Modeling Study of Foehn Wind Events in Antarctic Peninsula with WRF Forced by CCSM View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-12

AUTHORS

Chongran Zhang, Jing Zhang

ABSTRACT

Significant changes have occurred in the Antarctic Peninsula (AP) including warmer temperatures, accelerated melting of glaciers, and breakup of ice shelves. This study uses the Weather Research and Forecasting model (WRF) forced by the Community Climate System Model 4 (CCSM) simulations to study foehn wind warming in AP. Weather systems responsible for generating the foehn events are two cyclonic systems that move toward and/or cross over AP. WRF simulates the movement of cyclonic systems and the resulting foehn wind warming that is absent in CCSM. It is found that the warming extent along a transect across the central AP toward Larsen C Ice Shelf (LCIS) varies during the simulation period and the maximum warming moves from near the base of leeward slopes to over 40 km away extending toward the attached LCIS. Our analysis suggests that the foehn wind warming is negatively correlated with the incoming air temperature and the mountain top temperature during periods without significant precipitation, in which isentropic drawdown is the dominant heating mechanism. On the other hand, when significant precipitation occurs along the windward side of AP, latent heating is the major heating mechanism evidenced by positive relations between the foehn wind warming and 1) incoming air temperature, 2) windward precipitation, and 3) latent heating. Foehn wind warming caused by isentropic drawdown also tends to be stronger than that caused by latent heating. Comparison of WRF simulations forced by original and corrected CCSM data indicates that foehn wind warming is stronger in the original CCSM forced simulation when no significant windward precipitation is present. The foehn wind warming becomes weaker in both simulations when there is significant windward precipitation. This suggests that model’s ability to resolve the foehn warming varies with the forcing data, but the precipitation impact on the leeward warming is consistent. More... »

PAGES

909-922

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s13351-018-8067-9

DOI

http://dx.doi.org/10.1007/s13351-018-8067-9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1110953365


