CTAP Example 6 - Drought DRR and DSS

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CTAP Example 6 - Drought DRR and DSS

Stock Calculation View

Stock Budgeting 1 Output Calculator

Introduction
This tool tracks resource stock indicators for output uris. Up to 15 new indicators can be added for each output.

Calculation View Description
This example can be found in the CTAP reference in the Social Performance Analysis tutorial. v218a

Version: 1.9.0

Feedback About carbon/output/CTAP Example 6 - Drought DRR and DSS/2141223470/sb02

Step 1 of 3. Make Selections

Calculator Name

Stock Indicators

Indicator 1

Name 1

Indicator 1 Description

Indicator 1 URL

Label 1

Rel Label 1

Date 1

Dist Type 1

Q1 1

Q1 Unit 1

Q2 1

Q2 Unit 1

Q3 1

Q3 Unit 1

Q4 1

Q4 Unit 1

Q5 1

Q5 Unit 1

Math Operator 1

BaseIO 1

QT 1

QT Unit 1

Math Type 1

Math Sub Type 1

QT D1 1

QT D1 Unit 1

QT D2 1

QT D2 Unit 1

QT Most 1

QT Most Unit 1

QT Low 1

QT Low Unit 1

QT High 1

QT High Unit 1

Math Expression 1

Math Result 1

Indicator 2

Name 2

Indicator 2 Description

Indicator 2 URL

Label 2

Rel Label 2

Date 2

Dist Type 2

Q1 2

Q1 Unit 2

Q2 2

Q2 Unit 2

Q3 2

Q3 Unit 2

Q4 2

Q4 Unit 2

Q5 2

Q5 Unit 2

Math Operator 2

BaseIO 2

QT 2

QT Unit 2

Math Type 2

Math Sub Type 2

QT D1 2

QT D1 Unit 2

QT D2 2

QT D2 Unit 2

QT Most 2

QT Most Unit 2

QT Low 2

QT Low Unit 2

QT High 2

QT High Unit 2

Math Expression 2

Math Result 2

drr results
label,location,assettype,total,distribtype,QTMost,QTMostUnit,QTLow,QTLowUnit,QTUp,QTUpUnit,normalization,weight,quantity
RF1,1,Crop Income,0,none,30991.2466,most,30502.1123,low ci,31480.3810,high ci,none,1.0000,1.0000
RF1A,1,Rice,0,normal,21693.8726,drr all locations,21351.4786,lower 90 % ci,22036.2666,upper 90 % ci,none,1.0000,0.8000
RF1B,1,Wheat,0,normal,9297.3740,drr all locations,9150.6337,lower 90 % ci,9444.1143,upper 90 % ci,none,1.0000,0.8000
RF2,1,Ag Income,0,none,28491.9525,most,28042.2645,low ci,28941.6405,high ci,none,1.0000,1.0000
RF2A,1,Farmworkers,0,normal,28491.9525,drr all locations,28042.2645,lower 90 % ci,28941.6405,upper 90 % ci,none,1.0000,1.0000
RF,1,All Physical,0,none,59483.1991,sum categories,58544.3768,low ci,60422.0215,high ci,none,1.0000,1.0000
TR,1,TotalRisk,0,none,59483.1991,sum categories,58544.3768,low ci,60422.0215,high ci,none,1.0000,1.0000
RF1,2,Crop Income,0,none,26342.5597,most,25926.7955,low ci,26758.3238,high ci,none,1.0000,1.0000
RF1A,2,Rice,0,normal,18439.7918,drr all locations,18148.7569,lower 90 % ci,18730.8266,upper 90 % ci,none,1.0000,0.8000
RF1B,2,Wheat,0,normal,7902.7679,drr all locations,7778.0386,lower 90 % ci,8027.4972,upper 90 % ci,none,1.0000,0.8000
RF2,2,Ag Income,0,none,24218.1597,most,23835.9249,low ci,24600.3945,high ci,none,1.0000,1.0000
RF2A,2,Farmworkers,0,normal,24218.1597,drr all locations,23835.9249,lower 90 % ci,24600.3945,upper 90 % ci,none,1.0000,1.0000
RF,2,All Physical,0,none,50560.7194,sum categories,49762.7204,low ci,51358.7183,high ci,none,1.0000,1.0000
TR,2,TotalRisk,0,none,50560.7194,sum categories,49762.7204,low ci,51358.7183,high ci,none,1.0000,1.0000

