Changes in the diurnal cycles of precipitation over eastern China in the past 40 years View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2013-03

AUTHORS

Weihua Yuan, Rucong Yu, Jian Li

ABSTRACT

This study analyzed the interdecadal changes in the diurnal variability of summer (June–August) precipitation over eastern China during the period 1966–2005 using hourly station rain gauge data. The results revealed that rainfall diurnal variations experienced significant interdecadal changes. Over the area to the south of the Yangtze River, as well as the area between the Yangtze and Yellow Rivers, the percentages of morning rainfall (0000–1200 LST) to total rainfall in terms of amount, frequency and intensity, all exhibited increasing interdecadal trends. On the contrary, over North China, decreasing trends were found. As a result, diurnal rainfall peaks also presented pronounced interdecadal variations. Over the area between the Yangtze and Yellow Rivers, there were 16 out of 46 stations with afternoon (1200–0000 LST) frequency peaks in the first 20 years of the 40-year period of study, while only eight remained in the latter 20 years. In North China, seven stations experienced the opposite changes, which accounted for about 21% of the total number of stations. The possible causes for the interdecadal changes in diurnal features were discussed. As the rainfall in the active monsoon period presents morning diurnal peaks, with afternoon peaks in the break period, the decrease (increase) of rainfall in the active monsoon period over North China (the area south of the Yangtze River and the area between the Yangtze and Yellow Rivers) may contribute to interdecadal changes in diurnal rainfall variability. More... »

PAGES

461-467

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00376-012-2092-x

DOI

http://dx.doi.org/10.1007/s00376-012-2092-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1030971224


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/2008/0406", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Physical Geography and Environmental Geoscience", 
        "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": "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, 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": [
            "State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, 100029, Beijing, China", 
            "State Key Laboratory of Severe Weather, 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": "China Meteorological Administration", 
          "id": "https://www.grid.ac/institutes/grid.8658.3", 
          "name": [
            "State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, China Meteorological Administration, 100081, Beijing, China", 
            "Dali National Climate Observatory, 671003, Yunnan, 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": "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/10.1029/2008jd011103", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006208230"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2008jd011103", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006208230"
        ], 
        "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/10.1029/2004gl021270", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015016053"
        ], 
        "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/10.1080/16742834.2009.11446785", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025532876"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/97jd01052", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031691926"
        ], 
        "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/10.1175/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": "https://doi.org/10.1175/1520-0442(2002)015<0983:dvotrr>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048157220"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2007gl030315", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049862934"
        ], 
        "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/10.2151/sola.2007-016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051837050"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00376-998-0028-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053612505", 
          "https://doi.org/10.1007/s00376-998-0028-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00376-998-0028-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053612505", 
          "https://doi.org/10.1007/s00376-998-0028-2"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013-03", 
    "datePublishedReg": "2013-03-01", 
    "description": "This study analyzed the interdecadal changes in the diurnal variability of summer (June\u2013August) precipitation over eastern China during the period 1966\u20132005 using hourly station rain gauge data. The results revealed that rainfall diurnal variations experienced significant interdecadal changes. Over the area to the south of the Yangtze River, as well as the area between the Yangtze and Yellow Rivers, the percentages of morning rainfall (0000\u20131200 LST) to total rainfall in terms of amount, frequency and intensity, all exhibited increasing interdecadal trends. On the contrary, over North China, decreasing trends were found. As a result, diurnal rainfall peaks also presented pronounced interdecadal variations. Over the area between the Yangtze and Yellow Rivers, there were 16 out of 46 stations with afternoon (1200\u20130000 LST) frequency peaks in the first 20 years of the 40-year period of study, while only eight remained in the latter 20 years. In North China, seven stations experienced the opposite changes, which accounted for about 21% of the total number of stations. The possible causes for the interdecadal changes in diurnal features were discussed. As the rainfall in the active monsoon period presents morning diurnal peaks, with afternoon peaks in the break period, the decrease (increase) of rainfall in the active monsoon period over North China (the area south of the Yangtze River and the area between the Yangtze and Yellow Rivers) may contribute to interdecadal changes in diurnal rainfall variability.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00376-012-2092-x", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1135901", 
        "issn": [
          "0256-1530", 
          "1861-9533"
        ], 
        "name": "Advances in Atmospheric Sciences", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "30"
      }
    ], 
    "name": "Changes in the diurnal cycles of precipitation over eastern China in the past 40 years", 
    "pagination": "461-467", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "938b9960599cadc9e0d3086e5de254214dd59863ba1e3b705d586ea01f1ba676"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00376-012-2092-x"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1030971224"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00376-012-2092-x", 
      "https://app.dimensions.ai/details/publication/pub.1030971224"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T17:24", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8672_00000481.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s00376-012-2092-x"
  }
]
 

