├── Check_Set_InParam.mv ├── CompFiles ├── MapFunc │ └── Dev │ │ └── ecPoint_Rainfall │ │ └── 012 │ │ └── Vers1.0.0 │ │ ├── BreakPointsWT.txt │ │ ├── FERs.txt │ │ ├── Histograms │ │ ├── .directory │ │ ├── WT_11111.jpeg │ │ ├── WT_11112.jpeg │ │ ├── WT_11120.jpeg │ │ ├── WT_11211.jpeg │ │ ├── WT_11212.jpeg │ │ ├── WT_11220.jpeg │ │ ├── WT_11230.jpeg │ │ ├── WT_12111.jpeg │ │ ├── WT_12112.jpeg │ │ ├── WT_12113.jpeg │ │ ├── WT_12120.jpeg │ │ ├── WT_12130.jpeg │ │ ├── WT_12211.jpeg │ │ ├── WT_12212.jpeg │ │ ├── WT_12213.jpeg │ │ ├── WT_12221.jpeg │ │ ├── WT_12222.jpeg │ │ ├── WT_12230.jpeg │ │ ├── WT_13111.jpeg │ │ ├── WT_13112.jpeg │ │ ├── WT_13113.jpeg │ │ ├── WT_13120.jpeg │ │ ├── WT_13211.jpeg │ │ ├── WT_13212.jpeg │ │ ├── WT_13220.jpeg │ │ ├── WT_13230.jpeg │ │ ├── WT_13311.jpeg │ │ ├── WT_13312.jpeg │ │ ├── WT_13320.jpeg │ │ ├── WT_14111.jpeg │ │ ├── WT_14112.jpeg │ │ ├── WT_14113.jpeg │ │ ├── WT_14120.jpeg │ │ ├── WT_14211.jpeg │ │ ├── WT_14212.jpeg │ │ ├── WT_14213.jpeg │ │ ├── WT_14221.jpeg │ │ ├── WT_14222.jpeg │ │ ├── WT_14223.jpeg │ │ ├── WT_14230.jpeg │ │ ├── WT_14311.jpeg │ │ ├── WT_14312.jpeg │ │ ├── WT_14320.jpeg │ │ ├── WT_21111.jpeg │ │ ├── WT_21112.jpeg │ │ ├── WT_21113.jpeg │ │ ├── WT_21120.jpeg │ │ ├── WT_21130.jpeg │ │ ├── WT_21211.jpeg │ │ ├── WT_21212.jpeg │ │ ├── WT_21213.jpeg │ │ ├── WT_21220.jpeg │ │ ├── WT_21230.jpeg │ │ ├── WT_21311.jpeg │ │ ├── WT_21312.jpeg │ │ ├── WT_21320.jpeg │ │ ├── WT_22111.jpeg │ │ ├── WT_22112.jpeg │ │ ├── WT_22113.jpeg │ │ ├── WT_22120.jpeg │ │ ├── WT_22130.jpeg │ │ ├── WT_22211.jpeg │ │ ├── WT_22212.jpeg │ │ ├── WT_22213.jpeg │ │ ├── WT_22220.jpeg │ │ ├── WT_22230.jpeg │ │ ├── WT_22311.jpeg │ │ ├── WT_22312.jpeg │ │ ├── WT_22320.jpeg │ │ ├── WT_23110.jpeg │ │ ├── WT_23120.jpeg │ │ ├── WT_23130.jpeg │ │ ├── WT_23211.jpeg │ │ ├── WT_23212.jpeg │ │ ├── WT_23213.jpeg │ │ ├── WT_23221.jpeg │ │ ├── WT_23222.jpeg │ │ ├── WT_23230.jpeg │ │ ├── WT_23311.jpeg │ │ ├── WT_23312.jpeg │ │ ├── WT_23320.jpeg │ │ ├── WT_24110.jpeg │ │ ├── WT_24120.jpeg │ │ ├── WT_24130.jpeg │ │ ├── WT_24211.jpeg │ │ ├── WT_24212.jpeg │ │ ├── WT_24213.jpeg │ │ ├── WT_24221.jpeg │ │ ├── WT_24222.jpeg │ │ ├── WT_24223.jpeg │ │ ├── WT_24230.jpeg │ │ ├── WT_24311.jpeg │ │ ├── WT_24312.jpeg │ │ ├── WT_24320.jpeg │ │ ├── WT_31111.jpeg │ │ ├── WT_31112.jpeg │ │ ├── WT_31113.jpeg │ │ ├── WT_31121.jpeg │ │ ├── WT_31122.jpeg │ │ ├── WT_31131.jpeg │ │ ├── WT_31132.jpeg │ │ ├── WT_31140.jpeg │ │ ├── WT_31211.jpeg │ │ ├── WT_31212.jpeg │ │ ├── WT_31213.jpeg │ │ ├── WT_31220.jpeg │ │ ├── WT_31230.jpeg │ │ ├── WT_31240.jpeg │ │ ├── WT_31311.jpeg │ │ ├── WT_31312.jpeg │ │ ├── WT_31320.jpeg │ │ ├── WT_32111.jpeg │ │ ├── WT_32112.jpeg │ │ ├── WT_32113.jpeg │ │ ├── WT_32120.jpeg │ │ ├── WT_32130.jpeg │ │ ├── WT_32140.jpeg │ │ ├── WT_32211.jpeg │ │ ├── WT_32212.jpeg │ │ ├── WT_32213.jpeg │ │ ├── WT_32221.jpeg │ │ ├── WT_32222.jpeg │ │ ├── WT_32230.jpeg │ │ ├── WT_32240.jpeg │ │ ├── WT_32311.jpeg │ │ ├── WT_32312.jpeg │ │ ├── WT_32320.jpeg │ │ ├── WT_33110.jpeg │ │ ├── WT_33120.jpeg │ │ ├── WT_33130.jpeg │ │ ├── WT_33211.jpeg │ │ ├── WT_33212.jpeg │ │ ├── WT_33220.jpeg │ │ ├── WT_33230.jpeg │ │ ├── WT_33311.jpeg │ │ ├── WT_33312.jpeg │ │ ├── WT_33321.jpeg │ │ ├── WT_33322.jpeg │ │ ├── WT_34110.jpeg │ │ ├── WT_34120.jpeg │ │ ├── WT_34130.jpeg │ │ ├── WT_34210.jpeg │ │ ├── WT_34220.jpeg │ │ ├── WT_34230.jpeg │ │ ├── WT_34310.jpeg │ │ ├── WT_34320.jpeg │ │ ├── WT_35100.jpeg │ │ ├── WT_35200.jpeg │ │ ├── WT_35300.jpeg │ │ ├── WT_41111.jpeg │ │ ├── WT_41112.jpeg │ │ ├── WT_41113.jpeg │ │ ├── WT_41121.jpeg │ │ ├── WT_41122.jpeg │ │ ├── WT_41131.jpeg │ │ ├── WT_41132.jpeg │ │ ├── WT_41141.jpeg │ │ ├── WT_41142.jpeg │ │ ├── WT_41211.jpeg │ │ ├── WT_41212.jpeg │ │ ├── WT_41213.jpeg │ │ ├── WT_41221.jpeg │ │ ├── WT_41222.jpeg │ │ ├── WT_41223.jpeg │ │ ├── WT_41230.jpeg │ │ ├── WT_41240.jpeg │ │ ├── WT_41311.jpeg │ │ ├── WT_41312.jpeg │ │ ├── WT_41313.jpeg │ │ ├── WT_41320.jpeg │ │ ├── WT_42111.jpeg │ │ ├── WT_42112.jpeg │ │ ├── WT_42113.jpeg │ │ ├── WT_42120.jpeg │ │ ├── WT_42130.jpeg │ │ ├── WT_42140.jpeg │ │ ├── WT_42211.jpeg │ │ ├── WT_42212.jpeg │ │ ├── WT_42213.jpeg │ │ ├── WT_42221.jpeg │ │ ├── WT_42222.jpeg │ │ ├── WT_42223.jpeg │ │ ├── WT_42230.jpeg │ │ ├── WT_42240.jpeg │ │ ├── WT_42311.jpeg │ │ ├── WT_42312.jpeg │ │ ├── WT_42321.jpeg │ │ ├── WT_42322.jpeg │ │ ├── WT_43110.jpeg │ │ ├── WT_43120.jpeg │ │ ├── WT_43130.jpeg │ │ ├── WT_43141.jpeg │ │ ├── WT_43142.jpeg │ │ ├── WT_43211.jpeg │ │ ├── WT_43212.jpeg │ │ ├── WT_43220.jpeg │ │ ├── WT_43230.jpeg │ │ ├── WT_43240.jpeg │ │ ├── WT_43311.jpeg │ │ ├── WT_43312.jpeg │ │ ├── WT_43320.jpeg │ │ ├── WT_44110.jpeg │ │ ├── WT_44120.jpeg │ │ ├── WT_44130.jpeg │ │ ├── WT_44140.jpeg │ │ ├── WT_44210.jpeg │ │ ├── WT_44220.jpeg │ │ ├── WT_44230.jpeg │ │ ├── WT_44240.jpeg │ │ ├── WT_44310.jpeg │ │ ├── WT_44320.jpeg │ │ ├── WT_45100.jpeg │ │ ├── WT_45200.jpeg │ │ └── WT_45300.jpeg │ │ └── Predict.mv └── Samples │ └── ECMWF_ENS_18km │ ├── Global │ └── Global.grib │ └── SubArea │ ├── 10 │ └── SubArea.grib │ ├── 20 │ └── SubArea.grib │ └── 05 │ └── SubArea.grib ├── EnsPtRain_GridRain_WT.mv ├── FileSystem.mv ├── InParam.mv ├── Predict.mv ├── PtRainPerc_MergeSA.mv ├── README.md └── ecPoint.mv /Check_Set_InParam.mv: -------------------------------------------------------------------------------- 1 | # Metview Macro 2 | 3 | # **************************** LICENSE START *********************************** 4 | # 5 | # Copyright 2020 ECMWF. This software is distributed under the terms 6 | # of the Apache License version 2.0. In applying this license, ECMWF does not 7 | # waive the privileges and immunities granted to it by virtue of its status as 8 | # an Intergovernmental Organization or submit itself to any jurisdiction. 9 | # 10 | # ***************************** LICENSE END ************************************ 11 | 12 | ############################ 13 | # # 14 | # Check_Set_InParam.mv # 15 | # # 16 | ############################ 17 | 18 | 19 | # ------------------------------------------------ # 20 | # Checking the correctness of the input parameters # 21 | # ------------------------------------------------ # 22 | 23 | # to complete 24 | 25 | 26 | # -------------------------------------------- # 27 | # Set some variables from the input parameters # 28 | # -------------------------------------------- # 29 | 30 | # General Parameters 31 | vector_set_default_type(PrecFloat) 32 | numEM = EnsMemF - EnsMemS + 1 33 | AccSTR = left_pad_number(Acc,NumDigAcc) 34 | SubAreaSTR = left_pad_number(NumSA,NumDigSA) 35 | 36 | # Parameters related to the variable to post-processed 37 | if Var2PP = "Rainfall" then 38 | Predictand=[228.128,"sfc",0] 39 | Min_Predictand_Value=0.04 40 | PP_Param=[82.128,"sfc",0] 41 | else 42 | print("Not other parameters included yet.") 43 | end if 44 | PP_Code = PP_Param[1] 45 | PP_levtype = PP_Param[2] 46 | PP_level = PP_Param[3] 47 | 48 | # Percentiles to compute 49 | Perc = parse(Perc, ",") 50 | NumPerc = count(Perc) 51 | -------------------------------------------------------------------------------- /CompFiles/MapFunc/Dev/ecPoint_Rainfall/012/Vers1.0.0/BreakPointsWT.txt: -------------------------------------------------------------------------------- 1 | WTcode,cpr_thrL,cpr_thrH,tp_acc_thrL,tp_acc_thrH,wspd700_thrL,wspd700_thrH,cape_wa_thrL,cape_wa_thrH,sr24h_thrL,sr24h_thrH 2 | 11111,-9999,0.25,-9999,2,-9999,5,-9999,50,-9999,70 3 | 11112,-9999,0.25,-9999,2,-9999,5,-9999,50,70,9999 4 | 