| 1 | Mandatory options describing what the data is a source of and |
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| 2 | when it should be used: |
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| 3 | fieldname={STRING} -- name of output field calculated from this source |
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| 4 | output_stagger={U V M HH VV} -- the staggering of the output field |
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| 5 | dest_fieldtype={continuous categorical} -- type of field calculated from src |
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| 6 | priority={INTEGER} -- priority level of this source (larger number = |
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| 7 | higher priority) |
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| 8 | |
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| 9 | |
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| 10 | Options describing other aspects of the source: |
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| 11 | path={STRING} -- where to find the data |
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| 12 | fill_missing={REAL} -- value assigned to gridpoints that have no data |
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| 13 | halt_on_missing={yes no} -- halt if missing values found in output field |
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| 14 | z_dim_name={STRING} -- for 3-d output fields, name of z dimension |
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| 15 | masked={land water} -- ??? this is field should be masked by land/water |
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| 16 | |
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| 17 | |
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| 18 | Option to indicate which field the landmask should be computed from; should be |
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| 19 | specified for exactly one fieldname: |
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| 20 | landmask_water={INTEGER} -- compute landmask based on value of water |
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| 21 | landmask_land={INTEGER} -- compute landmask based on value of land |
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| 22 | |
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| 23 | |
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| 24 | For dominant category-type fields: |
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| 25 | dominant_category={STRING} -- name of dominant category to compute from src |
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| 26 | dominant_only={STRING} -- only compute a dominant category from src |
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| 27 | |
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| 28 | For derivatives (only for continuous fields): |
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| 29 | df_dx={STRING} -- calculate df_dx for this field, and name the result STRING |
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| 30 | df_dy={STRING} -- calculate df_dy for this field, and name the result STRING |
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| 31 | |
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| 32 | Other options: |
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| 33 | scale_factor={REAL} -- scale final field by this scalar |
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| 34 | interp_option={sixteen_pt four_pt nearest_neighbor average} -- interpolation type |
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| 35 | smooth_option={1-2-1 smth-desmth} -- smoothing type, if specified |
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| 36 | smooth_passes={INTEGER} -- number of smoothing passes |
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| 37 | |
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| 38 | |
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| 39 | Mandatory options describing the projection of the source: |
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| 40 | These options are used in the `index' file for each source, NOT in the |
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| 41 | input.table |
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| 42 | fieldtype={continuous categorical} -- type of this source data |
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| 43 | proj={lambert polar mercator regular_ll} -- projection of source |
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| 44 | dx={REAL} |
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| 45 | dy={REAL} |
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| 46 | missing_value={REAL} -- value of missing data |
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| 47 | signed={yes no} -- whether signed in 2's complement format |
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| 48 | known_x={REAL} |
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| 49 | known_y={REAL} |
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| 50 | known_lat={REAL} |
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| 51 | known_lon={REAL} |
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| 52 | truelat1={REAL} |
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| 53 | truelat2={REAL} |
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| 54 | stdlon={REAL} |
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| 55 | units={STRING} |
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| 56 | description={STRING} |
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| 57 | wordsize={INTEGER} -- how many bytes per value |
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| 58 | tile_x={INTEGER} -- number of points in x direction per tile |
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| 59 | tile_y={INTEGER} -- number of points in y direction per tile |
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| 60 | tile_z={INTEGER} -- number of points in z direction per tile |
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| 61 | tile_z_start={INTEGER} -- alternate to tile_z; starting z index |
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| 62 | tile_z_end={INTEGER} -- alternate to tile_z; ending z index |
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| 63 | tile_bdr={INTEGER} -- number of halo points around each tile |
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| 64 | category_min={INTEGER} -- for categorical data, min category in the source |
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| 65 | category_max={INTEGER} -- for categorical data, max category in the source |
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