Emulation techniques for the reduction and sensitivity analysis of complex environmental models
Emulation (also denoted as metamodelling in the literature) is an important and expanding area of research and represents one of the major advances in the study of complex mathematical models, with applications ranging from model reduction to sensitivity analysis. Despite the stunning increase in co...
Saved in:
| Published in: | Environmental modelling & software : with environment data news Vol. 34; pp. 1 - 4 |
|---|---|
| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier Ltd
01.06.2012
|
| Subjects: | |
| ISSN: | 1364-8152, 1873-6726 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract | Emulation (also denoted as metamodelling in the literature) is an important and expanding area of research and represents one of the major advances in the study of complex mathematical models, with applications ranging from model reduction to sensitivity analysis. Despite the stunning increase in computing power over recent decades, computational limitations remain a major barrier to the effective and systematic use of large-scale, process-based simulation models in rational environmental decision-making. Whereas complex models may provide clear advantages when the goal of the modelling exercise is to enhance our understanding of the natural processes, they introduce problems of model identifiability caused by over-parameterization and suffer from high computational burden when used in management and planning problems, i.e. when they are combined with optimization routines. Therefore, a combination of techniques for complex model reduction with procedures for data assimilation and learning-based control could help to bridge the gap between science and the operational use of models for decision-making. Furthermore sensitivity analysis is a well known and established tool for evaluating robustness of model based results in management and planning, and is often performed in tandem with emulation. Indeed, emulators provide an efficient means for doing a sensitivity analysis for large and expensive models.
This thematic issue aims at providing a guide and reference for modellers in choosing appropriate emulation modelling approaches and understanding their features. Tools and applications of sensitivity analysis in the context of environmental modelling are also addressed, which is a typical complement of emulation in most applications. We hope that this thematic issue provides a useful benchmark in the academic literature for this important and expanding area of research, and will create an opportunity for dialogue between methodological and user-focused research. |
|---|---|
| AbstractList | Emulation (also denoted as metamodelling in the literature) is an important and expanding area of research and represents one of the major advances in the study of complex mathematical models, with applications ranging from model reduction to sensitivity analysis. Despite the stunning increase in computing power over recent decades, computational limitations remain a major barrier to the effective and systematic use of large-scale, process-based simulation models in rational environmental decision-making. Whereas complex models may provide clear advantages when the goal of the modelling exercise is to enhance our understanding of the natural processes, they introduce problems of model identifiability caused by over-parameterization and suffer from high computational burden when used in management and planning problems, i.e. when they are combined with optimization routines. Therefore, a combination of techniques for complex model reduction with procedures for data assimilation and learning-based control could help to bridge the gap between science and the operational use of models for decision-making. Furthermore sensitivity analysis is a well known and established tool for evaluating robustness of model based results in management and planning, and is often performed in tandem with emulation. Indeed, emulators provide an efficient means for doing a sensitivity analysis for large and expensive models. This thematic issue aims at providing a guide and reference for modellers in choosing appropriate emulation modelling approaches and understanding their features. Tools and applications of sensitivity analysis in the context of environmental modelling are also addressed, which is a typical complement of emulation in most applications. We hope that this thematic issue provides a useful benchmark in the academic literature for this important and expanding area of research, and will create an opportunity for dialogue between methodological and user-focused research. Emulation (also denoted as metamodelling in the literature) is an important and expanding area of research and represents one of the major advances in the study of complex mathematical models, with applications ranging from model reduction to sensitivity analysis. Despite the stunning increase in computing power over recent decades, computational limitations remain a major barrier to the effective and systematic use of large-scale, process-based simulation models in rational environmental decision-making. Whereas complex models may provide clear advantages when the goal of the modelling exercise is to enhance our understanding of the natural processes, they introduce problems of model identifiability caused by over-parameterization and suffer from high computational burden when used in management and planning problems, i.e. when they are combined with optimization routines. Therefore, a combination of techniques for complex model reduction with procedures for data assimilation and learning-based control could help to bridge the gap between science and the operational use of models for decision-making. Furthermore sensitivity analysis is a well known and established tool for evaluating robustness of model based results in management and planning, and is often performed in tandem with emulation. Indeed, emulators provide an efficient means for doing a sensitivity analysis for large and expensive models. This thematic issue aims at providing a guide and reference for modellers in choosing appropriate emulation modelling approaches and understanding their features. Tools and applications of sensitivity analysis in the context of environmental modelling are also addressed, which is a typical complement of emulation in most applications. We hope that this thematic issue provides a useful benchmark in the academic literature for this important and expanding area of research, and will create an opportunity for dialogue between methodological and user-focused research. |
