Modeling and Trend Analysis of Climatic Variables of Ranchi District, Jharkhand Article Swipe
Pawan Jeet
,
KN Singh
,
Rajeev Ranjan Kumar
,
BISHAL GURANG
,
AK Singh
,
Ashutosh Upadhyaya
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.21921/jas.v8i2.7295
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.21921/jas.v8i2.7295
In this paper, an attempt has been made to study the temporal variation in monthly, seasonal and annual rainfall, and average annual maximum and minimum temperature for the period 1901-2015 over Ranchi district of Jharkhand, India. Long-term changes in rainfall, temperature was determined by Man-Kendall rank statistics and Sen’s slope, and forecasting of time series was determined by ARIMA model. The results revealed that there was significant decrease of average rainfall in the month of February and August while increase in month May and Pre-monsoon season. Average rainfall in the month of February, May, August and Pre-monsoon season showing insignificant increasing as well as decreasing rainfall trend. The average annual maximum and minimum temperature showing decreasing and increasing trend over Ranchi district during the period 1901 to 2015. This paper also describes five-year prediction of rainfall and temperature climatic variables.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.21921/jas.v8i2.7295
- OA Status
- hybrid
- Cited By
- 6
- References
- 10
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3177935756
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3177935756Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.21921/jas.v8i2.7295Digital Object Identifier
- Title
-
Modeling and Trend Analysis of Climatic Variables of Ranchi District, JharkhandWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-06-30Full publication date if available
- Authors
-
Pawan Jeet, KN Singh, Rajeev Ranjan Kumar, BISHAL GURANG, AK Singh, Ashutosh UpadhyayaList of authors in order
- Landing page
-
https://doi.org/10.21921/jas.v8i2.7295Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.21921/jas.v8i2.7295Direct OA link when available
- Concepts
-
Trend analysis, Autoregressive integrated moving average, Monsoon, Maximum temperature, Environmental science, Climatology, Seasonality, Geography, Time series, Statistics, Mathematics, Meteorology, GeologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
6Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 3, 2024: 1, 2023: 1, 2022: 1Per-year citation counts (last 5 years)
- References (count)
-
10Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W3177935756 |
|---|---|
| doi | https://doi.org/10.21921/jas.v8i2.7295 |
| ids.doi | https://doi.org/10.21921/jas.v8i2.7295 |
| ids.mag | 3177935756 |
| ids.openalex | https://openalex.org/W3177935756 |
| fwci | 0.35719256 |
| type | article |
| title | Modeling and Trend Analysis of Climatic Variables of Ranchi District, Jharkhand |
| biblio.issue | 2 |
| biblio.volume | 8 |
| biblio.last_page | 128 |
| biblio.first_page | 120 |
| 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 | 0.9975000023841858 |
| 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/T11186 |
| topics[1].field.id | https://openalex.org/fields/23 |
| topics[1].field.display_name | Environmental Science |
| topics[1].score | 0.9921000003814697 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2306 |
| topics[1].subfield.display_name | Global and Planetary Change |
| topics[1].display_name | Hydrology and Drought Analysis |
| topics[2].id | https://openalex.org/T11490 |
| topics[2].field.id | https://openalex.org/fields/23 |
| topics[2].field.display_name | Environmental Science |
| topics[2].score | 0.9894999861717224 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2305 |
| topics[2].subfield.display_name | Environmental Engineering |
| topics[2].display_name | Hydrological Forecasting Using AI |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C127142870 |
| concepts[0].level | 2 |
| concepts[0].score | 0.6564382910728455 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q7838279 |
| concepts[0].display_name | Trend analysis |
| concepts[1].id | https://openalex.org/C24338571 |
| concepts[1].level | 3 |
| concepts[1].score | 0.6264196634292603 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q2566298 |
| concepts[1].display_name | Autoregressive integrated moving average |
| concepts[2].id | https://openalex.org/C136996986 |
| concepts[2].level | 2 |
| concepts[2].score | 0.5821259617805481 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q42967 |
