Seasonality of Atmospheric River Frequency Depends on Location, Year, and Detection Algorithm Article Swipe
Diya Kamnani
,
Travis O’Brien
,
Samuel Smith
,
Paul W. Staten
,
Christine A. Shields
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.22541/essoar.171900796.61669939/v1
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.22541/essoar.171900796.61669939/v1
Understanding the regional and temporal variability of atmospheric river (AR) seasonality is crucial for preparedness and mitigation of extreme events. Previously thought to peak mainly in winter, recent research reveals that ARs exhibit region-specific seasonality. However, AR analysis is heavily influenced by the chosen detection algorithm. Our study examines how AR seasonality varies based on both location, year and algorithm selection. We investigate the link between year-to-year consistency of peak AR activity and the presence of a dominant seasonal pattern. We categorize regions based on their year-to-year seasonality characteristics, including consistent patterns (e.g., India, Central Asia), patterns with occasional outliers (e.g., British Columbia coast, Gulf of Alaska), and regions lacking a clear dominant season of peak AR frequency (e.g., South Atlantic, parts of Australia). Hence, not all regions exhibit a consistent seasonal cycle of AR activity. Additionally, different algorithms may detect a consistent seasonal pattern for the same region but disagree on the exact dominant season. This is exemplified by the conflicting results obtained for China. Integrated Vapor Transport (IVT) often corroborates consistent or inconsistent patterns across regions. In conclusion, this study suggests that variations in the consistency of seasonal patterns are related not only to the detection technique but also to atmospheric circulation, synoptic and low-frequency anomalies. Understanding the variations in the consistency of seasonal pattern in areas like Britain remains challenging due to algorithmic and physical differences. These findings emphasize the need for a multi-faceted approach to AR research, considering not just detection methodologies but also regional characteristics and atmospheric processes. Understanding the specific reasons for inconsistent seasonal patterns is an important next step for future research to improve forecasts and preparedness.
Related Topics
Concepts
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.22541/essoar.171900796.61669939/v1
- https://essopenarchive.org/doi/pdf/10.22541/essoar.171900796.61669939/v1
- OA Status
- gold
- References
- 23
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4399878309
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4399878309Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.22541/essoar.171900796.61669939/v1Digital Object Identifier
- Title
-
Seasonality of Atmospheric River Frequency Depends on Location, Year, and Detection AlgorithmWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-06-21Full publication date if available
- Authors
-
Diya Kamnani, Travis O’Brien, Samuel Smith, Paul W. Staten, Christine A. ShieldsList of authors in order
- Landing page
-
https://doi.org/10.22541/essoar.171900796.61669939/v1Publisher landing page
- PDF URL
-
https://essopenarchive.org/doi/pdf/10.22541/essoar.171900796.61669939/v1Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://essopenarchive.org/doi/pdf/10.22541/essoar.171900796.61669939/v1Direct OA link when available
- Concepts
-
Seasonality, Outlier, Climatology, Consistency (knowledge bases), Geography, Environmental science, Seasonal adjustment, Statistics, Computer science, Geology, Mathematics, Variable (mathematics), Mathematical analysis, Artificial intelligenceTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
23Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4399878309 |
|---|---|
| doi | https://doi.org/10.22541/essoar.171900796.61669939/v1 |
| ids.doi | https://doi.org/10.22541/essoar.171900796.61669939/v1 |
| ids.openalex | https://openalex.org/W4399878309 |
| fwci | 0.0 |
| type | preprint |
