The PERSIANN family of global satellite precipitation data: a review and evaluation of products
Autor: | Andrea Thorstensen, Hamed Ashouri, Dan Braithwaite, Mohammed Ombadi, Amir AghaKouchak, Soroosh Sorooshian, Phu Nguyen, Kuolin Hsu |
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Rok vydání: | 2018 |
Předmět: |
010504 meteorology & atmospheric sciences
Computer science 0208 environmental biotechnology 0211 other engineering and technologies 02 engineering and technology lcsh:Technology 01 natural sciences lcsh:TD1-1066 Benchmark (surveying) lcsh:Environmental technology. Sanitary engineering Baseline (configuration management) Temporal scales lcsh:Environmental sciences Retrieval algorithm 021101 geological & geomatics engineering 0105 earth and related environmental sciences Remote sensing lcsh:GE1-350 lcsh:T lcsh:Geography. Anthropology. Recreation Satellite precipitation 020801 environmental engineering lcsh:G 13. Climate action PERSIANN Scale (map) |
Zdroj: | Hydrology and Earth System Sciences, Vol 22, Pp 5801-5816 (2018) |
ISSN: | 1607-7938 |
Popis: | Over the past 2 decades, a wide range of studies have incorporated Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN) products. Currently, PERSIANN offers several precipitation products based on different algorithms available at various spatial and temporal scales, namely PERSIANN, PERSIANN-CCS, and PERSIANN-CDR. The goal of this article is to first provide an overview of the available PERSIANN precipitation retrieval algorithms and their differences. Secondly, we offer an evaluation of the available operational products over the contiguous US (CONUS) at different spatial and temporal scales using Climate Prediction Center (CPC) unified gauge-based analysis as a benchmark. Due to limitations of the baseline dataset (CPC), daily scale is the finest temporal scale used for the evaluation over CONUS. Additionally, we provide a comparison of the available products at a quasi-global scale. Finally, we highlight the strengths and limitations of the PERSIANN products and briefly discuss expected future developments. |
Databáze: | OpenAIRE |
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