Regional variability of convection over northern India during the pre-monsoon season View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2011-01

AUTHORS

Soma Sen Roy, Shouraseni Sen Roy

ABSTRACT

In general, the overall differences in activity and timing of convection are a result of the influence of large-scale regional and synoptic flow patterns on the local mesoscale environment. The linkage between the space–time variability of observed clouds and rainfall, with large-scale circulation patterns and mesoscale variables over north India during the pre-monsoon season (March to May) is the focus of this paper. We use harmonic analysis to identify the first hour of rainfall for 42 stations spread over the north Indian region during the pre-monsoon summer season (March to May), from 1980 to 2000. The variability is observed to be systematic, with large regions having similar timing for occurrence of rainfall. The stations located in the foothills of the Himalayas have a late night to early morning maximum of first hour rainfall. In the northwestern plains, the first hour of rainfall mostly starts in the early afternoon to evening hours. Further eastward, the rainfall occurs in the late evening hours. Overall, there is a gradient in the occurrence of first rainfall events from late afternoon hours in the southern sections of the north Indian region to nocturnal maxima in the higher altitude regions. Five of these stations, located in different regions of homogenous timing of rainfall occurrence, were selected to analyze in detail the variable trigger for convection. Our results indicate that convective episodes occur mostly in association with the passage of westerly troughs over this region. These upper atmosphere troughs enable moisture to flow from the surrounding oceanic regions to the dry inland regions and also provide some dynamic support to the episodes of convection. However, the actual occurrence of convection is triggered by local factors, giving rise to the mesoscale structure of the weather systems during this season. Specifically, over the plains of northwest India, convection is triggered in a moistened environment by diurnal solar heating. The late night to early morning convection over the foothills is triggered by the orography, when the moistened airflow is normally incident on the mountain slopes. Further eastward, the primary trigger for localized moist convection is downdrafts from south-eastward propagating convective systems that originate at a north–south dry line over north India. These systems propagate with a speed of about 15 m s−1. The above results are supported by geostationary satellite brightness temperature data for March to May 2008. More... »

PAGES

145-158

References to SciGraph publications

  • 2009-05. Spatial variations in the diurnal patterns of winter precipitation in India in THEORETICAL AND APPLIED CLIMATOLOGY
  • 1994-02. Diurnal variation of Southwest monsoon rainfall at Indian stations in ADVANCES IN ATMOSPHERIC SCIENCES
  • 1973-06. Recent Rainfall Trends in Africa, the Middle East and India in NATURE
  • 1983-03. Radar observations of tornadoes and the field intensity of atmospherics in ARCHIVES FOR METEOROLOGY GEOPHYSICS AND BIOCLIMATOLOGY SERIES A
  • 1976-07. A note on mean thermodynamic instability of northern tropical atmosphere in PURE AND APPLIED GEOPHYSICS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00704-010-0289-4

