Potential impacts of land-use on climate variability and extremes View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2009-09

AUTHORS

Huqiang Zhang, Yaohui Li, Xuejie Gao

ABSTRACT

This study aims at exploring potential impacts of land-use vegetation change (LUC) on regional climate variability and extremes. Results from a pair of Australian Bureau of Meteorology Research Centre (BMRC) climate model 54-yr (1949–2002) integrations have been analysed. In the model experiments, two vegetation datasets are used, with one representing current vegetation coverage in China and the other approximating its potential coverage without human intervention. The model results show potential impacts of LUC on climate variability and extremes. There are statistically significant changes of surface interannual climate variability simulated by the model. Using different vegetation datasets, significant changes in correlation coefficients between tropical Pacific Niño3.4 SST and precipitation and surface temperature over East Asia are identified, which indicate that changes in vegetation coverage may alter ENSO impacts on regional climate variability. Because of the lack of slowly varying surface processes when forests are removed and less rainfall is received following LUC, the ENSO signal simulated by the model becomes stronger. Results furthermore show that land-use could modulate characteristics of decadal variations in this region. When using current vegetation coverage, the model gives better simulation of observed climate variations in the region than the case using potential vegetation coverage. In addition, results suggest that land-use could be a potential factor contributing to the prolonged drought in central-west China. Changes in local climate extremes, including precipitation and surface temperature maxima and minima, are also identified. Overall, this study has illustrated the importance of further investigation of such important issues in future land-use studies. More... »

PAGES

840-854

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00376-009-8047-1

DOI

http://dx.doi.org/10.1007/s00376-009-8047-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1019852643


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": "China Meteorological Administration", 
          "id": "https://www.grid.ac/institutes/grid.8658.3", 
          "name": [
            "Centre for Australian Weather and Climate Research, 3001, Melbourne, VIC, Australia", 
            "Institute of Arid Meteorology, China Meteorological Administration, 730020, Lanzhou, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhang", 
        "givenName": "Huqiang", 
        "id": "sg:person.07504144023.71", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07504144023.71"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "China Meteorological Administration", 
          "id": "https://www.grid.ac/institutes/grid.8658.3", 
          "name": [
            "Institute of Arid Meteorology, China Meteorological Administration, 730020, Lanzhou, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "Yaohui", 
        "id": "sg:person.016464705204.85", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016464705204.85"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "China Meteorological Administration", 
          "id": "https://www.grid.ac/institutes/grid.8658.3", 
          "name": [
            "National Climate Center, China Meteorological Administration, 100081, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gao", 
        "givenName": "Xuejie", 
        "id": "sg:person.012504250106.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012504250106.19"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00382-008-0472-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001951752", 
          "https://doi.org/10.1007/s00382-008-0472-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00382-008-0472-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001951752", 
          "https://doi.org/10.1007/s00382-008-0472-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/qj.49712253107", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002809636"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/jhm510.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004905810"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/joc.1094", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004988630"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0442(2003)016<3742:eoerai>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005004369"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1010662425950", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005462152", 
          "https://doi.org/10.1023/a:1010662425950"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02907096", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006943136", 
          "https://doi.org/10.1007/bf02907096"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02907096", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006943136", 
          "https://doi.org/10.1007/bf02907096"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11434-007-0381-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007624808", 
          "https://doi.org/10.1007/s11434-007-0381-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/1999jd900049", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008459282"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35041539", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011328414", 
          "https://doi.org/10.1038/35041539"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35041539", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011328414", 
          "https://doi.org/10.1038/35041539"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0442(2004)017<3633:arotse>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011611952"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0442(2002)015<3266:acotea>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014158095"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/97jc02719", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014219473"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s003820050289", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016007763", 
