#249 adding entries in code table 1.4, 4.3 and 4.6 with associated notes

GRIB2_CodeFlag_1_4_CodeTable_en.csv

@@ -8,6 +8,8 @@ Type of data,,5,,Control and perturbed forecast products,,,,Operational
 Type of data,,6,,Processed satellite observations,,,,Operational
 Type of data,,7,,Processed radar observations,,,,Operational
 Type of data,,8,,Event probability,,,,Operational
-Type of data,,9-191,,Reserved,,,,Operational
+Type of data,,9,,Sample Data,(see Note 1),249a,,Operational
+Type of data,,10,,ML based forecast,(see Note 2),249b,,Operational
+Type of data,,11-191,,Reserved,,,,Operational
 Type of data,,192-254,,Reserved for local use,,,,Operational
 Type of data,,255,,Missing,,,,Operational

GRIB2_CodeFlag_4_3_CodeTable_en.csv

@@ -21,6 +21,7 @@ Type of generating process,,18,,Difference between two forecasts,,,,Operational
 Type of generating process,,19,,First guess,,,,Operational
 Type of generating process,,20,,Analysis increment,(see Note 2),29,,Operational
 Type of generating process,,21,,Initialization increment for analysis,(see Note 3),61,,Operational
-Type of generating process,,22-191,,Reserved,,,,Operational
+Type of generating process,,23,,Blended Forecast,(See Note 4),249c,,Operational
+Type of generating process,,24-191,,Reserved,,,,Operational
 Type of generating process,,192-254,,Reserved for local use,,,,Operational
 Type of generating process,,255,,Missing,,,,Operational

GRIB2_CodeFlag_4_6_CodeTable_en.csv

@@ -4,6 +4,11 @@ Type of ensemble forecast,,1,,Unperturbed low-resolution control forecast,,,,Ope
 Type of ensemble forecast,,2,,Negatively perturbed forecast,,,,Operational
 Type of ensemble forecast,,3,,Positively perturbed forecast,,,,Operational
 Type of ensemble forecast,,4,,Multi-model forecast,,,,Operational
-Type of ensemble forecast,,5-191,,Reserved,,,,Operational
+Type of ensemble forecast,,5,,Unpertubed forecast,,,,Operational
+Type of ensemble forecast,,6,,Perturbed forecast,,,,Operationaal
+Type of ensemble forecast,,7,,Initial conditions perturbations,(see Note 1),249d,,Operational
+Type of ensemble forecast,,8,,Model physics pertubations,(see Note 2),249e,,Operational
+Type of ensemble forecast,,9,,Initial conditions + model physics perturbations,(see Note 3),249f,,Operational
+Type of ensemble forecast,,10-191,,Reserved,,,,Operational
 Type of ensemble forecast,,192-254,,Reserved for local use,,,,Operational
 Type of ensemble forecast,,255,,Missing,,,,Operational

notes/CodeFlag_notes.csv

@@ -149,4 +149,10 @@ noteID,note
 225a,"The following additional arguments must be specified: • Circle - 1 argument for the radius in metres • Rectangle - 2 arguments for the length in 1. west-east and 2. south-north in metres • Square - 1 argument for the length of the equal-length sides in metres • Wedge - 3 arguments for 1. radius in metres and 2. start and 3. end radius in arithmetic degrees with 0 on the positive axis along west-east and counted counter-clockwise.  • span of grid cells - 2 arguments regarding the number of grid cells in 1. west-east and 2. south-north so that the span is i+/-x and j+/-y"
 225b,"The option quantile needs two additional arguments: 1) The total number of quantiles and 2) the quantile value."
 225c,"These parameters are intended to be used with templates 4.121 and 4.122 in which the spatiotemporal criteria is encoded used to get a categorical yes/no per grid point of each ensemble member."
-225d,"Scale Factor of Lower Limit, Scaled Value of Lower Limit, Scale Factor of Upper Limit and Scaled Value of Upper Limit must be set to missing. This entry is intended for, but not limited to, entries 5 to 7 in Code table 4.2 discipline 0 category 191."
+225d,"Scale Factor of Lower Limit, Scaled Value of Lower Limit, Scale Factor of Upper Limit and Scaled Value of Upper Limit must be set to missing. This entry is intended for, but not limited to, entries 5 to 7 in Code table 4.2 discipline 0 category 191."
+249a,"Data for demonstrational purposes only."
+249b,"forecast from Machine Learning (ML) model."
+249c,"Combination of different forecast products to produce a smooth, continuous forecast by applying weights to each individual prediction system which depend on the lead time and forecast skill (e.g. seamless prediction using nowcasting to short-range to medium-range)."
+249d,"Ensemble members are initialised from different initial conditions."
+249e,"model physics are perturbed e.g., with methods like SPPT, SPP, SKEB, etc."
+249f,"combination of entries 7 and 8."