Next Article in Journal
Acknowledgement to Reviewers of Climate in 2016
Next Article in Special Issue
Application of Satellite-Based Precipitation Estimates to Rainfall-Runoff Modelling in a Data-Scarce Semi-Arid Catchment
Previous Article in Journal / Special Issue
Evaluation of TRMM 3B42 V7 Rainfall Product over the Oum Er Rbia Watershed in Morocco
Article Menu
Issue 1 (March) cover image

Export Article

Open AccessArticle
Climate 2017, 5(1), 2;

Performance Assessment of Multi-Source Weighted-Ensemble Precipitation (MSWEP) Product over India

Department of Civil Engineering, Indian Institute of Technology Bombay, Mumbai 400076, India
Author to whom correspondence should be addressed.
Academic Editor: Zhong Liu
Received: 18 October 2016 / Revised: 20 December 2016 / Accepted: 4 January 2017 / Published: 11 January 2017
Full-Text   |   PDF [27827 KB, uploaded 11 January 2017]   |  


Error characterization is vital for the advancement of precipitation algorithms, the evaluation of numerical model outputs, and their integration in various hydro-meteorological applications. The Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) has been a benchmark for successive Global Precipitation Measurement (GPM) based products. This has given way to the evolution of many multi-satellite precipitation products. This study evaluates the performance of the newly released multi-satellite Multi-Source Weighted-Ensemble Precipitation (MSWEP) product, whose temporal variability was determined based on several data products including TMPA 3B42 RT. The evaluation was conducted over India with respect to the IMD-gauge-based rainfall for pre-monsoon, monsoon, and post monsoon seasons at daily scale for a 35-year (1979–2013) period. The rainfall climatology is examined over India and over four geographical extents within India known to be subject to uniform rainfall. The performance evaluation of rainfall time series was carried out. In addition to this, the performance of the product over different rainfall classes was evaluated along with the contribution of each class to the total rainfall. Further, seasonal evaluation of the MSWEP products was based on the categorical and volumetric indices from the contingency table. Upon evaluation it was observed that the MSWEP products show large errors in detecting the higher quantiles of rainfall (>75th and > 95th quantiles). The MSWEP precipitation product available at a 0.25° × 0.25° spatial resolution and daily temporal resolution matched well with the daily IMD rainfall over India. Overall results suggest that a suitable region and season-dependent bias correction is essential before its integration in hydrological applications. While the MSWEP was observed to perform well for daily rainfall, it suffered from poor detection capabilities for higher quantiles, making it unsuitable for the study of extremes. View Full-Text
Keywords: TMPA; MSWEP; contingency matrix; rainfall; climatology TMPA; MSWEP; contingency matrix; rainfall; climatology

Graphical abstract

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Nair, A.S.; Indu, J. Performance Assessment of Multi-Source Weighted-Ensemble Precipitation (MSWEP) Product over India. Climate 2017, 5, 2.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Climate EISSN 2225-1154 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top