Impact of atmospheric conditions in surface–air exchange of energy in a topographically complex terrain over Umiam View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-04-02

AUTHORS

Nilamoni Barman, Arup Borgohain, S. S. Kundu, Biswajit Saha, Rakesh Roy, Raman Solanki, N. V. P. Kiran Kumar, P. L. N Raju

ABSTRACT

The effectiveness of the flux estimation techniques has been investigated over Umiam (25°40′32′′N, 91°54′06′′E, and altitude 1040 m above mean sea level), Shillong, in the Khasi hills located in north-east India. Primary dataset consists of sonic anemometer data recorded during January–February 2014 at 18 m and 30 m levels. Often, general planar fit (GPF) technique is used for long-term flux measurements using eddy covariance (EC). The three flux computation methods, namely double rotation (DR), GPF, and sector-wise planar fit (SPF) techniques have been compared in this investigation. SPF showed a reduction in the vertical wind (w) offset (b0, combination of instrument error and planar fit error) value compared to GPF. SPF minimized the planar-fit error in b0, while the instrument error was constant. The reduction of planar fit error has been seen in the computed sensible heat flux and momentum flux. Variations of 12–13% and 16–18% have been observed in the sensible heat flux and momentum flux in SPF compared to GPF. The effectiveness of SPF has been significant in the w-component estimation. An angle of attack (AA) which acts as a pivotal variable in the estimation of surface flux concentration varied between ± 6° in all atmospheric conditions. The standard deviations of horizontal and vertical velocity normalized by friction velocity (σu/u∗ and σw/u∗) as functions of atmospheric stability parameter (z/L) and obeyed a power-law relation during stable and unstable conditions. The variation in coefficients was in agreement with those estimated over flat and mountainous sites in the literature. More... »

PAGES

1-14

References to SciGraph publications

  • 1988-05. An eddy correlation technique with extended applicability to non-simple terrain in BOUNDARY-LAYER METEOROLOGY
  • 1986-07. Eddy fluxes of CO2, water vapor, and sensible heat over a deciduous forest in BOUNDARY-LAYER METEOROLOGY
  • 2003-04. A Re-Evaluation of Long-Term Flux Measurement Techniques Part I: Averaging and Coordinate Rotation in BOUNDARY-LAYER METEOROLOGY
  • 2015-08. Effect of Coordinate Rotation Systems on Calculated Fluxes over a Forest in Complex Terrain: A Comprehensive Comparison in BOUNDARY-LAYER METEOROLOGY
  • 1988. An Introduction to Boundary Layer Meteorology in NONE
  • 2016-04. On the Measurement of Turbulence Over Complex Mountainous Terrain in BOUNDARY-LAYER METEOROLOGY
  • 2000-12. Correction Of Eddy-Covariance Measurements Incorporating Both Advective Effects And Density Fluxes in BOUNDARY-LAYER METEOROLOGY
  • 2011-09. Diurnal Evolution and Annual Variability of Boundary-Layer Height and Its Correlation to Other Meteorological Variables in California’s Central Valley in BOUNDARY-LAYER METEOROLOGY
  • 2005. Post-Field Data Quality Control in HANDBOOK OF MICROMETEOROLOGY
  • 2012. Data Acquisition and Flux Calculations in EDDY COVARIANCE
  • 2011-01. Expansion of the planar-fit method to estimate flux over complex terrain in METEOROLOGY AND ATMOSPHERIC PHYSICS
  • 2000-09. Eddy Covariance Measurements On Mountain Slopes: The Advantage Of Surface-Normal Sensor Orientation Over A Vertical Set-Up in BOUNDARY-LAYER METEOROLOGY
  • 2012-07. Aspects of CO2 advection measurements in THEORETICAL AND APPLIED CLIMATOLOGY
  • 2001-04. Sonic Anemometer Tilt Correction Algorithms in BOUNDARY-LAYER METEOROLOGY
  • 2016-03. Time Variability of Surface-Layer Characteristics over a Mountain Ridge in the Central Himalayas During the Spring Season in BOUNDARY-LAYER METEOROLOGY
  • 2006-03. A Solution for Flux Contamination by Mesoscale Motions With Very Weak Turbulence in BOUNDARY-LAYER METEOROLOGY
  • 2016-06. Adapting Tilt Corrections and the Governing Flow Equations for Steep, Fully Three-Dimensional, Mountainous Terrain in BOUNDARY-LAYER METEOROLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00703-019-00668-7

