From d5bdf5cec1d5340816bcbe4b77a12565e7a51854 Mon Sep 17 00:00:00 2001
From: thopri <thopri@noc.ac.uk>
Date: Wed, 15 Apr 2020 13:05:14 +0100
Subject: [PATCH] completed multiple HC for FES model
---
inputs/namelist_remote.bdy | 2 +-
pynemo/tide/fes_extract_HC.py | 1 -
2 files changed, 1 insertion(+), 2 deletions(-)
diff --git a/inputs/namelist_remote.bdy b/inputs/namelist_remote.bdy
index 7768005..48a1d8c 100644
--- a/inputs/namelist_remote.bdy
+++ b/inputs/namelist_remote.bdy
@@ -68,7 +68,7 @@
! unstructured open boundaries tidal parameters
!------------------------------------------------------------------------------
ln_tide = .true. ! =T : produce bdy tidal conditions
- sn_tide_model = 'fes' ! Name of tidal model (fes|tpxo)
+ sn_tide_model = 'tpxo' ! Name of tidal model (fes|tpxo)
clname(1) = 'M2' ! constituent name
clname(2) = 'S2'
ln_trans = .true. ! interpolate transport rather than
diff --git a/pynemo/tide/fes_extract_HC.py b/pynemo/tide/fes_extract_HC.py
index 6aaebf6..7f87b04 100644
--- a/pynemo/tide/fes_extract_HC.py
+++ b/pynemo/tide/fes_extract_HC.py
@@ -229,7 +229,6 @@ class HcExtract(object):
maskedpoints = interpolate.interpn((x_values, y_values), mask, lonlat)
data_temp = np.zeros((data.shape[0], lon.shape[0], 2, ))
- #check at same point in TPXO extract HC sc
for cons_index in range(data.shape[0]):
#interpolate real values
data_temp[cons_index, :, 0] = interpolate_data(x_values, y_values,
--
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