A new approach in temporal-spatial reconstruction and synoptic analysis of cold waves in the northwest of Iran View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-08-23

AUTHORS

Mehdi Aalijahan, Bromand Salahi, Yousef Ghavidel Rahimi, Manuchehr Farajzadeh Asl

ABSTRACT

The present paper intends to reconstruct temporal-spatial patterns of below − 15 °C cold waves in the northwest of Iran and carry out a synoptic analysis of the patterns of these cold waves. Carrying out research on this topic can assist researchers and the state authorities in solving problems of different spheres of society, such as agriculture, economics, public health, etc., since cold waves can affect health problems in society and frosts can inflict severe damages to the agricultural crops and thereby lead to serious economic losses. For the purpose of this paper, a data corpus related to a period of 142 years from 1871 to 2012 was obtained from the relevant twentieth-century data banks of NOAA. Having sorted out the relevant data, cold waves of − 15 °C as well as cold waves of below − 15 °C were identified in the first place. Then, the identified cold wave patterns were classified and synoptically analyzed. The results revealed that, at the sea level, high-pressure waves from Siberia, west and northern regions coupled with the atmospheric blockings and the northern airflow in the upper levels of the atmosphere, led to transition of cold waves from northern latitudes to the northwest regions of Iran, resulting in very intense and long-lasting cold waves. More... »

PAGES

341-352

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00704-018-2601-7

DOI

http://dx.doi.org/10.1007/s00704-018-2601-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1106322807


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

JSON-LD is the canonical representation for SciGraph data.