    DOI

    http://dx.doi.org/10.1007/s00703-019-00668-7

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1113199679


    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/2008/0906", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Electrical and Electronic Engineering", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Engineering", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "National Institute of Technology Agartala", 
              "id": "https://www.grid.ac/institutes/grid.444294.b", 
              "name": [
                "Space and Atmospheric Science Division, Northeastern Space Applications Centre, 793103, Meghalaya, India", 
                "Department of Physics, National Institute of Technology, 799046, Agartala, Tripura, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Barman", 
            "givenName": "Nilamoni", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Space and Atmospheric Science Division, Northeastern Space Applications Centre, 793103, Meghalaya, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Borgohain", 
            "givenName": "Arup", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Space and Atmospheric Science Division, Northeastern Space Applications Centre, 793103, Meghalaya, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kundu", 
            "givenName": "S. S.", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "National Institute of Technology Agartala", 
              "id": "https://www.grid.ac/institutes/grid.444294.b", 
              "name": [
                "Department of Physics, National Institute of Technology, 799046, Agartala, Tripura, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Saha", 
            "givenName": "Biswajit", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Maharaja Bir Bikram University, 799004, Agartala, Tripura, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Roy", 
            "givenName": "Rakesh", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "National Astronomical Research Institute of Thailand", 
              "id": "https://www.grid.ac/institutes/grid.452685.8", 
              "name": [
                "National Astronomical Research Institute of Thailand (NARIT), Chiang Mai, Thailand"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Solanki", 
            "givenName": "Raman", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Vikram Sarabhai Space Centre", 
              "id": "https://www.grid.ac/institutes/grid.450282.9", 
              "name": [
                "Space Physics Laboratory, Vikram Sarabhai Space Centre, 695022, Trivandrum, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kumar", 
            "givenName": "N. V. P. Kiran", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Space and Atmospheric Science Division, Northeastern Space Applications Centre, 793103, Meghalaya, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "N Raju", 
            "givenName": "P. L.", 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1023/a:1002786702909", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000442030", 
              "https://doi.org/10.1023/a:1002786702909"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-2486.1996.tb00074.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003100670"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.271.5255.1576", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004654130"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s1352-2310(97)00173-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005722001"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/1-4020-2265-4_9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008290260", 
              "https://doi.org/10.1007/1-4020-2265-4_9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2480/agrmet.64.3.5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008395005"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2480/agrmet.64.3.5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008395005"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0168-1923(98)00071-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009472976"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10546-015-0098-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010463977", 
              "https://doi.org/10.1007/s10546-015-0098-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5194/amt-6-221-2013", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010947213"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00704-011-0552-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012003113", 
              "https://doi.org/10.1007/s00704-011-0552-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0168-1923(03)00137-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012455744"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0168-1923(03)00137-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012455744"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-3040.1995.tb00626.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014651888"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00128405", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016555491", 
              "https://doi.org/10.1007/bf00128405"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00128405", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016555491", 
              "https://doi.org/10.1007/bf00128405"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-94-009-3027-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016702098", 
              "https://doi.org/10.1007/978-94-009-3027-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-94-009-3027-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016702098", 
              "https://doi.org/10.1007/978-94-009-3027-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5532/kjafm.2007.9.2.100", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017285885"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/qj.2167", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017644508"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00117459", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020335148", 
              "https://doi.org/10.1007/bf00117459"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00117459", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020335148", 
              "https://doi.org/10.1007/bf00117459"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/1520-0450(1979)018<0317:tsaavs>2.0.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020617965"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/1520-0469(1993)050<3751:daaope>2.0.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022087006"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10546-015-0066-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023185035", 
              "https://doi.org/10.1007/s10546-015-0066-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10546-005-9003-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023979568", 
              "https://doi.org/10.1007/s10546-005-9003-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10546-005-9003-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023979568", 
