Ontology type: schema:ScholarlyArticle Open Access: True
2017-12
AUTHORSDaniel Hui Loong Ng, Ruimin Li, Srivatsan V. Raghavan, Shie-Yui Liong
ABSTRACTAtmospheric aerosols influence precipitation by changing the earth's energy budget and cloud properties. A number of studies have reported correlations between aerosol properties and precipitation data. Despite previous research, it is still hard to quantify the overall effects that aerosols have on precipitation as multiple influencing factors such as relative humidity (RH) can distort the observed relationship between aerosols and precipitation. Thus, in this study, both satellite-retrieved and reanalysis data were used to investigate the relationship between aerosols and precipitation in the Southeast Asia region from 2001 to 2015, with RH considered as a possible influencing factor. Different analyses in the study indicate that a positive correlation was present between Aerosol Optical Depth (AOD) and precipitation over northern Southeast Asia region during the autumn and the winter seasons, while a negative correlation was identified over the Maritime Continent during the autumn season. Subsequently, a partial correlation analysis revealed that while RH influences the long-term negative correlations between AOD and precipitation, it did not significantly affect the positive correlations seen in the winter season. The result of this study provides additional evidence with respect to the critical role of RH as an influencing factor in AOD-precipitation relationship over Southeast Asia. More... »
PAGES13395
http://scigraph.springernature.com/pub.10.1038/s41598-017-10858-1
DOIhttp://dx.doi.org/10.1038/s41598-017-10858-1
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1092170338
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/29042618
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/2008/1102",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Cardiorespiratory Medicine and Haematology",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Medical and Health Sciences",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "National University of Singapore",
"id": "https://www.grid.ac/institutes/grid.4280.e",
"name": [
"Department of Civil and Environmental Engineering, National University of Singapore, Singapore, Singapore",
"Tropical Marine Science Institute, National University of Singapore, Singapore, Singapore"
],
"type": "Organization"
},
"familyName": "Ng",
"givenName": "Daniel Hui Loong",
"id": "sg:person.07443515163.06",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07443515163.06"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "National University of Singapore",
"id": "https://www.grid.ac/institutes/grid.4280.e",
"name": [
"Department of Civil and Environmental Engineering, National University of Singapore, Singapore, Singapore",
"Tropical Marine Science Institute, National University of Singapore, Singapore, Singapore"
],
"type": "Organization"
},
"familyName": "Li",
"givenName": "Ruimin",
"id": "sg:person.010241075563.84",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010241075563.84"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Singapore-MIT Alliance for Research and Technology",
"id": "https://www.grid.ac/institutes/grid.429485.6",
"name": [
"Tropical Marine Science Institute, National University of Singapore, Singapore, Singapore",
"Center for Environmental Sensing and Modeling, Singapore-MIT Alliance for Research and Technology, Singapore, Singapore"
],
"type": "Organization"
},
"familyName": "Raghavan",
"givenName": "Srivatsan V.",
"id": "sg:person.011036456163.20",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011036456163.20"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Singapore-MIT Alliance for Research and Technology",
"id": "https://www.grid.ac/institutes/grid.429485.6",
"name": [
"Department of Civil and Environmental Engineering, National University of Singapore, Singapore, Singapore",
"Tropical Marine Science Institute, National University of Singapore, Singapore, Singapore",
"Center for Environmental Sensing and Modeling, Singapore-MIT Alliance for Research and Technology, Singapore, Singapore",
"Willis Re Inc., London, UK"
],
"type": "Organization"
},
"familyName": "Liong",
"givenName": "Shie-Yui",
"id": "sg:person.011665110615.91",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011665110615.91"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1126/science.1064034",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000012262"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1080/01431161.2013.777489",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000563743"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1126/science.1092779",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1001268342"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1175/1520-0469(1977)034<1149:tiopot>2.0.co;2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1003850080"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.5194/acp-11-8271-2011",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004344806"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1029/2006jb004833",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005532797"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.5194/acp-11-11455-2011",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1006497674"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/sdata.2015.66",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007951989",
"https://doi.org/10.1038/sdata.2015.66"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.dynatmoce.2007.05.002",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1010070604"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.atmosres.2015.06.002",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1011504431"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1256/qj.03.64",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012322916"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1029/2007jd009661",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012559001"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1088/1748-9326/9/11/114018",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1014552644"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/ngeo2107",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015027291",
"https://doi.org/10.1038/ngeo2107"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/qj.4970073804",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015279107"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1073/pnas.0812721106",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016312707"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.atmosenv.2005.07.063",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016344076"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1029/2006gl026561",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016381569"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature04348",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016978384",
"https://doi.org/10.1038/nature04348"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature04348",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016978384",
"https://doi.org/10.1038/nature04348"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature04348",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016978384",
"https://doi.org/10.1038/nature04348"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1175/jhm560.1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018207213"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/joc.1044",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1019596485"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.scitotenv.2016.08.213",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1020510872"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1088/1748-9326/8/3/034025",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021181326"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10531-009-9756-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024704938",
"https://doi.org/10.1007/s10531-009-9756-6"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10531-009-9756-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024704938",
"https://doi.org/10.1007/s10531-009-9756-6"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10531-009-9756-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024704938",
