m1t9

package ReaderWriter;

import java.io.*;
import java.util.ArrayList;

public class BlnRewrite {

    static ArrayList<String[][]> data;

    protected static ArrayList<String[][]> readData(String fileName) throws IOException {

m1t9

Create meteorological input files from netCDF for hydrometeorological 3d model Delft3d by Deltares

AVIABLE FUNCTIONS: DISPLAY INFORMATION ABOUT INPUT NETCDF FILE AND AVIABLE DATA READ DATA FROM NC FILE USING NETCDF4 PYTHON LIBRARY CREATE INPUT FILES OF METEOROLOGICAL (OPTIONALY) DATA FOR DELTARES DELFT3D MODEL IN PROPER FORMAT

AVIABLE METEO FILES DATA UNITS: AIR TEMPERATURE (2 METER UNDER WATER SURFACE) (.AMT)

m1t9

# 
# m1t9 06-09-2017
# 
# AVIABLE FUNCTIONS:
# DISPLAY INFORMATION ABOUT INPUT NETCDF FILE AND AVIABLE DATA
# READ DATA FROM NC FILE USING NETCDF4 PYTHON LIBRARY
# CREATE INPUT FILES OF METEOROLOGICAL (OPTIONALY) DATA FOR DELTARES DELFT3D MODEL IN PROPER FORMAT
# 
# AVIABLE METEO FILES DATA UNITS:
# AIR TEMPERATURE (2 METER UNDER WATER SURFACE) (.AMT)

m1t9

# 
# m1t9 23-10-2017
# 
# PRINT COORDINATES OF GRID POINTS GENERATED FROM DELTARES RGRFGRID TO DATA FILE THAT
# CONTAIN TWO COLOMNS OF LATITUDE AND LONGITUDE
# 
# INPUT: GRID FILE (.GRD) CREATED BY USING DELTARES RGRFGRID
# SEE MORE INFORMATION IN DELFT3D DOCUMENTATION OR .GRD SAMPLE
# 

m1t9

# 
# m1t9 29-01-2018
# 
# DISTRIBUTION VELOCITY ANGLES TO RUMBS
# INPUT FILE STRUCTURE CONTAIN ONE COLOMN OF ANGLES
# 

import numpy as np
import sys

m1t9

import numpy as np
from netCDF4 import Dataset
import sys

# create .grd file

xpc = 31.0
ypc = 71.0
xlenc = 18
ylenc = 9

m1t9

create U- V- wind and pressure files for space varying distribution data

import sys
import numpy as np
from netCDF4 import Dataset

print('\nstart read .nc file\n')

# sys.stdout.write('-'+key+' ')

m1t9

READ NETCDF FILES

This script reads netCDF files. NetCDF (Network Common Data Form) is a set of software libraries and self-describing, machine-independent data formats that support the creation, access, and sharing of array-oriented scientific data.

from netCDF4 import Dataset
import numpy as np
import sys

print('\nStart...\n')

m1t9

!Model of migration of krill in Scotia sea (date 2000)
!The first approximation
!Pleshanov D. A. 05.2015
program Migrationofkrillmodel

use ifport
implicit none

integer nDay,ix,jy,kz,i1,n1,nt,i,j,iday,k,iitime,zz
integer ix1,ix2,jy1,jy2,kz1,kz2

m1t9

from netCDF4 import Dataset as dt
import numpy as np

fileID = 'dat_3.nc'
ncfile = dt(fileID, 'r')
# print(ncfile.variables)
# np array -> int16 u10(time, latitude, longitude)

lat = np.array(ncfile.variables['latitude'][:], dtype=np.float32) #  x
long = np.array(ncfile.variables['longitude'][:], dtype=np.float32) #  y