diff --git a/modules/aeolus/aeolus_amv.py b/modules/aeolus/aeolus_amv.py
index 508f55ebfeae481f5c9eee38a374803c138b3b70..4050ec7440f63ffa92705b92b0f155e53514091a 100644
--- a/modules/aeolus/aeolus_amv.py
+++ b/modules/aeolus/aeolus_amv.py
@@ -81,8 +81,18 @@ class OPS(AMVFiles):
def __init__(self, files_path, file_time_span, band='14'):
super().__init__(files_path, file_time_span, 'OR_ABI-L2-DMWF*'+'C'+band+'*.nc', band)
+ self.elem_name = None
+ self.line_name = None
+ self.lon_name = 'lon'
+ self.lat_name = 'lat'
+
+ self.out_params = {'Lon', 'Lat', 'Element', 'Line', 'pressure', 'wind_speed', 'wind_direction'}
+ self.params = {'pressure', 'wind_speed', 'wind_direction'}
+ self.meta_dict = {'Lon': ('degrees east', 'f4'), 'Lat': ('degrees north', 'f4'), 'Element': (None, 'i4'), 'Line': (None, 'i4'),
+ 'pressure': ('hPa', 'f4'), 'wind_speed': ('m s-1', 'f4'), 'wind_direction': ('degrees', 'f4')}
+
def get_navigation(self):
- return GEOSNavigation(sub_lon=-75.0)
+ return GEOSNavigation(sub_lon=-75.2)
def get_datetime(self, pathname):
fname = os.path.split(pathname)[1]
@@ -93,6 +103,15 @@ class OPS(AMVFiles):
return dto
+ def get_parameters(self):
+ return self.params
+
+ def get_out_parameters(self):
+ return self.out_params
+
+ def get_meta_dict(self):
+ return self.meta_dict
+
class CarrStereo(AMVFiles):
def __init__(self, files_path, file_time_span, band='14'):
@@ -137,6 +156,165 @@ class CarrStereo(AMVFiles):
return self.meta_dict
+# raob_dict: time -> profiles
+# amv_files_path: directory containing AMVs, '/home/user/amvdir/'
+# return dict: aeolus time -> tuple (amv_lon, amv_lat, amv_pres, amv_spd, amv_dir)
+def match_amvs_to_raobs(raob_dict, raob_time, amv_files):
+ nav = amv_files.get_navigation()
+ amv_params = amv_files.get_parameters()
+ match_dict = {}
+
+ #fname, ftime, f_idx = amv_files.get_file_containing_time(raob_time)
+ fname = '/Users/tomrink/data/OR_ABI-L2-DMWF-M6C14_G16_s20201190000156_e20201190009464_c20201190023107.nc'
+
+ ds = Dataset(fname)
+
+ amv_lons = ds[amv_files.lon_name][:]
+ amv_lats = ds[amv_files.lat_name][:]
+ if amv_files.elem_name is None or amv_files.line_name is None:
+ cc, ll = nav.earth_to_lc_s(amv_lons, amv_lats)
+ else:
+ cc = ds[amv_files.elem_name][:]
+ ll = ds[amv_files.line_name][:]
+
+ param_s = []
+ param_s.append(amv_lons)
+ param_s.append(amv_lats)
+ param_s.append(cc)
+ param_s.append(ll)
+ for param in amv_params:
+ if param == 'V_3D':
+ param_s.append(ds[param][:, 0])
+ param_s.append(ds[param][:, 1])
+ else:
+ param_s.append(ds[param][:])
+
+ ds.close()
+
+ keys = list(raob_dict.keys())
+
+ for key in keys:
+
+ raob = raob_dict.get(key)
+ if raob is None:
+ continue
+
+ lat = key[0]
+ lon = key[1]
+
+ c_rng, l_rng = get_search_box(nav, lon, lat)
+ if c_rng is None:
+ continue
+
+ in_cc = np.logical_and(cc > c_rng[0], cc < c_rng[1])
+ in_ll = np.logical_and(ll > l_rng[0], ll < l_rng[1])
+ in_box = np.logical_and(in_cc, in_ll)
+
+ num_amvs = np.sum(in_box)
+ if num_amvs == 0:
+ continue
+ # dist = haversine_np(lon, lat, amv_lons[in_box], amv_lats[in_box])