              "https://doi.org/10.1007/s10546-005-9003-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0168-1923(03)00136-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024682221"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0168-1923(03)00136-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024682221"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/qj.71", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031085165"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0168-1923(92)90002-l", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031169857"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0168-1923(92)90002-l", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031169857"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.agrformet.2003.09.003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032056648"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1029/96jd00697", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033135307"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10546-011-9622-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034792840", 
              "https://doi.org/10.1007/s10546-011-9622-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10546-015-0103-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036162872", 
              "https://doi.org/10.1007/s10546-015-0103-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10546-015-0103-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036162872", 
              "https://doi.org/10.1007/s10546-015-0103-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1600-0889.2007.00306.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037102342"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1175/1520-0426(2001)018<0529:ltcdff>2.0.co;2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038404398"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/qj.49710042307", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039595301"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00703-010-0113-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040550095", 
              "https://doi.org/10.1007/s00703-010-0113-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00703-010-0113-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040550095", 
              "https://doi.org/10.1007/s00703-010-0113-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1021554900225", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042690933", 
              "https://doi.org/10.1023/a:1021554900225"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0168-1923(95)02248-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043409059"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1002660521017", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045171180", 
              "https://doi.org/10.1023/a:1002660521017"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/qj.49712152803", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045579256"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1018966204465", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047200425", 
              "https://doi.org/10.1023/a:1018966204465"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.atmosenv.2005.01.046", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048029445"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10546-015-0027-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050727901", 
              "https://doi.org/10.1007/s10546-015-0027-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-94-007-2351-1_3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050741564", 
              "https://doi.org/10.1007/978-94-007-2351-1_3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/2014jd021510", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053078488"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0168-1923(99)00049-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053210633"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.270.5237.778", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062551540"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2307/1939390", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1069663245"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2019-04-02", 
        "datePublishedReg": "2019-04-02", 
        "description": "The effectiveness of the flux estimation techniques has been investigated over Umiam (25\u00b040\u203232\u2032\u2032N, 91\u00b054\u203206\u2032\u2032E, and altitude 1040 m above mean sea level), Shillong, in the Khasi hills located in north-east India. Primary dataset consists of sonic anemometer data recorded during January\u2013February 2014 at 18 m and 30 m levels. Often, general planar fit (GPF) technique is used for long-term flux measurements using eddy covariance (EC). The three flux computation methods, namely double rotation (DR), GPF, and sector-wise planar fit (SPF) techniques have been compared in this investigation. SPF showed a reduction in the vertical wind (w) offset (b0, combination of instrument error and planar fit error) value compared to GPF. SPF minimized the planar-fit error in b0, while the instrument error was constant. The reduction of planar fit error has been seen in the computed sensible heat flux and momentum flux. Variations of 12\u201313% and 16\u201318% have been observed in the sensible heat flux and momentum flux in SPF compared to GPF. The effectiveness of SPF has been significant in the w-component estimation. An angle of attack (AA) which acts as a pivotal variable in the estimation of surface flux concentration varied between \u00b1 6\u00b0 in all atmospheric conditions. The standard deviations of horizontal and vertical velocity normalized by friction velocity (\u03c3u/u\u2217 and \u03c3w/u\u2217) as functions of atmospheric stability parameter (z/L) and obeyed a power-law relation during stable and unstable conditions. The variation in coefficients was in agreement with those estimated over flat and mountainous sites in the literature.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s00703-019-00668-7", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1271293", 
            "issn": [
              "0177-7971", 
              "1436-5065"
            ], 
            "name": "Meteorology and Atmospheric Physics", 
            "type": "Periodical"
          }
        ], 
        "name": "Impact of atmospheric conditions in surface\u2013air exchange of energy in a topographically complex terrain over Umiam", 
        "pagination": "1-14", 
        "productId": [
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s00703-019-00668-7"
            ]
          }, 
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "33ee3b6bb8621dfd05767c6897944e7ede4f5c21512e1a2f8a3fc21fa228b66f"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1113199679"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s00703-019-00668-7", 
          "https://app.dimensions.ai/details/publication/pub.1113199679"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-15T09:10", 
        "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/v90/0000000376_0000000376/records_56155_00000006.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://link.springer.com/10.1007%2Fs00703-019-00668-7"
      }
    ]
     