Indicator 3

Name 3

Description 3

Indicator 3 URL

Label 3

Rel Label 3

Date 3

Dist Type 3

Q1 3

Q1 Unit 3

Q2 3

Q2 Unit 3

Q3 3

Q3 Unit 3

Q4 3

Q4 Unit 3

Q5 3

Q5 Unit 3

Math Operator 3

BaseIO 3

QT 3

QT Unit 3

Math Type 3

Math Sub Type 3

QT D1 3

QT D1 Unit 3

QT D2 3

QT D2 Unit 3

QT Most 3

QT Most Unit 3

QT Low 3

QT Low Unit 3

QT High 3

QT High Unit 3

Math Expression 3

Math Result 3

drr results
label,assettype,loc_confid,total,distribtype,5year,10year,25year,50year,100year,200year
RF1,Crop Income,1_QTM,22.0438,normal,39.9888,59.9830,89.9746,109.9690,139.9604,169.9520
RF1,Crop Income,1_QTL,21.6959,normal,39.3576,59.0362,88.5546,108.2334,137.7514,167.2696
RF1,Crop Income,1_QTU,22.3917,normal,40.6200,60.9298,91.3946,111.7046,142.1694,172.6344
RF1A,Rice,1_QTM,11.0219,normal,19.99,29.99,44.99,54.98,69.98,84.98
RF1A,Rice,1_QTL,10.8479,normal,19.68,29.52,44.28,54.12,68.88,83.63
RF1A,Rice,1_QTU,11.1959,normal,20.31,30.46,45.70,55.85,71.08,86.32
RF1B,Wheat,1_QTM,11.0219,normal,19.99,29.99,44.99,54.98,69.98,84.98
RF1B,Wheat,1_QTL,10.8479,normal,19.68,29.52,44.28,54.12,68.88,83.63
RF1B,Wheat,1_QTU,11.1959,normal,20.31,30.46,45.70,55.85,71.08,86.32
RF2,Ag Income,1_QTM,5.5109,normal,9.9972,14.9958,22.4936,27.4922,34.9901,42.4880
RF2,Ag Income,1_QTL,5.4240,normal,9.8394,14.7591,22.1386,27.0583,34.4379,41.8174
RF2,Ag Income,1_QTU,5.5979,normal,10.1550,15.2325,22.8486,27.9261,35.5423,43.1586
RF2A,Farmworkers,1_QTM,5.5109,normal,10.00,15.00,22.49,27.49,34.99,42.49
RF2A,Farmworkers,1_QTL,5.4240,normal,9.84,14.76,22.14,27.06,34.44,41.82
RF2A,Farmworkers,1_QTU,5.5979,normal,10.16,15.23,22.85,27.93,35.54,43.16
RF,All Physical,1_QTM,27.5547,normal,49.9860,74.9788,112.4682,137.4612,174.9505,212.4400
RF,All Physical,1_QTL,27.1198,normal,49.1970,73.7953,110.6932,135.2917,172.1893,209.0870
RF,All Physical,1_QTU,27.9897,normal,50.7750,76.1623,114.2432,139.6307,177.7117,215.7930
TR,TotalRisk,1_QTM,27.5547,normal,49.9860,74.9788,112.4682,137.4612,174.9505,212.4400
TR,TotalRisk,1_QTL,27.1198,normal,49.1970,73.7953,110.6932,135.2917,172.1893,209.0870
TR,TotalRisk,1_QTU,27.9897,normal,50.7750,76.1623,114.2432,139.6307,177.7117,215.7930
RF1,Crop Income,2_QTM,22.0438,normal,39.9888,59.9830,89.9746,109.9690,139.9604,169.9520
RF1,Crop Income,2_QTL,21.6959,normal,39.3576,59.0362,88.5546,108.2334,137.7514,167.2696
RF1,Crop Income,2_QTU,22.3917,normal,40.6200,60.9298,91.3946,111.7046,142.1694,172.6344
RF1A,Rice,2_QTM,11.0219,normal,19.99,29.99,44.99,54.98,69.98,84.98
RF1A,Rice,2_QTL,10.8479,normal,19.68,29.52,44.28,54.12,68.88,83.63
RF1A,Rice,2_QTU,11.1959,normal,20.31,30.46,45.70,55.85,71.08,86.32
RF1B,Wheat,2_QTM,11.0219,normal,19.99,29.99,44.99,54.98,69.98,84.98
RF1B,Wheat,2_QTL,10.8479,normal,19.68,29.52,44.28,54.12,68.88,83.63
RF1B,Wheat,2_QTU,11.1959,normal,20.31,30.46,45.70,55.85,71.08,86.32
RF2,Ag Income,2_QTM,5.5109,normal,9.9972,14.9958,22.4936,27.4922,34.9901,42.4880
RF2,Ag Income,2_QTL,5.4240,normal,9.8394,14.7591,22.1386,27.0583,34.4379,41.8174
RF2,Ag Income,2_QTU,5.5979,normal,10.1550,15.2325,22.8486,27.9261,35.5423,43.1586
RF2A,Farmworkers,2_QTM,5.5109,normal,10.00,15.00,22.49,27.49,34.99,42.49
RF2A,Farmworkers,2_QTL,5.4240,normal,9.84,14.76,22.14,27.06,34.44,41.82
RF2A,Farmworkers,2_QTU,5.5979,normal,10.16,15.23,22.85,27.93,35.54,43.16
RF,All Physical,2_QTM,27.5547,normal,49.9860,74.9788,112.4682,137.4612,174.9505,212.4400
RF,All Physical,2_QTL,27.1198,normal,49.1970,73.7953,110.6932,135.2917,172.1893,209.0870
RF,All Physical,2_QTU,27.9897,normal,50.7750,76.1623,114.2432,139.6307,177.7117,215.7930
TR,TotalRisk,2_QTM,27.5547,normal,49.9860,74.9788,112.4682,137.4612,174.9505,212.4400
TR,TotalRisk,2_QTL,27.1198,normal,49.1970,73.7953,110.6932,135.2917,172.1893,209.0870
TR,TotalRisk,2_QTU,27.9897,normal,50.7750,76.1623,114.2432,139.6307,177.7117,215.7930
RF1_A,Crop Income,1_QTM,8.0477,normal,0.0000,0.0000,89.9746,109.9690,139.9604,169.9520
RF1_A,Crop Income,1_QTL,7.9207,normal,0.0000,0.0000,88.5546,108.2334,137.7514,167.2696
RF1_A,Crop Income,1_QTU,8.1747,normal,0.0000,0.0000,91.3946,111.7046,142.1694,172.6344
RF1A_A,Rice,1_QTM,4.0239,normal,0.00,0.00,44.99,54.98,69.98,84.98
RF1A_A,Rice,1_QTL,3.9604,normal,0.00,0.00,44.28,54.12,68.88,83.63
RF1A_A,Rice,1_QTU,4.0874,normal,0.00,0.00,45.70,55.85,71.08,86.32
RF1B_A,Wheat,1_QTM,4.0239,normal,0.00,0.00,44.99,54.98,69.98,84.98
RF1B_A,Wheat,1_QTL,3.9604,normal,0.00,0.00,44.28,54.12,68.88,83.63
RF1B_A,Wheat,1_QTU,4.0874,normal,0.00,0.00,45.70,55.85,71.08,86.32
RF2_A,Ag Income,1_QTM,2.0119,normal,0.0000,0.0000,22.4936,27.4922,34.9901,42.4880
RF2_A,Ag Income,1_QTL,1.9802,normal,0.0000,0.0000,22.1386,27.0583,34.4379,41.8174
RF2_A,Ag Income,1_QTU,2.0437,normal,0.0000,0.0000,22.8486,27.9261,35.5423,43.1586
RF2A_A,Farmworkers,1_QTM,2.0119,normal,0.00,0.00,22.49,27.49,34.99,42.49
RF2A_A,Farmworkers,1_QTL,1.9802,normal,0.00,0.00,22.14,27.06,34.44,41.82
RF2A_A,Farmworkers,1_QTU,2.0437,normal,0.00,0.00,22.85,27.93,35.54,43.16
RF_A,All Physical,1_QTM,10.0597,normal,0.0000,0.0000,112.4682,137.4612,174.9505,212.4400
RF_A,All Physical,1_QTL,9.9009,normal,0.0000,0.0000,110.6932,135.2917,172.1893,209.0870
RF_A,All Physical,1_QTU,10.2184,normal,0.0000,0.0000,114.2432,139.6307,177.7117,215.7930
TR_A,TotalRisk,1_QTM,10.0597,normal,0.0000,0.0000,112.4682,137.4612,174.9505,212.4400
TR_A,TotalRisk,1_QTL,9.9009,normal,0.0000,0.0000,110.6932,135.2917,172.1893,209.0870
TR_A,TotalRisk,1_QTU,10.2184,normal,0.0000,0.0000,114.2432,139.6307,177.7117,215.7930
RF1_A,Crop Income,2_QTM,8.0477,normal,0.0000,0.0000,89.9746,109.9690,139.9604,169.9520
RF1_A,Crop Income,2_QTL,7.9207,normal,0.0000,0.0000,88.5546,108.2334,137.7514,167.2696
RF1_A,Crop Income,2_QTU,8.1747,normal,0.0000,0.0000,91.3946,111.7046,142.1694,172.6344
RF1A_A,Rice,2_QTM,4.0239,normal,0.00,0.00,44.99,54.98,69.98,84.98
RF1A_A,Rice,2_QTL,3.9604,normal,0.00,0.00,44.28,54.12,68.88,83.63
RF1A_A,Rice,2_QTU,4.0874,normal,0.00,0.00,45.70,55.85,71.08,86.32
RF1B_A,Wheat,2_QTM,4.0239,normal,0.00,0.00,44.99,54.98,69.98,84.98
RF1B_A,Wheat,2_QTL,3.9604,normal,0.00,0.00,44.28,54.12,68.88,83.63
RF1B_A,Wheat,2_QTU,4.0874,normal,0.00,0.00,45.70,55.85,71.08,86.32
RF2_A,Ag Income,2_QTM,2.0119,normal,0.0000,0.0000,22.4936,27.4922,34.9901,42.4880
RF2_A,Ag Income,2_QTL,1.9802,normal,0.0000,0.0000,22.1386,27.0583,34.4379,41.8174
RF2_A,Ag Income,2_QTU,2.0437,normal,0.0000,0.0000,22.8486,27.9261,35.5423,43.1586
RF2A_A,Farmworkers,2_QTM,2.0119,normal,0.00,0.00,22.49,27.49,34.99,42.49
RF2A_A,Farmworkers,2_QTL,1.9802,normal,0.00,0.00,22.14,27.06,34.44,41.82
RF2A_A,Farmworkers,2_QTU,2.0437,normal,0.00,0.00,22.85,27.93,35.54,43.16
RF_A,All Physical,2_QTM,10.0597,normal,0.0000,0.0000,112.4682,137.4612,174.9505,212.4400
RF_A,All Physical,2_QTL,9.9009,normal,0.0000,0.0000,110.6932,135.2917,172.1893,209.0870
RF_A,All Physical,2_QTU,10.2184,normal,0.0000,0.0000,114.2432,139.6307,177.7117,215.7930
TR_A,TotalRisk,2_QTM,10.0597,normal,0.0000,0.0000,112.4682,137.4612,174.9505,212.4400
TR_A,TotalRisk,2_QTL,9.9009,normal,0.0000,0.0000,110.6932,135.2917,172.1893,209.0870
TR_A,TotalRisk,2_QTU,10.2184,normal,0.0000,0.0000,114.2432,139.6307,177.7117,215.7930
RF1_B,Crop Income,1_QTM,16.2454,normal,39.9888,59.9830,0.0000,0.0000,139.9604,169.9520
RF1_B,Crop Income,1_QTL,15.9890,normal,39.3576,59.0362,0.0000,0.0000,137.7514,167.2696
RF1_B,Crop Income,1_QTU,16.5018,normal,40.6200,60.9298,0.0000,0.0000,142.1694,172.6344
RF1A_B,Rice,1_QTM,8.1227,normal,19.99,29.99,0.00,0.00,69.98,84.98
RF1A_B,Rice,1_QTL,7.9945,normal,19.68,29.52,0.00,0.00,68.88,83.63
RF1A_B,Rice,1_QTU,8.2509,normal,20.31,30.46,0.00,0.00,71.08,86.32
RF1B_B,Wheat,1_QTM,8.1227,normal,19.99,29.99,0.00,0.00,69.98,84.98
RF1B_B,Wheat,1_QTL,7.9945,normal,19.68,29.52,0.00,0.00,68.88,83.63
RF1B_B,Wheat,1_QTU,8.2509,normal,20.31,30.46,0.00,0.00,71.08,86.32
RF2_B,Ag Income,1_QTM,5.5109,normal,9.9972,14.9958,22.4936,27.4922,34.9901,42.4880
RF2_B,Ag Income,1_QTL,5.4240,normal,9.8394,14.7591,22.1386,27.0583,34.4379,41.8174
RF2_B,Ag Income,1_QTU,5.5979,normal,10.1550,15.2325,22.8486,27.9261,35.5423,43.1586
RF2A_B,Farmworkers,1_QTM,5.5109,normal,10.00,15.00,22.49,27.49,34.99,42.49
RF2A_B,Farmworkers,1_QTL,5.4240,normal,9.84,14.76,22.14,27.06,34.44,41.82
RF2A_B,Farmworkers,1_QTU,5.5979,normal,10.16,15.23,22.85,27.93,35.54,43.16
RF_B,All Physical,1_QTM,21.7564,normal,49.9860,74.9788,22.4936,27.4922,174.9505,212.4400
RF_B,All Physical,1_QTL,21.4130,normal,49.1970,73.7953,22.1386,27.0583,172.1893,209.0870
RF_B,All Physical,1_QTU,22.0998,normal,50.7750,76.1623,22.8486,27.9261,177.7117,215.7930
TR_B,TotalRisk,1_QTM,21.7564,normal,49.9860,74.9788,22.4936,27.4922,174.9505,212.4400
TR_B,TotalRisk,1_QTL,21.4130,normal,49.1970,73.7953,22.1386,27.0583,172.1893,209.0870
TR_B,TotalRisk,1_QTU,22.0998,normal,50.7750,76.1623,22.8486,27.9261,177.7117,215.7930
RF1_B,Crop Income,2_QTM,16.2454,normal,39.9888,59.9830,0.0000,0.0000,139.9604,169.9520
RF1_B,Crop Income,2_QTL,15.9890,normal,39.3576,59.0362,0.0000,0.0000,137.7514,167.2696
RF1_B,Crop Income,2_QTU,16.5018,normal,40.6200,60.9298,0.0000,0.0000,142.1694,172.6344
RF1A_B,Rice,2_QTM,8.1227,normal,19.99,29.99,0.00,0.00,69.98,84.98
RF1A_B,Rice,2_QTL,7.9945,normal,19.68,29.52,0.00,0.00,68.88,83.63
RF1A_B,Rice,2_QTU,8.2509,normal,20.31,30.46,0.00,0.00,71.08,86.32
RF1B_B,Wheat,2_QTM,8.1227,normal,19.99,29.99,0.00,0.00,69.98,84.98
RF1B_B,Wheat,2_QTL,7.9945,normal,19.68,29.52,0.00,0.00,68.88,83.63
RF1B_B,Wheat,2_QTU,8.2509,normal,20.31,30.46,0.00,0.00,71.08,86.32
RF2_B,Ag Income,2_QTM,5.5109,normal,9.9972,14.9958,22.4936,27.4922,34.9901,42.4880
RF2_B,Ag Income,2_QTL,5.4240,normal,9.8394,14.7591,22.1386,27.0583,34.4379,41.8174
RF2_B,Ag Income,2_QTU,5.5979,normal,10.1550,15.2325,22.8486,27.9261,35.5423,43.1586
RF2A_B,Farmworkers,2_QTM,5.5109,normal,10.00,15.00,22.49,27.49,34.99,42.49
RF2A_B,Farmworkers,2_QTL,5.4240,normal,9.84,14.76,22.14,27.06,34.44,41.82
RF2A_B,Farmworkers,2_QTU,5.5979,normal,10.16,15.23,22.85,27.93,35.54,43.16
RF_B,All Physical,2_QTM,21.7564,normal,49.9860,74.9788,22.4936,27.4922,174.9505,212.4400
RF_B,All Physical,2_QTL,21.4130,normal,49.1970,73.7953,22.1386,27.0583,172.1893,209.0870
RF_B,All Physical,2_QTU,22.0998,normal,50.7750,76.1623,22.8486,27.9261,177.7117,215.7930
TR_B,TotalRisk,2_QTM,21.7564,normal,49.9860,74.9788,22.4936,27.4922,174.9505,212.4400
TR_B,TotalRisk,2_QTL,21.4130,normal,49.1970,73.7953,22.1386,27.0583,172.1893,209.0870
TR_B,TotalRisk,2_QTU,22.0998,normal,50.7750,76.1623,22.8486,27.9261,177.7117,215.7930
RF1_C,Crop Income,1_QTM,2.2494,normal,0.0000,0.0000,0.0000,0.0000,139.9604,169.9520
RF1_C,Crop Income,1_QTL,2.2139,normal,0.0000,0.0000,0.0000,0.0000,137.7514,167.2696
RF1_C,Crop Income,1_QTU,2.2849,normal,0.0000,0.0000,0.0000,0.0000,142.1694,172.6344
RF1A_C,Rice,1_QTM,1.1247,normal,0.00,0.00,0.00,0.00,69.98,84.98
RF1A_C,Rice,1_QTL,1.1069,normal,0.00,0.00,0.00,0.00,68.88,83.63
RF1A_C,Rice,1_QTU,1.1424,normal,0.00,0.00,0.00,0.00,71.08,86.32
RF1B_C,Wheat,1_QTM,1.1247,normal,0.00,0.00,0.00,0.00,69.98,84.98
RF1B_C,Wheat,1_QTL,1.1069,normal,0.00,0.00,0.00,0.00,68.88,83.63
RF1B_C,Wheat,1_QTU,1.1424,normal,0.00,0.00,0.00,0.00,71.08,86.32
RF2_C,Ag Income,1_QTM,2.0119,normal,0.0000,0.0000,22.4936,27.4922,34.9901,42.4880
RF2_C,Ag Income,1_QTL,1.9802,normal,0.0000,0.0000,22.1386,27.0583,34.4379,41.8174
RF2_C,Ag Income,1_QTU,2.0437,normal,0.0000,0.0000,22.8486,27.9261,35.5423,43.1586
RF2A_C,Farmworkers,1_QTM,2.0119,normal,0.00,0.00,22.49,27.49,34.99,42.49
RF2A_C,Farmworkers,1_QTL,1.9802,normal,0.00,0.00,22.14,27.06,34.44,41.82
RF2A_C,Farmworkers,1_QTU,2.0437,normal,0.00,0.00,22.85,27.93,35.54,43.16
RF_C,All Physical,1_QTM,4.2613,normal,0.0000,0.0000,22.4936,27.4922,174.9505,212.4400
RF_C,All Physical,1_QTL,4.1940,normal,0.0000,0.0000,22.1386,27.0583,172.1893,209.0870
RF_C,All Physical,1_QTU,4.3285,normal,0.0000,0.0000,22.8486,27.9261,177.7117,215.7930
TR_C,TotalRisk,1_QTM,4.2613,normal,0.0000,0.0000,22.4936,27.4922,174.9505,212.4400
TR_C,TotalRisk,1_QTL,4.1940,normal,0.0000,0.0000,22.1386,27.0583,172.1893,209.0870
TR_C,TotalRisk,1_QTU,4.3285,normal,0.0000,0.0000,22.8486,27.9261,177.7117,215.7930
RF1_C,Crop Income,2_QTM,2.2494,normal,0.0000,0.0000,0.0000,0.0000,139.9604,169.9520
RF1_C,Crop Income,2_QTL,2.2139,normal,0.0000,0.0000,0.0000,0.0000,137.7514,167.2696
RF1_C,Crop Income,2_QTU,2.2849,normal,0.0000,0.0000,0.0000,0.0000,142.1694,172.6344
RF1A_C,Rice,2_QTM,1.1247,normal,0.00,0.00,0.00,0.00,69.98,84.98
RF1A_C,Rice,2_QTL,1.1069,normal,0.00,0.00,0.00,0.00,68.88,83.63
RF1A_C,Rice,2_QTU,1.1424,normal,0.00,0.00,0.00,0.00,71.08,86.32
RF1B_C,Wheat,2_QTM,1.1247,normal,0.00,0.00,0.00,0.00,69.98,84.98
RF1B_C,Wheat,2_QTL,1.1069,normal,0.00,0.00,0.00,0.00,68.88,83.63
RF1B_C,Wheat,2_QTU,1.1424,normal,0.00,0.00,0.00,0.00,71.08,86.32
RF2_C,Ag Income,2_QTM,2.0119,normal,0.0000,0.0000,22.4936,27.4922,34.9901,42.4880
RF2_C,Ag Income,2_QTL,1.9802,normal,0.0000,0.0000,22.1386,27.0583,34.4379,41.8174
RF2_C,Ag Income,2_QTU,2.0437,normal,0.0000,0.0000,22.8486,27.9261,35.5423,43.1586
RF2A_C,Farmworkers,2_QTM,2.0119,normal,0.00,0.00,22.49,27.49,34.99,42.49
RF2A_C,Farmworkers,2_QTL,1.9802,normal,0.00,0.00,22.14,27.06,34.44,41.82
RF2A_C,Farmworkers,2_QTU,2.0437,normal,0.00,0.00,22.85,27.93,35.54,43.16
RF_C,All Physical,2_QTM,4.2613,normal,0.0000,0.0000,22.4936,27.4922,174.9505,212.4400
RF_C,All Physical,2_QTL,4.1940,normal,0.0000,0.0000,22.1386,27.0583,172.1893,209.0870
RF_C,All Physical,2_QTU,4.3285,normal,0.0000,0.0000,22.8486,27.9261,177.7117,215.7930
TR_C,TotalRisk,2_QTM,4.2613,normal,0.0000,0.0000,22.4936,27.4922,174.9505,212.4400
TR_C,TotalRisk,2_QTL,4.1940,normal,0.0000,0.0000,22.1386,27.0583,172.1893,209.0870
TR_C,TotalRisk,2_QTU,4.3285,normal,0.0000,0.0000,22.8486,27.9261,177.7117,215.7930

