Combining readers using operators

It is possible to combine readers using operators, to create e.g. a mean reader from different sources, or adding a constant force term to another sources.

from datetime import timedelta
from opendrift.readers import reader_netCDF_CF_generic, reader_constant
from opendrift.models.leeway import Leeway

lw = Leeway(loglevel=20)  # Set loglevel to 0 for debug information

# Atmospheric model for wind
#reader_arome = reader_netCDF_CF_generic.Reader('https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc')
reader_arome = reader_netCDF_CF_generic.Reader(lw.test_data_folder() +
    '16Nov2015_NorKyst_z_surface/arome_subset_16Nov2015.nc')

# Ocean model for current
#reader_norkyst = reader_netCDF_CF_generic.Reader('https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc')
reader_norkyst = reader_netCDF_CF_generic.Reader(lw.test_data_folder() +
    '16Nov2015_NorKyst_z_surface/norkyst800_subset_16Nov2015.nc')
15:18:10 INFO    opendrift.models.basemodel:515: OpenDriftSimulation initialised (version 1.11.11 / v1.11.11-3-g3a3de84)
15:18:10 INFO    opendrift.readers.reader_netCDF_CF_generic:102: Opening dataset: /root/project/tests/test_data/16Nov2015_NorKyst_z_surface/arome_subset_16Nov2015.nc
15:18:10 INFO    opendrift.readers.reader_netCDF_CF_generic:314: Detected dimensions: {'time': 'time', 'x': 'x', 'y': 'y'}
15:18:10 INFO    opendrift.readers.reader_netCDF_CF_generic:102: Opening dataset: /root/project/tests/test_data/16Nov2015_NorKyst_z_surface/norkyst800_subset_16Nov2015.nc
15:18:10 INFO    opendrift.readers.reader_netCDF_CF_generic:314: Detected dimensions: {'x': 'X', 'y': 'Y', 'z': 'depth', 'time': 'time'}

First a regular simulation, without the added wind:

lw.add_reader([reader_arome, reader_norkyst])
object_type = 26  # 26 = Life-raft, no ballast
lw.seed_elements(lon=4.5, lat=59.6, radius=100, number=1000,
                 time=reader_arome.start_time, object_type=object_type)
lw.run(duration=timedelta(hours=48), time_step=900, time_step_output=3600)
lw.plot(fast=True)
OpenDrift - Leeway (LIFE-RAFT-NB-1) 2015-11-16 00:00 to 2015-11-18 00:00 UTC (49 steps)
15:18:10 INFO    opendrift.models.leeway:306: Seeding elements of object type 26: LIFE-RAFT-NB-1 (Life-raft, no ballast (NB) system, general (mean values))
15:18:10 INFO    opendrift.models.basemodel.environment:218: Adding a dynamical landmask with max. priority based on assumed maximum speed of 5.0 m/s. Adding a customised landmask may be faster...
15:18:16 INFO    opendrift.models.basemodel:936: Using existing reader for land_binary_mask
15:18:16 INFO    opendrift.models.basemodel:947: All points are in ocean
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/root/project/opendrift/readers/interpolation/interpolators.py:17: RuntimeWarning: overflow encountered in cast
  data[mask] = np.finfo(np.float64).min
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15:18:21 WARNING opendrift.models.basemodel:2328: Missing variables: ['x_sea_water_velocity', 'y_sea_water_velocity']
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15:18:22 WARNING opendrift.models.basemodel:2411: Plotting fast. This will make your plots less accurate.

(<GeoAxes: title={'center': 'OpenDrift - Leeway (LIFE-RAFT-NB-1)\n2015-11-16 00:00 to 2015-11-18 00:00 UTC (49 steps)'}>, <Figure size 480.032x1100 with 1 Axes>)

Then a simulation where we add a constant x_wind component to cause stranding.

reader_onshore = reader_constant.Reader({ 'x_wind' : 10., 'y_wind': 0 })

If we just add all readers OpenDrift will read the wind from the first available reader, so we combine the wind reader and add them in order so that the combined reader is used first, then the actual sources are used next.

r0 = reader_onshore + reader_arome
print(r0)

lw2 = Leeway(loglevel=20)  # Set loglevel to 0 for debug information
lw2.add_reader([r0, reader_arome, reader_norkyst])
===========================
Reader: Combined(constant_reader | /root/project/tests/test_data/16Nov2015_NorKyst_z_surface/arome_subset_16Nov2015.nc)
Projection:
  +proj=latlong
Coverage: [degrees]
  xmin: -180.000000   xmax: 180.000000
  ymin: -90.000000   ymax: 90.000000
  Corners (lon, lat):
    (-180.00,  90.00)  (180.00,  90.00)
    (-180.00, -90.00)  (180.00, -90.00)
Vertical levels [m]:
  Not specified
Available time range:
  start: 2015-11-16 00:00:00   end: 2015-11-18 18:00:00   step: None
Variables:
  y_wind
  wind_speed
  x_wind
===========================