    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/s00703-019-00668-7'

    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/s00703-019-00668-7'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00703-019-00668-7'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00703-019-00668-7'


     

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

    260 TRIPLES      21 PREDICATES      68 URIs      16 LITERALS      5 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s00703-019-00668-7 schema:about anzsrc-for:09
    2 anzsrc-for:0906
    3 schema:author N7d46cf4ac2f84a2692abecab5dcd7004
    4 schema:citation sg:pub.10.1007/1-4020-2265-4_9
    5 sg:pub.10.1007/978-94-007-2351-1_3
    6 sg:pub.10.1007/978-94-009-3027-8
    7 sg:pub.10.1007/bf00117459
    8 sg:pub.10.1007/bf00128405
    9 sg:pub.10.1007/s00703-010-0113-9
    10 sg:pub.10.1007/s00704-011-0552-3
    11 sg:pub.10.1007/s10546-005-9003-y
    12 sg:pub.10.1007/s10546-011-9622-4
    13 sg:pub.10.1007/s10546-015-0027-7
    14 sg:pub.10.1007/s10546-015-0066-0
    15 sg:pub.10.1007/s10546-015-0098-5
    16 sg:pub.10.1007/s10546-015-0103-z
    17 sg:pub.10.1023/a:1002660521017
    18 sg:pub.10.1023/a:1002786702909
    19 sg:pub.10.1023/a:1018966204465
    20 sg:pub.10.1023/a:1021554900225
    21 https://doi.org/10.1002/2014jd021510
    22 https://doi.org/10.1002/qj.2167
    23 https://doi.org/10.1002/qj.49710042307
    24 https://doi.org/10.1002/qj.49712152803
    25 https://doi.org/10.1002/qj.71
    26 https://doi.org/10.1016/0168-1923(92)90002-l
    27 https://doi.org/10.1016/0168-1923(95)02248-1
    28 https://doi.org/10.1016/j.agrformet.2003.09.003
    29 https://doi.org/10.1016/j.atmosenv.2005.01.046
    30 https://doi.org/10.1016/s0168-1923(03)00136-9
    31 https://doi.org/10.1016/s0168-1923(03)00137-0
    32 https://doi.org/10.1016/s0168-1923(98)00071-9
    33 https://doi.org/10.1016/s0168-1923(99)00049-0
    34 https://doi.org/10.1016/s1352-2310(97)00173-8
    35 https://doi.org/10.1029/96jd00697
    36 https://doi.org/10.1111/j.1365-2486.1996.tb00074.x
    37 https://doi.org/10.1111/j.1365-3040.1995.tb00626.x
    38 https://doi.org/10.1111/j.1600-0889.2007.00306.x
    39 https://doi.org/10.1126/science.270.5237.778
    40 https://doi.org/10.1126/science.271.5255.1576
    41 https://doi.org/10.1175/1520-0426(2001)018<0529:ltcdff>2.0.co;2
    42 https://doi.org/10.1175/1520-0450(1979)018<0317:tsaavs>2.0.co;2
    43 https://doi.org/10.1175/1520-0469(1993)050<3751:daaope>2.0.co;2
    44 https://doi.org/10.2307/1939390
    45 https://doi.org/10.2480/agrmet.64.3.5
    46 https://doi.org/10.5194/amt-6-221-2013
    47 https://doi.org/10.5532/kjafm.2007.9.2.100
    48 schema:datePublished 2019-04-02
    49 schema:datePublishedReg 2019-04-02
    50 schema:description The effectiveness of the flux estimation techniques has been investigated over Umiam (25°40′32′′N, 91°54′06′′E, and altitude 1040 m above mean sea level), Shillong, in the Khasi hills located in north-east India. Primary dataset consists of sonic anemometer data recorded during January–February 2014 at 18 m and 30 m levels. Often, general planar fit (GPF) technique is used for long-term flux measurements using eddy covariance (EC). The three flux computation methods, namely double rotation (DR), GPF, and sector-wise planar fit (SPF) techniques have been compared in this investigation. SPF showed a reduction in the vertical wind (w) offset (b0, combination of instrument error and planar fit error) value compared to GPF. SPF minimized the planar-fit error in b0, while the instrument error was constant. The