Projected Change—North Sea View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2016-09-01

AUTHORS

Corinna Schrum , Jason Lowe , H. E. Markus Meier , Iris Grabemann , Jason Holt , Moritz Mathis , Thomas Pohlmann , Morten D. Skogen , Andreas Sterl , Sarah Wakelin

ABSTRACT

Increasing numbers of regional climate change scenario assessments have become available for the North Sea. A critical review of the regional studies has helped identify robust changes, challenges, uncertainties and specific recommendations for future research. Coherent findings from the climate change impact studies reviewed in this chapter include overall increases in sea level and ocean temperature, a freshening of the North Sea, an increase in ocean acidification and a decrease in primary production. However, findings from multi-model ensembles show the amplitude and spatial pattern of the projected changes in sea level, temperature, salinity and primary production are not consistent among the various regional projections and remain uncertain. Different approaches are used to downscale global climate change impacts, each with advantages and disadvantages. Regardless of the downscaling method employed, the regional studies are ultimately affected by the forcing global climate models. Projecting regional climate change impacts on biogeochemistry and primary production is currently limited by a lack of consistent downscaling approaches for marine and terrestrial impacts. Substantial natural variability in the North Sea region from annual to multi-decadal time scales is a particular challenge for projecting regional climate change impacts. Natural variability dominates long-term trends in wind fields and strongly wind-influenced characteristics like local sea level, storm surges, surface waves, circulation and local transport pattern. Multi-decadal variations bias changes projected for 20- or 30-year time slices. Disentangling natural variations and regional climate change impacts is a remaining challenge for the North Sea and reliable predictions concerning strongly wind-influenced characteristics are impossible. More... »

PAGES

175-217

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-39745-0_6

DOI

http://dx.doi.org/10.1007/978-3-319-39745-0_6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1052870537


