{
"USGS Publications Warehouse": {
"@context": "https://schema.org",
"@type": "Article",
"additionalType": "Journal Article",
"name": "A statistical framework for integrating nonparametric proxy distributions into geological reconstructions of relative sea level",
"identifier": [
{
"@type": "PropertyValue",
"propertyID": "USGS Publications Warehouse IndexID",
"value": "70228674",
"url": "https://pubs.usgs.gov/publication/70228674"
},
{
"@type": "PropertyValue",
"propertyID": "USGS Publications Warehouse Internal ID",
"value": 70228674
},
{
"@type": "PropertyValue",
"propertyID": "DOI",
"value": "10.5194/ascmo-8-1-2022",
"url": "https://doi.org/10.5194/ascmo-8-1-2022"
}
],
"journal": {
"@type": "Periodical",
"name": "Advances in Statistical Climatology, Meteorology and Oceanography",
"volumeNumber": "8",
"issueNumber": null
},
"inLanguage": "en",
"isPartOf": [
{
"@type": "CreativeWorkSeries",
"name": "Advances in Statistical Climatology, Meteorology and Oceanography"
}
],
"datePublished": "2022",
"dateModified": "2022-02-16",
"abstract": "Robust, proxy-based reconstructions of relative sea-level (RSL) change are critical to distinguishing the processes that drive spatial and temporal sea-level variability. The relationships between individual proxies and RSL can be complex and are often poorly represented by traditional methods that assume Gaussian likelihood distributions. We develop a new statistical framework to estimate past RSL change based on nonparametric, empirical modern distributions of proxies in relation to RSL, applying the framework to corals and mangroves as an illustrative example. We validate our model by comparing its skill in reconstructing RSL and rates of change to two previous RSL models using synthetic time-series datasets based on Holocene sea-level data from South Florida. The new framework results in lower bias, better model fit, and greater accuracy and precision than the two previous RSL models. We also perform sensitivity tests using sea-level scenarios based on two periods of interest \u2013 meltwater pulses (MWPs) and the Holocene \u2013 to analyze the sensitivity of the statistical reconstructions to the quantity and precision of proxy data; we define high-precision indicators, such as mangroves and the reef-crest coral\u00a0Acropora palmata, with 2\u03c3\u00a0vertical uncertainties within\u00a0\u00b1\u20093\u2009m and lower-precision indicators, such as\u00a0Orbicella\u00a0spp., with 2\u03c3\u00a0vertical uncertainties within\u00a0\u00b1\u200910\u2009m. For reconstructing rapid rates of change in RSL of up to\u00a0\u223c\u200940\u2009m\u2009kyr\u22121, such as those that may have characterized MWPs during deglacial periods, we find that employing the nonparametric model with 5 to 10 high-precision data points per kiloyear enables us to constrain rates to within\u00a0\u00b1\u20093\u2009m\u2009kyr\u22121\u00a0(1\u03c3). For reconstructing RSL with rates of up to\u00a0\u223c\u200915\u2009m\u2009kyr\u22121, as observed during the Holocene, we conclude that employing the model with 5 to 10 high-precision (or a combination of high- and low-precision) data points per kiloyear enables precise estimates of RSL within\u00a0\u20092\u2009m (2\u03c3) and accurate RSL reconstructions with errors\u00a0\u2272\u20090.7\u2009m. Employing the nonparametric model with only lower-precision indicators also produces fairly accurate estimates of RSL with errors\u00a0\u22721.50\u2009m, although with less precision, only