干旱区生态环境知识资源中心(Arid): An evaluative study of TRMM precipitation estimates over multi-day scales in a semi-arid region, Iran

Arid

DOI	10.1080/01431161.2018.1562258
	An evaluative study of TRMM precipitation estimates over multi-day scales in a semi-arid region, Iran
	Mahbod, Mehdi 1; Veronesi, Fabio 2; Shirvani, Amin 3
通讯作者	Mahbod, Mehdi
来源期刊	INTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN	0143-1161
EISSN	1366-5901
出版年	2019
卷号	40 期号:11 页码:4143-4174
英文摘要	Data from the Tropical Rainfall Measuring Mission (TRMM) rainfall estimations have been evaluated at different time scales in the previous research, in particular, sub-daily, monthly, seasonally and annually. However, in arid and semi-arid regions water balance may be reached several days after a rainfall event. Hence, it becomes of crucial importance to investigate sub-monthly time periods (i.e. multi-day periods). For this reason, TRMM precipitation data version 3B42 (3B42) were evaluated and calibrated for 1, 2, 3, 5, 7, 10, 15, 20days and monthly time scales using rain gauges data in Fars province, Islamic Republic of Iran, 1 January 2000 to 31 December 2014. Pearson's correlation coefficient (r), Root Mean Square Error (RMSE), Normalized Root Mean Square Error (NRMSE), Mean Bias (MB), Prediction of Detection (POD), False Alarm Ratio (FAR) and Critical Success Index (CSI) were used for the purpose of evaluation. The results showed that with a logarithmic trend, r, NRMSE, and FAR values decreased while RMSE, CSI, and POD values increased with increasing time scales. Moreover, the spatial average MB was almost constant for various time scales, although the percentage of grid cells with over-estimated rainfall increased from 1 day to 1month. By fitting logarithmic functions over the values of r, RMSE, NRMSE, POD, FAR, and CSI at 1, 10days, and monthly time scales, the corresponding values of these measures were predicted for other time scales with the relative error (NRMSE) of less than 0.1, which indicates the accurate performance of these functions. Through linear regression analysis, the slope (M) and interception (B) of the equations for calibrating 3B42 precipitation estimates at various time scales were obtained. Furthermore, the results showed that the obtained values of M and B in 1, 10days, and monthly time scales can be estimated with a high accuracy at 2, 3, 5, 7, 15, and 20days.
类型	Article
语种	英语
国家	Iran ; England
收录类别	SCI-E
WOS记录号	WOS:000465245700004
WOS关键词	SATELLITE RAINFALL PRODUCTS ; PASSIVE MICROWAVE ; CLIMATE FORECAST ; ANALYSIS TMPA ; RIVER-BASIN ; GAUGE DATA ; VALIDATION ; MODEL ; VARIABILITY ; SIMULATION
WOS类目	Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/216499
作者单位	1.Jahrom Univ, Dept Water Sci & Engn, Coll Agr, Jahrom 7413188941, Fars, Iran; 2.Harper Adams Univ, Crop & Environm Sci Dept, Newport, Shrops, England; 3.Shiraz Univ, Coll Agr, Ocean & Atmospher Res Ctr, Dept Water Engn, Shiraz, Iran
推荐引用方式 GB/T 7714	Mahbod, Mehdi,Veronesi, Fabio,Shirvani, Amin. An evaluative study of TRMM precipitation estimates over multi-day scales in a semi-arid region, Iran[J],2019,40(11):4143-4174.
APA	Mahbod, Mehdi,Veronesi, Fabio,&Shirvani, Amin.(2019).An evaluative study of TRMM precipitation estimates over multi-day scales in a semi-arid region, Iran.INTERNATIONAL JOURNAL OF REMOTE SENSING,40(11),4143-4174.
MLA	Mahbod, Mehdi,et al."An evaluative study of TRMM precipitation estimates over multi-day scales in a semi-arid region, Iran".INTERNATIONAL JOURNAL OF REMOTE SENSING 40.11(2019):4143-4174.