| Author | Ratto, Marco Castelletti, Andrea Pagano, Andrea |
| Author_xml | – sequence: 1 givenname: Marco surname: Ratto fullname: Ratto, Marco email: marco.ratto@jrc.ec.europa.eu organization: European Commission, Joint Research Centre, 21027 Ispra, Italy – sequence: 2 givenname: Andrea surname: Castelletti fullname: Castelletti, Andrea organization: Department of Electronics and Information, Politecnico di Milano, Milan, Italy – sequence: 3 givenname: Andrea surname: Pagano fullname: Pagano, Andrea organization: European Commission, Joint Research Centre, 21027 Ispra, Italy |
| BookMark | eNqFkU1PAyEQhonRRK3-BCNHL1thYdndeDDG1I_ExIP2TFh2VmlYqEAb---lrScvJkMYwvvODA-n6NB5BwhdUDKlhIrrxRTcOvohTUtC6TQHIewAndCmZoWoS3GYcyZ40dCqPEanMS4IITnnJ0jOxpVVyXiHE-hPZ75WEPHgA06fgAP0K727VK7HEVw0yaxN2uSzsptoIvYD1n5cWvjGeQoTvBvBJWXx6Huw8QwdDcpGOP_dJ2j-MHu_fypeXh-f7-9eCs1EmYq2ZjUVle46CqrThHKgTSeANTXvWsJJR6kYRMcb1dJy0LwBpZhoe13mBYpN0NW-7jL47ROSHE3UYK1y4FdRUtFy3rK2arP0Zi_VwccYYJDapB2CFJSxkhK5xSoX8her3GKVOTLW7K7-uJfBjCps_vVd7n2D8lJ9BBPl_C0LKkLK_BkZwATd7hUZG6wNBBm1AaehNwF0kr03__T4Abg3o2Y |
| CitedBy_id | crossref_primary_10_1016_j_envsoft_2012_12_008 crossref_primary_10_3390_w7052060 crossref_primary_10_5194_hess_24_4641_2020 crossref_primary_10_1002_ecs2_1238 crossref_primary_10_1016_j_envsoft_2014_05_011 crossref_primary_10_3390_computation11080159 crossref_primary_10_1016_j_earscirev_2019_04_006 crossref_primary_10_1111_1477_9552_12543 crossref_primary_10_1016_j_ecolmodel_2015_01_026 crossref_primary_10_1287_opre_2019_1860 crossref_primary_10_2166_hydro_2016_086 crossref_primary_10_1016_j_envsoft_2018_10_008 crossref_primary_10_1002_hyp_11314 crossref_primary_10_1002_hyp_13699 crossref_primary_10_1029_2011WR011527 crossref_primary_10_1016_j_envsoft_2016_02_008 crossref_primary_10_1016_j_ejor_2015_04_042 crossref_primary_10_1016_j_envsoft_2018_05_004 crossref_primary_10_1016_j_envsoft_2019_104587 crossref_primary_10_1016_j_ress_2012_11_001 crossref_primary_10_1029_2020WR028435 crossref_primary_10_1016_j_envsoft_2012_10_004 crossref_primary_10_1016_j_envsoft_2017_01_001 crossref_primary_10_1007_s00477_020_01867_0 crossref_primary_10_1111_rssb_12052 crossref_primary_10_1007_s10144_013_0422_1 crossref_primary_10_1016_j_envsoft_2021_105290 crossref_primary_10_1080_17499518_2014_958173 crossref_primary_10_1029_2022JF006620 crossref_primary_10_1016_j_envsoft_2013_07_010 crossref_primary_10_1016_j_ecolmodel_2019_02_018 crossref_primary_10_1016_j_envsoft_2018_08_009 crossref_primary_10_1016_j_envsoft_2012_08_006 crossref_primary_10_1016_j_envsoft_2013_08_008 crossref_primary_10_1007_s10236_017_1106_8 crossref_primary_10_1016_j_envsoft_2014_01_012 crossref_primary_10_1002_hyp_10249 crossref_primary_10_1016_j_envsoft_2018_03_026 crossref_primary_10_1111_ecog_05956 crossref_primary_10_1186_s40645_019_0294_x crossref_primary_10_5194_hess_23_3787_2019 crossref_primary_10_1002_wrcr_20432 crossref_primary_10_1080_10643389_2017_1393264 crossref_primary_10_1016_j_envsoft_2021_105238 crossref_primary_10_1016_j_envsoft_2014_07_007 crossref_primary_10_1016_j_envsoft_2012_07_004 crossref_primary_10_1016_j_envsoft_2014_09_013 crossref_primary_10_1016_j_ress_2019_106737 crossref_primary_10_5194_hess_24_4567_2020 crossref_primary_10_1080_00949655_2014_932358 crossref_primary_10_1016_j_ress_2020_107083 crossref_primary_10_1016_j_envsoft_2015_03_020 crossref_primary_10_1016_j_envsoft_2012_09_011 crossref_primary_10_1016_j_envsoft_2013_06_007 crossref_primary_10_1016_j_envsoft_2014_11_010 crossref_primary_10_1002_met_2202 crossref_primary_10_1016_j_envsoft_2014_05_026 crossref_primary_10_1016_j_jhydrol_2017_12_042 crossref_primary_10_1007_s11269_019_02319_3 crossref_primary_10_1002_wrcr_20145 crossref_primary_10_1016_j_envsoft_2014_01_003 crossref_primary_10_1080_03610926_2017_1388397 crossref_primary_10_1007_s10584_014_1313_y crossref_primary_10_5194_acp_19_2881_2019 crossref_primary_10_1080_02626667_2014_943232 crossref_primary_10_1016_j_ijggc_2016_01_009 crossref_primary_10_1016_j_scitotenv_2019_07_206 crossref_primary_10_1029_2018WR023382 crossref_primary_10_1002_eqe_4151 crossref_primary_10_1016_j_envsoft_2013_05_005 crossref_primary_10_1016_j_jglr_2014_02_014 crossref_primary_10_1016_j_envsoft_2013_09_028 crossref_primary_10_1016_j_eist_2014_10_001 crossref_primary_10_1016_j_envsoft_2018_11_011 crossref_primary_10_2136_vzj2015_05_0068 crossref_primary_10_1016_j_ecolmodel_2014_04_009 |
| Cites_doi | 10.1016/j.envsoft.2007.11.007 10.1016/j.envsoft.2011.09.010 10.1287/inte.5.3.21 10.1016/j.envsoft.2011.04.003 10.1198/TECH.2010.07151 10.1080/00207170410001713448 10.1007/s10182-010-0143-0 10.1016/j.cpc.2009.09.018 10.5194/hess-11-793-2007 10.1016/j.envsoft.2010.04.012 10.1016/j.envsoft.2011.09.003 10.1016/j.advwatres.2007.04.009 10.1007/s10182-010-0148-8 10.1061/(ASCE)0733-9429(2005)131:2(117) 10.1016/j.envsoft.2011.01.008 10.1214/ss/1177012413 10.1021/cr040659d 10.1016/j.envsoft.2011.01.002 10.1016/j.envsoft.2010.06.010 10.1016/j.envsoft.2006.10.004 10.1016/j.envsoft.2012.01.002 10.1111/j.1467-9868.2004.05304.x 10.1080/02664769624206 10.1016/j.cpc.2010.12.039 10.1016/S0010-4655(98)00168-4 10.1007/s00477-008-0271-1 10.1029/94WR01732 10.1016/j.envsoft.2011.05.003 10.1016/j.advwatres.2005.11.012 10.1897/08-102R.1 10.1016/j.envsoft.2011.08.008 10.1016/j.envsoft.2005.04.010 10.1214/009053607000000163 10.1016/j.advwatres.2009.03.002 10.1016/j.envsoft.2011.06.006 10.1080/16843703.2006.11673107 10.1198/TECH.2009.514INTRO 10.1016/j.envsoft.2011.04.007 10.1016/j.envsoft.2010.10.007 10.1177/003754977502400606 10.5194/hess-11-1249-2007 10.1029/2008WR007347 10.1007/s10182-010-0147-9 10.1016/j.ress.2006.10.012 |