constraining RSL to\u00a0\u20093\u20134\u2009m (2\u03c3). Although the model performs better than previous models in terms of bias, model fit, accuracy, and precision, it is computationally expensive to run because it requires inverting large matrices for every sample. The new model also provides minimal gains over similar models when a large quantity of high-precision data are available. Therefore, we recommend incorporating the nonparametric likelihood distributions when no other information (e.g., reef facies or epibionts indicative of shallow-water environments to refine coral elevational uncertainties) or no high-precision data are available at a location or during a given time period of interest.",
"description": "29 p.",
"publisher": {
"@type": "Organization",
"name": "Copernicus Publications"
},
"author": [
{
"@type": "Person",
"name": "Kopp, Robert E.",
"givenName": "Robert E.",
"familyName": "Kopp"
},
{
"@type": "Person",
"name": "Dutton, Andrea",
"givenName": "Andrea",
"familyName": "Dutton"
},
{
"@type": "Person",
"name": "Toth, Lauren ltoth@usgs.gov",
"givenName": "Lauren",
"familyName": "Toth",
"email": "ltoth@usgs.gov",
"identifier": {
"@type": "PropertyValue",
"propertyID": "ORCID",
"value": "0000-0002-2568-802X",
"url": "https://orcid.org/0000-0002-2568-802X"
},
"affiliation": [
{
"@type": "Organization",
"name": "St. Petersburg Coastal and Marine Science Center",
"url": "https://www.usgs.gov/centers/spcmsc"
}
]
},
{
"@type": "Person",
"name": "Khan, Nicole S.",
"givenName": "Nicole S.",
"familyName": "Khan",
"affiliation": [
{
"@type": "Organization",
"name": "Asian School of the Environment, Nanyang Technological University, 50 Nanyang Ave., Singapore 639798"
}
]
},
{
"@type": "Person",
"name": "Ashe, Erica L.",
"givenName": "Erica L.",
"familyName": "Ashe",
"affiliation": [
{
"@type": "Organization",
"name": "Rutgers University"
}
]
}
],
"funder": [
{
"@type": "Organization",
"name": "St. Petersburg Coastal and Marine Science Center",
"url": "https://www.usgs.gov/centers/spcmsc"
}
]
},
"OpenAlex": {
"_id": "https://openalex.org/w4213363345",
"abstract_inverted_index": {
"Abstract.": [
0
],
"Robust,": [
1
],
"proxy-based": [
2
],
"reconstructions": [
3,
161,
312
],
"of": [
4,
62,
92,
144,
158,
167,
210,
214,
265,
291,
302,
331,
359,
395,
418,
441
],
"relative": [
5
],
"sea-level": [
6,
20,
106,
138
],
"(RSL)": [
7
],
"change": [
8,
55,
93,
211
],
"are": [
9,
33,
398,
430
],
"critical": [
10
],
"to": [
11,
51,
66,
71,
94,
154,
162,
216,
241,
250,
253,
267,
285,
344,
370,
421
],
"distinguishing": [
12
],
"the": [
13,
69,
127,
151,
156,
159,
163,
178,
236,
275,
281,
319,
350,
404
],
"processes": [
14
],
"that": [
15,
40,
224,
234,
279
],
"drive": [
16
],
"spatial": [
17
],
"and": [
18,
27,
32,
73,
90,
121,
124,
150,
165,
177,
191,
293,
309,
364
],
"temporal": [
19
],
"variability.": [
21
],
"The": [
22,
111,
381
],
"relationships": [
23
],
"between": [
24
],
"individual": [
25
],
"proxies": [
26,
63
],
"RSL": [
28,
54,
89,
97,
130,
213,
262,
303,
311,
332,
343
],
"can": [
29
],
"be": [
30
],
"complex": [
31
],
"often": [
34
],
"poorly": [
35
],
"represented": [
36
],
"by": [
37,
83
],
"traditional": [
38
],
"methods": [
39
],
"assume": [
41
],
"Gaussian": [
42
],
"likelihood": [
43,
406
],
"distributions.": [
44
],
"We": [
45,
79,
132
],
"develop": [
46
],
"a": [
47,
289,
392,
433,
437
],
"new": [
48,
112,
382
],
"statistical": [
49,
160
],
"framework": [
50,
70,
113
],
"estimate": [
52
],
"past": [
53
],