| title | Seasonality of Atmospheric River Frequency Depends on Location, Year, and Detection Algorithm |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T10029 |
| topics[0].field.id | https://openalex.org/fields/23 |
| topics[0].field.display_name | Environmental Science |
| topics[0].score | 0.9994000196456909 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2306 |
| topics[0].subfield.display_name | Global and Planetary Change |
| topics[0].display_name | Climate variability and models |
| topics[1].id | https://openalex.org/T11483 |
| topics[1].field.id | https://openalex.org/fields/19 |
| topics[1].field.display_name | Earth and Planetary Sciences |
| topics[1].score | 0.9980000257492065 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1902 |
| topics[1].subfield.display_name | Atmospheric Science |
| topics[1].display_name | Tropical and Extratropical Cyclones Research |
| topics[2].id | https://openalex.org/T10466 |
| topics[2].field.id | https://openalex.org/fields/19 |
| topics[2].field.display_name | Earth and Planetary Sciences |
| topics[2].score | 0.9947999715805054 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1902 |
| topics[2].subfield.display_name | Atmospheric Science |
| topics[2].display_name | Meteorological Phenomena and Simulations |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C125403950 |
| concepts[0].level | 2 |
| concepts[0].score | 0.871440052986145 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q2111082 |
| concepts[0].display_name | Seasonality |
| concepts[1].id | https://openalex.org/C79337645 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6149306893348694 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q779824 |
| concepts[1].display_name | Outlier |
| concepts[2].id | https://openalex.org/C49204034 |
| concepts[2].level | 1 |
| concepts[2].score | 0.6095720529556274 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q52139 |
| concepts[2].display_name | Climatology |
| concepts[3].id | https://openalex.org/C2776436953 |
| concepts[3].level | 2 |
| concepts[3].score | 0.46407726407051086 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q5163215 |
| concepts[3].display_name | Consistency (knowledge bases) |
| concepts[4].id | https://openalex.org/C205649164 |
| concepts[4].level | 0 |
| concepts[4].score | 0.4570262134075165 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q1071 |
| concepts[4].display_name | Geography |
| concepts[5].id | https://openalex.org/C39432304 |
| concepts[5].level | 0 |
| concepts[5].score | 0.4511408805847168 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q188847 |
| concepts[5].display_name | Environmental science |
| concepts[6].id | https://openalex.org/C169446498 |
| concepts[6].level | 3 |
| concepts[6].score | 0.44053906202316284 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q622893 |
| concepts[6].display_name | Seasonal adjustment |
| concepts[7].id | https://openalex.org/C105795698 |
| concepts[7].level | 1 |
| concepts[7].score | 0.22973865270614624 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q12483 |
| concepts[7].display_name | Statistics |
| concepts[8].id | https://openalex.org/C41008148 |
| concepts[8].level | 0 |
| concepts[8].score | 0.18555516004562378 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[8].display_name | Computer science |
| concepts[9].id | https://openalex.org/C127313418 |
| concepts[9].level | 0 |
| concepts[9].score | 0.16560205817222595 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q1069 |
| concepts[9].display_name | Geology |
| concepts[10].id | https://openalex.org/C33923547 |
| concepts[10].level | 0 |
| concepts[10].score | 0.12655991315841675 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[10].display_name | Mathematics |
| concepts[11].id | https://openalex.org/C182365436 |
| concepts[11].level | 2 |
| concepts[11].score | 0.0 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q50701 |
| concepts[11].display_name | Variable (mathematics) |
| concepts[12].id | https://openalex.org/C134306372 |