          "https://doi.org/10.1007/s003820050289"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0493(1989)117<1779:acmfsf>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020057497"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0442(2000)013<1517:peathd>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020250586"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/1999gl011089", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020553031"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00382-002-0250-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025517032", 
          "https://doi.org/10.1007/s00382-002-0250-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0442(1998)011<0501:ivoism>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025585233"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/qj.49711850705", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028107403"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/jcli3141.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028865818"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0450(1984)023<0171:escvim>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029887578"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0442(1996)009<1497:iotdpi>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032228861"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/92jd02830", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034364362"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0442(2001)014<2880:pmorsv>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034665287"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0442(2002)015<3615:tioluc>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035274183"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00376-007-0527-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035616355", 
          "https://doi.org/10.1007/s00376-007-0527-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/jcli-3318.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042831266"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0442(2000)013<2217:rtcstc>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047222381"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00382-008-0388-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047982083", 
          "https://doi.org/10.1007/s00382-008-0388-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00382-008-0388-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047982083", 
          "https://doi.org/10.1007/s00382-008-0388-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-56228-0_4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052511790", 
          "https://doi.org/10.1007/978-3-642-56228-0_4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-56228-0_4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052511790", 
          "https://doi.org/10.1007/978-3-642-56228-0_4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.286.5444.1537", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062567373"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0493(1969)097<0739:catoc>2.3.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063452141"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2009-09", 
    "datePublishedReg": "2009-09-01", 
    "description": "This study aims at exploring potential impacts of land-use vegetation change (LUC) on regional climate variability and extremes. Results from a pair of Australian Bureau of Meteorology Research Centre (BMRC) climate model 54-yr (1949\u20132002) integrations have been analysed. In the model experiments, two vegetation datasets are used, with one representing current vegetation coverage in China and the other approximating its potential coverage without human intervention. The model results show potential impacts of LUC on climate variability and extremes. There are statistically significant changes of surface interannual climate variability simulated by the model. Using different vegetation datasets, significant changes in correlation coefficients between tropical Pacific Ni\u00f1o3.4 SST and precipitation and surface temperature over East Asia are identified, which indicate that changes in vegetation coverage may alter ENSO impacts on regional climate variability. Because of the lack of slowly varying surface processes when forests are removed and less rainfall is received following LUC, the ENSO signal simulated by the model becomes stronger. Results furthermore show that land-use could modulate characteristics of decadal variations in this region. When using current vegetation coverage, the model gives better simulation of observed climate variations in the region than the case using potential vegetation coverage. In addition, results suggest that land-use could be a potential factor contributing to the prolonged drought in central-west China. Changes in local climate extremes, including precipitation and surface temperature maxima and minima, are also identified. Overall, this study has illustrated the importance of further investigation of such important issues in future land-use studies.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00376-009-8047-1", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1135901", 
        "issn": [
          "0256-1530", 
          "1861-9533"
        ], 
        "name": "Advances in Atmospheric Sciences", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "26"
      }
    ], 
    "name": "Potential impacts of land-use on climate variability and extremes", 
    "pagination": "840-854", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "5e96c53b9bb2fd646b1ea3a2d3eab5a46b79261f82b04773b390c726a0bc8a18"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00376-009-8047-1"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1019852643"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00376-009-8047-1", 
      "https://app.dimensions.ai/details/publication/pub.1019852643"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T14:31", 
    "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/v90/0000000373_0000000373/records_13096_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s00376-009-8047-1"
  }
]
 