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/s00376-012-2092-x'

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/s00376-012-2092-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00376-012-2092-x'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00376-012-2092-x'


 

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

129 TRIPLES      21 PREDICATES      43 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00376-012-2092-x schema:about anzsrc-for:04
2 anzsrc-for:0406
3 schema:author N6f4ec092c780402fbe6d488c03eabe5b
4 schema:citation sg:pub.10.1007/s00376-998-0028-2
5 https://doi.org/10.1002/joc.1758
6 https://doi.org/10.1029/2004gl021270
7 https://doi.org/10.1029/2006gl028129
8 https://doi.org/10.1029/2007gl030315
9 https://doi.org/10.1029/2008jd011103
10 https://doi.org/10.1029/97jd01052
11 https://doi.org/10.1080/16742834.2009.11446785
12 https://doi.org/10.1126/science.1075159
13 https://doi.org/10.1175/1520-0442(2002)015<0983:dvotrr>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/jcli-3318.1
18 https://doi.org/10.1175/jcli-d-11-00009.1
19 https://doi.org/10.2151/sola.2007-016
20 schema:datePublished 2013-03
21 schema:datePublishedReg 2013-03-01
22 schema:description This study analyzed the interdecadal changes in the diurnal variability of summer (June–August) precipitation over eastern China during the period 1966–2005 using hourly station rain gauge data. The results revealed that rainfall diurnal variations experienced significant interdecadal changes. Over the area to the south of the Yangtze River, as well as the area between the Yangtze and Yellow Rivers, the percentages of morning rainfall (0000–1200 LST) to total rainfall in terms of amount, frequency and intensity, all exhibited increasing interdecadal trends. On the contrary, over North China, decreasing trends were found. As a result, diurnal rainfall peaks also presented pronounced interdecadal variations. Over the area between the Yangtze and Yellow Rivers, there were 16 out of 46 stations with afternoon (1200–0000 LST) frequency peaks in the first 20 years of the 40-year period of study, while only eight remained in the latter 20 years. In North China, seven stations experienced the opposite changes, which accounted for about 21% of the total number of stations. The possible causes for the interdecadal changes in diurnal features were discussed. As the rainfall in the active monsoon period presents morning diurnal peaks, with afternoon peaks in the break period, the decrease (increase) of rainfall in the active monsoon period over North China (the area south of the Yangtze River and the area between the Yangtze and Yellow Rivers) may contribute to interdecadal changes in diurnal rainfall variability.
23 schema:genre research_article
24 schema:inLanguage en
25 schema:isAccessibleForFree false
26 schema:isPartOf Nb4ce3df41f0e47d3b5c5a8bd2f454062
27 Nbaaf5897e612464bbf1a1a4ed3175b7b
28 sg:journal.1135901
29 schema:name Changes in the diurnal cycles of precipitation over eastern China in the past 40 years
30 schema:pagination 461-467
31 schema:productId N24fbd102b5654e6ca78c7079ad8a128f
32 N9ef469dac202427fbb97e27e1a342c91
33 Nc1a40aaa5d5f4188be2e2cb9b49d5753
34 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030971224
35 https://doi.org/10.1007/s00376-012-2092-x
36 schema:sdDatePublished 2019-04-10T17:24
37 schema:sdLicense https://scigraph.springernature.com/explorer/license/
38 schema:sdPublisher Nd77fae2f0ea049e6a5bc482b9fac8fad
39 schema:url http://link.springer.com/10.1007/s00376-012-2092-x
40 sgo:license sg:explorer/license/
41 sgo:sdDataset articles
42 rdf:type schema:ScholarlyArticle
43 N24fbd102b5654e6ca78c7079ad8a128f schema:name dimensions_id
44 schema:value pub.1030971224
45 rdf:type schema:PropertyValue
46 N6f4ec092c780402fbe6d488c03eabe5b rdf:first sg:person.014634711503.63
47 rdf:rest Nc2c850602d5c4eff87b79f38e58fbc7e
48 N9ef469dac202427fbb97e27e1a342c91 schema:name doi
49 schema:value 10.1007/s00376-012-2092-x
50 rdf:type schema:PropertyValue
51 Nb4ce3df41f0e47d3b5c5a8bd2f454062 schema:issueNumber 2
52 rdf:type schema:PublicationIssue
53 Nbaaf5897e612464bbf1a1a4ed3175b7b schema:volumeNumber 30
54 rdf:type schema:PublicationVolume
55 Nc1a40aaa5d5f4188be2e2cb9b49d5753 schema:name readcube_id
56 schema:value 938b9960599cadc9e0d3086e5de254214dd59863ba1e3b705d586ea01f1ba676
57 rdf:type schema:PropertyValue
