A near real-time satellite-based global drought climate data record
Reliable drought monitoring requires long-term and continuous precipitation data. High resolution satellite measurements provide valuable precipitation information on a quasi-global scale. However, their short lengths of records limit their applications in drought monitoring. In addition to this lim...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing
2012-01-01
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| Series: | Environmental Research Letters |
| Subjects: | |
| Online Access: | https://doi.org/10.1088/1748-9326/7/4/044037 |
| _version_ | 1797748437266989056 |
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| author | Amir AghaKouchak Navid Nakhjiri |
| author_facet | Amir AghaKouchak Navid Nakhjiri |
| author_sort | Amir AghaKouchak |
| collection | DOAJ |
| description | Reliable drought monitoring requires long-term and continuous precipitation data. High resolution satellite measurements provide valuable precipitation information on a quasi-global scale. However, their short lengths of records limit their applications in drought monitoring. In addition to this limitation, long-term low resolution satellite-based gauge-adjusted data sets such as the Global Precipitation Climatology Project (GPCP) one are not available in near real-time form for timely drought monitoring. This study bridges the gap between low resolution long-term satellite gauge-adjusted data and the emerging high resolution satellite precipitation data sets to create a long-term climate data record of droughts. To accomplish this, a Bayesian correction algorithm is used to combine GPCP data with real-time satellite precipitation data sets for drought monitoring and analysis. The results showed that the combined data sets after the Bayesian correction were a significant improvement compared to the uncorrected data. Furthermore, several recent major droughts such as the 2011 Texas, 2010 Amazon and 2010 Horn of Africa droughts were detected in the combined real-time and long-term satellite observations. This highlights the potential application of satellite precipitation data for regional to global drought monitoring. The final product is a real-time data-driven satellite-based standardized precipitation index that can be used for drought monitoring especially over remote and/or ungauged regions. |
| first_indexed | 2024-03-12T16:04:44Z |
| format | Article |
| id | doaj.art-918b2e7da8ef40bf81621ee4efbe0234 |
| institution | Directory Open Access Journal |
| issn | 1748-9326 |
| language | English |
| last_indexed | 2024-03-12T16:04:44Z |
| publishDate | 2012-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | Environmental Research Letters |
| spelling | doaj.art-918b2e7da8ef40bf81621ee4efbe02342023-08-09T14:24:37ZengIOP PublishingEnvironmental Research Letters1748-93262012-01-017404403710.1088/1748-9326/7/4/044037A near real-time satellite-based global drought climate data recordAmir AghaKouchak0Navid Nakhjiri1University of California Irvine , E4130 Engineering Gateway Irvine, CA 92697, USAUniversity of California Irvine , E4130 Engineering Gateway Irvine, CA 92697, USAReliable drought monitoring requires long-term and continuous precipitation data. High resolution satellite measurements provide valuable precipitation information on a quasi-global scale. However, their short lengths of records limit their applications in drought monitoring. In addition to this limitation, long-term low resolution satellite-based gauge-adjusted data sets such as the Global Precipitation Climatology Project (GPCP) one are not available in near real-time form for timely drought monitoring. This study bridges the gap between low resolution long-term satellite gauge-adjusted data and the emerging high resolution satellite precipitation data sets to create a long-term climate data record of droughts. To accomplish this, a Bayesian correction algorithm is used to combine GPCP data with real-time satellite precipitation data sets for drought monitoring and analysis. The results showed that the combined data sets after the Bayesian correction were a significant improvement compared to the uncorrected data. Furthermore, several recent major droughts such as the 2011 Texas, 2010 Amazon and 2010 Horn of Africa droughts were detected in the combined real-time and long-term satellite observations. This highlights the potential application of satellite precipitation data for regional to global drought monitoring. The final product is a real-time data-driven satellite-based standardized precipitation index that can be used for drought monitoring especially over remote and/or ungauged regions.https://doi.org/10.1088/1748-9326/7/4/044037droughtsatellite dataprecipitation |
| spellingShingle | Amir AghaKouchak Navid Nakhjiri A near real-time satellite-based global drought climate data record Environmental Research Letters drought satellite data precipitation |
| title | A near real-time satellite-based global drought climate data record |
| title_full | A near real-time satellite-based global drought climate data record |
| title_fullStr | A near real-time satellite-based global drought climate data record |
| title_full_unstemmed | A near real-time satellite-based global drought climate data record |
| title_short | A near real-time satellite-based global drought climate data record |
| title_sort | near real time satellite based global drought climate data record |
| topic | drought satellite data precipitation |
| url | https://doi.org/10.1088/1748-9326/7/4/044037 |
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