camx sensitivity sa runs
play

CAMx Sensitivity SA Runs G. Pirovano, P. Brotto, J. Ferreira, Y. - PowerPoint PPT Presentation

Nov 25, 2022 •279 likes •626 views

Technical Meeting WG3 Source Apport Zagreb, Croatia 27-29 June 2016 CAMx Sensitivity SA Runs G. Pirovano, P. Brotto, J. Ferreira, Y. Long, C. Emery, G. Yarwood, F. Pradelle, S. Pillon, A. Dalla Fontana, A. Poupkou, N. Liora, D. Melas What was

  1. Technical Meeting WG3 Source Apport Zagreb, Croatia 27-29 June 2016 CAMx Sensitivity SA Runs G. Pirovano, P. Brotto, J. Ferreira, Y. Long, C. Emery, G. Yarwood, F. Pradelle, S. Pillon, A. Dalla Fontana, A. Poupkou, N. Liora, D. Melas

  2. What was done? • Two 3 month periods - seasons  Summer (01/06 – 31/08/2011)  Winter (15/11/2011 – 15/02/2012) • Sensitivity analysis  benchmark case (RSE)  KV scheme changed in WRFCAMx (from YSU to CMAQ) (ARPAV)  nested domain switched off (influence of resolution on SA results) (UAVR)  evaluate Organic aerosol trough VBS instead of SOAP (RE) • 10 receptors • 9 mandatory categories/ 15 optional • SOA PSAT – turned off 2

  3. Which categories/species? Species PM25 PM10 EC OPA-10 POA SOA NO3 SO4 NH4 OPA-25 3

  4. Which categories/species? Mandatory categories Optional categories 01 - Electric Energy production 01 - Electric Energy production 02- BIO - Domestic heating (b. burning) 02-BIO - Domestic heating (biomass burning) 03-04 - Industrial processes 03-04 - Industrial processes 07 - Transport (all) 07-RTR - Transport (others) 71-RTG - Transport (gasoline) 72-RTD - Transport (heavy duty) 75-RTW - Transport (mopeds) 08 – Shipping 08 – Shipping 10 – Agriculture 10 – Agriculture 11 - Dust 11-DST – Dust 99 - Other Anthrop + MS2 other + SSalt + 11-SLT – Sea Salt BVOC 11-BSO – Biogenic VOC 99 - Other Anthrop 02-OTH - Domestic heating (other) ALL_BC - contribution of boundary conditions 4

  5. Global Results @ LENS PARIS RUR_BKG2 5

  6. Results @LENS Totals EC POA ARPAV RSE UAVR ARPAV RSE UAVR 2.5 3 2.5 2 2 1.5 1.5 1 1 0.5 0.5 0 0 WIN SUM WIN SUM SO 4 NH 4 NO 3 ARPAV RSE UAVR ARPAV RSE UAVR ARPAV RSE UAVR 3 2.5 5 2.5 2 4 2 1.5 3 1.5 1 2 1 0.5 1 0.5 0 0 0 WIN SUM WIN SUM WIN SUM 6

  7. Results @LENS Totals OPA-25 OPA-10 SOA ARPAV RSE UAVR ARPAV RSE UAVR ARPAV RSE UAVR 6 12 0.12 5 10 0.1 4 8 0.08 3 6 0.06 2 4 0.04 1 2 0.02 0 0 0 WIN SUM WIN SUM WIN SUM PM10 PM2.5 ARPAV RSE UAVR ARPAV RSE UAVR 25 25 20 20 15 15 10 10 5 5 0 0 WIN SUM WIN SUM 7

  8. Results @PARIS Totals EC POA ARPAV RSE UAVR ARPAV RSE UAVR 2.5 3 2.5 2 2 1.5 1.5 1 1 0.5 0.5 0 0 WIN SUM WIN SUM SO 4 NO 3 NH 4 ARPAV RSE UAVR ARPAV RSE UAVR ARPAV RSE UAVR 3 5 2.5 2.5 4 2 2 3 1.5 1.5 2 1 1 1 0.5 0.5 0 0 0 WIN SUM WIN SUM WIN SUM 8

