Update GRIB2_Template_4_123_ProductDefinitionTemplate_en.csv

add NT

Author: amilan17

GRIB2_Template_4_123_ProductDefinitionTemplate_en.csv

@@ -20,7 +20,7 @@ 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,39,1,Hour of end of overall time interval,,,,,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,40,1,Minute of end of overall time interval,,,,,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,41,1,Second of end of overall time interval,,,,,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,42,1,Number of time range,,,,,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,42,1,Number of time range (NT),,,,,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,43-46,4,Number of missing in statistical process,,,,,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 six entries are repeated NT times nt=1:NT,,,,,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,47+(nt-1)*12,,Type of statistical processing,,,,,Operational