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"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0405", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Oceanography", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Institute of Coastal Research, Helmholtz-Zentrum Geesthacht, Geesthacht, Germany", 
          "id": "http://www.grid.ac/institutes/grid.24999.3f", 
          "name": [
            "Geophysical Institute, University of Bergen, Bergen, Norway", 
            "Institute of Coastal Research, Helmholtz-Zentrum Geesthacht, Geesthacht, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schrum", 
        "givenName": "Corinna", 
        "id": "sg:person.011422102265.58", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011422102265.58"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Met Office Hadley Centre, Exeter, UK", 
          "id": "http://www.grid.ac/institutes/grid.17100.37", 
          "name": [
            "Met Office Hadley Centre, Exeter, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lowe", 
        "givenName": "Jason", 
        "id": "sg:person.011066117233.90", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011066117233.90"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Physical Oceanography and Instrumentation, Leibniz-Institute for Baltic Sea Research (IOW), Rostock, Germany", 
          "id": "http://www.grid.ac/institutes/grid.423940.8", 
          "name": [
            "Research Department, Swedish Meteorological and Hydrological Institute, Norrk\u00f6ping, Sweden", 
            "Department of Physical Oceanography and Instrumentation, Leibniz-Institute for Baltic Sea Research (IOW), Rostock, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Meier", 
        "givenName": "H. E. Markus", 
        "id": "sg:person.0707624327.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0707624327.40"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Coastal Research, Helmholtz-Zentrum Geesthacht, Geesthacht, Germany", 
          "id": "http://www.grid.ac/institutes/grid.24999.3f", 
          "name": [
            "Institute of Coastal Research, Helmholtz-Zentrum Geesthacht, Geesthacht, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Grabemann", 
        "givenName": "Iris", 
        "id": "sg:person.07602456545.64", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07602456545.64"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Oceanography Centre, Liverpool, UK", 
          "id": "http://www.grid.ac/institutes/grid.418022.d", 
          "name": [
            "National Oceanography Centre, Liverpool, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Holt", 
        "givenName": "Jason", 
        "id": "sg:person.01056715244.82", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01056715244.82"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Max Planck Institute for Meteorology, Hamburg, Germany", 
          "id": "http://www.grid.ac/institutes/grid.450268.d", 
          "name": [
            "Max Planck Institute for Meteorology, Hamburg, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mathis", 
        "givenName": "Moritz", 
        "id": "sg:person.013667433537.88", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013667433537.88"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Oceanography, CEN, University of Hamburg, Hamburg, Germany", 
          "id": "http://www.grid.ac/institutes/grid.9026.d", 
          "name": [
            "Institute of Oceanography, CEN, University of Hamburg, Hamburg, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pohlmann", 
        "givenName": "Thomas", 
        "id": "sg:person.014042405127.37", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014042405127.37"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Marine Research (IMR), Bergen, Norway", 
          "id": "http://www.grid.ac/institutes/grid.10917.3e", 
          "name": [
            "Institute of Marine Research (IMR), Bergen, Norway"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Skogen", 
        "givenName": "Morten D.", 
        "id": "sg:person.07377201305.89", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07377201305.89"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Royal Netherlands Meteorological Institute (KNMI), De Bilt, The Netherlands", 
          "id": "http://www.grid.ac/institutes/grid.8653.8", 
          "name": [
            "Royal Netherlands Meteorological Institute (KNMI), De Bilt, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sterl", 
        "givenName": "Andreas", 
        "id": "sg:person.012545146466.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012545146466.04"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Oceanography Centre, Liverpool, UK", 
          "id": "http://www.grid.ac/institutes/grid.418022.d", 
          "name": [
            "National Oceanography Centre, Liverpool, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wakelin", 
        "givenName": "Sarah", 
        "id": "sg:person.0746327744.60", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0746327744.60"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2016-09-01", 
    "datePublishedReg": "2016-09-01", 
