Convenient models of the atmosphere: optics and solar radiation View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-04

AUTHORS

Ginsburg Alexander, Frolkis Victor, Melnikova Irina, Novikov Sergey, Samulenkov Dmitriy, Sapunov Maxim

ABSTRACT

Simple optical models of clear and cloudy atmosphere are proposed. Four versions of atmospheric aerosols content are considered: a complete lack of aerosols in the atmosphere, low background concentration (500 cm−3), high concentrations (2000 cm−3) and very high content of particles (5000 cm−3). In a cloud scenario, the model of external mixture is assumed. The values of optical thickness and single scattering albedo for 13 wavelengths are calculated in the short wavelength range of 0.28–0.90 µm, with regard to the molecular absorption bands, that is simulated with triangle function. A comparison of the proposed optical parameters with results of various measurements and retrieval (lidar measurement, sampling, processing radiation measurements) is presented. For a cloudy atmosphere models of single-layer and two-layer atmosphere are proposed. It is found that cloud optical parameters with assuming the “external mixture” agrees with retrieved values from airborne observations. The results of calculating hemispherical fluxes of the reflected and transmitted solar radiation and the radiative divergence are obtained with the Delta-Eddington approach. The calculation is done for surface albedo values of 0, 0.5, 0.9 and for spectral values of the sandy surface. Four values of solar zenith angle: 0°, 30°, 40° and 60° are taken. The obtained values are compared with data of radiative airborne observations. Estimating the local instantaneous radiative forcing of atmospheric aerosols and clouds for considered models is presented together with the heating rate. More... »

PAGES

157-174

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00703-017-0561-6

DOI

http://dx.doi.org/10.1007/s00703-017-0561-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1093087523


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/2008/0299", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Other Physical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/02", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Physical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "A.M. Obukhov Institute of Atmospheric Physics", 
          "id": "https://www.grid.ac/institutes/grid.459329.0", 
          "name": [
            "A.M.Obukhov Institute of Atmospheric Physics of Russian Academy of Sciences, Pyghevsky, 8, 119017, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Alexander", 
        "givenName": "Ginsburg", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Saint Petersburg State University", 
          "id": "https://www.grid.ac/institutes/grid.15447.33", 
          "name": [
            "Voeikov Main Geophysical Observatory, Karbysheva 7, 194021, St. Petersburg, Russia", 
            "St. Petersburg State University of Economics, Sadovaya 21, 191023, St. Petersburg, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Victor", 
        "givenName": "Frolkis", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Saint Petersburg State University", 
          "id": "https://www.grid.ac/institutes/grid.15447.33", 
          "name": [
            "St. Petersburg State University, Universitetskaya, 7/9, 199034, St. Petersburg, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Irina", 
        "givenName": "Melnikova", 
        "id": "sg:person.010026325256.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010026325256.43"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Russian State Hydrometeorological University", 
          "id": "https://www.grid.ac/institutes/grid.437539.f", 
          "name": [
            "Russian State Hydrometeorological University, Malookhtinsky, 98, 195196, St. Petersburg, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sergey", 
        "givenName": "Novikov", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Saint Petersburg State University", 
          "id": "https://www.grid.ac/institutes/grid.15447.33", 
          "name": [
            "St. Petersburg State University, Universitetskaya, 7/9, 199034, St. Petersburg, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dmitriy", 
        "givenName": "Samulenkov", 
        "id": "sg:person.013014227256.70", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013014227256.70"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Russian State Hydrometeorological University", 
          "id": "https://www.grid.ac/institutes/grid.437539.f", 
          "name": [
            "Russian State Hydrometeorological University, Malookhtinsky, 98, 195196, St. Petersburg, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Maxim", 
        "givenName": "Sapunov", 
        "id": "sg:person.014407170256.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014407170256.13"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1175/1520-0450(1994)033<0473:aotlvo>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001881115"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s0001433808030055", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001911044", 
          "https://doi.org/10.1134/s0001433808030055"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5194/acpd-6-1813-2006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003376595"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/jcli3710.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012004215"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2002jd002360", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015750623"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2002jd002674", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015913862"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s0001433807020065", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017617173", 