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": {
          "alternateName": "North Carolina Agricultural and Technical State University", 
          "id": "https://www.grid.ac/institutes/grid.261037.1", 
          "name": [
            "Applied Science and Technology Program, North Carolina A & T State University, 27411, Greensboro, NC, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhang", 
        "givenName": "Chongran", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "North Carolina Agricultural and Technical State University", 
          "id": "https://www.grid.ac/institutes/grid.261037.1", 
          "name": [
            "Applied Science and Technology Program, North Carolina A & T State University, 27411, Greensboro, NC, USA", 
            "Department of Physics, North Carolina A & T State University, 27411, Greensboro, NC, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhang", 
        "givenName": "Jing", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1175/2008mwr2556.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000852085"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/bams-d-14-00194.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007136085"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2005gl023247", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008485240"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2005gl023247", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008485240"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/2007jcli1695.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011190977"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2008jd009944", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014642994"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/mwr3199.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015662366"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0493(2001)129<0569:caalsh>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019202006"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/2015jd023465", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019752713"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2003gl019160", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020221900"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature08471", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022260418", 
          "https://doi.org/10.1038/nature08471"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature08471", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022260418", 
          "https://doi.org/10.1038/nature08471"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/2007jas2498.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028143236"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5194/tc-4-77-2010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029233190"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/qj.2489", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029385470"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ngeo102", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031279988", 
          "https://doi.org/10.1038/ngeo102"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5194/acp-14-9481-2014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031557543"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/1520-0450(1970)009<0857:tmrows>2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040742951"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5194/tc-6-353-2012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048294499"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1175/jcli3844.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049196771"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1026021217991", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049566109", 
          "https://doi.org/10.1023/a:1026021217991"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1089768", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062448571"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1104235", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062451114"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1657/1523-0430(2006)038[0147:rtimco]2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068188805"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3189/172756500781833043", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071118255"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nclimate3359", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090948942", 
          "https://doi.org/10.1038/nclimate3359"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nclimate3359", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090948942", 
          "https://doi.org/10.1038/nclimate3359"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/cbo9780511754753", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1098711959"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-12", 
    "datePublishedReg": "2018-12-01", 
    "description": "Significant changes have occurred in the Antarctic Peninsula (AP) including warmer temperatures, accelerated melting of glaciers, and breakup of ice shelves. This study uses the Weather Research and Forecasting model (WRF) forced by the Community Climate System Model 4 (CCSM) simulations to study foehn wind warming in AP. Weather systems responsible for generating the foehn events are two cyclonic systems that move toward and/or cross over AP. WRF simulates the movement of cyclonic systems and the resulting foehn wind warming that is absent in CCSM. It is found that the warming extent along a transect across the central AP toward Larsen C Ice Shelf (LCIS) varies during the simulation period and the maximum warming moves from near the base of leeward slopes to over 40 km away extending toward the attached LCIS. Our analysis suggests that the foehn wind warming is negatively correlated with the incoming air temperature and the mountain top temperature during periods without significant precipitation, in which isentropic drawdown is the dominant heating mechanism. On the other hand, when significant precipitation occurs along the windward side of AP, latent heating is the major heating mechanism evidenced by positive relations between the foehn wind warming and 1) incoming air temperature, 2) windward precipitation, and 3) latent heating. Foehn wind warming caused by isentropic drawdown also tends to be stronger than that caused by latent heating. Comparison of WRF simulations forced by original and corrected CCSM data indicates that foehn wind warming is stronger in the original CCSM forced simulation when no significant windward precipitation is present. The foehn wind warming becomes weaker in both simulations when there is significant windward precipitation. This suggests that model\u2019s ability to resolve the foehn warming varies with the forcing data, but the precipitation impact on the leeward warming is consistent.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s13351-018-8067-9", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136449", 
        "issn": [
          "2095-6037", 
          "2198-0934"
        ], 
        "name": "Journal of Meteorological Research", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "6", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "32"
      }
    ], 
    "name": "Modeling Study of Foehn Wind Events in Antarctic Peninsula with WRF Forced by CCSM", 
    "pagination": "909-922", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "b8e5168236cfebcafc7967618893a0d52c442bea7b1ca8d9b824c02a15d967f3"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s13351-018-8067-9"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1110953365"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s13351-018-8067-9", 
      "https://app.dimensions.ai/details/publication/pub.1110953365"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T08:29", 
    "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/v90/0000000307_0000000307/records_42518_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs13351-018-8067-9"
  }
]
 

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/s13351-018-8067-9'

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/s13351-018-8067-9'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s13351-018-8067-9'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s13351-018-8067-9'


 

