Attribution of typhoon-induced torrential precipitation in Central Vietnam, October 2020 View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2021-12-14

AUTHORS

Linh N. Luu, Paolo Scussolini, Sarah Kew, Sjoukje Philip, Mugni Hadi Hariadi, Robert Vautard, Khiem Van Mai, Thang Van Vu, Kien Ba Truong, Friederike Otto, Gerard van der Schrier, Maarten K. van Aalst, Geert Jan van Oldenborgh

ABSTRACT

In October 2020, Central Vietnam was struck by heavy rain resulting from a sequence of 5 tropical depressions and typhoons. The immense amount of water led to extensive flooding and landslides that killed more than 200 people, injured more than 500 people, and caused direct damages valued at approximately 1.2 billion USD. Here, we quantify how the intensity of the precipitation leading to such exceptional impacts is attributable to anthropogenic climate change. First, we define the event as the regional maximum of annual maximum 15-day average rainfall (Rx15day). We then analyse the trend in Rx15day over Central Vietnam from the observations and simulations in the PRIMAVERA and CORDEX-CORE ensembles, which pass our evaluation tests, by applying the generalised extreme value (GEV) distribution in which location and scale parameters exponentially covary with increasing global temperatures. Combining these observations and model results, we find that the 2020 event, occurring about once every 80 years (at least 17 years), has not changed in either probability of occurrence (a factor 1.0, ranging from 0.4 to 2.4) or intensity (0%, ranging from −8 to +8%) in the present climate in comparison with early-industrial climate. This implies that the effect of human-induced climate change contributing to this persistent extreme rainfall event is small compared to natural variability. However, given the scale of damage of this hazard, our results underline that more investment in disaster risk reduction for this type of rainfall-induced flood hazard is of importance, even independent of the effect of anthropogenic climate change. Moreover, as both observations and model simulations will be extended with the passage of time, we encourage more climate change impact investigations on the extreme in the future that help adaptation and mitigation plans and raise awareness in the country. More... »

PAGES

24

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10584-021-03261-3

DOI

http://dx.doi.org/10.1007/s10584-021-03261-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1143851428