Indicator 4

Name 4

Description 4

Indicator 4 URL

Label 4

Rel Label 4

Date 4

Dist Type 4

Q1 4

Q1 Unit 4

Q2 4

Q2 Unit 4

Q3 4

Q3 Unit 4

Q4 4

Q4 Unit 4

Q5 4

Q5 Unit 4

Math Operator 4

BaseIO 4

QT 4

QT Unit 4

Math Type 4

Math Sub Type 4

QT D1 4

QT D1 Unit 4

QT D2 4

QT D2 Unit 4

QT Most 4

QT Most Unit 4

QT Low 4

QT Low Unit 4

QT High 4

QT High Unit 4

Math Expression 4

Math Result 4

drr results
label,assettype,loc_confid,total,distribtype,5year,10year,25year,50year,100year,200year,quantity
RF1,Crop Income,1_QTM,3573.5263,none,6195.1502,9294.2749,14640.1099,18742.8861,26025.2092,36870.9059,1.0000
RF1,Crop Income,1_QTL,3462.1026,none,6002.8157,9004.2236,14181.6521,18158.5175,25211.8259,35712.4831,1.0000
RF1,Crop Income,1_QTU,3687.3915,none,6393.6654,9588.9240,15105.8608,19339.9720,26851.5057,38043.4107,1.0000
RF1A,Rice,1_QTM,2501.4684,normal,4336.61,6505.99,10248.08,13120.02,18217.65,25809.63,0.8000
RF1A,Rice,1_QTL,2423.4718,normal,4201.97,6302.96,9927.16,12710.96,17648.28,24998.74,0.8000
RF1A,Rice,1_QTU,2581.1740,normal,4475.57,6712.25,10574.10,13537.98,18796.05,26630.39,0.8000
RF1B,Wheat,1_QTM,1072.0579,normal,1858.55,2788.28,4392.03,5622.87,7807.56,11061.27,0.8000
RF1B,Wheat,1_QTL,1038.6308,normal,1800.84,2701.27,4254.50,5447.56,7563.55,10713.74,0.8000
RF1B,Wheat,1_QTU,1106.2174,normal,1918.10,2876.68,4531.76,5801.99,8055.45,11413.02,0.8000
RF2,Ag Income,1_QTM,1643.0369,none,2849.1953,4273.7929,6728.2321,8615.6815,11963.2010,16948.7229,1.0000
RF2,Ag Income,1_QTL,1591.4602,none,2759.3588,4139.0382,6518.9852,8347.0605,11589.3071,16418.1850,1.0000
RF2,Ag Income,1_QTU,1695.3318,none,2940.4707,4407.8118,6943.8231,8891.7402,12343.0308,17487.6969,1.0000
RF2A,Farmworkers,1_QTM,1643.0369,normal,2849.20,4273.79,6728.23,8615.68,11963.20,16948.72,1.0000
RF2A,Farmworkers,1_QTL,1591.4602,normal,2759.36,4139.04,6518.99,8347.06,11589.31,16418.19,1.0000
RF2A,Farmworkers,1_QTU,1695.3318,normal,2940.47,4407.81,6943.82,8891.74,12343.03,17487.70,1.0000
RF,All Physical,1_QTM,5216.5631,none,9044.3454,13568.0677,21368.3421,27358.5676,37988.4103,53819.6288,1.0000
RF,All Physical,1_QTL,5053.5628,none,8762.1745,13143.2618,20700.6373,26505.5779,36801.1330,52130.6681,1.0000
RF,All Physical,1_QTU,5382.7233,none,9334.1360,13996.7359,22049.6839,28231.7122,39194.5365,55531.1076,1.0000
TR,TotalRisk,1_QTM,5216.5631,none,9044.3454,13568.0677,21368.3421,27358.5676,37988.4103,53819.6288,1.0000
TR,TotalRisk,1_QTL,5053.5628,none,8762.1745,13143.2618,20700.6373,26505.5779,36801.1330,52130.6681,1.0000
TR,TotalRisk,1_QTU,5382.7233,none,9334.1360,13996.7359,22049.6839,28231.7122,39194.5365,55531.1076,1.0000
RF1,Crop Income,2_QTM,3037.4973,none,5265.8777,7900.1337,12444.0935,15931.4533,22121.4279,31340.2701,1.0000
RF1,Crop Income,2_QTL,2942.7872,none,5102.3934,7653.5900,12054.4043,15434.7399,21430.0521,30355.6107,1.0000
RF1,Crop Income,2_QTU,3134.2827,none,5434.6156,8150.5854,12839.9817,16438.9762,22823.7799,32336.8991,1.0000
RF1A,Rice,2_QTM,2126.2481,normal,3686.11,5530.09,8710.87,11152.02,15485.00,21938.19,0.8000
RF1A,Rice,2_QTL,2059.9511,normal,3571.68,5357.51,8438.08,10804.32,15001.04,21248.93,0.8000
RF1A,Rice,2_QTU,2193.9979,normal,3804.23,5705.41,8987.99,11507.28,15976.65,22635.83,0.8000
RF1B,Wheat,2_QTM,911.2492,normal,1579.76,2370.04,3733.23,4779.44,6636.43,9402.08,0.8000
RF1B,Wheat,2_QTL,882.8362,normal,1530.72,2296.08,3616.32,4630.42,6429.02,9106.68,0.8000
RF1B,Wheat,2_QTU,940.2848,normal,1630.38,2445.18,3851.99,4931.69,6847.13,9701.07,0.8000
RF2,Ag Income,2_QTM,1396.5813,none,2421.8160,3632.7240,5718.9973,7323.3293,10168.7209,14406.4145,1.0000
RF2,Ag Income,2_QTL,1352.7412,none,2345.4550,3518.1825,5541.1375,7095.0014,9850.9110,13955.4573,1.0000
RF2,Ag Income,2_QTU,1441.0321,none,2499.4001,3746.6401,5902.2497,7557.9792,10491.5762,14864.5424,1.0000
RF2A,Farmworkers,2_QTM,1396.5813,normal,2421.82,3632.72,5719.00,7323.33,10168.72,14406.41,1.0000
RF2A,Farmworkers,2_QTL,1352.7412,normal,2345.46,3518.18,5541.14,7095.00,9850.91,13955.46,1.0000
RF2A,Farmworkers,2_QTU,1441.0321,normal,2499.40,3746.64,5902.25,7557.98,10491.58,14864.54,1.0000
RF,All Physical,2_QTM,4434.0787,none,7687.6937,11532.8576,18163.0908,23254.7826,32290.1488,45746.6846,1.0000
RF,All Physical,2_QTL,4295.5284,none,7447.8484,11171.7725,17595.5418,22529.7413,31280.9631,44311.0680,1.0000
RF,All Physical,2_QTU,4575.3148,none,7934.0156,11897.2255,18742.2313,23996.9554,33315.3561,47201.4415,1.0000
TR,TotalRisk,2_QTM,4434.0787,none,7687.6937,11532.8576,18163.0908,23254.7826,32290.1488,45746.6846,1.0000
TR,TotalRisk,2_QTL,4295.5284,none,7447.8484,11171.7725,17595.5418,22529.7413,31280.9631,44311.0680,1.0000
TR,TotalRisk,2_QTU,4575.3148,none,7934.0156,11897.2255,18742.2313,23996.9554,33315.3561,47201.4415,1.0000
RF1_A,Crop Income,1_QTM,1405.0687,none,0.0000,0.0000,14640.1099,18742.8861,26025.2092,36870.9059,1.0000
RF1_A,Crop Income,1_QTL,1361.1171,none,0.0000,0.0000,14181.6521,18158.5175,25211.8259,35712.4831,1.0000
RF1_A,Crop Income,1_QTU,1449.7660,none,0.0000,0.0000,15105.8608,19339.9720,26851.5057,38043.4107,1.0000
RF1A_A,Rice,1_QTM,983.5481,normal,0.00,0.00,10248.08,13120.02,18217.65,25809.63,0.8000
RF1A_A,Rice,1_QTL,952.7820,normal,0.00,0.00,9927.16,12710.96,17648.28,24998.74,0.8000
RF1A_A,Rice,1_QTU,1014.8362,normal,0.00,0.00,10574.10,13537.98,18796.05,26630.39,0.8000
RF1B_A,Wheat,1_QTM,421.5206,normal,0.00,0.00,4392.03,5622.87,7807.56,11061.27,0.8000
RF1B_A,Wheat,1_QTL,408.3351,normal,0.00,0.00,4254.50,5447.56,7563.55,10713.74,0.8000
RF1B_A,Wheat,1_QTU,434.9298,normal,0.00,0.00,4531.76,5801.99,8055.45,11413.02,0.8000
RF2_A,Ag Income,1_QTM,645.8185,none,0.0000,0.0000,6728.2321,8615.6815,11963.2010,16948.7229,1.0000
RF2_A,Ag Income,1_QTL,625.6846,none,0.0000,0.0000,6518.9852,8347.0605,11589.3071,16418.1850,1.0000
RF2_A,Ag Income,1_QTU,666.4565,none,0.0000,0.0000,6943.8231,8891.7402,12343.0308,17487.6969,1.0000
RF2A_A,Farmworkers,1_QTM,645.8185,normal,0.00,0.00,6728.23,8615.68,11963.20,16948.72,1.0000
RF2A_A,Farmworkers,1_QTL,625.6846,normal,0.00,0.00,6518.99,8347.06,11589.31,16418.19,1.0000
RF2A_A,Farmworkers,1_QTU,666.4565,normal,0.00,0.00,6943.82,8891.74,12343.03,17487.70,1.0000
RF_A,All Physical,1_QTM,2050.8873,none,0.0000,0.0000,21368.3421,27358.5676,37988.4103,53819.6288,1.0000
RF_A,All Physical,1_QTL,1986.8017,none,0.0000,0.0000,20700.6373,26505.5779,36801.1330,52130.6681,1.0000
RF_A,All Physical,1_QTU,2116.2225,none,0.0000,0.0000,22049.6839,28231.7122,39194.5365,55531.1076,1.0000
TR_A,TotalRisk,1_QTM,2050.8873,none,0.0000,0.0000,21368.3421,27358.5676,37988.4103,53819.6288,1.0000
TR_A,TotalRisk,1_QTL,1986.8017,none,0.0000,0.0000,20700.6373,26505.5779,36801.1330,52130.6681,1.0000
TR_A,TotalRisk,1_QTU,2116.2225,none,0.0000,0.0000,22049.6839,28231.7122,39194.5365,55531.1076,1.0000
RF1_A,Crop Income,2_QTM,1194.3084,none,0.0000,0.0000,12444.0935,15931.4533,22121.4279,31340.2701,1.0000
RF1_A,Crop Income,2_QTL,1156.9495,none,0.0000,0.0000,12054.4043,15434.7399,21430.0521,30355.6107,1.0000
RF1_A,Crop Income,2_QTU,1232.3011,none,0.0000,0.0000,12839.9817,16438.9762,22823.7799,32336.8991,1.0000
RF1A_A,Rice,2_QTM,836.0159,normal,0.00,0.00,8710.87,11152.02,15485.00,21938.19,0.8000
RF1A_A,Rice,2_QTL,809.8647,normal,0.00,0.00,8438.08,10804.32,15001.04,21248.93,0.8000
RF1A_A,Rice,2_QTU,862.6108,normal,0.00,0.00,8987.99,11507.28,15976.65,22635.83,0.8000
RF1B_A,Wheat,2_QTM,358.2925,normal,0.00,0.00,3733.23,4779.44,6636.43,9402.08,0.8000
RF1B_A,Wheat,2_QTL,347.0849,normal,0.00,0.00,3616.32,4630.42,6429.02,9106.68,0.8000
RF1B_A,Wheat,2_QTU,369.6903,normal,0.00,0.00,3851.99,4931.69,6847.13,9701.07,0.8000
RF2_A,Ag Income,2_QTM,548.9458,none,0.0000,0.0000,5718.9973,7323.3293,10168.7209,14406.4145,1.0000
RF2_A,Ag Income,2_QTL,531.8319,none,0.0000,0.0000,5541.1375,7095.0014,9850.9110,13955.4573,1.0000
RF2_A,Ag Income,2_QTU,566.4880,none,0.0000,0.0000,5902.2497,7557.9792,10491.5762,14864.5424,1.0000
RF2A_A,Farmworkers,2_QTM,548.9458,normal,0.00,0.00,5719.00,7323.33,10168.72,14406.41,1.0000
RF2A_A,Farmworkers,2_QTL,531.8319,normal,0.00,0.00,5541.14,7095.00,9850.91,13955.46,1.0000
RF2A_A,Farmworkers,2_QTU,566.4880,normal,0.00,0.00,5902.25,7557.98,10491.58,14864.54,1.0000
RF_A,All Physical,2_QTM,1743.2542,none,0.0000,0.0000,18163.0908,23254.7826,32290.1488,45746.6846,1.0000
RF_A,All Physical,2_QTL,1688.7815,none,0.0000,0.0000,17595.5418,22529.7413,31280.9631,44311.0680,1.0000
