A modeling study of the climate effects of sulfate and carbonaceous aerosols over China View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2010-11

AUTHORS

Hongnian Liu, Li Zhang, Jian Wu

ABSTRACT

In this paper, the RIEMS 2.0 model is used to simulate the distribution of sulfate, black carbon, and organic carbon aerosols over China (16.2°–44.1°N, 93.4°–132.4°E) in 1998. The climate effects of these three anthropogenic aerosols are also simulated. The results are summarized as follows: (1) The regional average column burdens of sulfate, BC, OC, and SOC were 5.9, 0.24, 2.4, and 0.49 mg m−2, with maxima of 33.9, 1.48, 7.3, and 1.1 mg m−2, respectively. The column burden and surface concentration of secondary organic carbon accounted for about 20% and 7%, respectively, of the total organic carbon in eastern China. (2) The radiative forcings of sulfate, organic carbon, and black carbon at the top of the atmosphere were −1.24, −0.6, and 0.16 W m−2, respectively, with extremes of −5.25, −2.6, and 0.91 W m−2. (3) The surface air temperature changes caused by sulfate, organic carbon, and black carbon were −0.07, −0.04, and 0.01 K, respectively. The air temperature increase caused by black carbon at 850 hPa was higher than that at the surface. The net effect of the three kinds of anthropogenic aerosols together decreased the annual average temperature by −0.075 K; the maximum value was −0.3 K. (4) Black carbon can reduce the precipitation in arid and semi-arid areas of northern China and increase the precipitation in wet and semi-wet areas of southern China. The average precipitation increase caused by black carbon in China was 0.003 mm d−1. The net effect of the three kinds of anthropogenic aerosols was to decrease the precipitation over China by 0.008 mm d−1. More... »

PAGES

1276-1288

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00376-010-9188-y

DOI

http://dx.doi.org/10.1007/s00376-010-9188-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1052881210


