Incremental Development of Air Quality Forecasting System with Off-Line/On-Line Capability: Coupling CMAQ to NCEP National Mesoscale Model View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2011

AUTHORS

Pius Lee , Fantine Ngan , Hyuncheol Kim , Daniel Tong , Youhua Tang , Tianfeng Chai , Rick Saylor , Ariel Stein , Daewon Byun , Marina Tsidulko , Jeff McQueen , Ivanka Stajner

ABSTRACT

The National Air Quality Forecast Capability (NAQFC) is based on the EPA Community Multiscale Air Quality (CMAQ) model driven by meteorological data from the NOAA North American Mesoscale (NAM) Non-hydrostatic Meso-scale Model (NMM). Currently, NMM meteorological data on Arakawa E-grid are interpolated on a CMAQ’s Arakawa C-grid using the processors PRODGEN and PREMAQ to handle map-projection transform, vertical layer collapsing, and other emission and meteorological data feed issues. The FY11 pre-implementation version of NAM has undergone significant changes in the vertical layering, horizontal grid projection and improved science components for its FY11 upcoming major upgrade release. This provides an opportunity to improve the coupling methodology between NMM and CMAQ that reduces uncertainties both in the meteorological and emission inputs for the off-line air quality modeling and helps development of on-line NMM-CMAQ version. Three major tasks are needed to achieve a tighter coupling between them: (1) Adapt to NAM’s vertical hybrid pressure and grid structure; (2) Change CMAQ to use the same rotated latitude longitude B staggered horizontal grid structure as NAM, (3) Modify emission model to provide generic inputs for the B staggered grid and hybrid vertical structure of NAM. The first task achieves consistent matching of dynamics between the two systems, despite the possible necessity of layer-collapsing to fit within operational time-lines. The second task removes unnecessary interpolation of meteorology data for air quality simulations. The third task involves modification of the U.S. EPA Sparse Matrix Object Kernel Emission (SMOKE) model to handle the staggered B grid. At this time only the first of these three steps has been accomplished, and the test result from this test focusing on the selected test period has been compared to that produced by the operational NAQFC. Further work with all these three modifications concurrently in place is underway. More... »

PAGES

187-192

References to SciGraph publications

  • 2003-01. A nonhydrostatic model based on a new approach in METEOROLOGY AND ATMOSPHERIC PHYSICS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-94-007-1359-8_32