    "description": "Increasing numbers of regional climate change scenario assessments have become available for the North Sea. A critical review of the regional studies has helped identify robust changes, challenges, uncertainties and specific recommendations for future research. Coherent findings from the climate change impact studies reviewed in this chapter include overall increases in sea level and ocean temperature, a freshening of the North Sea, an increase in ocean acidification and a decrease in primary production. However, findings from multi-model ensembles show the amplitude and spatial pattern of the projected changes in sea level, temperature, salinity and primary production are not consistent among the various regional projections and remain uncertain. Different approaches are used to downscale global climate change impacts, each with advantages and disadvantages. Regardless of the downscaling method employed, the regional studies are ultimately affected by the forcing global climate models. Projecting regional climate change impacts on biogeochemistry and primary production is currently limited by a lack of consistent downscaling approaches for marine and terrestrial impacts. Substantial natural variability in the North Sea region from annual to multi-decadal time scales is a particular challenge for projecting regional climate change impacts. Natural variability dominates long-term trends in wind fields and strongly wind-influenced characteristics like local sea level, storm surges, surface waves, circulation and local transport pattern. Multi-decadal variations bias changes projected for 20- or 30-year time slices. Disentangling natural variations and regional climate change impacts is a remaining challenge for the North Sea and reliable predictions concerning strongly wind-influenced characteristics are impossible.", 
    "editor": [
      {
        "familyName": "Quante", 
        "givenName": "Markus", 
        "type": "Person"
      }, 
      {
        "familyName": "Colijn", 
        "givenName": "Franciscus", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-319-39745-0_6", 
    "isAccessibleForFree": true, 
    "isPartOf": {
      "isbn": [
        "978-3-319-39743-6", 
        "978-3-319-39745-0"
      ], 
      "name": "North Sea Region Climate Change Assessment", 
      "type": "Book"
    }, 
    "keywords": [
      "regional climate change impacts", 
      "climate change impacts", 
      "sea level", 
      "change impacts", 
      "North Sea", 
      "primary production", 
      "natural variability", 
      "multi-decadal time scales", 
      "climate change impact studies", 
      "regional studies", 
      "local sea level", 
      "global climate models", 
      "change impact studies", 
      "multi-model ensemble", 
      "substantial natural variability", 
      "North Sea region", 
      "global climate change impacts", 
      "long-term trends", 
      "climate models", 
      "ocean temperature", 
      "downscaling approach", 
      "regional projections", 
      "terrestrial impacts", 
      "transport patterns", 
      "ocean acidification", 
      "wind field", 
      "Sea region", 
      "time slices", 
      "Sea", 
      "impact studies", 
      "spatial patterns", 
      "time scales", 
      "surface waves", 
      "scenario assessment", 
      "robust changes", 
      "bias changes", 
      "natural variation", 
      "variability", 
      "overall increase", 
      "freshening", 
      "reliable prediction", 
      "biogeochemistry", 
      "storms", 
      "salinity", 
      "circulation", 
      "acidification", 
      "impact", 
      "changes", 
      "ensemble", 
      "temperature", 
      "patterns", 
      "coherent findings", 
      "waves", 
      "uncertainty", 
      "projections", 
      "variation", 
      "trends", 
      "region", 
      "scale", 
      "characteristics", 
      "amplitude", 
      "increase", 
      "prediction", 
      "production", 
      "particular challenges", 
      "model", 
      "field", 
      "study", 
      "decrease", 
      "different approaches", 
      "assessment", 
      "levels", 
      "slices", 
      "critical review", 
      "lack", 
      "approach", 
      "challenges", 
      "research", 
      "future research", 
      "method", 
      "chapter", 
      "number", 
      "specific recommendations", 
      "findings", 
      "advantages", 
      "review", 
      "recommendations", 
      "disadvantages"
    ], 
    "name": "Projected Change\u2014North Sea", 
    "pagination": "175-217", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1052870537"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-319-39745-0_6"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-319-39745-0_6", 
      "https://app.dimensions.ai/details/publication/pub.1052870537"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2022-11-24T21:15", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221124/entities/gbq_results/chapter/chapter_273.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-3-319-39745-0_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.10.1007/978-3-319-39745-0_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.10.1007/978-3-319-39745-0_6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-39745-0_6'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-39745-0_6'