reduction of planar fit error has been seen in the computed sensible heat flux and momentum flux. Variations of 12–13% and 16–18% have been observed in the sensible heat flux and momentum flux in SPF compared to GPF. The effectiveness of SPF has been significant in the w-component estimation. An angle of attack (AA) which acts as a pivotal variable in the estimation of surface flux concentration varied between ± 6° in all atmospheric conditions. The standard deviations of horizontal and vertical velocity normalized by friction velocity (σu/u∗ and σw/u∗) as functions of atmospheric stability parameter (z/L) and obeyed a power-law relation during stable and unstable conditions. The variation in coefficients was in agreement with those estimated over flat and mountainous sites in the literature.
    51 schema:genre research_article
    52 schema:inLanguage en
    53 schema:isAccessibleForFree false
    54 schema:isPartOf sg:journal.1271293
    55 schema:name Impact of atmospheric conditions in surface–air exchange of energy in a topographically complex terrain over Umiam
    56 schema:pagination 1-14
    57 schema:productId N2e5685301d7f40d6af272a7c21dc5724
    58 N3b5b3e9a1fa44a5e9629823dfd2b6e7e
    59 N81c282f6bf1d4298922018d16a8c7439
    60 schema:sameAs https://app.dimensions.ai/details/publication/pub.1113199679
    61 https://doi.org/10.1007/s00703-019-00668-7
    62 schema:sdDatePublished 2019-04-15T09:10
    63 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    64 schema:sdPublisher Nab224ff193e244fcb16485d8afb5625e
    65 schema:url https://link.springer.com/10.1007%2Fs00703-019-00668-7
    66 sgo:license sg:explorer/license/
    67 sgo:sdDataset articles
    68 rdf:type schema:ScholarlyArticle
    69 N14300b2cd15540e085a5a96f089b0936 schema:affiliation N87765b5217cb4087b5edd0ad3f4b263b
    70 schema:familyName Kundu
    71 schema:givenName S. S.
    72 rdf:type schema:Person
    73 N220d2a4fc21f42b0b2813a2ac2cbfb6a schema:name Maharaja Bir Bikram University, 799004, Agartala, Tripura, India
    74 rdf:type schema:Organization
    75 N2751134f1952424789ea04646ccf1998 schema:affiliation N220d2a4fc21f42b0b2813a2ac2cbfb6a
    76 schema:familyName Roy
    77 schema:givenName Rakesh
    78 rdf:type schema:Person
    79 N2969f91a5f014e80840e95bd3f07c8b4 schema:name Space and Atmospheric Science Division, Northeastern Space Applications Centre, 793103, Meghalaya, India
    80 rdf:type schema:Organization
    81 N2e5685301d7f40d6af272a7c21dc5724 schema:name doi
    82 schema:value 10.1007/s00703-019-00668-7
    83 rdf:type schema:PropertyValue
    84 N3b5b3e9a1fa44a5e9629823dfd2b6e7e schema:name readcube_id
    85 schema:value 33ee3b6bb8621dfd05767c6897944e7ede4f5c21512e1a2f8a3fc21fa228b66f
    86 rdf:type schema:PropertyValue
    87 N3cb0778db9964ed8b114ec25e769c221 rdf:first N14300b2cd15540e085a5a96f089b0936
    88 rdf:rest N90c5bb5de8004101aef91052fe4ca502
    89 N42f89a27e4764e26ba60321ae63a10e8 schema:affiliation Ne116ed10e42d48fdb88d92e48ef274fe
    90 schema:familyName N Raju
    91 schema:givenName P. L.
    92 rdf:type schema:Person
    93 N533f5cc98bb740bcbecbccb2e435cb76 rdf:first Nb265032d3c094a4c9d6404b4dd3c1dd8
    94 rdf:rest N3cb0778db9964ed8b114ec25e769c221
    95 N54529cee1dee426fafeacfc4327104ec schema:affiliation https://www.grid.ac/institutes/grid.444294.b
    96 schema:familyName Barman
    97 schema:givenName Nilamoni
    98 rdf:type schema:Person
    99 N72faf337dc2344b8acc58fee94c244c2 rdf:first Ndbb1b6773808497182a9427ad8cdc17c
    100 rdf:rest Nc9ece617e6e94a8ca83ca61401792e84