RF_A,All Physical,2_QTU,1798.7891,none,0.0000,0.0000,18742.2313,23996.9554,33315.3561,47201.4415,1.0000
TR_A,TotalRisk,2_QTM,1743.2542,none,0.0000,0.0000,18163.0908,23254.7826,32290.1488,45746.6846,1.0000
TR_A,TotalRisk,2_QTL,1688.7815,none,0.0000,0.0000,17595.5418,22529.7413,31280.9631,44311.0680,1.0000
TR_A,TotalRisk,2_QTU,1798.7891,none,0.0000,0.0000,18742.2313,23996.9554,33315.3561,47201.4415,1.0000
RF1_B,Crop Income,1_QTM,2613.0641,none,6195.1502,9294.2749,0.0000,0.0000,26025.2092,36870.9059,1.0000
RF1_B,Crop Income,1_QTL,2531.6662,none,6002.8157,9004.2236,0.0000,0.0000,25211.8259,35712.4831,1.0000
RF1_B,Crop Income,1_QTU,2696.3576,none,6393.6654,9588.9240,0.0000,0.0000,26851.5057,38043.4107,1.0000
RF1A_B,Rice,1_QTM,1829.1449,normal,4336.61,6505.99,0.00,0.00,18217.65,25809.63,0.8000
RF1A_B,Rice,1_QTL,1772.1663,normal,4201.97,6302.96,0.00,0.00,17648.28,24998.74,0.8000
RF1A_B,Rice,1_QTU,1887.4503,normal,4475.57,6712.25,0.00,0.00,18796.05,26630.39,0.8000
RF1B_B,Wheat,1_QTM,783.9192,normal,1858.55,2788.28,0.00,0.00,7807.56,11061.27,0.8000
RF1B_B,Wheat,1_QTL,759.4999,normal,1800.84,2701.27,0.00,0.00,7563.55,10713.74,0.8000
RF1B_B,Wheat,1_QTU,808.9073,normal,1918.10,2876.68,0.00,0.00,8055.45,11413.02,0.8000
RF2_B,Ag Income,1_QTM,1643.0369,none,2849.1953,4273.7929,6728.2321,8615.6815,11963.2010,16948.7229,1.0000
RF2_B,Ag Income,1_QTL,1591.4602,none,2759.3588,4139.0382,6518.9852,8347.0605,11589.3071,16418.1850,1.0000
RF2_B,Ag Income,1_QTU,1695.3318,none,2940.4707,4407.8118,6943.8231,8891.7402,12343.0308,17487.6969,1.0000
RF2A_B,Farmworkers,1_QTM,1643.0369,normal,2849.20,4273.79,6728.23,8615.68,11963.20,16948.72,1.0000
RF2A_B,Farmworkers,1_QTL,1591.4602,normal,2759.36,4139.04,6518.99,8347.06,11589.31,16418.19,1.0000
RF2A_B,Farmworkers,1_QTU,1695.3318,normal,2940.47,4407.81,6943.82,8891.74,12343.03,17487.70,1.0000
RF_B,All Physical,1_QTM,4256.1010,none,9044.3454,13568.0677,6728.2321,8615.6815,37988.4103,53819.6288,1.0000
RF_B,All Physical,1_QTL,4123.1264,none,8762.1745,13143.2618,6518.9852,8347.0605,36801.1330,52130.6681,1.0000
RF_B,All Physical,1_QTU,4391.6894,none,9334.1360,13996.7359,6943.8231,8891.7402,39194.5365,55531.1076,1.0000
TR_B,TotalRisk,1_QTM,4256.1010,none,9044.3454,13568.0677,6728.2321,8615.6815,37988.4103,53819.6288,1.0000
TR_B,TotalRisk,1_QTL,4123.1264,none,8762.1745,13143.2618,6518.9852,8347.0605,36801.1330,52130.6681,1.0000
TR_B,TotalRisk,1_QTU,4391.6894,none,9334.1360,13996.7359,6943.8231,8891.7402,39194.5365,55531.1076,1.0000
RF1_B,Crop Income,2_QTM,2221.1045,none,5265.8777,7900.1337,0.0000,0.0000,22121.4279,31340.2701,1.0000
RF1_B,Crop Income,2_QTL,2151.9162,none,5102.3934,7653.5900,0.0000,0.0000,21430.0521,30355.6107,1.0000
RF1_B,Crop Income,2_QTU,2291.9040,none,5434.6156,8150.5854,0.0000,0.0000,22823.7799,32336.8991,1.0000
RF1A_B,Rice,2_QTM,1554.7732,normal,3686.11,5530.09,0.00,0.00,15485.00,21938.19,0.8000
RF1A_B,Rice,2_QTL,1506.3414,normal,3571.68,5357.51,0.00,0.00,15001.04,21248.93,0.8000
RF1A_B,Rice,2_QTU,1604.3328,normal,3804.23,5705.41,0.00,0.00,15976.65,22635.83,0.8000
RF1B_B,Wheat,2_QTM,666.3314,normal,1579.76,2370.04,0.00,0.00,6636.43,9402.08,0.8000
RF1B_B,Wheat,2_QTL,645.5749,normal,1530.72,2296.08,0.00,0.00,6429.02,9106.68,0.8000
RF1B_B,Wheat,2_QTU,687.5712,normal,1630.38,2445.18,0.00,0.00,6847.13,9701.07,0.8000
RF2_B,Ag Income,2_QTM,1396.5813,none,2421.8160,3632.7240,5718.9973,7323.3293,10168.7209,14406.4145,1.0000
RF2_B,Ag Income,2_QTL,1352.7412,none,2345.4550,3518.1825,5541.1375,7095.0014,9850.9110,13955.4573,1.0000
RF2_B,Ag Income,2_QTU,1441.0321,none,2499.4001,3746.6401,5902.2497,7557.9792,10491.5762,14864.5424,1.0000
RF2A_B,Farmworkers,2_QTM,1396.5813,normal,2421.82,3632.72,5719.00,7323.33,10168.72,14406.41,1.0000
RF2A_B,Farmworkers,2_QTL,1352.7412,normal,2345.46,3518.18,5541.14,7095.00,9850.91,13955.46,1.0000
RF2A_B,Farmworkers,2_QTU,1441.0321,normal,2499.40,3746.64,5902.25,7557.98,10491.58,14864.54,1.0000
RF_B,All Physical,2_QTM,3617.6859,none,7687.6937,11532.8576,5718.9973,7323.3293,32290.1488,45746.6846,1.0000
RF_B,All Physical,2_QTL,3504.6574,none,7447.8484,11171.7725,5541.1375,7095.0014,31280.9631,44311.0680,1.0000
RF_B,All Physical,2_QTU,3732.9360,none,7934.0156,11897.2255,5902.2497,7557.9792,33315.3561,47201.4415,1.0000
TR_B,TotalRisk,2_QTM,3617.6859,none,7687.6937,11532.8576,5718.9973,7323.3293,32290.1488,45746.6846,1.0000
TR_B,TotalRisk,2_QTL,3504.6574,none,7447.8484,11171.7725,5541.1375,7095.0014,31280.9631,44311.0680,1.0000
TR_B,TotalRisk,2_QTU,3732.9360,none,7934.0156,11897.2255,5902.2497,7557.9792,33315.3561,47201.4415,1.0000
RF1_C,Crop Income,1_QTM,444.6066,none,0.0000,0.0000,0.0000,0.0000,26025.2092,36870.9059,1.0000
RF1_C,Crop Income,1_QTL,430.6807,none,0.0000,0.0000,0.0000,0.0000,25211.8259,35712.4831,1.0000
RF1_C,Crop Income,1_QTU,458.7321,none,0.0000,0.0000,0.0000,0.0000,26851.5057,38043.4107,1.0000
RF1A_C,Rice,1_QTM,311.2246,normal,0.00,0.00,0.00,0.00,18217.65,25809.63,0.8000
RF1A_C,Rice,1_QTL,301.4765,normal,0.00,0.00,0.00,0.00,17648.28,24998.74,0.8000
RF1A_C,Rice,1_QTU,321.1125,normal,0.00,0.00,0.00,0.00,18796.05,26630.39,0.8000
RF1B_C,Wheat,1_QTM,133.3820,normal,0.00,0.00,0.00,0.00,7807.56,11061.27,0.8000
RF1B_C,Wheat,1_QTL,129.2042,normal,0.00,0.00,0.00,0.00,7563.55,10713.74,0.8000
RF1B_C,Wheat,1_QTU,137.6196,normal,0.00,0.00,0.00,0.00,8055.45,11413.02,0.8000
RF2_C,Ag Income,1_QTM,645.8185,none,0.0000,0.0000,6728.2321,8615.6815,11963.2010,16948.7229,1.0000
RF2_C,Ag Income,1_QTL,625.6846,none,0.0000,0.0000,6518.9852,8347.0605,11589.3071,16418.1850,1.0000
RF2_C,Ag Income,1_QTU,666.4565,none,0.0000,0.0000,6943.8231,8891.7402,12343.0308,17487.6969,1.0000
RF2A_C,Farmworkers,1_QTM,645.8185,normal,0.00,0.00,6728.23,8615.68,11963.20,16948.72,1.0000
RF2A_C,Farmworkers,1_QTL,625.6846,normal,0.00,0.00,6518.99,8347.06,11589.31,16418.19,1.0000
RF2A_C,Farmworkers,1_QTU,666.4565,normal,0.00,0.00,6943.82,8891.74,12343.03,17487.70,1.0000
RF_C,All Physical,1_QTM,1090.4252,none,0.0000,0.0000,6728.2321,8615.6815,37988.4103,53819.6288,1.0000
RF_C,All Physical,1_QTL,1056.3653,none,0.0000,0.0000,6518.9852,8347.0605,36801.1330,52130.6681,1.0000
RF_C,All Physical,1_QTU,1125.1886,none,0.0000,0.0000,6943.8231,8891.7402,39194.5365,55531.1076,1.0000
TR_C,TotalRisk,1_QTM,1090.4252,none,0.0000,0.0000,6728.2321,8615.6815,37988.4103,53819.6288,1.0000
TR_C,TotalRisk,1_QTL,1056.3653,none,0.0000,0.0000,6518.9852,8347.0605,36801.1330,52130.6681,1.0000
TR_C,TotalRisk,1_QTU,1125.1886,none,0.0000,0.0000,6943.8231,8891.7402,39194.5365,55531.1076,1.0000
RF1_C,Crop Income,2_QTM,377.9156,none,0.0000,0.0000,0.0000,0.0000,22121.4279,31340.2701,1.0000
RF1_C,Crop Income,2_QTL,366.0786,none,0.0000,0.0000,0.0000,0.0000,21430.0521,30355.6107,1.0000
RF1_C,Crop Income,2_QTU,389.9223,none,0.0000,0.0000,0.0000,0.0000,22823.7799,32336.8991,1.0000
RF1A_C,Rice,2_QTM,264.5409,normal,0.00,0.00,0.00,0.00,15485.00,21938.19,0.8000
RF1A_C,Rice,2_QTL,256.2550,normal,0.00,0.00,0.00,0.00,15001.04,21248.93,0.8000
RF1A_C,Rice,2_QTU,272.9456,normal,0.00,0.00,0.00,0.00,15976.65,22635.83,0.8000
RF1B_C,Wheat,2_QTM,113.3747,normal,0.00,0.00,0.00,0.00,6636.43,9402.08,0.8000
RF1B_C,Wheat,2_QTL,109.8236,normal,0.00,0.00,0.00,0.00,6429.02,9106.68,0.8000
RF1B_C,Wheat,2_QTU,116.9767,normal,0.00,0.00,0.00,0.00,6847.13,9701.07,0.8000
RF2_C,Ag Income,2_QTM,548.9458,none,0.0000,0.0000,5718.9973,7323.3293,10168.7209,14406.4145,1.0000
RF2_C,Ag Income,2_QTL,531.8319,none,0.0000,0.0000,5541.1375,7095.0014,9850.9110,13955.4573,1.0000
RF2_C,Ag Income,2_QTU,566.4880,none,0.0000,0.0000,5902.2497,7557.9792,10491.5762,14864.5424,1.0000
RF2A_C,Farmworkers,2_QTM,548.9458,normal,0.00,0.00,5719.00,7323.33,10168.72,14406.41,1.0000
RF2A_C,Farmworkers,2_QTL,531.8319,normal,0.00,0.00,5541.14,7095.00,9850.91,13955.46,1.0000
RF2A_C,Farmworkers,2_QTU,566.4880,normal,0.00,0.00,5902.25,7557.98,10491.58,14864.54,1.0000
RF_C,All Physical,2_QTM,926.8614,none,0.0000,0.0000,5718.9973,7323.3293,32290.1488,45746.6846,1.0000
RF_C,All Physical,2_QTL,897.9105,none,0.0000,0.0000,5541.1375,7095.0014,31280.9631,44311.0680,1.0000
RF_C,All Physical,2_QTU,956.4103,none,0.0000,0.0000,5902.2497,7557.9792,33315.3561,47201.4415,1.0000
TR_C,TotalRisk,2_QTM,926.8614,none,0.0000,0.0000,5718.9973,7323.3293,32290.1488,45746.6846,1.0000
TR_C,TotalRisk,2_QTL,897.9105,none,0.0000,0.0000,5541.1375,7095.0014,31280.9631,44311.0680,1.0000
TR_C,TotalRisk,2_QTU,956.4103,none,0.0000,0.0000,5902.2497,7557.9792,33315.3561,47201.4415,1.0000