    DOI

    http://dx.doi.org/10.1007/s00704-010-0289-4

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1010238970


    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": "India Meteorological Department", 
              "id": "https://www.grid.ac/institutes/grid.466772.6", 
              "name": [
                "India Meteorological Department, Lodhi Road, 110003, New Delhi, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Roy", 
            "givenName": "Soma Sen", 
            "id": "sg:person.011064426567.31", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011064426567.31"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Miami", 
              "id": "https://www.grid.ac/institutes/grid.26790.3a", 
              "name": [
                "Department of Geography and Regional Studies, University of Miami, Coral Gables, FL, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Roy", 
            "givenName": "Shouraseni Sen", 
            "id": "sg:person.07577634523.85", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07577634523.85"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1002/joc.1458", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000202574"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.atmosres.2007.10.008", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000443373"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2151/jmsj.79.333", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007389646"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/qj.49709841704", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010269051"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/1520-0493(1999)127<1777:oeotdc>2.0.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011088149"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/1520-0493(1993)121<0037:dvambe>2.0.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011441421"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/1520-0469(1980)037<0368:lftoas>2.0.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012144132"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/1520-0493(1988)116<1641:svitdc>2.0.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014641986"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/1520-0493(1979)107<1535:tdvofr>2.0.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016792457"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/met.19996103", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017348105"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/1520-0469(1999)056<0024:rbsamc>2.0.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017924849"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/243464a0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018289796", 
              "https://doi.org/10.1038/243464a0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/1520-0493(1985)113<1663:tdvodc>2.0.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019578644"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/joc.1567", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021912634"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1467-8306.1968.tb00646.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022046581"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/qj.106", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022145317"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/1520-0469(2002)059<2033:iopaww>2.0.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024652890"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/02693799008941549", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031783144"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/1520-0469(1978)035<1256:tlcogc>2.0.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033548223"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/2004jd005275", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033680881"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00875652", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033988125", 
              "https://doi.org/10.1007/bf00875652"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00875652", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033988125", 
              "https://doi.org/10.1007/bf00875652"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/1520-0450(1994)033<1445:scotdc>2.0.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036850060"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02272722", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038133323", 
              "https://doi.org/10.1007/bf02272722"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02272722", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038133323", 
              "https://doi.org/10.1007/bf02272722"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/2007gl031715", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038864121"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/1520-0493(1975)103<0406:dvipat>2.0.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039350163"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/mwr3355.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040509041"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/1520-0493(1985)113<0304:eotnmc>2.0.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043381592"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00704-008-0045-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044382159", 
              "https://doi.org/10.1007/s00704-008-0045-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00704-008-0045-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044382159", 
              "https://doi.org/10.1007/s00704-008-0045-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/2001jd001048", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045206215"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/1520-0493(1993)121<0021:aaotci>2.0.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045245395"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/1520-0469(1982)039<2211:faminm>2.0.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047314617"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/1520-0493(1981)109<1595:wmcitv>2.0.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048469141"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02657000", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050512284", 
              "https://doi.org/10.1007/bf02657000"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02657000", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050512284", 
              "https://doi.org/10.1007/bf02657000"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/qj.49707331709", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052627745"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2151/jmsj1965.61.1_60", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084902056"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2011-01", 
        "datePublishedReg": "2011-01-01", 
        "description": "In general, the overall differences in activity and timing of convection are a result of the influence of large-scale regional and synoptic flow patterns on the local mesoscale environment. The linkage between the space\u2013time variability of observed clouds and rainfall, with large-scale circulation patterns and mesoscale variables over north India during the pre-monsoon season (March to May) is the focus of this paper. We use harmonic analysis to identify the first hour of rainfall for 42 stations spread over the north Indian region during the pre-monsoon summer season (March to May), from 1980 to 2000. The variability is observed to be systematic, with large regions having similar timing for occurrence of rainfall. The stations located in the foothills of the Himalayas have a late night to early morning maximum of first hour rainfall. In the northwestern plains, the first hour of rainfall mostly starts in the early afternoon to evening hours. Further eastward, the rainfall occurs in the late evening hours. Overall, there is a gradient in the occurrence of first rainfall events from late afternoon hours in the southern sections of the north Indian region to nocturnal maxima in the higher altitude regions. Five of these stations, located in different regions of homogenous timing of rainfall occurrence, were selected to analyze in detail the variable trigger for convection. Our results indicate that convective episodes occur mostly in association with the passage of westerly troughs over this region. These upper atmosphere troughs enable moisture to flow from the surrounding oceanic regions to the dry inland regions and also provide some dynamic support to the episodes of convection. However, the actual occurrence of convection is triggered by local factors, giving rise to the mesoscale structure of the weather systems during this season. Specifically, over the plains of northwest India, convection is triggered in a moistened environment by diurnal solar heating. The late night to early morning convection over the foothills is triggered by the orography, when the moistened airflow is normally incident on the mountain slopes. Further eastward, the primary trigger for localized moist convection is downdrafts from south-eastward propagating convective systems that originate at a north\u2013south dry line over north India. These systems propagate with a speed of about 15 m s\u22121. The above results are supported by geostationary satellite brightness temperature data for March to May 2008.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s00704-010-0289-4", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1086664", 
            "issn": [
              "0177-798X", 
              "1434-4483"
            ], 
            "name": "Theoretical and Applied Climatology", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1-2", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "103"
          }
        ], 
        "name": "Regional variability of convection over northern India during the pre-monsoon season", 
        "pagination": "145-158", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "30c77bc9ceaf61dfcd6ba08a4284f53a593aebaff4dc28d29e24786dcc1e29c5"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s00704-010-0289-4"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1010238970"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s00704-010-0289-4", 
          "https://app.dimensions.ai/details/publication/pub.1010238970"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T10:30", 
        "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/v90/0000000349_0000000349/records_113647_00000000.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1007/s00704-010-0289-4"
      }
    ]
     

    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/s00704-010-0289-4'

    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/s00704-010-0289-4'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00704-010-0289-4'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00704-010-0289-4'