  9. Results @PARIS Totals OPA-25 OPA-10 SOA ARPAV RSE UAVR ARPAV RSE UAVR ARPAV RSE UAVR 6 12 0.12 5 10 0.1 8 4 0.08 6 3 0.06 2 4 0.04 1 2 0.02 0 0 0 WIN SUM WIN SUM WIN SUM PM10 PM2.5 ARPAV RSE UAVR ARPAV RSE UAVR 25 25 20 20 15 15 10 10 5 5 0 0 WIN SUM WIN SUM 9

  10. Results @RUR_BKG2 Totals EC POA ARPAV RSE UAVR ARPAV RSE UAVR 2.5 3 2.5 2 2 1.5 1.5 1 1 0.5 0.5 0 0 WIN SUM WIN SUM SO 4 NO 3 NH 4 ARPAV RSE UAVR ARPAV RSE UAVR ARPAV RSE UAVR 3 5 2.5 2.5 4 2 2 3 1.5 1.5 2 1 1 1 0.5 0.5 0 0 0 WIN SUM WIN SUM WIN SUM 10

  11. Results @RUR_BKG2 Totals OPA-25 SOA OPA-10 ARPAV RSE UAVR ARPAV RSE UAVR ARPAV RSE UAVR 6 0.12 12 5 0.1 10 4 0.08 8 3 0.06 6 2 0.04 4 1 0.02 2 0 0 0 WIN SUM WIN SUM WIN SUM PM10 PM2.5 ARPAV RSE UAVR ARPAV RSE UAVR 25 25 20 20 15 15 10 10 5 5 0 0 WIN SUM WIN SUM 11

  12. Detailed Results @ LENS 12

  13. Results @LENS EC Winter Summer 1 1 EC-25-ALLBC EC-25-ALLBC 0.8 0.8 EC-25-99-OTH EC-25-99-OTH EC-25-11-DST EC-25-11-DST 0.6 0.6 Man EC-25-AGR EC-25-AGR 0.4 0.4 EC-25-08-SHP EC-25-08-SHP EC-25-07-RTR EC-25-07-RTR 0.2 0.2 EC-25-34-IND EC-25-34-IND 0 0 EC-25-02-BIO EC-25-02-BIO ARPAVman RSEman UAVRman ARPAVman RSEman UAVRman Similar contributions among runs EC-25-ALLBC EC-25-ALLBC but differences for different seasons 1 1 EC-25-99-OTH EC-25-99-OTH EC-25-11-BSO EC-25-11-BSO 0.8 0.8 EC-25-11-SLT EC-25-11-SLT EC-25-11-DST EC-25-11-DST 0.6 0.6 EC-25-10-AGR EC-25-10-AGR EC-25-08-SHP EC-25-08-SHP EC-25-75-RTW EC-25-75-RTW 0.4 0.4 Opt EC-25-72-RTD EC-25-72-RTD EC-25-71-RTG EC-25-71-RTG 0.2 0.2 EC-25-07-RTR EC-25-07-RTR EC-25-34-IND EC-25-34-IND EC-25-02-BIO EC-25-02-BIO 0 0 EC-25-02-OTH EC-25-02-OTH ARPAVopt RSEopt UAVRopt ARPAVopt RSEopt UAVRopt EC-25-01-ENI EC-25-01-ENI 13