Indicator 5

Name 5

Description 5

Indicator 5 URL

Label 5

Rel Label 5

Date 5

Dist Type 5

Q1 5

Q1 Unit 5

Q2 5

Q2 Unit 5

Q3 5

Q3 Unit 5

Q4 5

Q4 Unit 5

Q5 5

Q5 Unit 5

Math Operator 5

BaseIO 5

QT 5

QT Unit 5

Math Type 5

Math Sub Type 5

QT D1 5

QT D1 Unit 5

QT D2 5

QT D2 Unit 5

QT Most 5

QT Most Unit 5

QT Low 5

QT Low Unit 5

QT High 5

QT High Unit 5

Math Expression 5

Math Result 5

drr results
label,alternative,loc_confid,total,life_15,life_25,isprojectcost
AC1A,CurrentPractice,1_QTM_0.05,96.2671,96.2671,96.6385,yes
AC1A,CurrentPractice,1_QTL_0.05,95.7610,95.7610,96.1305,yes
AC1A,CurrentPractice,1_QTU_0.05,96.7733,96.7733,97.1465,yes
AC1A,CurrentPractice,1_QTM_0.12,89.9584,89.9584,90.0616,yes
AC1A,CurrentPractice,1_QTL_0.12,89.4854,89.4854,89.5881,yes
AC1A,CurrentPractice,1_QTU_0.12,90.4315,90.4315,90.5352,yes
AC1A_A,Irrigation,1_QTM_0.05,4394.6383,4394.6383,5285.8152,yes
AC1A_A,Irrigation,1_QTL_0.05,4325.2782,4325.2782,5202.3899,yes
AC1A_A,Irrigation,1_QTU_0.05,4463.9984,4463.9984,5369.2406,yes
AC1A_A,Irrigation,1_QTM_0.12,3419.3558,3419.3558,3667.0317,yes
AC1A_A,Irrigation,1_QTL_0.12,3365.3884,3365.3884,3609.1553,yes
AC1A_A,Irrigation,1_QTU_0.12,3473.3232,3473.3232,3724.9081,yes
AC1A_B,CropInsurance,1_QTM_0.05,10895.5634,10895.5634,14794.4629,yes
AC1A_B,CropInsurance,1_QTL_0.05,10723.5984,10723.5984,14560.9615,yes
AC1A_B,CropInsurance,1_QTU_0.05,11067.5284,11067.5284,15027.9644,yes
AC1A_B,CropInsurance,1_QTM_0.12,7149.3883,7149.3883,8232.9706,yes
AC1A_B,CropInsurance,1_QTL_0.12,7036.5493,7036.5493,8103.0294,yes
AC1A_B,CropInsurance,1_QTU_0.12,7262.2273,7262.2273,8362.9118,yes
AC1A_C,AandB,1_QTM_0.05,15290.2017,15290.2017,20080.2782,yes
AC1A_C,AandB,1_QTL_0.05,15048.8766,15048.8766,19763.3514,yes
AC1A_C,AandB,1_QTU_0.05,15531.5267,15531.5267,20397.2049,yes
AC1A_C,AandB,1_QTM_0.12,10568.7441,10568.7441,11900.0023,yes
AC1A_C,AandB,1_QTL_0.12,10401.9377,10401.9377,11712.1847,yes
AC1A_C,AandB,1_QTU_0.12,10735.5504,10735.5504,12087.8199,yes
AC1A,CurrentPractice,2_QTM_0.05,96.2671,96.2671,96.6385,yes
AC1A,CurrentPractice,2_QTL_0.05,95.7610,95.7610,96.1305,yes
AC1A,CurrentPractice,2_QTU_0.05,96.7733,96.7733,97.1465,yes
AC1A,CurrentPractice,2_QTM_0.12,89.9584,89.9584,90.0616,yes
AC1A,CurrentPractice,2_QTL_0.12,89.4854,89.4854,89.5881,yes
AC1A,CurrentPractice,2_QTU_0.12,90.4315,90.4315,90.5352,yes
AC1A_A,Irrigation,2_QTM_0.05,4394.6383,4394.6383,5285.8152,yes
AC1A_A,Irrigation,2_QTL_0.05,4325.2782,4325.2782,5202.3899,yes
AC1A_A,Irrigation,2_QTU_0.05,4463.9984,4463.9984,5369.2406,yes
AC1A_A,Irrigation,2_QTM_0.12,3419.3558,3419.3558,3667.0317,yes
AC1A_A,Irrigation,2_QTL_0.12,3365.3884,3365.3884,3609.1553,yes
AC1A_A,Irrigation,2_QTU_0.12,3473.3232,3473.3232,3724.9081,yes
AC1A_B,CropInsurance,2_QTM_0.05,10895.5634,10895.5634,14794.4629,yes
AC1A_B,CropInsurance,2_QTL_0.05,10723.5984,10723.5984,14560.9615,yes
AC1A_B,CropInsurance,2_QTU_0.05,11067.5284,11067.5284,15027.9644,yes
AC1A_B,CropInsurance,2_QTM_0.12,7149.3883,7149.3883,8232.9706,yes
AC1A_B,CropInsurance,2_QTL_0.12,7036.5493,7036.5493,8103.0294,yes
AC1A_B,CropInsurance,2_QTU_0.12,7262.2273,7262.2273,8362.9118,yes
AC1A_C,AandB,2_QTM_0.05,15290.2017,15290.2017,20080.2782,yes
AC1A_C,AandB,2_QTL_0.05,15048.8766,15048.8766,19763.3514,yes
AC1A_C,AandB,2_QTU_0.05,15531.5267,15531.5267,20397.2049,yes
AC1A_C,AandB,2_QTM_0.12,10568.7441,10568.7441,11900.0023,yes
AC1A_C,AandB,2_QTL_0.12,10401.9377,10401.9377,11712.1847,yes
AC1A_C,AandB,2_QTU_0.12,10735.5504,10735.5504,12087.8199,yes