"https://doi.org/10.1007/s10531-009-9756-6"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.atmosres.2012.06.005",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024962665"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/ngeo1364",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1025200082",
"https://doi.org/10.1038/ngeo1364"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1126/science.1090228",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1025720379"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1175/1520-0442(2003)016<2735:sosasw>2.0.co;2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027678006"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.atmosenv.2010.12.047",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030195126"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1256/qj.04.62",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1031082093"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1256/qj.04.62",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1031082093"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.5194/acp-14-9677-2014",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1031519213"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1029/2010gl045081",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032069936"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1126/science.1160606",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1033218792"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1175/jcli-d-12-00253.1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1033361489"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1175/jcli-d-11-00663.1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1033443825"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1029/2006jd008136",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035021450"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.asr.2016.08.042",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038301546"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/qj.828",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1039601605"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1029/2005jd006884",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1040018440"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.5194/acp-13-675-2013",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1040055659"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1175/jcli-3257.1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1040437861"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1029/2011rg000369",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1041909712"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/2014gl060958",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1042606307"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1175/2007jamc1745.1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1042809229"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.atmosenv.2011.08.065",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1043055980"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature03174",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1043216566",
"https://doi.org/10.1038/nature03174"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature03174",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1043216566",
"https://doi.org/10.1038/nature03174"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10712-012-9213-z",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1043911982",
"https://doi.org/10.1007/s10712-012-9213-z"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0065-2687(08)60142-9",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045615910"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.5194/acp-12-2117-2012",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045849080"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1175/2011jcli4033.1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048033888"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1029/2005jg000142",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048587719"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/grl.50318",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1052368561"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1126/science.1184937",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1062461437"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1126/science.1184937",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1062461437"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1127/0941-2948/2006/0130",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1062699594"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1175/jas-d-16-0037.1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1063454843"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.5194/acp-17-2401-2017",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1083897383"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00704-017-2111-z",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1085208839",
"https://doi.org/10.1007/s00704-017-2111-z"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00704-017-2111-z",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1085208839",
"https://doi.org/10.1007/s00704-017-2111-z"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/igarss.2014.6946403",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1093564254"
],
"type": "CreativeWork"
}
],
"datePublished": "2017-12",
"datePublishedReg": "2017-12-01",
"description": "Atmospheric aerosols influence precipitation by changing the earth's energy budget and cloud properties. A number of studies have reported correlations between aerosol properties and precipitation data. Despite previous research, it is still hard to quantify the overall effects that aerosols have on precipitation as multiple influencing factors such as relative humidity (RH) can distort the observed relationship between aerosols and precipitation. Thus, in this study, both satellite-retrieved and reanalysis data were used to investigate the relationship between aerosols and precipitation in the Southeast Asia region from 2001 to 2015, with RH considered as a possible influencing factor. Different analyses in the study indicate that a positive correlation was present between Aerosol Optical Depth (AOD) and precipitation over northern Southeast Asia region during the autumn and the winter seasons, while a negative correlation was identified over the Maritime Continent during the autumn season. Subsequently, a partial correlation analysis revealed that while RH influences the long-term negative correlations between AOD and precipitation, it did not significantly affect the positive correlations seen in the winter season. The result of this study provides additional evidence with respect to the critical role of RH as an influencing factor in AOD-precipitation relationship over Southeast Asia.",
"genre": "research_article",
"id": "sg:pub.10.1038/s41598-017-10858-1",
"inLanguage": [
"en"
],
"isAccessibleForFree": true,
"isPartOf": [
{
"id": "sg:journal.1045337",
"issn": [
"2045-2322"
],
"name": "Scientific Reports",
"type": "Periodical"
},
{
"issueNumber": "1",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "7"
}
],
"name": "Investigating the relationship between Aerosol Optical Depth and Precipitation over Southeast Asia with Relative Humidity as an influencing factor",
"pagination": "13395",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"03cef6da46ae59a2643d7ed905025b6200a0380296b94f93136c793992cbdb70"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"29042618"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"101563288"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1038/s41598-017-10858-1"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1092170338"
]
}
],
"sameAs": [
"https://doi.org/10.1038/s41598-017-10858-1",
"https://app.dimensions.ai/details/publication/pub.1092170338"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T02:23",
"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/v90/0000000001_0000000264/records_8700_00000563.jsonl",
"type": "ScholarlyArticle",
"url": "https://www.nature.com/articles/s41598-017-10858-1"
}
]Download the RDF metadata as: json-ld nt turtle xml License info
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.10.1038/s41598-017-10858-1'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41598-017-10858-1'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-017-10858-1'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-017-10858-1'
This table displays all metadata directly associated to this object as RDF triples.
278 TRIPLES
21 PREDICATES
87 URIs
21 LITERALS
9 BLANK NODES