          "https://doi.org/10.1134/s0001433807020065"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5194/amt-5-557-2012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018028606"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0469(1990)047<0894:dotsao>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021687617"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.atmosenv.2016.06.067", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022227693"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01030265", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022595490", 
          "https://doi.org/10.1007/bf01030265"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/qj.49712253204", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034135722"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5194/acpd-13-16211-2013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035635964"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0469(1993)050<0247:caodrp>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037291986"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/01431169408954273", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038250423"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jastp.2015.04.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039726088"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0469(1976)033<2452:tdeafr>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046870477"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0469(1954)011<0431:tsc>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048221909"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/01431169508954515", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049885732"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/1998jd200048", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053716836"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/0143116031000115067", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058294332"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.267.5197.499", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062549531"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.273.5276.779", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062553816"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.4975584", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1097038399"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.3117043", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1098562227"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-04", 
    "datePublishedReg": "2019-04-01", 
    "description": "Simple optical models of clear and cloudy atmosphere are proposed. Four versions of atmospheric aerosols content are considered: a complete lack of aerosols in the atmosphere, low background concentration (500 cm\u22123), high concentrations (2000 cm\u22123) and very high content of particles (5000 cm\u22123). In a cloud scenario, the model of external mixture is assumed. The values of optical thickness and single scattering albedo for 13 wavelengths are calculated in the short wavelength range of 0.28\u20130.90 \u00b5m, with regard to the molecular absorption bands, that is simulated with triangle function. A comparison of the proposed optical parameters with results of various measurements and retrieval (lidar measurement, sampling, processing radiation measurements) is presented. For a cloudy atmosphere models of single-layer and two-layer atmosphere are proposed. It is found that cloud optical parameters with assuming the \u201cexternal mixture\u201d agrees with retrieved values from airborne observations. The results of calculating hemispherical fluxes of the reflected and transmitted solar radiation and the radiative divergence are obtained with the Delta-Eddington approach. The calculation is done for surface albedo values of 0, 0.5, 0.9 and for spectral values of the sandy surface. Four values of solar zenith angle: 0\u00b0, 30\u00b0, 40\u00b0 and 60\u00b0 are taken. The obtained values are compared with data of radiative airborne observations. Estimating the local instantaneous radiative forcing of atmospheric aerosols and clouds for considered models is presented together with the heating rate.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00703-017-0561-6", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.6740942", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1271293", 
        "issn": [
          "0177-7971", 
          "1436-5065"
        ], 
        "name": "Meteorology and Atmospheric Physics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "131"
      }
    ], 
    "name": "Convenient models of the atmosphere: optics and solar radiation", 
    "pagination": "157-174", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "33cd1ec76f925d8f325e0185ddab8bb705edd0c621ed12254a582eadfaf61847"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00703-017-0561-6"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1093087523"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00703-017-0561-6", 
      "https://app.dimensions.ai/details/publication/pub.1093087523"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:20", 
    "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/v90/0000000368_0000000368/records_78972_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs00703-017-0561-6"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00703-017-0561-6'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00703-017-0561-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00703-017-0561-6'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00703-017-0561-6'


 

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

181 TRIPLES      21 PREDICATES      52 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00703-017-0561-6 schema:about anzsrc-for:02
2 anzsrc-for:0299
3 schema:author N5d30b2db0bee4817a7cd87c073ced74a
4 schema:citation sg:pub.10.1007/bf01030265
5 sg:pub.10.1134/s0001433807020065
6 sg:pub.10.1134/s0001433808030055
7 https://doi.org/10.1002/qj.49712253204
8 https://doi.org/10.1016/j.atmosenv.2016.06.067
9 https://doi.org/10.1016/j.jastp.2015.04.011
10 https://doi.org/10.1029/1998jd200048
11 https://doi.org/10.1029/2002jd002360
12 https://doi.org/10.1029/2002jd002674
13 https://doi.org/10.1063/1.3117043
14 https://doi.org/10.1063/1.4975584
15 https://doi.org/10.1080/0143116031000115067
16 https://doi.org/10.1080/01431169408954273
17 https://doi.org/10.1080/01431169508954515
18 https://doi.org/10.1126/science.267.5197.499
19 https://doi.org/10.1126/science.273.5276.779
20 https://doi.org/10.1175/1520-0450(1994)033<0473:aotlvo>2.0.co;2
21 https://doi.org/10.1175/1520-0469(1954)011<0431:tsc>2.0.co;2
22 https://doi.org/10.1175/1520-0469(1976)033<2452:tdeafr>2.0.co;2
23 https://doi.org/10.1175/1520-0469(1990)047<0894:dotsao>2.0.co;2
24 https://doi.org/10.1175/1520-0469(1993)050<0247:caodrp>2.0.co;2
25 https://doi.org/10.1175/jcli3710.1
26 https://doi.org/10.5194/acpd-13-16211-2013
27 https://doi.org/10.5194/acpd-6-1813-2006
28 https://doi.org/10.5194/amt-5-557-2012
29 schema:datePublished 2019-04
30 schema:datePublishedReg 2019-04-01
31 schema:description Simple optical models of clear and cloudy atmosphere are proposed. Four versions of atmospheric aerosols content are considered: a complete lack of aerosols in the atmosphere, low background concentration (500 cm−3), high concentrations (2000 cm−3) and very high content of particles (5000 cm−3). In a cloud scenario, the model of external mixture is assumed. The values of optical thickness and single scattering albedo for 13 wavelengths are calculated in the short wavelength range of 0.28–0.90 µm, with regard to the molecular absorption bands, that is simulated with triangle function. A comparison of the proposed optical parameters with results of various measurements and retrieval (lidar measurement, sampling, processing radiation measurements) is presented. For a cloudy atmosphere models of single-layer and two-layer atmosphere are proposed. It is found that cloud optical parameters with assuming the “external mixture” agrees with retrieved values from airborne observations. The results of calculating hemispherical fluxes of the reflected and transmitted solar radiation and the radiative divergence are obtained with the Delta-Eddington approach. The calculation is done for surface albedo values of 0, 0.5, 0.9 and for spectral values of the sandy surface. Four values of solar zenith angle: 0°, 30°, 40° and 60° are taken. The obtained values are compared with data of radiative airborne observations. Estimating the local instantaneous radiative forcing of atmospheric aerosols and clouds for considered models is presented together with the heating rate.
32 schema:genre research_article
33 schema:inLanguage en
34 schema:isAccessibleForFree false
35 schema:isPartOf N0fb04c59a6784970b7cadb08df0b6dfa
36 N7dcbf17d73b043a68c8eba519e780c30
37 sg:journal.1271293
38 schema:name Convenient models of the atmosphere: optics and solar radiation
39 schema:pagination 157-174
40 schema:productId N0511644fdd7d470486f710f3873584c4
41 N1c11b8c51bd64e41b31c085eee7b70cf
42 N8b61241d49e1464ca88c032fff85fab6
43 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093087523
44 https://doi.org/10.1007/s00703-017-0561-6
45 schema:sdDatePublished 2019-04-11T13:20
46 schema:sdLicense https://scigraph.springernature.com/explorer/license/
47 schema:sdPublisher Nc7a0303e1e2d42588104b29cfab86ac6
48 schema:url https://link.springer.com/10.1007%2Fs00703-017-0561-6
49 sgo:license sg:explorer/license/
50 sgo:sdDataset articles
51 rdf:type schema:ScholarlyArticle
52 N0511644fdd7d470486f710f3873584c4 schema:name doi
53 schema:value 10.1007/s00703-017-0561-6
54 rdf:type schema:PropertyValue
55 N07a4ebc375854ff4af0a3dc229d2088d rdf:first sg:person.010026325256.43
56 rdf:rest Na6f54f4f1744455a90c754108a63c6ee
57 N0fb04c59a6784970b7cadb08df0b6dfa schema:issueNumber 2
58 rdf:type schema:PublicationIssue
59 N16254662301b4100a68ca09969c23ef7 rdf:first sg:person.013014227256.70
60 rdf:rest Nf226a448920b45f390482d636ad89cec
61 N1c11b8c51bd64e41b31c085eee7b70cf schema:name readcube_id
62 schema:value 33cd1ec76f925d8f325e0185ddab8bb705edd0c621ed12254a582eadfaf61847
63 rdf:type schema:PropertyValue
64 N231cfe8489a64f42b07061561b076723 schema:affiliation https://www.grid.ac/institutes/grid.459329.0
65 schema:familyName Alexander
66 schema:givenName Ginsburg
67 rdf:type schema:Person
68 N3c701478f7fa4e15a875b9d337c35aca rdf:first Na3294c59ab6e4ee9bae901ca9c4757cc
69 rdf:rest N07a4ebc375854ff4af0a3dc229d2088d
70 N5d30b2db0bee4817a7cd87c073ced74a rdf:first N231cfe8489a64f42b07061561b076723
71 rdf:rest N3c701478f7fa4e15a875b9d337c35aca
72 N7dcbf17d73b043a68c8eba519e780c30 schema:volumeNumber 131
73 rdf:type schema:PublicationVolume
74 N8b61241d49e1464ca88c032fff85fab6 schema:name dimensions_id
75 schema:value pub.1093087523
76 rdf:type schema:PropertyValue
77 Na3294c59ab6e4ee9bae901ca9c4757cc schema:affiliation https://www.grid.ac/institutes/grid.15447.33
78 schema:familyName Victor
79 schema:givenName Frolkis
80 rdf:type schema:Person
81 Na60b85a057c949699e15fe79da63d1fa schema:affiliation https://www.grid.ac/institutes/grid.437539.f
82 schema:familyName Sergey
83 schema:givenName Novikov
84 rdf:type schema:Person
85 Na6f54f4f1744455a90c754108a63c6ee rdf:first Na60b85a057c949699e15fe79da63d1fa
86 rdf:rest N16254662301b4100a68ca09969c23ef7
87 Nc7a0303e1e2d42588104b29cfab86ac6 schema:name Springer Nature - SN SciGraph project
88 rdf:type schema:Organization
89 Nf226a448920b45f390482d636ad89cec rdf:first sg:person.014407170256.13