11120,-9999,0.25,-9999,2,-9999,5,50,9999,-9999,9999 5 | 11211,-9999,0.25,-9999,2,5,9999,-9999,50,-9999,70 6 | 11212,-9999,0.25,-9999,2,5,9999,-9999,50,70,9999 7 | 11220,-9999,0.25,-9999,2,5,9999,50,500,-9999,9999 8 | 11230,-9999,0.25,-9999,2,5,9999,500,9999,-9999,9999 9 | 12111,-9999,0.25,2,4,-9999,5,-9999,50,-9999,70 10 | 12112,-9999,0.25,2,4,-9999,5,-9999,50,70,275 11 | 12113,-9999,0.25,2,4,-9999,5,-9999,50,275,9999 12 | 12120,-9999,0.25,2,4,-9999,5,50,500,-9999,9999 13 | 12130,-9999,0.25,2,4,-9999,5,500,9999,-9999,9999 14 | 12211,-9999,0.25,2,4,5,9999,-9999,50,-9999,70 15 | 12212,-9999,0.25,2,4,5,9999,-9999,50,70,275 16 | 12213,-9999,0.25,2,4,5,9999,-9999,50,275,9999 17 | 12221,-9999,0.25,2,4,5,9999,50,500,-9999,70 18 | 12222,-9999,0.25,2,4,5,9999,50,500,70,9999 19 | 12230,-9999,0.25,2,4,5,9999,500,9999,-9999,9999 20 | 13111,-9999,0.25,4,10,-9999,5,-9999,50,-9999,70 21 | 13112,-9999,0.25,4,10,-9999,5,-9999,50,70,275 22 | 13113,-9999,0.25,4,10,-9999,5,-9999,50,275,9999 23 | 13120,-9999,0.25,4,10,-9999,5,50,9999,-9999,9999 24 | 13211,-9999,0.25,4,10,5,20,-9999,50,-9999,70 25 | 13212,-9999,0.25,4,10,5,20,-9999,50,70,9999 26 | 13220,-9999,0.25,4,10,5,20,50,500,-9999,9999 27 | 13230,-9999,0.25,4,10,5,20,500,9999,-9999,9999 28 | 13311,-9999,0.25,4,10,20,9999,-9999,50,-9999,70 29 | 13312,-9999,0.25,4,10,20,9999,-9999,50,70,9999 30 | 13320,-9999,0.25,4,10,20,9999,50,9999,-9999,9999 31 | 14111,-9999,0.25,10,9999,-9999,5,-9999,50,-9999,70 32 | 14112,-9999,0.25,10,9999,-9999,5,-9999,50,70,275 33 | 14113,-9999,0.25,10,9999,-9999,5,-9999,50,275,9999 34 | 14120,-9999,0.25,10,9999,-9999,5,50,9999,-9999,9999 35 | 14211,-9999,0.25,10,9999,5,20,-9999,50,-9999,70 36 | 14212,-9999,0.25,10,9999,5,20,-9999,50,70,275 37 | 14213,-9999,0.25,10,9999,5,20,-9999,50,275,9999 38 | 14221,-9999,0.25,10,9999,5,20,50,500,-9999,70 39 | 14222,-9999,0.25,10,9999,5,20,50,500,70,275 40 | 14223,-9999,0.25,10,9999,5,20,50,500,275,9999 41 | 14230,-9999,0.25,10,9999,5,20,500,9999,-9999,9999 42 | 14311,-9999,0.25,10,9999,20,9999,-9999,50,-9999,70 43 | 14312,-9999,0.25,10,9999,20,9999,-9999,50,70,9999 44 | 14320,-9999,0.25,10,9999,20,9999,50,9999,-9999,9999 45 | 21111,0.25,0.5,-9999,2,-9999,5,-9999,50,-9999,70 46 | 21112,0.25,0.5,-9999,2,-9999,5,-9999,50,70,275 47 | 21113,0.25,0.5,-9999,2,-9999,5,-9999,50,275,9999 48 | 21120,0.25,0.5,-9999,2,-9999,5,50,500,-9999,9999 49 | 21130,0.25,0.5,-9999,2,-9999,5,500,9999,-9999,9999 50 | 21211,0.25,0.5,-9999,2,5,20,-9999,50,-9999,70 51 | 21212,0.25,0.5,-9999,2,5,20,-9999,50,70,275 52 | 21213,0.25,0.5,-9999,2,5,20,-9999,50,275,9999 53 | 21220,0.25,0.5,-9999,2,5,20,50,500,-9999,9999 54 | 21230,0.25,0.5,-9999,2,5,20,500,9999,-9999,9999 55 | 21311,0.25,0.5,-9999,2,20,9999,-9999,50,-9999,70 56 | 21312,0.25,0.5,-9999,2,20,9999,-9999,50,70,9999 57 | 21320,0.25,0.5,-9999,2,20,9999,50,9999,-9999,9999 58 | 22111,0.25,0.5,2,4,-9999,5,-9999,50,-9999,70 59 | 22112,0.25,0.5,2,4,-9999,5,-9999,50,70,275 60 | 22113,0.25,0.5,2,4,-9999,5,-9999,50,275,9999 61 | 22120,0.25,0.5,2,4,-9999,5,50,500,-9999,9999 62 | 22130,0.25,0.5,2,4,-9999,5,500,9999,-9999,9999 63 | 22211,0.25,0.5,2,4,5,20,-9999,50,-9999,70 64 | 22212,0.25,0.5,2,4,5,20,-9999,50,70,275 65 | 22213,0.25,0.5,2,4,5,20,-9999,50,275,9999 66 | 22220,0.25,0.5,2,4,5,20,50,500,-9999,9999 67 | 22230,0.25,0.5,2,4,5,20,500,9999,-9999,9999 68 | 22311,0.25,0.5,2,4,20,9999,-9999,50,-9999,70 69 | 22312,0.25,0.5,2,4,20,9999,-9999,50,70,9999 70 | 22320,0.25,0.5,2,4,20,9999,50,9999,-9999,9999 71 | 23110,0.25,0.5,4,10,-9999,5,-9999,50,-9999,9999 72 | 23120,0.25,0.5,4,10,-9999,5,50,500,-9999,9999 73 | 23130,0.25,0.5,4,10,-9999,5,500,9999,-9999,9999 74 | 23211,0.25,0.5,4,10,5,20,-9999,50,-9999,70 75 | 23212,0.25,0.5,4,10,5,20,-9999,50,70,275 76 | 23213,0.25,0.5,4,10,5,20,-9999,50,275,9999 77 | 23221,0.25,0.5,4,10,5,20,50,500,-9999,70 78 | 23222,0.25,0.5,4,10,5,20,50,500,70,9999 79 | 23230,0.25,0.5,4,10,5,20,500,9999,-9999,9999 80 | 23311,0.25,0.5,4,10,20,9999,-9999,50,-9999,70 81 | 23312,0.25,0.5,4,10,20,9999,-9999,50,70,9999 82 | 23320,0.25,0.5,4,10,20,9999,50,9999,-9999,9999 83 | 24110,0.25,0.5,10,9999,-9999,5,-9999,50,-9999,9999 84 | 24120,0.25,0.5,10,9999,-9999,5,50,500,-9999,9999 85 | 24130,0.25,0.5,10,9999,-9999,5,500,9999,-9999,9999 86 | 24211,0.25,0.5,10,9999,5,20,-9999,50,-9999,70 87 | 24212,0.25,0.5,10,9999,5,20,-9999,50,70,275 88 | 24213,0.25,0.5,10,9999,5,20,-9999,50,275,9999 89 | 24221,0.25,0.5,10,9999,5,20,50,500,-9999,70 90 | 24222,0.25,0.5,10,9999,5,20,50,500,70,275 91 | 24223,0.25,0.5,10,9999,5,20,50,500,275,9999 92 | 24230,0.25,0.5,10,9999,5,20,500,9999,-9999,9999 93 | 24311,0.25,0.5,10,9999,20,9999,-9999,50,-9999,70 94 | 24312,0.25,0.5,10,9999,20,9999,-9999,50,70,9999 95 | 24320,0.25,0.5,10,9999,20,9999,50,9999,-9999,9999 96 | 31111,0.5,0.75,-9999,2,-9999,5,-9999,50,-9999,70 97 | 31112,0.5,0.75,-9999,2,-9999,5,-9999,50,70,275 98 | 31113,0.5,0.75,-9999,2,-9999,5,-9999,50,275,9999 99 | 31121,0.5,0.75,-9999,2,-9999,5,50,500,-9999,275 100 | 31122,0.5,0.75,-9999,2,-9999,5,50,500,275,9999 101 | 31131,0.5,0.75,-9999,2,-9999,5,500,1000,-9999,275 102 | 31132,0.5,0.75,-9999,2,-9999,5,500,1000,275,9999 103 | 31140,0.5,0.75,-9999,2,-9999,5,1000,9999,-9999,9999 104 | 31211,0.5,0.75,-9999,2,5,20,-9999,50,-9999,70 105 | 31212,0.5,0.75,-9999,2,5,20,-9999,50,70,275 106 | 31213,0.5,0.75,-9999,2,5,20,-9999,50,275,9999 107 | 31220,0.5,0.75,-9999,2,5,20,50,500,-9999,9999 108 | 31230,0.5,0.75,-9999,2,5,20,500,1000,-9999,9999 109 | 31240,0.5,0.75,-9999,2,5,20,1000,9999,-9999,9999 110 | 31311,0.5,0.75,-9999,2,20,9999,-9999,50,-9999,70 111 | 31312,0.5,0.75,-9999,2,20,9999,-9999,50,70,9999 112 | 31320,0.5,0.75,-9999,2,20,9999,50,9999,-9999,9999 113 | 32111,0.5,0.75,2,4,-9999,5,-9999,50,-9999,70 114 | 32112,0.5,0.75,2,4,-9999,5,-9999,50,70,275 115 | 32113,0.5,0.75,2,4,-9999,5,-9999,50,275,9999 116 | 32120,0.5,0.75,2,4,-9999,5,50,500,-9999,9999 117 | 32130,0.5,0.75,2,4,-9999,5,500,1000,-9999,9999 118 | 32140,0.5,0.75,2,4,-9999,5,1000,9999,-9999,9999 119 | 32211,0.5,0.75,2,4,5,20,-9999,50,-9999,70 120 | 32212,0.5,0.75,2,4,5,20,-9999,50,70,275 121 | 32213,0.5,0.75,2,4,5,20,-9999,50,275,9999 122 | 32221,0.5,0.75,2,4,5,20,50,500,-9999,70 123 | 32222,0.5,0.75,2,4,5,20,50,500,70,9999 124 | 32230,0.5,0.75,2,4,5,20,500,1000,-9999,9999 125 | 32240,0.5,0.75,2,4,5,20,1000,9999,-9999,9999 126 | 32311,0.5,0.75,2,4,20,9999,-9999,50,-9999,70 127 | 32312,0.5,0.75,2,4,20,9999,-9999,50,70,9999 128 | 32320,0.5,0.75,2,4,20,9999,50,9999,-9999,9999 129 | 33110,0.5,0.75,4,10,-9999,5,-9999,50,-9999,9999 130 | 33120,0.5,0.75,4,10,-9999,5,50,500,-9999,9999 131 | 33130,0.5,0.75,4,10,-9999,5,500,9999,-9999,9999 132 | 33211,0.5,0.75,4,10,5,20,-9999,50,-9999,70 133 | 33212,0.5,0.75,4,10,5,20,-9999,50,70,9999 134 | 33220,0.5,0.75,4,10,5,20,50,500,-9999,9999 135 | 33230,0.5,0.75,4,10,5,20,500,9999,-9999,9999 136 | 33311,0.5,0.75,4,10,20,9999,-9999,50,-9999,70 137 | 33312,0.5,0.75,4,10,20,9999,-9999,50,70,9999 138 | 33321,0.5,0.75,4,10,20,9999,50,9999,-9999,70 139 | 33322,0.5,0.75,4,10,20,9999,50,9999,70,9999 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https://raw.githubusercontent.com/ecmwf/ecPoint/9525e2c8bac707328a2357f2eea69a01ed035f7c/CompFiles/MapFunc/Dev/ecPoint_Rainfall/012/Vers1.0.0/Histograms/WT_45300.jpeg -------------------------------------------------------------------------------- /CompFiles/MapFunc/Dev/ecPoint_Rainfall/012/Vers1.0.0/Predict.mv: -------------------------------------------------------------------------------- 1 | # Metview Macro 2 | 3 | ######################## 4 | # # 5 | # Predict.mv # 6 | # # 7 | # ecPoint-Rainfall # 8 | # Version 1.2 # 9 | # # 10 | ######################## 11 | 12 | print(" (Rainfall - Version 1.2)") 13 | 14 | # Codes for the header of the grib file that will store the predictand and the predictors 15 | MyPredicts = [228.128, 143.128, 228.128, 10.128, 59.128, 228022] 16 | MyLevelTypes = ["sfc", "sfc", "sfc", "pl", "sfc", "sfc"] 17 | MyLevels = [0,0,0,700,0,0] 18 | ######################################################################################### 19 | 20 | 21 | # ------------------------------------ # 22 | # Computation of the steps to consider # 23 | # ------------------------------------ # 24 | 25 | StepF = StepS + Acc 26 | step1 = StepS 27 | step2 = step1 + Acc/2 28 | step3 = StepF 29 | step1STR = left_pad_number(step1,NumDigStep) 30 | step2STR = left_pad_number(step2,NumDigStep) 31 | step3STR = left_pad_number(step3,NumDigStep) 32 | 33 | if StepF <= 24 then 34 | step1SR = 0 35 | step2SR = 24 36 | else 37 | step1SR = StepF - 24 38 | step2SR = StepF 39 | end if 40 | step1SR_STR = left_pad_number(step1SR,NumDigStep) 41 | step2SR_STR = left_pad_number(step2SR,NumDigStep) 42 | 43 | 44 | # ----------------------------------------------------- # 45 | # Check the existance of the data in the input database # 46 | # ----------------------------------------------------- # 47 | 48 | WDIR_InDB = DataBaseDir & "/" & BaseDateSTR & BaseTimeSTR # Input Database 49 | File_tp_1 = WDIR_InDB & "/" & step1STR & "/" & "228_" & step1STR & ".grib" 50 | File_tp_3 = WDIR_InDB & "/" & step3STR & "/" & "228_" & step3STR & ".grib" 51 | File_cp_1 = WDIR_InDB & "/" & step1STR & "/" & "143_" & step1STR & ".grib" 52 | File_cp_3 = WDIR_InDB & "/" & step3STR & "/" & "143_" & step3STR & ".grib" 53 | File_u700_1 = WDIR_InDB & "/" & step1STR & "/" & "131_" & step1STR & ".grib" 54 | File_u700_2 = WDIR_InDB & "/" & step2STR & "/" & "131_" & step2STR & ".grib" 55 | File_u700_3 = WDIR_InDB & "/" & step3STR & "/" & "131_" & step3STR & ".grib" 56 | File_v700_1 = WDIR_InDB & "/" & step1STR & "/" & "132_" & step1STR & ".grib" 57 | File_v700_2 = WDIR_InDB & "/" & step2STR & "/" & "132_" & step2STR & ".grib" 58 | File_v700_3 = WDIR_InDB & "/" & step3STR & "/" & "132_" & step3STR & ".grib" 59 | File_cape_1 = WDIR_InDB & "/" & step1STR & "/" & "59_" & step1STR & ".grib" 60 | File_cape_2 = WDIR_InDB & "/" & step2STR & "/" & "59_" & step2STR & ".grib" 61 | File_cape_3 = WDIR_InDB & "/" & step3STR & "/" & "59_" & step3STR & ".grib" 62 | File_sr_1 = WDIR_InDB & "/" & step1SR_STR & "/" & "22_" & step1SR_STR & ".grib" 63 | File_sr_2 = WDIR_InDB & "/" & step2SR_STR & "/" & "22_" & step2SR_STR & ".grib" 64 | 65 | if not(exist(File_tp_1)) or not(exist(File_tp_3)) or not(exist(File_cp_1)) or not(exist(File_cp_3)) or not(exist(File_u700_1)) or not(exist(File_u700_2)) or not(exist(File_u700_3)) or not(exist(File_v700_1)) or not(exist(File_v700_2)) or not(exist(File_v700_3)) or not(exist(File_cape_1)) or not(exist(File_cape_2)) or not(exist(File_cape_3)) or not(exist(File_sr_1)) or not(exist(File_sr_2)) then 66 | fail("Some input data missing. Check the input database.") 67 | end if 68 | 69 | 70 | # ------------------------------------- # 71 | # Predictand and predictors computation # 72 | # ------------------------------------- # 73 | 74 | # Predictand: Total Precipitation 75 | # N.B.: the predictand is always the first field saved in the grib file 76 | 77 | print(" ") 78 | print(" a. Processing the predictand...") 79 | print(" Total Precipitation (" & MyPredicts[1] & ", " & MyLevelTypes[1] & ", " & MyLevels[1] & ")") 80 | 81 | tp_1 = read(File_tp_1) 82 | tp_3 = read(File_tp_3) 83 | tp = (tp_3 - tp_1) * 1000 84 | for i = EnsMemS to EnsMemF do # setting some parameters in the grib header 85 | tp[i+1] = grib_set_string(tp[i+1],["type", "pf"]) 86 | tp[i+1] = grib_set_double(tp[i+1], ["perturbationNumber", i, "step", StepF]) 87 | tp[i+1] = grib_set_long(tp[i+1], ["paramId", MyPredicts[1]]) 88 | end for 89 | pred = tp 90 | 91 | 92 | # Predictors 93 | print(" ") 94 | print(" b. Processing the predictors...") 95 | 96 | # --------------------------------- # 97 | # 1. Convective Precipitation Ratio 98 | print(" -) Convective Precipitation Ratio (" & MyPredicts[2] & ", " & MyLevelTypes[2] & ", " & MyLevels[2] & ")") 99 | 100 | cp_1 = read(File_cp_1) 101 | cp_3 = read(File_cp_3) 102 | cp = (cp_3 - cp_1) * 1000 103 | tp_bitmap = 9999*(tp=0) + tp*(tp<>0) # Bitmap the values were tp=0 to compute cpr=cp/tp 104 | cpr_bitmap = cp / tp_bitmap 105 | cpr = cpr_bitmap*(tp_bitmap<>9999) 106 | for i = EnsMemS to EnsMemF do # setting some parameters in the grib header 107 | cp[i+1] = grib_set_string(cp[i+1],["type", "pf"]) 108 | cp[i+1] = grib_set_double(cp[i+1], ["perturbationNumber", i, "step", StepF]) 109 | cp[i+1] = grib_set_long(cp[i+1], ["paramId", MyPredicts[2]]) 110 | end for 111 | pred = pred & cpr 112 | 113 | # ----------------------------------------- # 114 | # 2. Total Precipitation (already computed) 115 | print(" -) Total Precipitation (" & MyPredicts[3] & ", " & MyLevelTypes[3] & ", " & MyLevels[3] & ")") 116 | pred = pred & tp 117 | 118 | # ------------------------- # 119 | # 3. Wind Speed at 700 mbar 120 | print(" -) Wind Speed at 700 mbar (" & MyPredicts[4] & ", " & MyLevelTypes[4] & ", " & MyLevels[4] & ")") 121 | u700_1 = read(File_u700_1) 122 | u700_2 = read(File_u700_2) 123 | u700_3 = read(File_u700_3) 124 | u700 = (0.5*u700_1 + u700_2 + 0.5*u700_3)/2 125 | v700_1 = read(File_v700_1) 126 | v700_2 = read(File_v700_2) 127 | v700_3 = read(File_v700_3) 128 | v700 = (0.5*v700_1 + v700_2 + 0.5*v700_3)/2 129 | wspd700 = sqrt(u700^2 + v700^2) 130 | for i = EnsMemS to EnsMemF do # setting some parameters in the grib header 131 | wspd700[i+1] = grib_set_string(wspd700[i+1],["type", "pf"]) 132 | wspd700[i+1] = grib_set_double(wspd700[i+1], ["perturbationNumber", i, "step", StepF]) 133 | wspd700[i+1] = grib_set_long(wspd700[i+1], ["paramId", MyPredicts[4]]) 134 | end for 135 | pred = pred & wspd700 136 | 137 | # ------- # 138 | # 4. CAPE 139 | print(" -) CAPE (" & MyPredicts[5] & ", " & MyLevelTypes[5] & ", " & MyLevels[5] & ")") 140 | cape_1 = read(File_cape_1) 141 | cape_2 = read(File_cape_2) 142 | cape_3 = read(File_cape_3) 143 | cape = (0.5*cape_1 + cape_2 + 0.5*cape_3)/2 144 | for i = EnsMemS to EnsMemF do # setting some parameters in the grib header 145 | cape[i+1] = grib_set_string(cape[i+1],["type", "pf"]) 146 | cape[i+1] = grib_set_double(cape[i+1], ["perturbationNumber", i, "step", StepF]) 147 | cape[i+1] = grib_set_long(cape[i+1], ["paramId", MyPredicts[5]]) 148 | end for 149 | pred = pred & cape 150 | 151 | # ------------------------------------------- # 152 | # 5. Solar Radiation (24-hourly Accumulation) 153 | print(" -) Daily Accumulation of Solar Radiation (" & MyPredicts[6] & ", " & MyLevelTypes[6] & ", " & MyLevels[6] & ")") 154 | sr_1 = read(File_sr_1) 155 | sr_2 = read(File_sr_2) 156 | sr24h = (sr_2 - sr_1) / 86400 157 | for i = EnsMemS to EnsMemF do # setting some parameters in the grib header 158 | sr24h[i+1] = grib_set_string(sr24h[i+1],["type", "pf"]) 159 | sr24h[i+1] = grib_set_double(sr24h[i+1], ["perturbationNumber", i, "step", StepF]) 160 | sr24h[i+1] = grib_set_long(sr24h[i+1], ["paramId", MyPredicts[6]]) 161 | end for 162 | pred = pred & sr24h 163 | 164 | 165 | # -------------------------------- # 166 | # Saving predictand and predictors # 167 | # -------------------------------- # 168 | 169 | print(" ") 170 | print(" c. Saving predictand and predictors, splitting them in the " & string(numEM) & " EMs...") 171 | 172 | for indEM = EnsMemS to EnsMemF do 173 | 174 | indEMSTR = left_pad_number(indEM,NumDigEM) 175 | 176 | temp = nil 177 | for indPred = 1 to count(MyPredicts) do # selection of the parameters for the same EM 178 | ind = (((numEM * indPred) + 1) - numEM) + indEM 179 | temp = temp & pred[ind] 180 | end for 181 | 182 | FileOUT = WDIR1 & "/" & BaseDateSTR & BaseTimeSTR & "/" & StepFSTR & "/" & indEMSTR & "/" & NameFile1 & "_" & indEMSTR & ".grib" 183 | write(FileOUT, temp) 184 | 185 | end for -------------------------------------------------------------------------------- /CompFiles/Samples/ECMWF_ENS_18km/Global/Global.grib: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ecmwf/ecPoint/9525e2c8bac707328a2357f2eea69a01ed035f7c/CompFiles/Samples/ECMWF_ENS_18km/Global/Global.grib -------------------------------------------------------------------------------- /CompFiles/Samples/ECMWF_ENS_18km/SubArea/05/SubArea.grib: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ecmwf/ecPoint/9525e2c8bac707328a2357f2eea69a01ed035f7c/CompFiles/Samples/ECMWF_ENS_18km/SubArea/05/SubArea.grib -------------------------------------------------------------------------------- /CompFiles/Samples/ECMWF_ENS_18km/SubArea/10/SubArea.grib: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ecmwf/ecPoint/9525e2c8bac707328a2357f2eea69a01ed035f7c/CompFiles/Samples/ECMWF_ENS_18km/SubArea/10/SubArea.grib -------------------------------------------------------------------------------- /CompFiles/Samples/ECMWF_ENS_18km/SubArea/20/SubArea.grib: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ecmwf/ecPoint/9525e2c8bac707328a2357f2eea69a01ed035f7c/CompFiles/Samples/ECMWF_ENS_18km/SubArea/20/SubArea.grib -------------------------------------------------------------------------------- /EnsPtRain_GridRain_WT.mv: -------------------------------------------------------------------------------- 1 | # Metview Macro 2 | 3 | ################################ 4 | # # 5 | # EnsPtRain_GridRain_WT.mv # 6 | # # 7 | ################################ 8 | 9 | 10 | # --------------------------------------------------------------------- # 11 | # Importing breakpoints and forecast error ratios for each weather type # 12 | # --------------------------------------------------------------------- # 13 | 14 | TableBP = read_table( 15 | table_delimiter : ",", 16 | table_header_row : 1, 17 | table_filename : FileBP 18 | ) 19 | codesWT = values(TableBP,1) # weather type codes 20 | nPRED = (count(TableBP) - 1)/2 # number of predictors 21 | nWT = count(codesWT) # number of weather types 22 | 23 | TableFER = read_table( 24 | table_delimiter : ",", 25 | table_header_row : 1, 26 | table_filename : FileFER 27 | ) 28 | nFER = count(TableFER) - 1 # number of FERs and size of the new ensemble 29 | FERs = matrix(nWT,nFER) 30 | for j = 1 to nFER do 31 | temp = values(TableFER,j+1) 32 | for i = 1 to nWT do 33 | FERs[i,j] = temp[i] 34 | end for 35 | end for 36 | 37 | ########################################################################## 38 | 39 | 40 | for CodeEM = EnsMemS to EnsMemF do 41 | 42 | CodeEMSTR = left_pad_number(CodeEM,NumDigEM) 43 | print(" ") 44 | print(" EM n." & CodeEMSTR) 45 | 46 | 47 | # ----------------------------------------------------------- # 48 | # Reading the input file containing predictand and predictors # 49 | # ----------------------------------------------------------- # 50 | 51 | FileIN = WDIR1 & "/" & BaseDateSTR & BaseTimeSTR & "/" & StepFSTR & "/" & CodeEMSTR & "/" & NameFile1 & "_" & CodeEMSTR & ".grib" 52 | print(" a. Reading predictant and predictors from '" & FileIN & "'") 53 | pred = read(FileIN) 54 | 55 | Template = pred[1] 56 | BaseDate = number((grib_get(pred[1], ["dataDate"]))[1][1]) 57 | BaseTime = number((grib_get(pred[1], ["dataTime"]))[1][1]) 58 | Step = number((grib_get(pred[1], ["stepRange"]))[1][1]) 59 | CodeEM = number((grib_get(pred[1], ["number"]))[1][1]) 60 | 61 | pred = values(pred) 62 | predictand = pred[1] 63 | predictors = pred[2,count(pred)] 64 | predictand = (predictand >= Min_Predictand_Value) * predictand # the values that are considered too small to be reliable due to packing issues are turn into zeros 65 | 66 | 67 | # ------------------------------------------- # 68 | # Post-processing the single ensemble members # 69 | # ------------------------------------------- # 70 | 71 | print(" b. Post-processing the raw EM with " & nWT & " weather types (WT)...") 72 | CDF_SingleENS_AllWT = 0 73 | CodesWT_SingleENS_AllWT = 0 74 | nGridGL = count(predictand) 75 | 76 | for CodeWT = 1 to nWT do 77 | 78 | # Pinpointing the WT location in the global field 79 | tempWT = vector(nGridGL) + 1 # creating a neutral vector with the same dimensions of a GL field (it contains only ones for the first loop) 80 | ind_inf = 2 # the first row is excluded as it contains the WT codes 81 | ind_sup = 3 82 | 83 | for CodePred = 1 to nPRED do # verifing the BPs for the considered WT 84 | 85 | thr_inf = values(TableBP,ind_inf)[CodeWT] 86 | thr_sup = values(TableBP,ind_sup)[CodeWT] 87 | 88 | tempWT1 = (predictors[CodePred]>=thr_inf and predictors[CodePred]=Min_Predictand_Value)*CodesWT_SingleENS_AllWT) 129 | WT_Codes = set_values(Template, WT_Codes) 130 | write(FileOUT3, WT_Codes) 131 | 132 | 133 | # CDF for point rainfall values (sub-area field) 134 | PathOUT1 = WDIR21 & "/" & BaseDateSTR & BaseTimeSTR & "/" & StepFSTR 135 | print(" e. Saving the point rainfall CDF, splitting it up in " & int(NumSA) & " sub-areas (SA), in '" & PathOUT1 & "'") 136 | PP_Param_Code = PP_Param[1] 137 | PP_Param_Levtype = PP_Param[2] 138 | PP_Param_Level = PP_Param[3] 139 | sampleSA = read(FileSA) 140 | sampleSA = grib_set(sampleSA, ["class", "od", "stream", "enfo", "type", "pf", "number", CodeEM, "expver", 1, "paramId", int(PP_Param_Code), "level", PP_Param_Level, "levtype", PP_Param_Levtype, "dataDate", BaseDate, "dataTime", BaseTime, "stepRange", Step]) 141 | nGridSA = count(values(sampleSA)) # number of grid points in the sub-area field 142 | sampleSA_grib = duplicate(sampleSA,nFER) # create the grib files that will contain the CDF in the SA field 143 | sampleSA_list = values(sampleSA_grib) 144 | 145 | for CodeSA = 1 to NumSA do 146 | 147 | CodeSASTR = left_pad_number(CodeSA,NumDigSA) 148 | 149 | for i = 1 to nFER do 150 | temp_gl = CDF_SingleENS_AllWT[i] 151 | gridSA_i = 1 + nGridSA * CodeSA - nGridSA 152 | gridSA_f = gridSA_i + nGridSA - 1 153 | sampleSA_list[i] = temp_gl[gridSA_i,gridSA_f] 154 | end for 155 | 156 | sampleSA_grib = set_values(sampleSA_grib, sampleSA_list) # converting the list to grib 157 | FileOUT1 = PathOUT1 & "/" & CodeSASTR & "/" & NameFile21 & "_" & CodeSASTR & "_" & CodeEMSTR & ".grib" 158 | write(FileOUT1, sampleSA_grib) 159 | 160 | end for 161 | 162 | end for 163 | -------------------------------------------------------------------------------- /FileSystem.mv: -------------------------------------------------------------------------------- 1 | #Metview Macro 2 | 3 | # **************************** LICENSE START *********************************** 4 | # 5 | # Copyright 2020 ECMWF. This software is distributed under the terms 6 | # of the Apache License version 2.0. In applying this license, ECMWF does not 7 | # waive the privileges and immunities granted to it by virtue of its status as 8 | # an Intergovernmental Organization or submit itself to any jurisdiction. 