|