Fix notes (#289)

* replace note notations, fix csv errors and spelling

* xml,txt files

---------

Co-authored-by: Enrico Fucile <efucile@wmo.int>

Author: amilan17

GRIB2_CodeFlag_1_4_CodeTable_en.csv

@@ -8,8 +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,,Experimental data,(see Note 2),249a,,Operational
-Type of data,,10,,ML based forecast,(see Note 3),249b,,Operational
+Type of data,,9,,Experimental data,(see Note 2),157,,Operational
+Type of data,,10,,ML based forecast,(see Note 3),158,,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_101_CodeTable_en.csv

@@ -8,7 +8,7 @@ Type of relationship to reference dataset,,20,,Extreme Forecast Index (EFI),(see
 Type of relationship to reference dataset,,21,,Shift of Tails (SOT),(see Note 4),138,,Operational
 Type of relationship to reference dataset,,22,,Anomaly of probabilities,(see Note 5),148,,Operational
 Type of relationship to reference dataset,,23,,Standardized Drought Index,(see Note 6),147,,Operational
-Type of relationship to reference dataset,,24,,Crossing Point Forecast (CPF) (see Note 7),248a,,Operational
+Type of relationship to reference dataset,,24,,Crossing Point Forecast (CPF),(see Note 7),162,,Operational
 Type of relationship to reference dataset,,25-191,,Reserved,,,,Operational
 Type of relationship to reference dataset,,192-254,,Reserved for local use,,,,Operational
 Type of relationship to reference dataset,,255,,Missing,,,,Operational

GRIB2_CodeFlag_4_2_10_4_CodeTable_en.csv

@@ -50,8 +50,8 @@ Parameter number by product discipline and parameter category,"Product disciplin
 Parameter number by product discipline and parameter category,"Product discipline 10 - Oceanographic products, parameter category 4: subsurface properties",50,,Sea water column integrated practical salinity,,,g kg-1 m,Operational
 Parameter number by product discipline and parameter category,"Product discipline 10 - Oceanographic products, parameter category 4: subsurface properties",51,,Sea water column integrated salinity,,,kg kg-1 m,Operational
 Parameter number by product discipline and parameter category,"Product discipline 10 - Oceanographic products, parameter category 4: subsurface properties",52,,Mixed layer depth,,,m,Operational
-Parameter number by product discipline and parameter category,"Product discipline 10 - Oceanographic products, parameter category 4: subsurface properties",53,,Normal component of water velocity,(see Note 3),253a,m s-1,Operational
-Parameter number by product discipline and parameter category,"Product discipline 10 - Oceanographic products, parameter category 4: subsurface properties",54,,Tangential component of water velocity,(see Note 3),253a,m s-1,Operational
+Parameter number by product discipline and parameter category,"Product discipline 10 - Oceanographic products, parameter category 4: subsurface properties",53,,Normal component of water velocity,(see Note 3),163,m s-1,Operational
+Parameter number by product discipline and parameter category,"Product discipline 10 - Oceanographic products, parameter category 4: subsurface properties",54,,Tangential component of water velocity,(see Note 3),163,m s-1,Operational
 Parameter number by product discipline and parameter category,"Product discipline 10 - Oceanographic products, parameter category 4: subsurface properties",55-191,,Reserved,,,,Operational
 Parameter number by product discipline and parameter category,"Product discipline 10 - Oceanographic products, parameter category 4: subsurface properties",192-254,,Reserved for local use,,,,Operational
 Parameter number by product discipline and parameter category,"Product discipline 10 - Oceanographic products, parameter category 4: subsurface properties",255,,Missing,,,,Operational

GRIB2_CodeFlag_4_2_2_7_CodeTable_en.csv

@@ -1,5 +1,5 @@
 Title_en,SubTitle_en,CodeFlag,Value,MeaningParameterDescription_en,Note_en,noteIDs,UnitComments_en,Status
-Parameter number by product discipline and parameter category,"Product discipline 2 - Land surface products, parameter category 7: thermodynamic properties",0,,Heat net flux,(see Note),251a,W m-2,Operational
+Parameter number by product discipline and parameter category,"Product discipline 2 - Land surface products, parameter category 7: thermodynamic properties",0,,Heat net flux,(see Note),156,W m-2,Operational
 Parameter number by product discipline and parameter category,"Product discipline 2 - Land surface products, parameter category 7: thermodynamic properties",1,,Latent heat net flux,,,W m-2,Operational
 Parameter number by product discipline and parameter category,"Product discipline 2 - Land surface products, parameter category 7: thermodynamic properties",2,,Sensible heat net flux,,,W m-2,Operational
 Parameter number by product discipline and parameter category,"Product discipline 2 - Land surface products, parameter category 7: thermodynamic properties",3-191,,Reserved,,,,Operational