| concepts[12].level | 1 |
| concepts[12].score | 0.0 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q7754 |
| concepts[12].display_name | Mathematical analysis |
| concepts[13].id | https://openalex.org/C154945302 |
| concepts[13].level | 1 |
| concepts[13].score | 0.0 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[13].display_name | Artificial intelligence |
| keywords[0].id | https://openalex.org/keywords/seasonality |
| keywords[0].score | 0.871440052986145 |
| keywords[0].display_name | Seasonality |
| keywords[1].id | https://openalex.org/keywords/outlier |
| keywords[1].score | 0.6149306893348694 |
| keywords[1].display_name | Outlier |
| keywords[2].id | https://openalex.org/keywords/climatology |
| keywords[2].score | 0.6095720529556274 |
| keywords[2].display_name | Climatology |
| keywords[3].id | https://openalex.org/keywords/consistency |
| keywords[3].score | 0.46407726407051086 |
| keywords[3].display_name | Consistency (knowledge bases) |
| keywords[4].id | https://openalex.org/keywords/geography |
| keywords[4].score | 0.4570262134075165 |
| keywords[4].display_name | Geography |
| keywords[5].id | https://openalex.org/keywords/environmental-science |
| keywords[5].score | 0.4511408805847168 |
| keywords[5].display_name | Environmental science |
| keywords[6].id | https://openalex.org/keywords/seasonal-adjustment |
| keywords[6].score | 0.44053906202316284 |
| keywords[6].display_name | Seasonal adjustment |
| keywords[7].id | https://openalex.org/keywords/statistics |
| keywords[7].score | 0.22973865270614624 |
| keywords[7].display_name | Statistics |
| keywords[8].id | https://openalex.org/keywords/computer-science |
| keywords[8].score | 0.18555516004562378 |
| keywords[8].display_name | Computer science |
| keywords[9].id | https://openalex.org/keywords/geology |
| keywords[9].score | 0.16560205817222595 |
| keywords[9].display_name | Geology |
| keywords[10].id | https://openalex.org/keywords/mathematics |
| keywords[10].score | 0.12655991315841675 |
| keywords[10].display_name | Mathematics |
| language | en |
| locations[0].id | doi:10.22541/essoar.171900796.61669939/v1 |
| locations[0].is_oa | True |
| locations[0].source | |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://essopenarchive.org/doi/pdf/10.22541/essoar.171900796.61669939/v1 |
| locations[0].version | acceptedVersion |
| locations[0].raw_type | posted-content |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | https://doi.org/10.22541/essoar.171900796.61669939/v1 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5093259776 |
| authorships[0].author.orcid | https://orcid.org/0009-0005-0101-5903 |
| authorships[0].author.display_name | Diya Kamnani |
| authorships[0].countries | US |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I4210119109 |
| authorships[0].affiliations[0].raw_affiliation_string | Department of Earth and Atmospheric Sciences, Indiana University Bloomington |
| authorships[0].institutions[0].id | https://openalex.org/I4210119109 |
| authorships[0].institutions[0].ror | https://ror.org/02k40bc56 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I4210119109, https://openalex.org/I592451 |
| authorships[0].institutions[0].country_code | US |
| authorships[0].institutions[0].display_name | Indiana University Bloomington |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Diya Kamnani |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Department of Earth and Atmospheric Sciences, Indiana University Bloomington |
| authorships[1].author.id | https://openalex.org/A5069134386 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-6643-1175 |
| authorships[1].author.display_name | Travis O’Brien |
| authorships[1].countries | US |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I4210119109 |
| authorships[1].affiliations[0].raw_affiliation_string | Department of Earth and Atmospheric Sciences, Indiana University Bloomington |
| authorships[1].institutions[0].id | https://openalex.org/I4210119109 |
| authorships[1].institutions[0].ror | https://ror.org/02k40bc56 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I4210119109, https://openalex.org/I592451 |
