Update GRIB2_Template_4_123_ProductDefinitionTemplate_en.csv

Author: amilan17

GRIB2_Template_4_123_ProductDefinitionTemplate_en.csv

@@ -53,7 +53,7 @@ Probability forecasts from large ensembles with spatiotemporal processing based
 Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval,85+(NT-1)*12+NA*5,,Minute of start of reference period,,,,,Operational
 Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval,86+(NT-1)*12+NA*5,,Second of start of reference period,,,,,Operational
 Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval,(87+(NT-1)*12+NA*5)-(90+ (NT-1)*12+NA*5),,Sample size of reference period,,,,,Operational
-Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval,91+(NT-1)*12+NA*5,,Number of reference period time range - NR,(see Note 3),165,,,Operational
+Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval,91+(NT-1)*12+NA*5,,Number of reference period time range (NR),(see Note 3),165,,,Operational
 Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval,,,The next three entries are repeated NR times nr=1:NR,,,,,Operational
 Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval,92+(NT-1)*12+NA*5+(nr-1)*6,,Type of statistical processing for time range for reference period,(see Code table 4.102),,4.102,,Operational
 Probability forecasts from large ensembles with spatiotemporal processing based on focal (moving window) statistics in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval,93+(NT-1)*12+NA*5+(nr-1)*6,,Indicator of unit of time range for reference period,(see Code table 4.4),,4.4,,Operational