| ContentType | Journal Article |
| Copyright | 2011 Elsevier Ltd |
| Copyright_xml | – notice: 2011 Elsevier Ltd |
| DBID | FBQ AAYXX CITATION 7S9 L.6 |
| DOI | 10.1016/j.envsoft.2011.11.003 |
| DatabaseName | AGRIS CrossRef AGRICOLA AGRICOLA - Academic |
| DatabaseTitle | CrossRef AGRICOLA AGRICOLA - Academic |
| DatabaseTitleList | AGRICOLA |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering Ecology Computer Science Environmental Sciences |
| EISSN | 1873-6726 |
| EndPage | 4 |
| ExternalDocumentID | 10_1016_j_envsoft_2011_11_003 US201500200197 S1364815211002489 |
| GroupedDBID | --K --M -~X .DC .~1 0R~ 1B1 1RT 1~. 1~5 29G 4.4 457 4G. 53G 5GY 5VS 7-5 71M 8P~ AABNK AACTN AAEDT AAEDW AAHBH AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AAXKI AAXUO AAYFN AAYOK ABBOA ABFNM ABFYP ABJNI ABLST ABMAC ABXDB ACDAQ ACGFS ACIWK ACNNM ACRLP ACZNC ADBBV ADEZE ADJOM ADMUD AEBSH AEKER AENEX AFJKZ AFKWA AFRAH AFTJW AFXIZ AGHFR AGUBO AGYEJ AHEUO AHZHX AIALX AIEXJ AIKHN AITUG AJOXV AKIFW AKRWK ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AOUOD ASPBG AVWKF AXJTR AZFZN BKOJK BLECG BLXMC CS3 DU5 EBS EFJIC EJD EO8 EO9 EP2 EP3 FDB FEDTE FGOYB FIRID FNPLU FYGXN G-Q GBLVA GBOLZ HVGLF HZ~ IHE J1W KCYFY KOM M41 MO0 N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. Q38 R2- RIG ROL RPZ SDF SDG SDP SES SEW SPC SPCBC SSJ SSV SSZ T5K UHS ~02 ~G- AAIAV ABPIF ABPTK ABYKQ AJBFU FBQ 9DU AATTM AAYWO AAYXX ABWVN ACLOT ACRPL ACVFH ADCNI ADNMO AEIPS AEUPX AFPUW AGQPQ AIGII AIIUN AKBMS AKYEP ANKPU APXCP CITATION EFKBS EFLBG ~HD 7S9 L.6 |
| ID | FETCH-LOGICAL-c362t-9737165cbb1eabc014e18b6e3874b9040b116f6b48a912fc48eaa369dc29dcea3 |
| ISICitedReferencesCount | 83 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000303094300001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1364-8152 |
| IngestDate | Thu Oct 02 07:15:05 EDT 2025 Tue Nov 18 22:33:52 EST 2025 Sat Nov 29 02:36:14 EST 2025 Wed Dec 27 19:07:53 EST 2023 Thu Nov 14 02:16:24 EST 2024 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Sensitivity analysis Model reduction Dynamic emulation Metamodelling Emulation |
| Language | English |
| License | https://www.elsevier.com/tdm/userlicense/1.0 |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c362t-9737165cbb1eabc014e18b6e3874b9040b116f6b48a912fc48eaa369dc29dcea3 |
| Notes | http://dx.doi.org/10.1016/j.envsoft.2011.11.003 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| PQID | 1694493959 |
| PQPubID | 24069 |
| PageCount | 4 |
| ParticipantIDs | proquest_miscellaneous_1694493959 crossref_citationtrail_10_1016_j_envsoft_2011_11_003 crossref_primary_10_1016_j_envsoft_2011_11_003 fao_agris_US201500200197 elsevier_sciencedirect_doi_10_1016_j_envsoft_2011_11_003 |
| PublicationCentury | 2000 |
| PublicationDate | 2012-06-01 |
| PublicationDateYYYYMMDD | 2012-06-01 |
| PublicationDate_xml | – month: 06 year: 2012 text: 2012-06-01 day: 01 |
| PublicationDecade | 2010 |
| PublicationTitle | Environmental modelling & software : with environment data news |
| PublicationYear | 2012 |
| Publisher | Elsevier Ltd |
| Publisher_xml | – name: Elsevier Ltd |
| References | Young, Ratto (bib54) 2011; 53 Ciavatta, Lovato, Ratto, Pastres (bib12) 2009; 28 Saltelli, Annoni (bib36) 2010; 25 van Gigch (bib46) 1991 Young, Ratto (bib53) 2009; 23 Saltelli, Ratto, Tarantola, Campolongo (bib37) 2005; 105 Borgonovo, E., Tarantola, S. Advances in sensitivity analysis. Reliability Engineering and Systems Safety, (Submitted to Journal). Saltelli, Annoni, Azzini, Campolongo, Ratto, Tarantola (bib39) 2010; 181 Norton (bib25) 2007; 23 Higdon, Gattiker, Williams, Rightley (bib16) 2007 Young, Parkinson, Lees (bib56) 1996; 23 Pappenberger, Iorgulescu, Beven (bib27) 2006; 21 Castelletti, Galelli, Ratto, Soncini-Sessa, Young (bib10) 2012; 34 Vandenberghe, Ratto, Pappenberger (bib48) 2010; vol. 1 Gugercin, Athanasios (bib14) 2004; 77 OECD, 1993. OECD/NEA PSAG User Group, PSACOIN Level S Intercomparison. An International Code Intercomparison Exercise on a Hypothetical Safety Assessment Case Study for Radioactive Waste Disposal Systems, Technical Report, OECD. NEA, Paris. Santner, Williams, Notz (bib40) 2003 Villa-Vialaneix, Follador, Ratto, Leip (bib49) 2012; 34 Young (bib52) 1999; 117 Kleijnen (bib19) 1975; 5 Razavi, Tolson, Burn (bib33) 2012; 34 Bates, Kennett, Steinberg, Wynn (bib2) 2006; 3 Bayarri, Berger, Cafeo, Garcia-Donato, Liu, Palomo, Sacks, Parthasarathy, Paulo, Walsh (bib3) 2007; 35 Levy, Steinberg (bib22) 2010; 94 OECD, 1989. OECD/NEA PSAC User Group, PSACOIN Level E Intercomparison. An International Code Intercomparison Exercise on a Hypothetical Safety Assessment Case Study for Radioactive Waste Disposal Systems, Technical Report, OECD. NEA, Paris. Shahsavani, Grimvall (bib41) June 2011; 26 Annoni, Brüggemann, Saltelli (bib1) 2011; 26 Ramsay, Silverman (bib30) 2005 Campolongo, Cariboni, Saltelli (bib7) 2007; 22 Fang, Li, Sudjanto (bib13) 2006 Saltelli, Ratto, Andres, Campolongo, Cariboni, Gatelli, Saisana, Tarantola (bib38) 2008 Oakley, O'Hagan (bib26) 2004; 66 Pappenberger, Beven, Ratto, Matgen (bib29) 2008; 31 Campolongo, Saltelli, Cariboni (bib8) 2011; 182 Carnevale, Finzi, Guariso, Pisoni, Volta (bib9) 2012; 34 Ratto, Young, Romanowicz, Pappenberger, Saltelli, Pagano (bib32) 2007; 11 Makler-Pick, Gal, Gorfine, Hipsey, Carmel (bib24) 2011; 26 Castelletti, Galelli, Restelli, Soncini-Sessa (bib11) 2012; 34 Hall, Tarantola, Bates, Horritt (bib15) 2005; 131 Sacks, Welch, Mitchell, Wynn (bib35) 1989; 4 Bayarri, Berger, Steinberg (bib4) 2009; 51 Kasprzyk, Reed, Characklis, Kirsch (bib18) 2012; 34 Ratto, Pagano (bib31) 2010; 94 Young, Spear, Hornberger (bib55) 1978 Tych, Young (bib45) 2012; 34 Kuhnt, Steinberg (bib21) 2010; 94 Spear, Grieb, Shang (bib42) 1994; 30 Kleijnen (bib20) 2010 Blanning (bib5) 1975; 24 Yang (bib51) 2011; 26 Wagener, van Werkhoven, Reed, Tang (bib50) 2009; 45 Pappenberger, Matgen, Beven, Henry, Pfister, de Fraipont (bib28) 2006; 29 van Werkhoven, Wagener, Reed, Tang (bib47) 2009; 32 Tang, Reed, Wagener, van Werkhoven (bib44) 2007; 11 Hornberger, Spear (bib17) 1981; 7 Storlie, Helton (bib43) 2007; 93 Borgonovo, Castaings, Tarantola (bib6) 2012; 34 Liaw (bib23) 1986; 133 Yang (10.1016/j.envsoft.2011.11.003_bib51) 2011; 26 Makler-Pick (10.1016/j.envsoft.2011.11.003_bib24) 2011; 26 Hall (10.1016/j.envsoft.2011.11.003_bib15) 2005; 131 van Werkhoven (10.1016/j.envsoft.2011.11.003_bib47) 2009; 32 Young (10.1016/j.envsoft.2011.11.003_bib54) 2011; 53 Shahsavani (10.1016/j.envsoft.2011.11.003_bib41) 2011; 26 van Gigch (10.1016/j.envsoft.2011.11.003_bib46) 1991 Pappenberger (10.1016/j.envsoft.2011.11.003_bib29) 2008; 31 Young (10.1016/j.envsoft.2011.11.003_bib56) 1996; 23 Levy (10.1016/j.envsoft.2011.11.003_bib22) 2010; 94 Vandenberghe (10.1016/j.envsoft.2011.11.003_bib48) 2010; vol. 1 Tang (10.1016/j.envsoft.2011.11.003_bib44) 2007; 11 Wagener (10.1016/j.envsoft.2011.11.003_bib50) 2009; 45 Ratto (10.1016/j.envsoft.2011.11.003_bib31) 2010; 94 Ratto (10.1016/j.envsoft.2011.11.003_bib32) 2007; 11 Gugercin (10.1016/j.envsoft.2011.11.003_bib14) 2004; 77 Norton (10.1016/j.envsoft.2011.11.003_bib25) 2007; 23 Ramsay (10.1016/j.envsoft.2011.11.003_bib30) 2005 10.1016/j.envsoft.2011.11.003_bib57 10.1016/j.envsoft.2011.11.003_bib58 Liaw (10.1016/j.envsoft.2011.11.003_bib23) 1986; 133 Villa-Vialaneix (10.1016/j.envsoft.2011.11.003_bib49) 2012; 34 Campolongo (10.1016/j.envsoft.2011.11.003_bib7) 2007; 22 Blanning (10.1016/j.envsoft.2011.11.003_bib5) 1975; 24 Kasprzyk (10.1016/j.envsoft.2011.11.003_bib18) 2012; 34 Saltelli (10.1016/j.envsoft.2011.11.003_bib38) 2008 Saltelli (10.1016/j.envsoft.2011.11.003_bib39) 2010; 181 Young (10.1016/j.envsoft.2011.11.003_bib55) 1978 Fang (10.1016/j.envsoft.2011.11.003_bib13) 2006 Kleijnen (10.1016/j.envsoft.2011.11.003_bib20) 2010 Storlie (10.1016/j.envsoft.2011.11.003_bib43) 2007; 93 Pappenberger (10.1016/j.envsoft.2011.11.003_bib28) 2006; 29 Tych (10.1016/j.envsoft.2011.11.003_bib45) 2012; 34 Annoni (10.1016/j.envsoft.2011.11.003_bib1) 2011; 26 Spear (10.1016/j.envsoft.2011.11.003_bib42) 1994; 30 Campolongo (10.1016/j.envsoft.2011.11.003_bib8) 2011; 182 Pappenberger (10.1016/j.envsoft.2011.11.003_bib27) 2006; 21 Razavi (10.1016/j.envsoft.2011.11.003_bib33) 2012; 34 Saltelli (10.1016/j.envsoft.2011.11.003_bib37) 2005; 105 Castelletti (10.1016/j.envsoft.2011.11.003_bib11) 2012; 34 Hornberger (10.1016/j.envsoft.2011.11.003_bib17) 1981; 7 10.1016/j.envsoft.2011.11.003_bib34 Kuhnt (10.1016/j.envsoft.2011.11.003_bib21) 2010; 94 Oakley (10.1016/j.envsoft.2011.11.003_bib26) 2004; 66 Borgonovo (10.1016/j.envsoft.2011.11.003_bib6) 2012; 34 Bates (10.1016/j.envsoft.2011.11.003_bib2) 2006; 3 Bayarri (10.1016/j.envsoft.2011.11.003_bib3) 2007; 35 Young (10.1016/j.envsoft.2011.11.003_bib53) 2009; 23 Carnevale (10.1016/j.envsoft.2011.11.003_bib9) 2012; 34 Sacks (10.1016/j.envsoft.2011.11.003_bib35) 1989; 4 Bayarri (10.1016/j.envsoft.2011.11.003_bib4) 2009; 51 Higdon (10.1016/j.envsoft.2011.11.003_bib16) 2007 Young (10.1016/j.envsoft.2011.11.003_bib52) 1999; 117 Santner (10.1016/j.envsoft.2011.11.003_bib40) 2003 Saltelli (10.1016/j.envsoft.2011.11.003_bib36) 2010; 25 Castelletti (10.1016/j.envsoft.2011.11.003_bib10) 2012; 34 Ciavatta (10.1016/j.envsoft.2011.11.003_bib12) 2009; 28 Kleijnen (10.1016/j.envsoft.2011.11.003_bib19) 1975; 5 |
| References_xml | – volume: 34 start-page: 30 year: 2012 end-page: 43 ident: bib11 article-title: Data-driven dynamic emulation modelling for the optimal management of environmental systems publication-title: Environmental Modelling & Software – volume: 94 start-page: 367 year: 2010 end-page: 388 ident: bib31 article-title: Recursive algorithms for efficient identification of smoothing spline ANOVA models publication-title: Advances in Statistical Analysis – volume: 25 start-page: 1508 year: 2010 end-page: 1517 ident: bib36 article-title: How to avoid a perfunctory sensitivity analysis publication-title: Environmental Modelling & Software – year: 2005 ident: bib30 article-title: Functional Data Analysis – volume: 51 start-page: 353 year: 2009 ident: bib4 article-title: Special issue on computer modeling publication-title: Technometrics – volume: 11 start-page: 1249 year: 2007 end-page: 1266 ident: bib32 article-title: Uncertainty, sensitivity analysis and the role of data based mechanistic modelling in hydrology publication-title: Hydrology and Earth System Sciences (HESS), European Geophysical Union – volume: 11 start-page: 793 year: 2007 end-page: 817 ident: bib44 article-title: Comparing sensitivity analysis methods to advance lumped watershed model identification and evaluation publication-title: Hydrology and Earth System Sciences – volume: 32 start-page: 1154 year: 2009 end-page: 1169 ident: bib47 article-title: Sensitivity-guided reduction of parametric calibration of watershed models publication-title: Advances in Water Resources – volume: 23 start-page: 1037 year: 2009 end-page: 1057 ident: bib53 article-title: A unified approach to environmental systems modeling publication-title: Stochastic Environmental Research and Risk Assessment – volume: 94 start-page: 307 year: 2010 end-page: 309 ident: bib21 article-title: Design and analysis of computer experiments: editorial publication-title: Advances in Statistical Analysis – volume: vol. 1 year: 2010 ident: bib48 publication-title: Modelling Aspects of Water Framework Directive Implementation – volume: 24 start-page: 177 year: 1975 end-page: 184 ident: bib5 article-title: The construction and implementation of metamodels publication-title: Simulation – volume: 77 start-page: 748 year: 2004 end-page: 766 ident: bib14 article-title: A survey of model reduction by balanced truncation and some new results publication-title: International Journal of Control – volume: 181 start-page: 259 year: 2010 end-page: 270 ident: bib39 article-title: Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index publication-title: Computer Physics Communications – year: 2007 ident: bib16 article-title: Computer model validation using high-dimensional outputs publication-title: Bayesian Statistics 8 – year: 1978 ident: bib55 article-title: Modeling badly defined systems: some further thoughts publication-title: Proceedings SIMSIG Conference – volume: 66 start-page: 751 year: 2004 end-page: 769 ident: bib26 article-title: Probabilistic sensitivity analysis of complex models: a Bayesian approach publication-title: Journal of the Royal Statistical Society: Series B – volume: 21 start-page: 976 year: 2006 end-page: 990 ident: bib27 article-title: Sensitivity analysis based on regional splits and regression trees (SARS-RT) publication-title: Environmental Modelling & Software – volume: 34 start-page: 105 year: 2012 end-page: 115 ident: bib6 article-title: Model emulation and moment-independent sensitivity analysis: an application to environmental modelling publication-title: Environmental Modelling & Software – reference: OECD, 1989. OECD/NEA PSAC User Group, PSACOIN Level E Intercomparison. An International Code Intercomparison Exercise on a Hypothetical Safety Assessment Case Study for Radioactive Waste Disposal Systems, Technical Report, OECD. NEA, Paris. – volume: 4 start-page: 409 year: 1989 end-page: 435 ident: bib35 article-title: Design and analysis of computer experiments publication-title: Statistical Science – volume: 182 start-page: 978 year: 2011 end-page: 988 ident: bib8 article-title: From screening to quantitative sensitivity analysis. A unified approach publication-title: Computer Physics Communications – volume: 34 start-page: 5 year: 2012 end-page: 18 ident: bib10 article-title: A general framework for Dynamic Emulation Modelling (DEMo) in environmental problems publication-title: Environmental Modelling & Software – year: 2003 ident: bib40 article-title: The Design and Analysis of Computer Experiments – volume: 26 start-page: 124 year: 2011 end-page: 134 ident: bib24 article-title: Sensitivity analysis for complex ecological models - a new approach publication-title: Environmental Modelling & Software – volume: 133 start-page: 30 year: 1986 end-page: 34 ident: bib23 article-title: Model reduction of discrete systems using the power decomposition method publication-title: Proceedings of the Institution of Electrical Engineers – volume: 35 start-page: 1874 year: 2007 end-page: 1906 ident: bib3 article-title: Computer model validation with functional output publication-title: The Annals of Statistics – volume: 34 start-page: 51 year: 2012 end-page: 66 ident: bib49 article-title: A comparison of eight metamodeling techniques for the simulation of N2O fluxes and N leaching from corn crops publication-title: Environmental Modelling & Software – year: 1991 ident: bib46 article-title: System Design Modeling and Metamodeling – volume: 105 start-page: 2811 year: 2005 end-page: 2828 ident: bib37 article-title: Sensitivity analysis for chemical models publication-title: Chemical Reviews – volume: 23 start-page: 165 year: 1996 end-page: 210 ident: bib56 article-title: Simplicity out of complexity: Occam's razor revisited publication-title: Journal of Applied Statistics – volume: 22 start-page: 1509 year: 2007 end-page: 1518 ident: bib7 article-title: An effective screening design for sensitivity analysis of large models publication-title: Environmental Modelling & Software – volume: 29 start-page: 1430 year: 2006 end-page: 1449 ident: bib28 article-title: Influence of uncertain boundary conditions and model structure on flood inundation predictions publication-title: Advances in Water Resources – volume: 31 start-page: 1 year: 2008 end-page: 14 ident: bib29 article-title: Multi-method global sensitivity analysis of flood inundation models publication-title: Advances in Water Resources – volume: 117 start-page: 113 year: 1999 end-page: 129 ident: bib52 article-title: Data-based mechanistic modelling, generalised sensitivity and dominant mode analysis publication-title: Computer Physics Communications – year: 2010 ident: bib20 article-title: Design and Analysis of Simulation Experiments – reference: OECD, 1993. OECD/NEA PSAG User Group, PSACOIN Level S Intercomparison. An International Code Intercomparison Exercise on a Hypothetical Safety Assessment Case Study for Radioactive Waste Disposal Systems, Technical Report, OECD. NEA, Paris. – volume: 7 start-page: 7 year: 1981 end-page: 18 ident: bib17 article-title: An approach to the preliminary analysis of environmental systems publication-title: Journal of Environmental Management – volume: 30 start-page: 3159 year: 1994 end-page: 3169 ident: bib42 article-title: Factor uncertainty and interaction in complex environmental models publication-title: Water Resources Research – volume: 53 start-page: 29 year: 2011 end-page: 43 ident: bib54 article-title: Statistical emulation of large linear dynamic models publication-title: Technometrics – volume: 23 start-page: 963 year: 2007 end-page: 972 ident: bib25 article-title: Algebraic sensitivity analysis of environmental models publication-title: Environmental Modelling & Software – volume: 26 start-page: 723 year: June 2011 end-page: 730 ident: bib41 article-title: Variance-based sensitivity analysis of model outputs using surrogate models publication-title: Environmental Modelling & Software – volume: 45 start-page: 1126 year: 2009 ident: bib50 article-title: Multiobjective sensitivity analysis to understand the information content in streamflow observations for distributed watershed modeling publication-title: Water Resources Research – volume: 93 start-page: 28 year: 2007 end-page: 54 ident: bib43 article-title: Multiple predictor smoothing