9 | # 10 | # ***************************** LICENSE END ************************************ 11 | 12 | ##################### 13 | # # 14 | # FileSystem.mv # 15 | # # 16 | ##################### 17 | 18 | 19 | # Main Directories 20 | ScriptsDir = MainDir & "/Scripts" 21 | DataBaseDir = MainDir & "/InputDB" 22 | TempDir = MainDir & "/" & RunMode & "/ecPoint_" & Var2PP & "/" & AccSTR & "/Vers" & CalVers 23 | WorkDir = TempDir & "/WorkDir" 24 | OutDir = TempDir & "/Forecasts" 25 | 26 | # Subdirectory Tree 27 | WDIR1 = WorkDir & "/10_Predict_AllREM_GL" 28 | WDIR21 = WorkDir & "/21_EnsPtRain_SingleREM_SA" 29 | WDIR22 = WorkDir & "/22_GridRain_ALLREM_GL" 30 | WDIR23 = WorkDir & "/23_WT_AllREM_GL" 31 | WDIR3 = WorkDir & "/30_PtRainCDF_SA" 32 | WDIR4 = WorkDir & "/40_PtRainCDF_GL" 33 | OUTDIR1 = OutDir & "/Pt_BiasCorr_RainPERC" 34 | OUTDIR2 = OutDir & "/Grid_BiasCorr_RainVALS" 35 | OUTDIR3 = OutDir & "/WT" 36 | 37 | # Input/Output files' names 38 | NameFile1 = "Predict" 39 | NameFile21 = "EnsPtRain" 40 | NameFile22 = "GridRain" 41 | NameFile23 = "WT" 42 | NameFile3 = "PtRainCDF_SA" 43 | NameFile4 = "PtRainCDF_GL" 44 | NameFileOUT1 = "Pt_BC_PERC" 45 | NameFileOUT2 = "Grid_BC_VALS" 46 | NameFile_OUT3 = "WT" 47 | 48 | # Computational and Sample Files 49 | MapFuncDir = ScriptsDir & "/CompFiles/MapFunc" & "/" & RunMode & "/ecPoint_" & Var2PP & "/" & AccSTR & "/Vers" & CalVers 50 | SampleDir = ScriptsDir & "/CompFiles/Samples/ECMWF_ENS_18km" 51 | FileBP = MapFuncDir & "/BreakPointsWT.txt" 52 | FileFER = MapFuncDir & "/FERs.txt" 53 | FileGL = SampleDir & "/Global/Global.grib" 54 | FileSA = SampleDir & "/SubArea/" & SubAreaSTR & "/SubArea.grib" 55 | 56 | 57 | # --------------------------- # 58 | # Creation of the File System # 59 | # --------------------------- # 60 | 61 | for BaseDate = BaseDateS to BaseDateF do 62 | 63 | BaseDateSTR = string(BaseDate, "yyyymmdd") 64 | 65 | for BaseTime = BaseTimeS to BaseTimeF by BaseTime_Disc do 66 | 67 | BaseTimeSTR = left_pad_number(BaseTime,NumDigBT) 68 | 69 | for StepS = StepS_Start to StepS_Final by Step_Disc do 70 | 71 | StepF = StepS + Acc 72 | StepFSTR = left_pad_number(StepF,NumDigStep) 73 | 74 | WDIR22_temp = WDIR22 & "/" & BaseDateSTR & BaseTimeSTR & "/" & StepFSTR 75 | WDIR23_temp = WDIR23 & "/" & BaseDateSTR & BaseTimeSTR & "/" & StepFSTR 76 | WDIR4_temp = WDIR4 & "/" & BaseDateSTR & BaseTimeSTR & "/" & StepFSTR 77 | OutDir1_temp = OUTDIR1 & "/" & BaseDateSTR & BaseTimeSTR & "/" & StepFSTR 78 | OutDir2_temp = OUTDIR2 & "/" & BaseDateSTR & BaseTimeSTR & "/" & StepFSTR 79 | OutDir3_temp = OUTDIR3 & "/" & BaseDateSTR & BaseTimeSTR & "/" & StepFSTR 80 | shell("umask 002; mkdir -p " & WDIR22_temp) 81 | shell("umask 002; mkdir -p " & WDIR23_temp) 82 | shell("umask 002; mkdir -p " & WDIR4_temp) 83 | shell("umask 002; mkdir -p " & OutDir1_temp) 84 | shell("umask 002; mkdir -p " & OutDir2_temp) 85 | shell("umask 002; mkdir -p " & OutDir3_temp) 86 | 87 | for SubArea = 1 to NumSA do 88 | 89 | SubAreaSTR = left_pad_number(SubArea,NumDigSA) 90 | 91 | WDIR21_temp = WDIR21 & "/" & BaseDateSTR & BaseTimeSTR & "/" & StepFSTR & "/" & SubAreaSTR 92 | WDIR3_temp = WDIR3 & "/" & BaseDateSTR & BaseTimeSTR & "/" & StepFSTR & "/" & SubAreaSTR 93 | shell("umask 002; mkdir -p " & WDIR21_temp) 94 | shell("umask 002; mkdir -p " & WDIR3_temp) 95 | 96 | end for 97 | 98 | for EnsMem = EnsMemS to EnsMemF do 99 | 100 | EnsMemSTR = left_pad_number(EnsMem,NumDigEM) 101 | 102 | WDIR1_temp = WDIR1 & "/" & BaseDateSTR & BaseTimeSTR & "/" & StepFSTR & "/" & EnsMemSTR 103 | shell("umask 002; mkdir -p " & WDIR1_temp) 104 | 105 | end for 106 | 107 | end for 108 | 109 | end for 110 | 111 | end for 112 | -------------------------------------------------------------------------------- /InParam.mv: -------------------------------------------------------------------------------- 1 | # Metview Macro 2 | 3 | # **************************** LICENSE START *********************************** 4 | # 5 | # Copyright 2020 ECMWF. This software is distributed under the terms 6 | # of the Apache License version 2.0. In applying this license, ECMWF does not 7 | # waive the privileges and immunities granted to it by virtue of its status as 8 | # an Intergovernmental Organization or submit itself to any jurisdiction. 9 | # 10 | # ***************************** LICENSE END ************************************ 11 | 12 | ####################################################### 13 | 14 | ######### 15 | # # 16 | # # 17 | # # # # 18 | ###### ###### ######### # # 19 | # # # # ####### # ####### ####### 20 | ###### # # # # # # # # 21 | # # # # # # # # # 22 | ###### ###### # ####### # # # ### 23 | 24 | ##################### Version 1.0 ##################### 25 | # # 26 | # INPUT PARAMETERS # 27 | # # 28 | ####################################################### 29 | 30 | 31 | ################################# 32 | # INPUT PARAMETERS' DESCRIPTION # 33 | ################################# 34 | 35 | # Var2PP (string): indicates which parameter will be post-processed 36 | # Current valid values: 37 | # - "Rainfall" (accumulated variable) 38 | # 39 | # Acc (number, integer): accumulation period for "Var2PP" (in hours). 40 | # Current valid values: 41 | # - Rainfall: 12 42 | # - For not accumulated variables: 0 43 | # 44 | # CalVers (string): version of the calibration files (it uses the SemVer standard for versioning, https://semver.org/) 45 | # Current valid values: 46 | # - Rainfall, 12-hourly: "1.0.0" 47 | # 48 | # RunMode (string): mode with which the code is running. 49 | # No restrictions on the value for this parameter. 50 | # 51 | # BaseDateS (date): start date of the post-processing period (in the YYYY-MM-DD format) 52 | # 53 | # BaseDateF (date): final date of the post-processing period (in the YYYY-MM-DD format) 54 | # 55 | # BaseTimeS (number, integer): first model run to consider in a day (in UTC) 56 | # 57 | # BaseTimeF (number, integer): last model run to consider in a day (in UTC) 58 | # 59 | # BaseTime_Disc (number, integer): interval between model runs (in hours) 60 | # 61 | # StepS_Start (number, integer): first step, lead-time, to consider (in hours) 62 | # 63 | # StepS_Final (number, integer): last step, lead-time, to consider (in hours) 64 | # 65 | # Step_Disc (number, integer): interval between steps (in hours) 66 | # 67 | # EnsMemS (number, integer): first ensemble member to consider (0 correspond to the "Control" run; perturbed forecast go from 1 to n) 68 | # 69 | # EnsMemF (number, integer): last ensemble member to consider 70 | # 71 | # NumSA (number, integer): number of sub-area to consider for the computation of the percentiles 72 | # Current valid values: 5 / 10/ 20 sub-areas 73 | # 74 | # Perc (string): percentiles to compute (separate with commas) 75 | # 76 | # MainDir (number, integer): main working directory 77 | # 78 | # NumDigBT (number, integer): number of digits to indicate "base times codes" as strings. 79 | # 80 | # NumDigStep (number, integer): number of digits to indicate "step codes" as strings. 81 | # 82 | # NumDigAcc (number, integer): number of digits to indicate "accumulation codes" as strings. 83 | # 84 | # NumDigEM (number, integer): number of digits to indicate "ensemble member codes" as strings. 85 | # 86 | # NumDigSA (number, integer): number of digits to indicate "sub-area codes" as strings. 