def linearInterpolation(grd0, grid):
if (grd0 is None): return None
grd1 = grd0.copy()
if (grd0.dlon * grd0.nlon >= 360):
grd1 = bd.grid_data(
bd.grid(grd0.slon, grd0.dlon, grd0.elon + grd0.dlon, grd0.slat,
grd0.dlat, grd0.elat))
grd1.dat[:, 0:-1] = grd0.dat[:, :]
grd1.dat[:, grd0.nlon] = grd0.dat[:, 0]
grd2 = bd.grid_data(grid)
if (grd2.elon > grd1.elon or grd2.slon < grd1.slon or grd2.elat > grd1.elat
or grd2.slat < grd1.slat):
print("object grid is out range of original grid")
grd2.dat = bd.IV
return
x = ((np.arange(grd2.nlon) * grd2.dlon + grd2.slon - grd1.slon) /
grd1.dlon)
ig = x[:].astype(dtype='int16')
dx = x - ig
y = (np.arange(grd2.nlat) * grd2.dlat + grd2.slat - grd1.slat) / grd1.dlat
jg = y[:].astype(dtype='int16')
dy = y[:] - jg
ii, jj = np.meshgrid(ig, jg)
ii1 = np.minimum(ii + 1, grd1.nlon - 1)
jj1 = np.minimum(jj + 1, grd1.nlat - 1)
ddx, ddy = np.meshgrid(dx, dy)
c00 = (1 - ddx) * (1 - ddy)
c01 = ddx * (1 - ddy)
c10 = (1 - ddx) * ddy
c11 = ddx * ddy
grd2.dat = (c00 * grd1.dat[jj, ii] + c10 * grd1.dat[jj1, ii] +
c01 * grd1.dat[jj, ii1] + c11 * grd1.dat[jj1, ii1])
return grd2
def cubicInterpolation(grd1, grid):
if (grd1 is None): return None
grd2 = bd.grid_data(grid)
if (grd2.elon > grd1.elon or grd2.slon < grd1.slon or grd2.elat > grd1.elat
or grd2.slat < grd1.slat):
grd2.dat = bd.IV
return
x = ((np.arange(grd2.nlon) * grd2.dlon + grd2.slon - grd1.slon) /
grd1.dlon)
ig = x[:].astype(dtype='int16')
dx = x - ig
y = (np.arange(grd2.nlat) * grd2.dlat + grd2.slat - grd1.slat) / grd1.dlat
jg = y[:].astype(dtype='int16')
dy = y[:] - jg
ii, jj = np.meshgrid(ig, jg)
for p in range(-1, 3, 1):
iip = np.minimum(np.maximum(ii + p, 0), grd1.nlon - 1)
fdx = cubic_f(p, dx)
for q in range(-1, 3, 1):
jjq = np.minimum(np.maximum(jj + q, 0), grd1.nlat - 1)
fdy = cubic_f(q, dy)
fdxx, fdyy = np.meshgrid(fdx, fdy)
fdxy = fdxx * fdyy
grd2.dat += fdxy * grd1.dat[jjq, iip]
return grd2
def read_grd_array_by_ctl(filename,ctl = None,endian = None):
if ctl is None:
if os.path.exists(filename):
ctl = read_ctl(filename)
return read_grd_array_by_ctl(ctl.data_path,ctl)
else:
if os.path.exists(filename):
if(endian is None):
data = np.fromfile(filename, dtype='f')
else:
data = np.fromfile(filename, dtype='>f')
data = data.reshape(ctl.nvar, ctl.nensemble, ctl.ntime, ctl.nlevel, ctl.nlat, ctl.nlon)
#print(data.shape)
grid = bd.grid(ctl.slon, ctl.dlon, ctl.elon, ctl.slat, ctl.dlat, ctl.elat)
arr = [[[[] for t in range(ctl.ntime)] for n in range(ctl.nensemble)] for v in range(ctl.nvar)]
for v in range(ctl.nvar):
for n in range(ctl.nensemble):
for t in range(ctl.ntime):
for z in range(ctl.nlevel):
grd = bd.grid_data(grid)
grd.dat = data[v, n, t, z, :, :]
grd.reset()
arr[v][n][t].append(grd)
return arr
return None
def read_from_gds_file(filename,grid = None):
print("a")
try:
if not os.path.exists(filename):
print(filename + " is not exist")
return None
file = open(filename, 'rb')
byteArray = file.read()
discriminator = struct.unpack("4s", byteArray[:4])[0].decode("gb2312")
