Cargando…
A new tool for predicting drought: An application over India
This is the first attempt of application of atmospheric electricity for rainfall prediction. The atmospheric electrical columnar resistance based on the model calculations involving satellite data has been proposed as a new predictor. It is physically sound, simple to calculate and not probabilistic...
Autor principal: | |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4286766/ https://www.ncbi.nlm.nih.gov/pubmed/25567244 http://dx.doi.org/10.1038/srep07680 |
_version_ | 1782351701737472000 |
---|---|
author | Kulkarni, M. N. |
author_facet | Kulkarni, M. N. |
author_sort | Kulkarni, M. N. |
collection | PubMed |
description | This is the first attempt of application of atmospheric electricity for rainfall prediction. The atmospheric electrical columnar resistance based on the model calculations involving satellite data has been proposed as a new predictor. It is physically sound, simple to calculate and not probabilistic like the standardized precipitation index. After applying this new predictor over India, it has been found that the data solely over the Bay of Bengal (BB) are sufficient to predict a drought over the country as a whole. Finally, two independent new methods to predict drought conditions and a preliminary forecast of the same for India for year 2014 have been given. Unlike the existing drought prediction techniques, the identification of drought conditions in a pre-drought year during 1981–1990 and 2001–2013 over India has been achieved 100% successfully using the suggested new methods. The association between rainfall and this new predictor has also been found on the sub-regional scale. So, the present predictor is expected to get global application and application in climate models. From the analysis, generally, a long period rising trend in aerosol concentration over the BB causes weak monsoon over India but that for a short time i.e. in pre-monsoon period strengthens it. |
format | Online Article Text |
id | pubmed-4286766 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-42867662015-01-16 A new tool for predicting drought: An application over India Kulkarni, M. N. Sci Rep Article This is the first attempt of application of atmospheric electricity for rainfall prediction. The atmospheric electrical columnar resistance based on the model calculations involving satellite data has been proposed as a new predictor. It is physically sound, simple to calculate and not probabilistic like the standardized precipitation index. After applying this new predictor over India, it has been found that the data solely over the Bay of Bengal (BB) are sufficient to predict a drought over the country as a whole. Finally, two independent new methods to predict drought conditions and a preliminary forecast of the same for India for year 2014 have been given. Unlike the existing drought prediction techniques, the identification of drought conditions in a pre-drought year during 1981–1990 and 2001–2013 over India has been achieved 100% successfully using the suggested new methods. The association between rainfall and this new predictor has also been found on the sub-regional scale. So, the present predictor is expected to get global application and application in climate models. From the analysis, generally, a long period rising trend in aerosol concentration over the BB causes weak monsoon over India but that for a short time i.e. in pre-monsoon period strengthens it. Nature Publishing Group 2015-01-08 /pmc/articles/PMC4286766/ /pubmed/25567244 http://dx.doi.org/10.1038/srep07680 Text en Copyright © 2015, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by-nc-sa/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder in order to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/ |
spellingShingle | Article Kulkarni, M. N. A new tool for predicting drought: An application over India |
title | A new tool for predicting drought: An application over India |
title_full | A new tool for predicting drought: An application over India |
title_fullStr | A new tool for predicting drought: An application over India |
title_full_unstemmed | A new tool for predicting drought: An application over India |
title_short | A new tool for predicting drought: An application over India |
title_sort | new tool for predicting drought: an application over india |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4286766/ https://www.ncbi.nlm.nih.gov/pubmed/25567244 http://dx.doi.org/10.1038/srep07680 |
work_keys_str_mv | AT kulkarnimn anewtoolforpredictingdroughtanapplicationoverindia AT kulkarnimn newtoolforpredictingdroughtanapplicationoverindia |