Climate change and water resources in Sweden — analysis of uncertainties View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2002

AUTHORS

M. Gardelin , S. Bergström , B. Carlsson , L. P. Graham , G. Lindström

ABSTRACT

Simulations of the impacts of climate change on water resources in Sweden are produced within the Swedish Regional Climate Modelling Programme, SWECLIM. The impact studies are based on a combination of global climate models (GCMs), a regional climate model and a hydrological runoff model. The two different GCMs used so far are the UKMO HadCM2 from the Hadley Centre and the ECHAM4/OPYC3 of the Max Planck Institute for Meteorology. The regional climate model, RCA, was developed at the Rossby Centre of the Swedish Meteorological and Hydrological Institute (SMHI) and is a modified version of the international HIRLAM meteorological forecast model. The RCA model performs downscaling from GCM scenarios on a time horizon of 50 to 100 years. Based on the RCA scenarios, water resources scenarios were produced with the HBV hydrological runoff model developed at the SMHI. Two different methods for estimation of evapotranspiration in the hydrological model were used. Neither of the methods takes into account the possible feedback from changing land-use, vegetation dynamics or changing plant use of water at increasing CO2 concentrations in the atmosphere. The impacts on water resources were simulated from differences between control runs and scenario runs of the RCA model for a number of selected test basins covering the major climate regions in Sweden. Changes in runoff totals, runoff regimes and extreme values were analysed with focus on the uncertainties introduced by the choice of global climate model, routines for estimation of evapotranspiration in the hydrological model and methods applied in the interface between the models. It was further analysed how these choices affect the statistical return periods of future extremes in a design situation. More... »

PAGES

189-207

Book

TITLE

Climatic Change: Implications for the Hydrological Cycle and for Water Management