| authorships[1].institutions[0].country_code | US |
| authorships[1].institutions[0].display_name | Indiana University Bloomington |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Travis Allen O'Brien |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Department of Earth and Atmospheric Sciences, Indiana University Bloomington |
| authorships[2].author.id | https://openalex.org/A5014874410 |
| authorships[2].author.orcid | https://orcid.org/0000-0001-9630-8357 |
| authorships[2].author.display_name | Samuel Smith |
| authorships[2].countries | US |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I40347166 |
| authorships[2].affiliations[0].raw_affiliation_string | Geophysical Sciences, University of Chicago |
| authorships[2].affiliations[1].institution_ids | https://openalex.org/I4210119109 |
| authorships[2].affiliations[1].raw_affiliation_string | Department of Earth and Atmospheric Sciences, Indiana University Bloomington |
| authorships[2].institutions[0].id | https://openalex.org/I4210119109 |
| authorships[2].institutions[0].ror | https://ror.org/02k40bc56 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I4210119109, https://openalex.org/I592451 |
| authorships[2].institutions[0].country_code | US |
| authorships[2].institutions[0].display_name | Indiana University Bloomington |
| authorships[2].institutions[1].id | https://openalex.org/I40347166 |
| authorships[2].institutions[1].ror | https://ror.org/024mw5h28 |
| authorships[2].institutions[1].type | education |
| authorships[2].institutions[1].lineage | https://openalex.org/I40347166 |
| authorships[2].institutions[1].country_code | US |
| authorships[2].institutions[1].display_name | University of Chicago |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Samuel Smith |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Department of Earth and Atmospheric Sciences, Indiana University Bloomington, Geophysical Sciences, University of Chicago |
| authorships[3].author.id | https://openalex.org/A5047425338 |
| authorships[3].author.orcid | https://orcid.org/0000-0001-9034-2466 |
| authorships[3].author.display_name | Paul W. Staten |
| authorships[3].countries | US |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I4210119109 |
| authorships[3].affiliations[0].raw_affiliation_string | Department of Earth and Atmospheric Sciences, Indiana University Bloomington |
| authorships[3].institutions[0].id | https://openalex.org/I4210119109 |
| authorships[3].institutions[0].ror | https://ror.org/02k40bc56 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I4210119109, https://openalex.org/I592451 |
| authorships[3].institutions[0].country_code | US |
| authorships[3].institutions[0].display_name | Indiana University Bloomington |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Paul Staten |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Department of Earth and Atmospheric Sciences, Indiana University Bloomington |
| authorships[4].author.id | https://openalex.org/A5066852210 |
| authorships[4].author.orcid | https://orcid.org/0000-0003-4481-1377 |
| authorships[4].author.display_name | Christine A. Shields |
| authorships[4].countries | US |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I4210119109 |
| authorships[4].affiliations[0].raw_affiliation_string | Department of Earth and Atmospheric Sciences, Indiana University Bloomington |
| authorships[4].affiliations[1].institution_ids | https://openalex.org/I107766831, https://openalex.org/I4210133469 |
| authorships[4].affiliations[1].raw_affiliation_string | Climate and Global Dynamics Laboratory, National Center for Atmospheric Research |
| authorships[4].institutions[0].id | https://openalex.org/I4210119109 |
| authorships[4].institutions[0].ror | https://ror.org/02k40bc56 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I4210119109, https://openalex.org/I592451 |
| authorships[4].institutions[0].country_code | US |
| authorships[4].institutions[0].display_name | Indiana University Bloomington |
