[general]:
# Directory or file to be checked.
input = /data/dqc_test_data/seasonal/seasonal-monthly-single-levels/2m_temperature
# If a directory is provided the pattern can be used to filter the files. Can be empty, then every file is taken
fpattern = ecmwf-5*.grib 
# Directory where DQC logs are stored
log_dir = /tmp/dqc_logs
# Directory where DQC test results are stored (will be created if it does not exist)
res_dir = /tmp/dqc_res
# Directory with constrains.json per product (a.k.a c3sforms)
forms_dir = /data/cds-forms-c3s

[dataset]
# Variable to analyze (if grib, see grib_ls command) **OPTIONAL**
variable = t2m
# Data type to analyze (if grib, see grib_ls command) **OPTIONAL**
datatype = fcmean
# Dataset (as available in c3s catalogue form)
cds_dataset = seasonal-monthly-single-levels
# Variable (form variable)
cds_variable = 2m_temperature

[file_format]:
# No parameters required

[standard_compliance]:
# No parameters required

[spatial_completeness]:
# Land/Sea mask if available
mask_file = 
# Variable name within the mask grib file (default is lsm)
mask_var = 

[temporal_completeness]
# Origin (for seasonal products, otherwise optional)
origin = ecmwf
# System (for seasonal products, otherwise optional)
system = 5
# Flag indicating if dataset is seasonal (monthly, daily)
is_seasonal = 

[spatial_consistency]:
# Resolution of the grid (positive value), typically xinc
grid_interval = 1
# Type of Grid (gaussian, lonlat, ...)
grid_type = lonlat

[temporal_consistency]:
# Time step, positive integer value
time_step = 1
# Time unit (Hour, Day, Month, Year) or (h,d,m,y)
time_granularity = month

[valid_ranges]
# In case the valid minimum for the data is known (Otherwise, thresholds are set statistically)
valid_min =
# In case the valid maximum for the data is known (Otherwise, thresholds are set statistically)
valid_max =

[netcdf_converter]