Indicator 6

Name 6

Description 6

Indicator 6 URL

Label 6

Rel Label 6

Date 6

Dist Type 6

Q1 6

Q1 Unit 6

Q2 6

Q2 Unit 6

Q3 6

Q3 Unit 6

Q4 6

Q4 Unit 6

Q5 6

Q5 Unit 6

Math Operator 6

BaseIO 6

QT 6

QT Unit 6

Math Type 6

Math Sub Type 6

QT D1 6

QT D1 Unit 6

QT D2 6

QT D2 Unit 6

QT Most 6

QT Most Unit 6

QT Low 6

QT Low Unit 6

QT High 6

QT High Unit 6

Math Expression 6

Math Result 6

Indicator 7

Name 7

Description 7

Indicator 7 URL

Label 7

Rel Label 7

Date 7

Dist Type 7

Q1 7

Q1 Unit 7

Q2 7

Q2 Unit 7

Q3 7

Q3 Unit 7

Q4 7

Q4 Unit 7

Q5 7

Q5 Unit 7

Math Operator 7

BaseIO 7

QT 7

QT Unit 7

Math Type 7

Math Sub Type 7

QT D1 7

QT D1 Unit 7

QT D2 7

QT D2 Unit 7

QT Most 7

QT Most Unit 7

QT Low 7

QT Low Unit 7

QT High 7

QT High Unit 7

Math Expression 7

Math Result 7

Indicator 8

Name 8

Description 8

Indicator 8 URL

Label 8

Rel Label 8

Date 8

Dist Type 8

Q1 8

Q1 Unit 8

Q2 8

Q2 Unit 8

Q3 8

Q3 Unit 8

Q4 8

Q4 Unit 8

Q5 8

Q5 Unit 8

Math Operator 8

BaseIO 8

QT 8

QT Unit 8

Math Type 8

Math Sub Type 8

QT D1 8

QT D1 Unit 8

QT D2 8

QT D2 Unit 8

QT Most 8

QT Most Unit 8

QT Low 8

QT Low Unit 8

QT High 8

QT High Unit 8

Math Expression 8

Math Result 8

Indicator 9

Name 9

Description 9

Indicator 9 URL

Label 9

Rel Label 9

Date 9

Dist Type 9

Q1 9

Q1 Unit 9

Q2 9

Q2 Unit 9

Q3 9

Q3 Unit 9

Q4 9

Q4 Unit 9

Q5 9

Q5 Unit 9

Math Operator 9

BaseIO 9

QT 9

QT Unit 9

Math Type 9

Math Sub Type 9

QT D1 9

QT D1 Unit 9

QT D2 9

QT D2 Unit 9

QT Most 9

QT Most Unit 9

QT Low 9

QT Low Unit 9

QT High 9

QT High Unit 9

Math Expression 9

Math Result 9

Indicator 10

Name 10

Description 10

Indicator 10 URL

Label 10

Rel Label 10

Date 10

Dist Type 10

Q1 10

Q1 Unit 10

Q2 10

Q2 Unit 10

Q3 10

Q3 Unit 10

Q4 10

Q4 Unit 10

Q5 10

Q5 Unit 10

Math Operator 10

BaseIO 10

QT 10

QT Unit 10

Math Type 10

Math Sub Type 10

QT D1 10

QT D1 Unit 10

QT D2 10

QT D2 Unit 10

QT Most 10

QT Most Unit 10

QT Low 10

QT Low Unit 10

QT High 10

QT High Unit 10

Math Expression 10

Math Result 10

Step 2 of 3. Enter Stock Indicators

Relations

Use In Childs?TrueFalse

Overwrite Childs?TrueFalse

What If Tag

Related C. Type

More Stock Indicators

Indicator 11

Name 11

Indicator 11 Description

Indicator 11 URL

Label 11

Rel Label 11

Date 11

Dist Type 11

Q1 11

Q1 Unit 11

Q2 11

Q2 Unit 11

Q3 11

Q3 Unit 11

Q4 11

Q4 Unit 11

Q5 11

Q5 Unit 11

Math Operator 11

BaseIO 11

QT 11

QT Unit 11

Math Type 11

Math Sub Type 11

QT D1 11

QT D1 Unit 11

QT D2 11

QT D2 Unit 11

QT Most 11

QT Most Unit 11

QT Low 11

QT Low Unit 11

QT High 11

QT High Unit 11

Math Expression 11

Math Result 11

Indicator 12

Name 12

Indicator 12 Description

Indicator 12 URL

Label 12

Rel Label 12

Date 12

Dist Type 12

Q1 12

Q1 Unit 12

Q2 12

Q2 Unit 12

Q3 12

Q3 Unit 12

Q4 12

Q4 Unit 12

Q5 12

Q5 Unit 12

Math Operator 12

BaseIO 12

QT 12

QT Unit 12

Math Type 12

Math Sub Type 12

QT D1 12

QT D1 Unit 12

QT D2 12

QT D2 Unit 12

QT Most 12

QT Most Unit 12

QT Low 12

QT Low Unit 12

QT High 12

QT High Unit 12

Math Expression 12

Math Result 12

Indicator 13

Name 13

Description 13

Indicator 13 URL

Label 13

Rel Label 13

Date 13

Dist Type 13

Q1 13

Q1 Unit 13

Q2 1

Q2 Unit 13

Q3 13

Q3 Unit 13

Q4 13

Q4 Unit 13

Q5 13

Q5 Unit 13

Math Operator 13

BaseIO 13

QT 13

QT Unit 13

Math Type 13

Math Sub Type 13

QT D1 13

QT D1 Unit 13

QT D2 13

QT D2 Unit 13

QT Most 13

QT Most Unit 13

QT Low 13

QT Low Unit 13

QT High 13

QT High Unit 13

Math Expression 13

Math Result 13

Indicator 14

Name 14

Description 14

Indicator 14 URL

Label 14

Rel Label 14

Date 14

Dist Type 14

Q1 14

Q1 Unit 14

Q2 14

Q2 Unit 14

Q3 14

Q3 Unit 14

Q4 14

Q4 Unit 14

Q5 14

Q5 Unit 14

Math Operator 14

BaseIO 14

QT 14

QT Unit 14

Math Type 14

Math Sub Type 14

QT D1 14

QT D1 Unit 14

QT D2 14

QT D2 Unit 14

QT Most 14

QT Most Unit 14

QT Low 14

QT Low Unit 14

QT High 14

QT High Unit 14

Math Expression 14

Math Result 14

Indicator 15

Name 15

Description 15

Indicator 15 URL

Label 15

Rel Label 15

Date 15

Dist Type 15

Q1 15

Q1 Unit 15

Q2 15

Q2 Unit 15

Q3 15

Q3 Unit 15

Q4 15

Q4 Unit 15

Q5 15

Q5 Unit 15

Math Operator 15

BaseIO 15

QT 15

QT Unit 15

Math Type 15

Math Sub Type 15

QT D1 15

QT D1 Unit 15

QT D2 15

QT D2 Unit 15

QT Most 15

QT Most Unit 15

QT Low 15

QT Low Unit 15

QT High 15

QT High Unit 15

Math Expression 15

Math Result 15

Altern Type

Target Type

Score Math Expression

Score

Score Unit

Score D1

Score D1 Unit

Score D2

Score D2 Unit

Score Dist Type

Iterations

Confidence Interval

Random Seed

Score BaseIO

Score Most Likely

Score Most Unit

Score Low Estimate

Score Low Unit

Score High Estimate

Score High Unit

Score Math Type

Score Math Sub Type

Score Math Result

Joint Data

Calculations Description

Media URL

Data URL

Step 3 of 3. Save

Method 1. Do you wish to save step 2's calculations? These calculations are viewed by opening this particular calculator addin.

Instructions

Step 1

Step 1. Indicators: Enter up to 10 indicators.
Step 1. Indicator Name and Description: Name and description for each indicator.
Step 1. Indicator Date: Make sure that the benchmark, targets, actual, indicators have distinct dates.
Step 1. Distribution Type: The numeric distribution of QT. Refer to the Stock Calculation 1 reference.
Step 1. Math Expression:A mathematical expression containing one or more of the Q1 to Q5 variables and/or sibling indicator Q1 to QTM variables. Use strings that identify both the indicator (I1, I2, … In) and the Qx property (Q … QTM), with a period separator between them. Examples include:((I1.Q1 + I1.Q2) * I1.Q3) + I1.Q4)) - (2 * I1.Q5)
Step 1. Math Operator Type: Mathematical operation to use with QT. MathTypes include: equalto, lessthan, greaterthan, lessthanorequalto, and greaterthanorequalto. Refer to the Stock Calculation 1 reference for the algorithms.
Step 1. Math Type and Math Sub Type: Mathematical algorithm and subalgorithm to use with Distribution Type, QT, QTD1, and QTD2 to solve for QTM, QTL, and QTU. Refer to the Stock Calculation 1 reference for the algorithms.
Step 1. QT Amount and Unit: The Unit must be manually entered. The Amount will be the result of the mathematical calculation.
Step 1. QTD1 Amount and Unit: First distribution, or shape, parameter for QT.
Step 1. QTD2 Amount and Unit: Second distribution, or scale, for QT.
Step 1. BaseIO: Base input or output property to update with this indicator's QTM property.
Step 1. QTM Amount and Unit: Most Likely Estimate for QT. The Unit must be manually entered. The Amount will be the result of the mathematical algorithm.
Step 1. QTL Amount and Unit: Low Estimate or QT. The Unit must be manually entered. The Amount will be the result of the mathematical algorithm.
Step 1. QTU Amount and Unit: High Estimate for QT. The Unit must be manually entered. The Amount will be the result of the mathematical algorithm.
Step 1. Math Result: TEXT string holding results of calculation.