 

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

242 TRIPLES      22 PREDICATES      112 URIs      104 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-319-39745-0_6 schema:about anzsrc-for:04
2 anzsrc-for:0401
3 anzsrc-for:0405
4 schema:author Nd93d445d3f7949cf80507105f343b0fc
5 schema:datePublished 2016-09-01
6 schema:datePublishedReg 2016-09-01
7 schema:description Increasing numbers of regional climate change scenario assessments have become available for the North Sea. A critical review of the regional studies has helped identify robust changes, challenges, uncertainties and specific recommendations for future research. Coherent findings from the climate change impact studies reviewed in this chapter include overall increases in sea level and ocean temperature, a freshening of the North Sea, an increase in ocean acidification and a decrease in primary production. However, findings from multi-model ensembles show the amplitude and spatial pattern of the projected changes in sea level, temperature, salinity and primary production are not consistent among the various regional projections and remain uncertain. Different approaches are used to downscale global climate change impacts, each with advantages and disadvantages. Regardless of the downscaling method employed, the regional studies are ultimately affected by the forcing global climate models. Projecting regional climate change impacts on biogeochemistry and primary production is currently limited by a lack of consistent downscaling approaches for marine and terrestrial impacts. Substantial natural variability in the North Sea region from annual to multi-decadal time scales is a particular challenge for projecting regional climate change impacts. Natural variability dominates long-term trends in wind fields and strongly wind-influenced characteristics like local sea level, storm surges, surface waves, circulation and local transport pattern. Multi-decadal variations bias changes projected for 20- or 30-year time slices. Disentangling natural variations and regional climate change impacts is a remaining challenge for the North Sea and reliable predictions concerning strongly wind-influenced characteristics are impossible.
8 schema:editor N3be38a6b7d1a415482b1b62c5f9a930e
9 schema:genre chapter
10 schema:isAccessibleForFree true
11 schema:isPartOf N4c320ed1b5a941b3b50aac123d567005
12 schema:keywords North Sea
13 North Sea region
14 Sea
15 Sea region
16 acidification
17 advantages
18 amplitude
19 approach
20 assessment
21 bias changes
22 biogeochemistry
23 challenges
24 change impact studies
25 change impacts
26 changes
27 chapter
28 characteristics
29 circulation
30 climate change impact studies
31 climate change impacts
32 climate models
33 coherent findings
34 critical review
35 decrease
36 different approaches
37 disadvantages
38 downscaling approach
39 ensemble
40 field
41 findings
42 freshening
43 future research
44 global climate change impacts
45 global climate models
46 impact
47 impact studies
48 increase
49 lack
50 levels
51 local sea level
52 long-term trends
53 method
54 model
55 multi-decadal time scales
56 multi-model ensemble
57 natural variability
58 natural variation
59 number
60 ocean acidification
61 ocean temperature
62 overall increase
63 particular challenges
64 patterns
65 prediction
66 primary production
67 production
68 projections
69 recommendations
70 region
71 regional climate change impacts
72 regional projections
73 regional studies
74 reliable prediction
75 research
76 review
77 robust changes
78 salinity
79 scale
80 scenario assessment
81 sea level
82 slices
83 spatial patterns
84 specific recommendations
85 storms
86 study
87 substantial natural variability
88 surface waves
89 temperature
90 terrestrial impacts
91 time scales
92 time slices
93 transport patterns
94 trends
95 uncertainty
96 variability
97 variation
98 waves
99 wind field
100 schema:name Projected Change—North Sea
101 schema:pagination 175-217
102 schema:productId N7c0160da43ba4ca089a5eccceb600675
103 N87c5662067d54d8d9aadc8e94f8f527e
104 schema:publisher Nb24d02054b8548109372a9591dd30400
105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052870537
106 https://doi.org/10.1007/978-3-319-39745-0_6
107 schema:sdDatePublished 2022-11-24T21:15
108 schema:sdLicense https://scigraph.springernature.com/explorer/license/
109 schema:sdPublisher Nfc46dd9dd89c48108865be0f03c150be
110 schema:url https://doi.org/10.1007/978-3-319-39745-0_6
111 sgo:license sg:explorer/license/
112 sgo:sdDataset chapters
113 rdf:type schema:Chapter
114 N056e443b08d6488285e2041c72b6e0ca rdf:first sg:person.011066117233.90
115 rdf:rest Nff72671e89874d61be9d35636fe32c46
116 N08410ddfb39a4392a9de77e4c30b6bb7 rdf:first sg:person.01056715244.82
117 rdf:rest Nd6b0873eccac4593b27653016d9ad86c
118 N242545cbe9b047e48b616c907c54b854 rdf:first sg:person.07602456545.64
119 rdf:rest N08410ddfb39a4392a9de77e4c30b6bb7
120 N3be38a6b7d1a415482b1b62c5f9a930e rdf:first Nd1a33aed45834b8c9ccc8a562175d863
121 rdf:rest Nf30d8721a28e4c4899dd2d779886adbd
122 N4c320ed1b5a941b3b50aac123d567005 schema:isbn 978-3-319-39743-6
123 978-3-319-39745-0
124 schema:name North Sea Region Climate Change Assessment
125 rdf:type schema:Book
126 N7c0160da43ba4ca089a5eccceb600675 schema:name doi
127 schema:value 10.1007/978-3-319-39745-0_6
128 rdf:type schema:PropertyValue
129 N87c5662067d54d8d9aadc8e94f8f527e schema:name dimensions_id
130 schema:value pub.1052870537
131 rdf:type schema:PropertyValue
132 N98ad9eab1bae4a38bd90b3c00290e96b schema:familyName Colijn
133 schema:givenName Franciscus
134 rdf:type schema:Person
135 Na88d10cf109b4d168d65735c2d65af69 rdf:first sg:person.014042405127.37
136 rdf:rest Nc10a6db067f142f0bef64ab09e3f29db
137 Nb24d02054b8548109372a9591dd30400 schema:name Springer Nature
138 rdf:type schema:Organisation