GRIB2_CodeFlag_4_3_CodeTable_en.csv

@@ -21,7 +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,,Blended forecast,(See Note 4),249c,,Operational
+Type of generating process,,22,,Blended forecast,(See Note 4),159,,Operational
 Type of generating process,,23-191,,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

@@ -4,11 +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,,Unpertubed forecast,,,,Operational
+Type of ensemble forecast,,5,,Unperturbed 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 and model physics perturbations,(see Note 3),249f,,Operational
+Type of ensemble forecast,,7,,Initial conditions perturbations,(see Note 1),160,,Operational
+Type of ensemble forecast,,8,,Model physics perturbations,(see Note 2),165,,Operational
+Type of ensemble forecast,,9,,Initial conditions and model physics perturbations,(see Note 3),161,,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

GRIB2_CodeFlag_4_9_CodeTable_en.csv

@@ -9,7 +9,7 @@ Probability type,,6,,Probability of event in above normal category,(see Notes 1
 Probability type,,7,,Probability of event in near normal category,(see Notes 1 and 2),"7,9",,Operational
 Probability type,,8,,Probability of event in below normal category,(see Notes 1 and 2),"7,9",,Operational
 Probability type,,9,,Probability based on counts of categorical boolean,(see Note 3),155,,Operational
-Probability type,,10,,Probability of event within the quantile of the probability distribution function,(see Note 4),247a,,Operational
+Probability type,,10,,Probability of event within the quantile of the probability distribution function,(see Note 4),164,,Operational
 Probability type,,11-191,,Reserved,,,,Operational
 Probability type,,192-254,,Reserved for local use,,,,Operational
 Probability type,,255,,Missing,,,,Operational

notes/CodeFlag_notes.csv

@@ -150,13 +150,13 @@ noteID,note
 153,"The option quantile needs two additional arguments: 1) The total number of quantiles and 2) the quantile value."
 154,"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."
 155,"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."
-251a,Heat net flux is the sum of latent heat net flux and sensible heat net flux.
-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 (for example, seamless prediction using nowcasting to short-range to medium-range)."
-249d,Ensemble members are initialised from different initial condition.
-249e,"Model physics are perturbed (for example, with methods like SPPT, SPP and SKEB."
-249f,Combination of 7 and 8.
-248a,"Ben Bouallègue, Z. (2021). On the verification of the crossing-point forecast. Tellus A: Dynamic Meteorology and Oceanography, 73(1), 1–10. [https://doi.org/10.1080/16000870.2021.1913007]"
-253a,In relation to local coordinate axes at a (grid) cell edge.
-247a,"When using entry 10, the lower limit is used to encode the quantile q (must be an integer between 0 and Q) while the upper limit is used to encode the total number of quantiles Q. This defines the probability of the parameter falling within quantile q. For instance, to encode the probability of falling within the 10th percentile, then q=10 and Q=100; to encode the probability of falling within the 1st tercile, then q=1 and Q=3."
+156,Heat net flux is the sum of latent heat net flux and sensible heat net flux.
+157,Data for demonstrational purposes only.
+158,Forecast from Machine Learning (ML) model.
+159,"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 (for example, seamless prediction using nowcasting to short-range to medium-range)."
+160,Ensemble members are initialised from different initial condition.
+161,Combination of 7 and 8.
+162,"Ben Bouallègue, Z. (2021). On the verification of the crossing-point forecast. Tellus A: Dynamic Meteorology and Oceanography, 73(1), 1–10. [https://doi.org/10.1080/16000870.2021.1913007]"
+163,In relation to local coordinate axes at a (grid) cell edge.
+164,"When using entry 10, the lower limit is used to encode the quantile q (must be an integer between 0 and Q) while the upper limit is used to encode the total number of quantiles Q. This defines the probability of the parameter falling within quantile q. For instance, to encode the probability of falling within the 10th percentile, then q=10 and Q=100; to encode the probability of falling within the 1st tercile, then q=1 and Q=3."
+165,"Model physics are perturbed (for example, with methods like SPPT, SPP and SKEB."