87 | # 88 | # PrecFloat (number, integer): precision floating-point format for all vectors 89 | # Current valid values: 90 | # - 32 bit for single-precision 91 | # - 64 bit for double precision 92 | 93 | 94 | ############################ 95 | # INPUT PARAMETERS' VALUES # 96 | ############################ 97 | 98 | # PARAMETERS FOR THE VARIABLE TO POST-PROCESS 99 | Var2PP = "Rainfall" 100 | Acc = 12 101 | CalVers = "1.0.0" 102 | RunMode = "Dev" 103 | 104 | # FORECAST PARAMETERS 105 | BaseDateS = 2020-02-19 106 | BaseDateF = 2020-02-19 107 | BaseTimeS = 00 108 | BaseTimeF = 00 109 | BaseTime_Disc = 12 110 | StepS_Start = 0 111 | StepS_Final = 114 112 | Step_Disc = 6 113 | EnsMemS = 0 114 | EnsMemF = 50 115 | 116 | # SUB-AREA PARAMETERS 117 | NumSA = 10 118 | 119 | # PERCENTILES PARAMETERS 120 | Perc = "1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99" 121 | 122 | # MAIN DIRECTORY 123 | MainDir = $HOME 124 | 125 | # NUMBER OF DIGITS FOR ARRAYS 126 | NumDigBT = 2 127 | NumDigStep = 3 128 | NumDigAcc = 3 129 | NumDigEM = 2 130 | NumDigSA = 2 131 | 132 | # VECTORS PRECISION 133 | PrecFloat = 'float32' 134 | -------------------------------------------------------------------------------- /Predict.mv: -------------------------------------------------------------------------------- 1 | # Metview Macro 2 | 3 | # **************************** LICENSE START *********************************** 4 | # 5 | # Copyright 2020 ECMWF. This software is distributed under the terms 6 | # of the Apache License version 2.0. In applying this license, ECMWF does not 7 | # waive the privileges and immunities granted to it by virtue of its status as 8 | # an Intergovernmental Organization or submit itself to any jurisdiction. 9 | # 10 | # ***************************** LICENSE END ************************************ 11 | 12 | ######################## 13 | # # 14 | # Predict.mv # 15 | # # 16 | # ecPoint-Rainfall # 17 | # Version 1.2 # 18 | # # 19 | ######################## 20 | 21 | print(" (Rainfall - Version 1.2)") 22 | 23 | # Codes for the header of the grib file that will store the predictand and the predictors 24 | MyPredicts = [228.128, 143.128, 228.128, 10.128, 59.128, 228022] 25 | MyLevelTypes = ["sfc", "sfc", "sfc", "pl", "sfc", "sfc"] 26 | MyLevels = [0,0,0,700,0,0] 27 | ######################################################################################### 28 | 29 | 30 | # ------------------------------------ # 31 | # Computation of the steps to consider # 32 | # ------------------------------------ # 33 | 34 | StepF = StepS + Acc 35 | step1 = StepS 36 | step2 = step1 + Acc/2 37 | step3 = StepF 38 | step1STR = left_pad_number(step1,NumDigStep) 39 | step2STR = left_pad_number(step2,NumDigStep) 40 | step3STR = left_pad_number(step3,NumDigStep) 41 | 42 | if StepF <= 24 then 43 | step1SR = 0 44 | step2SR = 24 45 | else 46 | step1SR = StepF - 24 47 | step2SR = StepF 48 | end if 49 | step1SR_STR = left_pad_number(step1SR,NumDigStep) 50 | step2SR_STR = left_pad_number(step2SR,NumDigStep) 51 | 52 | 53 | # ----------------------------------------------------- # 54 | # Check the existance of the data in the input database # 55 | # ----------------------------------------------------- # 56 | 57 | WDIR_InDB = DataBaseDir & "/" & BaseDateSTR & BaseTimeSTR # Input Database 58 | File_tp_1 = WDIR_InDB & "/" & step1STR & "/" & "228_" & step1STR & ".grib" 59 | File_tp_3 = WDIR_InDB & "/" & step3STR & "/" & "228_" & step3STR & ".grib" 60 | File_cp_1 = WDIR_InDB & "/" & step1STR & "/" & "143_" & step1STR & ".grib" 61 | File_cp_3 = WDIR_InDB & "/" & step3STR & "/" & "143_" & step3STR & ".grib" 62 | File_u700_1 = WDIR_InDB & "/" & step1STR & "/" & "131_" & step1STR & ".grib" 63 | File_u700_2 = WDIR_InDB & "/" & step2STR & "/" & "131_" & step2STR & ".grib" 64 | File_u700_3 = WDIR_InDB & "/" & step3STR & "/" & "131_" & step3STR & ".grib" 65 | File_v700_1 = WDIR_InDB & "/" & step1STR & "/" & "132_" & step1STR & ".grib" 66 | File_v700_2 = WDIR_InDB & "/" & step2STR & "/" & "132_" & step2STR & ".grib" 67 | File_v700_3 = WDIR_InDB & "/" & step3STR & "/" & "132_" & step3STR & ".grib" 68 | File_cape_1 = WDIR_InDB & "/" & step1STR & "/" & "59_" & step1STR & ".grib" 69 | File_cape_2 = WDIR_InDB & "/" & step2STR & "/" & "59_" & step2STR & ".grib" 70 | File_cape_3 = WDIR_InDB & "/" & step3STR & "/" & "59_" & step3STR & ".grib" 71 | File_sr_1 = WDIR_InDB & "/" & step1SR_STR & "/" & "22_" & step1SR_STR & ".grib" 72 | File_sr_2 = WDIR_InDB & "/" & step2SR_STR & "/" & "22_" & step2SR_STR & ".grib" 73 | 74 | if not(exist(File_tp_1)) or not(exist(File_tp_3)) or not(exist(File_cp_1)) or not(exist(File_cp_3)) or not(exist(File_u700_1)) or not(exist(File_u700_2)) or not(exist(File_u700_3)) or not(exist(File_v700_1)) or not(exist(File_v700_2)) or not(exist(File_v700_3)) or not(exist(File_cape_1)) or not(exist(File_cape_2)) or not(exist(File_cape_3)) or not(exist(File_sr_1)) or not(exist(File_sr_2)) then 75 | fail("Some input data missing. Check the input database.") 76 | end if 77 | 78 | 79 | # ------------------------------------- # 80 | # Predictand and predictors computation # 81 | # ------------------------------------- # 82 | 83 | # Predictand: Total Precipitation 84 | # N.B.: the predictand is always the first field saved in the grib file 85 | 86 | print(" ") 87 | print(" a. Processing the predictand...") 88 | print(" Total Precipitation (" & MyPredicts[1] & ", " & MyLevelTypes[1] & ", " & MyLevels[1] & ")") 89 | 90 | tp_1 = read(File_tp_1) 91 | tp_3 = read(File_tp_3) 92 | tp = (tp_3 - tp_1) * 1000 93 | for i = EnsMemS to EnsMemF do # setting some parameters in the grib header 94 | tp[i+1] = grib_set_string(tp[i+1],["type", "pf"]) 95 | tp[i+1] = grib_set_double(tp[i+1], ["perturbationNumber", i, "step", StepF]) 96 | tp[i+1] = grib_set_long(tp[i+1], ["paramId", MyPredicts[1]]) 97 | end for 98 | pred = tp 99 | 100 | 101 | # Predictors 102 | print(" ") 103 | print(" b. Processing the predictors...") 104 | 105 | # --------------------------------- # 106 | # 1. Convective Precipitation Ratio 107 | print(" -) Convective Precipitation Ratio (" & MyPredicts[2] & ", " & MyLevelTypes[2] & ", " & MyLevels[2] & ")") 108 | 109 | cp_1 = read(File_cp_1) 110 | cp_3 = read(File_cp_3) 111 | cp = (cp_3 - cp_1) * 1000 112 | tp_bitmap = 9999*(tp=0) + tp*(tp<>0) # Bitmap the values were tp=0 to compute cpr=cp/tp 113 | cpr_bitmap = cp / tp_bitmap 114 | cpr = cpr_bitmap*(tp_bitmap<>9999) 115 | for i = EnsMemS to EnsMemF do # setting some parameters in the grib header 116 | cp[i+1] = grib_set_string(cp[i+1],["type", "pf"]) 117 | cp[i+1] = grib_set_double(cp[i+1], ["perturbationNumber", i, "step", StepF]) 118 | cp[i+1] = grib_set_long(cp[i+1], ["paramId", MyPredicts[2]]) 119 | end for 120 | pred = pred & cpr 121 | 122 | # ----------------------------------------- # 123 | # 2. Total Precipitation (already computed) 124 | print(" -) Total Precipitation (" & MyPredicts[3] & ", " & MyLevelTypes[3] & ", " & MyLevels[3] & ")") 125 | pred = pred & tp 126 | 127 | # ------------------------- # 128 | # 3. Wind Speed at 700 mbar 129 | print(" -) Wind Speed at 700 mbar (" & MyPredicts[4] & ", " & MyLevelTypes[4] & ", " & MyLevels[4] & ")") 130 | u700_1 = read(File_u700_1) 131 | u700_2 = read(File_u700_2) 132 | u700_3 = read(File_u700_3) 133 | u700 = (0.5*u700_1 + u700_2 + 0.5*u700_3)/2 134 | v700_1 = read(File_v700_1) 135 | v700_2 = read(File_v700_2) 136 | v700_3 = read(File_v700_3) 137 | v700 = (0.5*v700_1 + v700_2 + 0.5*v700_3)/2 138 | wspd700 = sqrt(u700^2 + v700^2) 139 | for i = EnsMemS to EnsMemF do # setting some parameters in the grib header 