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

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/04", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Earth Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0401", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Atmospheric Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Mohaghegh Ardabili, Ardabil, Iran", 
          "id": "http://www.grid.ac/institutes/grid.413026.2", 
          "name": [
            "University of Mohaghegh Ardabili, Ardabil, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Aalijahan", 
        "givenName": "Mehdi", 
        "id": "sg:person.015431777324.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015431777324.33"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Physical Geography, University of Mohaghegh Ardabili, Ardabil, Iran", 
          "id": "http://www.grid.ac/institutes/grid.413026.2", 
          "name": [
            "Department of Physical Geography, University of Mohaghegh Ardabili, Ardabil, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Salahi", 
        "givenName": "Bromand", 
        "id": "sg:person.07367054061.31", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07367054061.31"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Physical Geography, Tarbiat Modares University, Tehran, Iran", 
          "id": "http://www.grid.ac/institutes/grid.412266.5", 
          "name": [
            "Department of Physical Geography, Tarbiat Modares University, Tehran, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rahimi", 
        "givenName": "Yousef Ghavidel", 
        "id": "sg:person.016355227263.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016355227263.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Physical Geography, Tarbiat Modares University, Tehran, Iran", 
          "id": "http://www.grid.ac/institutes/grid.412266.5", 
          "name": [
            "Department of Physical Geography, Tarbiat Modares University, Tehran, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Asl", 
        "givenName": "Manuchehr Farajzadeh", 
        "id": "sg:person.013626251754.14", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013626251754.14"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s007040070013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004578578", 
          "https://doi.org/10.1007/s007040070013"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00382-013-1817-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040430259", 
          "https://doi.org/10.1007/s00382-013-1817-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02918484", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011086644", 
          "https://doi.org/10.1007/bf02918484"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00704-011-0495-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036591954", 
          "https://doi.org/10.1007/s00704-011-0495-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00382-015-2877-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034723942", 
          "https://doi.org/10.1007/s00382-015-2877-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/3-540-28862-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008744771", 
          "https://doi.org/10.1007/3-540-28862-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00704-014-1154-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005933592", 
          "https://doi.org/10.1007/s00704-014-1154-7"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-08-23", 
    "datePublishedReg": "2018-08-23", 
    "description": "The present paper intends to reconstruct temporal-spatial patterns of below \u2212\u200915\u00a0\u00b0C cold waves in the northwest of Iran and carry out a synoptic analysis of the patterns of these cold waves. Carrying out research on this topic can assist researchers and the state authorities in solving problems of different spheres of society, such as agriculture, economics, public health, etc., since cold waves can affect health problems in society and frosts can inflict severe damages to the agricultural crops and thereby lead to serious economic losses. For the purpose of this paper, a data corpus related to a period of 142\u00a0years from 1871 to 2012 was obtained from the relevant twentieth-century data banks of NOAA. Having sorted out the relevant data, cold waves of \u2212\u200915\u00a0\u00b0C as well as cold waves of below \u2212\u200915\u00a0\u00b0C were identified in the first place. Then, the identified cold wave patterns were classified and synoptically analyzed. The results revealed that, at the sea level, high-pressure waves from Siberia, west and northern regions coupled with the atmospheric blockings and the northern airflow in the upper levels of the atmosphere, led to transition of cold waves from northern latitudes to the northwest regions of Iran, resulting in very intense and long-lasting cold waves.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s00704-018-2601-7", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1086664", 
        "issn": [
          "0177-798X", 
          "1434-4483"
        ], 
        "name": "Theoretical and Applied Climatology", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1-2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "137"
      }
    ], 
    "keywords": [
      "cold waves", 
      "synoptic analysis", 
      "northwest of Iran", 
      "temporal-spatial patterns", 
      "atmospheric blocking", 
      "sea level", 
      "northern latitudes", 
      "northern region", 
      "upper level", 
      "northwest region", 
      "northwest", 
      "wave patterns", 
      "waves", 
      "Iran", 
      "severe damage", 
      "NOAA", 
      "Siberia", 
      "latitudes", 
      "West", 
      "region", 
      "atmosphere", 
      "frost", 
      "patterns", 
      "economic losses", 
      "agricultural crops", 
      "reconstruction", 
      "agriculture", 
      "period", 
      "airflow", 
      "banks", 
      "data", 
      "blocking", 
      "place", 
      "analysis", 
      "present paper", 
      "years", 
      "transition", 
      "high pressure waves", 
      "new approach", 
      "crops", 
      "relevant data", 
      "levels", 
      "results", 
      "serious economic losses", 
      "Data Bank", 
      "loss", 
      "first place", 
      "paper", 
      "different spheres", 
      "public health", 
      "research", 
      "approach", 
      "damage", 
      "problem", 
      "purpose", 
      "authorities", 
      "society", 
      "topic", 
      "researchers", 
      "health", 
      "sphere", 
      "state authorities", 
      "economics", 
      "health problems", 
      "corpus", 
      "data corpus"
    ], 
    "name": "A new approach in temporal-spatial reconstruction and synoptic analysis of cold waves in the northwest of Iran", 
    "pagination": "341-352", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1106322807"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00704-018-2601-7"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00704-018-2601-7", 
      "https://app.dimensions.ai/details/publication/pub.1106322807"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-08-04T17:06", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220804/entities/gbq_results/article/article_759.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s00704-018-2601-7"
  }
]
 

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/s00704-018-2601-7'

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/s00704-018-2601-7'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00704-018-2601-7'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00704-018-2601-7'


 