    101 N7d46cf4ac2f84a2692abecab5dcd7004 rdf:first N54529cee1dee426fafeacfc4327104ec
    102 rdf:rest N533f5cc98bb740bcbecbccb2e435cb76
    103 N81c282f6bf1d4298922018d16a8c7439 schema:name dimensions_id
    104 schema:value pub.1113199679
    105 rdf:type schema:PropertyValue
    106 N87765b5217cb4087b5edd0ad3f4b263b schema:name Space and Atmospheric Science Division, Northeastern Space Applications Centre, 793103, Meghalaya, India
    107 rdf:type schema:Organization
    108 N89dc010df90d4f2b96b1d298f63f1b2c schema:affiliation https://www.grid.ac/institutes/grid.444294.b
    109 schema:familyName Saha
    110 schema:givenName Biswajit
    111 rdf:type schema:Person
    112 N90c5bb5de8004101aef91052fe4ca502 rdf:first N89dc010df90d4f2b96b1d298f63f1b2c
    113 rdf:rest Ne3ad10659c07431aa7c9ece0e4c8af9f
    114 Na83b98e70bea4d679ee3c81961912e5b rdf:first N42f89a27e4764e26ba60321ae63a10e8
    115 rdf:rest rdf:nil
    116 Nab224ff193e244fcb16485d8afb5625e schema:name Springer Nature - SN SciGraph project
    117 rdf:type schema:Organization
    118 Nb265032d3c094a4c9d6404b4dd3c1dd8 schema:affiliation N2969f91a5f014e80840e95bd3f07c8b4
    119 schema:familyName Borgohain
    120 schema:givenName Arup
    121 rdf:type schema:Person
    122 Nba4ad3dd31c643eda54ee4cb482975b1 schema:affiliation https://www.grid.ac/institutes/grid.450282.9
    123 schema:familyName Kumar
    124 schema:givenName N. V. P. Kiran
    125 rdf:type schema:Person
    126 Nc9ece617e6e94a8ca83ca61401792e84 rdf:first Nba4ad3dd31c643eda54ee4cb482975b1
    127 rdf:rest Na83b98e70bea4d679ee3c81961912e5b
    128 Ndbb1b6773808497182a9427ad8cdc17c schema:affiliation https://www.grid.ac/institutes/grid.452685.8
    129 schema:familyName Solanki
    130 schema:givenName Raman
    131 rdf:type schema:Person
    132 Ne116ed10e42d48fdb88d92e48ef274fe schema:name Space and Atmospheric Science Division, Northeastern Space Applications Centre, 793103, Meghalaya, India
    133 rdf:type schema:Organization
    134 Ne3ad10659c07431aa7c9ece0e4c8af9f rdf:first N2751134f1952424789ea04646ccf1998
    135 rdf:rest N72faf337dc2344b8acc58fee94c244c2
    136 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
    137 schema:name Engineering
    138 rdf:type schema:DefinedTerm
    139 anzsrc-for:0906 schema:inDefinedTermSet anzsrc-for:
    140 schema:name Electrical and Electronic Engineering
    141 rdf:type schema:DefinedTerm
    142 sg:journal.1271293 schema:issn 0177-7971
    143 1436-5065
    144 schema:name Meteorology and Atmospheric Physics
    145 rdf:type schema:Periodical
    146 sg:pub.10.1007/1-4020-2265-4_9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008290260
    147 https://doi.org/10.1007/1-4020-2265-4_9
    148 rdf:type schema:CreativeWork
    149 sg:pub.10.1007/978-94-007-2351-1_3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050741564
    150 https://doi.org/10.1007/978-94-007-2351-1_3
    151 rdf:type schema:CreativeWork
    152 sg:pub.10.1007/978-94-009-3027-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016702098
    153 https://doi.org/10.1007/978-94-009-3027-8
    154 rdf:type schema:CreativeWork
    155 sg:pub.10.1007/bf00117459 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020335148
    156 https://doi.org/10.1007/bf00117459
    157 rdf:type schema:CreativeWork
    158 sg:pub.10.1007/bf00128405 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016555491
    159 https://doi.org/10.1007/bf00128405
    160 rdf:type schema:CreativeWork
    161 sg:pub.10.1007/s00703-010-0113-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040550095
