Spatiotemporal Assessment of Reanalysis and Remotely-Sensed Precipitation Datasets

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AZIZIAN A.; RAMEZANI ETEDALI H.

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Journal: IRAN-WATER RESOURCES RESEARCH Year:2019 | Volume:15 | Issue:1 Page(s): 163-177

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Title

Spatiotemporal Assessment of Reanalysis and Remotely-Sensed Precipitation Datasets

Author(s)

AZIZIAN A. | RAMEZANI ETEDALI H. | Issue Writer Certificate

Keywords

PrecipitationQ2

SefidRood CatchmentQ1

Reanalysis DatasetsQ1

Remote Sensing and Rainy DaysQ1

Abstract

Among the meteorological components Precipitation is one of the complicated issues in hydrological process, due to its considerable changes over time and space. By increasing application of satellite-based technologies over the past decades, it is now easy to access high resolution Precipitation products in most parts of the world. This research addressed the accuracy of European Center for Medium Range Weather Forecasts (ECMWF) Reanalysis Datasets for estimation of daily and monthly Precipitation over the SefidRood Catchment. Moreover, in order to better evaluating the performance of ECMWF dataset, the PERSIAN and TRMM datasets are also used. Findings on the daily time scale showed that the correlation coefficient between ground observation and ECMWF, PERSIAN and TRMM products was respectively about 0. 8, 0. 47 and 0. 32 and this proved the superiority of ECMWF for estimation of rainfall in daily time scale. On monthly time scale both ECMWF and PERSIAN products correlated very well with gauge measurements (CC statistic is more than 0. 9) but TRMM with the CC equal to 0. 57 correlated moderately with observations. According to the categorical verification statistics for SefidRood Catchment, ECMWF yields better results compared with other satellite data sets, for detection of Precipitation events on the basis of Probability of Detection (POD), Critical Success Index (CSI) and False Alarm Ratio (FAR). Therefore, in ungauged catchments or for hydrological modeling which requires an accurate Precipitation dataset, using ECMWF dataset is suggested.

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APA: Copy

AZIZIAN, A., & RAMEZANI ETEDALI, H.. (2019). Spatiotemporal Assessment of Reanalysis and Remotely-Sensed Precipitation Datasets. IRAN-WATER RESOURCES RESEARCH, 15(1 ), 163-177. SID. https://sid.ir/paper/100066/en

Vancouver: Copy

AZIZIAN A., RAMEZANI ETEDALI H.. Spatiotemporal Assessment of Reanalysis and Remotely-Sensed Precipitation Datasets. IRAN-WATER RESOURCES RESEARCH[Internet]. 2019;15(1 ):163-177. Available from: https://sid.ir/paper/100066/en

IEEE: Copy

A. AZIZIAN, and H. RAMEZANI ETEDALI, “Spatiotemporal Assessment of Reanalysis and Remotely-Sensed Precipitation Datasets,” IRAN-WATER RESOURCES RESEARCH, vol. 15, no. 1 , pp. 163–177, 2019, [Online]. Available: https://sid.ir/paper/100066/en

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