ISBN

978-90-481-5944-4
978-0-306-47983-0

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/0-306-47983-4_11

DOI

http://dx.doi.org/10.1007/0-306-47983-4_11

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1015151290


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/2008/0406", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Physical Geography and Environmental Geoscience", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Swedish Meteorological and Hydrological Institute, Norrk\u00f6ping, Sweden", 
          "id": "http://www.grid.ac/institutes/grid.6057.4", 
          "name": [
            "Swedish Meteorological and Hydrological Institute, Norrk\u00f6ping, Sweden"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gardelin", 
        "givenName": "M.", 
        "id": "sg:person.011743003171.69", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011743003171.69"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Swedish Meteorological and Hydrological Institute, Norrk\u00f6ping, Sweden", 
          "id": "http://www.grid.ac/institutes/grid.6057.4", 
          "name": [
            "Swedish Meteorological and Hydrological Institute, Norrk\u00f6ping, Sweden"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bergstr\u00f6m", 
        "givenName": "S.", 
        "id": "sg:person.014164171655.90", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014164171655.90"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Swedish Meteorological and Hydrological Institute, Norrk\u00f6ping, Sweden", 
          "id": "http://www.grid.ac/institutes/grid.6057.4", 
          "name": [
            "Swedish Meteorological and Hydrological Institute, Norrk\u00f6ping, Sweden"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Carlsson", 
        "givenName": "B.", 
        "id": "sg:person.01165627474.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01165627474.40"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Swedish Meteorological and Hydrological Institute, Norrk\u00f6ping, Sweden", 
          "id": "http://www.grid.ac/institutes/grid.6057.4", 
          "name": [
            "Swedish Meteorological and Hydrological Institute, Norrk\u00f6ping, Sweden"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Graham", 
        "givenName": "L. P.", 
        "id": "sg:person.07553546250.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07553546250.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Swedish Meteorological and Hydrological Institute, Norrk\u00f6ping, Sweden", 
          "id": "http://www.grid.ac/institutes/grid.6057.4", 
          "name": [
            "Swedish Meteorological and Hydrological Institute, Norrk\u00f6ping, Sweden"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lindstr\u00f6m", 
        "givenName": "G.", 
        "id": "sg:person.01272353674.42", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01272353674.42"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2002", 
    "datePublishedReg": "2002-01-01", 
    "description": "Simulations of the impacts of climate change on water resources in Sweden are produced within the Swedish Regional Climate Modelling Programme, SWECLIM. The impact studies are based on a combination of global climate models (GCMs), a regional climate model and a hydrological runoff model. The two different GCMs used so far are the UKMO HadCM2 from the Hadley Centre and the ECHAM4/OPYC3 of the Max Planck Institute for Meteorology. The regional climate model, RCA, was developed at the Rossby Centre of the Swedish Meteorological and Hydrological Institute (SMHI) and is a modified version of the international HIRLAM meteorological forecast model. The RCA model performs downscaling from GCM scenarios on a time horizon of 50 to 100 years. Based on the RCA scenarios, water resources scenarios were produced with the HBV hydrological runoff model developed at the SMHI. Two different methods for estimation of evapotranspiration in the hydrological model were used. Neither of the methods takes into account the possible feedback from changing land-use, vegetation dynamics or changing plant use of water at increasing CO2 concentrations in the atmosphere. The impacts on water resources were simulated from differences between control runs and scenario runs of the RCA model for a number of selected test basins covering the major climate regions in Sweden. Changes in runoff totals, runoff regimes and extreme values were analysed with focus on the uncertainties introduced by the choice of global climate model, routines for estimation of evapotranspiration in the hydrological model and methods applied in the interface between the models. It was further analysed how these choices affect the statistical return periods of future extremes in a design situation.", 
    "editor": [
      {
        "familyName": "Beniston", 
        "givenName": "Martin", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/0-306-47983-4_11", 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-90-481-5944-4", 
        "978-0-306-47983-0"
      ], 
      "name": "Climatic Change: Implications for the Hydrological Cycle and for Water Management", 
      "type": "Book"
    }, 
    "keywords": [
      "global climate models", 
      "regional climate model", 
      "climate models", 
      "estimation of evapotranspiration", 
      "water resources", 
      "hydrological model", 
      "runoff model", 
      "Swedish Regional Climate Modelling Programme", 
      "climate change", 
      "different global climate models", 
      "ECHAM4/OPYC3", 
      "meteorological forecast model", 
      "statistical return periods", 
      "water resource scenarios", 
      "major climate regions", 
      "Max Planck Institute", 
      "RCA model", 
      "Rossby Centre", 
      "Hadley Centre", 
      "runoff regime", 
      "runoff totals", 
      "GCM scenarios", 
      "future extremes", 
      "Swedish Meteorological", 
      "control run", 
      "Hydrological Institute", 
      "scenario runs", 
      "return period", 
      "test basin", 
      "vegetation dynamics", 
      "forecast model", 
      "possible feedback", 
      "climate regions", 
      "impact studies", 
      "CO2 concentration", 
      "Sweden\u2014analysis", 
      "modelling program", 
      "resource scenarios", 
      "evapotranspiration", 
      "extreme values", 
      "SWECLIM", 
      "HadCM2", 
      "basin", 
      "SMHI", 
      "Meteorological", 
      "meteorology", 
      "uncertainty", 
      "atmosphere", 
      "extremes", 
      "scenarios", 
      "horizon", 
      "water", 
      "changes", 
      "Sweden", 
      "run", 
      "model", 
      "impact", 
      "regime", 
      "region", 
      "estimation", 
      "resources", 
      "time horizon", 
      "period", 
      "dynamics", 
      "feedback", 
      "concentration", 
      "center", 
      "simulations", 
      "different methods", 
      "modified version", 
      "years", 
      "Institute", 
      "values", 
      "plant use", 
      "combination", 
      "interface", 
      "account", 
      "differences", 
      "study", 
      "method", 
      "version", 
      "focus", 
      "design situations", 
      "situation", 
      "use", 
      "routines", 
      "number", 
      "program", 
      "total", 
      "choice", 
      "RCA"
    ], 
    "name": "Climate change and water resources in Sweden \u2014 analysis of uncertainties", 
    "pagination": "189-207", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1015151290"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/0-306-47983-4_11"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/0-306-47983-4_11", 
      "https://app.dimensions.ai/details/publication/pub.1015151290"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2022-11-24T21:17", 
    "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_404.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/0-306-47983-4_11"
  }
]
 

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.10.1007/0-306-47983-4_11'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/0-306-47983-4_11'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/0-306-47983-4_11'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/0-306-47983-4_11'