140 | wspd700[i+1] = grib_set_string(wspd700[i+1],["type", "pf"]) 141 | wspd700[i+1] = grib_set_double(wspd700[i+1], ["perturbationNumber", i, "step", StepF]) 142 | wspd700[i+1] = grib_set_long(wspd700[i+1], ["paramId", MyPredicts[4]]) 143 | end for 144 | pred = pred & wspd700 145 | 146 | # ------- # 147 | # 4. CAPE 148 | print(" -) CAPE (" & MyPredicts[5] & ", " & MyLevelTypes[5] & ", " & MyLevels[5] & ")") 149 | cape_1 = read(File_cape_1) 150 | cape_2 = read(File_cape_2) 151 | cape_3 = read(File_cape_3) 152 | cape = (0.5*cape_1 + cape_2 + 0.5*cape_3)/2 153 | for i = EnsMemS to EnsMemF do # setting some parameters in the grib header 154 | cape[i+1] = grib_set_string(cape[i+1],["type", "pf"]) 155 | cape[i+1] = grib_set_double(cape[i+1], ["perturbationNumber", i, "step", StepF]) 156 | cape[i+1] = grib_set_long(cape[i+1], ["paramId", MyPredicts[5]]) 157 | end for 158 | pred = pred & cape 159 | 160 | # ------------------------------------------- # 161 | # 5. Solar Radiation (24-hourly Accumulation) 162 | print(" -) Daily Accumulation of Solar Radiation (" & MyPredicts[6] & ", " & MyLevelTypes[6] & ", " & MyLevels[6] & ")") 163 | sr_1 = read(File_sr_1) 164 | sr_2 = read(File_sr_2) 165 | sr24h = (sr_2 - sr_1) / 86400 166 | for i = EnsMemS to EnsMemF do # setting some parameters in the grib header 167 | sr24h[i+1] = grib_set_string(sr24h[i+1],["type", "pf"]) 168 | sr24h[i+1] = grib_set_double(sr24h[i+1], ["perturbationNumber", i, "step", StepF]) 169 | sr24h[i+1] = grib_set_long(sr24h[i+1], ["paramId", MyPredicts[6]]) 170 | end for 171 | pred = pred & sr24h 172 | 173 | 174 | # -------------------------------- # 175 | # Saving predictand and predictors # 176 | # -------------------------------- # 177 | 178 | print(" ") 179 | print(" c. Saving predictand and predictors, splitting them in the " & string(numEM) & " EMs...") 180 | 181 | for indEM = EnsMemS to EnsMemF do 182 | 183 | indEMSTR = left_pad_number(indEM,NumDigEM) 184 | 185 | temp = nil 186 | for indPred = 1 to count(MyPredicts) do # selection of the parameters for the same EM 187 | ind = (((numEM * indPred) + 1) - numEM) + indEM 188 | temp = temp & pred[ind] 189 | end for 190 | 191 | FileOUT = WDIR1 & "/" & BaseDateSTR & BaseTimeSTR & "/" & StepFSTR & "/" & indEMSTR & "/" & NameFile1 & "_" & indEMSTR & ".grib" 192 | write(FileOUT, temp) 193 | 194 | end for 195 | -------------------------------------------------------------------------------- /PtRainPerc_MergeSA.mv: -------------------------------------------------------------------------------- 1 | # Metview Macro 2 | 3 | # **************************** LICENSE START *********************************** 4 | # 5 | # Copyright 2020 ECMWF. This software is distributed under the terms 6 | # of the Apache License version 2.0. In applying this license, ECMWF does not 7 | # waive the privileges and immunities granted to it by virtue of its status as 8 | # an Intergovernmental Organization or submit itself to any jurisdiction. 9 | # 10 | # ***************************** LICENSE END ************************************ 11 | 12 | ############################ 13 | # # 14 | # PtRainCDF_MergeSA.mv # 15 | # # 16 | ############################ 17 | 18 | 19 | Perc_list = list() # initialization of the empty variable that will contain all the CDFs in SA fields 20 | 21 | for CodeSA = 1 to NumSA do 22 | 23 | CodeSASTR = left_pad_number(CodeSA,NumDigSA) 24 | 25 | # ------------------------------------------------------- # 26 | # Reading the input files containing the CDFs for each EM # 27 | # ------------------------------------------------------- # 28 | 29 | print(" ") 30 | print(" a. Reading SA n. " & CodeSA & " containing the point rainfall CDF for all raw EMs...") 31 | 32 | CDF_AllEM_SA = nil 33 | for CodeEM = EnsMemS to 2 do 34 | CodeEMSTR = left_pad_number(CodeEM,NumDigEM) 35 | FileIN = WDIR21 & "/" & BaseDateSTR & BaseTimeSTR & "/" & StepFSTR & "/" & CodeSASTR & "/" & NameFile21 & "_" & CodeSASTR & "_" & CodeEMSTR & ".grib" 36 | CDF_AllEM_SA = CDF_AllEM_SA & read(FileIN) 37 | end for 38 | template = CDF_AllEM_SA[1] 39 | CDF_AllEM_SA = values(CDF_AllEM_SA) 40 | 41 | 42 | # ------------------------------------- # 43 | # Computing the percentiles for the CDF # 44 | # ------------------------------------- # 45 | 46 | print(" b. Computing percentiles...") 47 | Perc_sa = percentile(CDF_AllEM_SA, Perc) 48 | 49 | # Defining the list that will contain the global field for the CDFs 50 | Perc_list = Perc_list & list(Perc_sa) 51 | 52 | end for 53 | 54 | 55 | # ------------------------------------------ # 56 | # Merging the SAs containing the percentiles # 57 | # ------------------------------------------ # 58 | 59 | print(" ") 60 | print(" c. Merging the " & NumSA & " SAs into a global field") 61 | 62 | # Setting the global sample grib 63 | temp = read(FileIN) 64 | BaseDate = number((grib_get(temp[1], ["dataDate"]))[1][1]) 65 | BaseTime = number((grib_get(temp[1], ["dataTime"]))[1][1]) 66 | Step = number((grib_get(temp[1], ["stepRange"]))[1][1]) 67 | 68 | FileGL = read(FileGL) 69 | FileGL = grib_set(FileGL, ["class", "od", "stream", "enfo", "type", "pf", "expver", 1, "indicatorOfParameter", int(PP_Code), "level", PP_level, "levtype", PP_levtype, "dataDate", BaseDate, "dataTime", BaseTime, "stepRange", Step]) 70 | Perc_AllEM_GL_grib = duplicate(FileGL,NumPerc) 71 | Perc_AllEM_GL_list = values(Perc_AllEM_GL_grib) 72 | 73 | # Merging 74 | for CodePERC = 1 to NumPerc do 75 | tempGL_PERC = nil 76 | for CodeSA = 1 to NumSA do 77 | tempSA = Perc_list[CodeSA] 78 | tempSA_PERC = tempSA[CodePERC] 79 | tempGL_PERC = tempGL_PERC & tempSA_PERC 80 | end for 81 | Perc_AllEM_GL_list[CodePERC] = tempGL_PERC 82 | end for 83 | Perc_AllEM_GL_grib = set_values(Perc_AllEM_GL_grib, Perc_AllEM_GL_list) 84 | for i = 1 to NumPerc do 85 | Perc_AllEM_GL_grib[i] = grib_set_long(Perc_AllEM_GL_grib[i], ["paramId", PP_Code, "numberOfForecastsInEnsemble", NumPerc, "perturbationNumber", i]) 86 | end for 87 | 88 | # Saving the output file 89 | FileOUT = WDIR4 & "/" & BaseDateSTR & BaseTimeSTR & "/" & StepFSTR & "/" & NameFile4 & ".grib" 90 | print(" ") 91 | print("Saving the output grib file in " & FileOUT) 92 | write(FileOUT, Perc_AllEM_GL_grib) 93 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # ecPoint 2 | 3 | ## Project Overview 4 | ecPoint is a post-processing system that uses conditional verification concepts to compare NWP model outputs against point observations, and thereby anticipate weather-dependant sub-grid variability and biases at grid scale. 5 | The main ecPoint outputs are provided in grib files and consist of: 6 | 1. bias corrected rainfall forecasts at point scale (probabilistic forecast, provided in the form of percentiles). 7 | 2. bias corrected rainfall forecasts at grid scale (quatitative, in mm, with the same number of members as the raw ensemble). 8 | 3. diagnosed "weather type" indicators (provided for each ensemble member, for each grid box). 9 | 10 | ## Repository Content 11 | 1. ecPoint code (written in an ECMWF proprietary language called "Metview") 12 | 2. Calibration "mapping function" files (computed using [ecPoint-Calibrate](https://github.com/esowc/ecPoint-Calibrate/tree/master)) 13 | 14 | ## Getting Started 15 | 16 | ### Prerequisites 17 | 18 | **Metview** 19 | Information about Metview and how to install it can be found [here](https://confluence.ecmwf.int/display/METV/Metview) and in the [Metview-Python GitHub](https://github.com/ecmwf/metview-python) repository. 