15:18:29 INFO    opendrift.models.basemodel:515: OpenDriftSimulation initialised (version 1.11.11 / v1.11.11-3-g3a3de84)

Seed leeway elements at defined position and time

object_type = 26  # 26 = Life-raft, no ballast
lw2.seed_elements(lon=4.5, lat=59.6, radius=100, number=1000,
                 time=reader_arome.start_time, object_type=object_type)
15:18:29 INFO    opendrift.models.leeway:306: Seeding elements of object type 26: LIFE-RAFT-NB-1 (Life-raft, no ballast (NB) system, general (mean values))
15:18:29 INFO    opendrift.models.basemodel.environment:218: Adding a dynamical landmask with max. priority based on assumed maximum speed of 5.0 m/s. Adding a customised landmask may be faster...

Running model

lw2.run(duration=timedelta(hours=48), time_step=900, time_step_output=3600)
15:18:29 INFO    opendrift.models.basemodel:936: Using existing reader for land_binary_mask
15:18:29 INFO    opendrift.models.basemodel:947: All points are in ocean
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/root/project/opendrift/readers/interpolation/interpolators.py:17: RuntimeWarning: overflow encountered in cast
  data[mask] = np.finfo(np.float64).min
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15:18:34 INFO    opendrift.models.basemodel:2038: 2015-11-17 23:45:00 - step 192 of 192 - 2 active elements (998 deactivated)

Print and plot results

print(lw2)
lw2.plot(fast=True)
OpenDrift - Leeway (LIFE-RAFT-NB-1) 2015-11-16 00:00 to 2015-11-18 00:00 UTC (49 steps)
===========================
--------------------
Reader performance:
--------------------
Combined(constant_reader | /root/project/tests/test_data/16Nov2015_NorKyst_z_surface/arome_subset_16Nov2015.nc)
--------------------
/root/project/tests/test_data/16Nov2015_NorKyst_z_surface/arome_subset_16Nov2015.nc
 0:00:01.9  total
 0:00:00.0  preparing
 0:00:00.4  reading
 0:00:00.1  interpolation
 0:00:00.0  interpolation_time
 0:00:01.4  rotating vectors
 0:00:00.0  masking
--------------------
/root/project/tests/test_data/16Nov2015_NorKyst_z_surface/norkyst800_subset_16Nov2015.nc
 0:00:03.7  total
 0:00:00.0  preparing
 0:00:00.7  reading
 0:00:00.3  interpolation
 0:00:00.0  interpolation_time
 0:00:03.0  rotating vectors
 0:00:00.0  masking
--------------------
global_landmask
 0:00:00.0  total
 0:00:00.0  preparing
 0:00:00.0  reading
 0:00:00.0  masking
--------------------
Performance:
    4.4 total time
    0.1 configuration
    0.0 preparing main loop
      0.0 moving elements to ocean
    4.2 main loop
      0.1 updating elements
    0.0 cleaning up
--------------------
===========================
Model:  Leeway     (OpenDrift version 1.11.11)
        2 active LeewayObj particles  (998 deactivated, 0 scheduled)
-------------------
Environment variables:
  -----
  x_wind
  y_wind
     1) Combined(constant_reader | /root/project/tests/test_data/16Nov2015_NorKyst_z_surface/arome_subset_16Nov2015.nc)
     2) /root/project/tests/test_data/16Nov2015_NorKyst_z_surface/arome_subset_16Nov2015.nc
  -----
  x_sea_water_velocity
  y_sea_water_velocity
     1) /root/project/tests/test_data/16Nov2015_NorKyst_z_surface/norkyst800_subset_16Nov2015.nc
  -----
  land_binary_mask
     1) global_landmask

Discarded readers:

Time:
        Start: 2015-11-16 00:00:00 UTC
        Present: 2015-11-18 00:00:00 UTC
        Calculation steps: 192 * 0:15:00 - total time: 2 days, 0:00:00
        Output steps: 49 * 1:00:00
===========================

15:18:34 WARNING opendrift.models.basemodel:2411: Plotting fast. This will make your plots less accurate.

(<GeoAxes: title={'center': 'OpenDrift - Leeway (LIFE-RAFT-NB-1)\n2015-11-16 00:00 to 2015-11-18 00:00 UTC (49 steps)'}>, <Figure size 458.219x1100 with 1 Axes>)

The first simulation compared to the second with extra wind:

lw.plot(fast=True, compare=lw2)
OpenDrift - Leeway (LIFE-RAFT-NB-1) 2015-11-16 00:00 to 2015-11-18 00:00 UTC (49 steps)
15:18:40 WARNING opendrift.models.basemodel:2411: Plotting fast. This will make your plots less accurate.

(<GeoAxes: title={'center': 'OpenDrift - Leeway (LIFE-RAFT-NB-1)\n2015-11-16 00:00 to 2015-11-18 00:00 UTC (49 steps)'}>, <Figure size 494.554x1100 with 1 Axes>)

Total running time of the script: (0 minutes 48.506 seconds)

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