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

177 TRIPLES      21 PREDICATES      97 URIs      82 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00704-018-2601-7 schema:about anzsrc-for:04
2 anzsrc-for:0401
3 schema:author N86436658d276428f9ff4fa2245b538db
4 schema:citation sg:pub.10.1007/3-540-28862-7
5 sg:pub.10.1007/bf02918484
6 sg:pub.10.1007/s00382-013-1817-6
7 sg:pub.10.1007/s00382-015-2877-6
8 sg:pub.10.1007/s00704-011-0495-8
9 sg:pub.10.1007/s00704-014-1154-7
10 sg:pub.10.1007/s007040070013
11 schema:datePublished 2018-08-23
12 schema:datePublishedReg 2018-08-23
13 schema:description The present paper intends to reconstruct temporal-spatial patterns of below − 15 °C cold waves in the northwest of Iran and carry out a synoptic analysis of the patterns of these cold waves. Carrying out research on this topic can assist researchers and the state authorities in solving problems of different spheres of society, such as agriculture, economics, public health, etc., since cold waves can affect health problems in society and frosts can inflict severe damages to the agricultural crops and thereby lead to serious economic losses. For the purpose of this paper, a data corpus related to a period of 142 years from 1871 to 2012 was obtained from the relevant twentieth-century data banks of NOAA. Having sorted out the relevant data, cold waves of − 15 °C as well as cold waves of below − 15 °C were identified in the first place. Then, the identified cold wave patterns were classified and synoptically analyzed. The results revealed that, at the sea level, high-pressure waves from Siberia, west and northern regions coupled with the atmospheric blockings and the northern airflow in the upper levels of the atmosphere, led to transition of cold waves from northern latitudes to the northwest regions of Iran, resulting in very intense and long-lasting cold waves.
14 schema:genre article
15 schema:isAccessibleForFree false
16 schema:isPartOf N87fe95921be24d79a6eccdf981ab7fb5
17 N8c8d5a40803e4b0eb8d523e914ba7add
18 sg:journal.1086664
19 schema:keywords Data Bank
20 Iran
21 NOAA
22 Siberia
23 West
24 agricultural crops
25 agriculture
26 airflow
27 analysis
28 approach
29 atmosphere
30 atmospheric blocking
31 authorities
32 banks
33 blocking
34 cold waves
35 corpus
36 crops
37 damage
38 data
39 data corpus
40 different spheres
41 economic losses
42 economics
43 first place
44 frost
45 health
46 health problems
47 high pressure waves
48 latitudes
49 levels
50 loss
51 new approach
52 northern latitudes
53 northern region
54 northwest
55 northwest of Iran
56 northwest region
57 paper
58 patterns
59 period
60 place
61 present paper
62 problem
63 public health
64 purpose
65 reconstruction
66 region
67 relevant data
68 research
69 researchers
70 results
71 sea level
72 serious economic losses
73 severe damage
74 society
75 sphere
76 state authorities
77 synoptic analysis
78 temporal-spatial patterns
79 topic
80 transition
81 upper level
82 wave patterns
83 waves
84 years
85 schema:name A new approach in temporal-spatial reconstruction and synoptic analysis of cold waves in the northwest of Iran
86 schema:pagination 341-352
87 schema:productId N44b29e1415814534b5f357aaea909000
88 N46790ec26803480da1628edd69e60679
89 schema:sameAs https://app.dimensions.ai/details/publication/pub.1106322807
90 https://doi.org/10.1007/s00704-018-2601-7
91 schema:sdDatePublished 2022-08-04T17:06
92 schema:sdLicense https://scigraph.springernature.com/explorer/license/
93 schema:sdPublisher N104a134741fb4817810bb4dc3a5185ac
94 schema:url https://doi.org/10.1007/s00704-018-2601-7
95 sgo:license sg:explorer/license/
96 sgo:sdDataset articles
97 rdf:type schema:ScholarlyArticle
98 N104a134741fb4817810bb4dc3a5185ac schema:name Springer Nature - SN SciGraph project
99 rdf:type schema:Organization
100 N23ba6fe1498a4af0a2f8b1ac8b986628 rdf:first sg:person.016355227263.44
101 rdf:rest N7911cd80f4fa415b8c3be9ca3f534758
102 N44b29e1415814534b5f357aaea909000 schema:name dimensions_id