methods for sensitivity analysis: description of techniques publication-title: Reliability Engineering & System Safety – volume: 28 start-page: 718 year: 2009 end-page: 732 ident: bib12 article-title: Global uncertainty and sensitivity analysis of a food-web bioaccumulation model publication-title: Environmental Toxicology and Chemistry – volume: 26 start-page: 950 year: 2011 end-page: 958 ident: bib1 article-title: Partial order investigation of multiple indicator systems using variance-based sensitivity analysis publication-title: Environmental Modelling & Software – volume: 34 start-page: 44 year: 2012 end-page: 50 ident: bib9 article-title: Surrogate models to compute optimal air quality planning policies at a regional scale publication-title: Environmental Modelling & Software – volume: 5 start-page: 21 year: 1975 end-page: 23 ident: bib19 article-title: A comment on Blanning's “metamodel for sensitivity analysis: the regression metamodel in simulation” publication-title: Interfaces – volume: 3 start-page: 161 year: 2006 end-page: 177 ident: bib2 article-title: Achieving robust design from computer simulations publication-title: Quality Technology and Quantitative Management – year: 2006 ident: bib13 article-title: Design and Modeling for Computer Experiments – year: 2008 ident: bib38 article-title: Global Sensitivity Analysis. The Primer – volume: 34 start-page: 87 year: 2012 end-page: 104 ident: bib18 article-title: Many-objective de Novo water supply portfolio planning under deep uncertainty publication-title: Environmental Modelling & Software – volume: 34 start-page: 19 year: 2012 end-page: 29 ident: bib45 article-title: A matlab software framework for dynamic model emulation publication-title: Environmental Modelling & Software – volume: 34 start-page: 67 year: 2012 end-page: 86 ident: bib33 article-title: Numerical assessment of metamodelling strategies in computationally intensive optimization publication-title: Environmental Modelling & Software – reference: Borgonovo, E., Tarantola, S. Advances in sensitivity analysis. Reliability Engineering and Systems Safety, (Submitted to Journal). – volume: 131 start-page: 117 year: 2005 end-page: 126 ident: bib15 article-title: Distributed sensitivity analysis of flood inundation model calibration publication-title: Journal of Hydraulic Engineering – volume: 26 start-page: 444 year: 2011 end-page: 457 ident: bib51 article-title: Convergence and uncertainty analyses in Monte-Carlo based sensitivity analysis publication-title: Environmental Modelling & Software – volume: 94 start-page: 311 year: 2010 end-page: 324 ident: bib22 article-title: Computer experiments: a review publication-title: Advances in Statistical Analysis – volume: 23 start-page: 963 issue: 8 year: 2007 ident: 10.1016/j.envsoft.2011.11.003_bib25 article-title: Algebraic sensitivity analysis of environmental models publication-title: Environmental Modelling & Software doi: 10.1016/j.envsoft.2007.11.007 – volume: 34 start-page: 67 year: 2012 ident: 10.1016/j.envsoft.2011.11.003_bib33 article-title: Numerical assessment of metamodelling strategies in computationally intensive optimization publication-title: Environmental Modelling & Software doi: 10.1016/j.envsoft.2011.09.010 – volume: 5 start-page: 21 year: 1975 ident: 10.1016/j.envsoft.2011.11.003_bib19 article-title: A comment on Blanning's “metamodel for sensitivity analysis: the regression metamodel in simulation” publication-title: Interfaces doi: 10.1287/inte.5.3.21 – volume: 34 start-page: 87 year: 2012 ident: 10.1016/j.envsoft.2011.11.003_bib18 article-title: Many-objective de Novo water supply portfolio planning under deep uncertainty publication-title: Environmental Modelling & Software doi: 10.1016/j.envsoft.2011.04.003 – volume: 53 start-page: 29 issue: 1 year: 2011 ident: 10.1016/j.envsoft.2011.11.003_bib54 article-title: Statistical emulation of large linear dynamic models publication-title: Technometrics doi: 10.1198/TECH.2010.07151 – volume: 77 start-page: 748 year: 2004 ident: 10.1016/j.envsoft.2011.11.003_bib14 article-title: A survey of model reduction by balanced truncation and some new results publication-title: International Journal of Control doi: 10.1080/00207170410001713448 – volume: 94 start-page: 307 year: 2010 ident: 10.1016/j.envsoft.2011.11.003_bib21 article-title: Design and analysis of computer experiments: editorial publication-title: Advances in Statistical Analysis doi: 10.1007/s10182-010-0143-0 – volume: 181 start-page: 259 year: 2010 ident: 10.1016/j.envsoft.2011.11.003_bib39 article-title: Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index publication-title: Computer Physics Communications doi: 10.1016/j.cpc.2009.09.018 – ident: 10.1016/j.envsoft.2011.11.003_bib34 – year: 2005 ident: 10.1016/j.envsoft.2011.11.003_bib30 – volume: vol. 1 year: 2010 ident: 10.1016/j.envsoft.2011.11.003_bib48 – volume: 11 start-page: 793 year: 2007 ident: 10.1016/j.envsoft.2011.11.003_bib44 article-title: Comparing sensitivity analysis methods to advance lumped watershed model identification and evaluation publication-title: Hydrology and Earth System Sciences doi: 10.5194/hess-11-793-2007 – year: 1991 ident: 10.1016/j.envsoft.2011.11.003_bib46 – volume: 25 start-page: 1508 year: 2010 ident: 10.1016/j.envsoft.2011.11.003_bib36 article-title: How to avoid a perfunctory sensitivity analysis publication-title: Environmental Modelling & Software doi: 10.1016/j.envsoft.2010.04.012 – volume: 34 start-page: 30 year: 2012 ident: 10.1016/j.envsoft.2011.11.003_bib11 article-title: Data-driven dynamic emulation modelling for the optimal management of environmental systems publication-title: Environmental Modelling & Software doi: 10.1016/j.envsoft.2011.09.003 – ident: 10.1016/j.envsoft.2011.11.003_bib57 – year: 2006 ident: 10.1016/j.envsoft.2011.11.003_bib13 – volume: 31 start-page: 1 issue: 1 year: 2008 ident: 10.1016/j.envsoft.2011.11.003_bib29 article-title: Multi-method global sensitivity analysis of flood