Daily rainfall assimilation based on satellite and weather radar precipitation products along with rain gauge networks
The analysis of the spatial and temporal distribution of storm events contributes to a better use of water resources, for example, the supply of drinking water, irrigation practices, electricity generation and management of extreme events to control floods and mitigate droughts, among others. The tr...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IWA Publishing
2023-11-01
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| Series: | Journal of Hydroinformatics |
| Subjects: | |
| Online Access: | http://jhydro.iwaponline.com/content/25/6/2354 |
| _version_ | 1797428899106258944 |
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| author | Maria Asucena Rodriguez-Ramirez Óscar Arturo Fuentes-Mariles |
| author_facet | Maria Asucena Rodriguez-Ramirez Óscar Arturo Fuentes-Mariles |
| author_sort | Maria Asucena Rodriguez-Ramirez |
| collection | DOAJ |
| description | The analysis of the spatial and temporal distribution of storm events contributes to a better use of water resources, for example, the supply of drinking water, irrigation practices, electricity generation and management of extreme events to control floods and mitigate droughts, among others. The traditional observation of rainfall fields in Mexico has been carried out using rain gauge network data, but their spatial representativeness is unsatisfactory. Therefore, this study reviewed the possibility of obtaining better estimates of the spatial distribution of daily rainfall considering information from three different databases, which include rain gauge measurements and remotely sensed precipitation products of satellite systems and weather radars. In order to determine a two-dimensional rainfall distribution, the information has been merged with a sequential data assimilation scheme up to the diagnostic stage, paying attention to the benefit that the rain gauge network density has on the estimation. With the application of the Barnes method, historical events in the Mexican territory were analyzed using statistical parameters for the validation of the estimates, with satisfactory results because the assimilated rainfalls turned out to be better approximations than the values calculated with the individual databases, even for a not very low density of surface observations.
HIGHLIGHTS
The merging of the three databases considered allows for determining satisfactory approximations of the rainfall fields analyzed, regardless the rain gauge network configuration.;
The increment in the error rates of the assimilated rainfall estimates is mainly due to the lack of accuracy of the remote sensing products.;
The recovery of the spatial behavior of historical storms is possible.; |
| first_indexed | 2024-03-09T09:05:30Z |
| format | Article |
| id | doaj.art-cd41154b26bb429badf031d37298d425 |
| institution | Directory Open Access Journal |
| issn | 1464-7141 1465-1734 |
| language | English |
| last_indexed | 2024-03-09T09:05:30Z |
| publishDate | 2023-11-01 |
| publisher | IWA Publishing |
| record_format | Article |
| series | Journal of Hydroinformatics |
| spelling | doaj.art-cd41154b26bb429badf031d37298d4252023-12-02T10:28:01ZengIWA PublishingJournal of Hydroinformatics1464-71411465-17342023-11-012562354236810.2166/hydro.2023.104104Daily rainfall assimilation based on satellite and weather radar precipitation products along with rain gauge networksMaria Asucena Rodriguez-Ramirez0Óscar Arturo Fuentes-Mariles1 Programa de Maestría y Doctorado en Ingeniería, Universidad Nacional Autónoma de México, Ciudad Universitaria, Alcaldía Coyoacán, C.P. 04510, Ciudad de México, México Instituto de Ingeniería, Universidad Nacional Autónoma de México, Ciudad Universitaria, Alcaldía Coyoacán, C.P. 04510, Ciudad de México, México The analysis of the spatial and temporal distribution of storm events contributes to a better use of water resources, for example, the supply of drinking water, irrigation practices, electricity generation and management of extreme events to control floods and mitigate droughts, among others. The traditional observation of rainfall fields in Mexico has been carried out using rain gauge network data, but their spatial representativeness is unsatisfactory. Therefore, this study reviewed the possibility of obtaining better estimates of the spatial distribution of daily rainfall considering information from three different databases, which include rain gauge measurements and remotely sensed precipitation products of satellite systems and weather radars. In order to determine a two-dimensional rainfall distribution, the information has been merged with a sequential data assimilation scheme up to the diagnostic stage, paying attention to the benefit that the rain gauge network density has on the estimation. With the application of the Barnes method, historical events in the Mexican territory were analyzed using statistical parameters for the validation of the estimates, with satisfactory results because the assimilated rainfalls turned out to be better approximations than the values calculated with the individual databases, even for a not very low density of surface observations. HIGHLIGHTS The merging of the three databases considered allows for determining satisfactory approximations of the rainfall fields analyzed, regardless the rain gauge network configuration.; The increment in the error rates of the assimilated rainfall estimates is mainly due to the lack of accuracy of the remote sensing products.; The recovery of the spatial behavior of historical storms is possible.;http://jhydro.iwaponline.com/content/25/6/2354barnesdata assimilationidwinterpolationrainfall estimation |
| spellingShingle | Maria Asucena Rodriguez-Ramirez Óscar Arturo Fuentes-Mariles Daily rainfall assimilation based on satellite and weather radar precipitation products along with rain gauge networks Journal of Hydroinformatics barnes data assimilation idw interpolation rainfall estimation |
| title | Daily rainfall assimilation based on satellite and weather radar precipitation products along with rain gauge networks |
| title_full | Daily rainfall assimilation based on satellite and weather radar precipitation products along with rain gauge networks |
| title_fullStr | Daily rainfall assimilation based on satellite and weather radar precipitation products along with rain gauge networks |
| title_full_unstemmed | Daily rainfall assimilation based on satellite and weather radar precipitation products along with rain gauge networks |
| title_short | Daily rainfall assimilation based on satellite and weather radar precipitation products along with rain gauge networks |
| title_sort | daily rainfall assimilation based on satellite and weather radar precipitation products along with rain gauge networks |
| topic | barnes data assimilation idw interpolation rainfall estimation |
| url | http://jhydro.iwaponline.com/content/25/6/2354 |
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