"based": [
56,
103,
140
],
"on": [
57,
104,
141
],
"nonparametric,": [
58
],
"empirical": [
59
],
"modern": [
60
],
"distributions": [
61,
407
],
"in": [
64,
87,
115,
212,
357
],
"relation": [
65
],
"RSL,": [
67
],
"applying": [
68
],
"corals": [
72
],
"mangroves": [
74,
176
],
"as": [
75,
175,
195,
222,
272
],
"an": [
76
],
"illustrative": [
77
],
"example.": [
78
],
"validate": [
80
],
"our": [
81
],
"model": [
82,
119,
238,
282,
321,
351,
361,
383
],
"comparing": [
84
],
"its": [
85
],
"skill": [
86
],
"reconstructing": [
88,
207,
261
],
"rates": [
91,
209,
252,
264
],
"two": [
95,
128,
142
],
"previous": [
96,
129,
355
],
"models": [
98,
356,
390
],
"using": [
99,
137
],
"synthetic": [
100
],
"time-series": [
101
],
"datasets": [
102
],
"Holocene": [
105,
152
],
"data": [
107,
244,
295,
397,
429
],
"from": [
108
],
"South": [
109
],
"Florida.": [
110
],
"results": [
114
],
"lower": [
116
],
"bias,": [
117,
360
],
"better": [
118,
353
],
"fit,": [
120,
362
],
"greater": [
122
],
"accuracy": [
123
],
"precision": [
125,
166
],
"than": [
126,
354
],
"models.": [
131
],
"also": [
133,
326,
384
],
"perform": [
134
],
"sensitivity": [
135,
157
],
"tests": [
136
],
"scenarios": [
139
],
"periods": [
143
],
"interest": [
145
],
"\u2013": [
146,
153
],
"meltwater": [
147
],
"pulses": [
148
],
"(MWPs)": [
149
],
"analyze": [
155
],
"quantity": [
164,
394
],
"proxy": [
168
],
"data;": [
169
],
"we": [
170,
232,
277,
401
],
"define": [
171
],
"high-precision": [
172,
243,
287,
396,
428
],
"indicators,": [
173,
193
],
"such": [
174,
194,
221
],
"reef-crest": [
179
],
"coral": [
180,
423
],
"Acropora": [
181
],
"palmata,": [
182
],
"with": [
183,
198,
239,
263,
283,
313,
322,
333,
338
],
"2\u03c3": [
184,
199
],
"vertical": [
185,
200
],
"uncertainties": [
186,
201
],
"within": [
187,
202,
254,
304
],
"\u00b1": [
188,
203,
255
],
"3": [
189,
256
],
"m": [
190,
219,
257,
270,
307,
347
],
"lower-precision": [
192,
324
],
"Orbicella": [
196
],
"spp.,": [
197
],
"10": [
204,
242,
286
],
"m.": [
205,
317
],
"For": [
206,
260
],
"rapid": [
208
],
"up": [
215,
266
],
"\u223c": [
217,
268
],
"40": [
218
],
"kyr\u22121,": [
220,
271
],
"those": [
223
],
"may": [
225
],
"have": [
226
],
"characterized": [
227
],
"MWPs": [
228
],
"during": [
229,
274,
436
],
"deglacial": [
230
],
"periods,": [
231
],
"find": [
233
],
"employing": [
235,
280
],
"nonparametric": [
237,
320,
405
],
"5": [
240,
284
],
"points": [
245,
296
],
"per": [
246,
297
],
"kiloyear": [
247,
298
],
"enables": [
248,
299
],
"us": [
249
],
"constrain": [
251
],
"kyr\u22121": [
258
],
"(1\u03c3).": [
259
],
"15": [
269
],
"observed": [
273
],
"Holocene,": [
276
],
"conclude": [
278
],
"(or": [
288
],
"combination": [
290
],
"high-": [
292
],
"low-precision)": [
294
],
"precise": [
300
],
"estimates": [
301,
330
],
"\u00b1\u223c": [
305,
345
],
"2": [
306
],
"(2\u03c3)": [
308
],
"accurate": [
310,
329
],
"errors": [
314,
334
],
"\u2272": [
315
],
"0.7": [
316
],
"Employing": [
318
],
"only": [
323,
341
],
"indicators": [
325
],
"produces": [
327
],
"fairly": [
328
],
"\u22721.50": [
335
],
"m,": [
336
],
"although": [
337
],
"less": [
339
],
"precision,": [
340,
365
],
"constraining": [
342
],
"3\u20134": [
346
],
"(2\u03c3).": [
348
],
"Although": [
349
],
"performs": [
352
],
"terms": [
358
],
"accuracy,": [
363
],
"it": [
366,
373
],
"is": [
367
],
"computationally": [
368
],
"expensive": [
369
],
"run": [
371
],
"because": [
372
],
"requires": [
374
],
"inverting": [
375
],