t = struct.unpack("h", byteArray[4:6])
mName = struct.unpack("20s", byteArray[6:26])[0].decode("gb2312")
eleName = struct.unpack("50s", byteArray[26:76])[0].decode("gb2312")
description = struct.unpack("30s", byteArray[76:106])[0].decode("gb2312")
level, y, m, d, h, timezone, period = struct.unpack("fiiiiii", byteArray[106:134])
startLon, endLon, lonInterval, lonGridCount = struct.unpack("fffi", byteArray[134:150])
startLat, endLat, latInterval, latGridCount = struct.unpack("fffi", byteArray[150:166])
isolineStartValue, isolineEndValue, isolineInterval = struct.unpack("fff", byteArray[166:178])
gridCount = lonGridCount * latGridCount
description = mName.rstrip('\x00') + '_' + eleName.rstrip('\x00') + "_" + str(
level) + '(' + description.rstrip('\x00') + ')' + ":" + str(period)
if (gridCount == (len(byteArray) - 278) / 4):
if (startLat > 90): startLat = 90.0
if (startLat < -90): startLat = -90.0
if (endLat > 90): endLat = 90.0
if (endLat < -90): endLat = -90.0
grd = bd.grid_data(bd.grid(startLon, lonInterval, endLon, startLat, latInterval, endLat))
grd.dat = np.frombuffer(byteArray[278:], dtype='float32').reshape(grd.nlat, grd.nlon)
grd.reset()
if (grid is None):
return grd
else:
return bt.ggf.linearInterpolation(grd, grid)
except Exception as e:
print(e)
return None
def explain_awx_bytes(byteArray):
sat96 = struct.unpack("12s", byteArray[:12])[0]
levl = np.frombuffer(byteArray[12:30], dtype='int16').astype(dtype = "int32")
formatstr = struct.unpack("8s", byteArray[30:38])[0]
qualityflag = struct.unpack("h", byteArray[38:40])[0]
satellite = struct.unpack("8s", byteArray[40:48])[0]
lev2 = np.frombuffer(byteArray[48:104], dtype='int16').astype(dtype = "int32")
recordlen = levl[4]
headnum = levl[5]
datanum = levl[6]
timenum =lev2[0:5]
nlon = lev2[7]
nlat = lev2[8]
range =lev2[12:16].astype("float32")
slat = range[0]/100
elat = range[1]/100
slon = range[2]/100
elon = range[3]/100
#nintels=lev2[20:22].astype("float32")
dlon = (elon - slon) / (nlon-1)
dlat = (elat - slat) / (nlat-1)
grd = bd.grid_data(bd.grid(slon, dlon, elon, slat, dlat, elat))
colorlen = lev2[24]
caliblen = lev2[25]
geololen = lev2[26]
#print(levl)
#print(lev2)
head_lenght = headnum * recordlen
data_lenght = datanum * recordlen
#print(head_lenght + data_lenght)
#print( data_lenght)
#print(grd.nlon * grd.nlat)
#headrest = np.frombuffer(byteArray[:head_lenght], dtype='int8')
data_awx = np.frombuffer(byteArray[head_lenght:(head_lenght+data_lenght)], dtype='int8')
#print(headrest)
if colorlen<=0:
calib = np.frombuffer(byteArray[104:(104+2048)], dtype='int16').astype(dtype="float32")
else:
#color = np.frombuffer(byteArray[104:(104+colorlen*2)], dtype='int16')
calib = np.frombuffer(byteArray[(104+colorlen*2):(104+colorlen*2+ 2048)], dtype='int16').astype(dtype="float32")
realcalib = calib /100.0
realcalib[calib<0] = (calib[calib<0] + 65536) /100.0
awx_index = np.empty(len(data_awx),dtype = "int32")
awx_index[:] = data_awx[:]