     

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

    181 TRIPLES      21 PREDICATES      62 URIs      19 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s00704-010-0289-4 schema:about anzsrc-for:04
    2 anzsrc-for:0401
    3 schema:author Ndd685bb36b774e54a7be936a2b9a3e65
    4 schema:citation sg:pub.10.1007/bf00875652
    5 sg:pub.10.1007/bf02272722
    6 sg:pub.10.1007/bf02657000
    7 sg:pub.10.1007/s00704-008-0045-1
    8 sg:pub.10.1038/243464a0
    9 https://doi.org/10.1002/joc.1458
    10 https://doi.org/10.1002/joc.1567
    11 https://doi.org/10.1002/met.19996103
    12 https://doi.org/10.1002/qj.106
    13 https://doi.org/10.1002/qj.49707331709
    14 https://doi.org/10.1002/qj.49709841704
    15 https://doi.org/10.1016/j.atmosres.2007.10.008
    16 https://doi.org/10.1029/2001jd001048
    17 https://doi.org/10.1029/2004jd005275
    18 https://doi.org/10.1029/2007gl031715
    19 https://doi.org/10.1080/02693799008941549
    20 https://doi.org/10.1111/j.1467-8306.1968.tb00646.x
    21 https://doi.org/10.1175/1520-0450(1994)033<1445:scotdc>2.0.co;2
    22 https://doi.org/10.1175/1520-0469(1978)035<1256:tlcogc>2.0.co;2
    23 https://doi.org/10.1175/1520-0469(1980)037<0368:lftoas>2.0.co;2
    24 https://doi.org/10.1175/1520-0469(1982)039<2211:faminm>2.0.co;2
    25 https://doi.org/10.1175/1520-0469(1999)056<0024:rbsamc>2.0.co;2
    26 https://doi.org/10.1175/1520-0469(2002)059<2033:iopaww>2.0.co;2
    27 https://doi.org/10.1175/1520-0493(1975)103<0406:dvipat>2.0.co;2
    28 https://doi.org/10.1175/1520-0493(1979)107<1535:tdvofr>2.0.co;2
    29 https://doi.org/10.1175/1520-0493(1981)109<1595:wmcitv>2.0.co;2
    30 https://doi.org/10.1175/1520-0493(1985)113<0304:eotnmc>2.0.co;2
    31 https://doi.org/10.1175/1520-0493(1985)113<1663:tdvodc>2.0.co;2
    32 https://doi.org/10.1175/1520-0493(1988)116<1641:svitdc>2.0.co;2
    33 https://doi.org/10.1175/1520-0493(1993)121<0021:aaotci>2.0.co;2
    34 https://doi.org/10.1175/1520-0493(1993)121<0037:dvambe>2.0.co;2
    35 https://doi.org/10.1175/1520-0493(1999)127<1777:oeotdc>2.0.co;2
    36 https://doi.org/10.1175/mwr3355.1
    37 https://doi.org/10.2151/jmsj.79.333
    38 https://doi.org/10.2151/jmsj1965.61.1_60
    39 schema:datePublished 2011-01
    40 schema:datePublishedReg 2011-01-01
    41 schema:description In general, the overall differences in activity and timing of convection are a result of the influence of large-scale regional and synoptic flow patterns on the local mesoscale environment. The linkage between the space–time variability of observed clouds and rainfall, with large-scale circulation patterns and mesoscale variables over north India during the pre-monsoon season (March to May) is the focus of this paper. We use harmonic analysis to identify the first hour of rainfall for 42 stations spread over the north Indian region during the pre-monsoon summer season (March to May), from 1980 to 2000. The variability is observed to be systematic, with large regions having similar timing for occurrence of rainfall. The stations located in the foothills of the Himalayas have a late night to early morning maximum of first hour rainfall. In the northwestern plains, the first hour of rainfall mostly starts in the early afternoon to evening hours. Further eastward, the rainfall occurs in the late evening hours. Overall, there is a gradient in the occurrence of first rainfall events from late afternoon hours in the southern sections of the north Indian region to nocturnal maxima in the higher altitude regions. Five of these stations, located in different regions of homogenous timing of rainfall occurrence, were selected to analyze in detail the variable trigger for convection. Our results indicate that convective episodes occur mostly in association with the passage of westerly troughs over this region. These upper atmosphere troughs enable moisture to flow from the surrounding oceanic regions to the dry inland regions and also provide some dynamic support to the episodes of convection. However, the actual occurrence of convection is triggered by local factors, giving rise to the mesoscale structure of the weather systems during this season. Specifically, over the plains of northwest India, convection is triggered in a moistened environment by diurnal solar heating. The late night to early morning convection over the foothills is triggered by the orography, when the moistened airflow is normally incident on the mountain slopes. Further eastward, the primary trigger for localized moist convection is downdrafts from south-eastward propagating convective systems that originate at a north–south dry line over north India. These systems propagate with a speed of about 15 m s−1. The above results are supported by geostationary satellite brightness temperature data for March to May 2008.