  14. Results @LENS EC Opt Summer EC-25-01-ENI RSEopt UAVRopt EC-25-02-OTH EC-25-02-BIO EC-25-34-IND EC-25-07-RTR EC-25-01-ENI EC-25-71-RTG EC-25-02-OTH EC-25-72-RTD EC-25-75-RTW EC-25-02-BIO EC-25-08-SHP EC-25-34-IND EC-25-10-AGR EC-25-07-RTR EC-25-11-DST EC-25-11-SLT EC-25-71-RTG EC-25-11-BSO EC-25-72-RTD EC-25-99-OTH EC-25-75-RTW EC-25-ALLBC EC-25-08-SHP EC-25-10-AGR EC-25-11-DST Winter EC-25-11-SLT EC-25-11-BSO EC-25-99-OTH NO3-25-01-ENI NO3-25-01-ENI ARPAVopt RSEopt UAVRopt EC-25-ALLBC NO3-25-02-OTH NO3-25-02-OTH NO3-25-02-BIO NO3-25-02-BIO NO3-25-34-IND NO3-25-34-IND NO3-25-07-RTR NO3-25-07-RTR NO3-25-71-RTG NO3-25-71-RTG NO3-25-72-RTD NO3-25-72-RTD NO3-25-75-RTW NO3-25-75-RTW NO3-25-08-SHP NO3-25-08-SHP NO3-25-10-AGR NO3-25-10-AGR NO3-25-11-DST NO3-25-11-DST NO3-25-11-SLT NO3-25-11-SLT Different contributions from NO3-25-11-BSO NO3-25-11-BSO NO3-25-99-OTH NO3-25-99-OTH energy, small combustion, NO3-25-ALLBC NO3-25-ALLBC transport among runs 14

  15. Results @LENS POA Winter Summer 1.6 1.6 POA-25-ALLBC POA-25-ALLBC POA-25-99-OTH POA-25-99-OTH 1.2 1.2 POA-25-11-DST POA-25-11-DST Man POA-25-10-AGR POA-25-10-AGR 0.8 0.8 POA-25-08-SHP POA-25-08-SHP POA-25-07-RTR POA-25-07-RTR 0.4 0.4 POA-25-34-IND POA-25-34-IND POA-25-02-BIO POA-25-02-BIO 0 0 POA-25-01-ENI POA-25-01-ENI ARPAVman RSEman UAVRman ARPAVman RSEman UAVRman Similar contributions among runs POA-25-ALLBC POA-25-ALLBC 1.6 1.6 but differences for different seasons POA-25-99-OTH POA-25-99-OTH POA-25-11-BSO POA-25-11-BSO – biomass burning POA-25-11-SLT POA-25-11-SLT 1.2 1.2 POA-25-11-DST POA-25-11-DST POA-25-10-AGR POA-25-10-AGR POA-25-08-SHP POA-25-08-SHP 0.8 0.8 Opt POA-25-75-RTW POA-25-75-RTW POA-25-72-RTD POA-25-72-RTD POA-25-71-RTG POA-25-71-RTG 0.4 0.4 POA-25-07-RTR POA-25-07-RTR POA-25-34-IND POA-25-34-IND POA-25-02-BIO POA-25-02-BIO 0 0 POA-25-02-OTH POA-25-02-OTH ARPAVopt RSEopt UAVRopt ARPAVopt RSEopt UAVRopt POA-25-01-ENI POA-25-01-ENI 15