58 Nc2c850602d5c4eff87b79f38e58fbc7e rdf:first sg:person.015173077562.22
59 rdf:rest Ne143498e4fe84f988109978de65679b9
60 Nd77fae2f0ea049e6a5bc482b9fac8fad schema:name Springer Nature - SN SciGraph project
61 rdf:type schema:Organization
62 Ne143498e4fe84f988109978de65679b9 rdf:first sg:person.012121147753.51
63 rdf:rest rdf:nil
64 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
65 schema:name Earth Sciences
66 rdf:type schema:DefinedTerm
67 anzsrc-for:0406 schema:inDefinedTermSet anzsrc-for:
68 schema:name Physical Geography and Environmental Geoscience
69 rdf:type schema:DefinedTerm
70 sg:journal.1135901 schema:issn 0256-1530
71 1861-9533
72 schema:name Advances in Atmospheric Sciences
73 rdf:type schema:Periodical
74 sg:person.012121147753.51 schema:affiliation https://www.grid.ac/institutes/grid.8658.3
75 schema:familyName Li
76 schema:givenName Jian
77 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012121147753.51
78 rdf:type schema:Person
79 sg:person.014634711503.63 schema:affiliation https://www.grid.ac/institutes/grid.424023.3
80 schema:familyName Yuan
81 schema:givenName Weihua
82 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014634711503.63
83 rdf:type schema:Person
84 sg:person.015173077562.22 schema:affiliation https://www.grid.ac/institutes/grid.8658.3
85 schema:familyName Yu
86 schema:givenName Rucong
87 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015173077562.22
88 rdf:type schema:Person
89 sg:pub.10.1007/s00376-998-0028-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053612505
90 https://doi.org/10.1007/s00376-998-0028-2
91 rdf:type schema:CreativeWork
92 https://doi.org/10.1002/joc.1758 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023075349
93 rdf:type schema:CreativeWork
94 https://doi.org/10.1029/2004gl021270 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015016053
95 rdf:type schema:CreativeWork
96 https://doi.org/10.1029/2006gl028129 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002821455
97 rdf:type schema:CreativeWork
98 https://doi.org/10.1029/2007gl030315 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049862934
99 rdf:type schema:CreativeWork
100 https://doi.org/10.1029/2008jd011103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006208230
101 rdf:type schema:CreativeWork
102 https://doi.org/10.1029/97jd01052 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031691926
103 rdf:type schema:CreativeWork
104 https://doi.org/10.1080/16742834.2009.11446785 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025532876
105 rdf:type schema:CreativeWork
106 https://doi.org/10.1126/science.1075159 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040067144
107 rdf:type schema:CreativeWork
108 https://doi.org/10.1175/1520-0442(2002)015<0983:dvotrr>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048157220
109 rdf:type schema:CreativeWork
110 https://doi.org/10.1175/2009jcli3187.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001394334
111 rdf:type schema:CreativeWork
112 https://doi.org/10.1175/2010jcli3454.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012334808
113 rdf:type schema:CreativeWork
114 https://doi.org/10.1175/2010jcli3805.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044633317
115 rdf:type schema:CreativeWork
116 https://doi.org/10.1175/jcli-3318.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042831266
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1175/jcli-d-11-00009.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051222738
119 rdf:type schema:CreativeWork
120 https://doi.org/10.2151/sola.2007-016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051837050
121 rdf:type schema:CreativeWork
122 https://www.grid.ac/institutes/grid.424023.3 schema:alternateName Institute of Atmospheric Physics
123 schema:name State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, 100029, Beijing, China
124 rdf:type schema:Organization
125 https://www.grid.ac/institutes/grid.8658.3 schema:alternateName China Meteorological Administration
126 schema:name Dali National Climate Observatory, 671003, Yunnan, China
127 State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, 100029, Beijing, China
128 State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, China Meteorological Administration, 100081, Beijing, China
129 rdf:type schema:Organization
 




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


...