67 lines
3.3 KiB
YAML
67 lines
3.3 KiB
YAML
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# Required columns and their maximum valid ranges
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required_cols:
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latitude: [-90, 90]
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longitude: [-180, 180]
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height_ato: [0, 60] # meters above takeoff
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windspeed: [0, 50] # m/s
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winddir: [0, 360] # degrees
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temperature: [-50, 60] # degrees Celsius
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pressure: [800, 1100] # hPa/mb
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# Optional gas columns and their maximum ppm concentration ranges.
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# Relative concentrations are used, so absolute offset can be incorrect as long as gain and linearity are correct.
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gases:
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CO2: [400, 450]
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strategies:
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background: "algorithm" # Currently only algorithmic baseline correction (via pybaselines) is supported
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sensor: "insitu" # Currently only in-situ sensor data is supported
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spatial: "spiral" # Spatial processing mode: "curtain" and "spiral" are supported
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interpolation: "kriging" # Currently only kriging interpolation is supported
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# Baseline correction algorithm settings
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algorithmic_baseline_settings:
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algorithm: fastchrom
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fastchrom: {
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"half_window": 6,
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"threshold": "custom", #
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"min_fwhm": ~,
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"interp_half_window": 3,
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"smooth_half_window": 3,
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"weights": ~,
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"max_iter": 100,
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"min_length": 2}
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fabc : {
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"lam": 10000, # The smoothing parameter. Larger values will create smoother baselines. Default is 1e6.
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"scale": 10, # The scale at which to calculate the continuous wavelet transform. Should be approximately equal to the index-based full-width-at-half-maximum of the peaks or features in the data. Default is None, which will use half of the value from optimize_window(), which is not always a good value, but at least scales with the number of data points and gives a starting point for tuning the parameter.
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"diff_order": 2} # The order of the differential matrix. Must be greater than 0. Default is 2 (second order differential matrix). Typical values are 2 or 1.
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dietrich : {
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"poly_order": 5,
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"smooth_half_window": 5,}
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golotvin : {
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"half_window": 2,
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"sections": 10}
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# Kriging settings - aggressively optimized for Spiral mode
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semivariogram_settings:
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model: exponential # Changed to exponential model for better circular data fitting
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estimator: cressie # Robust estimator for variogram calculation
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n_lags: 50 # Further increased to 50 for better variogram resolution
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bin_func: even # Even binning function
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fit_method: lm # Least squares fitting method
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### Aggressively increased search ranges for circular/spiral data distribution
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maxlag: 5000 # Dramatically increased to 5000m for comprehensive coverage
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tolerance: 180 # Increased to 180° to allow full circular search
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azimuth: 0 # Horizontal direction maintained
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bandwidth: 300 # Further increased to 300m for maximum search bandwidth
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# fit_sigma: linear # this should allow for a spatial uncertainty but currently producing bugs
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ordinary_kriging_settings:
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min_points: 1 # Reduced to 1 to allow interpolation even with sparse data
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max_points: 20 # Further reduced to 20 to minimize computational load
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grid_resolution: 100 # Increased density to 100 for finer interpolation grid
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min_nodes: 20 # Increased to 20 to ensure sufficient grid nodes
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y_min: ~ # Automatically determine minimum y value
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cut_ground: False # Keep ground cutting disabled
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