Urban-focused weather and climate services in Hong Kong View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Tsz-cheung Lee, Wai-kin Wong, Kwong-hung Tam

ABSTRACT

Under the relentless pace of population growth and urban development, weather and climate services provided by the Hong Kong Observatory (HKO) since its establishment in 1883 have been evolving continuously with an increasing focus on the delivery of tailored information to meet the needs of special users and various stakeholders in the community. With meteorological observations at the headquarters of the Observatory dating back more than 130 years to 1884, the advent of automatic weather station network in the mid-1980s has significantly expanded the data coverage both in terms of spatial and temporal resolution. The establishment of the Community Weather Information Network in 2007 further extended the meteorological measurement to the school and community levels. Regular upper air soundings and the increasing availability of remote-sensing observations also enable the monitoring of meteorological parameters beyond the near-surface levels through the depth of the atmosphere. By integrating comprehensive weather observations and numerical weather prediction products, HKO now provides a wide range of forecasts covering multi-time scales and warnings and advisories for high-impact weather such as tropical cyclone, thunderstorm, heavy rain, landslide, flooding, and cold and very hot weather. Riding on the advances in communication technology in recent decades, members of the public have gained improved access to the latest weather warnings, advisories, weather information, and forecast for the next couple of hours to 9 days ahead, as well as forecasts near users’ locations through HKO’s website and mobile app. In addition to information for public consumption, HKO’s services and products have been tailored in support of weather-sensitive operations such as those provided to users in the aviation and marine communities. In the process of such diversified development, HKO has successfully cultivated close partnerships with various stakeholders to enhance its weather and climate services by embracing the spirit of the Big Data and smart city concept in recent years, in particular in areas related to energy, water, health, and disaster risk reduction. In this paper, a review of the weather and climate services focusing on the urban aspects in Hong Kong will be presented, with examples illustrating specific applications in different sectors. Future thrusts in enhancing and integrating the urban weather and climate services for Hong Kong in the Big Data era under the Climate Friendly Demonstration City initiative and impact-based forecast approach promulgated by the World Meteorological Organization will also be discussed. More... »

PAGES

18

Journal

TITLE

Geoscience Letters

ISSUE

1

VOLUME

5

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s40562-018-0119-6

DOI

http://dx.doi.org/10.1186/s40562-018-0119-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1105979830