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": "Vietnam Institute of Meteorology Hydrology and Climate Change, Hanoi, Vietnam", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Royal Netherlands Meteorological Institute (KNMI), De Bilt, Netherlands", 
            "Vietnam Institute of Meteorology Hydrology and Climate Change, Hanoi, Vietnam"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Luu", 
        "givenName": "Linh N.", 
        "id": "sg:person.013617357062.81", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013617357062.81"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute for Environmental Studies, Vrije Universiteit Amsterdam, Amsterdam, Netherlands", 
          "id": "http://www.grid.ac/institutes/grid.12380.38", 
          "name": [
            "Royal Netherlands Meteorological Institute (KNMI), De Bilt, Netherlands", 
            "Institute for Environmental Studies, Vrije Universiteit Amsterdam, Amsterdam, Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Scussolini", 
        "givenName": "Paolo", 
        "id": "sg:person.01175513306.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01175513306.41"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Royal Netherlands Meteorological Institute (KNMI), De Bilt, Netherlands", 
          "id": "http://www.grid.ac/institutes/grid.8653.8", 
          "name": [
            "Royal Netherlands Meteorological Institute (KNMI), De Bilt, Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kew", 
        "givenName": "Sarah", 
        "id": "sg:person.012576657501.96", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012576657501.96"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Royal Netherlands Meteorological Institute (KNMI), De Bilt, Netherlands", 
          "id": "http://www.grid.ac/institutes/grid.8653.8", 
          "name": [
            "Royal Netherlands Meteorological Institute (KNMI), De Bilt, Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Philip", 
        "givenName": "Sjoukje", 
        "id": "sg:person.014116526631.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014116526631.03"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Royal Netherlands Meteorological Institute (KNMI), De Bilt, Netherlands", 
          "id": "http://www.grid.ac/institutes/grid.8653.8", 
          "name": [
            "Royal Netherlands Meteorological Institute (KNMI), De Bilt, Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hariadi", 
        "givenName": "Mugni Hadi", 
        "id": "sg:person.013417612611.26", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013417612611.26"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Laboratoire des Sciences du Climat et de l\u2019Environnement, UMR 8212 CEA-CNRS-UVSQ, Universit\u00e9 Paris-Saclay and IPSL, Gif-sur-Yvette, France", 
          "id": "http://www.grid.ac/institutes/grid.457340.1", 
          "name": [
            "Laboratoire des Sciences du Climat et de l\u2019Environnement, UMR 8212 CEA-CNRS-UVSQ, Universit\u00e9 Paris-Saclay and IPSL, Gif-sur-Yvette, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vautard", 
        "givenName": "Robert", 
        "id": "sg:person.0637243716.97", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0637243716.97"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Centre for Hydro - Meteorological Forecasting, Hanoi, Vietnam", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "National Centre for Hydro - Meteorological Forecasting, Hanoi, Vietnam"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Van Mai", 
        "givenName": "Khiem", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Vietnam Institute of Meteorology Hydrology and Climate Change, Hanoi, Vietnam", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Vietnam Institute of Meteorology Hydrology and Climate Change, Hanoi, Vietnam"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Van Vu", 
        "givenName": "Thang", 
        "id": "sg:person.015251066270.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015251066270.22"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Vietnam Institute of Meteorology Hydrology and Climate Change, Hanoi, Vietnam", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Vietnam Institute of Meteorology Hydrology and Climate Change, Hanoi, Vietnam"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Truong", 
        "givenName": "Kien Ba", 
        "id": "sg:person.015013617450.34", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015013617450.34"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Grantham Institute, Imperial College London, London, UK", 
          "id": "http://www.grid.ac/institutes/grid.7445.2", 
          "name": [
            "Grantham Institute, Imperial College London, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Otto", 
        "givenName": "Friederike", 
        "id": "sg:person.01326463237.80", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01326463237.80"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Royal Netherlands Meteorological Institute (KNMI), De Bilt, Netherlands", 
          "id": "http://www.grid.ac/institutes/grid.8653.8", 
          "name": [
            "Royal Netherlands Meteorological Institute (KNMI), De Bilt, Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "van der Schrier", 
        "givenName": "Gerard", 
        "id": "sg:person.011357474467.78", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011357474467.78"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "International Research Institute for Climate and Society, Columbia University, New York, NY, USA", 
          "id": "http://www.grid.ac/institutes/grid.21729.3f", 
          "name": [
            "Faculty of Geo-information Science and Earth Observation, University of Twente, Enschede, The Netherlands", 
            "Red Cross Red Crescent Climate Centre, The Hague, The Netherlands", 
            "International Research Institute for Climate and Society, Columbia University, New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "van Aalst", 
        "givenName": "Maarten K.", 
        "id": "sg:person.014603673361.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014603673361.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Royal Netherlands Meteorological Institute (KNMI), De Bilt, Netherlands", 
          "id": "http://www.grid.ac/institutes/grid.8653.8", 
          "name": [
            "Royal Netherlands Meteorological Institute (KNMI), De Bilt, Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "van Oldenborgh", 
        "givenName": "Geert Jan", 
        "id": "sg:person.014342146261.81", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014342146261.81"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s10584-017-1906-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083420168", 
