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  • Global Precipitation Measurement (GPM): Science and Applications x
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Jackson Tan, Walter A. Petersen, and Ali Tokay

accumulations over a large river basin. As such, for these applications, the random errors are likely to be lower. On the other hand, systematic errors are more pressing as they cannot be removed by statistical methods available to the user. The gauge adjustment, intended to rein in systematic errors, may not be sufficiently resolved to address biases at the pixel level, as it occurs at a monthly time scale over 1° grids. Given the varying performance of each platform, it may be worth investigating whether

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Kamil Mroz, Mario Montopoli, Alessandro Battaglia, Giulia Panegrossi, Pierre Kirstetter, and Luca Baldini

), moderate snow (MDS), low snow (LS), minimal snow (MNS), standing water and rivers (IW), water/land boundary (WLB), water/ice boundary (WIB), and land/ice boundary (LIB). (e),(f) Snow detection scores, i.e., the false alarms (FA), correct rejections (CR), hits (H), and missed detections (MD) over the points that satisfy all the criteria for the comparison. Faint colors indicate points that are further than 110 km from the MRMS radars and are not used in the statistical analysis. The magenta crosses show

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Jiaying Zhang, Liao-Fan Lin, and Rafael L. Bras

al. (2016) revealed that the IMERG product has more skill in representing daily precipitation than the post-real-time Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA-3B42) and the ERA-Interim product from the European Centre for Medium-Range Weather Forecasts (ECMWF) in Iran from March 2014 to February 2015. For the midlatitude region of the Ganjiang River basin in southeast China, Tang et al. (2016b) showed that the detection skill of the Day-1 IMERG

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Xinxuan Zhang and Emmanouil N. Anagnostou

monsoon is especially significant in the southeastern region, where approximately 90% of the annual precipitation occurs during the wet season (from May to October; Yu et al. 2006 ). The ground observations for this study area came from 40 rain gauges in the Tsengwen River basin, where the elevations vary from near sea level to 2540 m. There are 40% of the gauges located below 100-m elevation and 22% of them located above 1000 m. The rest of the gauges are located between 100- and 1000-m elevations

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Md. Abul Ehsan Bhuiyan, Efthymios I. Nikolopoulos, and Emmanouil N. Anagnostou

, 2017 : Statistical assessment and hydrological utility of the latest multi-satellite precipitation analysis IMERG in Ganjiang River basin . Atmos. Res. , 183 , 212 – 223 , https://doi.org/10.1016/j.atmosres.2016.07.020 . 10.1016/j.atmosres.2016.07.020 Liu , Z. J. , Y. S. Liu , S. S. Wang , X. J. Yang , L. C. Wang , M. H. A. Baig , W. F. Chi , and Z. S. Wang , 2018 : Evaluation of spatial and temporal performances of ERA-Interim precipitation and temperature in Mainland China . J

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M. Petracca, L. P. D’Adderio, F. Porcù, G. Vulpiani, S. Sebastianelli, and S. Puca

Measurement precipitation processing system: File specification 2ADPR. NASA/JAXA Tech. Rep., 127 pp., https://storm.pps.eosdis.nasa.gov/storm/data/docs/filespec.GPM.V1.2ADPR.pdf . Nash , J. E. , and J. V. Sutcliff , 1970 : River flow forecasting through conceptual models 1: A discussion of principles . J. Hydrol. , 10 , 282 – 290 , https://doi.org/10.1016/0022-1694(70)90255-6 . 10.1016/0022-1694(70)90255-6 Neeck , S. P. , R. K. Kakar , A. A. Azarbarzin , and A. Y. Hou , 2014 : Global

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