    162 https://doi.org/10.1007/s00703-010-0113-9
    163 rdf:type schema:CreativeWork
    164 sg:pub.10.1007/s00704-011-0552-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012003113
    165 https://doi.org/10.1007/s00704-011-0552-3
    166 rdf:type schema:CreativeWork
    167 sg:pub.10.1007/s10546-005-9003-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1023979568
    168 https://doi.org/10.1007/s10546-005-9003-y
    169 rdf:type schema:CreativeWork
    170 sg:pub.10.1007/s10546-011-9622-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034792840
    171 https://doi.org/10.1007/s10546-011-9622-4
    172 rdf:type schema:CreativeWork
    173 sg:pub.10.1007/s10546-015-0027-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050727901
    174 https://doi.org/10.1007/s10546-015-0027-7
    175 rdf:type schema:CreativeWork
    176 sg:pub.10.1007/s10546-015-0066-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023185035
    177 https://doi.org/10.1007/s10546-015-0066-0
    178 rdf:type schema:CreativeWork
    179 sg:pub.10.1007/s10546-015-0098-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010463977
    180 https://doi.org/10.1007/s10546-015-0098-5
    181 rdf:type schema:CreativeWork
    182 sg:pub.10.1007/s10546-015-0103-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1036162872
    183 https://doi.org/10.1007/s10546-015-0103-z
    184 rdf:type schema:CreativeWork
    185 sg:pub.10.1023/a:1002660521017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045171180
    186 https://doi.org/10.1023/a:1002660521017
    187 rdf:type schema:CreativeWork
    188 sg:pub.10.1023/a:1002786702909 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000442030
    189 https://doi.org/10.1023/a:1002786702909
    190 rdf:type schema:CreativeWork
    191 sg:pub.10.1023/a:1018966204465 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047200425
    192 https://doi.org/10.1023/a:1018966204465
    193 rdf:type schema:CreativeWork
    194 sg:pub.10.1023/a:1021554900225 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042690933
    195 https://doi.org/10.1023/a:1021554900225
    196 rdf:type schema:CreativeWork
    197 https://doi.org/10.1002/2014jd021510 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053078488
    198 rdf:type schema:CreativeWork
    199 https://doi.org/10.1002/qj.2167 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017644508
    200 rdf:type schema:CreativeWork
    201 https://doi.org/10.1002/qj.49710042307 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039595301
    202 rdf:type schema:CreativeWork
    203 https://doi.org/10.1002/qj.49712152803 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045579256
    204 rdf:type schema:CreativeWork
    205 https://doi.org/10.1002/qj.71 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031085165
    206 rdf:type schema:CreativeWork
    207 https://doi.org/10.1016/0168-1923(92)90002-l schema:sameAs https://app.dimensions.ai/details/publication/pub.1031169857
    208 rdf:type schema:CreativeWork
    209 https://doi.org/10.1016/0168-1923(95)02248-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043409059
    210 rdf:type schema:CreativeWork
    211 https://doi.org/10.1016/j.agrformet.2003.09.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032056648
    212 rdf:type schema:CreativeWork
    213 https://doi.org/10.1016/j.atmosenv.2005.01.046 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048029445
    214 rdf:type schema:CreativeWork
    215 https://doi.org/10.1016/s0168-1923(03)00136-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024682221