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": "Nanjing University", 
          "id": "https://www.grid.ac/institutes/grid.41156.37", 
          "name": [
            "School of Atmospheric Science, Nanjing University, 210093, Nanjing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Liu", 
        "givenName": "Hongnian", 
        "id": "sg:person.010551345260.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010551345260.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Nanjing University", 
          "id": "https://www.grid.ac/institutes/grid.41156.37", 
          "name": [
            "School of Atmospheric Science, Nanjing University, 210093, Nanjing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhang", 
        "givenName": "Li", 
        "id": "sg:person.016023217653.84", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016023217653.84"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yunnan University", 
          "id": "https://www.grid.ac/institutes/grid.440773.3", 
          "name": [
            "Department of Atmospheric Science, Yunnan University, 650091, Kunming, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wu", 
        "givenName": "Jian", 
        "id": "sg:person.07460472242.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07460472242.44"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/bf02915407", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012272232", 
          "https://doi.org/10.1007/bf02915407"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02915407", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012272232", 
          "https://doi.org/10.1007/bf02915407"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/94jd02224", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014654640"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2004jd005601", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018114375"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/98jd02347", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018619668"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00376-009-0057-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020662710", 
          "https://doi.org/10.1007/s00376-009-0057-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00376-009-0057-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020662710", 
          "https://doi.org/10.1007/s00376-009-0057-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2001jd001376", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022229456"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/jd094id10p12925", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025662704"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00376-008-0946-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026500015", 
          "https://doi.org/10.1007/s00376-008-0946-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00376-008-0946-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026500015", 
          "https://doi.org/10.1007/s00376-008-0946-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2002jd003093", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027338081"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35055518", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033678583", 
          "https://doi.org/10.1038/35055518"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35055518", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033678583", 
          "https://doi.org/10.1038/35055518"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2007jd009436", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035352839"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.261553698", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037824396"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/bams-86-2-257", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038091455"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1075159", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040067144"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/1998jd100049", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040210161"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/1999jd900187", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040682266"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2000gl011834", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046734778"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0004-6981(84)90349-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050273649"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0004-6981(84)90349-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050273649"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/95jd03426", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051572399"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/es950943+", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055517851"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/es950943+", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055517851"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2010-11", 
    "datePublishedReg": "2010-11-01", 
    "description": "In this paper, the RIEMS 2.0 model is used to simulate the distribution of sulfate, black carbon, and organic carbon aerosols over China (16.2\u00b0\u201344.1\u00b0N, 93.4\u00b0\u2013132.4\u00b0E) in 1998. The climate effects of these three anthropogenic aerosols are also simulated. The results are summarized as follows: (1) The regional average column burdens of sulfate, BC, OC, and SOC were 5.9, 0.24, 2.4, and 0.49 mg m\u22122, with maxima of 33.9, 1.48, 7.3, and 1.1 mg m\u22122, respectively. The column burden and surface concentration of secondary organic carbon accounted for about 20% and 7%, respectively, of the total organic carbon in eastern China. (2) The radiative forcings of sulfate, organic carbon, and black carbon at the top of the atmosphere were \u22121.24, \u22120.6, and 0.16 W m\u22122, respectively, with extremes of \u22125.25, \u22122.6, and 0.91 W m\u22122. (3) The surface air temperature changes caused by sulfate, organic carbon, and black carbon were \u22120.07, \u22120.04, and 0.01 K, respectively. The air temperature increase caused by black carbon at 850 hPa was higher than that at the surface. The net effect of the three kinds of anthropogenic aerosols together decreased the annual average temperature by \u22120.075 K; the maximum value was \u22120.3 K. (4) Black carbon can reduce the precipitation in arid and semi-arid areas of northern China and increase the precipitation in wet and semi-wet areas of southern China. The average precipitation increase caused by black carbon in China was 0.003 mm d\u22121. The net effect of the three kinds of anthropogenic aerosols was to decrease the precipitation over China by 0.008 mm d\u22121.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00376-010-9188-y", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1135901", 
        "issn": [
          "0256-1530", 
          "1861-9533"
        ], 
        "name": "Advances in Atmospheric Sciences", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "6", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "27"
      }
    ], 
    "name": "A modeling study of the climate effects of sulfate and carbonaceous aerosols over China", 
    "pagination": "1276-1288", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "fbe39086db76ea7c2c05d24ecbfb661102fa4e2b3a060f635a24e7530892fb47"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00376-010-9188-y"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1052881210"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00376-010-9188-y", 
      "https://app.dimensions.ai/details/publication/pub.1052881210"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:55", 
    "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/v90/0000000351_0000000351/records_43262_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s00376-010-9188-y"
  }
]
 

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/s00376-010-9188-y'

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/s00376-010-9188-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00376-010-9188-y'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00376-010-9188-y'


 