"large": [
376,
393
],
"matrices": [
377
],
"for": [
378
],
"every": [
379
],
"sample.": [
380
],
"provides": [
385
],
"minimal": [
386
],
"gains": [
387
],
"over": [
388
],
"similar": [
389
],
"when": [
391,
408
],
"available.": [
399
],
"Therefore,": [
400
],
"recommend": [
402
],
"incorporating": [
403
],
"no": [
409,
427
],
"other": [
410
],
"information": [
411
],
"(e.g.,": [
412
],
"reef": [
413
],
"facies": [
414
],
"or": [
415,
426,
435
],
"epibionts": [
416
],
"indicative": [
417
],
"shallow-water": [
419
],
"environments": [
420
],
"refine": [
422
],
"elevational": [
424
],
"uncertainties)": [
425
],
"available": [
431
],
"at": [
432
],
"location": [
434
],
"given": [
438
],
"time": [
439
],
"period": [
440
],
"interest.": [
442
]
},
"apc_list": {
"value": 0,
"currency": "USD",
"value_usd": 0,
"provenance": "doaj"
},
"apc_paid": null,
"authorships": [
{
"author_position": "first",
"author": {
"id": "https://openalex.org/A5102861909",
"display_name": "Erica L. Ashe",
"orcid": "https://orcid.org/0000-0002-7445-6321"
},
"institutions": [
{
"id": "https://openalex.org/I102322142",
"display_name": "Rutgers, The State University of New Jersey",
"ror": "https://ror.org/05vt9qd57",
"country_code": "US",
"type": "education",
"lineage": [
"https://openalex.org/I102322142"
]
}
],
"countries": [
"US"
],
"is_corresponding": true,
"raw_author_name": "Erica L. Ashe",
"raw_affiliation_strings": [
"Department of Earth and Planetary Sciences, Rutgers University, New Brunswick, NJ, USA",
"Rutgers Institute of Earth, Ocean, and Atmospheric Sciences, Rutgers University, New Brunswick, NJ, USA"
],
"affiliations": [
{
"raw_affiliation_string": "Rutgers Institute of Earth, Ocean, and Atmospheric Sciences, Rutgers University, New Brunswick, NJ, USA",
"institution_ids": [
"https://openalex.org/I102322142"
]
},
{
"raw_affiliation_string": "Department of Earth and Planetary Sciences, Rutgers University, New Brunswick, NJ, USA",
"institution_ids": []
}
]
},
{
"author_position": "middle",
"author": {
"id": "https://openalex.org/A5064894367",
"display_name": "Nicole S. Khan",
"orcid": "https://orcid.org/0000-0002-9845-1103"
},
"institutions": [
{
"id": "https://openalex.org/I889458895",
"display_name": "University of Hong Kong",
"ror": "https://ror.org/02zhqgq86",
"country_code": "HK",
"type": "education",
"lineage": [
"https://openalex.org/I889458895"
]
},
{
"id": "https://openalex.org/I177725633",
"display_name": "Chinese University of Hong Kong",
"ror": "https://ror.org/00t33hh48",
"country_code": "CN",
"type": "education",
"lineage": [
"https://openalex.org/I177725633"
]
}
],
"countries": [
"CN",
"HK"
],
"is_corresponding": false,
"raw_author_name": "Nicole S. Khan",
"raw_affiliation_strings": [
"Department of Earth Sciences, the University of Hong Kong, Hong Kong SAR, China",
"Swire Institute of Marine Sciences, the University of Hong Kong, Hong Kong SAR, China"
],
"affiliations": [
{
"raw_affiliation_string": "Swire Institute of Marine Sciences, the University of Hong Kong, Hong Kong SAR, China",
"institution_ids": [
"https://openalex.org/I889458895"
]
},
{
"raw_affiliation_string": "Department of Earth Sciences, the University of Hong Kong, Hong Kong SAR, China",
"institution_ids": [
"https://openalex.org/I177725633"
]
}
]
},
{
"author_position": "middle",
"author": {
"id": "https://openalex.org/A5023172406",
"display_name": "Lauren T. Toth",
"orcid": "https://orcid.org/0000-0002-2568-802X"
},
"institutions": [
{
"id": "https://openalex.org/I1286329397",
