River Runoff Data for the Validation of Climate Simulation Models View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

1995

AUTHORS

Nigel W. Arnell

ABSTRACT

Climate model validation involves the comparison of model simulations with observed data. River runoff is a major part of the water balance, and represents one of the most important diagnostic variables of a climate model. Compared to other elements of the water balance — precipitation, evaporation and storage — runoff is easy to measure, and furthermore provides data on water fluxes integrated over both time and space. Areal actual evaporation is very difficult to measure, but can be inferred from observed runoff and precipitation. The ability of a climate model to simulate the partitioning of energy at the land surface into latent and sensible heat fluxes can therefore be assessed using observed precipitation and runoff data. More... »

PAGES

349-371

References to SciGraph publications

  • 1992-04. Global and continental water balance in a GCM in CLIMATIC CHANGE
  • Book

    TITLE

    The Role of Water and the Hydrological Cycle in Global Change

    ISBN

    978-3-642-79832-0
    978-3-642-79830-6

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-642-79830-6_12

    DOI

    http://dx.doi.org/10.1007/978-3-642-79830-6_12

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1009486160


    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/2008/0401", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Atmospheric Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/04", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Earth Sciences", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Natural Environment Research Council", 
              "id": "https://www.grid.ac/institutes/grid.8682.4", 
              "name": [
                "Institute of Hydrology, Wallingford, Oxon, OX10 8BB, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Arnell", 
            "givenName": "Nigel W.", 
            "id": "sg:person.0743535320.29", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0743535320.29"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1029/91wr00977", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005413316"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0022-1694(94)90177-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011187267"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0022-1694(94)90177-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011187267"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0022-1694(92)90126-g", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017439908"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0022-1694(92)90126-g", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017439908"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/92wr00917", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020415348"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0022-1694(90)90095-f", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022313418"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0022-1694(90)90095-f", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022313418"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/b978-0-444-89831-9.50016-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023825793"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/1520-0442(1988)001<0921:ighcfg>2.0.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025685196"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/02626668909491308", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029840720"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0022-1694(94)90175-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045738728"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0022-1694(94)90175-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045738728"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00142422", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050464610", 
              "https://doi.org/10.1007/bf00142422"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00142422", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050464610", 
              "https://doi.org/10.1007/bf00142422"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0022-1694(94)90200-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052993518"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0022-1694(94)90200-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052993518"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/02626668709491174", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053133118"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1086/628741", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1058824523"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "1995", 
        "datePublishedReg": "1995-01-01", 
        "description": "Climate model validation involves the comparison of model simulations with observed data. River runoff is a major part of the water balance, and represents one of the most important diagnostic variables of a climate model. Compared to other elements of the water balance \u2014 precipitation, evaporation and storage \u2014 runoff is easy to measure, and furthermore provides data on water fluxes integrated over both time and space. Areal actual evaporation is very difficult to measure, but can be inferred from observed runoff and precipitation. The ability of a climate model to simulate the partitioning of energy at the land surface into latent and sensible heat fluxes can therefore be assessed using observed precipitation and runoff data.", 
        "editor": [
          {
            "familyName": "Oliver", 
            "givenName": "Howard R.", 
            "type": "Person"
          }, 
          {
            "familyName": "Oliver", 
            "givenName": "Sylvia A.", 
            "type": "Person"
          }
        ], 
        "genre": "chapter", 
        "id": "sg:pub.10.1007/978-3-642-79830-6_12", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": {
          "isbn": [
            "978-3-642-79832-0", 
            "978-3-642-79830-6"
          ], 
          "name": "The Role of Water and the Hydrological Cycle in Global Change", 
          "type": "Book"
        }, 
        "name": "River Runoff Data for the Validation of Climate Simulation Models", 
        "pagination": "349-371", 
        "productId": [
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/978-3-642-79830-6_12"
            ]
          }, 
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "2d300f56d6f0b49e4a4755d89488a33bd3e7ab9698b78a0697ae10ee11c9ab06"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1009486160"
            ]
          }
        ], 
        "publisher": {
          "location": "Berlin, Heidelberg", 
          "name": "Springer Berlin Heidelberg", 
          "type": "Organisation"
        }, 
        "sameAs": [
          "https://doi.org/10.1007/978-3-642-79830-6_12", 
          "https://app.dimensions.ai/details/publication/pub.1009486160"
        ], 
        "sdDataset": "chapters", 
        "sdDatePublished": "2019-04-15T15:19", 
        "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_8672_00000248.jsonl", 
        "type": "Chapter", 
        "url": "http://link.springer.com/10.1007/978-3-642-79830-6_12"
      }
    ]
     