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

142 TRIPLES      21 PREDICATES      47 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00376-010-9188-y schema:about anzsrc-for:04
2 anzsrc-for:0401
3 schema:author N51f7015ae3c74b6eb59a54abe20bfae6
4 schema:citation sg:pub.10.1007/bf02915407
5 sg:pub.10.1007/s00376-008-0946-z
6 sg:pub.10.1007/s00376-009-0057-5
7 sg:pub.10.1038/35055518
8 https://doi.org/10.1016/0004-6981(84)90349-4
9 https://doi.org/10.1021/es950943+
10 https://doi.org/10.1029/1998jd100049
11 https://doi.org/10.1029/1999jd900187
12 https://doi.org/10.1029/2000gl011834
13 https://doi.org/10.1029/2001jd001376
14 https://doi.org/10.1029/2002jd003093
15 https://doi.org/10.1029/2004jd005601
16 https://doi.org/10.1029/2007jd009436
17 https://doi.org/10.1029/94jd02224
18 https://doi.org/10.1029/95jd03426
19 https://doi.org/10.1029/98jd02347
20 https://doi.org/10.1029/jd094id10p12925
21 https://doi.org/10.1073/pnas.261553698
22 https://doi.org/10.1126/science.1075159
23 https://doi.org/10.1175/bams-86-2-257
24 schema:datePublished 2010-11
25 schema:datePublishedReg 2010-11-01
26 schema:description In this paper, the RIEMS 2.0 model is used to simulate the distribution of sulfate, black carbon, and organic carbon aerosols over China (16.2°–44.1°N, 93.4°–132.4°E) in 1998. The climate effects of these three anthropogenic aerosols are also simulated. The results are summarized as follows: (1) The regional average column burdens of sulfate, BC, OC, and SOC were 5.9, 0.24, 2.4, and 0.49 mg m−2, with maxima of 33.9, 1.48, 7.3, and 1.1 mg m−2, respectively. The column burden and surface concentration of secondary organic carbon accounted for about 20% and 7%, respectively, of the total organic carbon in eastern China. (2) The radiative forcings of sulfate, organic carbon, and black carbon at the top of the atmosphere were −1.24, −0.6, and 0.16 W m−2, respectively, with extremes of −5.25, −2.6, and 0.91 W m−2. (3) The surface air temperature changes caused by sulfate, organic carbon, and black carbon were −0.07, −0.04, and 0.01 K, respectively. The air temperature increase caused by black carbon at 850 hPa was higher than that at the surface. The net effect of the three kinds of anthropogenic aerosols together decreased the annual average temperature by −0.075 K; the maximum value was −0.3 K. (4) Black carbon can reduce the precipitation in arid and semi-arid areas of northern China and increase the precipitation in wet and semi-wet areas of southern China. The average precipitation increase caused by black carbon in China was 0.003 mm d−1. The net effect of the three kinds of anthropogenic aerosols was to decrease the precipitation over China by 0.008 mm d−1.
27 schema:genre research_article
28 schema:inLanguage en
29 schema:isAccessibleForFree false
30 schema:isPartOf N60260bb09c5847c8872a026b34cfb8c2
31 N8f5c8eb085fc4e5fbc80c4ca0d4f7eb6
32 sg:journal.1135901
33 schema:name A modeling study of the climate effects of sulfate and carbonaceous aerosols over China
34 schema:pagination 1276-1288
35 schema:productId N93fb15f07c9349cba5f4782fc459a382
36 Na0e495fca5dc42ff90303e2449d3c5ac
37 Nb765150264f042f480c651e2b12189b4
38 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052881210
39 https://doi.org/10.1007/s00376-010-9188-y
40 schema:sdDatePublished 2019-04-11T10:55
41 schema:sdLicense https://scigraph.springernature.com/explorer/license/
42 schema:sdPublisher Nd7750c6703434505adc7346c5189aaba
43 schema:url http://link.springer.com/10.1007/s00376-010-9188-y
44 sgo:license sg:explorer/license/
45 sgo:sdDataset articles
46 rdf:type schema:ScholarlyArticle
47 N51f7015ae3c74b6eb59a54abe20bfae6 rdf:first sg:person.010551345260.38
48 rdf:rest N6dcdff7492a5448d831f8101a93901af
49 N60260bb09c5847c8872a026b34cfb8c2 schema:issueNumber 6
50 rdf:type schema:PublicationIssue
51 N6dcdff7492a5448d831f8101a93901af rdf:first sg:person.016023217653.84
52 rdf:rest Nd5460b87eb1841a5802df8c2b7d33cff
53 N8f5c8eb085fc4e5fbc80c4ca0d4f7eb6 schema:volumeNumber 27
54 rdf:type schema:PublicationVolume
55 N93fb15f07c9349cba5f4782fc459a382 schema:name dimensions_id
56 schema:value pub.1052881210
57 rdf:type schema:PropertyValue
58 Na0e495fca5dc42ff90303e2449d3c5ac schema:name doi
59 schema:value 10.1007/s00376-010-9188-y
60 rdf:type schema:PropertyValue
61 Nb765150264f042f480c651e2b12189b4 schema:name readcube_id
62 schema:value fbe39086db76ea7c2c05d24ecbfb661102fa4e2b3a060f635a24e7530892fb47
63 rdf:type schema:PropertyValue
64 Nd5460b87eb1841a5802df8c2b7d33cff rdf:first sg:person.07460472242.44
65 rdf:rest rdf:nil