    216 rdf:type schema:CreativeWork
    217 https://doi.org/10.1016/s0168-1923(03)00137-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012455744
    218 rdf:type schema:CreativeWork
    219 https://doi.org/10.1016/s0168-1923(98)00071-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009472976
    220 rdf:type schema:CreativeWork
    221 https://doi.org/10.1016/s0168-1923(99)00049-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053210633
    222 rdf:type schema:CreativeWork
    223 https://doi.org/10.1016/s1352-2310(97)00173-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005722001
    224 rdf:type schema:CreativeWork
    225 https://doi.org/10.1029/96jd00697 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033135307
    226 rdf:type schema:CreativeWork
    227 https://doi.org/10.1111/j.1365-2486.1996.tb00074.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1003100670
    228 rdf:type schema:CreativeWork
    229 https://doi.org/10.1111/j.1365-3040.1995.tb00626.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1014651888
    230 rdf:type schema:CreativeWork
    231 https://doi.org/10.1111/j.1600-0889.2007.00306.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1037102342
    232 rdf:type schema:CreativeWork
    233 https://doi.org/10.1126/science.270.5237.778 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062551540
    234 rdf:type schema:CreativeWork
    235 https://doi.org/10.1126/science.271.5255.1576 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004654130
    236 rdf:type schema:CreativeWork
    237 https://doi.org/10.1175/1520-0426(2001)018<0529:ltcdff>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038404398
    238 rdf:type schema:CreativeWork
    239 https://doi.org/10.1175/1520-0450(1979)018<0317:tsaavs>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020617965
    240 rdf:type schema:CreativeWork
    241 https://doi.org/10.1175/1520-0469(1993)050<3751:daaope>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022087006
    242 rdf:type schema:CreativeWork
    243 https://doi.org/10.2307/1939390 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069663245
    244 rdf:type schema:CreativeWork
    245 https://doi.org/10.2480/agrmet.64.3.5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008395005
    246 rdf:type schema:CreativeWork
    247 https://doi.org/10.5194/amt-6-221-2013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010947213
    248 rdf:type schema:CreativeWork
    249 https://doi.org/10.5532/kjafm.2007.9.2.100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017285885
    250 rdf:type schema:CreativeWork
    251 https://www.grid.ac/institutes/grid.444294.b schema:alternateName National Institute of Technology Agartala
    252 schema:name Department of Physics, National Institute of Technology, 799046, Agartala, Tripura, India
    253 Space and Atmospheric Science Division, Northeastern Space Applications Centre, 793103, Meghalaya, India
    254 rdf:type schema:Organization
    255 https://www.grid.ac/institutes/grid.450282.9 schema:alternateName Vikram Sarabhai Space Centre
    256 schema:name Space Physics Laboratory, Vikram Sarabhai Space Centre, 695022, Trivandrum, India
    257 rdf:type schema:Organization
    258 https://www.grid.ac/institutes/grid.452685.8 schema:alternateName National Astronomical Research Institute of Thailand
    259 schema:name National Astronomical Research Institute of Thailand (NARIT), Chiang Mai, Thailand
    260 rdf:type schema:Organization
     




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


    ...