          "https://doi.org/10.1007/s10584-017-1906-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00382-021-05671-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1135138646", 
          "https://doi.org/10.1007/s00382-021-05671-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00382-020-05494-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1132474141", 
          "https://doi.org/10.1007/s00382-020-05494-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11069-018-3202-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101017573", 
          "https://doi.org/10.1007/s11069-018-3202-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10584-018-2252-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1105601377", 
          "https://doi.org/10.1007/s10584-018-2252-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41467-018-07882-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1110929190", 
          "https://doi.org/10.1038/s41467-018-07882-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41598-020-73508-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1131429789", 
          "https://doi.org/10.1038/s41598-020-73508-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41586-018-0673-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1109832848", 
          "https://doi.org/10.1038/s41586-018-0673-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00382-021-05728-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1136956491", 
          "https://doi.org/10.1007/s00382-021-05728-6"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2021-12-14", 
    "datePublishedReg": "2021-12-14", 
    "description": "In October 2020, Central Vietnam was struck by heavy rain resulting from a sequence of 5 tropical depressions and typhoons. The immense amount of water led to extensive flooding and landslides that killed more than 200 people, injured more than 500 people, and caused direct damages valued at approximately 1.2 billion USD. Here, we quantify how the intensity of the precipitation leading to such exceptional impacts is attributable to anthropogenic climate change. First, we define the event as the regional maximum of annual maximum 15-day average rainfall (Rx15day). We then analyse the trend in Rx15day over Central Vietnam from the observations and simulations in the PRIMAVERA and CORDEX-CORE ensembles, which pass our evaluation tests, by applying the generalised extreme value (GEV) distribution in which location and scale parameters exponentially covary with increasing global temperatures. Combining these observations and model results, we find that the 2020 event, occurring about once every 80 years (at least 17 years), has not changed in either probability of occurrence (a factor 1.0, ranging from 0.4 to 2.4) or intensity (0%, ranging from \u22128 to +8%) in the present climate in comparison with early-industrial climate. This implies that the effect of human-induced climate change contributing to this persistent extreme rainfall event is small compared to natural variability. However, given the scale of damage of this hazard, our results underline that more investment in disaster risk reduction for this type of rainfall-induced flood hazard is of importance, even independent of the effect of anthropogenic climate change. Moreover, as both observations and model simulations will be extended with the passage of time, we encourage more climate change impact investigations on the extreme in the future that help adaptation and mitigation plans and raise awareness in the country.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s10584-021-03261-3", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1028211", 
        "issn": [
          "0165-0009", 
          "1573-1480"
        ], 
        "name": "Climatic Change", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3-4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "169"
      }
    ], 
    "keywords": [
      "anthropogenic climate change", 
      "climate change", 
      "central Vietnam", 
      "human-induced climate change", 
      "extreme rainfall events", 
      "generalised extreme value distribution", 
      "torrential precipitation", 
      "present climate", 
      "tropical depression", 
      "rainfall events", 
      "natural variability", 
      "flood hazard", 
      "extensive flooding", 
      "model simulations", 
      "average rainfall", 
      "global temperature", 
      "extreme value distribution", 
      "regional maxima", 
      "heavy rain", 
      "model results", 
      "probability of occurrence", 
      "impact investigation", 
      "mitigation plans", 
      "scale of damage", 
      "disaster risk reduction", 
      "precipitation", 
      "climate", 
      "value distribution", 
      "exceptional impact", 
      "events", 
      "hazards", 
      "rainfall", 
      "typhoons", 
      "landslides", 
      "rain", 
      "flooding", 
      "extremes", 
      "variability", 
      "Vietnam", 
      "water", 
      "changes", 
      "ensemble", 
      "Primavera", 
      "intensity", 
      "maximum", 
      "occurrence", 
      "trends", 
      "simulations", 
      "immense amount", 
      "location", 
      "scale", 
      "attribution", 
      "distribution", 
      "temperature", 
      "passage", 
      "risk reduction", 
      "direct damage", 
      "scale parameter", 
      "impact", 
      "sequence", 
      "amount", 
      "years", 
      "future", 
      "results", 
      "comparison", 
      "importance", 
      "depression", 
      "investigation", 
      "time", 
      "passage of time", 
      "more investment", 
      "parameters", 
      "types", 
      "effect", 
      "probability", 
      "plan", 
      "damage", 
      "reduction", 
      "adaptation", 
      "USD", 
      "countries", 
      "test", 
      "evaluation tests", 
      "people", 
      "investment", 
      "awareness", 
      "observations"
    ], 
    "name": "Attribution of typhoon-induced torrential precipitation in Central Vietnam, October 2020", 
    "pagination": "24", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1143851428"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10584-021-03261-3"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10584-021-03261-3", 
      "https://app.dimensions.ai/details/publication/pub.1143851428"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-05-20T07:38", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220519/entities/gbq_results/article/article_893.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s10584-021-03261-3"
  }
]
 

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/s10584-021-03261-3'

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/s10584-021-03261-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10584-021-03261-3'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10584-021-03261-3'


 

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

289 TRIPLES      22 PREDICATES      122 URIs      104 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10584-021-03261-3 schema:about anzsrc-for:04
2 anzsrc-for:0401
3 anzsrc-for:0406
4 schema:author N4cbcef6554fa4176900a635f3d5bd71c
5 schema:citation sg:pub.10.1007/s00382-020-05494-x
6 sg:pub.10.1007/s00382-021-05671-6
7 sg:pub.10.1007/s00382-021-05728-6
8 sg:pub.10.1007/s10584-017-1906-3
9 sg:pub.10.1007/s10584-018-2252-9
10 sg:pub.10.1007/s11069-018-3202-6
11 sg:pub.10.1038/s41467-018-07882-8
12 sg:pub.10.1038/s41586-018-0673-2
13 sg:pub.10.1038/s41598-020-73508-z
14 schema:datePublished 2021-12-14
15 schema:datePublishedReg 2021-12-14
16 schema:description In October 2020, Central Vietnam was struck by heavy rain resulting from a sequence of 5 tropical depressions and typhoons. The immense amount of water led to extensive flooding and landslides that killed more than 200 people, injured more than 500 people, and caused direct damages valued at approximately 1.2 billion USD. Here, we quantify how the intensity of the precipitation leading to such exceptional impacts is attributable to anthropogenic climate change. First, we define the event as the regional maximum of annual maximum 15-day average rainfall (Rx15day). We then analyse the trend in Rx15day over Central Vietnam from the observations and simulations in the PRIMAVERA and CORDEX-CORE ensembles, which pass our evaluation tests, by applying the generalised extreme value (GEV) distribution in which location and scale parameters exponentially covary with increasing global temperatures. Combining these observations and model results, we find that the 2020 event, occurring about once every 80 years (at least 17 years), has not changed in either probability of occurrence (a factor 1.0, ranging from 0.4 to 2.4) or intensity (0%, ranging from −8 to +8%) in the present climate in comparison with early-industrial climate. This implies that the effect of human-induced climate change contributing to this persistent extreme rainfall event is small compared to natural variability. However, given the scale of damage of this hazard, our results underline that more investment in disaster risk reduction for this type of rainfall-induced flood hazard is of importance, even independent of the effect of anthropogenic climate change. Moreover, as both observations and model simulations will be extended with the passage of time, we encourage more climate change impact investigations on the extreme in the future that help adaptation and mitigation plans and raise awareness in the country.
17 schema:genre article
18 schema:inLanguage en
19 schema:isAccessibleForFree true
20 schema:isPartOf N83a52266491443f384274a3bd2c65e07
21 Nda9402dfebab4425aef3cbceafef09f3
22 sg:journal.1028211
23 schema:keywords Primavera
24 USD
25 Vietnam
26 adaptation
27 amount
28 anthropogenic climate change
29 attribution
30 average rainfall
31 awareness
32 central Vietnam
33 changes
34 climate
35 climate change
36 comparison
37 countries
38 damage
39 depression
40 direct damage
41 disaster risk reduction
42 distribution
43 effect
44 ensemble
45 evaluation tests
46 events
47 exceptional impact
48 extensive flooding
49 extreme rainfall events
50 extreme value distribution
51 extremes
52 flood hazard
53 flooding
54 future
55 generalised extreme value distribution
