Downscaler parameters file¶

The parameters file for the Downscaler is based on the generic parameters file for AtmoSwing, but has some specific elements as detailed below. A full example is provided at the bottom of the page.

Root node¶

The target property of the root node needs to be downscaler.

<atmoswing version="1.0" target="downscaler">

Content ‘time_properties’¶

The content of <time_properties> is globally similar to the standard parameters file, to the exception of a new <downscaling_period> element.

Element ‘downscaling_period’¶

The content of <downscaling_period> defines the target period. It works as the <target_period> element of the standard parameters file. Two options are possible:

Providing the years :

<start_year>: Start of the target period (ex: 2050)
<end_year>: End of the target period (ex: 2099)

Or the exact dates:

<start>: Start of the target period (ex: 01.10.2050)
<end>: End of the target period (ex: 31.09.2099)

Content ‘analog_dates’¶

The content of <analog_dates> is mostly similar to the basic parameters file structure. The difference is that two predictor datasets are needed:

<proj_dataset_id>: Climate dataset
<proj_data_id>: Name of the variable in the climate dataset
<archive_dataset_id>: Archive dataset
<archive_data_id>: Name of the variable in the archive dataset

<analog_dates>
  <analogs_number>30</analogs_number>
  <predictor>
    <proj_dataset_id>CORDEX</proj_dataset_id>
    <proj_data_id>hgt</proj_data_id>
    <archive_dataset_id>NCEP_Reanalysis_v1</archive_dataset_id>
    <archive_data_id>hgt</archive_data_id>
    ...
  </predictor>
  ...
</analog_dates>

Full example¶

Example of a parameters file for the Downscaler:

<?xml version="1.0" encoding="UTF-8" ?>
<atmoswing version="1.0" target="downscaler">
  <description>
    <method_id>2Z</method_id>
    <method_id_display>Classic circulation</method_id_display>
    <specific_tag>somewhere</specific_tag>
    <specific_tag_display>groupment of interest</specific_tag_display>
    <description>Classic analogy on the atmospheric circulation (2 levels)</description>
  </description>
  <time_properties>
    <archive_period>
      <start_year>1962</start_year>
      <end_year>2008</end_year>
    </archive_period>
    <downscaling_period>
      <start_year>2050</start_year>
      <end_year>2099</end_year>
    </downscaling_period>
    <time_step>24</time_step>
    <time_array_target>
      <time_array>simple</time_array>
    </time_array_target>
    <time_array_analogs>
      <time_array>days_interval</time_array>
      <interval_days>60</interval_days>
      <exclude_days>60</exclude_days>
    </time_array_analogs>
  </time_properties>
  <analog_dates>
    <analogs_number>100</analogs_number>
    <predictor>
      <preload>1</preload>
      <proj_dataset_id>CORDEX</proj_dataset_id>
      <proj_data_id>zg500</proj_data_id>
      <archive_dataset_id>NCEP_Reanalysis_v1</archive_dataset_id>
      <archive_data_id>hgt</archive_data_id>
      <level>500</level>
      <time>24</time>
      <spatial_window>
        <x_min>-10</x_min>
        <x_points_nb>9</x_points_nb>
        <x_step>2.5</x_step>
        <y_min>30</y_min>
        <y_points_nb>5</y_points_nb>
        <y_step>2.5</y_step>
      </spatial_window>
      <criteria>S1</criteria>
      <weight>0.6</weight>
    </predictor>
    <predictor>
      <preprocessing>
        <preprocessing_method>SimpleGradients</preprocessing_method>
        <preprocessing_data>
          <proj_dataset_id>CORDEX</proj_dataset_id>
          <proj_data_id>zg850</proj_data_id>
          <archive_dataset_id>NCEP_Reanalysis_v1</archive_dataset_id>
          <archive_data_id>hgt</archive_data_id>
          <level>850</level>
          <time>12</time>
        </preprocessing_data>
      </preprocessing>
      <spatial_window>
        <x_min>-15</x_min>
        <x_points_nb>11</x_points_nb>
        <x_step>2.5</x_step>
        <y_min>35</y_min>
        <y_points_nb>7</y_points_nb>
        <y_step>2.5</y_step>
      </spatial_window>
      <criteria>S1</criteria>
      <weight>0.4</weight>
    </predictor>
  </analog_dates>
  <analog_values>
    <predictand>
      <station_id>40</station_id>
    </predictand>
  </analog_values>
</atmoswing>