| authorships[4].institutions[1].id | https://openalex.org/I4210133469 |
| authorships[4].institutions[1].ror | https://ror.org/03qrb1j36 |
| authorships[4].institutions[1].type | government |
| authorships[4].institutions[1].lineage | https://openalex.org/I107766831, https://openalex.org/I1311060795, https://openalex.org/I2799356940, https://openalex.org/I2799356940, https://openalex.org/I4210133469, https://openalex.org/I4210141337, https://openalex.org/I4210150888 |
| authorships[4].institutions[1].country_code | US |
| authorships[4].institutions[1].display_name | NSF NCAR Climate and Global Dynamics Laboratory |
| authorships[4].institutions[2].id | https://openalex.org/I107766831 |
| authorships[4].institutions[2].ror | https://ror.org/05cvfcr44 |
| authorships[4].institutions[2].type | facility |
| authorships[4].institutions[2].lineage | https://openalex.org/I107766831, https://openalex.org/I1311060795, https://openalex.org/I2799356940, https://openalex.org/I4210141337, https://openalex.org/I4210150888 |
| authorships[4].institutions[2].country_code | US |
| authorships[4].institutions[2].display_name | NSF National Center for Atmospheric Research |
| authorships[4].author_position | last |
| authorships[4].raw_author_name | Christine A Shields |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Department of Earth and Atmospheric Sciences, Indiana University Bloomington |
| has_content.pdf | True |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://essopenarchive.org/doi/pdf/10.22541/essoar.171900796.61669939/v1 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Seasonality of Atmospheric River Frequency Depends on Location, Year, and Detection Algorithm |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10029 |
| primary_topic.field.id | https://openalex.org/fields/23 |
| primary_topic.field.display_name | Environmental Science |
| primary_topic.score | 0.9994000196456909 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2306 |
| primary_topic.subfield.display_name | Global and Planetary Change |
| primary_topic.display_name | Climate variability and models |
| related_works | https://openalex.org/W1532945399, https://openalex.org/W3158787888, https://openalex.org/W3149250894, https://openalex.org/W1514804623, https://openalex.org/W4320484469, https://openalex.org/W602745269, https://openalex.org/W3121623257, https://openalex.org/W2551848128, https://openalex.org/W1571151442, https://openalex.org/W27798525 |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.22541/essoar.171900796.61669939/v1 |
| best_oa_location.is_oa | True |
| best_oa_location.source | |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://essopenarchive.org/doi/pdf/10.22541/essoar.171900796.61669939/v1 |
| best_oa_location.version | acceptedVersion |
| best_oa_location.raw_type | posted-content |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | https://doi.org/10.22541/essoar.171900796.61669939/v1 |
| primary_location.id | doi:10.22541/essoar.171900796.61669939/v1 |
| primary_location.is_oa | True |
| primary_location.source | |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://essopenarchive.org/doi/pdf/10.22541/essoar.171900796.61669939/v1 |
| primary_location.version | acceptedVersion |
| primary_location.raw_type | posted-content |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | https://doi.org/10.22541/essoar.171900796.61669939/v1 |
| publication_date | 2024-06-21 |
| publication_year | 2024 |
| referenced_works | https://openalex.org/W2996092436, https://openalex.org/W2563422783, https://openalex.org/W2783901284, https://openalex.org/W3015232219, https://openalex.org/W2898202438, https://openalex.org/W1489614333, https://openalex.org/W2889857758, https://openalex.org/W2025402996, https://openalex.org/W2135648148, https://openalex.org/W2595613894, https://openalex.org/W1535027967, https://openalex.org/W3082477035, https://openalex.org/W2039621654, https://openalex.org/W4248233341, https://openalex.org/W3083180033, https://openalex.org/W2179809962, https://openalex.org/W1690486913, https://openalex.org/W2805570593, https://openalex.org/W2125290109, https://openalex.org/W1733550608, https://openalex.org/W2807310756, https://openalex.org/W2109822482, https://openalex.org/W3016862771 |