Step 2

Step 2. Use Same Calculator Pack In Descendants?: True to insert or update this same calculator in children.
Step 2. Overwrite Descendants?: True to insert or update all of the attributes of this same calculator in all children. False only updates children attributes that are controlled by the developer of this calculator (i.e. version, stylehsheet name, relatedcalculatorstype ...)
Step 2. What If Tag Name: Instructional videos explaining the use of what-if scenario calculations should be viewed before changing or using this parameter.
Step 2. Related Calculators Type: When the Use Same Calculator Pack in Descendant is true, uses this value to determine which descendant calculator to update. Inserts a new descendant when no descendant has this same name. Updates the descendant that has this same name.
Step 2. Indicators: Enter up to 5 indicators.
Step 2. Target Type: Used with Progress analyzers to identify benchmark and actual indicators.
Step 2. Altern Type: Used with Change by Alternative analyzers to identify alternatives to compare.
Step 2. Score Math Expression: A mathematical expression containing one or more of the children indicator Q1 to QTM variables. Use strings that identify both the indicator (I1, I2, … In) and the Qx property (Q … QTM), with a period separator between them. Examples include:((I1.QTM + I2.QTM) * I3.Q3) + I4.QTM)) - (2 * I5.QTM)
Step 2. Score Amount and Unit: The Unit must be manually entered. The Amount will be the result of the Math Expression calculation.
Step 2. ScoreD1 Amount and Unit: First distribution variable for Score.
Step 2. ScoreD2 Amount and Unit: Second distribution for Score.
Step 2. Distribution Type: The numeric distribution of Score. Refer to the Stock Calculation 1 reference.
Step 2. Score Math Type and Math Sub Type: Mathematical algorithm and subalgorithm to use with Distribution Type, Score, ScoreD1, and ScoreD2 to solve for ScoreM, ScoreL, and ScoreU. Refer to the Stock Calculation 1 reference for the algorithms.
Step 2. Score Most Likely, Score Low, Score High, Amounts and Units: Results of Distribution Type and Math Type calculations.
Step 2. Iterations: Number of iterations to use when drawing random number samples for some algorithms.
Step 2. Confidence Interval: Level of confidence interal to use when reporting all Score and Indicator high and low amounts. Should be an integer such as 95, 90, or 40.
Step 2. Random Seed: Any positive integer, except 0, will result in the same set of random variables being used each time a calculation is run.
Step 2. Score BaseIO: Base input or output property to update with the Score Most Likely property.

References

Refer to the Stock Calculation 1 reference.

Current view of document

CTAP Example 6 - Drought DRR and DSS

Output Group: CTAP Output Examples

Output : CTAP Example 6 - Drought DRR and DSS

Indicators

Math Expression: I0.Q1.distribtype + I0.Q2.QT + I0.Q3.QTUnit + I0.Q4.QTD1+ I0.Q5.QTD1Unit + I0.Q6.QTD2 + I0.Q7.QTD2Unit + I0.Q8.normalization + I0.Q9.weight + I0.Q10.quantity

Score Amount: 924.5413

Score Unit: base MCA score

Score D1 Amount: 910.0722

Score D1 Unit: low ci

Score D2 Amount: 939.0103

Score D2 Unit: high ci

Distribution Type: none

Math Type: algorithm1

Score Most Amount: 924.5413

Score Most Unit: mca all locations for A

Score Low Amount: 910.0722

Score Low Unit: lower 90 % ci

Score High Amount: 939.0103

Score High Unit: upper 90 % ci

Iterations: 1000

Math Sub Type: subalgorithm12

Confid Int: 90

Random Seed: 5

Base IO: none

Score Math Result: https://devtreks1.blob.core.windows.net/resources/network_carbon/resourcepack_1543/resource_8058/Score-MCA-Result.csv

Indic 1 Name: Hazard Distribution

Label: 1A

Date: 01/27/2016

Rel Label:

Math Type: algorithm1

Dist Type: none

Q1 Amount: 49.9859

Q1 Unit: 200year

Q2 Amount: 99.9718

Q2 Unit: 100year

Q3 Amount: 199.9435

Q3 Unit: 50year

Q4 Amount: 299.9153

Q4 Unit: 25year

Q5 Amount: 499.8588

Q5 Unit: 10year

Math Express: I1.Q1.distribtype + I1.Q2.200year + I1.Q3.100year + I1.Q4. 50year + I1.Q5.25year + I1.Q6.10year + I1.Q7.5year

Math Operator: equalto

QT Amount: 238.5714

QT Unit:

QT D1 Amount: 238.5714

QT D1 Unit:

QT D2 Amount: 71.5714

QT D2 Unit:

QT Most Amount: 238.5041

QT Most Unit:

QT Low Amount: 234.7398

QT Low Unit: lower 90 % ci

QT High Amount: 242.2684

QT High Unit: upper 90 % ci

Math Sub Type: subalgorithm9

Base IO: none

Indic 1 Description: This Indicator is used in a CTAP tutorial demonstrating disaster risk reduction and decision support systems for drought in Uttar Pradesh, India.

Indic 2 Name: Exposure Distribution

Label: 2A

Date: 01/27/2016

Rel Label:

Math Type: algorithm1

Type: none

Q1 Amount: 59,483.1991

Q1 Unit: location 1 total value

Q2 Amount: 50,560.7194

Q2 Unit: location 2 total value

Q3 Amount: 0.0000

Q3 Unit: none

Q4 Amount: 0.0000

Q4 Unit: none

Q5 Amount: 0.0000

Q5 Unit: none

Math Express: I2.Q1.distribtype + I2.Q2.QT + I2.Q3.QTUnit + I2.Q4.QTD1+ I2.Q5.QTD1Unit + I2.Q6.QTD2 + I2.Q7.QTD2Unit + I2.Q8.normalization + I2.Q9.weight + I2.Q10.quantity

Math Operator: equalto

QT Amount: 110,043.9185

QT Unit: 1, 2 totals

QT D1 Amount: 0.0000

QT D1 Unit:

QT D2 Amount: 0.0000

QT D2 Unit:

QT Most Amount: 110,043.9185

QT Most Unit: drr all locations

QT Low Amount: 108,307.0972

QT Low Unit: lower 90 % ci

QT High Amount: 111,780.7398

QT High Unit: upper 90 % ci

Math Sub Type: subalgorithm9

Base IO: none

Indic 2 Description: This Indicator is used in a CTAP tutorial demonstrating disaster risk reduction and decision support systems for drought in Uttar Pradesh, India.

Indic 3 Name: Vulnerability Distribution

Label: 3A

Date: 01/27/2016

Rel Label:

Math Type: algorithm1

Type: none

Q1 Amount: 99.9720

Q1 Unit: 5year

Q2 Amount: 149.9576

Q2 Unit: 10year

Q3 Amount: 224.9364

Q3 Unit: 25year

Q4 Amount: 274.9224

Q4 Unit: 50year

Q5 Amount: 349.9010

Q5 Unit: 100year

Math Express: I3.Q1.distribtype + I3.Q2.5year + I3.Q3.10year + I3.Q4.25year + I3.Q5.50year + I3.Q6.100year + I3.Q7.200year

Math Operator: equalto

QT Amount: 0.0000

QT Unit:

QT D1 Amount: 0.0000

QT D1 Unit:

QT D2 Amount: 0.0000

QT D2 Unit:

QT Most Amount: 55.1095

QT Most Unit: total percent damage

QT Low Amount: 54.2396

QT Low Unit: lower 90 % ci

QT High Amount: 55.9793

QT High Unit: upper 90 % ci

Math Sub Type: subalgorithm9

Base IO: none

Indic 3 Description: This Indicator is used in a CTAP tutorial demonstrating disaster risk reduction and decision support systems for drought in Uttar Pradesh, India.

Indic 4 Name: Loss EP Distribution

Label: 4A

Date: 01/27/2016

Rel Label:

Math Type: algorithm1

Type: none

Q1 Amount: 16,732.0391

Q1 Unit: 5year

Q2 Amount: 25,100.9253

Q2 Unit: 10year

Q3 Amount: 39,531.4329

Q3 Unit: 25year

Q4 Amount: 50,613.3502

Q4 Unit: 50year

Q5 Amount: 70,278.5591

Q5 Unit: 100year

Math Express: I4.Q1.distribtype + I4.Q2.5year + I4.Q3.10year + I4.Q4.25year + I4.Q5.50year + I4.Q6.100year + I4.7.200year

Math Operator: equalto

QT Amount: 0.0000

QT Unit:

QT D1 Amount: 0.0000

QT D1 Unit:

QT D2 Amount: 0.0000

QT D2 Unit:

QT Most Amount: 9,650.6418

QT Most Unit: total avg ann damages

QT Low Amount: 9,349.0912

QT Low Unit: lower 90 % ci

QT High Amount: 9,958.0381

QT High Unit: upper 90 % ci

Math Sub Type: subalgorithm9

Base IO: none

Indic 4 Description: This Indicator is used in a CTAP tutorial demonstrating disaster risk reduction and decision support systems for drought in Uttar Pradesh, India.

Indic 5 Name: Cost Distribution

Label: 5A

Date: 01/27/2016

Rel Label:

Math Type: algorithm1

Type: none

Q1 Amount: 0.0000

Q1 Unit:

Q2 Amount: 0.0000

Q2 Unit:

Q3 Amount: 0.0000

Q3 Unit:

Q4 Amount: 0.0000

Q4 Unit:

Q5 Amount: 0.0000

Q5 Unit:

Math Express: I5.Q1.installcost + I5.Q2.installdistrib + I5.Q3.omcost+ I5.Q4.omdistrib+I5.Q5.isprojectcost

Math Operator: equalto

QT Amount: 0.0000

QT Unit: mean avg annual costs

QT D1 Amount: 0.0000

QT D1 Unit:

QT D2 Amount: 0.0000

QT D2 Unit:

QT Most Amount: 2,661.7080

QT Most Unit: mean avg annual costs

QT Low Amount: 2,619.7988

QT Low Unit: lower 90 % ci

QT High Amount: 2,703.6172

QT High Unit: upper 90 % ci

Math Sub Type: subalgorithm9

Base IO: none

Indic 5 Description: This Indicator is used in a CTAP tutorial demonstrating disaster risk reduction and decision support systems for drought in Uttar Pradesh, India.

Indic 6 Name: BCA Distribution

Label: 6A

Date: 01/27/2016

Rel Label:

Math Type: algorithm1

Type: none

Q1 Amount: 136,015.6106

Q1 Unit: base damage

Q2 Amount: 193.2770

Q2 Unit: base cost

Q3 Amount: 53,474.4200

Q3 Unit: AC1A_A damage

Q4 Amount: 10,571.6304

Q4 Unit: AC1A_A cost

Q5 Amount: 0.0000

Q5 Unit: none

Math Express: I6.Q1.distribtype + I6.Q2.200year + I6.3.100year + I6.Q4.50year + I6.Q5.25year + I6.Q6.10year + I6.Q7.5year

Math Operator: equalto

QT Amount: 72,162.8372

QT Unit: net benefits

QT D1 Amount: 0.0000

QT D1 Unit: none

QT D2 Amount: 0.0000

QT D2 Unit: none

QT Most Amount: 7.9532

QT Most Unit: 2_QTM_0.05_25, bcr

QT Low Amount: 7.8298

QT Low Unit: lower 90 % ci

QT High Amount: 8.0774

QT High Unit: upper 90 % ci

Math Sub Type: subalgorithm9

Base IO: none

Indic 6 Description: This Indicator is used in a CTAP tutorial demonstrating disaster risk reduction and decision support systems for drought in Uttar Pradesh, India.