139 Nc10a6db067f142f0bef64ab09e3f29db rdf:first sg:person.07377201305.89
140 rdf:rest Nf46b1e4c8445438f8557e2ff7d62b2e4
141 Nd1a33aed45834b8c9ccc8a562175d863 schema:familyName Quante
142 schema:givenName Markus
143 rdf:type schema:Person
144 Nd6b0873eccac4593b27653016d9ad86c rdf:first sg:person.013667433537.88
145 rdf:rest Na88d10cf109b4d168d65735c2d65af69
146 Nd93d445d3f7949cf80507105f343b0fc rdf:first sg:person.011422102265.58
147 rdf:rest N056e443b08d6488285e2041c72b6e0ca
148 Ndcccb3f776ad4dd88c37fdf174dbfcd2 rdf:first sg:person.0746327744.60
149 rdf:rest rdf:nil
150 Nf30d8721a28e4c4899dd2d779886adbd rdf:first N98ad9eab1bae4a38bd90b3c00290e96b
151 rdf:rest rdf:nil
152 Nf46b1e4c8445438f8557e2ff7d62b2e4 rdf:first sg:person.012545146466.04
153 rdf:rest Ndcccb3f776ad4dd88c37fdf174dbfcd2
154 Nfc46dd9dd89c48108865be0f03c150be schema:name Springer Nature - SN SciGraph project
155 rdf:type schema:Organization
156 Nff72671e89874d61be9d35636fe32c46 rdf:first sg:person.0707624327.40
157 rdf:rest N242545cbe9b047e48b616c907c54b854
158 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
159 schema:name Earth Sciences
160 rdf:type schema:DefinedTerm
161 anzsrc-for:0401 schema:inDefinedTermSet anzsrc-for:
162 schema:name Atmospheric Sciences
163 rdf:type schema:DefinedTerm
164 anzsrc-for:0405 schema:inDefinedTermSet anzsrc-for:
165 schema:name Oceanography
166 rdf:type schema:DefinedTerm
167 sg:person.01056715244.82 schema:affiliation grid-institutes:grid.418022.d
168 schema:familyName Holt
169 schema:givenName Jason
170 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01056715244.82
171 rdf:type schema:Person
172 sg:person.011066117233.90 schema:affiliation grid-institutes:grid.17100.37
173 schema:familyName Lowe
174 schema:givenName Jason
175 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011066117233.90
176 rdf:type schema:Person
177 sg:person.011422102265.58 schema:affiliation grid-institutes:grid.24999.3f
178 schema:familyName Schrum
179 schema:givenName Corinna
180 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011422102265.58
181 rdf:type schema:Person
182 sg:person.012545146466.04 schema:affiliation grid-institutes:grid.8653.8
183 schema:familyName Sterl
184 schema:givenName Andreas
185 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012545146466.04
186 rdf:type schema:Person
187 sg:person.013667433537.88 schema:affiliation grid-institutes:grid.450268.d
188 schema:familyName Mathis
189 schema:givenName Moritz
190 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013667433537.88
191 rdf:type schema:Person
192 sg:person.014042405127.37 schema:affiliation grid-institutes:grid.9026.d
193 schema:familyName Pohlmann
194 schema:givenName Thomas
195 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014042405127.37
196 rdf:type schema:Person
197 sg:person.0707624327.40 schema:affiliation grid-institutes:grid.423940.8
198 schema:familyName Meier
199 schema:givenName H. E. Markus
200 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0707624327.40
201 rdf:type schema:Person
202 sg:person.07377201305.89 schema:affiliation grid-institutes:grid.10917.3e
203 schema:familyName Skogen
204 schema:givenName Morten D.
205 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07377201305.89
206 rdf:type schema:Person
207 sg:person.0746327744.60 schema:affiliation grid-institutes:grid.418022.d
208 schema:familyName Wakelin
209 schema:givenName Sarah
210 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0746327744.60
211 rdf:type schema:Person
212 sg:person.07602456545.64 schema:affiliation grid-institutes:grid.24999.3f
213 schema:familyName Grabemann
214 schema:givenName Iris
215 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07602456545.64
216 rdf:type schema:Person
217 grid-institutes:grid.10917.3e schema:alternateName Institute of Marine Research (IMR), Bergen, Norway
218 schema:name Institute of Marine Research (IMR), Bergen, Norway
219 rdf:type schema:Organization
220 grid-institutes:grid.17100.37 schema:alternateName Met Office Hadley Centre, Exeter, UK
221 schema:name Met Office Hadley Centre, Exeter, UK
222 rdf:type schema:Organization
223 grid-institutes:grid.24999.3f schema:alternateName Institute of Coastal Research, Helmholtz-Zentrum Geesthacht, Geesthacht, Germany
224 schema:name Geophysical Institute, University of Bergen, Bergen, Norway
225 Institute of Coastal Research, Helmholtz-Zentrum Geesthacht, Geesthacht, Germany
226 rdf:type schema:Organization
227 grid-institutes:grid.418022.d schema:alternateName National Oceanography Centre, Liverpool, UK
228 schema:name National Oceanography Centre, Liverpool, UK
229 rdf:type schema:Organization
230 grid-institutes:grid.423940.8 schema:alternateName Department of Physical Oceanography and Instrumentation, Leibniz-Institute for Baltic Sea Research (IOW), Rostock, Germany
231 schema:name Department of Physical Oceanography and Instrumentation, Leibniz-Institute for Baltic Sea Research (IOW), Rostock, Germany
232 Research Department, Swedish Meteorological and Hydrological Institute, Norrköping, Sweden
233 rdf:type schema:Organization
234 grid-institutes:grid.450268.d schema:alternateName Max Planck Institute for Meteorology, Hamburg, Germany
235 schema:name Max Planck Institute for Meteorology, Hamburg, Germany
236 rdf:type schema:Organization
237 grid-institutes:grid.8653.8 schema:alternateName Royal Netherlands Meteorological Institute (KNMI), De Bilt, The Netherlands
238 schema:name Royal Netherlands Meteorological Institute (KNMI), De Bilt, The Netherlands
239 rdf:type schema:Organization
240 grid-institutes:grid.9026.d schema:alternateName Institute of Oceanography, CEN, University of Hamburg, Hamburg, Germany
241 schema:name Institute of Oceanography, CEN, University of Hamburg, Hamburg, Germany
242 rdf:type schema:Organization
 




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


...