56 global temperature
57 hazards
58 heavy rain
59 human-induced climate change
60 immense amount
61 impact
62 impact investigation
63 importance
64 intensity
65 investigation
66 investment
67 landslides
68 location
69 maximum
70 mitigation plans
71 model results
72 model simulations
73 more investment
74 natural variability
75 observations
76 occurrence
77 parameters
78 passage
79 passage of time
80 people
81 plan
82 precipitation
83 present climate
84 probability
85 probability of occurrence
86 rain
87 rainfall
88 rainfall events
89 reduction
90 regional maxima
91 results
92 risk reduction
93 scale
94 scale of damage
95 scale parameter
96 sequence
97 simulations
98 temperature
99 test
100 time
101 torrential precipitation
102 trends
103 tropical depression
104 types
105 typhoons
106 value distribution
107 variability
108 water
109 years
110 schema:name Attribution of typhoon-induced torrential precipitation in Central Vietnam, October 2020
111 schema:pagination 24
112 schema:productId N53c8aae987384e55b1306bf9bb5c7cfe
113 N69235d5bed674592b165a09d9142bf67
114 schema:sameAs https://app.dimensions.ai/details/publication/pub.1143851428
115 https://doi.org/10.1007/s10584-021-03261-3
116 schema:sdDatePublished 2022-05-20T07:38
117 schema:sdLicense https://scigraph.springernature.com/explorer/license/
118 schema:sdPublisher Nda2d5fdad37f494fa15a25e5a76e7d6a
119 schema:url https://doi.org/10.1007/s10584-021-03261-3
120 sgo:license sg:explorer/license/
121 sgo:sdDataset articles
122 rdf:type schema:ScholarlyArticle
123 N09fdb9a6d8834f3695791fce4b7a66e1 rdf:first sg:person.014603673361.32
124 rdf:rest N15899f429b424d9dad457f1895efdf96
125 N0fa9b07d8488429b95fa198a3ee54726 rdf:first sg:person.01175513306.41
126 rdf:rest Nb13670ffcfeb486eb610894c3ab92392
127 N105ebde7b39e4bd7829d53769fe1a51f schema:affiliation grid-institutes:None
128 schema:familyName Van Mai
129 schema:givenName Khiem
130 rdf:type schema:Person
131 N15899f429b424d9dad457f1895efdf96 rdf:first sg:person.014342146261.81
132 rdf:rest rdf:nil
133 N3c6e795f921440848681101b2b69c2e8 rdf:first sg:person.011357474467.78
134 rdf:rest N09fdb9a6d8834f3695791fce4b7a66e1
135 N4cbcef6554fa4176900a635f3d5bd71c rdf:first sg:person.013617357062.81
136 rdf:rest N0fa9b07d8488429b95fa198a3ee54726
137 N4e32d0c4d05247af80611c2ba3ba6d30 rdf:first sg:person.015251066270.22
138 rdf:rest Nff2ed3dbb13248b3a1476dff48dd1b59
139 N53c8aae987384e55b1306bf9bb5c7cfe schema:name doi
140 schema:value 10.1007/s10584-021-03261-3
141 rdf:type schema:PropertyValue
142 N576c781357bb47b695afbf14d74a3426 rdf:first sg:person.01326463237.80
143 rdf:rest N3c6e795f921440848681101b2b69c2e8
144 N69235d5bed674592b165a09d9142bf67 schema:name dimensions_id
145 schema:value pub.1143851428
146 rdf:type schema:PropertyValue
147 N791a11b2d9af407e9973e3ccb28ef173 rdf:first sg:person.013417612611.26
148 rdf:rest Nafd0b5f7e5ee4eae991cd3f335182ddf
149 N83a52266491443f384274a3bd2c65e07 schema:issueNumber 3-4
150 rdf:type schema:PublicationIssue
151 Nafd0b5f7e5ee4eae991cd3f335182ddf rdf:first sg:person.0637243716.97
152 rdf:rest Ndbfab8e85c20489387b043d5c4cf7279
153 Nb13670ffcfeb486eb610894c3ab92392 rdf:first sg:person.012576657501.96
154 rdf:rest Nf9036064a58d4521919eca9cfb9daa20
155 Nda2d5fdad37f494fa15a25e5a76e7d6a schema:name Springer Nature - SN SciGraph project
156 rdf:type schema:Organization
157 Nda9402dfebab4425aef3cbceafef09f3 schema:volumeNumber 169
158 rdf:type schema:PublicationVolume
159 Ndbfab8e85c20489387b043d5c4cf7279 rdf:first N105ebde7b39e4bd7829d53769fe1a51f
160 rdf:rest N4e32d0c4d05247af80611c2ba3ba6d30
161 Nf9036064a58d4521919eca9cfb9daa20 rdf:first sg:person.014116526631.03