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/s00376-009-8047-1'

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/s00376-009-8047-1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00376-009-8047-1'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00376-009-8047-1'


 

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

186 TRIPLES      21 PREDICATES      60 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00376-009-8047-1 schema:about anzsrc-for:04
2 anzsrc-for:0401
3 schema:author Nedb4dd7547c64ce2b2b5babf2469872a
4 schema:citation sg:pub.10.1007/978-3-642-56228-0_4
5 sg:pub.10.1007/bf02907096
6 sg:pub.10.1007/s00376-007-0527-6
7 sg:pub.10.1007/s00382-002-0250-z
8 sg:pub.10.1007/s00382-008-0388-4
9 sg:pub.10.1007/s00382-008-0472-9
10 sg:pub.10.1007/s003820050289
11 sg:pub.10.1007/s11434-007-0381-z
12 sg:pub.10.1023/a:1010662425950
13 sg:pub.10.1038/35041539
14 https://doi.org/10.1002/joc.1094
15 https://doi.org/10.1002/qj.49711850705
16 https://doi.org/10.1002/qj.49712253107
17 https://doi.org/10.1029/1999gl011089
18 https://doi.org/10.1029/1999jd900049
19 https://doi.org/10.1029/92jd02830
20 https://doi.org/10.1029/97jc02719
21 https://doi.org/10.1126/science.286.5444.1537
22 https://doi.org/10.1175/1520-0442(1996)009<1497:iotdpi>2.0.co;2
23 https://doi.org/10.1175/1520-0442(1998)011<0501:ivoism>2.0.co;2
24 https://doi.org/10.1175/1520-0442(2000)013<1517:peathd>2.0.co;2
25 https://doi.org/10.1175/1520-0442(2000)013<2217:rtcstc>2.0.co;2
26 https://doi.org/10.1175/1520-0442(2001)014<2880:pmorsv>2.0.co;2
27 https://doi.org/10.1175/1520-0442(2002)015<3266:acotea>2.0.co;2
28 https://doi.org/10.1175/1520-0442(2002)015<3615:tioluc>2.0.co;2
29 https://doi.org/10.1175/1520-0442(2003)016<3742:eoerai>2.0.co;2
30 https://doi.org/10.1175/1520-0442(2004)017<3633:arotse>2.0.co;2
31 https://doi.org/10.1175/1520-0450(1984)023<0171:escvim>2.0.co;2
32 https://doi.org/10.1175/1520-0493(1969)097<0739:catoc>2.3.co;2
33 https://doi.org/10.1175/1520-0493(1989)117<1779:acmfsf>2.0.co;2
34 https://doi.org/10.1175/jcli-3318.1
35 https://doi.org/10.1175/jcli3141.1
36 https://doi.org/10.1175/jhm510.1
37 schema:datePublished 2009-09
38 schema:datePublishedReg 2009-09-01
39 schema:description This study aims at exploring potential impacts of land-use vegetation change (LUC) on regional climate variability and extremes. Results from a pair of Australian Bureau of Meteorology Research Centre (BMRC) climate model 54-yr (1949–2002) integrations have been analysed. In the model experiments, two vegetation datasets are used, with one representing current vegetation coverage in China and the other approximating its potential coverage without human intervention. The model results show potential impacts of LUC on climate variability and extremes. There are statistically significant changes of surface interannual climate variability simulated by the model. Using different vegetation datasets, significant changes in correlation coefficients between tropical Pacific Niño3.4 SST and precipitation and surface temperature over East Asia are identified, which indicate that changes in vegetation coverage may alter ENSO impacts on regional climate variability. Because of the lack of slowly varying surface processes when forests are removed and less rainfall is received following LUC, the ENSO signal simulated by the model becomes stronger. Results furthermore show that land-use could modulate characteristics of decadal variations in this region. When using current vegetation coverage, the model gives better simulation of observed climate variations in the region than the case using potential vegetation coverage. In addition, results suggest that land-use could be a potential factor contributing to the prolonged drought in central-west China. Changes in local climate extremes, including precipitation and surface temperature maxima and minima, are also identified. Overall, this study has illustrated the importance of further investigation of such important issues in future land-use studies.
40 schema:genre research_article
41 schema:inLanguage en
42 schema:isAccessibleForFree false
43 schema:isPartOf N18a63694b00d42efb0ea1fae59fb1800
44 Nd6e0ab5a627c4336be50a54f7b16fcb5
45 sg:journal.1135901
46 schema:name Potential impacts of land-use on climate variability and extremes
47 schema:pagination 840-854
48 schema:productId N43cbfbd5025345eaae668bd4504d35d3
49 N750c72c5aca44689998cb048a58a8c06
50 Ncc78a48a0cf94b35a624bb26a9dcd914
51 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019852643
52 https://doi.org/10.1007/s00376-009-8047-1
53 schema:sdDatePublished 2019-04-11T14:31
54 schema:sdLicense https://scigraph.springernature.com/explorer/license/
55 schema:sdPublisher Nc458208a94224edb91acbdbae7f4a21f
56 schema:url http://link.springer.com/10.1007/s00376-009-8047-1
57 sgo:license sg:explorer/license/
58 sgo:sdDataset articles
59 rdf:type schema:ScholarlyArticle
60 N14ca976808114473bb6ce9e5914ac14e rdf:first sg:person.016464705204.85
61 rdf:rest N2be3ad1a7c3e4b43b7b4e9abaf0a2799
62 N18a63694b00d42efb0ea1fae59fb1800 schema:issueNumber 5
63 rdf:type schema:PublicationIssue
64 N2be3ad1a7c3e4b43b7b4e9abaf0a2799 rdf:first sg:person.012504250106.19
65 rdf:rest rdf:nil
66 N43cbfbd5025345eaae668bd4504d35d3 schema:name doi
67 schema:value 10.1007/s00376-009-8047-1
68 rdf:type schema:PropertyValue
69 N750c72c5aca44689998cb048a58a8c06 schema:name readcube_id
70 schema:value 5e96c53b9bb2fd646b1ea3a2d3eab5a46b79261f82b04773b390c726a0bc8a18
71 rdf:type schema:PropertyValue
72 Nc458208a94224edb91acbdbae7f4a21f schema:name Springer Nature - SN SciGraph project
73 rdf:type schema:Organization
74 Ncc78a48a0cf94b35a624bb26a9dcd914 schema:name dimensions_id
75 schema:value pub.1019852643
76 rdf:type schema:PropertyValue
77 Nd6e0ab5a627c4336be50a54f7b16fcb5 schema:volumeNumber 26
78 rdf:type schema:PublicationVolume
79 Nedb4dd7547c64ce2b2b5babf2469872a rdf:first sg:person.07504144023.71
80 rdf:rest N14ca976808114473bb6ce9e5914ac14e
81 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
82 schema:name Earth Sciences
83 rdf:type schema:DefinedTerm
84 anzsrc-for:0401 schema:inDefinedTermSet anzsrc-for:
85 schema:name Atmospheric Sciences
86 rdf:type schema:DefinedTerm
87 sg:journal.1135901 schema:issn 0256-1530
88 1861-9533