 

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

182 TRIPLES      22 PREDICATES      117 URIs      109 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/0-306-47983-4_11 schema:about anzsrc-for:04
2 anzsrc-for:0401
3 anzsrc-for:0406
4 schema:author Nafe1082ca62f488fb9cf12d8dc85cb2d
5 schema:datePublished 2002
6 schema:datePublishedReg 2002-01-01
7 schema:description Simulations of the impacts of climate change on water resources in Sweden are produced within the Swedish Regional Climate Modelling Programme, SWECLIM. The impact studies are based on a combination of global climate models (GCMs), a regional climate model and a hydrological runoff model. The two different GCMs used so far are the UKMO HadCM2 from the Hadley Centre and the ECHAM4/OPYC3 of the Max Planck Institute for Meteorology. The regional climate model, RCA, was developed at the Rossby Centre of the Swedish Meteorological and Hydrological Institute (SMHI) and is a modified version of the international HIRLAM meteorological forecast model. The RCA model performs downscaling from GCM scenarios on a time horizon of 50 to 100 years. Based on the RCA scenarios, water resources scenarios were produced with the HBV hydrological runoff model developed at the SMHI. Two different methods for estimation of evapotranspiration in the hydrological model were used. Neither of the methods takes into account the possible feedback from changing land-use, vegetation dynamics or changing plant use of water at increasing CO2 concentrations in the atmosphere. The impacts on water resources were simulated from differences between control runs and scenario runs of the RCA model for a number of selected test basins covering the major climate regions in Sweden. Changes in runoff totals, runoff regimes and extreme values were analysed with focus on the uncertainties introduced by the choice of global climate model, routines for estimation of evapotranspiration in the hydrological model and methods applied in the interface between the models. It was further analysed how these choices affect the statistical return periods of future extremes in a design situation.
8 schema:editor Ne075b1e8f79d436f942b059f9e38cec0
9 schema:genre chapter
10 schema:isAccessibleForFree false
11 schema:isPartOf Nb520ebf7121c4b1089526d4965b10c8f
12 schema:keywords CO2 concentration
13 ECHAM4/OPYC3
14 GCM scenarios
15 HadCM2
16 Hadley Centre
17 Hydrological Institute
18 Institute
19 Max Planck Institute
20 Meteorological
21 RCA
22 RCA model
23 Rossby Centre
24 SMHI
25 SWECLIM
26 Sweden
27 Sweden—analysis
28 Swedish Meteorological
29 Swedish Regional Climate Modelling Programme
30 account
31 atmosphere
32 basin
33 center
34 changes
35 choice
36 climate change
37 climate models
38 climate regions
39 combination
40 concentration
41 control run
42 design situations
43 differences
44 different global climate models
45 different methods
46 dynamics
47 estimation
48 estimation of evapotranspiration
49 evapotranspiration
50 extreme values
51 extremes
52 feedback
53 focus
54 forecast model
55 future extremes
56 global climate models
57 horizon
58 hydrological model
59 impact
60 impact studies
61 interface
62 major climate regions
63 meteorological forecast model
64 meteorology
65 method
66 model
67 modelling program
68 modified version
69 number
70 period
71 plant use
72 possible feedback
73 program
74 regime
75 region
76 regional climate model
77 resource scenarios
78 resources
79 return period
80 routines
81 run
82 runoff model
83 runoff regime
84 runoff totals
85 scenario runs
86 scenarios
87 simulations
88 situation
89 statistical return periods
90 study
91 test basin
92 time horizon
93 total
94 uncertainty
95 use
96 values
97 vegetation dynamics
98 version
99 water
100 water resource scenarios
101 water resources
102 years
103 schema:name Climate change and water resources in Sweden — analysis of uncertainties
104 schema:pagination 189-207