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

146 TRIPLES      21 PREDICATES      52 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s13351-018-8067-9 schema:about anzsrc-for:04
2 anzsrc-for:0401
3 schema:author N08efd7bdd36f4ddf850c48025791b638
4 schema:citation sg:pub.10.1023/a:1026021217991
5 sg:pub.10.1038/nature08471
6 sg:pub.10.1038/nclimate3359
7 sg:pub.10.1038/ngeo102
8 https://doi.org/10.1002/2015jd023465
9 https://doi.org/10.1002/qj.2489
10 https://doi.org/10.1017/cbo9780511754753
11 https://doi.org/10.1029/2003gl019160
12 https://doi.org/10.1029/2005gl023247
13 https://doi.org/10.1029/2008jd009944
14 https://doi.org/10.1126/science.1089768
15 https://doi.org/10.1126/science.1104235
16 https://doi.org/10.1175/1520-0450(1970)009<0857:tmrows>2.0.co;2
17 https://doi.org/10.1175/1520-0493(2001)129<0569:caalsh>2.0.co;2
18 https://doi.org/10.1175/2007jas2498.1
19 https://doi.org/10.1175/2007jcli1695.1
20 https://doi.org/10.1175/2008mwr2556.1
21 https://doi.org/10.1175/bams-d-14-00194.1
22 https://doi.org/10.1175/jcli3844.1
23 https://doi.org/10.1175/mwr3199.1
24 https://doi.org/10.1657/1523-0430(2006)038[0147:rtimco]2.0.co;2
25 https://doi.org/10.3189/172756500781833043
26 https://doi.org/10.5194/acp-14-9481-2014
27 https://doi.org/10.5194/tc-4-77-2010
28 https://doi.org/10.5194/tc-6-353-2012
29 schema:datePublished 2018-12
30 schema:datePublishedReg 2018-12-01
31 schema:description Significant changes have occurred in the Antarctic Peninsula (AP) including warmer temperatures, accelerated melting of glaciers, and breakup of ice shelves. This study uses the Weather Research and Forecasting model (WRF) forced by the Community Climate System Model 4 (CCSM) simulations to study foehn wind warming in AP. Weather systems responsible for generating the foehn events are two cyclonic systems that move toward and/or cross over AP. WRF simulates the movement of cyclonic systems and the resulting foehn wind warming that is absent in CCSM. It is found that the warming extent along a transect across the central AP toward Larsen C Ice Shelf (LCIS) varies during the simulation period and the maximum warming moves from near the base of leeward slopes to over 40 km away extending toward the attached LCIS. Our analysis suggests that the foehn wind warming is negatively correlated with the incoming air temperature and the mountain top temperature during periods without significant precipitation, in which isentropic drawdown is the dominant heating mechanism. On the other hand, when significant precipitation occurs along the windward side of AP, latent heating is the major heating mechanism evidenced by positive relations between the foehn wind warming and 1) incoming air temperature, 2) windward precipitation, and 3) latent heating. Foehn wind warming caused by isentropic drawdown also tends to be stronger than that caused by latent heating. Comparison of WRF simulations forced by original and corrected CCSM data indicates that foehn wind warming is stronger in the original CCSM forced simulation when no significant windward precipitation is present. The foehn wind warming becomes weaker in both simulations when there is significant windward precipitation. This suggests that model’s ability to resolve the foehn warming varies with the forcing data, but the precipitation impact on the leeward warming is consistent.
32 schema:genre research_article
33 schema:inLanguage en
34 schema:isAccessibleForFree false
35 schema:isPartOf N6d9b57ef5dd545209dba0840b677bb35
36 Na123633d34e24df299db6e5cd2d5ef9b
37 sg:journal.1136449
38 schema:name Modeling Study of Foehn Wind Events in Antarctic Peninsula with WRF Forced by CCSM
39 schema:pagination 909-922
40 schema:productId N440b66e20d1d44489a0b05ae924f0877
41 Nb3139d17d327466e9ec517d6a1874dea
42 Nb71cb8db537e4b969bd736eea5c71a79
43 schema:sameAs https://app.dimensions.ai/details/publication/pub.1110953365
44 https://doi.org/10.1007/s13351-018-8067-9
45 schema:sdDatePublished 2019-04-11T08:29
46 schema:sdLicense https://scigraph.springernature.com/explorer/license/
47 schema:sdPublisher Neefda52cee2e4e2697dea9c07a6f2ea7
48 schema:url https://link.springer.com/10.1007%2Fs13351-018-8067-9
49 sgo:license sg:explorer/license/
50 sgo:sdDataset articles
51 rdf:type schema:ScholarlyArticle
52 N08efd7bdd36f4ddf850c48025791b638 rdf:first N9a9c23a944174924804d892316e93dc2
53 rdf:rest N9e6debb8c1764f79aaa8333371fd3e71
54 N440b66e20d1d44489a0b05ae924f0877 schema:name doi
55 schema:value 10.1007/s13351-018-8067-9
56 rdf:type schema:PropertyValue
57 N463f6ed1b15a453c90d52eeaf75bafa4 schema:affiliation https://www.grid.ac/institutes/grid.261037.1
58 schema:familyName Zhang
59 schema:givenName Jing
60 rdf:type schema:Person
61 N6d9b57ef5dd545209dba0840b677bb35 schema:issueNumber 6
62 rdf:type schema:PublicationIssue
63 N9a9c23a944174924804d892316e93dc2 schema:affiliation https://www.grid.ac/institutes/grid.261037.1