    DOI

    http://dx.doi.org/10.1007/978-94-007-1359-8_32

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1009664418


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0907", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Environmental Engineering", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Engineering", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Office of Oceanic and Atmospheric Research", 
              "id": "https://www.grid.ac/institutes/grid.423025.2", 
              "name": [
                "Department Air Resources Laboratory, Office of Oceanic and Atmospheric Research, National Oceanic and Atmospheric Administration USA, 1315 East-West Highway, SSMC3-Room 3316, Silver Spring, 20910, MD, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lee", 
            "givenName": "Pius", 
            "id": "sg:person.011172205461.41", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011172205461.41"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University Corporation for Atmospheric Research", 
              "id": "https://www.grid.ac/institutes/grid.413455.2", 
              "name": [
                "University Corporation for Atmospheric research, Boulder, CO, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ngan", 
            "givenName": "Fantine", 
            "id": "sg:person.016367427205.12", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016367427205.12"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Earth Resources Technology (United States)", 
              "id": "https://www.grid.ac/institutes/grid.486861.5", 
              "name": [
                "Earth Resources Technology, Annapolis Junction, MD, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kim", 
            "givenName": "Hyuncheol", 
            "id": "sg:person.014773535643.61", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014773535643.61"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Earth Resources Technology (United States)", 
              "id": "https://www.grid.ac/institutes/grid.486861.5", 
              "name": [
                "Earth Resources Technology, Annapolis Junction, MD, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Tong", 
            "givenName": "Daniel", 
            "id": "sg:person.014407601717.72", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014407601717.72"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "IMSG Corp., Silver Spring, MD\u00a020190, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Tang", 
            "givenName": "Youhua", 
            "id": "sg:person.0627771450.31", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0627771450.31"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Earth Resources Technology (United States)", 
              "id": "https://www.grid.ac/institutes/grid.486861.5", 
              "name": [
                "Earth Resources Technology, Annapolis Junction, MD, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Chai", 
            "givenName": "Tianfeng", 
            "id": "sg:person.01266715036.14", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01266715036.14"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Office of Oceanic and Atmospheric Research", 
              "id": "https://www.grid.ac/institutes/grid.423025.2", 
              "name": [
                "Department Air Resources Laboratory, Office of Oceanic and Atmospheric Research, National Oceanic and Atmospheric Administration USA, 1315 East-West Highway, SSMC3-Room 3316, Silver Spring, 20910, MD, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Saylor", 
            "givenName": "Rick", 
            "id": "sg:person.012347717633.13", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012347717633.13"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Earth Resources Technology (United States)", 
              "id": "https://www.grid.ac/institutes/grid.486861.5", 
              "name": [
                "Earth Resources Technology, Annapolis Junction, MD, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Stein", 
            "givenName": "Ariel", 
            "id": "sg:person.015355577205.15", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015355577205.15"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Office of Oceanic and Atmospheric Research", 
              "id": "https://www.grid.ac/institutes/grid.423025.2", 
              "name": [
                "Department Air Resources Laboratory, Office of Oceanic and Atmospheric Research, National Oceanic and Atmospheric Administration USA, 1315 East-West Highway, SSMC3-Room 3316, Silver Spring, 20910, MD, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Byun", 
            "givenName": "Daewon", 
            "id": "sg:person.015153343207.03", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015153343207.03"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "IMSG Corp., Silver Spring, MD\u00a020190, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Tsidulko", 
            "givenName": "Marina", 
            "id": "sg:person.013364650667.30", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013364650667.30"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "National Centers for Environmental Prediction", 
              "id": "https://www.grid.ac/institutes/grid.473673.2", 
              "name": [
                "Environmental Modeling Center, National Centers for Environmental Prediction, Camp Springs, MD, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "McQueen", 
            "givenName": "Jeff", 
            "id": "sg:person.012541026447.61", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012541026447.61"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Noblis", 
              "id": "https://www.grid.ac/institutes/grid.427180.8", 
              "name": [
                "Noblis Inc., Fairfax, VA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Stajner", 
            "givenName": "Ivanka", 
            "id": "sg:person.07364320471.66", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07364320471.66"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1175/waf855.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010757100"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00703-001-0587-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026846482", 
              "https://doi.org/10.1007/s00703-001-0587-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s1352-2310(01)00183-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052921618"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1115/1.2128636", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062077095"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1115/1.2128636", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062077095"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2011", 
        "datePublishedReg": "2011-01-01", 
        "description": "The National Air Quality Forecast Capability (NAQFC) is based on the EPA Community Multiscale Air Quality (CMAQ) model driven by meteorological data from the NOAA North American Mesoscale (NAM) Non-hydrostatic Meso-scale Model (NMM). Currently, NMM meteorological data on Arakawa E-grid are interpolated on a CMAQ\u2019s Arakawa C-grid using the processors PRODGEN and PREMAQ to handle map-projection transform, vertical layer collapsing, and other emission and meteorological data feed issues. The FY11 pre-implementation version of NAM has undergone significant changes in the vertical layering, horizontal grid projection and improved science components for its FY11 upcoming major upgrade release. This provides an opportunity to improve the coupling methodology between NMM and CMAQ that reduces uncertainties both in the meteorological and emission inputs for the off-line air quality modeling and helps development of on-line NMM-CMAQ version. Three major tasks are needed to achieve a tighter coupling between them: (1) Adapt to NAM\u2019s vertical hybrid pressure and grid structure; (2) Change CMAQ to use the same rotated latitude longitude B staggered horizontal grid structure as NAM, (3) Modify emission model to provide generic inputs for the B staggered grid and hybrid vertical structure of NAM. The first task achieves consistent matching of dynamics between the two systems, despite the possible necessity of layer-collapsing to fit within operational time-lines. The second task removes unnecessary interpolation of meteorology data for air quality simulations. The third task involves modification of the U.S. EPA Sparse Matrix Object Kernel Emission (SMOKE) model to handle the staggered B grid. At this time only the first of these three steps has been accomplished, and the test result from this test focusing on the selected test period has been compared to that produced by the operational NAQFC. Further work with all these three modifications concurrently in place is underway.", 
        "editor": [
          {
            "familyName": "Steyn", 
            "givenName": "Douw G.", 
            "type": "Person"
          }, 
          {
            "familyName": "Trini Castelli", 
            "givenName": "Silvia", 
            "type": "Person"
          }
        ], 
        "genre": "chapter", 
        "id": "sg:pub.10.1007/978-94-007-1359-8_32", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": {
          "isbn": [
            "978-94-007-1358-1", 
            "978-94-007-1359-8"
          ], 
          "name": "Air Pollution Modeling and its Application XXI", 
          "type": "Book"
        }, 
        "name": "Incremental Development of Air Quality Forecasting System with Off-Line/On-Line Capability: Coupling CMAQ to NCEP National Mesoscale Model", 
        "pagination": "187-192", 
        "productId": [
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/978-94-007-1359-8_32"
            ]
          }, 
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "2e0a13f747f27cfbb65f9fc82a422ef2362baf4b4cd5cf7c26c0124067834d43"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1009664418"
            ]
          }
        ], 
        "publisher": {
          "location": "Dordrecht", 
          "name": "Springer Netherlands", 
          "type": "Organisation"
        }, 
        "sameAs": [
          "https://doi.org/10.1007/978-94-007-1359-8_32", 
          "https://app.dimensions.ai/details/publication/pub.1009664418"
        ], 
        "sdDataset": "chapters", 
        "sdDatePublished": "2019-04-15T16:15", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8675_00000249.jsonl", 
        "type": "Chapter", 
        "url": "http://link.springer.com/10.1007/978-94-007-1359-8_32"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/978-94-007-1359-8_32'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-94-007-1359-8_32'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-94-007-1359-8_32'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-94-007-1359-8_32'


     

    This table displays all metadata directly associated to this object as RDF triples.

    176 TRIPLES      23 PREDICATES      31 URIs      20 LITERALS      8 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/978-94-007-1359-8_32 schema:about anzsrc-for:09
    2 anzsrc-for:0907
    3 schema:author Na9be30f1709249369a6904f392b104d9
    4 schema:citation sg:pub.10.1007/s00703-001-0587-6
    5 https://doi.org/10.1016/s1352-2310(01)00183-2
    6 https://doi.org/10.1115/1.2128636
    7 https://doi.org/10.1175/waf855.1
    8 schema:datePublished 2011
    9 schema:datePublishedReg 2011-01-01
    10 schema:description The National Air Quality Forecast Capability (NAQFC) is based on the EPA Community Multiscale Air Quality (CMAQ) model driven by meteorological data from the NOAA North American Mesoscale (NAM) Non-hydrostatic Meso-scale Model (NMM). Currently, NMM meteorological data on Arakawa E-grid are interpolated on a CMAQ’s Arakawa C-grid using the processors PRODGEN and PREMAQ to handle map-projection transform, vertical layer collapsing, and other emission and meteorological data feed issues. The FY11 pre-implementation version of NAM has undergone significant changes in the vertical layering, horizontal grid projection and improved science components for its FY11 upcoming major upgrade release. This provides an opportunity to improve the coupling methodology between NMM and CMAQ that reduces uncertainties both in the meteorological and emission inputs for the off-line air quality modeling and helps development of on-line NMM-CMAQ version. Three major tasks are needed to achieve a tighter coupling between them: (1) Adapt to NAM’s vertical hybrid pressure and grid structure; (2) Change CMAQ to use the same rotated latitude longitude B staggered horizontal grid structure as NAM, (3) Modify emission model to provide generic inputs for the B staggered grid and hybrid vertical structure of NAM. The first task achieves consistent matching of dynamics between the two systems, despite the possible necessity of layer-collapsing to fit within operational time-lines. The second task removes unnecessary interpolation of meteorology data for air quality simulations. The third task involves modification of the U.S. EPA Sparse Matrix Object Kernel Emission (SMOKE) model to handle the staggered B grid. At this time only the first of these three steps has been accomplished, and the test result from this test focusing on the selected test period has been compared to that produced by the operational NAQFC. Further work with all these three modifications concurrently in place is underway.
    11 schema:editor Nfead570530e04465872abcc9194d3da6
    12 schema:genre chapter
    13 schema:inLanguage en
    14 schema:isAccessibleForFree false
    15 schema:isPartOf Nddc044fb21374464b7d0321d0c2b5a02
    16 schema:name Incremental Development of Air Quality Forecasting System with Off-Line/On-Line Capability: Coupling CMAQ to NCEP National Mesoscale Model
    17 schema:pagination 187-192
    18 schema:productId N54f37770d2254c21963e7fe339586146
    19 N6d199ed68fd04ceda1371482f9d25cfb
    20 N751afb9b74b34d8d9c9d377fd7fad894
    21 schema:publisher N1d251d89ebe845ffbfa2130c0f107781
    22 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009664418
    23 https://doi.org/10.1007/978-94-007-1359-8_32
    24 schema:sdDatePublished 2019-04-15T16:15
    25 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    26 schema:sdPublisher N10397df2fb364e10b7530c955c675ede
    27 schema:url http://link.springer.com/10.1007/978-94-007-1359-8_32
    28 sgo:license sg:explorer/license/
    29 sgo:sdDataset chapters
    30 rdf:type schema:Chapter
    31 N0ba169a44bba4e4e9ad5f838dcf666f0 schema:name IMSG Corp., Silver Spring, MD 20190, USA
    32 rdf:type schema:Organization
    33 N10397df2fb364e10b7530c955c675ede schema:name Springer Nature - SN SciGraph project
    34 rdf:type schema:Organization
    35 N1d251d89ebe845ffbfa2130c0f107781 schema:location Dordrecht
    36 schema:name Springer Netherlands
    37 rdf:type schema:Organisation