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0401", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Atmospheric Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/04", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Earth Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "Hong Kong Observatory, 134A Nathan Road, Tsimshatsui, Kowloon, Hong Kong"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Tsz-cheung", 
        "id": "sg:person.010020766251.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010020766251.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Hong Kong Observatory, 134A Nathan Road, Tsimshatsui, Kowloon, Hong Kong"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wong", 
        "givenName": "Wai-kin", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Hong Kong Observatory, 134A Nathan Road, Tsimshatsui, Kowloon, Hong Kong"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tam", 
        "givenName": "Kwong-hung", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s13351-014-4048-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000677837", 
          "https://doi.org/10.1007/s13351-014-4048-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jmv.21551", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004090127"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jmv.21551", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004090127"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/2007jtecha1057.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009366653"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/wea.1883", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010892706"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13351-011-0001-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023364495", 
          "https://doi.org/10.1007/s13351-011-0001-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1155/2013/532475", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029175492"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00484-015-1094-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030270532", 
          "https://doi.org/10.1007/s00484-015-1094-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13351-011-0003-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037505144", 
          "https://doi.org/10.1007/s13351-011-0003-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/joc.2238", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038892821"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tvjl.2009.07.037", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040756083"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/joc.4551", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045551326"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/met.1534", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045803573"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00484-014-0831-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046590397", 
          "https://doi.org/10.1007/s00484-014-0831-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/mwr3120.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047481795"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3354/cr01133", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071158953"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/atmos8030048", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083908070"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.uclim.2017.05.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090281449"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-12", 
    "datePublishedReg": "2018-12-01", 
    "description": "Under the relentless pace of population growth and urban development, weather and climate services provided by the Hong Kong Observatory (HKO) since its establishment in 1883 have been evolving continuously with an increasing focus on the delivery of tailored information to meet the needs of special users and various stakeholders in the community. With meteorological observations at the headquarters of the Observatory dating back more than 130 years to 1884, the advent of automatic weather station network in the mid-1980s has significantly expanded the data coverage both in terms of spatial and temporal resolution. The establishment of the Community Weather Information Network in 2007 further extended the meteorological measurement to the school and community levels. Regular upper air soundings and the increasing availability of remote-sensing observations also enable the monitoring of meteorological parameters beyond the near-surface levels through the depth of the atmosphere. By integrating comprehensive weather observations and numerical weather prediction products, HKO now provides a wide range of forecasts covering multi-time scales and warnings and advisories for high-impact weather such as tropical cyclone, thunderstorm, heavy rain, landslide, flooding, and cold and very hot weather. Riding on the advances in communication technology in recent decades, members of the public have gained improved access to the latest weather warnings, advisories, weather information, and forecast for the next couple of hours to 9 days ahead, as well as forecasts near users\u2019 locations through HKO\u2019s website and mobile app. In addition to information for public consumption, HKO\u2019s services and products have been tailored in support of weather-sensitive operations such as those provided to users in the aviation and marine communities. In the process of such diversified development, HKO has successfully cultivated close partnerships with various stakeholders to enhance its weather and climate services by embracing the spirit of the Big Data and smart city concept in recent years, in particular in areas related to energy, water, health, and disaster risk reduction. In this paper, a review of the weather and climate services focusing on the urban aspects in Hong Kong will be presented, with examples illustrating specific applications in different sectors. Future thrusts in enhancing and integrating the urban weather and climate services for Hong Kong in the Big Data era under the Climate Friendly Demonstration City initiative and impact-based forecast approach promulgated by the World Meteorological Organization will also be discussed.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s40562-018-0119-6", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1136511", 
        "issn": [
          "2196-4092"
        ], 
        "name": "Geoscience Letters", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "5"
      }
    ], 
    "name": "Urban-focused weather and climate services in Hong Kong", 
    "pagination": "18", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "c75c433937b63dd20ee2c3289e076ba471fcbd694f37810827886bb05545857a"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s40562-018-0119-6"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1105979830"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s40562-018-0119-6", 
      "https://app.dimensions.ai/details/publication/pub.1105979830"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:16", 
    "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/v90/0000000348_0000000348/records_54301_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs40562-018-0119-6"
  }
]
 

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.10.1186/s40562-018-0119-6'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s40562-018-0119-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s40562-018-0119-6'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s40562-018-0119-6'


 