64 schema:familyName Zhang
65 schema:givenName Chongran
66 rdf:type schema:Person
67 N9e6debb8c1764f79aaa8333371fd3e71 rdf:first N463f6ed1b15a453c90d52eeaf75bafa4
68 rdf:rest rdf:nil
69 Na123633d34e24df299db6e5cd2d5ef9b schema:volumeNumber 32
70 rdf:type schema:PublicationVolume
71 Nb3139d17d327466e9ec517d6a1874dea schema:name readcube_id
72 schema:value b8e5168236cfebcafc7967618893a0d52c442bea7b1ca8d9b824c02a15d967f3
73 rdf:type schema:PropertyValue
74 Nb71cb8db537e4b969bd736eea5c71a79 schema:name dimensions_id
75 schema:value pub.1110953365
76 rdf:type schema:PropertyValue
77 Neefda52cee2e4e2697dea9c07a6f2ea7 schema:name Springer Nature - SN SciGraph project
78 rdf:type schema:Organization
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.1136449 schema:issn 2095-6037
86 2198-0934
87 schema:name Journal of Meteorological Research
88 rdf:type schema:Periodical
89 sg:pub.10.1023/a:1026021217991 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049566109
90 https://doi.org/10.1023/a:1026021217991
91 rdf:type schema:CreativeWork
92 sg:pub.10.1038/nature08471 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022260418
93 https://doi.org/10.1038/nature08471
94 rdf:type schema:CreativeWork
95 sg:pub.10.1038/nclimate3359 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090948942
96 https://doi.org/10.1038/nclimate3359
97 rdf:type schema:CreativeWork
98 sg:pub.10.1038/ngeo102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031279988
99 https://doi.org/10.1038/ngeo102
100 rdf:type schema:CreativeWork
101 https://doi.org/10.1002/2015jd023465 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019752713
102 rdf:type schema:CreativeWork
103 https://doi.org/10.1002/qj.2489 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029385470
104 rdf:type schema:CreativeWork
105 https://doi.org/10.1017/cbo9780511754753 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098711959
106 rdf:type schema:CreativeWork
107 https://doi.org/10.1029/2003gl019160 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020221900
108 rdf:type schema:CreativeWork
109 https://doi.org/10.1029/2005gl023247 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008485240
110 rdf:type schema:CreativeWork
111 https://doi.org/10.1029/2008jd009944 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014642994
112 rdf:type schema:CreativeWork
113 https://doi.org/10.1126/science.1089768 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062448571
114 rdf:type schema:CreativeWork
115 https://doi.org/10.1126/science.1104235 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062451114
116 rdf:type schema:CreativeWork
117 https://doi.org/10.1175/1520-0450(1970)009<0857:tmrows>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040742951
118 rdf:type schema:CreativeWork
119 https://doi.org/10.1175/1520-0493(2001)129<0569:caalsh>2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019202006
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1175/2007jas2498.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028143236
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1175/2007jcli1695.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011190977
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1175/2008mwr2556.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000852085
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1175/bams-d-14-00194.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007136085
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1175/jcli3844.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049196771
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1175/mwr3199.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015662366
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1657/1523-0430(2006)038[0147:rtimco]2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068188805
134 rdf:type schema:CreativeWork
135 https://doi.org/10.3189/172756500781833043 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071118255
136 rdf:type schema:CreativeWork
137 https://doi.org/10.5194/acp-14-9481-2014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031557543
138 rdf:type schema:CreativeWork
139 https://doi.org/10.5194/tc-4-77-2010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029233190
140 rdf:type schema:CreativeWork
141 https://doi.org/10.5194/tc-6-353-2012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048294499
142 rdf:type schema:CreativeWork
143 https://www.grid.ac/institutes/grid.261037.1 schema:alternateName North Carolina Agricultural and Technical State University
144 schema:name Applied Science and Technology Program, North Carolina A & T State University, 27411, Greensboro, NC, USA
145 Department of Physics, North Carolina A & T State University, 27411, Greensboro, NC, USA
146 rdf:type schema:Organization
 




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


...