+ param_nd = np.vstack(param_s)
+ param_nd = param_nd[:, in_box]
+ match_dict[key] = param_nd
+
+ return match_dict
+
+
+def create_file2(filename, raob_to_amv_dct, raob_dct, amv_files):
+ keys = list(raob_to_amv_dct.keys())
+
+ num_amvs = []
+ num_levs = []
+ times = []
+
+ namvs = 0
+ nlevs = 0
+ for key in keys:
+ param_nd = raob_to_amv_dct.get(key)
+ num_amvs.append(param_nd.shape[1])
+ namvs += param_nd.shape[1]
+
+ prof = raob_dct.get(key)
+ num_levs.append(prof.shape[0])
+ nlevs += prof.shape[0]
+
+ # TODO: need a time
+ times.append(0.0)
+
+ # amv_per_alus = len(aeolus_to_amv_dct)
+ rootgrp = Dataset(filename, 'w', format='NETCDF4')
+ dim_amvs = rootgrp.createDimension('amvs', size=namvs)
+ dim_alus = rootgrp.createDimension('raobs', size=nlevs)
+ dim_num_aeolus_prof = rootgrp.createDimension('num_raobs', size=len(raob_to_amv_dct))
+
+ nc4_vars = []
+ out_params = amv_files.get_out_parameters()
+ meta_dict = amv_files.get_meta_dict()
+
+ for pidx, param in enumerate(out_params):
+ u, t = meta_dict.get(param)
+ var = rootgrp.createVariable(param, t, ['amvs'])
+ if u is not None:
+ var.units = u
+ nc4_vars.append(var)
+
+ dist = rootgrp.createVariable('dist_to_raob', 'f4', ['amvs'])
+ dist.units = 'km'
+
+ num_amvs_per_raob = rootgrp.createVariable('num_amvs_per_raob', 'i4', ['num_raobs'])
+ num_levs_per_raob = rootgrp.createVariable('num_levs_per_raob', 'i4', ['num_raobs'])
+ prof_time = rootgrp.createVariable('time', 'f4', ['num_raobs'])
+ # ---- Profile variables ---------------
+ prf_lon = rootgrp.createVariable('raob_longitude', 'f4', ['num_raobs'])
+ prf_lon.units = 'degrees east'
+ prf_lat = rootgrp.createVariable('raob_latitude', 'f4', ['num_raobs'])
+ prf_lat.units = 'degrees north'
+ prof_time.units = 'seconds since 1970-01-1 00:00:00'
+
+ prf_azm = rootgrp.createVariable('prof_azm', 'f4', ['raobs'])
+ prf_azm.units = 'degree'
+ prf_spd = rootgrp.createVariable('prof_spd', 'f4', ['raobs'])
+ prf_spd.units = 'm s-1'
+ prf_prs = rootgrp.createVariable('prof_pres', 'f4', ['raobs'])
+ prf_prs.units = 'hPa'
+ prf_tmp = rootgrp.createVariable('prof_temp', 'f4', ['raobs'])
+ prf_tmp.units = 'K'
+ # --------------------------------------
+
+ i_a = 0
+ i_c = 0
+ for idx, key in enumerate(keys):
+ namvs = num_amvs[idx]
+ nlevs = num_levs[idx]
+ i_b = i_a + namvs
+ i_d = i_c + nlevs
+
+ prof = raob_dct.get(key)
+ prf_azm[i_c:i_d] = prof[:, 2]
+ prf_spd[i_c:i_d] = prof[:, 3]
+ prf_prs[i_c:i_d] = prof[:, 0]
+ prf_tmp[i_c:i_d] = prof[:, 1]
+ i_c += nlevs
+
+ plat = key[0]
+ plon = key[1]
+ prf_lat[idx::] = plat
+ prf_lon[idx::] = plon
+
+ param_nd = raob_to_amv_dct.get(key)
+ for pidx, param in enumerate(out_params):
+ nc4_vars[pidx][i_a:i_b] = param_nd[pidx, :]
+ dist[i_a:i_b] = haversine_np(plon, plat, param_nd[0, :], param_nd[1, :])
+ i_a += namvs
+
+ num_amvs_per_raob[:] = num_amvs
+ num_levs_per_raob[:] = num_levs
+ prof_time[:] = times
+
+ rootgrp.close()
+
+
# imports the S4 NOAA output
# filename: full path as a string, '/home/user/filename'
# returns a dict: time -> list of profiles (a profile is a list of levels)