    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.10.1007/978-3-642-79830-6_12'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-79830-6_12'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-79830-6_12'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-79830-6_12'


     

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

    110 TRIPLES      23 PREDICATES      40 URIs      20 LITERALS      8 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/978-3-642-79830-6_12 schema:about anzsrc-for:04
    2 anzsrc-for:0401
    3 schema:author N862d1945fc2e4a27af9d3945ec6dc1d1
    4 schema:citation sg:pub.10.1007/bf00142422
    5 https://doi.org/10.1016/0022-1694(90)90095-f
    6 https://doi.org/10.1016/0022-1694(92)90126-g
    7 https://doi.org/10.1016/0022-1694(94)90175-9
    8 https://doi.org/10.1016/0022-1694(94)90177-5
    9 https://doi.org/10.1016/0022-1694(94)90200-3
    10 https://doi.org/10.1016/b978-0-444-89831-9.50016-8
    11 https://doi.org/10.1029/91wr00977
    12 https://doi.org/10.1029/92wr00917
    13 https://doi.org/10.1080/02626668709491174
    14 https://doi.org/10.1080/02626668909491308
    15 https://doi.org/10.1086/628741
    16 https://doi.org/10.1175/1520-0442(1988)001<0921:ighcfg>2.0.co;2
    17 schema:datePublished 1995
    18 schema:datePublishedReg 1995-01-01
    19 schema:description Climate model validation involves the comparison of model simulations with observed data. River runoff is a major part of the water balance, and represents one of the most important diagnostic variables of a climate model. Compared to other elements of the water balance — precipitation, evaporation and storage — runoff is easy to measure, and furthermore provides data on water fluxes integrated over both time and space. Areal actual evaporation is very difficult to measure, but can be inferred from observed runoff and precipitation. The ability of a climate model to simulate the partitioning of energy at the land surface into latent and sensible heat fluxes can therefore be assessed using observed precipitation and runoff data.
    20 schema:editor Nd633dfce325947af94911b48ade8b0a3
    21 schema:genre chapter
    22 schema:inLanguage en
    23 schema:isAccessibleForFree false
    24 schema:isPartOf N23778b62ded14208bb16f202cf9b0713
    25 schema:name River Runoff Data for the Validation of Climate Simulation Models
    26 schema:pagination 349-371
    27 schema:productId N238984c92f1f4e62925889cd339bcdc1
    28 N9550dc3e7e35469f8054c447c3594830
    29 Nb85db6c69b714bdeb3e74180a62b5812
    30 schema:publisher N79d2dde458544bfeb5b765b2aef7d5a5
    31 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009486160
    32 https://doi.org/10.1007/978-3-642-79830-6_12
    33 schema:sdDatePublished 2019-04-15T15:19
    34 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    35 schema:sdPublisher N9866821b760049b18fb126640f0a6473
    36 schema:url http://link.springer.com/10.1007/978-3-642-79830-6_12
    37 sgo:license sg:explorer/license/
    38 sgo:sdDataset chapters
    39 rdf:type schema:Chapter
    40 N189296b109424f7cb9bab92a443b9e70 schema:familyName Oliver
    41 schema:givenName Howard R.
    42 rdf:type schema:Person
    43 N23778b62ded14208bb16f202cf9b0713 schema:isbn 978-3-642-79830-6
    44 978-3-642-79832-0
    45 schema:name The Role of Water and the Hydrological Cycle in Global Change
    46 rdf:type schema:Book
    47 N238984c92f1f4e62925889cd339bcdc1 schema:name readcube_id
    48 schema:value 2d300f56d6f0b49e4a4755d89488a33bd3e7ab9698b78a0697ae10ee11c9ab06
    49 rdf:type schema:PropertyValue
    50 N5b3dd7c217534b28b79d04e2602b5592 rdf:first N6a53708775ed42c0babd29979e4be82a
    51 rdf:rest rdf:nil