| concepts[2].display_name | Monsoon |
| concepts[3].id | https://openalex.org/C2985831756 |
| concepts[3].level | 2 |
| concepts[3].score | 0.5805415511131287 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q107291880 |
| concepts[3].display_name | Maximum temperature |
| concepts[4].id | https://openalex.org/C39432304 |
| concepts[4].level | 0 |
| concepts[4].score | 0.5341507196426392 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q188847 |
| concepts[4].display_name | Environmental science |
| concepts[5].id | https://openalex.org/C49204034 |
| concepts[5].level | 1 |
| concepts[5].score | 0.48733124136924744 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q52139 |
| concepts[5].display_name | Climatology |
| concepts[6].id | https://openalex.org/C125403950 |
| concepts[6].level | 2 |
| concepts[6].score | 0.47076940536499023 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q2111082 |
| concepts[6].display_name | Seasonality |
| concepts[7].id | https://openalex.org/C205649164 |
| concepts[7].level | 0 |
| concepts[7].score | 0.39400148391723633 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q1071 |
| concepts[7].display_name | Geography |
| concepts[8].id | https://openalex.org/C151406439 |
| concepts[8].level | 2 |
| concepts[8].score | 0.3574654459953308 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q186588 |
| concepts[8].display_name | Time series |
| concepts[9].id | https://openalex.org/C105795698 |
| concepts[9].level | 1 |
| concepts[9].score | 0.3274903893470764 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q12483 |
| concepts[9].display_name | Statistics |
| concepts[10].id | https://openalex.org/C33923547 |
| concepts[10].level | 0 |
| concepts[10].score | 0.28623080253601074 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[10].display_name | Mathematics |
| concepts[11].id | https://openalex.org/C153294291 |
| concepts[11].level | 1 |
| concepts[11].score | 0.19381946325302124 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q25261 |
| concepts[11].display_name | Meteorology |
| concepts[12].id | https://openalex.org/C127313418 |
| concepts[12].level | 0 |
| concepts[12].score | 0.06432917714118958 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q1069 |
| concepts[12].display_name | Geology |
| keywords[0].id | https://openalex.org/keywords/trend-analysis |
| keywords[0].score | 0.6564382910728455 |
| keywords[0].display_name | Trend analysis |
| keywords[1].id | https://openalex.org/keywords/autoregressive-integrated-moving-average |
| keywords[1].score | 0.6264196634292603 |
| keywords[1].display_name | Autoregressive integrated moving average |
| keywords[2].id | https://openalex.org/keywords/monsoon |
| keywords[2].score | 0.5821259617805481 |
| keywords[2].display_name | Monsoon |
| keywords[3].id | https://openalex.org/keywords/maximum-temperature |
| keywords[3].score | 0.5805415511131287 |
| keywords[3].display_name | Maximum temperature |
| keywords[4].id | https://openalex.org/keywords/environmental-science |
| keywords[4].score | 0.5341507196426392 |
| keywords[4].display_name | Environmental science |
| keywords[5].id | https://openalex.org/keywords/climatology |
| keywords[5].score | 0.48733124136924744 |
| keywords[5].display_name | Climatology |
| keywords[6].id | https://openalex.org/keywords/seasonality |
| keywords[6].score | 0.47076940536499023 |
| keywords[6].display_name | Seasonality |
| keywords[7].id | https://openalex.org/keywords/geography |
| keywords[7].score | 0.39400148391723633 |
| keywords[7].display_name | Geography |
| keywords[8].id | https://openalex.org/keywords/time-series |
| keywords[8].score | 0.3574654459953308 |
| keywords[8].display_name | Time series |
| keywords[9].id | https://openalex.org/keywords/statistics |
| keywords[9].score | 0.3274903893470764 |
| keywords[9].display_name | Statistics |
| keywords[10].id | https://openalex.org/keywords/mathematics |
| keywords[10].score | 0.28623080253601074 |
| keywords[10].display_name | Mathematics |
| keywords[11].id | https://openalex.org/keywords/meteorology |
| keywords[11].score | 0.19381946325302124 |
| keywords[11].display_name | Meteorology |
| keywords[12].id | https://openalex.org/keywords/geology |
| keywords[12].score | 0.06432917714118958 |
| keywords[12].display_name | Geology |
| language | en |
| locations[0].id | doi:10.21921/jas.v8i2.7295 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4210207742 |
