Meso-scale effects of tropical deforestation in Amazonia: preparatory LBA modelling studies View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

1999-08

AUTHORS

A. J. Dolman, M. A. Silva Dias, J.-C. Calvet, M. Ashby, A. S. Tahara, C. Delire, P. Kabat, G. A. Fisch, C. A. Nobre

ABSTRACT

As part of the preparation for the Large-Scale Biosphere Atmosphere Experiment in Amazonia, a meso-scale modelling study was executed to highlight deficiencies in the current understanding of land surface atmosphere interaction at local to sub-continental scales in the dry season. Meso-scale models were run in 1-D and 3-D mode for the area of Rondonia State, Brazil. The important conclusions are that without calibration it is difficult to model the energy partitioning of pasture; modelling that of forest is easier due to the absence of a strong moisture deficit signal. The simulation of the boundary layer above forest is good, above deforested areas (pasture) poor. The models’ underestimate of the temperature of the boundary layer is likely to be caused by the neglect of the radiative effects of aerosols caused by biomass burning, but other factors such as lack of sufficient entrainment in the model at the mixed layer top may also contribute. The Andes generate patterns of subsidence and gravity waves, the effects of which are felt far into the Rondonian area The results show that the picture presented by GCM modelling studies may need to be balanced by an increased understanding of what happens at the meso-scale. The results are used to identify key measurements for the LBA atmospheric meso-scale campaign needed to improve the model simulations. Similar modelling studies are proposed for the wet season in Rondonia, when convection plays a major role. More... »

PAGES

1095-1110

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00585-999-1095-0

DOI

http://dx.doi.org/10.1007/s00585-999-1095-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1054518515


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": {
          "name": [
            "DLO Winand Staring Centre, Wageningen, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dolman", 
        "givenName": "A. J.", 
        "id": "sg:person.01024231565.56", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01024231565.56"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Sao Paulo", 
          "id": "https://www.grid.ac/institutes/grid.11899.38", 
          "name": [
            "University of Sao Paulo, Sao Paulo, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dias", 
        "givenName": "M. A. Silva", 
        "id": "sg:person.012240100231.37", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012240100231.37"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Centre National de Recherches M\u00e9t\u00e9orologiques", 
          "id": "https://www.grid.ac/institutes/grid.423777.2", 
          "name": [
            "Meteo France/CNRM, Toulouse, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Calvet", 
        "givenName": "J.-C.", 
        "id": "sg:person.012770654573.57", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012770654573.57"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "DLO Winand Staring Centre, Wageningen, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ashby", 
        "givenName": "M.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Centro de Previsao de Tempo e Estudos Climaticos, INPE/CPTEC, Cachoeira Paulista, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tahara", 
        "givenName": "A. S.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Centre National de Recherches M\u00e9t\u00e9orologiques", 
          "id": "https://www.grid.ac/institutes/grid.423777.2", 
          "name": [
            "Meteo France/CNRM, Toulouse, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Delire", 
        "givenName": "C.", 
        "id": "sg:person.016543031117.80", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016543031117.80"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "DLO Winand Staring Centre, Wageningen, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kabat", 
        "givenName": "P.", 
        "id": "sg:person.01051063477.69", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01051063477.69"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Centro Tecnico Aerospacial, Sao Jose dos Campos, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fisch", 
        "givenName": "G. A.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Centro de Previsao de Tempo e Estudos Climaticos, INPE/CPTEC, Cachoeira Paulista, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nobre", 
        "givenName": "C. A.", 
        "id": "sg:person.016336451761.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016336451761.40"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/s0168-1923(99)00010-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023991892"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1590/s0102-261x1999000100010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027792749"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0477(1995)076<1801:eoccod>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041439024"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/95jd03031", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048553677"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0493(1989)117<2113:apohls>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063452813"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1999-08", 
    "datePublishedReg": "1999-08-01", 
    "description": "As part of the preparation for the Large-Scale Biosphere Atmosphere Experiment in Amazonia, a meso-scale modelling study was executed to highlight deficiencies in the current understanding of land surface atmosphere interaction at local to sub-continental scales in the dry season. Meso-scale models were run in 1-D and 3-D mode for the area of Rondonia State, Brazil. The important conclusions are that without calibration it is difficult to model the energy partitioning of pasture; modelling that of forest is easier due to the absence of a strong moisture deficit signal. The simulation of the boundary layer above forest is good, above deforested areas (pasture) poor. The models\u2019 underestimate of the temperature of the boundary layer is likely to be caused by the neglect of the radiative effects of aerosols caused by biomass burning, but other factors such as lack of sufficient entrainment in the model at the mixed layer top may also contribute. The Andes generate patterns of subsidence and gravity waves, the effects of which are felt far into the Rondonian area The results show that the picture presented by GCM modelling studies may need to be balanced by an increased understanding of what happens at the meso-scale. The results are used to identify key measurements for the LBA atmospheric meso-scale campaign needed to improve the model simulations. Similar modelling studies are proposed for the wet season in Rondonia, when convection plays a major role.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00585-999-1095-0", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1269961", 
        "issn": [
          "0992-7689", 
          "1432-0576"
        ], 
        "name": "Annales Geophysicae", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "8", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "17"
      }
    ], 
    "name": "Meso-scale effects of tropical deforestation in Amazonia: preparatory LBA modelling studies", 
    "pagination": "1095-1110", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "f5df548ab4804b8f79966737d131818eb054730a23f9c2d55170cfcfdee10a8b"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00585-999-1095-0"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1054518515"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00585-999-1095-0", 
      "https://app.dimensions.ai/details/publication/pub.1054518515"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T11:25", 
    "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/v90/0000000356_0000000356/records_57874_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs00585-999-1095-0"
  }
]
 