20 | Versions from Metview 5 are required. 21 | 22 | **Test Data** 23 | Before running ecPoint, the user might want to download the test data from Zenodo: 24 | 1. ecPoint Vers1.0.0 and Vers2.0.0: 25 | [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3708501.svg)](https://doi.org/10.5281/zenodo.3708501) 26 | 27 | 28 | ### Running ecPoint (in series) 29 | ```sh 30 | $ vi InParam.mv # Modify the input parameters as needed 31 | $ metview -b ecPoint.mv # execute code in batch mode 32 | ``` 33 | N.B: depending on the chosen settings, ecPoint might take a long time to run in series. In such a case, the user might consider parallel running. 34 | 35 | ## Versioning 36 | ecPoint uses the [SemVer](https://semver.org/) standard for versioning. The available ecPoint versions are provided [here](https://github.com/ecmwf/ecPoint/releases). 37 | -------------------------------------------------------------------------------- /ecPoint.mv: -------------------------------------------------------------------------------- 1 | # Metview Macro 2 | 3 | # **************************** LICENSE START *********************************** 4 | # 5 | # Copyright 2020 ECMWF. This software is distributed under the terms 6 | # of the Apache License version 2.0. In applying this license, ECMWF does not 7 | # waive the privileges and immunities granted to it by virtue of its status as 8 | # an Intergovernmental Organization or submit itself to any jurisdiction. 9 | # 10 | # ***************************** LICENSE END ************************************ 11 | 12 | ####################################################### 13 | 14 | ######### 15 | # # 16 | # # 17 | # # # # 18 | ###### ###### ######### # # 19 | # # # # ####### # ####### ####### 20 | ###### # # # # # # # # 21 | # # # # # # # # # 22 | ###### ###### # ####### # # # ### 23 | 24 | ##################### Version 2.0 ##################### 25 | 26 | 27 | print("*****************************************************") 28 | print("First Phase: Creation Environment for Post-Processing") 29 | print("*****************************************************") 30 | 31 | # ************************ # 32 | # Reading Input Parameters # 33 | # ************************ # 34 | 35 | print(" ") 36 | print("- Reading input parameters...") 37 | include "InParam.mv" 38 | 39 | # ************************* # 40 | # Checking Input Parameters # 41 | # ************************* # 42 | 43 | print("- Checking input parameters...") 44 | include "Check_Set_InParam.mv" 45 | 46 | # ********************* # 47 | # Creating File System # 48 | # ********************* # 49 | 50 | print("- Creating the file system to use in the post-processing...") 51 | include "FileSystem.mv" 52 | 53 | ################################################################## 54 | 55 | 56 | print(" ") 57 | print(" ") 58 | print("*****************************") 59 | print("Second Phase: Post-Processing") 60 | print("*****************************") 61 | 62 | print("__________________________________") 63 | print("| ecPoint |") 64 | print("| (Forecasts for Point Values) |") 65 | print("| Code Version 2.0 |") 66 | print("| |") 67 | print("| ecPoint-" & Var2PP & " |") 68 | print("| Calibration Version" & CalVers & " |") 69 | print("|________________________________|") 70 | 71 | 72 | for BaseDate = BaseDateS to BaseDateF do 73 | 74 | BaseDateSTR = string(BaseDate, "yyyymmdd") 75 | 76 | for BaseTime = BaseTimeS to BaseTimeF by BaseTime_Disc do 77 | 78 | BaseTimeSTR = left_pad_number(BaseTime,NumDigBT) 79 | 80 | for StepS = StepS_Start to StepS_Final by Step_Disc do 81 | 82 | StepF = StepS + Acc 83 | StepFSTR = left_pad_number(StepF,NumDigStep) 84 | 85 | print(" ") 86 | print(" ") 87 | print("******************************") 88 | print(BaseDateSTR & " - " & BaseTimeSTR & " UTC - (t+" & string(StepS) & ",t+" & string(StepF) & ")") 89 | print("******************************") 90 | 91 | 92 | # *********************************** # 93 | # Predictand & Predictors Computation # 94 | # *********************************** # 95 | # Predictand and predictors computation for all raw Ensemble Members (EM) and GLobal (GL) fields. 96 | 97 | print(" ") 98 | print("1. Predictand and predictors computation") 99 | include "./Predict.mv" 100 | 101 | 102 | # ********************************************* # 103 | # Post-Processing of the single ensemble member # 104 | # ********************************************* # 105 | # Creation of the new ensembles for point rainfall values, for a single raw EM and a single Sub-Area (SA). 106 | # It also creates the bias corrected values at grid scale and the WT fields, for a single EM and GLobal (GL) field. 107 | 108 | print(" ") 109 | print("2. Post-Processing of the single ensemble members (EM)") 110 | include "EnsPtRain_GridRain_WT.mv" 111 | 112 | 113 | # ********************************* # 114 | # Percentiles Computation & Merging # 115 | # ********************************* # 116 | # Percentiles computation for point rainfall values, for all raw EMs and single SAs. 117 | # Finally, merging of all SAs into a GL field. 118 | 119 | print(" ") 120 | print("3. Percentiles Computation & Merging") 121 | include "PtRainPerc_MergeSA.mv" 122 | 123 | 124 | # ************************************** # 125 | # Moving output files to output database # 126 | # ************************************** # 127 | 128 | print(" ") 129 | print("4. Moving the output files from the working directory to the output database") 130 | 131 | # Point Rainfall CDFs 132 | FileIN = WDIR4 & "/" & BaseDateSTR & BaseTimeSTR & "/" & StepFSTR & "/" & NameFile4 & ".grib" 133 | FileOUT = OUTDIR1 & "/" & BaseDateSTR & BaseTimeSTR & "/" & StepFSTR & "/" & NameFileOUT1 & "_" & AccSTR & "_" & BaseDateSTR & "_" & BaseTimeSTR & "_" & StepFSTR & ".grib" 134 | shell("mv " & FileIN & " " & FileOUT) 135 | 136 | # Bias Corrected Rainfall at Grid Scale 137 | FileIN = WDIR22 & "/" & BaseDateSTR & BaseTimeSTR & "/" & StepFSTR & "/" & NameFile22 & "_??.grib" 138 | FileOUT = OUTDIR2 & "/" & BaseDateSTR & BaseTimeSTR & "/" & StepFSTR & "/" & NameFileOUT2 & "_" & AccSTR & "_" & BaseDateSTR & "_" & BaseTimeSTR & "_" & StepFSTR & ".grib" 139 | shell("grib_copy " & FileIN & " " & FileOUT) 140 | 141 | # WTs 142 | FileIN = WDIR23 & "/" & BaseDateSTR & BaseTimeSTR & "/" & StepFSTR & "/" & NameFile23 & "_??.grib" 143 | FileOUT = OUTDIR3 & "/" & BaseDateSTR & BaseTimeSTR & "/" & StepFSTR & "/" & NameFileOUT3 & "_" & AccSTR & "_" & BaseDateSTR & "_" & BaseTimeSTR & "_" & StepFSTR & ".grib" 144 | shell("grib_copy " & FileIN & " " & FileOUT) 145 | 146 | end for 147 | 148 | end for 149 | 150 | end for 151 | 152 | 153 | # ****************************** # 154 | # Removing temporary directories # 155 | # ****************************** # 156 | 157 | shell("rm -rf " & DataBaseDir) 158 | shell("rm -rf " & WorkDir) 159 | 160 | print("Post-Processing Completed!") 161 | 162 | 163 | ############################################################################################### 164 | # EXTERNAL FUNCTIONS 165 | 166 | function left_pad_number (num: number, num_digits: number) 167 | 168 | num_string = '' # initialise the string to empty 169 | 170 | for pow = num_digits to 1 by -1 do 171 | digit = int(num / (10^(pow-1))) 172 | num_string = num_string & digit 173 | num = num - digit *(10^(pow-1)) 174 | end for 175 | 176 | return num_string 177 | 178 | end left_pad_number 179 | --------------------------------------------------------------------------------