162 rdf:rest N791a11b2d9af407e9973e3ccb28ef173
163 Nff2ed3dbb13248b3a1476dff48dd1b59 rdf:first sg:person.015013617450.34
164 rdf:rest N576c781357bb47b695afbf14d74a3426
165 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
166 schema:name Earth Sciences
167 rdf:type schema:DefinedTerm
168 anzsrc-for:0401 schema:inDefinedTermSet anzsrc-for:
169 schema:name Atmospheric Sciences
170 rdf:type schema:DefinedTerm
171 anzsrc-for:0406 schema:inDefinedTermSet anzsrc-for:
172 schema:name Physical Geography and Environmental Geoscience
173 rdf:type schema:DefinedTerm
174 sg:journal.1028211 schema:issn 0165-0009
175 1573-1480
176 schema:name Climatic Change
177 schema:publisher Springer Nature
178 rdf:type schema:Periodical
179 sg:person.011357474467.78 schema:affiliation grid-institutes:grid.8653.8
180 schema:familyName van der Schrier
181 schema:givenName Gerard
182 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011357474467.78
183 rdf:type schema:Person
184 sg:person.01175513306.41 schema:affiliation grid-institutes:grid.12380.38
185 schema:familyName Scussolini
186 schema:givenName Paolo
187 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01175513306.41
188 rdf:type schema:Person
189 sg:person.012576657501.96 schema:affiliation grid-institutes:grid.8653.8
190 schema:familyName Kew
191 schema:givenName Sarah
192 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012576657501.96
193 rdf:type schema:Person
194 sg:person.01326463237.80 schema:affiliation grid-institutes:grid.7445.2
195 schema:familyName Otto
196 schema:givenName Friederike
197 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01326463237.80
198 rdf:type schema:Person
199 sg:person.013417612611.26 schema:affiliation grid-institutes:grid.8653.8
200 schema:familyName Hariadi
201 schema:givenName Mugni Hadi
202 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013417612611.26
203 rdf:type schema:Person
204 sg:person.013617357062.81 schema:affiliation grid-institutes:None
205 schema:familyName Luu
206 schema:givenName Linh N.
207 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013617357062.81
208 rdf:type schema:Person
209 sg:person.014116526631.03 schema:affiliation grid-institutes:grid.8653.8
210 schema:familyName Philip
211 schema:givenName Sjoukje
212 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014116526631.03
213 rdf:type schema:Person
214 sg:person.014342146261.81 schema:affiliation grid-institutes:grid.8653.8
215 schema:familyName van Oldenborgh
216 schema:givenName Geert Jan
217 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014342146261.81
218 rdf:type schema:Person
219 sg:person.014603673361.32 schema:affiliation grid-institutes:grid.21729.3f
220 schema:familyName van Aalst
221 schema:givenName Maarten K.
222 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014603673361.32
223 rdf:type schema:Person
224 sg:person.015013617450.34 schema:affiliation grid-institutes:None
225 schema:familyName Truong
226 schema:givenName Kien Ba
227 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015013617450.34
228 rdf:type schema:Person
229 sg:person.015251066270.22 schema:affiliation grid-institutes:None
230 schema:familyName Van Vu
231 schema:givenName Thang
232 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015251066270.22
233 rdf:type schema:Person
234 sg:person.0637243716.97 schema:affiliation grid-institutes:grid.457340.1
235 schema:familyName Vautard
236 schema:givenName Robert
237 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0637243716.97
238 rdf:type schema:Person
239 sg:pub.10.1007/s00382-020-05494-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1132474141
240 https://doi.org/10.1007/s00382-020-05494-x
