| 1. Identity statement | ||||
| Reference Type | Journal Article | |||
| Site | mtc-m21d.sid.inpe.br | |||
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identifier | 8JMKD3MGP3W34T/4659KSB | |||
| Repository | sid.inpe.br/mtc-m21d/2022/01.03.13.36 (restricted access) | |||
| Last Update | 2022:01.03.13.36.11 (UTC) simone | |||
| Metadata Repository | sid.inpe.br/mtc-m21d/2022/01.03.13.36.11 | |||
| Metadata Last Update | 2022:04.03.19.24.10 (UTC) administrator | |||
| DOI | 10.1029/2021SW002884 | |||
| ISSN | 1542-7390 | |||
| Citation Key | ZhaoLXHSYLNT:2021:PrDaOc | |||
| Title | The Prediction of Day-to-Day Occurrence of Low Latitude Ionospheric Strong Scintillation Using Gradient Boosting Algorithm  | |||
| Year | 2021 | |||
| Month | Dec. | |||
| Access Date | 2024, May 09 | |||
| Type of Work | journal article | |||
| Secondary Type | PRE PI | |||
| Number of Files | 1 | |||
| Size | 3128 KiB | |||
| 2. Context | ||||
| Author | 1 Zhao, Xiukuan 2 Li, Guozhu 3 Xie, Halyong 4 Hu, Lianhuan 5 Sun, Wenjie 6 Yang, Sipeng 7 Li, Yi 8 Ning, Baiqi 9 Takahashi, Hisao | |||
| Resume Identifier | 1 2 3 4 5 6 7 8 9 8JMKD3MGP5W/3C9JHCM | |||
| ORCID | 1 2 0000-0002-7669-3590 3 4 0000-0002-0104-3059 5 0000-0003-3129-5350 6 7 8 9 0000-0002-8844-8920 | |||
| Group | 1 2 3 4 5 6 7 8 9 DIHPA-CGCE-INPE-MCTI-GOV-BR | |||
| Affiliation | 1 Chinese Academy of Sciences 2 Chinese Academy of Sciences 3 Geophysics Center, National Earth System Science Data Center 4 Chinese Academy of Sciences 5 Chinese Academy of Sciences 6 Chinese Academy of Sciences 7 Chinese Academy of Sciences 8 Chinese Academy of Sciences 9 Instituto Nacional de Pesquisas Espaciais (INPE) | |||
| Author e-Mail Address | 1 2 gzlee@mail.iggcas.ac.cn | |||
| Journal | Space Weather | |||
| Volume | 18 | |||
| Number | 12 | |||
| Pages | e2021SW002884 | |||
| Secondary Mark | B1_INTERDISCIPLINAR B1_GEOCIÊNCIAS B2_ASTRONOMIA_/_FÍSICA | |||
| History (UTC) | 2022-01-10 22:16:19 :: simone -> administrator :: 2021 2022-04-03 19:24:10 :: administrator -> simone :: 2021 | |||
| 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 | Equatorial F layer height Gradient boosting algorithm ionospheric scintillation prediction | |||
| Abstract | Ionospheric scintillations caused by equatorial plasma bubbles (EPBs) can seriously affect various high technology systems based on Global Navigation Satellite System (GNSS) signals at equatorial and low latitudes. A reliable prediction of ionospheric scintillation occurrence is critical to relieve the effect. Using the long-term ground-based GNSS receiver and ionosonde data collected in the Brazilian longitude sector during 20122020, an ionospheric strong scintillation prediction model based on the gradient boosting algorithms extreme gradient boosting (XGBoost), light gradient boosting machine (LightGBM), and CatBoost is created and tested. It is for the first time that the XGBoost, LightGBM, and CatBoost are utilized to predict the day-to-day occurrence of regional ionospheric scintillation during post-sunset hours. The relative importance of different parameters affecting EPB/scintillation occurrence for building the prediction model is examined. A comparison of daily scintillation occurrence from the modeled and observed results during 2014 (solar maximum) and 2020 (solar minimum) shows that the gradient boosting algorithms are effective for predicting strong scintillations over low latitude, with a prediction accuracy of ∼85%. The results suggest that the trained model with input of total electron content, equatorial F layer peak height and critical frequency before sunset could be well employed to predict the occurrence/nonoccurrence of intense scintillations over low latitude after sunset on a daily basis. | |||
| Area | CEA | |||
| Arrangement | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCE > The Prediction of... | |||
| doc Directory Content | access | |||
| source Directory Content | there are no files | |||
| agreement Directory Content |
| |||
| 4. Conditions of access and use | ||||
| Language | en | |||
| Target File | zhao_prediction.pdf | |||
| User Group | simone | |||
| Reader Group | administrator simone | |||
| Visibility | shown | |||
| Read Permission | deny from all and allow from 150.163 | |||
| Update Permission | not transferred | |||
| 5. Allied materials | ||||
| Mirror Repository | urlib.net/www/2021/06.04.03.40.25 | |||
| Next Higher Units | 8JMKD3MGPCW/46KTFK8 | |||
| Dissemination | WEBSCI; SCOPUS. | |||
| Host Collection | urlib.net/www/2021/06.04.03.40 | |||
| 6. Notes | ||||
| Empty Fields | alternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark nextedition notes parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url | |||
| 7. Description control | ||||
| e-Mail (login) | simone | |||
| update | ||||