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

131 TRIPLES      21 PREDICATES      44 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s40562-018-0119-6 schema:about anzsrc-for:04
2 anzsrc-for:0401
3 schema:author Ne71d2215702049a5a89fa40e10caefb5
4 schema:citation sg:pub.10.1007/s00484-014-0831-7
5 sg:pub.10.1007/s00484-015-1094-7
6 sg:pub.10.1007/s13351-011-0001-3
7 sg:pub.10.1007/s13351-011-0003-1
8 sg:pub.10.1007/s13351-014-4048-9
9 https://doi.org/10.1002/jmv.21551
10 https://doi.org/10.1002/joc.2238
11 https://doi.org/10.1002/joc.4551
12 https://doi.org/10.1002/met.1534
13 https://doi.org/10.1002/wea.1883
14 https://doi.org/10.1016/j.tvjl.2009.07.037
15 https://doi.org/10.1016/j.uclim.2017.05.004
16 https://doi.org/10.1155/2013/532475
17 https://doi.org/10.1175/2007jtecha1057.1
18 https://doi.org/10.1175/mwr3120.1
19 https://doi.org/10.3354/cr01133
20 https://doi.org/10.3390/atmos8030048
21 schema:datePublished 2018-12
22 schema:datePublishedReg 2018-12-01
23 schema:description Under the relentless pace of population growth and urban development, weather and climate services provided by the Hong Kong Observatory (HKO) since its establishment in 1883 have been evolving continuously with an increasing focus on the delivery of tailored information to meet the needs of special users and various stakeholders in the community. With meteorological observations at the headquarters of the Observatory dating back more than 130 years to 1884, the advent of automatic weather station network in the mid-1980s has significantly expanded the data coverage both in terms of spatial and temporal resolution. The establishment of the Community Weather Information Network in 2007 further extended the meteorological measurement to the school and community levels. Regular upper air soundings and the increasing availability of remote-sensing observations also enable the monitoring of meteorological parameters beyond the near-surface levels through the depth of the atmosphere. By integrating comprehensive weather observations and numerical weather prediction products, HKO now provides a wide range of forecasts covering multi-time scales and warnings and advisories for high-impact weather such as tropical cyclone, thunderstorm, heavy rain, landslide, flooding, and cold and very hot weather. Riding on the advances in communication technology in recent decades, members of the public have gained improved access to the latest weather warnings, advisories, weather information, and forecast for the next couple of hours to 9 days ahead, as well as forecasts near users’ locations through HKO’s website and mobile app. In addition to information for public consumption, HKO’s services and products have been tailored in support of weather-sensitive operations such as those provided to users in the aviation and marine communities. In the process of such diversified development, HKO has successfully cultivated close partnerships with various stakeholders to enhance its weather and climate services by embracing the spirit of the Big Data and smart city concept in recent years, in particular in areas related to energy, water, health, and disaster risk reduction. In this paper, a review of the weather and climate services focusing on the urban aspects in Hong Kong will be presented, with examples illustrating specific applications in different sectors. Future thrusts in enhancing and integrating the urban weather and climate services for Hong Kong in the Big Data era under the Climate Friendly Demonstration City initiative and impact-based forecast approach promulgated by the World Meteorological Organization will also be discussed.
24 schema:genre research_article
25 schema:inLanguage en
26 schema:isAccessibleForFree true
27 schema:isPartOf Ncc7d2e293c6141068a3ae79e8900999c
28 Ncf3675c5c0eb4b4981e281bbac6f95cf
29 sg:journal.1136511
30 schema:name Urban-focused weather and climate services in Hong Kong
31 schema:pagination 18
32 schema:productId N8066a00b38ca4bba9a107d7820d0d33c
33 Ncfccc05d5dc643df811aa10eedd911e6
34 Nfe28cdb6949e49e69aba3f97e870e696
35 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105979830
36 https://doi.org/10.1186/s40562-018-0119-6
37 schema:sdDatePublished 2019-04-11T10:16
38 schema:sdLicense https://scigraph.springernature.com/explorer/license/
39 schema:sdPublisher N94bd50ed10b94b83b478164f9a251309
40 schema:url https://link.springer.com/10.1186%2Fs40562-018-0119-6
41 sgo:license sg:explorer/license/
42 sgo:sdDataset articles
43 rdf:type schema:ScholarlyArticle
44 N2de44d8093c84bb0818098bf32070b4e rdf:first N5d15d59740e34194b3c3730efd716e9e
45 rdf:rest Nbfa5f5c9d1f144dfab2cccdda8257cad
46 N59c1de0f1e4e46168aed6ab0ae95a3c6 schema:affiliation N6f8adb5f69ff41548668c461fe788a83
47 schema:familyName Tam
48 schema:givenName Kwong-hung
49 rdf:type schema:Person
50 N5a10e9dbb75744a8aea3bb95a423f2a6 schema:name Hong Kong Observatory, 134A Nathan Road, Tsimshatsui, Kowloon, Hong Kong
51 rdf:type schema:Organization
52 N5d15d59740e34194b3c3730efd716e9e schema:affiliation Nd09e07f2fa45498e9ab5a4e7d5a939dc
53 schema:familyName Wong
54 schema:givenName Wai-kin
55 rdf:type schema:Person
56 N6f8adb5f69ff41548668c461fe788a83 schema:name Hong Kong Observatory, 134A Nathan Road, Tsimshatsui, Kowloon, Hong Kong
57 rdf:type schema:Organization
58 N8066a00b38ca4bba9a107d7820d0d33c schema:name dimensions_id
59 schema:value pub.1105979830
60 rdf:type schema:PropertyValue
61 N94bd50ed10b94b83b478164f9a251309 schema:name Springer Nature - SN SciGraph project
62 rdf:type schema:Organization
63 Nbfa5f5c9d1f144dfab2cccdda8257cad rdf:first N59c1de0f1e4e46168aed6ab0ae95a3c6
64 rdf:rest rdf:nil
65 Ncc7d2e293c6141068a3ae79e8900999c schema:issueNumber 1
66 rdf:type schema:PublicationIssue
67 Ncf3675c5c0eb4b4981e281bbac6f95cf schema:volumeNumber 5
68 rdf:type schema:PublicationVolume
69 Ncfccc05d5dc643df811aa10eedd911e6 schema:name readcube_id
70 schema:value c75c433937b63dd20ee2c3289e076ba471fcbd694f37810827886bb05545857a
71 rdf:type schema:PropertyValue
72 Nd09e07f2fa45498e9ab5a4e7d5a939dc schema:name Hong Kong Observatory, 134A Nathan Road, Tsimshatsui, Kowloon, Hong Kong
73 rdf:type schema:Organization
74 Ne71d2215702049a5a89fa40e10caefb5 rdf:first sg:person.010020766251.24
75 rdf:rest N2de44d8093c84bb0818098bf32070b4e
76 Nfe28cdb6949e49e69aba3f97e870e696 schema:name doi
77 schema:value 10.1186/s40562-018-0119-6
78 rdf:type schema:PropertyValue
79 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
80 schema:name Earth Sciences
81 rdf:type schema:DefinedTerm
82 anzsrc-for:0401 schema:inDefinedTermSet anzsrc-for:
83 schema:name Atmospheric Sciences
84 rdf:type schema:DefinedTerm
85 sg:journal.1136511 schema:issn 2196-4092
86 schema:name Geoscience Letters
87 rdf:type schema:Periodical
88 sg:person.010020766251.24 schema:affiliation N5a10e9dbb75744a8aea3bb95a423f2a6
89 schema:familyName Lee
90 schema:givenName Tsz-cheung
91 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010020766251.24
92 rdf:type schema:Person
93 sg:pub.10.1007/s00484-014-0831-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046590397
94 https://doi.org/10.1007/s00484-014-0831-7
95 rdf:type schema:CreativeWork
96 sg:pub.10.1007/s00484-015-1094-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030270532
97 https://doi.org/10.1007/s00484-015-1094-7
98 rdf:type schema:CreativeWork
99 sg:pub.10.1007/s13351-011-0001-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023364495
100 https://doi.org/10.1007/s13351-011-0001-3
101 rdf:type schema:CreativeWork
102 sg:pub.10.1007/s13351-011-0003-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037505144
103 https://doi.org/10.1007/s13351-011-0003-1
104 rdf:type schema:CreativeWork
105 sg:pub.10.1007/s13351-014-4048-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000677837
106 https://doi.org/10.1007/s13351-014-4048-9
107 rdf:type schema:CreativeWork
108 https://doi.org/10.1002/jmv.21551 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004090127
109 rdf:type schema:CreativeWork
110 https://doi.org/10.1002/joc.2238 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038892821
111 rdf:type schema:CreativeWork
112 https://doi.org/10.1002/joc.4551 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045551326
113 rdf:type schema:CreativeWork
114 https://doi.org/10.1002/met.1534 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045803573
115 rdf:type schema:CreativeWork
116 https://doi.org/10.1002/wea.1883 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010892706
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1016/j.tvjl.2009.07.037 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040756083
119 rdf:type schema:CreativeWork
120 https://doi.org/10.1016/j.uclim.2017.05.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090281449
121 rdf:type schema:CreativeWork
122 https://doi.org/10.1155/2013/532475 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029175492
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1175/2007jtecha1057.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009366653
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1175/mwr3120.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047481795
127 rdf:type schema:CreativeWork
128 https://doi.org/10.3354/cr01133 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071158953
129 rdf:type schema:CreativeWork
130 https://doi.org/10.3390/atmos8030048 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083908070
131 rdf:type schema:CreativeWork
 




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


...