"display_name": "United States Geological Survey",
"ror": "https://ror.org/035a68863",
"country_code": "US",
"type": "government",
"lineage": [
"https://openalex.org/I1286329397",
"https://openalex.org/I1335927249"
]
}
],
"countries": [
"US"
],
"is_corresponding": false,
"raw_author_name": "Lauren T. Toth",
"raw_affiliation_strings": [
"U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center, St. Petersburg, FL, USA"
],
"affiliations": [
{
"raw_affiliation_string": "U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center, St. Petersburg, FL, USA",
"institution_ids": [
"https://openalex.org/I1286329397"
]
}
]
},
{
"author_position": "middle",
"author": {
"id": "https://openalex.org/A5086608588",
"display_name": "Andrea Dutton",
"orcid": "https://orcid.org/0000-0002-3836-119X"
},
"institutions": [
{
"id": "https://openalex.org/I135310074",
"display_name": "University of Wisconsin\u2013Madison",
"ror": "https://ror.org/01y2jtd41",
"country_code": "US",
"type": "education",
"lineage": [
"https://openalex.org/I135310074"
]
}
],
"countries": [
"US"
],
"is_corresponding": true,
"raw_author_name": "Andrea Dutton",
"raw_affiliation_strings": [
"Department of Geoscience, University of Wisconsin\u00e2\u0080\u0093Madison, Madison, WI, USA"
],
"affiliations": [
{
"raw_affiliation_string": "Department of Geoscience, University of Wisconsin\u00e2\u0080\u0093Madison, Madison, WI, USA",
"institution_ids": [
"https://openalex.org/I135310074"
]
}
]
},
{
"author_position": "last",
"author": {
"id": "https://openalex.org/A5061718318",
"display_name": "Robert E. Kopp",
"orcid": "https://orcid.org/0000-0003-4016-9428"
},
"institutions": [
{
"id": "https://openalex.org/I102322142",
"display_name": "Rutgers, The State University of New Jersey",
"ror": "https://ror.org/05vt9qd57",
"country_code": "US",
"type": "education",
"lineage": [
"https://openalex.org/I102322142"
]
}
],
"countries": [
"US"
],
"is_corresponding": true,
"raw_author_name": "Robert E. Kopp",
"raw_affiliation_strings": [
"Department of Earth and Planetary Sciences, Rutgers University, New Brunswick, NJ, USA",
"Rutgers Institute of Earth, Ocean, and Atmospheric Sciences, Rutgers University, New Brunswick, NJ, USA"
],
"affiliations": [
{
"raw_affiliation_string": "Rutgers Institute of Earth, Ocean, and Atmospheric Sciences, Rutgers University, New Brunswick, NJ, USA",
"institution_ids": [
"https://openalex.org/I102322142"
]
},
{
"raw_affiliation_string": "Department of Earth and Planetary Sciences, Rutgers University, New Brunswick, NJ, USA",
"institution_ids": []
}
]
}
],
"best_oa_location": {
"is_oa": true,
"landing_page_url": "https://doi.org/10.5194/ascmo-8-1-2022",
"pdf_url": "https://ascmo.copernicus.org/articles/8/1/2022/ascmo-8-1-2022.pdf",
"source": {
"id": "https://openalex.org/S4210199883",
"display_name": "Advances in statistical climatology, meteorology and oceanography",
"issn_l": "2364-3579",
"issn": [
"2364-3579",
"2364-3587"
],
"is_oa": true,
"is_in_doaj": true,
"is_core": true,
"host_organization": "https://openalex.org/P4310313756",
"host_organization_name": "Copernicus Publications",
"host_organization_lineage": [
"https://openalex.org/P4310313756"
],
"host_organization_lineage_names": [
"Copernicus Publications"
],
"type": "journal"
},
"license": "cc-by",
"license_id": "https://openalex.org/licenses/cc-by",
"version": "publishedVersion",
"is_accepted": true,
"is_published": true
},
"biblio": {
"volume": "8",
"issue": "1",
"first_page": "1",