| locations[0].source.issn | 2348-8808, 2348-8867 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | 2348-8808 |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Journal of AgriSearch |
| locations[0].source.host_organization | |
| locations[0].source.host_organization_name | |
| locations[0].license | cc-by-nd |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by-nd |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Journal of AgriSearch |
| locations[0].landing_page_url | https://doi.org/10.21921/jas.v8i2.7295 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5014691539 |
| authorships[0].author.orcid | https://orcid.org/0000-0003-0959-0417 |
| authorships[0].author.display_name | Pawan Jeet |
| authorships[0].countries | IN |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I4210111975 |
| authorships[0].affiliations[0].raw_affiliation_string | ICAR Research complex for Eastern Region, Patna-800014, Bihar, India |
| authorships[0].institutions[0].id | https://openalex.org/I4210111975 |
| authorships[0].institutions[0].ror | https://ror.org/023azs158 |
| authorships[0].institutions[0].type | facility |
| authorships[0].institutions[0].lineage | https://openalex.org/I179420787, https://openalex.org/I4210111975 |
| authorships[0].institutions[0].country_code | IN |
| authorships[0].institutions[0].display_name | ICAR Research Complex for NEH Region |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | PAWAN JEET |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | ICAR Research complex for Eastern Region, Patna-800014, Bihar, India |
| authorships[1].author.id | https://openalex.org/A5103993040 |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | KN Singh |
| authorships[1].countries | IN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I1141210 |
| authorships[1].affiliations[0].raw_affiliation_string | ICAR-Indian Agricultural Statistics Research Institute, New Delhi-110012, India |
| authorships[1].institutions[0].id | https://openalex.org/I1141210 |
| authorships[1].institutions[0].ror | https://ror.org/03kkevc75 |
| authorships[1].institutions[0].type | facility |
| authorships[1].institutions[0].lineage | https://openalex.org/I1141210, https://openalex.org/I179420787 |
| authorships[1].institutions[0].country_code | IN |
| authorships[1].institutions[0].display_name | Indian Agricultural Statistics Research Institute |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | KN SINGH |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | ICAR-Indian Agricultural Statistics Research Institute, New Delhi-110012, India |
| authorships[2].author.id | https://openalex.org/A5080182531 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-2670-6189 |
| authorships[2].author.display_name | Rajeev Ranjan Kumar |
| authorships[2].countries | IN |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I1141210 |
| authorships[2].affiliations[0].raw_affiliation_string | ICAR-Indian Agricultural Statistics Research Institute, New Delhi-110012, India |
| authorships[2].institutions[0].id | https://openalex.org/I1141210 |
| authorships[2].institutions[0].ror | https://ror.org/03kkevc75 |
| authorships[2].institutions[0].type | facility |
| authorships[2].institutions[0].lineage | https://openalex.org/I1141210, https://openalex.org/I179420787 |
| authorships[2].institutions[0].country_code | IN |
| authorships[2].institutions[0].display_name | Indian Agricultural Statistics Research Institute |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | RAJEEV RANJAN KUMAR |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | ICAR-Indian Agricultural Statistics Research Institute, New Delhi-110012, India |
| authorships[3].author.id | https://openalex.org/A5026853020 |
| authorships[3].author.orcid | |
| authorships[3].author.display_name | BISHAL GURANG |
| authorships[3].countries | IN |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I1141210 |
| authorships[3].affiliations[0].raw_affiliation_string | ICAR-Indian Agricultural Statistics Research Institute, New Delhi-110012, India |
| authorships[3].institutions[0].id | https://openalex.org/I1141210 |
| authorships[3].institutions[0].ror | https://ror.org/03kkevc75 |
| authorships[3].institutions[0].type | facility |
| authorships[3].institutions[0].lineage | https://openalex.org/I1141210, https://openalex.org/I179420787 |
| authorships[3].institutions[0].country_code | IN |
| authorships[3].institutions[0].display_name | Indian Agricultural Statistics Research Institute |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | BISHAL GURANG |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | ICAR-Indian Agricultural Statistics Research Institute, New Delhi-110012, India |
