| 1. Identity statement | ||||
| Reference Type | Journal Article | |||
| Site | mtc-m21d.sid.inpe.br | |||
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identifier | 8JMKD3MGP3W34T/46KJCGP | |||
| Repository | sid.inpe.br/mtc-m21d/2022/04.01.16.02 (restricted access) | |||
| Last Update | 2022:04.01.16.02.17 (UTC) simone | |||
| Metadata Repository | sid.inpe.br/mtc-m21d/2022/04.01.16.02.18 | |||
| Metadata Last Update | 2022:12.20.13.42.13 (UTC) simone | |||
| DOI | 10.1007/s11069-021-05147-0 | |||
| ISSN | 0921-030X | |||
| Citation Key | SantosLyAbOlBoCuZe:2022:MeApUs | |||
| Title | Aridity indices to assess desertification susceptibility: a methodological approach using gridded climate data and cartographic modeling  | |||
| Year | 2022 | |||
| Month | Jan. | |||
| Access Date | 2024, May 04 | |||
| Type of Work | journal article | |||
| Secondary Type | PRE PI | |||
| Number of Files | 1 | |||
| Size | 5540 KiB | |||
| 2. Context | ||||
| Author | 1 Santos, Janaina Cassiano dos 2 Lyra, Gustavo Bastos 3 Abreu, Marcel Carvalho 4 Oliveira Júnior, José Francisco 5 Bohn, Loonardo 6 Cunha Zeri, Gisleine da Silva 7 Zeri, Marcelo | |||
| Group | 1 2 3 4 5 6 DIIAV-CGCT-INPE-MCTI-GOV-BR | |||
| Affiliation | 1 Universidade Federal Fluminense (UFF) 2 Universidade Federal Rural do Rio de Janeiro (URRFJ) 3 Universidade Federal Rural do Rio de Janeiro (URRFJ) 4 Universidade Federal de Alagoas (UFAL) 5 Universidade Federal do Rio Grande do Sul (UFRGS) 6 Instituto Nacional de Pesquisas Espaciais (INPE) 7 Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN) | |||
| Author e-Mail Address | 1 gblyra@ufrrj.br 2 3 4 5 6 giscunhazeri@gmail.com | |||
| Journal | Natural Hazards | |||
| Volume | 111 | |||
| Pages | 2531-2558 | |||
| Secondary Mark | A1_ENGENHARIAS_I A2_GEOGRAFIA A2_CIÊNCIAS_AGRÁRIAS_I B1_INTERDISCIPLINAR B1_GEOCIÊNCIAS | |||
| History (UTC) | 2022-04-01 16:02:18 :: simone -> administrator :: 2022-04-01 16:02:18 :: administrator -> simone :: 2022 2022-04-01 16:04:02 :: simone -> administrator :: 2022 2022-07-17 01:24:45 :: administrator -> simone :: 2022 | |||
| 3. Content and structure | ||||
| Is the master or a copy? | is the master | |||
| Content Stage | completed | |||
| Transferable | 1 | |||
| Content Type | External Contribution | |||
| Version Type | publisher | |||
| Keywords | Land degradation Spatial modeling Geoprocessing Climate | |||
| Abstract | Desertification is a land degradation phenomenon with dire and irreversible consequences, affecting different regions of the world. Assessment of spatial climate susceptibility to desertification requires long-term averages of precipitation (P) and potential evapotranspiration (PET). An alternative to desertification susceptibility analysis is the use of spatially gridded climate data. The aim of this study was to assess an approach based on gridded climate data and cartographic modeling to characterize climate susceptibility to desertification over Southeast Brazil. Two indices were used to identify climate desertification susceptibility: the aridity index I-a (P/PET) and D (PET/P). Precipitation gridded data from the Global Precipitation Climatology Centre (GPCC), and air temperature from the Global Historical Climatology Network (GHCN) were used. The PET was estimated by the Thornthwaite's method using air temperature data. The assessment of these gridded climate series, PET and indices was performed using independent observed climate series (1961-2010) from the National Institute of Meteorology (INMET) of Brazil-(68 weather stations). Determination coefficient (r(2)) and the Willmott's coefficient (d) between gridded and observed data revealed satisfactory precision and agreement for grids of precipitation (r(2) > 0.93, d > 0.90), air temperature (r(2) > 0.94, d > 0.53) and PET (r(2) > 0.93, d > 0.63). Overall, the aridity indices based on climate gridded presented good performance when used to identify areas susceptible to desertification. Susceptible areas to desertification were identified by the index I-a over the Northern regions of Minas Gerais and Rio de Janeiro states. No susceptible areas to desertification were identified using the index D. However, both indices indicated large areas of sub-humid climate, which can be strongly affected by desertification in the future. | |||
| Area | CST | |||
| Arrangement | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Aridity indices to... | |||
| doc Directory Content | access | |||
| source Directory Content | there are no files | |||
| agreement Directory Content |
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| 4. Conditions of access and use | ||||
| Language | en | |||
| Target File | Santos_2022_aridity.pdf | |||
| User Group | self-uploading-INPE-MCTI-GOV-BR simone | |||
| Reader Group | administrator simone | |||
| Visibility | shown | |||
| Archiving Policy | denypublisher denyfinaldraft12 | |||
| Read Permission | deny from all and allow from 150.163 | |||
| Update Permission | not transferred | |||
| 5. Allied materials | ||||
| Linking | Trabalho não Vinculado à Tese/Dissertação | |||
| Next Higher Units | 8JMKD3MGPCW/46KUATE | |||
| Dissemination | WEBSCI; PORTALCAPES; SCOPUS. | |||
| Host Collection | urlib.net/www/2021/06.04.03.40 | |||
| 6. Notes | ||||
| Empty Fields | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarytype url | |||
| 7. Description control | ||||
| e-Mail (login) | simone | |||
| update | ||||