    38 N2d89ad6a3180425a8e34a0dccbdfe885 rdf:first sg:person.012347717633.13
    39 rdf:rest Nd5a65011b2bc47ed88d640133b932c7e
    40 N4abae081f80b4229ac4d3124b6b43c32 schema:familyName Steyn
    41 schema:givenName Douw G.
    42 rdf:type schema:Person
    43 N54f37770d2254c21963e7fe339586146 schema:name readcube_id
    44 schema:value 2e0a13f747f27cfbb65f9fc82a422ef2362baf4b4cd5cf7c26c0124067834d43
    45 rdf:type schema:PropertyValue
    46 N6519f5b797bf4bf184aa6ffaff6e29d9 rdf:first sg:person.01266715036.14
    47 rdf:rest N2d89ad6a3180425a8e34a0dccbdfe885
    48 N6d199ed68fd04ceda1371482f9d25cfb schema:name doi
    49 schema:value 10.1007/978-94-007-1359-8_32
    50 rdf:type schema:PropertyValue
    51 N7373d79aab6a45ecba0d05d7906aa2a2 rdf:first sg:person.014407601717.72
    52 rdf:rest N8316cc1f458f4738bfa8d9f818cc5cd5
    53 N751afb9b74b34d8d9c9d377fd7fad894 schema:name dimensions_id
    54 schema:value pub.1009664418
    55 rdf:type schema:PropertyValue
    56 N7d0eb95c31a44ad384808a97ebd14c32 rdf:first Necf20558c2c14ca2a5690493e527e070
    57 rdf:rest rdf:nil
    58 N8316cc1f458f4738bfa8d9f818cc5cd5 rdf:first sg:person.0627771450.31
    59 rdf:rest N6519f5b797bf4bf184aa6ffaff6e29d9
    60 N851e4438403d4e72ae4fbdaa6ac22cbd rdf:first sg:person.015153343207.03
    61 rdf:rest Nfc76474921ff49ac82d1e58387dda00c
    62 N97738f53e8ac43cab212fd15e60172a0 rdf:first sg:person.016367427205.12
    63 rdf:rest Ne62e42a673444dcd80a70d0fd040f74b
    64 Na9be30f1709249369a6904f392b104d9 rdf:first sg:person.011172205461.41
    65 rdf:rest N97738f53e8ac43cab212fd15e60172a0
    66 Nbc9c8b1434f84e3f9554e36283123504 rdf:first sg:person.012541026447.61
    67 rdf:rest Nf2947846229e4da0b7814b1938cd0f93
    68 Nd5a65011b2bc47ed88d640133b932c7e rdf:first sg:person.015355577205.15
    69 rdf:rest N851e4438403d4e72ae4fbdaa6ac22cbd
    70 Nddc044fb21374464b7d0321d0c2b5a02 schema:isbn 978-94-007-1358-1
    71 978-94-007-1359-8
    72 schema:name Air Pollution Modeling and its Application XXI
    73 rdf:type schema:Book
    74 Ne62e42a673444dcd80a70d0fd040f74b rdf:first sg:person.014773535643.61
    75 rdf:rest N7373d79aab6a45ecba0d05d7906aa2a2
    76 Necf20558c2c14ca2a5690493e527e070 schema:familyName Trini Castelli
    77 schema:givenName Silvia
    78 rdf:type schema:Person
    79 Nf2947846229e4da0b7814b1938cd0f93 rdf:first sg:person.07364320471.66
    80 rdf:rest rdf:nil
    81 Nfc76474921ff49ac82d1e58387dda00c rdf:first sg:person.013364650667.30
    82 rdf:rest Nbc9c8b1434f84e3f9554e36283123504
    83 Nfcd9ba1fc09443ae8244bdf5d77b1e5d schema:name IMSG Corp., Silver Spring, MD 20190, USA
    84 rdf:type schema:Organization
    85 Nfead570530e04465872abcc9194d3da6 rdf:first N4abae081f80b4229ac4d3124b6b43c32
    86 rdf:rest N7d0eb95c31a44ad384808a97ebd14c32
    87 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
    88 schema:name Engineering
    89 rdf:type schema:DefinedTerm
    90 anzsrc-for:0907 schema:inDefinedTermSet anzsrc-for:
    91 schema:name Environmental Engineering
    92 rdf:type schema:DefinedTerm
    93 sg:person.011172205461.41 schema:affiliation https://www.grid.ac/institutes/grid.423025.2
    94 schema:familyName Lee
    95 schema:givenName Pius
    96 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011172205461.41
    97 rdf:type schema:Person
    98 sg:person.012347717633.13 schema:affiliation https://www.grid.ac/institutes/grid.423025.2
    99 schema:familyName Saylor
    100 schema:givenName Rick
    101 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012347717633.13
    102 rdf:type schema:Person
    103 sg:person.012541026447.61 schema:affiliation https://www.grid.ac/institutes/grid.473673.2
    104 schema:familyName McQueen
    105 schema:givenName Jeff
    106 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012541026447.61
    107 rdf:type schema:Person
    108 sg:person.01266715036.14 schema:affiliation https://www.grid.ac/institutes/grid.486861.5
    109 schema:familyName Chai
    110 schema:givenName Tianfeng
    111 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01266715036.14
    112 rdf:type schema:Person