| authorships[4].author.id | https://openalex.org/A5103052555 |
| authorships[4].author.orcid | |
| authorships[4].author.display_name | AK Singh |
| authorships[4].countries | IN |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I4210111975 |
| authorships[4].affiliations[0].raw_affiliation_string | ICAR Research complex for Eastern Region, Patna-800014, Bihar, India |
| authorships[4].institutions[0].id | https://openalex.org/I4210111975 |
| authorships[4].institutions[0].ror | https://ror.org/023azs158 |
| authorships[4].institutions[0].type | facility |
| authorships[4].institutions[0].lineage | https://openalex.org/I179420787, https://openalex.org/I4210111975 |
| authorships[4].institutions[0].country_code | IN |
| authorships[4].institutions[0].display_name | ICAR Research Complex for NEH Region |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | AK SINGH |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | ICAR Research complex for Eastern Region, Patna-800014, Bihar, India |
| authorships[5].author.id | https://openalex.org/A5082662929 |
| authorships[5].author.orcid | https://orcid.org/0000-0002-1049-0803 |
| authorships[5].author.display_name | Ashutosh Upadhyaya |
| authorships[5].countries | IN |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I4210111975 |
| authorships[5].affiliations[0].raw_affiliation_string | ICAR Research complex for Eastern Region, Patna-800014, Bihar, India |
| authorships[5].institutions[0].id | https://openalex.org/I4210111975 |
| authorships[5].institutions[0].ror | https://ror.org/023azs158 |
| authorships[5].institutions[0].type | facility |
| authorships[5].institutions[0].lineage | https://openalex.org/I179420787, https://openalex.org/I4210111975 |
| authorships[5].institutions[0].country_code | IN |
| authorships[5].institutions[0].display_name | ICAR Research Complex for NEH Region |
| authorships[5].author_position | last |
| authorships[5].raw_author_name | A UPADHYAYA |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | ICAR Research complex for Eastern Region, Patna-800014, Bihar, India |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.21921/jas.v8i2.7295 |
| open_access.oa_status | hybrid |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Modeling and Trend Analysis of Climatic Variables of Ranchi District, Jharkhand |
| 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 | 0.9975000023841858 |
| 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/W2972178982, https://openalex.org/W4225996928, https://openalex.org/W4200426844, https://openalex.org/W4224120527, https://openalex.org/W2329555788, https://openalex.org/W4293247184, https://openalex.org/W2309653337, https://openalex.org/W4312519504, https://openalex.org/W2119601080, https://openalex.org/W2133955003 |
| cited_by_count | 6 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 3 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 1 |
| counts_by_year[2].year | 2023 |
| counts_by_year[2].cited_by_count | 1 |
| counts_by_year[3].year | 2022 |
| counts_by_year[3].cited_by_count | 1 |
| locations_count | 1 |
| best_oa_location.id | doi:10.21921/jas.v8i2.7295 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4210207742 |
| best_oa_location.source.issn | 2348-8808, 2348-8867 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | 2348-8808 |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | Journal of AgriSearch |
| best_oa_location.source.host_organization | |
| best_oa_location.source.host_organization_name | |
| best_oa_location.license | cc-by-nd |
| best_oa_location.pdf_url | |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by-nd |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Journal of AgriSearch |
| best_oa_location.landing_page_url | https://doi.org/10.21921/jas.v8i2.7295 |
| primary_location.id | doi:10.21921/jas.v8i2.7295 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4210207742 |
| primary_location.source.issn | 2348-8808, 2348-8867 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 2348-8808 |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Journal of AgriSearch |
| primary_location.source.host_organization | |
| primary_location.source.host_organization_name | |
| primary_location.license | cc-by-nd |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by-nd |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Journal of AgriSearch |
| primary_location.landing_page_url | https://doi.org/10.21921/jas.v8i2.7295 |