  16. Results @LENS NO3 Winter Summer 5.0 5.0 NO3-25-ALLBC NO3-25-ALLBC NO3-25-99-OTH NO3-25-99-OTH 4.0 4.0 NO3-25-11-DST NO3-25-11-DST Man 3.0 3.0 NO3-25-10-AGR NO3-25-10-AGR NO3-25-08-SHP NO3-25-08-SHP 2.0 2.0 NO3-25-07-RTR NO3-25-07-RTR NO3-25-34-IND NO3-25-34-IND 1.0 1.0 NO3-25-02-BIO NO3-25-02-BIO 0.0 0.0 NO3-25-01-ENI NO3-25-01-ENI ARPAVman RSEman UAVRman ARPAVman RSEman UAVRman Different contributions among runs and seasons NO3-25-ALLBC 5.0 NO3-25-ALLBC 5.0 NO3-25-99-OTH NO3-25-99-OTH NO3-25-11-BSO NO3-25-11-BSO 4.0 4.0 NO3-25-11-SLT NO3-25-11-SLT NO3-25-11-DST NO3-25-11-DST NO3-25-10-AGR NO3-25-10-AGR 3.0 3.0 Opt NO3-25-08-SHP NO3-25-08-SHP NO3-25-75-RTW NO3-25-75-RTW 2.0 2.0 NO3-25-72-RTD NO3-25-72-RTD NO3-25-71-RTG NO3-25-71-RTG NO3-25-07-RTR 1.0 1.0 NO3-25-07-RTR NO3-25-34-IND NO3-25-34-IND NO3-25-02-BIO NO3-25-02-BIO 0.0 0.0 NO3-25-02-OTH NO3-25-02-OTH 16 ARPAVopt RSEopt UAVRopt ARPAVopt RSEopt UAVRopt NO3-25-01-ENI NO3-25-01-ENI

  17. Results @LENS NO3 Opt Summer RSEopt UAVRopt NO3-25-01-ENI NO3-25-02-OTH Different contributions NO3-25-02-BIO among runs and seasons NO3-25-34-IND NO3-25-07-RTR from energy, transport NO3-25-71-RTG sources, boundaries NO3-25-72-RTD NO3-25-75-RTW NO3-25-08-SHP Winter NO3-25-10-AGR NO3-25-11-DST NO3-25-11-SLT NO3-25-01-ENI NO3-25-01-ENI ARPAVopt RSEopt UAVRopt NO3-25-11-BSO NO3-25-02-OTH NO3-25-02-OTH NO3-25-02-BIO NO3-25-02-BIO NO3-25-99-OTH NO3-25-34-IND NO3-25-34-IND NO3-25-ALLBC NO3-25-07-RTR NO3-25-07-RTR NO3-25-71-RTG NO3-25-71-RTG NO3-25-72-RTD NO3-25-72-RTD NO3-25-75-RTW NO3-25-75-RTW NO3-25-08-SHP NO3-25-08-SHP NO3-25-10-AGR NO3-25-10-AGR NO3-25-11-DST NO3-25-11-DST NO3-25-11-SLT NO3-25-11-SLT NO3-25-11-BSO NO3-25-11-BSO NO3-25-99-OTH NO3-25-99-OTH NO3-25-ALLBC NO3-25-ALLBC 17

  18. Results @LENS SO4 Winter Summer 2.5 2.5 SO4-25-ALLBC SO4-25-ALLBC SO4-25-99-OTH SO4-25-99-OTH 2 2 SO4-25-11-DST SO4-25-11-DST 1.5 1.5 SO4-25-10-AGR SO4-25-10-AGR Man SO4-25-08-SHP SO4-25-08-SHP 1 1 SO4-25-07-RTR SO4-25-07-RTR SO4-25-34-IND SO4-25-34-IND 0.5 0.5 SO4-25-02-BIO SO4-25-02-BIO 0 0 SO4-25-01-ENI SO4-25-01-ENI ARPAVman RSEman UAVRman ARPAVman RSEman UAVRman SO4-25-ALLBC SO4-25-ALLBC 2.5 2.5 SO4-25-99-OTH SO4-25-99-OTH SO4-25-11-BSO SO4-25-11-BSO 2 2 SO4-25-11-SLT SO4-25-11-SLT SO4-25-11-DST SO4-25-11-DST SO4-25-10-AGR SO4-25-10-AGR 1.5 1.5 SO4-25-08-SHP SO4-25-08-SHP SO4-25-75-RTW SO4-25-75-RTW Opt 1 1 SO4-25-72-RTD SO4-25-72-RTD SO4-25-71-RTG SO4-25-71-RTG SO4-25-07-RTR SO4-25-07-RTR 0.5 0.5 SO4-25-34-IND SO4-25-34-IND SO4-25-02-BIO SO4-25-02-BIO 0 0 SO4-25-02-OTH SO4-25-02-OTH ARPAVopt RSEopt UAVRopt ARPAVopt RSEopt UAVRopt SO4-25-01-ENI SO4-25-01-ENI 18