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/s00585-999-1095-0'

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/s00585-999-1095-0'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00585-999-1095-0'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00585-999-1095-0'


 

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

144 TRIPLES      21 PREDICATES      32 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00585-999-1095-0 schema:about anzsrc-for:04
2 anzsrc-for:0401
3 schema:author N903e484ca44b4c98a3ea768c7708a220
4 schema:citation https://doi.org/10.1016/s0168-1923(99)00010-6
5 https://doi.org/10.1029/95jd03031
6 https://doi.org/10.1175/1520-0477(1995)076<1801:eoccod>2.0.co;2
7 https://doi.org/10.1175/1520-0493(1989)117<2113:apohls>2.0.co;2
8 https://doi.org/10.1590/s0102-261x1999000100010
9 schema:datePublished 1999-08
10 schema:datePublishedReg 1999-08-01
11 schema:description As part of the preparation for the Large-Scale Biosphere Atmosphere Experiment in Amazonia, a meso-scale modelling study was executed to highlight deficiencies in the current understanding of land surface atmosphere interaction at local to sub-continental scales in the dry season. Meso-scale models were run in 1-D and 3-D mode for the area of Rondonia State, Brazil. The important conclusions are that without calibration it is difficult to model the energy partitioning of pasture; modelling that of forest is easier due to the absence of a strong moisture deficit signal. The simulation of the boundary layer above forest is good, above deforested areas (pasture) poor. The models’ underestimate of the temperature of the boundary layer is likely to be caused by the neglect of the radiative effects of aerosols caused by biomass burning, but other factors such as lack of sufficient entrainment in the model at the mixed layer top may also contribute. The Andes generate patterns of subsidence and gravity waves, the effects of which are felt far into the Rondonian area The results show that the picture presented by GCM modelling studies may need to be balanced by an increased understanding of what happens at the meso-scale. The results are used to identify key measurements for the LBA atmospheric meso-scale campaign needed to improve the model simulations. Similar modelling studies are proposed for the wet season in Rondonia, when convection plays a major role.
12 schema:genre research_article
13 schema:inLanguage en
14 schema:isAccessibleForFree true
15 schema:isPartOf N4a451570867043e08a972eb8dd950782
16 Nd8fd59baed07446bbcc3391ff3755615
17 sg:journal.1269961
18 schema:name Meso-scale effects of tropical deforestation in Amazonia: preparatory LBA modelling studies
19 schema:pagination 1095-1110
20 schema:productId N7eeb7db50daa487ebcd97bed393c3a79
21 Nb3e0fd02a2bf475f8cf7a606a4e5766e
22 Ne407363805504a2d85a2e8a1077c3a82
23 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054518515
24 https://doi.org/10.1007/s00585-999-1095-0
25 schema:sdDatePublished 2019-04-11T11:25
26 schema:sdLicense https://scigraph.springernature.com/explorer/license/
27 schema:sdPublisher N701136f73fcf4646875189d90e1cf025
