From TRMM to GPM: How well can heavy rainfall be detected from space?

被引：218

作者：

Prakash, Satya ^{[1
,2
]}

Mitra, Ashis K. ^{[1
]}

Pai, D. S. ^{[3
]}

AghaKouchak, Amir ^{[4
]}

机构：

[1] Minist Earth Sci, Earth Syst Sci Org, Natl Ctr Medium Range Weather Forecasting, Noida, India

[2] CUNY, New York City Coll Technol, Brooklyn, NY 11210 USA

[3] Indian Meteorol Dept, Pune, Maharashtra, India

[4] Univ Calif Irvine, Dept Civil & Environm Engn, Ctr Hydrometeorol & Remote Sensing, Irvine, CA USA

来源：

ADVANCES IN WATER RESOURCES | 2016年 / 88卷

关键词：

Global precipitation measurement mission; Tropical Rainfall Measuring Mission; Multi-satellite precipitation estimates; Heavy rainfall; PRECIPITATION ESTIMATION; PASSIVE-MICROWAVE; PRODUCTS; FLOOD; MODEL; INDIA; EVENTS; TMPA;

D O I：

10.1016/j.advwatres.2015.11.008

中图分类号：

TV21 [水资源调查与水利规划];

学科分类号：

081501 ;

摘要：

In this study, we investigate the capabilities of the Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) and the recently released Integrated Multi-satellitE Retrievals for GPM (IMERG) in detecting and estimating heavy rainfall across India. First, the study analyzes TMPA data products over a 17-year period (1998-2014). While TMPA and reference gauge-based observations show similar mean monthly variations of conditional heavy rainfall events, the multi-satellite product systematically overestimates its inter-annual variations. Categorical as well as volumetric skill scores reveal that TMPA over-detects heavy rainfall events (above 75th percentile of reference data), but it shows reasonable performance in capturing the volume of heavy rain across the country. An initial assessment of the GPM-based multi-satellite IMERG precipitation estimates for the southwest monsoon season shows notable improvements over TMPA in capturing heavy rainfall over India. The recently released IMERG shows promising results to help improve modeling of hydrological extremes (e.g., floods and landslides) using satellite observations. (C) 2015 Elsevier Ltd. All rights reserved.

引用

页码：1 / 7

页数：7

共 39 条

[1] Extended contingency table: Performance metrics for satellite observations and climate model simulations [J].

AghaKouchak, A. ;

Mehran, A. .

WATER RESOURCES RESEARCH, 2013, 49 (10) :7144-7149

[2] Evaluation of satellite-retrieved extreme precipitation rates across the central United States [J].

AghaKouchak, A. ;

Behrangi, A. ;

Sorooshian, S. ;

Hsu, K. ;

Amitai, E. .

JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2011, 116

[3] Systematic and random error components in satellite precipitation data sets [J].

AghaKouchak, Amir ;

Mehran, Ali ;

Norouzi, Hamidreza ;

Behrangi, Ali .

GEOPHYSICAL RESEARCH LETTERS, 2012, 39

[4] Benchmarking High-Resolution Global Satellite Rainfall Products to Radar and Rain-Gauge Rainfall Estimates [J].

Anagnostou, Emmanouil N. ;

Maggioni, Viviana ;

Nikolopoulos, Efthymios I. ;

Meskele, Tadesse ;

Hossain, Faisal ;

Papadopoulos, Anastasios .

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2010, 48 (04) :1667-1683

[5]

[Anonymous], INT J CLIMATOL

[6]

[Anonymous], 2015, METEOROL APPL, DOI DOI 10.1002/met.1502

[7] Hydrologic evaluation of satellite precipitation products over a mid-size basin [J].

Behrangi, Ali ;

Khakbaz, Behnaz ;

Jaw, Tsou Chun ;

AghaKouchak, Amir ;

Hsu, Kuolin ;

Sorooshian, Soroosh .

JOURNAL OF HYDROLOGY, 2011, 397 (3-4) :225-237

[8] Extremal Dependence Indices: Improved Verification Measures for Deterministic Forecasts of Rare Binary Events [J].

Ferro, Christopher A. T. ;

Stephenson, David B. .

WEATHER AND FORECASTING, 2011, 26 (05) :699-713

[9] Lack of uniform trends but increasing spatial variability in observed Indian rainfall extremes [J].

Ghosh, Subimal ;

Das, Debasish ;

Kao, Shih-Chieh ;

Ganguly, Auroop R. .

NATURE CLIMATE CHANGE, 2012, 2 (02) :86-91

[10] Impact of climate change on extreme rainfall events and flood risk in India [J].

Guhathakurta, P. ;

Sreejith, O. P. ;

Menon, P. A. .

JOURNAL OF EARTH SYSTEM SCIENCE, 2011, 120 (03) :359-373

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