awx_index[data_awx <0] = data_awx[data_awx <0] +256
awx_index *= 4
real_data_awx = realcalib[awx_index]
grd.dat = real_data_awx.reshape(grd.nlat,grd.nlon)
grd.reset()
return grd
def read_from_nc(filename,valueName = None,grid = None):
if os.path.exists(filename):
f = Dataset(filename)
lons = None
lats = None
for key in f.variables.keys():
#print(key)
ndim = f.variables[key].ndim
if(ndim<2):
if 'lon' in key.lower():
lonName = str(key)
lons = f.variables[lonName][:]
if 'lat' in key.lower():
latName = key
lats = f.variables[latName][:]
else:
if (valueName is None):
valueName = key
dlon = (lons[-1] - lons[0]) / (len(lons) - 1)
dlat = (lats[-1] - lats[0]) / (len(lats) - 1)
grd = bd.grid_data(bd.grid(lons[0],dlon,lons[-1],lats[0],dlat,lats[-1]))
dat = np.squeeze(f.variables[valueName][:])
if(str(type(dat)) == "<class 'numpy.ma.core.MaskedArray'>"):
dat[dat.mask == True] = 0
dat = dat.data
if grd.nlon == grd.nlat:
strings = str(f.variables[valueName]).split("\n")[1]
lon_index = strings.find("lon")
lat_index = strings.find("lat")
if(lon_index < lat_index):
dat = dat.T
else:
if grd.nlon == len(dat):
dat = dat.T
grd.dat = dat
grd.reset()
f.close()
if (grid is None):
return grd
else:
return bt.ggf.linearInterpolation(grd, grid)
def read_from_micaps4(filename,grid = None):
try:
if not os.path.exists(filename):
print(filename + " is not exist")
return None
try:
file = open(filename,'r')
str1 = file.read()
file.close()
except:
file = open(filename,'r',encoding='utf-8')
str1 = file.read()
file.close()
strs = str1.split()
dlon = float(strs[9])
dlat = float(strs[10])
slon = float(strs[11])
elon = float(strs[12])
slat = float(strs[13])
elat = float(strs[14])
nlon = int(strs[15])
nlat = int(strs[16])
elon = slon + dlon * (nlon -1)
elat = slat + dlat * (nlat -1)
grd = bd.grid_data(bd.grid(slon,dlon,elon,slat,dlat,elat))
if len(strs) - 22 >= grd.nlon * grd.nlat :
k=22
grd.dat = (np.array(strs[k:])).astype(float).reshape((grd.nlat,grd.nlon))
grd.reset()
if (grid is None):
return grd
else:
return bt.ggf.linearInterpolation(grd, grid)
else:
return None
except:
print(filename + "'s format is wrong")
return None
def expand_to_contain_another_grid(grd0, grid):
grd0.reset()
grid.reset()
si = 0
sj = 0
ei = 0
ej = 0
if (grid.slon < grd0.grid.slon):
si = int(math.ceil((grd0.grid.slon - grid.slon) / grd0.grid.dlon))
if (grid.slat < grd0.grid.slat):
sj = int(math.ceil((grd0.grid.slat - grid.slat) / grd0.grid.dlat))
if (grid.elon > grd0.grid.elon):
ei = int(math.ceil((-grd0.grid.elon + grid.elon) / grd0.grid.dlon))
if (grid.elat > grd0.grid.elat):
ej = int(math.ceil((-grd0.grid.elat + grid.elat) / grd0.grid.dlat))
slon = grd0.grid.slon - si * grd0.grid.dlon
slat = grd0.grid.slat - sj * grd0.grid.dlat
elon = grd0.grid.elon + ei * grd0.grid.dlon
elat = grd0.grid.elat + ej * grd0.grid.dlat
grd1 = bd.grid_data(
bd.grid(slon, grd0.grid.dlon, elon, slat, grd0.grid.dlat, elat))
grd1.dat[sj:(sj + grd0.grid.nlat),
si:(si + grd0.grid.nlon)] = grd0.dat[:, :]
return grd1