241 rdf:type schema:CreativeWork
242 sg:pub.10.1007/s00382-021-05671-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1135138646
243 https://doi.org/10.1007/s00382-021-05671-6
244 rdf:type schema:CreativeWork
245 sg:pub.10.1007/s00382-021-05728-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1136956491
246 https://doi.org/10.1007/s00382-021-05728-6
247 rdf:type schema:CreativeWork
248 sg:pub.10.1007/s10584-017-1906-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083420168
249 https://doi.org/10.1007/s10584-017-1906-3
250 rdf:type schema:CreativeWork
251 sg:pub.10.1007/s10584-018-2252-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105601377
252 https://doi.org/10.1007/s10584-018-2252-9
253 rdf:type schema:CreativeWork
254 sg:pub.10.1007/s11069-018-3202-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101017573
255 https://doi.org/10.1007/s11069-018-3202-6
256 rdf:type schema:CreativeWork
257 sg:pub.10.1038/s41467-018-07882-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1110929190
258 https://doi.org/10.1038/s41467-018-07882-8
259 rdf:type schema:CreativeWork
260 sg:pub.10.1038/s41586-018-0673-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1109832848
261 https://doi.org/10.1038/s41586-018-0673-2
262 rdf:type schema:CreativeWork
263 sg:pub.10.1038/s41598-020-73508-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1131429789
264 https://doi.org/10.1038/s41598-020-73508-z
265 rdf:type schema:CreativeWork
266 grid-institutes:None schema:alternateName National Centre for Hydro - Meteorological Forecasting, Hanoi, Vietnam
267 Vietnam Institute of Meteorology Hydrology and Climate Change, Hanoi, Vietnam
268 schema:name National Centre for Hydro - Meteorological Forecasting, Hanoi, Vietnam
269 Royal Netherlands Meteorological Institute (KNMI), De Bilt, Netherlands
270 Vietnam Institute of Meteorology Hydrology and Climate Change, Hanoi, Vietnam
271 rdf:type schema:Organization
272 grid-institutes:grid.12380.38 schema:alternateName Institute for Environmental Studies, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
273 schema:name Institute for Environmental Studies, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
274 Royal Netherlands Meteorological Institute (KNMI), De Bilt, Netherlands
275 rdf:type schema:Organization
276 grid-institutes:grid.21729.3f schema:alternateName International Research Institute for Climate and Society, Columbia University, New York, NY, USA
277 schema:name Faculty of Geo-information Science and Earth Observation, University of Twente, Enschede, The Netherlands
278 International Research Institute for Climate and Society, Columbia University, New York, NY, USA
279 Red Cross Red Crescent Climate Centre, The Hague, The Netherlands
280 rdf:type schema:Organization
281 grid-institutes:grid.457340.1 schema:alternateName Laboratoire des Sciences du Climat et de l’Environnement, UMR 8212 CEA-CNRS-UVSQ, Université Paris-Saclay and IPSL, Gif-sur-Yvette, France
282 schema:name Laboratoire des Sciences du Climat et de l’Environnement, UMR 8212 CEA-CNRS-UVSQ, Université Paris-Saclay and IPSL, Gif-sur-Yvette, France
283 rdf:type schema:Organization
284 grid-institutes:grid.7445.2 schema:alternateName Grantham Institute, Imperial College London, London, UK
285 schema:name Grantham Institute, Imperial College London, London, UK
286 rdf:type schema:Organization
287 grid-institutes:grid.8653.8 schema:alternateName Royal Netherlands Meteorological Institute (KNMI), De Bilt, Netherlands
288 schema:name Royal Netherlands Meteorological Institute (KNMI), De Bilt, Netherlands
289 rdf:type schema:Organization
 




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


...