| referenced_works_count | 23 |
| abstract_inverted_index.a | 76, 110, 129, 141, 235 |
| abstract_inverted_index.AR | 36, 50, 70, 116, 134, 239 |
| abstract_inverted_index.In | 178 |
| abstract_inverted_index.We | 61, 80 |
| abstract_inverted_index.an | 262 |
| abstract_inverted_index.by | 41, 159 |
| abstract_inverted_index.in | 25, 185, 211, 217 |
| abstract_inverted_index.is | 11, 38, 157, 261 |
| abstract_inverted_index.of | 6, 17, 68, 75, 105, 114, 122, 133, 188, 214 |
| abstract_inverted_index.on | 54, 84, 151 |
| abstract_inverted_index.or | 173 |
| abstract_inverted_index.to | 22, 195, 201, 224, 238, 269 |
| abstract_inverted_index.ARs | 31 |
| abstract_inverted_index.Our | 46 |
| abstract_inverted_index.all | 126 |
| abstract_inverted_index.and | 3, 15, 58, 72, 107, 205, 226, 250, 272 |
| abstract_inverted_index.are | 191 |
| abstract_inverted_index.but | 149, 199, 246 |
| abstract_inverted_index.due | 223 |
| abstract_inverted_index.for | 13, 145, 164, 234, 257, 266 |
| abstract_inverted_index.how | 49 |
| abstract_inverted_index.may | 139 |
| abstract_inverted_index.not | 125, 193, 242 |
| abstract_inverted_index.the | 1, 42, 63, 73, 146, 152, 160, 186, 196, 209, 212, 232, 254 |
| abstract_inverted_index.(AR) | 9 |
| abstract_inverted_index.Gulf | 104 |
| abstract_inverted_index.This | 156 |
| abstract_inverted_index.also | 200, 247 |
| abstract_inverted_index.both | 55 |
| abstract_inverted_index.just | 243 |
| abstract_inverted_index.like | 219 |
| abstract_inverted_index.link | 64 |
| abstract_inverted_index.need | 233 |
| abstract_inverted_index.next | 264 |
| abstract_inverted_index.only | 194 |
| abstract_inverted_index.peak | 23, 69, 115 |
| abstract_inverted_index.same | 147 |
| abstract_inverted_index.step | 265 |
| abstract_inverted_index.that | 30, 183 |
| abstract_inverted_index.this | 180 |
| abstract_inverted_index.with | 97 |
| abstract_inverted_index.year | 57 |
| abstract_inverted_index.(IVT) | 169 |
| abstract_inverted_index.South | 119 |
| abstract_inverted_index.These | 229 |
| abstract_inverted_index.Vapor | 167 |
| abstract_inverted_index.areas | 218 |
| abstract_inverted_index.based | 53, 83 |
| abstract_inverted_index.clear | 111 |
| abstract_inverted_index.cycle | 132 |
| abstract_inverted_index.exact | 153 |
| abstract_inverted_index.often | 170 |
| abstract_inverted_index.parts | 121 |
| abstract_inverted_index.river | 8 |
| abstract_inverted_index.study | 47, 181 |
| abstract_inverted_index.their | 85 |
| abstract_inverted_index.(e.g., | 92, 100, 118 |
| abstract_inverted_index.Asia), | 95 |
| abstract_inverted_index.China. | 165 |
| abstract_inverted_index.Hence, | 124 |
| abstract_inverted_index.India, | 93 |
| abstract_inverted_index.across | 176 |
| abstract_inverted_index.chosen | 43 |
| abstract_inverted_index.coast, | 103 |
| abstract_inverted_index.detect | 140 |
| abstract_inverted_index.future | 267 |
| abstract_inverted_index.mainly | 24 |
| abstract_inverted_index.recent | 27 |
| abstract_inverted_index.region | 148 |
| abstract_inverted_index.season | 113 |
| abstract_inverted_index.varies | 52 |
| abstract_inverted_index.Britain | 220 |
| abstract_inverted_index.British | 101 |
| abstract_inverted_index.Central | 94 |
| abstract_inverted_index.between | 65 |
| abstract_inverted_index.crucial | 12 |
| abstract_inverted_index.events. | 19 |
| abstract_inverted_index.exhibit | 32, 128 |
| abstract_inverted_index.extreme | 18 |
| abstract_inverted_index.heavily | 39 |
| abstract_inverted_index.improve | 270 |
| abstract_inverted_index.lacking | 109 |
| abstract_inverted_index.pattern | 144, 216 |
| abstract_inverted_index.reasons | 256 |
| abstract_inverted_index.regions | 82, 108, 127 |
| abstract_inverted_index.related | 192 |
| abstract_inverted_index.remains | 221 |
| abstract_inverted_index.results | 162 |
| abstract_inverted_index.reveals | 29 |