28 schema:url http://link.springer.com/10.1007%2Fs00585-999-1095-0
29 sgo:license sg:explorer/license/
30 sgo:sdDataset articles
31 rdf:type schema:ScholarlyArticle
32 N12c85462a9b4444f958c4c0b2aab9fbd schema:name Centro de Previsao de Tempo e Estudos Climaticos, INPE/CPTEC, Cachoeira Paulista, Brazil
33 rdf:type schema:Organization
34 N4a451570867043e08a972eb8dd950782 schema:volumeNumber 17
35 rdf:type schema:PublicationVolume
36 N50cb544a8d5f4a9b8ce93a7dc9f1e2bf schema:name Centro Tecnico Aerospacial, Sao Jose dos Campos, Brazil
37 rdf:type schema:Organization
38 N58ec077cdbb14d2d8eaa6e84227283ca schema:name Centro de Previsao de Tempo e Estudos Climaticos, INPE/CPTEC, Cachoeira Paulista, Brazil
39 rdf:type schema:Organization
40 N5eed1c4f16544e7d839525d86a82d25c schema:affiliation N87a4453cd3e1428a9d5314b026b100f1
41 schema:familyName Ashby
42 schema:givenName M.
43 rdf:type schema:Person
44 N5f36fb7dcd884a7f83d5939019fa7990 rdf:first N5eed1c4f16544e7d839525d86a82d25c
45 rdf:rest N60e6ca6c7d584cbfaed18cd429ff88d7
46 N60e6ca6c7d584cbfaed18cd429ff88d7 rdf:first Ncdd5b3c3af70433d8214cecdbb2bfbcd
47 rdf:rest N87e5eacad4c948a3b7f994fc639b0d5f
48 N701136f73fcf4646875189d90e1cf025 schema:name Springer Nature - SN SciGraph project
49 rdf:type schema:Organization
50 N7b0edb8a20eb4912ac5a3b02def241a0 rdf:first sg:person.01051063477.69
51 rdf:rest Ndea04745eea44b1fa279563e5ec2bbc7
52 N7ea3296353e8476aa6135fbf7a66c643 schema:name DLO Winand Staring Centre, Wageningen, The Netherlands
53 rdf:type schema:Organization
54 N7eeb7db50daa487ebcd97bed393c3a79 schema:name readcube_id
55 schema:value f5df548ab4804b8f79966737d131818eb054730a23f9c2d55170cfcfdee10a8b
56 rdf:type schema:PropertyValue
57 N87a4453cd3e1428a9d5314b026b100f1 schema:name DLO Winand Staring Centre, Wageningen, The Netherlands
58 rdf:type schema:Organization
59 N87e5eacad4c948a3b7f994fc639b0d5f rdf:first sg:person.016543031117.80
60 rdf:rest N7b0edb8a20eb4912ac5a3b02def241a0
61 N903e484ca44b4c98a3ea768c7708a220 rdf:first sg:person.01024231565.56
62 rdf:rest Nbb83d294c9c640ebb5324132d130918d
63 Na077e86d5dbb41a4a3542e16f9c490c8 schema:name DLO Winand Staring Centre, Wageningen, The Netherlands
64 rdf:type schema:Organization
65 Na9cc1fd34985441f84b512213985eb58 schema:affiliation N50cb544a8d5f4a9b8ce93a7dc9f1e2bf
66 schema:familyName Fisch
67 schema:givenName G. A.
68 rdf:type schema:Person
69 Nb3e0fd02a2bf475f8cf7a606a4e5766e schema:name doi
70 schema:value 10.1007/s00585-999-1095-0
71 rdf:type schema:PropertyValue
72 Nbb83d294c9c640ebb5324132d130918d rdf:first sg:person.012240100231.37
73 rdf:rest Ne946a5dcfe62492e9fe147346b4733e1
74 Ncdd5b3c3af70433d8214cecdbb2bfbcd schema:affiliation N58ec077cdbb14d2d8eaa6e84227283ca
75 schema:familyName Tahara
76 schema:givenName A. S.
77 rdf:type schema:Person
78 Nd4f2d9ab07964e4eb247778d3db28521 rdf:first sg:person.016336451761.40
79 rdf:rest rdf:nil
80 Nd8fd59baed07446bbcc3391ff3755615 schema:issueNumber 8
81 rdf:type schema:PublicationIssue
82 Ndea04745eea44b1fa279563e5ec2bbc7 rdf:first Na9cc1fd34985441f84b512213985eb58
83 rdf:rest Nd4f2d9ab07964e4eb247778d3db28521
84 Ne407363805504a2d85a2e8a1077c3a82 schema:name dimensions_id