103 schema:value pub.1106322807
104 rdf:type schema:PropertyValue
105 N46790ec26803480da1628edd69e60679 schema:name doi
106 schema:value 10.1007/s00704-018-2601-7
107 rdf:type schema:PropertyValue
108 N5a1ce8bfd37d482eba50ce2c869dd146 rdf:first sg:person.07367054061.31
109 rdf:rest N23ba6fe1498a4af0a2f8b1ac8b986628
110 N7911cd80f4fa415b8c3be9ca3f534758 rdf:first sg:person.013626251754.14
111 rdf:rest rdf:nil
112 N86436658d276428f9ff4fa2245b538db rdf:first sg:person.015431777324.33
113 rdf:rest N5a1ce8bfd37d482eba50ce2c869dd146
114 N87fe95921be24d79a6eccdf981ab7fb5 schema:issueNumber 1-2
115 rdf:type schema:PublicationIssue
116 N8c8d5a40803e4b0eb8d523e914ba7add schema:volumeNumber 137
117 rdf:type schema:PublicationVolume
118 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
119 schema:name Earth Sciences
120 rdf:type schema:DefinedTerm
121 anzsrc-for:0401 schema:inDefinedTermSet anzsrc-for:
122 schema:name Atmospheric Sciences
123 rdf:type schema:DefinedTerm
124 sg:journal.1086664 schema:issn 0177-798X
125 1434-4483
126 schema:name Theoretical and Applied Climatology
127 schema:publisher Springer Nature
128 rdf:type schema:Periodical
129 sg:person.013626251754.14 schema:affiliation grid-institutes:grid.412266.5
130 schema:familyName Asl
131 schema:givenName Manuchehr Farajzadeh
132 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013626251754.14
133 rdf:type schema:Person
134 sg:person.015431777324.33 schema:affiliation grid-institutes:grid.413026.2
135 schema:familyName Aalijahan
136 schema:givenName Mehdi
137 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015431777324.33
138 rdf:type schema:Person
139 sg:person.016355227263.44 schema:affiliation grid-institutes:grid.412266.5
140 schema:familyName Rahimi
141 schema:givenName Yousef Ghavidel
142 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016355227263.44
143 rdf:type schema:Person
144 sg:person.07367054061.31 schema:affiliation grid-institutes:grid.413026.2
145 schema:familyName Salahi
146 schema:givenName Bromand
147 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07367054061.31
148 rdf:type schema:Person
149 sg:pub.10.1007/3-540-28862-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008744771
150 https://doi.org/10.1007/3-540-28862-7
151 rdf:type schema:CreativeWork
152 sg:pub.10.1007/bf02918484 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011086644
153 https://doi.org/10.1007/bf02918484
154 rdf:type schema:CreativeWork
155 sg:pub.10.1007/s00382-013-1817-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040430259
156 https://doi.org/10.1007/s00382-013-1817-6
157 rdf:type schema:CreativeWork
158 sg:pub.10.1007/s00382-015-2877-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034723942
159 https://doi.org/10.1007/s00382-015-2877-6
160 rdf:type schema:CreativeWork
161 sg:pub.10.1007/s00704-011-0495-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036591954
162 https://doi.org/10.1007/s00704-011-0495-8
163 rdf:type schema:CreativeWork
164 sg:pub.10.1007/s00704-014-1154-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005933592
165 https://doi.org/10.1007/s00704-014-1154-7
166 rdf:type schema:CreativeWork
167 sg:pub.10.1007/s007040070013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004578578
168 https://doi.org/10.1007/s007040070013
169 rdf:type schema:CreativeWork
170 grid-institutes:grid.412266.5 schema:alternateName Department of Physical Geography, Tarbiat Modares University, Tehran, Iran
171 schema:name Department of Physical Geography, Tarbiat Modares University, Tehran, Iran
172 rdf:type schema:Organization
173 grid-institutes:grid.413026.2 schema:alternateName Department of Physical Geography, University of Mohaghegh Ardabili, Ardabil, Iran
174 University of Mohaghegh Ardabili, Ardabil, Iran
175 schema:name Department of Physical Geography, University of Mohaghegh Ardabili, Ardabil, Iran
176 University of Mohaghegh Ardabili, Ardabil, Iran
177 rdf:type schema:Organization
 




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


...