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Evaluation of Spatial Rainfall Products in Sparsely Gauged Region Using Copula Uncertainty Modeling with Triple Collocation
This study presents a topography-dependent error adjustment technique for observed spatial rainfall estimate (OSRE) with the application of a multivariate t-copula model in a sparsely gauged region in Bangladesh. Multiple satellite precipitation products, including TRMM-3B42v7, TRMM-3B42RT, IMERG-Daily (Final run), PERSIANN-CCS, and PERSIANN-CDR, and reanalysis products, including MERRA-2, ERA-Interim, and JRA55, were tested to remove the topography-dependent errors in OSREs. The Triple Collocation (TC) method was employed as an alternative evaluation method of OSRE in the absence of adequate rain gauges. To address topography-dependent errors, the error adjustment model was separately run over the mountainous and plain zones. After bias correction, the correlation coefficient (CC) values were improved by 17.39%–38.6% for the mountainous region and 23.69%–47.83% for the plain basin. Based on categorical and volumetric performance evaluation matrices, the satellite product IMERG-Daily performed more reasonably than any other OSREs in both the plain and mountainous zones. CC values obtained for IMERG-Daily were high, whereas PERSIANN products exhibited low CC values within the observed datasets. Among the reanalysis products, JRA55 performed poorly, whereas ERA-Interim showed satisfactory results. All reanalysis and precipitation products except for TRMM-3B42v7 provided significant random errors in the coastal area and mountainous basin relative to the plain zone. The TC method provides a similar performance ranking to traditional methods, that is, comparing OSRE with rain gauges. This study works to fill the existing knowledge gap by developing a zone-wise copula uncertainty model for multisource satellite and reanalysis precipitation products. An evaluation technique in a sparsely gauged region using the TC method was adopted to measure OSREs’ performance in the absence of gauge rainfall data.
Evaluation of Spatial Rainfall Products in Sparsely Gauged Region Using Copula Uncertainty Modeling with Triple Collocation
This study presents a topography-dependent error adjustment technique for observed spatial rainfall estimate (OSRE) with the application of a multivariate t-copula model in a sparsely gauged region in Bangladesh. Multiple satellite precipitation products, including TRMM-3B42v7, TRMM-3B42RT, IMERG-Daily (Final run), PERSIANN-CCS, and PERSIANN-CDR, and reanalysis products, including MERRA-2, ERA-Interim, and JRA55, were tested to remove the topography-dependent errors in OSREs. The Triple Collocation (TC) method was employed as an alternative evaluation method of OSRE in the absence of adequate rain gauges. To address topography-dependent errors, the error adjustment model was separately run over the mountainous and plain zones. After bias correction, the correlation coefficient (CC) values were improved by 17.39%–38.6% for the mountainous region and 23.69%–47.83% for the plain basin. Based on categorical and volumetric performance evaluation matrices, the satellite product IMERG-Daily performed more reasonably than any other OSREs in both the plain and mountainous zones. CC values obtained for IMERG-Daily were high, whereas PERSIANN products exhibited low CC values within the observed datasets. Among the reanalysis products, JRA55 performed poorly, whereas ERA-Interim showed satisfactory results. All reanalysis and precipitation products except for TRMM-3B42v7 provided significant random errors in the coastal area and mountainous basin relative to the plain zone. The TC method provides a similar performance ranking to traditional methods, that is, comparing OSRE with rain gauges. This study works to fill the existing knowledge gap by developing a zone-wise copula uncertainty model for multisource satellite and reanalysis precipitation products. An evaluation technique in a sparsely gauged region using the TC method was adopted to measure OSREs’ performance in the absence of gauge rainfall data.
Evaluation of Spatial Rainfall Products in Sparsely Gauged Region Using Copula Uncertainty Modeling with Triple Collocation
Tanim, Ahad Hasan (author) / Mullick, Md. Reaz Akter (author) / Sikdar, Md. Soumik (author)
2021-01-20
Article (Journal)
Electronic Resource
Unknown
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