    113 sg:person.013364650667.30 schema:affiliation N0ba169a44bba4e4e9ad5f838dcf666f0
    114 schema:familyName Tsidulko
    115 schema:givenName Marina
    116 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013364650667.30
    117 rdf:type schema:Person
    118 sg:person.014407601717.72 schema:affiliation https://www.grid.ac/institutes/grid.486861.5
    119 schema:familyName Tong
    120 schema:givenName Daniel
    121 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014407601717.72
    122 rdf:type schema:Person
    123 sg:person.014773535643.61 schema:affiliation https://www.grid.ac/institutes/grid.486861.5
    124 schema:familyName Kim
    125 schema:givenName Hyuncheol
    126 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014773535643.61
    127 rdf:type schema:Person
    128 sg:person.015153343207.03 schema:affiliation https://www.grid.ac/institutes/grid.423025.2
    129 schema:familyName Byun
    130 schema:givenName Daewon
    131 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015153343207.03
    132 rdf:type schema:Person
    133 sg:person.015355577205.15 schema:affiliation https://www.grid.ac/institutes/grid.486861.5
    134 schema:familyName Stein
    135 schema:givenName Ariel
    136 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015355577205.15
    137 rdf:type schema:Person
    138 sg:person.016367427205.12 schema:affiliation https://www.grid.ac/institutes/grid.413455.2
    139 schema:familyName Ngan
    140 schema:givenName Fantine
    141 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016367427205.12
    142 rdf:type schema:Person
    143 sg:person.0627771450.31 schema:affiliation Nfcd9ba1fc09443ae8244bdf5d77b1e5d
    144 schema:familyName Tang
    145 schema:givenName Youhua
    146 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0627771450.31
    147 rdf:type schema:Person
    148 sg:person.07364320471.66 schema:affiliation https://www.grid.ac/institutes/grid.427180.8
    149 schema:familyName Stajner
    150 schema:givenName Ivanka
    151 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07364320471.66
    152 rdf:type schema:Person
    153 sg:pub.10.1007/s00703-001-0587-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026846482
    154 https://doi.org/10.1007/s00703-001-0587-6
    155 rdf:type schema:CreativeWork
    156 https://doi.org/10.1016/s1352-2310(01)00183-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052921618
    157 rdf:type schema:CreativeWork
    158 https://doi.org/10.1115/1.2128636 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062077095
    159 rdf:type schema:CreativeWork
    160 https://doi.org/10.1175/waf855.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010757100
    161 rdf:type schema:CreativeWork
    162 https://www.grid.ac/institutes/grid.413455.2 schema:alternateName University Corporation for Atmospheric Research
    163 schema:name University Corporation for Atmospheric research, Boulder, CO, USA
    164 rdf:type schema:Organization
    165 https://www.grid.ac/institutes/grid.423025.2 schema:alternateName Office of Oceanic and Atmospheric Research
    166 schema:name Department Air Resources Laboratory, Office of Oceanic and Atmospheric Research, National Oceanic and Atmospheric Administration USA, 1315 East-West Highway, SSMC3-Room 3316, Silver Spring, 20910, MD, USA
    167 rdf:type schema:Organization
    168 https://www.grid.ac/institutes/grid.427180.8 schema:alternateName Noblis
    169 schema:name Noblis Inc., Fairfax, VA, USA
    170 rdf:type schema:Organization
    171 https://www.grid.ac/institutes/grid.473673.2 schema:alternateName National Centers for Environmental Prediction
    172 schema:name Environmental Modeling Center, National Centers for Environmental Prediction, Camp Springs, MD, USA
    173 rdf:type schema:Organization
    174 https://www.grid.ac/institutes/grid.486861.5 schema:alternateName Earth Resources Technology (United States)
    175 schema:name Earth Resources Technology, Annapolis Junction, MD, USA
    176 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...