85 schema:value pub.1054518515
86 rdf:type schema:PropertyValue
87 Ne946a5dcfe62492e9fe147346b4733e1 rdf:first sg:person.012770654573.57
88 rdf:rest N5f36fb7dcd884a7f83d5939019fa7990
89 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
90 schema:name Earth Sciences
91 rdf:type schema:DefinedTerm
92 anzsrc-for:0401 schema:inDefinedTermSet anzsrc-for:
93 schema:name Atmospheric Sciences
94 rdf:type schema:DefinedTerm
95 sg:journal.1269961 schema:issn 0992-7689
96 1432-0576
97 schema:name Annales Geophysicae
98 rdf:type schema:Periodical
99 sg:person.01024231565.56 schema:affiliation Na077e86d5dbb41a4a3542e16f9c490c8
100 schema:familyName Dolman
101 schema:givenName A. J.
102 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01024231565.56
103 rdf:type schema:Person
104 sg:person.01051063477.69 schema:affiliation N7ea3296353e8476aa6135fbf7a66c643
105 schema:familyName Kabat
106 schema:givenName P.
107 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01051063477.69
108 rdf:type schema:Person
109 sg:person.012240100231.37 schema:affiliation https://www.grid.ac/institutes/grid.11899.38
110 schema:familyName Dias
111 schema:givenName M. A. Silva
112 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012240100231.37
113 rdf:type schema:Person
114 sg:person.012770654573.57 schema:affiliation https://www.grid.ac/institutes/grid.423777.2
115 schema:familyName Calvet
116 schema:givenName J.-C.
117 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012770654573.57
118 rdf:type schema:Person
119 sg:person.016336451761.40 schema:affiliation N12c85462a9b4444f958c4c0b2aab9fbd
120 schema:familyName Nobre
121 schema:givenName C. A.
122 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016336451761.40
123 rdf:type schema:Person
124 sg:person.016543031117.80 schema:affiliation https://www.grid.ac/institutes/grid.423777.2
125 schema:familyName Delire
126 schema:givenName C.
127 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016543031117.80
128 rdf:type schema:Person
129 https://doi.org/10.1016/s0168-1923(99)00010-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023991892
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1029/95jd03031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048553677
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1175/1520-0477(1995)076<1801:eoccod>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041439024
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1175/1520-0493(1989)117<2113:apohls>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063452813
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1590/s0102-261x1999000100010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027792749
138 rdf:type schema:CreativeWork
139 https://www.grid.ac/institutes/grid.11899.38 schema:alternateName University of Sao Paulo
140 schema:name University of Sao Paulo, Sao Paulo, Brazil
141 rdf:type schema:Organization
142 https://www.grid.ac/institutes/grid.423777.2 schema:alternateName Centre National de Recherches Météorologiques
143 schema:name Meteo France/CNRM, Toulouse, France
144 rdf:type schema:Organization
 




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


...