105 schema:productId N5bdfc139954247fab489aeed6536d1af
106 Ne85c3df2802245eab07726da4d287704
107 schema:publisher Nb6d5df1a7fea4af1a452e40077c71d4e
108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015151290
109 https://doi.org/10.1007/0-306-47983-4_11
110 schema:sdDatePublished 2022-11-24T21:17
111 schema:sdLicense https://scigraph.springernature.com/explorer/license/
112 schema:sdPublisher N5a3eb554695c42ecb1099857fdb10031
113 schema:url https://doi.org/10.1007/0-306-47983-4_11
114 sgo:license sg:explorer/license/
115 sgo:sdDataset chapters
116 rdf:type schema:Chapter
117 N479dcc1bb359435e99aac323246f928b schema:familyName Beniston
118 schema:givenName Martin
119 rdf:type schema:Person
120 N5a3eb554695c42ecb1099857fdb10031 schema:name Springer Nature - SN SciGraph project
121 rdf:type schema:Organization
122 N5bdfc139954247fab489aeed6536d1af schema:name doi
123 schema:value 10.1007/0-306-47983-4_11
124 rdf:type schema:PropertyValue
125 N8a917724b5f74de9b5cdc6784bd2923d rdf:first sg:person.014164171655.90
126 rdf:rest Nc347715dffdc430e8a5582e1e1c09ba9
127 Nafe1082ca62f488fb9cf12d8dc85cb2d rdf:first sg:person.011743003171.69
128 rdf:rest N8a917724b5f74de9b5cdc6784bd2923d
129 Nb520ebf7121c4b1089526d4965b10c8f schema:isbn 978-0-306-47983-0
130 978-90-481-5944-4
131 schema:name Climatic Change: Implications for the Hydrological Cycle and for Water Management
132 rdf:type schema:Book
133 Nb6d5df1a7fea4af1a452e40077c71d4e schema:name Springer Nature
134 rdf:type schema:Organisation
135 Nc347715dffdc430e8a5582e1e1c09ba9 rdf:first sg:person.01165627474.40
136 rdf:rest Nd17a31d022b744069a8c805fc6cfbda8
137 Nd17a31d022b744069a8c805fc6cfbda8 rdf:first sg:person.07553546250.16
138 rdf:rest Nde1a22a40bd3447fbbb55553b30b2f64
139 Nde1a22a40bd3447fbbb55553b30b2f64 rdf:first sg:person.01272353674.42
140 rdf:rest rdf:nil
141 Ne075b1e8f79d436f942b059f9e38cec0 rdf:first N479dcc1bb359435e99aac323246f928b
142 rdf:rest rdf:nil
143 Ne85c3df2802245eab07726da4d287704 schema:name dimensions_id
144 schema:value pub.1015151290
145 rdf:type schema:PropertyValue
146 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
147 schema:name Earth Sciences
148 rdf:type schema:DefinedTerm
149 anzsrc-for:0401 schema:inDefinedTermSet anzsrc-for:
150 schema:name Atmospheric Sciences
151 rdf:type schema:DefinedTerm
152 anzsrc-for:0406 schema:inDefinedTermSet anzsrc-for:
153 schema:name Physical Geography and Environmental Geoscience
154 rdf:type schema:DefinedTerm
155 sg:person.01165627474.40 schema:affiliation grid-institutes:grid.6057.4
156 schema:familyName Carlsson
157 schema:givenName B.
158 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01165627474.40
159 rdf:type schema:Person
160 sg:person.011743003171.69 schema:affiliation grid-institutes:grid.6057.4
161 schema:familyName Gardelin
162 schema:givenName M.
163 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011743003171.69
164 rdf:type schema:Person
165 sg:person.01272353674.42 schema:affiliation grid-institutes:grid.6057.4
166 schema:familyName Lindström
167 schema:givenName G.
168 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01272353674.42
169 rdf:type schema:Person
170 sg:person.014164171655.90 schema:affiliation grid-institutes:grid.6057.4
171 schema:familyName Bergström
172 schema:givenName S.
173 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014164171655.90
174 rdf:type schema:Person
175 sg:person.07553546250.16 schema:affiliation grid-institutes:grid.6057.4
176 schema:familyName Graham
177 schema:givenName L. P.
178 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07553546250.16
179 rdf:type schema:Person
180 grid-institutes:grid.6057.4 schema:alternateName Swedish Meteorological and Hydrological Institute, Norrköping, Sweden
181 schema:name Swedish Meteorological and Hydrological Institute, Norrköping, Sweden
182 rdf:type schema:Organization
 




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


...