Indic 7 Name: CEA Distribution

Label: 7A

Date: 01/27/2016

Rel Label:

Math Type: algorithm1

Type: none

Q1 Amount: 9,650.6418

Q1 Unit: base damage

Q2 Amount: 179.9168

Q2 Unit: base cost

Q3 Amount: 3,794.1415

Q3 Unit: AC1A_A damage

Q4 Amount: 6,838.7116

Q4 Unit: AC1A_A cost

Q5 Amount: 0.0000

Q5 Unit: none

Math Express: I7.Q1.distribtype + I7.Q2.200year + I7.Q3.100year + I7.Q4.50year + I7.Q5.25year + I7.Q6.10year + I7.Q7.5year

Math Operator: equalto

QT Amount: 1.1370

QT Unit: net benefits

QT D1 Amount: 0.0000

QT D1 Unit: none

QT D2 Amount: 0.0000

QT D2 Unit: none

QT Most Amount: 1.1370

QT Most Unit: 2_QTM_0.12_15, cer

QT Low Amount: 1.1548

QT Low Unit: lower 90 % ci

QT High Amount: 1.1196

QT High Unit: upper 90 % ci

Math Sub Type: subalgorithm9

Base IO: none

Indic 7 Description: This Indicator is used in a CTAP tutorial demonstrating disaster risk reduction and decision support systems for drought in Uttar Pradesh, India.

Output Series : CTAP Example 6 - Drought DRR and DSS

Indicators

Math Expression: I0.Q1.distribtype + I0.Q2.QT + I0.Q3.QTUnit + I0.Q4.QTD1+ I0.Q5.QTD1Unit + I0.Q6.QTD2 + I0.Q7.QTD2Unit + I0.Q8.normalization + I0.Q9.weight + I0.Q10.quantity

Score Amount: 924.5413

Score Unit: base MCA score

Score D1 Amount: 910.0722

Score D1 Unit: low ci

Score D2 Amount: 939.0103

Score D2 Unit: high ci

Distribution Type: none

Math Type: algorithm1

Score Most Amount: 924.5413

Score Most Unit: mca all locations for A

Score Low Amount: 910.0722

Score Low Unit: lower 90 % ci

Score High Amount: 939.0103

Score High Unit: upper 90 % ci

Iterations: 1000

Math Sub Type: subalgorithm12

Confid Int: 90

Random Seed: 5

Base IO: none

Score Math Result: https://devtreks1.blob.core.windows.net/resources/network_carbon/resourcepack_1543/resource_8058/Score-MCA-Result.csv

Indic 1 Name: Hazard Distribution

Label: 1A

Date: 01/27/2016

Rel Label:

Math Type: algorithm1

Dist Type: none

Q1 Amount: 49.9859

Q1 Unit: 200year

Q2 Amount: 99.9718

Q2 Unit: 100year

Q3 Amount: 199.9435

Q3 Unit: 50year

Q4 Amount: 299.9153

Q4 Unit: 25year

Q5 Amount: 499.8588

Q5 Unit: 10year

Math Express: I1.Q1.distribtype + I1.Q2.200year + I1.Q3.100year + I1.Q4. 50year + I1.Q5.25year + I1.Q6.10year + I1.Q7.5year

Math Operator: equalto

QT Amount: 238.5714

QT Unit:

QT D1 Amount: 238.5714

QT D1 Unit:

QT D2 Amount: 71.5714

QT D2 Unit:

QT Most Amount: 238.5041

QT Most Unit:

QT Low Amount: 234.7398

QT Low Unit: lower 90 % ci

QT High Amount: 242.2684

QT High Unit: upper 90 % ci

Math Sub Type: subalgorithm9

Base IO: none

Indic 1 Description: This Indicator is used in a CTAP tutorial demonstrating disaster risk reduction and decision support systems for drought in Uttar Pradesh, India.

Indic 2 Name: Exposure Distribution

Label: 2A

Date: 01/27/2016

Rel Label:

Math Type: algorithm1

Type: none

Q1 Amount: 59,483.1991

Q1 Unit: location 1 total value

Q2 Amount: 50,560.7194

Q2 Unit: location 2 total value

Q3 Amount: 0.0000

Q3 Unit: none

Q4 Amount: 0.0000

Q4 Unit: none

Q5 Amount: 0.0000

Q5 Unit: none

Math Express: I2.Q1.distribtype + I2.Q2.QT + I2.Q3.QTUnit + I2.Q4.QTD1+ I2.Q5.QTD1Unit + I2.Q6.QTD2 + I2.Q7.QTD2Unit + I2.Q8.normalization + I2.Q9.weight + I2.Q10.quantity

Math Operator: equalto

QT Amount: 110,043.9185

QT Unit: 1, 2 totals

QT D1 Amount: 0.0000

QT D1 Unit:

QT D2 Amount: 0.0000

QT D2 Unit:

QT Most Amount: 110,043.9185

QT Most Unit: drr all locations

QT Low Amount: 108,307.0972

QT Low Unit: lower 90 % ci

QT High Amount: 111,780.7398

QT High Unit: upper 90 % ci

Math Sub Type: subalgorithm9

Base IO: none

Indic 2 Description: This Indicator is used in a CTAP tutorial demonstrating disaster risk reduction and decision support systems for drought in Uttar Pradesh, India.

Indic 3 Name: Vulnerability Distribution

Label: 3A

Date: 01/27/2016

Rel Label:

Math Type: algorithm1

Type: none

Q1 Amount: 99.9720

Q1 Unit: 5year

Q2 Amount: 149.9576

Q2 Unit: 10year

Q3 Amount: 224.9364

Q3 Unit: 25year

Q4 Amount: 274.9224

Q4 Unit: 50year

Q5 Amount: 349.9010

Q5 Unit: 100year

Math Express: I3.Q1.distribtype + I3.Q2.5year + I3.Q3.10year + I3.Q4.25year + I3.Q5.50year + I3.Q6.100year + I3.Q7.200year

Math Operator: equalto

QT Amount: 0.0000

QT Unit:

QT D1 Amount: 0.0000

QT D1 Unit:

QT D2 Amount: 0.0000

QT D2 Unit:

QT Most Amount: 55.1095

QT Most Unit: total percent damage

QT Low Amount: 54.2396

QT Low Unit: lower 90 % ci

QT High Amount: 55.9793

QT High Unit: upper 90 % ci

Math Sub Type: subalgorithm9

Base IO: none

Indic 3 Description: This Indicator is used in a CTAP tutorial demonstrating disaster risk reduction and decision support systems for drought in Uttar Pradesh, India.

Indic 4 Name: Loss EP Distribution

Label: 4A

Date: 01/27/2016

Rel Label:

Math Type: algorithm1

Type: none

Q1 Amount: 16,732.0391

Q1 Unit: 5year

Q2 Amount: 25,100.9253

Q2 Unit: 10year

Q3 Amount: 39,531.4329

Q3 Unit: 25year

Q4 Amount: 50,613.3502

Q4 Unit: 50year

Q5 Amount: 70,278.5591

Q5 Unit: 100year

Math Express: I4.Q1.distribtype + I4.Q2.5year + I4.Q3.10year + I4.Q4.25year + I4.Q5.50year + I4.Q6.100year + I4.7.200year

Math Operator: equalto

QT Amount: 0.0000

QT Unit:

QT D1 Amount: 0.0000

QT D1 Unit:

QT D2 Amount: 0.0000

QT D2 Unit:

QT Most Amount: 9,650.6418

QT Most Unit: total avg ann damages

QT Low Amount: 9,349.0912

QT Low Unit: lower 90 % ci

QT High Amount: 9,958.0381

QT High Unit: upper 90 % ci

Math Sub Type: subalgorithm9

Base IO: none

Indic 4 Description: This Indicator is used in a CTAP tutorial demonstrating disaster risk reduction and decision support systems for drought in Uttar Pradesh, India.

Indic 5 Name: Cost Distribution

Label: 5A

Date: 01/27/2016

Rel Label:

Math Type: algorithm1

Type: none

Q1 Amount: 0.0000

Q1 Unit:

Q2 Amount: 0.0000

Q2 Unit:

Q3 Amount: 0.0000

Q3 Unit:

Q4 Amount: 0.0000

Q4 Unit:

Q5 Amount: 0.0000

Q5 Unit:

Math Express: I5.Q1.installcost + I5.Q2.installdistrib + I5.Q3.omcost+ I5.Q4.omdistrib+I5.Q5.isprojectcost

Math Operator: equalto

QT Amount: 0.0000

QT Unit: mean avg annual costs

QT D1 Amount: 0.0000

QT D1 Unit:

QT D2 Amount: 0.0000

QT D2 Unit:

QT Most Amount: 2,661.7080

QT Most Unit: mean avg annual costs

QT Low Amount: 2,619.7988

QT Low Unit: lower 90 % ci

QT High Amount: 2,703.6172

QT High Unit: upper 90 % ci

Math Sub Type: subalgorithm9

Base IO: none

Indic 5 Description: This Indicator is used in a CTAP tutorial demonstrating disaster risk reduction and decision support systems for drought in Uttar Pradesh, India.

Indic 6 Name: BCA Distribution

Label: 6A

Date: 01/27/2016

Rel Label:

Math Type: algorithm1

Type: none

Q1 Amount: 136,015.6106

Q1 Unit: base damage

Q2 Amount: 193.2770

Q2 Unit: base cost

Q3 Amount: 53,474.4200

Q3 Unit: AC1A_A damage

Q4 Amount: 10,571.6304

Q4 Unit: AC1A_A cost

Q5 Amount: 0.0000

Q5 Unit: none

Math Express: I6.Q1.distribtype + I6.Q2.200year + I6.3.100year + I6.Q4.50year + I6.Q5.25year + I6.Q6.10year + I6.Q7.5year

Math Operator: equalto

QT Amount: 72,162.8372

QT Unit: net benefits

QT D1 Amount: 0.0000

QT D1 Unit: none

QT D2 Amount: 0.0000

QT D2 Unit: none

QT Most Amount: 7.9532

QT Most Unit: 2_QTM_0.05_25, bcr

QT Low Amount: 7.8298

QT Low Unit: lower 90 % ci

QT High Amount: 8.0774

QT High Unit: upper 90 % ci

Math Sub Type: subalgorithm9

Base IO: none

Indic 6 Description: This Indicator is used in a CTAP tutorial demonstrating disaster risk reduction and decision support systems for drought in Uttar Pradesh, India.

Indic 7 Name: CEA Distribution

Label: 7A

Date: 01/27/2016

Rel Label:

Math Type: algorithm1

Type: none

Q1 Amount: 9,650.6418

Q1 Unit: base damage

Q2 Amount: 179.9168

Q2 Unit: base cost

Q3 Amount: 3,794.1415

Q3 Unit: AC1A_A damage

Q4 Amount: 6,838.7116

Q4 Unit: AC1A_A cost

Q5 Amount: 0.0000

Q5 Unit: none

Math Express: I7.Q1.distribtype + I7.Q2.200year + I7.Q3.100year + I7.Q4.50year + I7.Q5.25year + I7.Q6.10year + I7.Q7.5year

Math Operator: equalto

QT Amount: 1.1370

QT Unit: net benefits

QT D1 Amount: 0.0000

QT D1 Unit: none

QT D2 Amount: 0.0000

QT D2 Unit: none

QT Most Amount: 1.1370

QT Most Unit: 2_QTM_0.12_15, cer

QT Low Amount: 1.1548

QT Low Unit: lower 90 % ci

QT High Amount: 1.1196

QT High Unit: upper 90 % ci

Math Sub Type: subalgorithm9

Base IO: none

Indic 7 Description: This Indicator is used in a CTAP tutorial demonstrating disaster risk reduction and decision support systems for drought in Uttar Pradesh, India.

Feedback About carbon/output/CTAP Example 6 - Drought DRR and DSS/2141223470/sb02

Dataset: CTAP Example 6 - Drought DRR and DSS IRI This output is used to support a CTAP tutorial for droughts in Uttar Pradesh, India.

The file has been uploaded.