Recommend

WG3 Source Apportionment 27-29 June 2016 CAMx Base Configuration - Model Performance Evaluation

WG3 Source Apportionment 27-29 June 2016 CAMx Base Configuration - Model Performance Evaluation

WG3 Source Apportionment 27-29 June 2016 CAMx Base Configuration - Model Performance Evaluation G. Pirovano, P. Brotto, J. Ferreira, Y. Long, C. Emery, G. Yarwood, F. Pradelle, S. Pillon, A. Dalla Fontana, A. Poupkou, N. Liora, D. Melas 1 CAMx

963 views • 46 slides
apportionment during an air quality episode with the MM5/CAMx model V.D. Assimakopoulos, K.M.

apportionment during an air quality episode with the MM5/CAMx model V.D. Assimakopoulos, K.M.

Simulating the photochemical pollution above the Greater Athens Area and Ozone source apportionment during an air quality episode with the MM5/CAMx model V.D. Assimakopoulos, K.M. Fameli, V. Kotroni Institute for Environmental Research and

330 views • 22 slides
Fractional Factorial Designs Each replicate of a 2 k design requires 2 k runs. E.g. 64 runs for k =

Fractional Factorial Designs Each replicate of a 2 k design requires 2 k runs. E.g. 64 runs for k =

ST 516 Experimental Statistics for Engineers II Fractional Factorial Designs Each replicate of a 2 k design requires 2 k runs. E.g. 64 runs for k = 6, or 1024 runs for k = 10. When this is infeasible, we use a fraction of the runs. As a result, we

580 views • 18 slides
2 An Aqueduct Runs Through It 3 An Aqueduct Runs Through It 4 An Aqueduct Runs Through It 5

2 An Aqueduct Runs Through It 3 An Aqueduct Runs Through It 4 An Aqueduct Runs Through It 5

An Aqueduct Runs Through It A Series on the Future of Californias Water Supply Southern California Planning Congress in cooperation with the California Center for Land and Water Stewardship, Cal Poly Pomona Barry Lehrman Director, Aqueduct

658 views • 10 slides
Power Development Plan 2015 on air quality from 2016 to 2036 using GAINS and CAMx Jared Allard,

Power Development Plan 2015 on air quality from 2016 to 2036 using GAINS and CAMx Jared Allard,

Analysis of the effects of the Thai Power Development Plan 2015 on air quality from 2016 to 2036 using GAINS and CAMx Jared Allard, Michael Alleyne, Daniel Day, Robert Gourley, Thao Pham, Thanonphat Boonman, Sebastien Bonnet, Savitri Garivait

533 views • 32 slides
Observing Facts Andreas Zeller 1 Reasoning about Runs Experimentation n controlled runs

Observing Facts Andreas Zeller 1 Reasoning about Runs Experimentation n controlled runs

Observing Facts Andreas Zeller 1 Reasoning about Runs Experimentation n controlled runs Induction n runs Observation 1 run Deduction 0 runs 2 2 Reasoning about Runs Observation 1 run Deduction 0 runs 3 3 Principles of

559 views • 9 slides
Folding Carton Point of Purchase Display Purchasing Small runs Large runs Combo runs

Folding Carton Point of Purchase Display Purchasing Small runs Large runs Combo runs

Folding Carton Point of Purchase Display Purchasing Small runs Large runs Combo runs VMI In House Graphic Design In House Structural Design Stock Items WHO ARE WE? Packaging Technologies Inc. 310 Courtland Ave.