    42 schema:genre research_article
    43 schema:inLanguage en
    44 schema:isAccessibleForFree false
    45 schema:isPartOf N4c72f3fad317407e95e30041c40ed34a
    46 Nc40e896824a344a7871db4dd1e5c04d6
    47 sg:journal.1086664
    48 schema:name Regional variability of convection over northern India during the pre-monsoon season
    49 schema:pagination 145-158
    50 schema:productId N5a3302b555074e08bd17b86a64dfd76e
    51 N69fdcaef7cf4494da09eec3f794c54e0
    52 N78555e62c3f241f990459e866bbd7c7f
    53 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010238970
    54 https://doi.org/10.1007/s00704-010-0289-4
    55 schema:sdDatePublished 2019-04-11T10:30
    56 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    57 schema:sdPublisher N0702dc6a686d4d40b39b5076d582fd80
    58 schema:url http://link.springer.com/10.1007/s00704-010-0289-4
    59 sgo:license sg:explorer/license/
    60 sgo:sdDataset articles
    61 rdf:type schema:ScholarlyArticle
    62 N0702dc6a686d4d40b39b5076d582fd80 schema:name Springer Nature - SN SciGraph project
    63 rdf:type schema:Organization
    64 N4c72f3fad317407e95e30041c40ed34a schema:volumeNumber 103
    65 rdf:type schema:PublicationVolume
    66 N5a3302b555074e08bd17b86a64dfd76e schema:name readcube_id
    67 schema:value 30c77bc9ceaf61dfcd6ba08a4284f53a593aebaff4dc28d29e24786dcc1e29c5
    68 rdf:type schema:PropertyValue
    69 N69fdcaef7cf4494da09eec3f794c54e0 schema:name doi
    70 schema:value 10.1007/s00704-010-0289-4
    71 rdf:type schema:PropertyValue
    72 N78555e62c3f241f990459e866bbd7c7f schema:name dimensions_id
    73 schema:value pub.1010238970
    74 rdf:type schema:PropertyValue
    75 Nc40e896824a344a7871db4dd1e5c04d6 schema:issueNumber 1-2
    76 rdf:type schema:PublicationIssue
    77 Ndacf1f7b424846008d5b678ed6a138df rdf:first sg:person.07577634523.85
    78 rdf:rest rdf:nil
    79 Ndd685bb36b774e54a7be936a2b9a3e65 rdf:first sg:person.011064426567.31
    80 rdf:rest Ndacf1f7b424846008d5b678ed6a138df
    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.1086664 schema:issn 0177-798X
    88 1434-4483
    89 schema:name Theoretical and Applied Climatology
    90 rdf:type schema:Periodical
    91 sg:person.011064426567.31 schema:affiliation https://www.grid.ac/institutes/grid.466772.6
    92 schema:familyName Roy
    93 schema:givenName Soma Sen
    94 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011064426567.31
    95 rdf:type schema:Person
    96 sg:person.07577634523.85 schema:affiliation https://www.grid.ac/institutes/grid.26790.3a
    97 schema:familyName Roy
    98 schema:givenName Shouraseni Sen
    99 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07577634523.85
    100 rdf:type schema:Person
    101 sg:pub.10.1007/bf00875652 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033988125
    102 https://doi.org/10.1007/bf00875652
    103 rdf:type schema:CreativeWork
    104 sg:pub.10.1007/bf02272722 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038133323
    105 https://doi.org/10.1007/bf02272722
    106 rdf:type schema:CreativeWork
    107 sg:pub.10.1007/bf02657000 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050512284
    108 https://doi.org/10.1007/bf02657000
    109 rdf:type schema:CreativeWork
    110 sg:pub.10.1007/s00704-008-0045-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044382159
    111 https://doi.org/10.1007/s00704-008-0045-1
    112 rdf:type schema:CreativeWork
    113 sg:pub.10.1038/243464a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018289796
    114 https://doi.org/10.1038/243464a0
    115 rdf:type schema:CreativeWork
    116 https://doi.org/10.1002/joc.1458 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000202574
    117 rdf:type schema:CreativeWork
    118 https://doi.org/10.1002/joc.1567 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021912634
    119 rdf:type schema:CreativeWork
    120 https://doi.org/10.1002/met.19996103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017348105
    121 rdf:type schema:CreativeWork
    122 https://doi.org/10.1002/qj.106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022145317
    123 rdf:type schema:CreativeWork
    124 https://doi.org/10.1002/qj.49707331709 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052627745
    125 rdf:type schema:CreativeWork
    126 https://doi.org/10.1002/qj.49709841704 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010269051
    127 rdf:type schema:CreativeWork
    128 https://doi.org/10.1016/j.atmosres.2007.10.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000443373
    129 rdf:type schema:CreativeWork
    130 https://doi.org/10.1029/2001jd001048 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045206215
    131 rdf:type schema:CreativeWork
    132 https://doi.org/10.1029/2004jd005275 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033680881
    133 rdf:type schema:CreativeWork
    134 https://doi.org/10.1029/2007gl031715 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038864121
    135 rdf:type schema:CreativeWork
    136 https://doi.org/10.1080/02693799008941549 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031783144
    137 rdf:type schema:CreativeWork
    138 https://doi.org/10.1111/j.1467-8306.1968.tb00646.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1022046581
    139 rdf:type schema:CreativeWork
    140 https://doi.org/10.1175/1520-0450(1994)033<1445:scotdc>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036850060
    141 rdf:type schema:CreativeWork
    142 https://doi.org/10.1175/1520-0469(1978)035<1256:tlcogc>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033548223
    143 rdf:type schema:CreativeWork
    144 https://doi.org/10.1175/1520-0469(1980)037<0368:lftoas>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012144132
    145 rdf:type schema:CreativeWork
    146 https://doi.org/10.1175/1520-0469(1982)039<2211:faminm>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047314617
    147 rdf:type schema:CreativeWork
    148 https://doi.org/10.1175/1520-0469(1999)056<0024:rbsamc>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017924849
    149 rdf:type schema:CreativeWork
    150 https://doi.org/10.1175/1520-0469(2002)059<2033:iopaww>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024652890
    151 rdf:type schema:CreativeWork
    152 https://doi.org/10.1175/1520-0493(1975)103<0406:dvipat>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039350163
    153 rdf:type schema:CreativeWork
    154 https://doi.org/10.1175/1520-0493(1979)107<1535:tdvofr>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016792457
    155 rdf:type schema:CreativeWork
    156 https://doi.org/10.1175/1520-0493(1981)109<1595:wmcitv>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048469141
    157 rdf:type schema:CreativeWork
    158 https://doi.org/10.1175/1520-0493(1985)113<0304:eotnmc>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043381592
    159 rdf:type schema:CreativeWork
    160 https://doi.org/10.1175/1520-0493(1985)113<1663:tdvodc>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019578644
    161 rdf:type schema:CreativeWork
    162 https://doi.org/10.1175/1520-0493(1988)116<1641:svitdc>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014641986
    163 rdf:type schema:CreativeWork
    164 https://doi.org/10.1175/1520-0493(1993)121<0021:aaotci>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045245395
    165 rdf:type schema:CreativeWork
    166 https://doi.org/10.1175/1520-0493(1993)121<0037:dvambe>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011441421
    167 rdf:type schema:CreativeWork
    168 https://doi.org/10.1175/1520-0493(1999)127<1777:oeotdc>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011088149
    169 rdf:type schema:CreativeWork
    170 https://doi.org/10.1175/mwr3355.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040509041
    171 rdf:type schema:CreativeWork
    172 https://doi.org/10.2151/jmsj.79.333 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007389646
    173 rdf:type schema:CreativeWork
    174 https://doi.org/10.2151/jmsj1965.61.1_60 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084902056
    175 rdf:type schema:CreativeWork
    176 https://www.grid.ac/institutes/grid.26790.3a schema:alternateName University of Miami
    177 schema:name Department of Geography and Regional Studies, University of Miami, Coral Gables, FL, USA
    178 rdf:type schema:Organization
    179 https://www.grid.ac/institutes/grid.466772.6 schema:alternateName India Meteorological Department
    180 schema:name India Meteorological Department, Lodhi Road, 110003, New Delhi, India
    181 rdf:type schema:Organization
     




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


    ...