| publication_date | 2021-06-30 |
| publication_year | 2021 |
| referenced_works | https://openalex.org/W1705323604, https://openalex.org/W1976267375, https://openalex.org/W153950006, https://openalex.org/W2598339346, https://openalex.org/W2471240973, https://openalex.org/W3189616935, https://openalex.org/W2036179143, https://openalex.org/W4285719527, https://openalex.org/W1982284907, https://openalex.org/W2612073571 |
| referenced_works_count | 10 |
| abstract_inverted_index.In | 0 |
| abstract_inverted_index.an | 3 |
| abstract_inverted_index.as | 101, 103 |
| abstract_inverted_index.by | 43, 57 |
| abstract_inverted_index.in | 13, 38, 71, 80, 88 |
| abstract_inverted_index.of | 33, 52, 68, 74, 91, 134 |
| abstract_inverted_index.to | 8, 126 |
| abstract_inverted_index.May | 82 |
| abstract_inverted_index.The | 60, 107 |
| abstract_inverted_index.and | 16, 19, 23, 47, 50, 76, 83, 95, 111, 116, 136 |
| abstract_inverted_index.for | 26 |
| abstract_inverted_index.has | 5 |
| abstract_inverted_index.the | 10, 27, 72, 89, 123 |
| abstract_inverted_index.was | 41, 55, 65 |
| abstract_inverted_index.1901 | 125 |
| abstract_inverted_index.May, | 93 |
| abstract_inverted_index.This | 128 |
| abstract_inverted_index.also | 130 |
| abstract_inverted_index.been | 6 |
| abstract_inverted_index.made | 7 |
| abstract_inverted_index.over | 30, 119 |
| abstract_inverted_index.rank | 45 |
| abstract_inverted_index.that | 63 |
| abstract_inverted_index.this | 1 |
| abstract_inverted_index.time | 53 |
| abstract_inverted_index.well | 102 |
| abstract_inverted_index.2015. | 127 |
| abstract_inverted_index.ARIMA | 58 |
| abstract_inverted_index.month | 73, 81, 90 |
| abstract_inverted_index.paper | 129 |
| abstract_inverted_index.study | 9 |
| abstract_inverted_index.there | 64 |
| abstract_inverted_index.trend | 118 |
| abstract_inverted_index.while | 78 |
| abstract_inverted_index.August | 77, 94 |
| abstract_inverted_index.India. | 35 |
| abstract_inverted_index.Ranchi | 31, 120 |
| abstract_inverted_index.annual | 17, 21, 109 |
| abstract_inverted_index.during | 122 |
| abstract_inverted_index.model. | 59 |
| abstract_inverted_index.paper, | 2 |
| abstract_inverted_index.period | 28, 124 |
| abstract_inverted_index.season | 97 |
| abstract_inverted_index.series | 54 |
| abstract_inverted_index.slope, | 49 |
| abstract_inverted_index.trend. | 106 |
| abstract_inverted_index.Average | 86 |
| abstract_inverted_index.Sen’s | 48 |
| abstract_inverted_index.attempt | 4 |
| abstract_inverted_index.average | 20, 69, 108 |
| abstract_inverted_index.changes | 37 |
| abstract_inverted_index.maximum | 22, 110 |
| abstract_inverted_index.minimum | 24, 112 |
| abstract_inverted_index.results | 61 |
| abstract_inverted_index.season. | 85 |
| abstract_inverted_index.showing | 98, 114 |
| abstract_inverted_index.February | 75 |
| abstract_inverted_index.climatic | 138 |
| abstract_inverted_index.decrease | 67 |
| abstract_inverted_index.district | 32, 121 |
| abstract_inverted_index.increase | 79 |
| abstract_inverted_index.monthly, | 14 |
| abstract_inverted_index.rainfall | 70, 87, 105, 135 |
| abstract_inverted_index.revealed | 62 |
| abstract_inverted_index.seasonal | 15 |
| abstract_inverted_index.temporal | 11 |
| abstract_inverted_index.1901-2015 | 29 |
| abstract_inverted_index.February, | 92 |
| abstract_inverted_index.Long-term | 36 |
| abstract_inverted_index.describes | 131 |
| abstract_inverted_index.five-year | 132 |
| abstract_inverted_index.rainfall, | 18, 39 |
| abstract_inverted_index.variation | 12 |
| abstract_inverted_index.Jharkhand, | 34 |
| abstract_inverted_index.decreasing | 104, 115 |
| abstract_inverted_index.determined | 42, 56 |
| abstract_inverted_index.increasing | 100, 117 |
| abstract_inverted_index.prediction | 133 |
| abstract_inverted_index.statistics | 46 |
| abstract_inverted_index.variables. | 139 |
| abstract_inverted_index.Man-Kendall | 44 |
| abstract_inverted_index.Pre-monsoon | 84, 96 |
| abstract_inverted_index.forecasting | 51 |
| abstract_inverted_index.significant | 66 |
| abstract_inverted_index.temperature | 25, 40, 113, 137 |
| abstract_inverted_index.insignificant | 99 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 6 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/13 |
| sustainable_development_goals[0].score | 0.8500000238418579 |
| sustainable_development_goals[0].display_name | Climate action |
| citation_normalized_percentile.value | 0.59080597 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |