The asymmetry of rainfall process View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2013-06

AUTHORS

RuCong Yu, WeiHua Yuan, Jian Li

ABSTRACT

Using hourly station rain gauge data in the warm season (May–October) during 1961–2006, the climatological features of the evolution of the rainfall process are analyzed by compositing rainfall events centered on the maximum hourly rainfall amount of each event. The results reveal that the rainfall process is asymmetric, which means rainfall events usually reach the maximum in a short period and then experience a relatively longer retreat to the end of the event. The effects of rainfall intensity, duration and peak time, as well as topography, are also considered. It is found that the asymmetry is more obvious in rainfall events with strong intensity and over areas with complex terrain, such as the eastern margin of the Tibetan Plateau, the Hengduan Mountains, and the Yungui Plateau. The asymmetry in short-duration rainfall is more obvious than that in long-duration rainfall, but the regional differences are weaker. The rainfall events that reach the maximum during 14:00–02:00 LST exhibit the strongest asymmetry and those during 08:00–14:00 LST show the weakest asymmetry. The rainfall intensity at the peak time stands out, which means that the rainfall intensity increases and decreases quickly both before and after the peak. These results can improve understanding of the rainfall process and provide metrics for the evaluation of climate models. Moreover, the strong asymmetry of the rainfall process should be highly noted when taking measures to defending against geological hazards, such as collapses, landslides and debris flows throughout southwestern China. More... »

PAGES

1850-1856

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11434-012-5653-6

DOI

http://dx.doi.org/10.1007/s11434-012-5653-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1030942405


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": [
            "LaSW, Chinese Academy of Meteorological Sciences, China Meteorological Administration, 100081, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yu", 
        "givenName": "RuCong", 
        "id": "sg:person.015173077562.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015173077562.22"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Atmospheric Physics", 
          "id": "https://www.grid.ac/institutes/grid.424023.3", 
          "name": [
            "State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences, 100029, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yuan", 
        "givenName": "WeiHua", 
        "id": "sg:person.014634711503.63", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014634711503.63"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "China Meteorological Administration", 
          "id": "https://www.grid.ac/institutes/grid.8658.3", 
          "name": [
            "LaSW, Chinese Academy of Meteorological Sciences, China Meteorological Administration, 100081, Beijing, China", 
            "Dali National Climate Observatory, 671003, Dali, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "Jian", 
        "id": "sg:person.012121147753.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012121147753.51"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00703-005-0125-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000599997", 
          "https://doi.org/10.1007/s00703-005-0125-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00703-005-0125-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000599997", 
          "https://doi.org/10.1007/s00703-005-0125-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/2009jcli3187.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001394334"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2006gl028129", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002821455"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/2010jcli3454.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012334808"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2151/jmsj.79.277", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013731087"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/bams-84-9-1205", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020798363"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/joc.1758", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023075349"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0442(2004)017<0744:voteas>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027820118"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13131-011-0104-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031647149", 
          "https://doi.org/10.1007/s13131-011-0104-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13131-011-0104-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031647149", 
          "https://doi.org/10.1007/s13131-011-0104-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00703-010-0094-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035163707", 
          "https://doi.org/10.1007/s00703-010-0094-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00703-010-0094-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035163707", 
          "https://doi.org/10.1007/s00703-010-0094-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2151/jmsj.79.1119", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036049287"
        ], 
        "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/10.1175/2010jcli3805.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044633317"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11434-008-0195-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045739461", 
          "https://doi.org/10.1007/s11434-008-0195-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2007gl030315", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049862934"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11434-010-4241-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050698469", 
          "https://doi.org/10.1007/s11434-010-4241-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/jcli-d-11-00009.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051222738"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/jcli-d-11-00656.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063454938"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1360/04wd0207", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1065069337", 
          "https://doi.org/10.1360/04wd0207"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013-06", 
    "datePublishedReg": "2013-06-01", 
    "description": "Using hourly station rain gauge data in the warm season (May\u2013October) during 1961\u20132006, the climatological features of the evolution of the rainfall process are analyzed by compositing rainfall events centered on the maximum hourly rainfall amount of each event. The results reveal that the rainfall process is asymmetric, which means rainfall events usually reach the maximum in a short period and then experience a relatively longer retreat to the end of the event. The effects of rainfall intensity, duration and peak time, as well as topography, are also considered. It is found that the asymmetry is more obvious in rainfall events with strong intensity and over areas with complex terrain, such as the eastern margin of the Tibetan Plateau, the Hengduan Mountains, and the Yungui Plateau. The asymmetry in short-duration rainfall is more obvious than that in long-duration rainfall, but the regional differences are weaker. The rainfall events that reach the maximum during 14:00\u201302:00 LST exhibit the strongest asymmetry and those during 08:00\u201314:00 LST show the weakest asymmetry. The rainfall intensity at the peak time stands out, which means that the rainfall intensity increases and decreases quickly both before and after the peak. These results can improve understanding of the rainfall process and provide metrics for the evaluation of climate models. Moreover, the strong asymmetry of the rainfall process should be highly noted when taking measures to defending against geological hazards, such as collapses, landslides and debris flows throughout southwestern China.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11434-012-5653-6", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1051679", 
        "issn": [
          "2095-9273", 
          "2095-9281"
        ], 
        "name": "Science Bulletin", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "16", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "58"
      }
    ], 
    "name": "The asymmetry of rainfall process", 
    "pagination": "1850-1856", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "93680f571a57a1f0724596d2fed56c5a412bb0e89cc6d8c99c82a0f387b6e236"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11434-012-5653-6"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1030942405"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11434-012-5653-6", 
      "https://app.dimensions.ai/details/publication/pub.1030942405"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T18:22", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8675_00000522.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs11434-012-5653-6"
  }
]
 

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/s11434-012-5653-6'

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/s11434-012-5653-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11434-012-5653-6'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11434-012-5653-6'


 

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

142 TRIPLES      21 PREDICATES      46 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11434-012-5653-6 schema:about anzsrc-for:04
2 anzsrc-for:0401
3 schema:author N4073ae43aa72439bb5d2450c3c557fb2
4 schema:citation sg:pub.10.1007/s00703-005-0125-z
5 sg:pub.10.1007/s00703-010-0094-8
6 sg:pub.10.1007/s11434-008-0195-7
7 sg:pub.10.1007/s11434-010-4241-x
8 sg:pub.10.1007/s13131-011-0104-9
9 sg:pub.10.1360/04wd0207
10 https://doi.org/10.1002/joc.1758
11 https://doi.org/10.1029/2006gl028129
12 https://doi.org/10.1029/2007gl030315
13 https://doi.org/10.1175/1520-0442(2004)017<0744:voteas>2.0.co;2
14 https://doi.org/10.1175/2009jcli3187.1
15 https://doi.org/10.1175/2010jcli3454.1
16 https://doi.org/10.1175/2010jcli3805.1
17 https://doi.org/10.1175/bams-84-9-1205
18 https://doi.org/10.1175/jcli-3318.1
19 https://doi.org/10.1175/jcli-d-11-00009.1
20 https://doi.org/10.1175/jcli-d-11-00656.1
21 https://doi.org/10.2151/jmsj.79.1119
22 https://doi.org/10.2151/jmsj.79.277
23 schema:datePublished 2013-06
24 schema:datePublishedReg 2013-06-01
25 schema:description Using hourly station rain gauge data in the warm season (May–October) during 1961–2006, the climatological features of the evolution of the rainfall process are analyzed by compositing rainfall events centered on the maximum hourly rainfall amount of each event. The results reveal that the rainfall process is asymmetric, which means rainfall events usually reach the maximum in a short period and then experience a relatively longer retreat to the end of the event. The effects of rainfall intensity, duration and peak time, as well as topography, are also considered. It is found that the asymmetry is more obvious in rainfall events with strong intensity and over areas with complex terrain, such as the eastern margin of the Tibetan Plateau, the Hengduan Mountains, and the Yungui Plateau. The asymmetry in short-duration rainfall is more obvious than that in long-duration rainfall, but the regional differences are weaker. The rainfall events that reach the maximum during 14:00–02:00 LST exhibit the strongest asymmetry and those during 08:00–14:00 LST show the weakest asymmetry. The rainfall intensity at the peak time stands out, which means that the rainfall intensity increases and decreases quickly both before and after the peak. These results can improve understanding of the rainfall process and provide metrics for the evaluation of climate models. Moreover, the strong asymmetry of the rainfall process should be highly noted when taking measures to defending against geological hazards, such as collapses, landslides and debris flows throughout southwestern China.
26 schema:genre research_article
27 schema:inLanguage en
28 schema:isAccessibleForFree true
29 schema:isPartOf N2ded4b88c18e4db983cfb45ce0a7174a
30 N31517c907aa7429aad5e79be042d3ceb
31 sg:journal.1051679
32 schema:name The asymmetry of rainfall process
33 schema:pagination 1850-1856
34 schema:productId N51ddd78ace544a1aa1c208e93f832602
35 Nbb90bf8c4341493781b28059a9796023
36 Ndda808fb63e34042b48d0798a9997f8d
37 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030942405
38 https://doi.org/10.1007/s11434-012-5653-6
39 schema:sdDatePublished 2019-04-10T18:22
40 schema:sdLicense https://scigraph.springernature.com/explorer/license/
41 schema:sdPublisher N53a74af657b7467c88f0630b14bf2953
42 schema:url http://link.springer.com/10.1007%2Fs11434-012-5653-6
43 sgo:license sg:explorer/license/
44 sgo:sdDataset articles
45 rdf:type schema:ScholarlyArticle
46 N296709947dc140ea8eb294870a19dad7 rdf:first sg:person.014634711503.63
47 rdf:rest N552af1b3845e4a939a2da380b9290924
48 N2ded4b88c18e4db983cfb45ce0a7174a schema:issueNumber 16
49 rdf:type schema:PublicationIssue
50 N31517c907aa7429aad5e79be042d3ceb schema:volumeNumber 58
51 rdf:type schema:PublicationVolume
52 N4073ae43aa72439bb5d2450c3c557fb2 rdf:first sg:person.015173077562.22
53 rdf:rest N296709947dc140ea8eb294870a19dad7
54 N51ddd78ace544a1aa1c208e93f832602 schema:name dimensions_id
55 schema:value pub.1030942405
56 rdf:type schema:PropertyValue
57 N53a74af657b7467c88f0630b14bf2953 schema:name Springer Nature - SN SciGraph project
58 rdf:type schema:Organization
59 N552af1b3845e4a939a2da380b9290924 rdf:first sg:person.012121147753.51
60 rdf:rest rdf:nil
61 Nbb90bf8c4341493781b28059a9796023 schema:name doi
62 schema:value 10.1007/s11434-012-5653-6
63 rdf:type schema:PropertyValue
64 Ndda808fb63e34042b48d0798a9997f8d schema:name readcube_id
65 schema:value 93680f571a57a1f0724596d2fed56c5a412bb0e89cc6d8c99c82a0f387b6e236
66 rdf:type schema:PropertyValue
67 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
68 schema:name Earth Sciences
69 rdf:type schema:DefinedTerm
70 anzsrc-for:0401 schema:inDefinedTermSet anzsrc-for:
71 schema:name Atmospheric Sciences
72 rdf:type schema:DefinedTerm
73 sg:journal.1051679 schema:issn 2095-9273
74 2095-9281
75 schema:name Science Bulletin
76 rdf:type schema:Periodical
77 sg:person.012121147753.51 schema:affiliation https://www.grid.ac/institutes/grid.8658.3
78 schema:familyName Li
79 schema:givenName Jian
80 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012121147753.51
81 rdf:type schema:Person
82 sg:person.014634711503.63 schema:affiliation https://www.grid.ac/institutes/grid.424023.3
83 schema:familyName Yuan
84 schema:givenName WeiHua
85 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014634711503.63
86 rdf:type schema:Person
87 sg:person.015173077562.22 schema:affiliation https://www.grid.ac/institutes/grid.8658.3
88 schema:familyName Yu
89 schema:givenName RuCong
90 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015173077562.22
91 rdf:type schema:Person
92 sg:pub.10.1007/s00703-005-0125-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1000599997
93 https://doi.org/10.1007/s00703-005-0125-z
94 rdf:type schema:CreativeWork
95 sg:pub.10.1007/s00703-010-0094-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035163707
96 https://doi.org/10.1007/s00703-010-0094-8
97 rdf:type schema:CreativeWork
98 sg:pub.10.1007/s11434-008-0195-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045739461
99 https://doi.org/10.1007/s11434-008-0195-7
100 rdf:type schema:CreativeWork
101 sg:pub.10.1007/s11434-010-4241-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1050698469
102 https://doi.org/10.1007/s11434-010-4241-x
103 rdf:type schema:CreativeWork
104 sg:pub.10.1007/s13131-011-0104-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031647149
105 https://doi.org/10.1007/s13131-011-0104-9
106 rdf:type schema:CreativeWork
107 sg:pub.10.1360/04wd0207 schema:sameAs https://app.dimensions.ai/details/publication/pub.1065069337
108 https://doi.org/10.1360/04wd0207
109 rdf:type schema:CreativeWork
110 https://doi.org/10.1002/joc.1758 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023075349
111 rdf:type schema:CreativeWork
112 https://doi.org/10.1029/2006gl028129 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002821455
113 rdf:type schema:CreativeWork
114 https://doi.org/10.1029/2007gl030315 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049862934
115 rdf:type schema:CreativeWork
116 https://doi.org/10.1175/1520-0442(2004)017<0744:voteas>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027820118
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1175/2009jcli3187.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001394334
119 rdf:type schema:CreativeWork
120 https://doi.org/10.1175/2010jcli3454.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012334808
121 rdf:type schema:CreativeWork
122 https://doi.org/10.1175/2010jcli3805.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044633317
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1175/bams-84-9-1205 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020798363
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1175/jcli-3318.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042831266
127 rdf:type schema:CreativeWork
128 https://doi.org/10.1175/jcli-d-11-00009.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051222738
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1175/jcli-d-11-00656.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063454938
131 rdf:type schema:CreativeWork
132 https://doi.org/10.2151/jmsj.79.1119 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036049287
133 rdf:type schema:CreativeWork
134 https://doi.org/10.2151/jmsj.79.277 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013731087
135 rdf:type schema:CreativeWork
136 https://www.grid.ac/institutes/grid.424023.3 schema:alternateName Institute of Atmospheric Physics
137 schema:name State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences, 100029, Beijing, China
138 rdf:type schema:Organization
139 https://www.grid.ac/institutes/grid.8658.3 schema:alternateName China Meteorological Administration
140 schema:name Dali National Climate Observatory, 671003, Dali, China
141 LaSW, Chinese Academy of Meteorological Sciences, China Meteorological Administration, 100081, Beijing, China
142 rdf:type schema:Organization
 




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


...