"last_page": "29"
},
"citation_normalized_percentile": {
"value": 0.664186,
"is_in_top_1_percent": false,
"is_in_top_10_percent": false
},
"cited_by_api_url": "https://api.openalex.org/works?filter=cites:W4213363345",
"cited_by_count": 4,
"cited_by_percentile_year": {
"min": 82,
"max": 85
},
"concepts": [
{
"id": "https://openalex.org/C74501621",
"wikidata": "https://www.wikidata.org/wiki/Q125465",
"display_name": "Sea level",
"level": 2,
"score": 0.5752581
},
{
"id": "https://openalex.org/C102366305",
"wikidata": "https://www.wikidata.org/wiki/Q1097688",
"display_name": "Nonparametric statistics",
"level": 2,
"score": 0.50352925
},
{
"id": "https://openalex.org/C127313418",
"wikidata": "https://www.wikidata.org/wiki/Q1069",
"display_name": "Geology",
"level": 0,
"score": 0.4998448
},
{
"id": "https://openalex.org/C2780148112",
"wikidata": "https://www.wikidata.org/wiki/Q1432581",
"display_name": "Proxy (statistics)",
"level": 2,
"score": 0.4826346
},
{
"id": "https://openalex.org/C140345934",
"wikidata": "https://www.wikidata.org/wiki/Q25445",
"display_name": "Holocene",
"level": 2,
"score": 0.44732213
},
{
"id": "https://openalex.org/C207318512",
"wikidata": "https://www.wikidata.org/wiki/Q360925",
"display_name": "Meltwater",
"level": 3,
"score": 0.41030717
},
{
"id": "https://openalex.org/C105795698",
"wikidata": "https://www.wikidata.org/wiki/Q12483",
"display_name": "Statistics",
"level": 1,
"score": 0.376359
},
{
"id": "https://openalex.org/C100970517",
"wikidata": "https://www.wikidata.org/wiki/Q52107",
"display_name": "Physical geography",
"level": 1,
"score": 0.37071985
},
{
"id": "https://openalex.org/C49204034",
"wikidata": "https://www.wikidata.org/wiki/Q52139",
"display_name": "Climatology",
"level": 1,
"score": 0.3486209
},
{
"id": "https://openalex.org/C111368507",
"wikidata": "https://www.wikidata.org/wiki/Q43518",
"display_name": "Oceanography",
"level": 1,
"score": 0.24145097
},
{
"id": "https://openalex.org/C33923547",
"wikidata": "https://www.wikidata.org/wiki/Q395",
"display_name": "Mathematics",
"level": 0,
"score": 0.16896579
},
{
"id": "https://openalex.org/C205649164",
"wikidata": "https://www.wikidata.org/wiki/Q1071",
"display_name": "Geography",
"level": 0,
"score": 0.1536186
},
{
"id": "https://openalex.org/C100834320",
"wikidata": "https://www.wikidata.org/wiki/Q35666",
"display_name": "Glacier",
"level": 2,
"score": 0.10788107
},
{
"id": "https://openalex.org/C114793014",
"wikidata": "https://www.wikidata.org/wiki/Q52109",
"display_name": "Geomorphology",
"level": 1,
"score": 0.10102889
}
],
"corresponding_author_ids": [
"https://openalex.org/A5102861909",
"https://openalex.org/A5086608588",
"https://openalex.org/A5061718318"
],
"corresponding_institution_ids": [
"https://openalex.org/I102322142",
"https://openalex.org/I135310074",
"https://openalex.org/I102322142"
],
"countries_distinct_count": 3,
"counts_by_year": [
{
"year": 2024,
"cited_by_count": 2
},
{
"year": 2022,
"cited_by_count": 2
}
],
"created_date": "2022-02-24",
"datasets": [],
"display_name": "A statistical framework for integrating nonparametric proxy distributions into geological reconstructions of relative sea level",
"doi": "https://doi.org/10.5194/ascmo-8-1-2022",
"fulltext_origin": "pdf",
"fwci": 0.937,
"grants": [
{
"funder": "https://openalex.org/F4320306076",
"funder_display_name": "National Science Foundation",
"award_id": "OCE-1702587"
},
{
"funder": "https://openalex.org/F4320306076",
"funder_display_name": "National Science Foundation",