    52 N6a53708775ed42c0babd29979e4be82a schema:familyName Oliver
    53 schema:givenName Sylvia A.
    54 rdf:type schema:Person
    55 N79d2dde458544bfeb5b765b2aef7d5a5 schema:location Berlin, Heidelberg
    56 schema:name Springer Berlin Heidelberg
    57 rdf:type schema:Organisation
    58 N862d1945fc2e4a27af9d3945ec6dc1d1 rdf:first sg:person.0743535320.29
    59 rdf:rest rdf:nil
    60 N9550dc3e7e35469f8054c447c3594830 schema:name doi
    61 schema:value 10.1007/978-3-642-79830-6_12
    62 rdf:type schema:PropertyValue
    63 N9866821b760049b18fb126640f0a6473 schema:name Springer Nature - SN SciGraph project
    64 rdf:type schema:Organization
    65 Nb85db6c69b714bdeb3e74180a62b5812 schema:name dimensions_id
    66 schema:value pub.1009486160
    67 rdf:type schema:PropertyValue
    68 Nd633dfce325947af94911b48ade8b0a3 rdf:first N189296b109424f7cb9bab92a443b9e70
    69 rdf:rest N5b3dd7c217534b28b79d04e2602b5592
    70 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
    71 schema:name Earth Sciences
    72 rdf:type schema:DefinedTerm
    73 anzsrc-for:0401 schema:inDefinedTermSet anzsrc-for:
    74 schema:name Atmospheric Sciences
    75 rdf:type schema:DefinedTerm
    76 sg:person.0743535320.29 schema:affiliation https://www.grid.ac/institutes/grid.8682.4
    77 schema:familyName Arnell
    78 schema:givenName Nigel W.
    79 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0743535320.29
    80 rdf:type schema:Person
    81 sg:pub.10.1007/bf00142422 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050464610
    82 https://doi.org/10.1007/bf00142422
    83 rdf:type schema:CreativeWork
    84 https://doi.org/10.1016/0022-1694(90)90095-f schema:sameAs https://app.dimensions.ai/details/publication/pub.1022313418
    85 rdf:type schema:CreativeWork
    86 https://doi.org/10.1016/0022-1694(92)90126-g schema:sameAs https://app.dimensions.ai/details/publication/pub.1017439908
    87 rdf:type schema:CreativeWork
    88 https://doi.org/10.1016/0022-1694(94)90175-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045738728
    89 rdf:type schema:CreativeWork
    90 https://doi.org/10.1016/0022-1694(94)90177-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011187267
    91 rdf:type schema:CreativeWork
    92 https://doi.org/10.1016/0022-1694(94)90200-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052993518
    93 rdf:type schema:CreativeWork
    94 https://doi.org/10.1016/b978-0-444-89831-9.50016-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023825793
    95 rdf:type schema:CreativeWork
    96 https://doi.org/10.1029/91wr00977 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005413316
    97 rdf:type schema:CreativeWork
    98 https://doi.org/10.1029/92wr00917 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020415348
    99 rdf:type schema:CreativeWork
    100 https://doi.org/10.1080/02626668709491174 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053133118
    101 rdf:type schema:CreativeWork
    102 https://doi.org/10.1080/02626668909491308 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029840720
    103 rdf:type schema:CreativeWork
    104 https://doi.org/10.1086/628741 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058824523
    105 rdf:type schema:CreativeWork
    106 https://doi.org/10.1175/1520-0442(1988)001<0921:ighcfg>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025685196
    107 rdf:type schema:CreativeWork
    108 https://www.grid.ac/institutes/grid.8682.4 schema:alternateName Natural Environment Research Council
    109 schema:name Institute of Hydrology, Wallingford, Oxon, OX10 8BB, UK
    110 rdf:type schema:Organization
     




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


    ...