inundation models publication-title: Advances in Water Resources doi: 10.1016/j.advwatres.2007.04.009 – volume: 94 start-page: 367 year: 2010 ident: 10.1016/j.envsoft.2011.11.003_bib31 article-title: Recursive algorithms for efficient identification of smoothing spline ANOVA models publication-title: Advances in Statistical Analysis doi: 10.1007/s10182-010-0148-8 – volume: 131 start-page: 117 year: 2005 ident: 10.1016/j.envsoft.2011.11.003_bib15 article-title: Distributed sensitivity analysis of flood inundation model calibration publication-title: Journal of Hydraulic Engineering doi: 10.1061/(ASCE)0733-9429(2005)131:2(117) – volume: 26 start-page: 950 year: 2011 ident: 10.1016/j.envsoft.2011.11.003_bib1 article-title: Partial order investigation of multiple indicator systems using variance-based sensitivity analysis publication-title: Environmental Modelling & Software doi: 10.1016/j.envsoft.2011.01.008 – volume: 4 start-page: 409 year: 1989 ident: 10.1016/j.envsoft.2011.11.003_bib35 article-title: Design and analysis of computer experiments publication-title: Statistical Science doi: 10.1214/ss/1177012413 – volume: 105 start-page: 2811 year: 2005 ident: 10.1016/j.envsoft.2011.11.003_bib37 article-title: Sensitivity analysis for chemical models publication-title: Chemical Reviews doi: 10.1021/cr040659d – volume: 26 start-page: 723 issue: 6 year: 2011 ident: 10.1016/j.envsoft.2011.11.003_bib41 article-title: Variance-based sensitivity analysis of model outputs using surrogate models publication-title: Environmental Modelling & Software doi: 10.1016/j.envsoft.2011.01.002 – volume: 7 start-page: 7 year: 1981 ident: 10.1016/j.envsoft.2011.11.003_bib17 article-title: An approach to the preliminary analysis of environmental systems publication-title: Journal of Environmental Management – year: 2003 ident: 10.1016/j.envsoft.2011.11.003_bib40 – volume: 26 start-page: 124 year: 2011 ident: 10.1016/j.envsoft.2011.11.003_bib24 article-title: Sensitivity analysis for complex ecological models - a new approach publication-title: Environmental Modelling & Software doi: 10.1016/j.envsoft.2010.06.010 – volume: 22 start-page: 1509 issue: 10 year: 2007 ident: 10.1016/j.envsoft.2011.11.003_bib7 article-title: An effective screening design for sensitivity analysis of large models publication-title: Environmental Modelling & Software doi: 10.1016/j.envsoft.2006.10.004 – volume: 34 start-page: 5 year: 2012 ident: 10.1016/j.envsoft.2011.11.003_bib10 article-title: A general framework for Dynamic Emulation Modelling (DEMo) in environmental problems publication-title: Environmental Modelling & Software doi: 10.1016/j.envsoft.2012.01.002 – volume: 66 start-page: 751 year: 2004 ident: 10.1016/j.envsoft.2011.11.003_bib26 article-title: Probabilistic sensitivity analysis of complex models: a Bayesian approach publication-title: Journal of the Royal Statistical Society: Series B doi: 10.1111/j.1467-9868.2004.05304.x – volume: 23 start-page: 165 year: 1996 ident: 10.1016/j.envsoft.2011.11.003_bib56 article-title: Simplicity out of complexity: Occam's razor revisited publication-title: Journal of Applied Statistics doi: 10.1080/02664769624206 – volume: 182 start-page: 978 year: 2011 ident: 10.1016/j.envsoft.2011.11.003_bib8 article-title: From screening to quantitative sensitivity analysis. A unified approach publication-title: Computer Physics Communications doi: 10.1016/j.cpc.2010.12.039 – volume: 117 start-page: 113 year: 1999 ident: 10.1016/j.envsoft.2011.11.003_bib52 article-title: Data-based mechanistic modelling, generalised sensitivity and dominant mode analysis publication-title: Computer Physics Communications doi: 10.1016/S0010-4655(98)00168-4 – volume: 23 start-page: 1037 year: 2009 ident: 10.1016/j.envsoft.2011.11.003_bib53 article-title: A unified approach to environmental systems modeling publication-title: Stochastic Environmental Research and Risk Assessment doi: 10.1007/s00477-008-0271-1 – volume: 30 start-page: 3159 year: 1994 ident: 10.1016/j.envsoft.2011.11.003_bib42 article-title: Factor uncertainty and interaction in complex environmental models publication-title: Water Resources Research doi: 10.1029/94WR01732 – year: 2008 ident: 10.1016/j.envsoft.2011.11.003_bib38 – volume: 34 start-page: 51 year: 2012 ident: 10.1016/j.envsoft.2011.11.003_bib49 article-title: A comparison of eight metamodeling techniques for the simulation of N2O fluxes and N leaching from corn crops publication-title: Environmental Modelling & Software doi: 10.1016/j.envsoft.2011.05.003 – volume: 29 start-page: 1430 year: 2006 ident: 10.1016/j.envsoft.2011.11.003_bib28 article-title: Influence of uncertain boundary conditions and model structure on flood inundation predictions publication-title: Advances in Water Resources doi: 10.1016/j.advwatres.2005.11.012 – volume: 28 start-page: 718 issue: 4 year: 2009 ident: 10.1016/j.envsoft.2011.11.003_bib12 article-title: Global uncertainty and sensitivity analysis of a food-web bioaccumulation model publication-title: Environmental Toxicology and Chemistry doi: 10.1897/08-102R.1 – volume: 34 start-page: 19 year: 2012 ident: 10.1016/j.envsoft.2011.11.003_bib45 article-title: A matlab software framework for dynamic model emulation publication-title: Environmental Modelling & Software doi: 10.1016/j.envsoft.2011.08.008 – volume: 21 start-page: 976 issue: 7 year: 2006 ident: 10.1016/j.envsoft.2011.11.003_bib27 article-title: Sensitivity analysis based on regional splits and regression trees (SARS-RT) publication-title: Environmental Modelling & Software doi: 10.1016/j.envsoft.2005.04.010 – volume: 35 start-page: 1874 year: 2007 ident: 10.1016/j.envsoft.2011.11.003_bib3 article-title: Computer model validation with functional output publication-title: The Annals of Statistics doi: 10.1214/009053607000000163 – volume: 32 start-page: 1154 issue: 8 year: 2009 ident: 10.1016/j.envsoft.2011.11.003_bib47 article-title: Sensitivity-guided reduction of parametric calibration of watershed models