snapshot...

modules/amv/intercompare.py

@@ -772,14 +772,6 @@ def get_amv_winds_match(dist_threshold=150, qitype=amv_cqi_idx, qival=50, lat_ra
     noa_idxs = np.array(noa_idxs)
     nwc_idxs = np.array(nwc_idxs)
 
-    # amvs_all = []
-    # amvs_all.append(amvs_eum[eum_idxs, :])
-    # amvs_all.append(amvs_brz[brz_idxs, :])
-    # amvs_all.append(amvs_kma[kma_idxs, :])
-    # amvs_all.append(amvs_jma[jma_idxs, :])
-    # amvs_all.append(amvs_noa[noa_idxs, :])
-    # amvs_all.append(amvs_nwc[nwc_idxs, :])
-
     amvs_dict = {}
     amvs_dict['EUM'] = amvs_eum[eum_idxs, :]
     amvs_dict['BRZ'] = amvs_brz[brz_idxs, :]
@@ -940,7 +932,6 @@ def best_fit(amv_spd, amv_dir, amv_prs, amv_lat, amv_lon, fcst_spd, fcst_dir, fc
     SatwindGoodConstraint = 1
     flag = 0
     # Check for overall good agreement
-    #vdiff = np.sqrt((amv_uwind - SatwindBestFitU) ** 2 + (amv_vwind - SatwindBestFitV) ** 2)
     vdiff = np.sqrt((fcst_uwind - SatwindBestFitU) ** 2 + (fcst_vwind - SatwindBestFitV) ** 2)
     min_vdiff = min(vdiff)
     if min_vdiff > 4.0:
@@ -951,7 +942,6 @@ def best_fit(amv_spd, amv_dir, amv_prs, amv_lat, amv_lon, fcst_spd, fcst_dir, fc
     if SatwindGoodConstraint == 1:
         mm = np.where(fcst_prs > (SatwindBestFitPress + 100))[0]
         nn = np.where(fcst_prs < (SatwindBestFitPress - 100))[0]
-        #if (np.sum(VecDiff[mm] < (vdiff + 2.0)) + np.sum(VecDiff[nn] < (vdiff + 2.0))) > 0:
         if (np.sum(vdiff[mm] < (min_vdiff + 2.0)) + np.sum(vdiff[nn] < (min_vdiff + 2.0))) > 0:
             SatwindGoodConstraint = 0
             flag = 1