Evaluation and spatial downscaling of CRU TS precipitation data in the Philippines
| Autor: | Ronaldo B. Saludes, Pompe C. Sta. Cruz, Arnold R. Salvacion, Damasa B. Magcale-Macandog, Ireneo B. Pangga, Christian Joseph R. Cumagun |
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| Rok vydání: | 2018 |
| Předmět: |
010504 meteorology & atmospheric sciences
Mean squared error 0208 environmental biotechnology Mean absolute error Cru 02 engineering and technology 01 natural sciences 020801 environmental engineering Delta method Climate research unit Climatology Environmental science Precipitation Computers in Earth Sciences Statistics Probability and Uncertainty General Agricultural and Biological Sciences 0105 earth and related environmental sciences General Environmental Science Downscaling |
| Zdroj: | Modeling Earth Systems and Environment. 4:891-898 |
| ISSN: | 2363-6211 2363-6203 |
| Popis: | This study evaluated and downscaled (using Delta Method) Climate Research Unit time series (CRU TS) monthly precipitation gridded data in the Philippines. Based on the results, raw CRU TS data tends to underestimate (average percent bias = 0.89%) precipitation for most months of the year while downscaled CRU TS showed the opposite (average percent bias = − 2.99%). Overall both raw and downscaled CRU showed acceptable performance when compared with the observed monthly precipitation record. However, downscaled CRU TS data showed better accuracy (lower Mean Absolute Error and Root Mean Squared Error) and better performance (higher Nash–Sutcliffe Efficiency) compared with the raw CRU TS data. On the average, the computed evaluation statistics for downscaled CRU TS data were 79.87 (MAE), 144.56 (RMSE), and 0.43 (NSE) while 87.82 (MAE), 163.69 (RMSE), and 0.30 (NSE) for raw CRU TS. |
| Databáze: | OpenAIRE |
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