| abstract_inverted_index.season. | 155 |
| abstract_inverted_index.thought | 21 |
| abstract_inverted_index.winter, | 26 |
| abstract_inverted_index.Alaska), | 106 |
| abstract_inverted_index.Columbia | 102 |
| abstract_inverted_index.However, | 35 |
| abstract_inverted_index.activity | 71 |
| abstract_inverted_index.analysis | 37 |
| abstract_inverted_index.approach | 237 |
| abstract_inverted_index.disagree | 150 |
| abstract_inverted_index.dominant | 77, 112, 154 |
| abstract_inverted_index.examines | 48 |
| abstract_inverted_index.findings | 230 |
| abstract_inverted_index.obtained | 163 |
| abstract_inverted_index.outliers | 99 |
| abstract_inverted_index.pattern. | 79 |
| abstract_inverted_index.patterns | 91, 96, 175, 190, 260 |
| abstract_inverted_index.physical | 227 |
| abstract_inverted_index.presence | 74 |
| abstract_inverted_index.regional | 2, 248 |
| abstract_inverted_index.regions. | 177 |
| abstract_inverted_index.research | 28, 268 |
| abstract_inverted_index.seasonal | 78, 131, 143, 189, 215, 259 |
| abstract_inverted_index.specific | 255 |
| abstract_inverted_index.suggests | 182 |
| abstract_inverted_index.synoptic | 204 |
| abstract_inverted_index.temporal | 4 |
| abstract_inverted_index.Atlantic, | 120 |
| abstract_inverted_index.Transport | 168 |
| abstract_inverted_index.activity. | 135 |
| abstract_inverted_index.algorithm | 59 |
| abstract_inverted_index.detection | 44, 197, 244 |
| abstract_inverted_index.different | 137 |
| abstract_inverted_index.emphasize | 231 |
| abstract_inverted_index.forecasts | 271 |
| abstract_inverted_index.frequency | 117 |
| abstract_inverted_index.important | 263 |
| abstract_inverted_index.including | 89 |
| abstract_inverted_index.location, | 56 |
| abstract_inverted_index.research, | 240 |
| abstract_inverted_index.technique | 198 |
| abstract_inverted_index.Integrated | 166 |
| abstract_inverted_index.Previously | 20 |
| abstract_inverted_index.algorithm. | 45 |
| abstract_inverted_index.algorithms | 138 |
| abstract_inverted_index.anomalies. | 207 |
| abstract_inverted_index.categorize | 81 |
| abstract_inverted_index.consistent | 90, 130, 142, 172 |
| abstract_inverted_index.influenced | 40 |
| abstract_inverted_index.mitigation | 16 |
| abstract_inverted_index.occasional | 98 |
| abstract_inverted_index.processes. | 252 |
| abstract_inverted_index.selection. | 60 |
| abstract_inverted_index.variations | 184, 210 |
| abstract_inverted_index.Australia). | 123 |
| abstract_inverted_index.algorithmic | 225 |
| abstract_inverted_index.atmospheric | 7, 202, 251 |
| abstract_inverted_index.challenging | 222 |
| abstract_inverted_index.conclusion, | 179 |
| abstract_inverted_index.conflicting | 161 |
| abstract_inverted_index.considering | 241 |
| abstract_inverted_index.consistency | 67, 187, 213 |
| abstract_inverted_index.exemplified | 158 |
| abstract_inverted_index.investigate | 62 |
| abstract_inverted_index.seasonality | 10, 51, 87 |
| abstract_inverted_index.variability | 5 |
| abstract_inverted_index.circulation, | 203 |
| abstract_inverted_index.corroborates | 171 |
| abstract_inverted_index.differences. | 228 |
| abstract_inverted_index.inconsistent | 174, 258 |
| abstract_inverted_index.preparedness | 14 |
| abstract_inverted_index.seasonality. | 34 |
| abstract_inverted_index.year-to-year | 66, 86 |
| abstract_inverted_index.Additionally, | 136 |
| abstract_inverted_index.Understanding | 0, 208, 253 |
| abstract_inverted_index.low-frequency | 206 |
| abstract_inverted_index.methodologies | 245 |
| abstract_inverted_index.multi-faceted | 236 |
| abstract_inverted_index.preparedness. | 273 |
| abstract_inverted_index.characteristics | 249 |
| abstract_inverted_index.region-specific | 33 |
| abstract_inverted_index.characteristics, | 88 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/14 |
| sustainable_development_goals[0].score | 0.7599999904632568 |
| sustainable_development_goals[0].display_name | Life below water |
| citation_normalized_percentile.value | 0.11390913 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |