Characteristics of Observed Meteorological Drought and its Linkage with Low-Level Easterly Wind Over India View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-02-11

AUTHORS

Sunny Kumar, Praveen Kumar, Archisman Barat, Ashutosh K. Sinha, P. Parth Sarthi, Prabhat Ranjan, K. K. Singh

ABSTRACT

Meteorological drought in India arises due to significant deficiency of rainfall for abnormal periods over an area. The large spatial and temporal variability of Indian summer monsoon rainfall (ISMR) over the Eastern Gangetic Plain (EGP) of India triggers meteorological drought (further leading to agricultural and hydrological drought), with widespread effects on both agricultural production and water resources over the area. To assess meteorological drought over agro-climatic zones of the states of Uttar Pradesh (UP), Bihar and West Bengal (WB) in the EGP, high-resolution gridded rainfall data (1961–2013) at resolution of 0.25° × 0.25° of India Meteorological Department (IMD) and u, v wind at 850 hPa at resolution of 0.25 × 0.25° of ERA-40 (1961–2002) of the European Centre for Medium-Range Weather Forecasts (ECMWF) is considered. Over the agro-climatic zones, the seasonality index (SI) of summer monsoon rainfall, spatial and temporal distribution of the 4-month Standardized Precipitation Index (SPI-4), frequency and probability of drought occurrence is estimated. The severe drought-prone zones are found to be over agro-climatic zones 6, 8 and 10 of UP; 1, 2 and 3B of Bihar with more than 50% probability of drought occurrence. At a 95% confidence level, a significant decrease in rainfall (for the period 1961–2013) is found over these zones. Over the EGP, a low-level easterly wind at 850 hPa in July is shifted towards foothills of the Himalaya, while in August it is weakened during drought conditions. This low-level easterly wind may be responsible for less moisture incursion over the Gangetic Plain from the Bay of Bengal, and may be the probable cause of less rainfall over the EGP, leading to meteorological drought. More... »

PAGES

2679-2696

References to SciGraph publications

  • 2015-04-17. Possible future rainfall over Gangetic Plains (GP), India, in multi-model simulations of CMIP3 and CMIP5 in THEORETICAL AND APPLIED CLIMATOLOGY
  • 2004-06. Spatial variability and rainfall characteristics of Kerala in JOURNAL OF EARTH SYSTEM SCIENCE
  • 2011-06-09. District-wide drought climatology of the southwest monsoon season over India based on standardized precipitation index (SPI) in NATURAL HAZARDS
  • 2015-06-16. Drying of Indian subcontinent by rapid Indian Ocean warming and a weakening land-sea thermal gradient in NATURE COMMUNICATIONS
  • 2017-01-31. Impact of drought on agriculture in the Indo-Gangetic Plain, India in ADVANCES IN ATMOSPHERIC SCIENCES
  • 2011-06-29. Regional Frequency Analysis of Droughts in Portugal in WATER RESOURCES MANAGEMENT
  • 1991-10. Forcing mechanisms of the Indian Ocean monsoon in NATURE
  • 2017-03-15. Droughts in India from 1981 to 2013 and Implications to Wheat Production in SCIENTIFIC REPORTS
  • 2000. Desiccation in the Sahel in LINKING CLIMATE CHANGE TO LAND SURFACE CHANGE
  • 2004-03-11. A methodology to classify extreme rainfall events in the western mediterranean area in THEORETICAL AND APPLIED CLIMATOLOGY
  • 1993. The Enigma of Drought in DROUGHT ASSESSMENT, MANAGEMENT, AND PLANNING: THEORY AND CASE STUDIES
  • 2014-08-29. Analysis of the daily rainfall events over India using a new long period (1901–2010) high resolution (0.25° × 0.25°) gridded rainfall data set in CLIMATE DYNAMICS
  • 2018-02-23. Identification of Drought Occurrences Using Ensemble Predictions up to 20-Days in Advance in WATER RESOURCES MANAGEMENT
  • 1999-09. Coupled ocean–atmosphere dynamics in the Indian Ocean during 1997–98 in NATURE
  • 1980-07. Some aspects of the large scale fluctuations of summer monsoon rainfall over India in relation to fluctuations in the planetary and regional scale circulation parameters in JOURNAL OF EARTH SYSTEM SCIENCE
  • 2014-03-11. Global integrated drought monitoring and prediction system in SCIENTIFIC DATA
  • 2013-06-14. Detecting changes in rainfall pattern and seasonality index vis-à-vis increasing water scarcity in Maharashtra in JOURNAL OF EARTH SYSTEM SCIENCE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00024-019-02118-2

    DOI

    http://dx.doi.org/10.1007/s00024-019-02118-2

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1112066529


    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/2008/04", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Earth Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "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"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Department of Environmental Sciences, Central University of South Bihar, 824236, Gaya, Bihar, India", 
              "id": "http://www.grid.ac/institutes/grid.448755.f", 
              "name": [
                "Department of Environmental Sciences, Central University of South Bihar, 824236, Gaya, Bihar, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kumar", 
            "givenName": "Sunny", 
            "id": "sg:person.010022207676.93", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010022207676.93"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Environmental Sciences, Central University of South Bihar, 824236, Gaya, Bihar, India", 
              "id": "http://www.grid.ac/institutes/grid.448755.f", 
              "name": [
                "Department of Environmental Sciences, Central University of South Bihar, 824236, Gaya, Bihar, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kumar", 
            "givenName": "Praveen", 
            "id": "sg:person.010630726614.78", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010630726614.78"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Environmental Sciences, Central University of South Bihar, 824236, Gaya, Bihar, India", 
              "id": "http://www.grid.ac/institutes/grid.448755.f", 
              "name": [
                "Department of Environmental Sciences, Central University of South Bihar, 824236, Gaya, Bihar, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Barat", 
            "givenName": "Archisman", 
            "id": "sg:person.016525261076.03", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016525261076.03"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Environmental Sciences, Central University of South Bihar, 824236, Gaya, Bihar, India", 
              "id": "http://www.grid.ac/institutes/grid.448755.f", 
              "name": [
                "Department of Environmental Sciences, Central University of South Bihar, 824236, Gaya, Bihar, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Sinha", 
            "givenName": "Ashutosh K.", 
            "id": "sg:person.011676407563.83", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011676407563.83"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Environmental Sciences, Central University of South Bihar, 824236, Gaya, Bihar, India", 
              "id": "http://www.grid.ac/institutes/grid.448755.f", 
              "name": [
                "Department of Environmental Sciences, Central University of South Bihar, 824236, Gaya, Bihar, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Sarthi", 
            "givenName": "P. Parth", 
            "id": "sg:person.016270210040.67", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016270210040.67"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Computer Science, Central University of South Bihar, Gaya, India", 
              "id": "http://www.grid.ac/institutes/grid.448755.f", 
              "name": [
                "Department of Computer Science, Central University of South Bihar, Gaya, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ranjan", 
            "givenName": "Prabhat", 
            "id": "sg:person.013130226241.73", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013130226241.73"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Agromet, India Meteorological Department, New Delhi, India", 
              "id": "http://www.grid.ac/institutes/grid.466772.6", 
              "name": [
                "Agromet, India Meteorological Department, New Delhi, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Singh", 
            "givenName": "K. K.", 
            "id": "sg:person.011166642362.25", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011166642362.25"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1038/ncomms8423", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015699892", 
              "https://doi.org/10.1038/ncomms8423"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-4615-3224-8_1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012210591", 
              "https://doi.org/10.1007/978-1-4615-3224-8_1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12040-013-0294-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009924105", 
              "https://doi.org/10.1007/s12040-013-0294-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/srep44552", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084132437", 
              "https://doi.org/10.1038/srep44552"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00382-014-2307-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025041910", 
              "https://doi.org/10.1007/s00382-014-2307-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11069-011-9867-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019100351", 
              "https://doi.org/10.1007/s11069-011-9867-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/sdata.2014.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035846398", 
              "https://doi.org/10.1038/sdata.2014.1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11269-011-9869-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013355972", 
              "https://doi.org/10.1007/s11269-011-9869-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11269-018-1921-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101170389", 
              "https://doi.org/10.1007/s11269-018-1921-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00376-016-6102-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1074245940", 
              "https://doi.org/10.1007/s00376-016-6102-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/43848", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043900608", 
              "https://doi.org/10.1038/43848"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02913749", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052907489", 
              "https://doi.org/10.1007/bf02913749"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02709788", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014904026", 
              "https://doi.org/10.1007/bf02709788"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/0-306-48086-7_2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034563593", 
              "https://doi.org/10.1007/0-306-48086-7_2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00704-003-0003-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005747510", 
              "https://doi.org/10.1007/s00704-003-0003-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00704-015-1447-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018716524", 
              "https://doi.org/10.1007/s00704-015-1447-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/353720a0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029972734", 
              "https://doi.org/10.1038/353720a0"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2019-02-11", 
        "datePublishedReg": "2019-02-11", 
        "description": "Meteorological drought in India arises due to significant deficiency of rainfall for abnormal periods over an area. The large spatial and temporal variability of Indian summer monsoon rainfall (ISMR) over the Eastern Gangetic Plain (EGP) of India triggers meteorological drought (further leading to agricultural and hydrological drought), with widespread effects on both agricultural production and water resources over the area. To assess meteorological drought over agro-climatic zones of the states of Uttar Pradesh (UP), Bihar and West Bengal (WB) in the EGP, high-resolution gridded rainfall data (1961\u20132013) at resolution of 0.25\u00b0\u2009\u00d7\u20090.25\u00b0 of India Meteorological Department (IMD) and u, v wind at 850\u00a0hPa at resolution of 0.25\u2009\u00d7\u20090.25\u00b0 of ERA-40 (1961\u20132002) of the European Centre for Medium-Range Weather Forecasts (ECMWF) is considered. Over the agro-climatic zones, the seasonality index (SI) of summer monsoon rainfall, spatial and temporal distribution of the 4-month Standardized Precipitation Index (SPI-4), frequency and probability of drought occurrence is estimated. The severe drought-prone zones are found to be over agro-climatic zones 6, 8 and 10 of UP; 1, 2 and 3B of Bihar with more than 50% probability of drought occurrence. At a 95% confidence level, a significant decrease in rainfall (for the period 1961\u20132013) is found over these zones. Over the EGP, a low-level easterly wind at 850\u00a0hPa in July is shifted towards foothills of the Himalaya, while in August it is weakened during drought conditions. This low-level easterly wind may be responsible for less moisture incursion over the Gangetic Plain from the Bay of Bengal, and may be the probable cause of less rainfall over the EGP, leading to meteorological drought.", 
        "genre": "article", 
        "id": "sg:pub.10.1007/s00024-019-02118-2", 
        "inLanguage": "en", 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1136817", 
            "issn": [
              "0033-4553", 
              "1420-9136"
            ], 
            "name": "Pure and Applied Geophysics", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "6", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "176"
          }
        ], 
        "keywords": [
          "Indian summer monsoon rainfall", 
          "summer monsoon rainfall", 
          "India Meteorological Department", 
          "meteorological drought", 
          "Eastern Gangetic Plains", 
          "monsoon rainfall", 
          "drought occurrence", 
          "seasonality index", 
          "Gangetic Plains", 
          "agro-climatic zones", 
          "Medium-Range Weather Forecasts", 
          "low-level easterlies", 
          "Standardized Precipitation Index", 
          "Bay of Bengal", 
          "drought-prone zones", 
          "ERA-40", 
          "Precipitation Index", 
          "easterly winds", 
          "rainfall data", 
          "weather forecasts", 
          "less rainfall", 
          "Meteorological Department", 
          "moisture incursion", 
          "temporal variability", 
          "European Centre", 
          "water resources", 
          "rainfall", 
          "West Bengal", 
          "temporal distribution", 
          "Uttar Pradesh", 
          "drought conditions", 
          "drought", 
          "wind", 
          "zone", 
          "zone 6", 
          "Plain", 
          "abnormal periods", 
          "Bengal", 
          "agricultural production", 
          "India", 
          "easterlies", 
          "probable cause", 
          "Himalaya", 
          "foothills", 
          "confidence level", 
          "Bay", 
          "occurrence", 
          "widespread effects", 
          "incursion", 
          "forecasts", 
          "area", 
          "Bihar", 
          "variability", 
          "resolution", 
          "Pradesh", 
          "significant deficiencies", 
          "distribution", 
          "period", 
          "index", 
          "data", 
          "conditions", 
          "resources", 
          "characteristics", 
          "linkage", 
          "decrease", 
          "center", 
          "probability", 
          "production", 
          "frequency", 
          "cause", 
          "levels", 
          "significant decrease", 
          "state", 
          "effect", 
          "deficiency", 
          "Department", 
          "severe drought-prone zones", 
          "agro-climatic zones 6", 
          "low-level easterly wind", 
          "less moisture incursion", 
          "Observed Meteorological Drought"
        ], 
        "name": "Characteristics of Observed Meteorological Drought and its Linkage with Low-Level Easterly Wind Over India", 
        "pagination": "2679-2696", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1112066529"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s00024-019-02118-2"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s00024-019-02118-2", 
          "https://app.dimensions.ai/details/publication/pub.1112066529"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2021-12-01T19:44", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20211201/entities/gbq_results/article/article_810.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/s00024-019-02118-2"
      }
    ]
     

    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/s00024-019-02118-2'

    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/s00024-019-02118-2'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00024-019-02118-2'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00024-019-02118-2'


     

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

    254 TRIPLES      22 PREDICATES      123 URIs      98 LITERALS      6 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s00024-019-02118-2 schema:about anzsrc-for:04
    2 anzsrc-for:0401
    3 schema:author N791eab49d2c44fe78f0c90070431a340
    4 schema:citation sg:pub.10.1007/0-306-48086-7_2
    5 sg:pub.10.1007/978-1-4615-3224-8_1
    6 sg:pub.10.1007/bf02709788
    7 sg:pub.10.1007/bf02913749
    8 sg:pub.10.1007/s00376-016-6102-2
    9 sg:pub.10.1007/s00382-014-2307-1
    10 sg:pub.10.1007/s00704-003-0003-x
    11 sg:pub.10.1007/s00704-015-1447-5
    12 sg:pub.10.1007/s11069-011-9867-8
    13 sg:pub.10.1007/s11269-011-9869-z
    14 sg:pub.10.1007/s11269-018-1921-9
    15 sg:pub.10.1007/s12040-013-0294-y
    16 sg:pub.10.1038/353720a0
    17 sg:pub.10.1038/43848
    18 sg:pub.10.1038/ncomms8423
    19 sg:pub.10.1038/sdata.2014.1
    20 sg:pub.10.1038/srep44552
    21 schema:datePublished 2019-02-11
    22 schema:datePublishedReg 2019-02-11
    23 schema:description Meteorological drought in India arises due to significant deficiency of rainfall for abnormal periods over an area. The large spatial and temporal variability of Indian summer monsoon rainfall (ISMR) over the Eastern Gangetic Plain (EGP) of India triggers meteorological drought (further leading to agricultural and hydrological drought), with widespread effects on both agricultural production and water resources over the area. To assess meteorological drought over agro-climatic zones of the states of Uttar Pradesh (UP), Bihar and West Bengal (WB) in the EGP, high-resolution gridded rainfall data (1961–2013) at resolution of 0.25° × 0.25° of India Meteorological Department (IMD) and u, v wind at 850 hPa at resolution of 0.25 × 0.25° of ERA-40 (1961–2002) of the European Centre for Medium-Range Weather Forecasts (ECMWF) is considered. Over the agro-climatic zones, the seasonality index (SI) of summer monsoon rainfall, spatial and temporal distribution of the 4-month Standardized Precipitation Index (SPI-4), frequency and probability of drought occurrence is estimated. The severe drought-prone zones are found to be over agro-climatic zones 6, 8 and 10 of UP; 1, 2 and 3B of Bihar with more than 50% probability of drought occurrence. At a 95% confidence level, a significant decrease in rainfall (for the period 1961–2013) is found over these zones. Over the EGP, a low-level easterly wind at 850 hPa in July is shifted towards foothills of the Himalaya, while in August it is weakened during drought conditions. This low-level easterly wind may be responsible for less moisture incursion over the Gangetic Plain from the Bay of Bengal, and may be the probable cause of less rainfall over the EGP, leading to meteorological drought.
    24 schema:genre article
    25 schema:inLanguage en
    26 schema:isAccessibleForFree false
    27 schema:isPartOf N0874e30be0104d8f8ab38915204c2879
    28 Nf8cdcb91e9714dc59f2ca0d3f096ed02
    29 sg:journal.1136817
    30 schema:keywords Bay
    31 Bay of Bengal
    32 Bengal
    33 Bihar
    34 Department
    35 ERA-40
    36 Eastern Gangetic Plains
    37 European Centre
    38 Gangetic Plains
    39 Himalaya
    40 India
    41 India Meteorological Department
    42 Indian summer monsoon rainfall
    43 Medium-Range Weather Forecasts
    44 Meteorological Department
    45 Observed Meteorological Drought
    46 Plain
    47 Pradesh
    48 Precipitation Index
    49 Standardized Precipitation Index
    50 Uttar Pradesh
    51 West Bengal
    52 abnormal periods
    53 agricultural production
    54 agro-climatic zones
    55 agro-climatic zones 6
    56 area
    57 cause
    58 center
    59 characteristics
    60 conditions
    61 confidence level
    62 data
    63 decrease
    64 deficiency
    65 distribution
    66 drought
    67 drought conditions
    68 drought occurrence
    69 drought-prone zones
    70 easterlies
    71 easterly winds
    72 effect
    73 foothills
    74 forecasts
    75 frequency
    76 incursion
    77 index
    78 less moisture incursion
    79 less rainfall
    80 levels
    81 linkage
    82 low-level easterlies
    83 low-level easterly wind
    84 meteorological drought
    85 moisture incursion
    86 monsoon rainfall
    87 occurrence
    88 period
    89 probability
    90 probable cause
    91 production
    92 rainfall
    93 rainfall data
    94 resolution
    95 resources
    96 seasonality index
    97 severe drought-prone zones
    98 significant decrease
    99 significant deficiencies
    100 state
    101 summer monsoon rainfall
    102 temporal distribution
    103 temporal variability
    104 variability
    105 water resources
    106 weather forecasts
    107 widespread effects
    108 wind
    109 zone
    110 zone 6
    111 schema:name Characteristics of Observed Meteorological Drought and its Linkage with Low-Level Easterly Wind Over India
    112 schema:pagination 2679-2696
    113 schema:productId N68af9b66757041ee81f8eaacd100cb03
    114 Nbf8237d78dca4f81ad2f7dbba8b8a2e7
    115 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112066529
    116 https://doi.org/10.1007/s00024-019-02118-2
    117 schema:sdDatePublished 2021-12-01T19:44
    118 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    119 schema:sdPublisher N7b828f864daf41ea898ca9273dae6fb2
    120 schema:url https://doi.org/10.1007/s00024-019-02118-2
    121 sgo:license sg:explorer/license/
    122 sgo:sdDataset articles
    123 rdf:type schema:ScholarlyArticle
    124 N068f34f0f495432c9f3ab6eb6cba2611 rdf:first sg:person.011166642362.25
    125 rdf:rest rdf:nil
    126 N0745b7a48d8744659dd87c671271cd8b rdf:first sg:person.013130226241.73
    127 rdf:rest N068f34f0f495432c9f3ab6eb6cba2611
    128 N0874e30be0104d8f8ab38915204c2879 schema:volumeNumber 176
    129 rdf:type schema:PublicationVolume
    130 N26bc88937a134d1088d64b83b9c07591 rdf:first sg:person.016525261076.03
    131 rdf:rest Nb3fb4db3dab14056a1c36a015cf2c8f0
    132 N68af9b66757041ee81f8eaacd100cb03 schema:name dimensions_id
    133 schema:value pub.1112066529
    134 rdf:type schema:PropertyValue
    135 N791eab49d2c44fe78f0c90070431a340 rdf:first sg:person.010022207676.93
    136 rdf:rest Nd23066d558f24684ad1d0cf5815d3c83
    137 N7b828f864daf41ea898ca9273dae6fb2 schema:name Springer Nature - SN SciGraph project
    138 rdf:type schema:Organization
    139 N9e0fa5c6493f4c8bae6bf6134bf08fdd rdf:first sg:person.016270210040.67
    140 rdf:rest N0745b7a48d8744659dd87c671271cd8b
    141 Nb3fb4db3dab14056a1c36a015cf2c8f0 rdf:first sg:person.011676407563.83
    142 rdf:rest N9e0fa5c6493f4c8bae6bf6134bf08fdd
    143 Nbf8237d78dca4f81ad2f7dbba8b8a2e7 schema:name doi
    144 schema:value 10.1007/s00024-019-02118-2
    145 rdf:type schema:PropertyValue
    146 Nd23066d558f24684ad1d0cf5815d3c83 rdf:first sg:person.010630726614.78
    147 rdf:rest N26bc88937a134d1088d64b83b9c07591
    148 Nf8cdcb91e9714dc59f2ca0d3f096ed02 schema:issueNumber 6
    149 rdf:type schema:PublicationIssue
    150 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
    151 schema:name Earth Sciences
    152 rdf:type schema:DefinedTerm
    153 anzsrc-for:0401 schema:inDefinedTermSet anzsrc-for:
    154 schema:name Atmospheric Sciences
    155 rdf:type schema:DefinedTerm
    156 sg:journal.1136817 schema:issn 0033-4553
    157 1420-9136
    158 schema:name Pure and Applied Geophysics
    159 schema:publisher Springer Nature
    160 rdf:type schema:Periodical
    161 sg:person.010022207676.93 schema:affiliation grid-institutes:grid.448755.f
    162 schema:familyName Kumar
    163 schema:givenName Sunny
    164 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010022207676.93
    165 rdf:type schema:Person
    166 sg:person.010630726614.78 schema:affiliation grid-institutes:grid.448755.f
    167 schema:familyName Kumar
    168 schema:givenName Praveen
    169 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010630726614.78
    170 rdf:type schema:Person
    171 sg:person.011166642362.25 schema:affiliation grid-institutes:grid.466772.6
    172 schema:familyName Singh
    173 schema:givenName K. K.
    174 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011166642362.25
    175 rdf:type schema:Person
    176 sg:person.011676407563.83 schema:affiliation grid-institutes:grid.448755.f
    177 schema:familyName Sinha
    178 schema:givenName Ashutosh K.
    179 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011676407563.83
    180 rdf:type schema:Person
    181 sg:person.013130226241.73 schema:affiliation grid-institutes:grid.448755.f
    182 schema:familyName Ranjan
    183 schema:givenName Prabhat
    184 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013130226241.73
    185 rdf:type schema:Person
    186 sg:person.016270210040.67 schema:affiliation grid-institutes:grid.448755.f
    187 schema:familyName Sarthi
    188 schema:givenName P. Parth
    189 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016270210040.67
    190 rdf:type schema:Person
    191 sg:person.016525261076.03 schema:affiliation grid-institutes:grid.448755.f
    192 schema:familyName Barat
    193 schema:givenName Archisman
    194 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016525261076.03
    195 rdf:type schema:Person
    196 sg:pub.10.1007/0-306-48086-7_2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034563593
    197 https://doi.org/10.1007/0-306-48086-7_2
    198 rdf:type schema:CreativeWork
    199 sg:pub.10.1007/978-1-4615-3224-8_1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012210591
    200 https://doi.org/10.1007/978-1-4615-3224-8_1
    201 rdf:type schema:CreativeWork
    202 sg:pub.10.1007/bf02709788 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014904026
    203 https://doi.org/10.1007/bf02709788
    204 rdf:type schema:CreativeWork
    205 sg:pub.10.1007/bf02913749 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052907489
    206 https://doi.org/10.1007/bf02913749
    207 rdf:type schema:CreativeWork
    208 sg:pub.10.1007/s00376-016-6102-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074245940
    209 https://doi.org/10.1007/s00376-016-6102-2
    210 rdf:type schema:CreativeWork
    211 sg:pub.10.1007/s00382-014-2307-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025041910
    212 https://doi.org/10.1007/s00382-014-2307-1
    213 rdf:type schema:CreativeWork
    214 sg:pub.10.1007/s00704-003-0003-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1005747510
    215 https://doi.org/10.1007/s00704-003-0003-x
    216 rdf:type schema:CreativeWork
    217 sg:pub.10.1007/s00704-015-1447-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018716524
    218 https://doi.org/10.1007/s00704-015-1447-5
    219 rdf:type schema:CreativeWork
    220 sg:pub.10.1007/s11069-011-9867-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019100351
    221 https://doi.org/10.1007/s11069-011-9867-8
    222 rdf:type schema:CreativeWork
    223 sg:pub.10.1007/s11269-011-9869-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1013355972
    224 https://doi.org/10.1007/s11269-011-9869-z
    225 rdf:type schema:CreativeWork
    226 sg:pub.10.1007/s11269-018-1921-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101170389
    227 https://doi.org/10.1007/s11269-018-1921-9
    228 rdf:type schema:CreativeWork
    229 sg:pub.10.1007/s12040-013-0294-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1009924105
    230 https://doi.org/10.1007/s12040-013-0294-y
    231 rdf:type schema:CreativeWork
    232 sg:pub.10.1038/353720a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029972734
    233 https://doi.org/10.1038/353720a0
    234 rdf:type schema:CreativeWork
    235 sg:pub.10.1038/43848 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043900608
    236 https://doi.org/10.1038/43848
    237 rdf:type schema:CreativeWork
    238 sg:pub.10.1038/ncomms8423 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015699892
    239 https://doi.org/10.1038/ncomms8423
    240 rdf:type schema:CreativeWork
    241 sg:pub.10.1038/sdata.2014.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035846398
    242 https://doi.org/10.1038/sdata.2014.1
    243 rdf:type schema:CreativeWork
    244 sg:pub.10.1038/srep44552 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084132437
    245 https://doi.org/10.1038/srep44552
    246 rdf:type schema:CreativeWork
    247 grid-institutes:grid.448755.f schema:alternateName Department of Computer Science, Central University of South Bihar, Gaya, India
    248 Department of Environmental Sciences, Central University of South Bihar, 824236, Gaya, Bihar, India
    249 schema:name Department of Computer Science, Central University of South Bihar, Gaya, India
    250 Department of Environmental Sciences, Central University of South Bihar, 824236, Gaya, Bihar, India
    251 rdf:type schema:Organization
    252 grid-institutes:grid.466772.6 schema:alternateName Agromet, India Meteorological Department, New Delhi, India
    253 schema:name Agromet, India Meteorological Department, New Delhi, India
    254 rdf:type schema:Organization
     




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


    ...