89 schema:name Advances in Atmospheric Sciences
90 rdf:type schema:Periodical
91 sg:person.012504250106.19 schema:affiliation https://www.grid.ac/institutes/grid.8658.3
92 schema:familyName Gao
93 schema:givenName Xuejie
94 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012504250106.19
95 rdf:type schema:Person
96 sg:person.016464705204.85 schema:affiliation https://www.grid.ac/institutes/grid.8658.3
97 schema:familyName Li
98 schema:givenName Yaohui
99 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016464705204.85
100 rdf:type schema:Person
101 sg:person.07504144023.71 schema:affiliation https://www.grid.ac/institutes/grid.8658.3
102 schema:familyName Zhang
103 schema:givenName Huqiang
104 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07504144023.71
105 rdf:type schema:Person
106 sg:pub.10.1007/978-3-642-56228-0_4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052511790
107 https://doi.org/10.1007/978-3-642-56228-0_4
108 rdf:type schema:CreativeWork
109 sg:pub.10.1007/bf02907096 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006943136
110 https://doi.org/10.1007/bf02907096
111 rdf:type schema:CreativeWork
112 sg:pub.10.1007/s00376-007-0527-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035616355
113 https://doi.org/10.1007/s00376-007-0527-6
114 rdf:type schema:CreativeWork
115 sg:pub.10.1007/s00382-002-0250-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1025517032
116 https://doi.org/10.1007/s00382-002-0250-z
117 rdf:type schema:CreativeWork
118 sg:pub.10.1007/s00382-008-0388-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047982083
119 https://doi.org/10.1007/s00382-008-0388-4
120 rdf:type schema:CreativeWork
121 sg:pub.10.1007/s00382-008-0472-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001951752
122 https://doi.org/10.1007/s00382-008-0472-9
123 rdf:type schema:CreativeWork
124 sg:pub.10.1007/s003820050289 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016007763
125 https://doi.org/10.1007/s003820050289
126 rdf:type schema:CreativeWork
127 sg:pub.10.1007/s11434-007-0381-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1007624808
128 https://doi.org/10.1007/s11434-007-0381-z
129 rdf:type schema:CreativeWork
130 sg:pub.10.1023/a:1010662425950 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005462152
131 https://doi.org/10.1023/a:1010662425950
132 rdf:type schema:CreativeWork
133 sg:pub.10.1038/35041539 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011328414
134 https://doi.org/10.1038/35041539
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1002/joc.1094 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004988630
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1002/qj.49711850705 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028107403
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1002/qj.49712253107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002809636
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1029/1999gl011089 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020553031
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1029/1999jd900049 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008459282
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1029/92jd02830 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034364362
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1029/97jc02719 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014219473
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1126/science.286.5444.1537 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062567373
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1175/1520-0442(1996)009<1497:iotdpi>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032228861
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1175/1520-0442(1998)011<0501:ivoism>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025585233
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1175/1520-0442(2000)013<1517:peathd>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020250586
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1175/1520-0442(2000)013<2217:rtcstc>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047222381
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1175/1520-0442(2001)014<2880:pmorsv>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034665287
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1175/1520-0442(2002)015<3266:acotea>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014158095
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1175/1520-0442(2002)015<3615:tioluc>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035274183
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1175/1520-0442(2003)016<3742:eoerai>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005004369
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1175/1520-0442(2004)017<3633:arotse>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011611952
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1175/1520-0450(1984)023<0171:escvim>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029887578
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1175/1520-0493(1969)097<0739:catoc>2.3.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063452141
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1175/1520-0493(1989)117<1779:acmfsf>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020057497
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1175/jcli-3318.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042831266
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1175/jcli3141.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028865818
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1175/jhm510.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004905810
181 rdf:type schema:CreativeWork
182 https://www.grid.ac/institutes/grid.8658.3 schema:alternateName China Meteorological Administration
183 schema:name Centre for Australian Weather and Climate Research, 3001, Melbourne, VIC, Australia
184 Institute of Arid Meteorology, China Meteorological Administration, 730020, Lanzhou, China
185 National Climate Center, China Meteorological Administration, 100081, Beijing, China
186 rdf:type schema:Organization
 




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


...