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PDTN 89/90 for post-processed quantile fcsts
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@ -71,7 +71,8 @@
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86 86 Quantile forecasts at a horizontal level or in a horizontal layer at a point in time
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86 86 Quantile forecasts at a horizontal level or in a horizontal layer at a point in time
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87 87 Quantile forecasts at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval
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87 87 Quantile forecasts at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval
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88 88 Analysis or forecast at a horizontal level or in a horizontal layer at a specified local time
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88 88 Analysis or forecast at a horizontal level or in a horizontal layer at a specified local time
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# 89-90 Reserved
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89 89 Post-processed quantile forecasts at a horizontal level or in a horizontal layer at a point in time
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90 90 Post-processed quantile forecasts at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval
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91 91 Categorical forecasts at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval
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91 91 Categorical forecasts at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval
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92 92 Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer at a specified local time
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92 92 Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer at a specified local time
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93 93 Post-processing analysis or forecast at a horizontal level or in a horizontal layer at a specified local time
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93 93 Post-processing analysis or forecast at a horizontal level or in a horizontal layer at a specified local time
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@ -94,10 +95,7 @@
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110 110 Average, accumulation, extreme values or other statistically processed values at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval for generic optical products
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110 110 Average, accumulation, extreme values or other statistically processed values at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval for generic optical products
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111 111 Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer, in a continuous or non-continuous interval for generic optical products
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111 111 Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer, in a continuous or non-continuous interval for generic optical products
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112 112 Anomalies, significance and other derived products as probability forecasts in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval
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112 112 Anomalies, significance and other derived products as probability forecasts in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval
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# 113-120 Reserved
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# 113-253 Reserved
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121 121 Post-processed quantile forecasts at a horizontal level or in a horizontal layer at a point in time
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122 122, Post-processed quantile forecasts at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval
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# 123-253 Reserved
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254 254 CCITT IA5 character string
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254 254 CCITT IA5 character string
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# 255-999 Reserved
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# 255-999 Reserved
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1000 1000 Cross-section of analysis and forecast at a point in time
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1000 1000 Cross-section of analysis and forecast at a point in time
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88 gsd Gridded satellite data
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88 gsd Gridded satellite data
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89 ga GFAS analysis
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89 ga GFAS analysis
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90 gai Gridded analysis input
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90 gai Gridded analysis input
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91 gbf bias-corrected gridbox
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91 gbf Bias-corrected gridbox
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92 pfc point values
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92 pfc Point values
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93 ppm point value metrics
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93 ppm Point value metrics
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94 gwt weather types
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94 gwt Weather types
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@ -27,7 +27,7 @@ rm -f $tempGrib
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# 2. Point values
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# 2. Point values
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## we check if we can set PDTN 122 and typeOfPostProcessing to ecPoint, ecPoint versioning, MARS type, quantile
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## we check if we can set PDTN 122 and typeOfPostProcessing to ecPoint, ecPoint versioning, MARS type, quantile
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${tools_dir}/grib_set -s tablesVersion=33,productDefinitionTemplateNumber=122,backgroundProcess=1,\
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${tools_dir}/grib_set -s tablesVersion=33,productDefinitionTemplateNumber=90,backgroundProcess=1,\
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setLocalDefinition=1,grib2LocalSectionNumber=1,type=pfc,class=od,stream=enfo,\
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setLocalDefinition=1,grib2LocalSectionNumber=1,type=pfc,class=od,stream=enfo,\
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totalNumberOfQuantiles=1000,quantileValue=995,\
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totalNumberOfQuantiles=1000,quantileValue=995,\
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generatingProcessIdentifier=2,typeOfPostProcessing=206 $sample_grib2 $tempGrib
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generatingProcessIdentifier=2,typeOfPostProcessing=206 $sample_grib2 $tempGrib
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# 3. Point value metrics
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# 3. Point value metrics
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## we check if we can set PDTN 122 and typeOfPostProcessing to ecPoint, ecPoint versioning, MARS type, quantile
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## we check if we can set PDTN 122 and typeOfPostProcessing to ecPoint, ecPoint versioning, MARS type, quantile
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${tools_dir}/grib_set -s tablesVersion=33,productDefinitionTemplateNumber=122,backgroundProcess=1,\
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${tools_dir}/grib_set -s tablesVersion=33,productDefinitionTemplateNumber=90,backgroundProcess=1,\
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setLocalDefinition=1,grib2LocalSectionNumber=1,type=ppm,class=od,stream=enfo,\
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setLocalDefinition=1,grib2LocalSectionNumber=1,type=ppm,class=od,stream=enfo,\
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totalNumberOfQuantiles=1000,quantileValue=995,\
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totalNumberOfQuantiles=1000,quantileValue=995,\
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generatingProcessIdentifier=2,typeOfPostProcessing=206 $sample_grib2 $tempGrib
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generatingProcessIdentifier=2,typeOfPostProcessing=206 $sample_grib2 $tempGrib
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