602 views • 5 slides
Climate Sensitivity We consider climate sensitivity in a very simple context. Climate Sensitivity

Climate Sensitivity We consider climate sensitivity in a very simple context. Climate Sensitivity

Climate Sensitivity We consider climate sensitivity in a very simple context. Climate Sensitivity We consider climate sensitivity in a very simple context. We consider a single-layer isothermal atmosphere. Climate Sensitivity We consider

1.09k views • 81 slides
CORRECTING CAMx CLOUD FIELD BASED ON GOES OBSERVED CLOUDS Arastoo Pour Biazar Richard T. McNider

CORRECTING CAMx CLOUD FIELD BASED ON GOES OBSERVED CLOUDS Arastoo Pour Biazar Richard T. McNider

CORRECTING CAMx CLOUD FIELD BASED ON GOES OBSERVED CLOUDS Arastoo Pour Biazar Richard T. McNider Yun-Hee Park University of Alabama in Huntsville Daniel Cohan Rice University PRESENTED AT: 11 th Annual CMAS Conference Friday Center,

466 views • 22 slides
M.Ph. D.R. V inj for a given C A m A C A D.R. Sensitivity

M.Ph. D.R. V inj for a given C A m A C A D.R. Sensitivity

Detector D.R. = f (m A ); Sample D.R. = f (c A M.Ph . ) Specific c A Injection System V inj M.Ph. D.R. V inj for a given C A m A C A D.R. Sensitivity thus V inj Sensitivity Usual sample

466 views • 43 slides
- chisq.test(x, y) runs <- 1000 rbeta(runs, shape1, shape2) runs <- 1000 experiment_1

- chisq.test(x, y) runs <- 1000 rbeta(runs, shape1, shape2) runs <- 1000 experiment_1

- chisq.test(x, y) runs <- 1000 rbeta(runs, shape1, shape2) runs <- 1000 experiment_1 <- rbeta(runs, shape1, shape2) experiment_2 <- rbeta(runs, shape1, shape2) runs <- 1000 experiment_1 <- rdirichlet(runs, alpha = c(a, b,

482 views • 20 slides
runs and dat aset s analysis of t he dat aset s remaining quest ions & work runs

runs and dat aset s analysis of t he dat aset s remaining quest ions & work runs

Diurnal cycle of deep convection over land status of the intercomparison case runs and dat aset s analysis of t he dat aset s remaining quest ions & work runs and datasets use of more realistic surf ace heat f luxes t o

520 views • 25 slides
Thanks to our Sponsors A brief history of Protg 1987 PROTG runs on LISP machines

Thanks to our Sponsors A brief history of Protg 1987 PROTG runs on LISP machines

Thanks to our Sponsors A brief history of Protg 1987 PROTG runs on LISP machines 1992 PROTG-II runs under NeXTStep 1995 Protg/Win runs under guess! 2000 Protg-2000 runs under Java 2005 Protg 3.0

815 views • 65 slides
Sensitivity to Market Risks 1 METAC Workshop Sensitivity to Market Risks I OVERVIEW A

Sensitivity to Market Risks 1 METAC Workshop Sensitivity to Market Risks I OVERVIEW A

METAC Workshop Sensitivity to Market Risk Sensitivity to Market Risks 1 METAC Workshop Sensitivity to Market Risks I OVERVIEW A DEFINITION Sensitivity to Market Risks is one of the most complex areas of banking and its an area where

706 views • 67 slides
Repeat Repeat runs/variations on a theme runs/variations on a theme Model

Repeat Repeat runs/variations on a theme runs/variations on a theme Model

Repeat Repeat runs/variations on a theme runs/variations on a theme Model Participant RESRAD-BIOTA [basics] Sunita Kamboj (ANL, USA) RESRAD-BIOTA [available Mike Wood (Liverpool, UK) software] EA R&D128

752 views • 8 slides
WW Threshold scan runs and Z pole runs in CEPC Zhijun Liang IHEP,CAS 1 Introduction Some

WW Threshold scan runs and Z pole runs in CEPC Zhijun Liang IHEP,CAS 1 Introduction Some