66 Nd7750c6703434505adc7346c5189aaba schema:name Springer Nature - SN SciGraph project
67 rdf:type schema:Organization
68 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
69 schema:name Earth Sciences
70 rdf:type schema:DefinedTerm
71 anzsrc-for:0401 schema:inDefinedTermSet anzsrc-for:
72 schema:name Atmospheric Sciences
73 rdf:type schema:DefinedTerm
74 sg:journal.1135901 schema:issn 0256-1530
75 1861-9533
76 schema:name Advances in Atmospheric Sciences
77 rdf:type schema:Periodical
78 sg:person.010551345260.38 schema:affiliation https://www.grid.ac/institutes/grid.41156.37
79 schema:familyName Liu
80 schema:givenName Hongnian
81 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010551345260.38
82 rdf:type schema:Person
83 sg:person.016023217653.84 schema:affiliation https://www.grid.ac/institutes/grid.41156.37
84 schema:familyName Zhang
85 schema:givenName Li
86 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016023217653.84
87 rdf:type schema:Person
88 sg:person.07460472242.44 schema:affiliation https://www.grid.ac/institutes/grid.440773.3
89 schema:familyName Wu
90 schema:givenName Jian
91 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07460472242.44
92 rdf:type schema:Person
93 sg:pub.10.1007/bf02915407 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012272232
94 https://doi.org/10.1007/bf02915407
95 rdf:type schema:CreativeWork
96 sg:pub.10.1007/s00376-008-0946-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1026500015
97 https://doi.org/10.1007/s00376-008-0946-z
98 rdf:type schema:CreativeWork
99 sg:pub.10.1007/s00376-009-0057-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020662710
100 https://doi.org/10.1007/s00376-009-0057-5
101 rdf:type schema:CreativeWork
102 sg:pub.10.1038/35055518 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033678583
103 https://doi.org/10.1038/35055518
104 rdf:type schema:CreativeWork
105 https://doi.org/10.1016/0004-6981(84)90349-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050273649
106 rdf:type schema:CreativeWork
107 https://doi.org/10.1021/es950943+ schema:sameAs https://app.dimensions.ai/details/publication/pub.1055517851
108 rdf:type schema:CreativeWork
109 https://doi.org/10.1029/1998jd100049 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040210161
110 rdf:type schema:CreativeWork
111 https://doi.org/10.1029/1999jd900187 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040682266
112 rdf:type schema:CreativeWork
113 https://doi.org/10.1029/2000gl011834 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046734778
114 rdf:type schema:CreativeWork
115 https://doi.org/10.1029/2001jd001376 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022229456
116 rdf:type schema:CreativeWork
117 https://doi.org/10.1029/2002jd003093 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027338081
118 rdf:type schema:CreativeWork
119 https://doi.org/10.1029/2004jd005601 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018114375
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1029/2007jd009436 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035352839
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1029/94jd02224 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014654640
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1029/95jd03426 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051572399
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1029/98jd02347 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018619668
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1029/jd094id10p12925 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025662704
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1073/pnas.261553698 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037824396
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1126/science.1075159 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040067144
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1175/bams-86-2-257 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038091455
136 rdf:type schema:CreativeWork
137 https://www.grid.ac/institutes/grid.41156.37 schema:alternateName Nanjing University
138 schema:name School of Atmospheric Science, Nanjing University, 210093, Nanjing, China
139 rdf:type schema:Organization
140 https://www.grid.ac/institutes/grid.440773.3 schema:alternateName Yunnan University
141 schema:name Department of Atmospheric Science, Yunnan University, 650091, Kunming, China
142 rdf:type schema:Organization
 




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


...