"award_id": "OCE-2002437"
}
],
"has_fulltext": true,
"id": "https://openalex.org/W4213363345",
"ids": {
"openalex": "https://openalex.org/W4213363345",
"doi": "https://doi.org/10.5194/ascmo-8-1-2022"
},
"indexed_in": [
"crossref",
"doaj"
],
"institutions_distinct_count": 5,
"is_paratext": false,
"is_retracted": false,
"keywords": [
{
"id": "https://openalex.org/keywords/seafloor-spreading",
"display_name": "Seafloor Spreading",
"score": 0.518335
},
{
"id": "https://openalex.org/keywords/oceanic-modeling",
"display_name": "Oceanic Modeling",
"score": 0.508238
},
{
"id": "https://openalex.org/keywords/proxy",
"display_name": "Proxy (statistics)",
"score": 0.4826346
},
{
"id": "https://openalex.org/keywords/meltwater",
"display_name": "Meltwater",
"score": 0.41030717
}
],
"language": "en",
"locations": [
{
"is_oa": true,
"landing_page_url": "https://doi.org/10.5194/ascmo-8-1-2022",
"pdf_url": "https://ascmo.copernicus.org/articles/8/1/2022/ascmo-8-1-2022.pdf",
"source": {
"id": "https://openalex.org/S4210199883",
"display_name": "Advances in statistical climatology, meteorology and oceanography",
"issn_l": "2364-3579",
"issn": [
"2364-3579",
"2364-3587"
],
"is_oa": true,
"is_in_doaj": true,
"is_core": true,
"host_organization": "https://openalex.org/P4310313756",
"host_organization_name": "Copernicus Publications",
"host_organization_lineage": [
"https://openalex.org/P4310313756"
],
"host_organization_lineage_names": [
"Copernicus Publications"
],
"type": "journal"
},
"license": "cc-by",
"license_id": "https://openalex.org/licenses/cc-by",
"version": "publishedVersion",
"is_accepted": true,
"is_published": true
},
{
"is_oa": false,
"landing_page_url": "https://doaj.org/article/dc1d90002dca4fadaa939909029fca21",
"pdf_url": null,
"source": {
"id": "https://openalex.org/S4306401280",
"display_name": "DOAJ (DOAJ: Directory of Open Access Journals)",
"issn_l": null,
"issn": null,
"is_oa": true,
"is_in_doaj": false,
"is_core": false,
"host_organization": null,
"host_organization_name": null,
"host_organization_lineage": [],
"host_organization_lineage_names": [],
"type": "repository"
},
"license": null,
"license_id": null,
"version": null,
"is_accepted": false,
"is_published": false
}
],
"locations_count": 2,
"mesh": [],
"ngrams_url": "https://api.openalex.org/works/W4213363345/ngrams",
"open_access": {
"is_oa": true,
"oa_status": "diamond",
"oa_url": "https://ascmo.copernicus.org/articles/8/1/2022/ascmo-8-1-2022.pdf",
"any_repository_has_fulltext": false
},
"primary_location": {
"is_oa": true,
"landing_page_url": "https://doi.org/10.5194/ascmo-8-1-2022",
"pdf_url": "https://ascmo.copernicus.org/articles/8/1/2022/ascmo-8-1-2022.pdf",
"source": {
"id": "https://openalex.org/S4210199883",
"display_name": "Advances in statistical climatology, meteorology and oceanography",
"issn_l": "2364-3579",
"issn": [
"2364-3579",
"2364-3587"
],
"is_oa": true,
"is_in_doaj": true,
"is_core": true,
"host_organization": "https://openalex.org/P4310313756",
"host_organization_name": "Copernicus Publications",
"host_organization_lineage": [
"https://openalex.org/P4310313756"
],
"host_organization_lineage_names": [
"Copernicus Publications"
],
"type": "journal"
},
"license": "cc-by",
"license_id": "https://openalex.org/licenses/cc-by",
"version": "publishedVersion",
"is_accepted": true,
"is_published": true
},
"primary_topic": {
"id": "https://openalex.org/T10255",
"display_name": "Oceanic Modeling and Circulation Studies",
"score": 0.9967,