publication-title: Advances in Water Resources doi: 10.1016/j.advwatres.2009.03.002 – volume: 34 start-page: 105 year: 2012 ident: 10.1016/j.envsoft.2011.11.003_bib6 article-title: Model emulation and moment-independent sensitivity analysis: an application to environmental modelling publication-title: Environmental Modelling & Software doi: 10.1016/j.envsoft.2011.06.006 – volume: 3 start-page: 161 year: 2006 ident: 10.1016/j.envsoft.2011.11.003_bib2 article-title: Achieving robust design from computer simulations publication-title: Quality Technology and Quantitative Management doi: 10.1080/16843703.2006.11673107 – volume: 51 start-page: 353 year: 2009 ident: 10.1016/j.envsoft.2011.11.003_bib4 article-title: Special issue on computer modeling publication-title: Technometrics doi: 10.1198/TECH.2009.514INTRO – volume: 34 start-page: 44 year: 2012 ident: 10.1016/j.envsoft.2011.11.003_bib9 article-title: Surrogate models to compute optimal air quality planning policies at a regional scale publication-title: Environmental Modelling & Software doi: 10.1016/j.envsoft.2011.04.007 – volume: 26 start-page: 444 year: 2011 ident: 10.1016/j.envsoft.2011.11.003_bib51 article-title: Convergence and uncertainty analyses in Monte-Carlo based sensitivity analysis publication-title: Environmental Modelling & Software doi: 10.1016/j.envsoft.2010.10.007 – year: 2010 ident: 10.1016/j.envsoft.2011.11.003_bib20 – ident: 10.1016/j.envsoft.2011.11.003_bib58 – volume: 24 start-page: 177 year: 1975 ident: 10.1016/j.envsoft.2011.11.003_bib5 article-title: The construction and implementation of metamodels publication-title: Simulation doi: 10.1177/003754977502400606 – volume: 11 start-page: 1249 year: 2007 ident: 10.1016/j.envsoft.2011.11.003_bib32 article-title: Uncertainty, sensitivity analysis and the role of data based mechanistic modelling in hydrology publication-title: Hydrology and Earth System Sciences (HESS), European Geophysical Union doi: 10.5194/hess-11-1249-2007 – year: 2007 ident: 10.1016/j.envsoft.2011.11.003_bib16 article-title: Computer model validation using high-dimensional outputs – volume: 45 start-page: 1126 year: 2009 ident: 10.1016/j.envsoft.2011.11.003_bib50 article-title: Multiobjective sensitivity analysis to understand the information content in streamflow observations for distributed watershed modeling publication-title: Water Resources Research doi: 10.1029/2008WR007347 – volume: 133 start-page: 30 year: 1986 ident: 10.1016/j.envsoft.2011.11.003_bib23 article-title: Model reduction of discrete systems using the power decomposition method publication-title: Proceedings of the Institution of Electrical Engineers – volume: 94 start-page: 311 year: 2010 ident: 10.1016/j.envsoft.2011.11.003_bib22 article-title: Computer experiments: a review publication-title: Advances in Statistical Analysis doi: 10.1007/s10182-010-0147-9 – year: 1978 ident: 10.1016/j.envsoft.2011.11.003_bib55 article-title: Modeling badly defined systems: some further thoughts – volume: 93 start-page: 28 year: 2007 ident: 10.1016/j.envsoft.2011.11.003_bib43 article-title: Multiple predictor smoothing methods for sensitivity analysis: description of techniques publication-title: Reliability Engineering & System Safety doi: 10.1016/j.ress.2006.10.012 |
| SSID | ssj0001524 |
| Score | 2.3243184 |
| Snippet | Emulation (also denoted as metamodelling in the literature) is an important and expanding area of research and represents one of the major advances in the... |
| SourceID | proquest crossref fao elsevier |
| SourceType | Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 1 |
| SubjectTerms | complement computer software decision making decision support systems Dynamic emulation Emulation environmental models mathematical models Metamodelling Model reduction planning Sensitivity analysis simulation models |
| Title | Emulation techniques for the reduction and sensitivity analysis of complex environmental models |
| URI | https://dx.doi.org/10.1016/j.envsoft.2011.11.003 https://www.proquest.com/docview/1694493959 |
| Volume | 34 |
| WOSCitedRecordID | wos000303094300001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVESC databaseName: Elsevier SD Freedom Collection Journals 2021 customDbUrl: eissn: 1873-6726 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001524 issn: 1364-8152 databaseCode: AIEXJ dateStart: 19970101 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3db9MwELdKBxI88FGYNr5kJN6qjCZ2YvtxQkWA0DTBJvXNchxn2lSSaclG-XP4TzkndpJug7EHHmpVbmPZvV995_Pv7hB6S7KQGh5HAaUsg4YmgYiMCGa5SFWaCZLnTaDwF7a3xxcLsT8a_fKxMBdLVhR8tRKn_1XU0AfCtqGztxB3Nyh0wHsQOrQgdmj_SfDz764i17TLz1r1ZEKbqbX2FOTKstdd-Qg1yE7S8MzNahgFZ4NMbNGcas2Vf_XzZet6SKYV7O8_LK3M-hwab-9gtKklpk6HFv1XVTcFnWzwkC77m5GqiXKpW9JBw77s9Mi-OlJFeanfOTAsE8QTrdyeSxIa8DBe25Sdh7PdVcOBeqbX7vutC-JkB1Zil9emZrXZWWekV3T-cv-S_utYiZ7wdiLdMNIOA2ck2eST3YhYLPgYbex-mi8-d-oeJt5WTnar6MPE3l07nz8ZQHdyVV4xCBor5-AxeuiOJ3i3hdUTNDLFBD3ypT-w0wQTdG_eZDv_OUEPBhktJ2hzDRL--9VTJDtY4h6WGGCJAZa4gyUGWOIBLLGHJS5z7GCJ12CJW1g-Q4cf5gfvPwauuEegwWaqA8EIHNVjnaahUamGk7oJeZoYwhlNBaiWNAyTPEkpVyKMck25UYokItMRvIwim2hclIXZQtgQRkWWxyoGg5OlWjBtNMnAFOYZHPfZNqL-F5faZb63BViW8q8S30Y73WOnbeqXmx7gXpzS2a-tXSoBpjc9ugXil-oINLs8_BZZP-TM0h0FzP6Nx4SErd_e56nClOeVDBNBqSAiFs9vO9UX6H7_V3yJxvXZuXmF7uqL-rg6e-0g_hutyNoB |
| linkProvider | Elsevier |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Emulation+techniques+for+the+reduction+and+sensitivity+analysis+of+complex+environmental+models&rft.jtitle=Environmental+modelling+%26+software+%3A+with+environment+data+news&rft.au=Ratto%2C+Marco&rft.au=Castelletti%2C+Andrea&rft.au=Pagano%2C+Andrea&rft.date=2012-06-01&rft.issn=1364-8152&rft.volume=34&rft.spage=1&rft.epage=4&rft_id=info:doi/10.1016%2Fj.envsoft.2011.11.003&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_envsoft_2011_11_003 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1364-8152&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1364-8152&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1364-8152&client=summon |