WW Threshold scan runs and Z pole runs in CEPC Zhijun Liang IHEP,CAS 1 Introduction Some discussion about CEPC Z pole running . http://indico.ihep.ac.cn/event/7709/ Two possibility: L=1.6 X 10 35 cm -2 s -1 , solenoid field = 3T

411 views • 11 slides
Running Android in a Container How the play store runs on Chrome OS How Android Runs On Chrome

Running Android in a Container How the play store runs on Chrome OS How Android Runs On Chrome

Running Android in a Container How the play store runs on Chrome OS How Android Runs On Chrome OS Chrome Graphics Buffer (Prime FD) Android IPC IPC Chrome IPC Binder System Bridge Bridge (*/init*) Input Events network config, GL,

296 views • 10 slides
Content of the lecture n Definition sensitivity and uncertainty n Sensitivity o Areas of the

Content of the lecture n Definition sensitivity and uncertainty n Sensitivity o Areas of the

IAEA Safety Assessment Education and Training (SAET) Programme Joint ICTP-IAEA Essential Knowledge Workshop on Deterministic Safety Assessment and Engineering Aspects Important to Safety Sensitivity and uncertainty Marin Kri tof, NNEES

380 views • 33 slides
Getting real on climate sensitivity Nicholas Lewis September 2019, Dublin How I became a

Getting real on climate sensitivity Nicholas Lewis September 2019, Dublin How I became a

Getting real on climate sensitivity Nicholas Lewis September 2019, Dublin How I became a climate scientist Hooked on Climate Audit blog Steve McIntyre Why I focus on climate sensitivity Very valuable to know climate sensitivity

420 views • 28 slides
Bootstrapping Sensitivity analysis Qingyuan Zhao Statistical Laboratory, University of Cambridge

Bootstrapping Sensitivity analysis Qingyuan Zhao Statistical Laboratory, University of Cambridge

Bootstrapping Sensitivity analysis Qingyuan Zhao Statistical Laboratory, University of Cambridge August 3, 2020 @ JSM Sensitivity analysis The broader concept [Saltelli et al., 2004] Sensitivity analysis is the study of how the

477 views • 19 slides
Blocking in the 2 k Design Blocking may be required because: we cannot perform all required runs

Blocking in the 2 k Design Blocking may be required because: we cannot perform all required runs

ST 516 Experimental Statistics for Engineers II Blocking in the 2 k Design Blocking may be required because: we cannot perform all required runs under homogeneous conditions; e.g. raw material comes in limited batches; we want to carry out runs

487 views • 23 slides
Quantifying the sensitivity of U.S. ozone concentrations to domestic vs international emissions

Quantifying the sensitivity of U.S. ozone concentrations to domestic vs international emissions

Quantifying the sensitivity of U.S. ozone concentrations to domestic vs international emissions through coupled GEOS-Chem Adjoint and CMAQ DDM source-receptor modeling Or: The Boundary Sensitivity Project Farhan Akhtar, Barron Henderson,

659 views • 38 slides
Performance Assessment in Optimization Anne Auger, CMAP & Inria Visualization and

Performance Assessment in Optimization Anne Auger, CMAP & Inria Visualization and

Performance Assessment in Optimization Anne Auger, CMAP & Inria Visualization and presentation of single runs Displaying 3 runs (three trials) Displaying 3 runs (three trials) Displaying 3 runs (three trials) Displaying 51 runs Which

742 views • 50 slides
Evaluation of BDCP Operations Sensitivity to a Range of San Joaquin Sensitivity to a Range of San

Evaluation of BDCP Operations Sensitivity to a Range of San Joaquin Sensitivity to a Range of San

Evaluation of BDCP Operations Sensitivity to a Range of San Joaquin Sensitivity to a Range of San Joaquin River Flows BDCP Steering Committee August 12, 2010 August 12, 2010 PRELIMINARY DRAFTNOT FOR DISTRIBUTION Separate Analyses Separate

399 views • 22 slides

More recommend