"subfield": {
"id": "https://openalex.org/subfields/1910",
"display_name": "Oceanography"
},
"field": {
"id": "https://openalex.org/fields/19",
"display_name": "Earth and Planetary Sciences"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
"publication_date": "2022-02-14",
"publication_year": 2022,
"referenced_works": [
"https://openalex.org/W1540946605",
"https://openalex.org/W1562504550",
"https://openalex.org/W1668357104",
"https://openalex.org/W1983712312",
"https://openalex.org/W1986916810",
"https://openalex.org/W2013522795",
"https://openalex.org/W2016470212",
"https://openalex.org/W2018560310",
"https://openalex.org/W2021343143",
"https://openalex.org/W2043668683",
"https://openalex.org/W2070619515",
"https://openalex.org/W2094350389",
"https://openalex.org/W2114200946",
"https://openalex.org/W2116624608",
"https://openalex.org/W2122364619",
"https://openalex.org/W2129296281",
"https://openalex.org/W2149686224",
"https://openalex.org/W2150526214",
"https://openalex.org/W2178717301",
"https://openalex.org/W2225156818",
"https://openalex.org/W2254383695",
"https://openalex.org/W2283377266",
"https://openalex.org/W2330917497",
"https://openalex.org/W2416308172",
"https://openalex.org/W2506367938",
"https://openalex.org/W2506727814",
"https://openalex.org/W2551590770",
"https://openalex.org/W2775857825",
"https://openalex.org/W2805817445",
"https://openalex.org/W2886990571",
"https://openalex.org/W2888443629",
"https://openalex.org/W2897840217",
"https://openalex.org/W2948343265",
"https://openalex.org/W3000481694",
"https://openalex.org/W4211049957",
"https://openalex.org/W4248681815",
"https://openalex.org/W621546036"
],
"referenced_works_count": 37,
"related_works": [
"https://openalex.org/W948293265",
"https://openalex.org/W4388312718",
"https://openalex.org/W2747857375",
"https://openalex.org/W2508205034",
"https://openalex.org/W2378185823",
"https://openalex.org/W2360900657",
"https://openalex.org/W2318821219",
"https://openalex.org/W2094371507",
"https://openalex.org/W2067542585",
"https://openalex.org/W2003585752"
],
"sustainable_development_goals": [
{
"score": 0.87,
"display_name": "Life below water",
"id": "https://metadata.un.org/sdg/14"
}
],
"title": "A statistical framework for integrating nonparametric proxy distributions into geological reconstructions of relative sea level",
"topics": [
{
"id": "https://openalex.org/T10255",
"display_name": "Oceanic Modeling and Circulation Studies",
"score": 0.9967,
"subfield": {
"id": "https://openalex.org/subfields/1910",
"display_name": "Oceanography"
},
"field": {
"id": "https://openalex.org/fields/19",
"display_name": "Earth and Planetary Sciences"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T13177",
"display_name": "Geological Evolution of South China Sea",
"score": 0.995,
"subfield": {
"id": "https://openalex.org/subfields/1907",
"display_name": "Geology"
},
"field": {
"id": "https://openalex.org/fields/19",
"display_name": "Earth and Planetary Sciences"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10017",
"display_name": "Climate Change and Paleoclimatology",
"score": 0.9947,
"subfield": {
"id": "https://openalex.org/subfields/1902",
"display_name": "Atmospheric Science"
},
"field": {
"id": "https://openalex.org/fields/19",
"display_name": "Earth and Planetary Sciences"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
}
],
"type": "article",
"type_crossref": "journal-article",
"updated_date": "2024-08-14T03:23:17.647616",
"versions": []
}
}