90 rdf:rest rdf:nil
91 anzsrc-for:02 schema:inDefinedTermSet anzsrc-for:
92 schema:name Physical Sciences
93 rdf:type schema:DefinedTerm
94 anzsrc-for:0299 schema:inDefinedTermSet anzsrc-for:
95 schema:name Other Physical Sciences
96 rdf:type schema:DefinedTerm
97 sg:grant.6740942 http://pending.schema.org/fundedItem sg:pub.10.1007/s00703-017-0561-6
98 rdf:type schema:MonetaryGrant
99 sg:journal.1271293 schema:issn 0177-7971
100 1436-5065
101 schema:name Meteorology and Atmospheric Physics
102 rdf:type schema:Periodical
103 sg:person.010026325256.43 schema:affiliation https://www.grid.ac/institutes/grid.15447.33
104 schema:familyName Irina
105 schema:givenName Melnikova
106 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010026325256.43
107 rdf:type schema:Person
108 sg:person.013014227256.70 schema:affiliation https://www.grid.ac/institutes/grid.15447.33
109 schema:familyName Dmitriy
110 schema:givenName Samulenkov
111 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013014227256.70
112 rdf:type schema:Person
113 sg:person.014407170256.13 schema:affiliation https://www.grid.ac/institutes/grid.437539.f
114 schema:familyName Maxim
115 schema:givenName Sapunov
116 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014407170256.13
117 rdf:type schema:Person
118 sg:pub.10.1007/bf01030265 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022595490
119 https://doi.org/10.1007/bf01030265
120 rdf:type schema:CreativeWork
121 sg:pub.10.1134/s0001433807020065 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017617173
122 https://doi.org/10.1134/s0001433807020065
123 rdf:type schema:CreativeWork
124 sg:pub.10.1134/s0001433808030055 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001911044
125 https://doi.org/10.1134/s0001433808030055
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1002/qj.49712253204 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034135722
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1016/j.atmosenv.2016.06.067 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022227693
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1016/j.jastp.2015.04.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039726088
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1029/1998jd200048 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053716836
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1029/2002jd002360 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015750623
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1029/2002jd002674 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015913862
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1063/1.3117043 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098562227
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1063/1.4975584 schema:sameAs https://app.dimensions.ai/details/publication/pub.1097038399
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1080/0143116031000115067 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058294332
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1080/01431169408954273 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038250423
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1080/01431169508954515 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049885732
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1126/science.267.5197.499 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062549531
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1126/science.273.5276.779 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062553816
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1175/1520-0450(1994)033<0473:aotlvo>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001881115
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1175/1520-0469(1954)011<0431:tsc>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048221909
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1175/1520-0469(1976)033<2452:tdeafr>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046870477
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1175/1520-0469(1990)047<0894:dotsao>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021687617
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1175/1520-0469(1993)050<0247:caodrp>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037291986
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1175/jcli3710.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012004215
164 rdf:type schema:CreativeWork
165 https://doi.org/10.5194/acpd-13-16211-2013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035635964
166 rdf:type schema:CreativeWork
167 https://doi.org/10.5194/acpd-6-1813-2006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003376595
168 rdf:type schema:CreativeWork
169 https://doi.org/10.5194/amt-5-557-2012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018028606
170 rdf:type schema:CreativeWork
171 https://www.grid.ac/institutes/grid.15447.33 schema:alternateName Saint Petersburg State University
172 schema:name St. Petersburg State University of Economics, Sadovaya 21, 191023, St. Petersburg, Russia
173 St. Petersburg State University, Universitetskaya, 7/9, 199034, St. Petersburg, Russia
174 Voeikov Main Geophysical Observatory, Karbysheva 7, 194021, St. Petersburg, Russia
175 rdf:type schema:Organization
176 https://www.grid.ac/institutes/grid.437539.f schema:alternateName Russian State Hydrometeorological University
177 schema:name Russian State Hydrometeorological University, Malookhtinsky, 98, 195196, St. Petersburg, Russia
178 rdf:type schema:Organization
179 https://www.grid.ac/institutes/grid.459329.0 schema:alternateName A.M. Obukhov Institute of Atmospheric Physics
180 schema:name A.M.Obukhov Institute of Atmospheric Physics of Russian Academy of Sciences, Pyghevsky, 8, 119017, Moscow, Russia
181 rdf:type schema:Organization
 




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


...