DOI: 10.5194/hess-21-6117-2017
Scopus记录号: 2-s2.0-85037027414
论文题名: Does the GPM mission improve the systematic error component in satellite rainfall estimates over TRMM? An evaluation at a pan-India scale
作者: Beria H ; , Nanda T ; , Bisht D ; S ; , Chatterjee C
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2017
卷: 21, 期: 12 起始页码: 6117
结束页码: 6134
语种: 英语
Scopus关键词: Climatology
; Errors
; Precipitation (meteorology)
; Rain gages
; Runoff
; Satellites
; Topography
; Global precipitation measurements
; Hydrologic applications
; Precipitation products
; Rainfall estimations
; Rainfall-runoff modeling
; Spatio-temporal resolution
; Tropical rainfall measuring missions
; Variable infiltration capacity models
; Rain
; error analysis
; estimation method
; hydrological modeling
; precipitation intensity
; rainfall
; rainfall-runoff modeling
; satellite altimetry
; satellite mission
; semiarid region
; spectral resolution
; TRMM
; India
英文摘要: The last couple of decades have seen the outburst of a number of satellite-based precipitation products with Tropical Rainfall Measuring Mission (TRMM) as the most widely used for hydrologic applications. Transition of TRMM into the Global Precipitation Measurement (GPM) promises enhanced spatio-temporal resolution along with upgrades to sensors and rainfall estimation techniques. The dependence of systematic error components in rainfall estimates of the Integrated Multi-satellitE Retrievals for GPM (IMERG), and their variation with climatology and topography, was evaluated over 86 basins in India for year 2014 and compared with the corresponding (2014) and retrospective (1998-2013) TRMM estimates. IMERG outperformed TRMM for all rainfall intensities across a majority of Indian basins, with significant improvement in low rainfall estimates showing smaller negative biases in 75 out of 86 basins. Low rainfall estimates in TRMM showed a systematic dependence on basin climatology, with significant overprediction in semi-arid basins, which gradually improved in the higher rainfall basins. Medium and high rainfall estimates of TRMM exhibited a strong dependence on basin topography, with declining skill in higher elevation basins. The systematic dependence of error components on basin climatology and topography was reduced in IMERG, especially in terms of topography. Rainfall-runoff modeling using the Variable Infiltration Capacity (VIC) model over two flood-prone basins (Mahanadi and Wainganga) revealed that improvement in rainfall estimates in IMERG did not translate into improvement in runoff simulations. More studies are required over basins in different hydroclimatic zones to evaluate the hydrologic significance of IMERG. © Author(s) 2017. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78976
Appears in Collections: 气候变化事实与影响
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作者单位: Institute of Earth Surface Dynamics, University of Lausanne, Lausanne, Switzerland; Agricultural and Food Engineering Department, Indian Institute of Technology Kharagpur, Kharagpur, India
Recommended Citation:
Beria H,, Nanda T,, Bisht D,et al. Does the GPM mission improve the systematic error component in satellite rainfall estimates over TRMM? An evaluation at a pan-India scale[J]. Hydrology and Earth System Sciences,2017-01-01,21(12)