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Beata Latos, Thierry Lefort, Maria K. Flatau, Piotr J. Flatau, Donaldi S. Permana, Dariusz B. Baranowski, Jaka A. I. Paski, Erwin Makmur, Eko Sulystyo, Philippe Peyrillé, Zhe Feng, Adrian J. Matthews, and Jerome M. Schmidt

dataset (TRMM 3B42 v7) were utilized at their native spatial resolution of 0.25° for the same period as the OLR data. Additionally, Integrated Multisatellite Retrievals for Global Precipitation Mission (IMERG) Final Precipitation L3 V06 products ( Huffman et al. 2019 ) on a 0.1° × 0.1° latitude–longitude grid were used, daily and half-hourly for the 19–24 January 2019 period and half-hourly for 1 October 2013–30 June 2019. b. Reanalysis data European Centre for Medium-Range Weather Forecasts (ECMWF

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Anurag Dipankar, Stuart Webster, Xiang-Yu Huang, and Van Quang Doan

region running regional models for weather prediction using input conditions from the big centers like the European Centre for Medium-Range Weather Forecasts (ECMWF,) the Met Office (United Kingdom), and the National Oceanic and Atmospheric Administration (United States). A novelty of the current study is that it utilizes results from a convection-permitting state-of-the-art NWP model to highlight the biases in the input conditions from the high-resolution (9 km) deterministic forecast from ECMWF

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Ewan Short, Claire L. Vincent, and Todd P. Lane

Observation Portal , 2018b : MetOp (Meteorological Operational Satellite Program of Europe). Accessed 2 November 2018, https://directory.eoportal.org/web/eoportal/satellite-missions/m/metop . Gille , S. T. , S. G. Llewellyn Smith , and S. M. Lee , 2003 : Measuring the sea breeze from QuikSCAT scatterometry . Geophys. Res. Lett. , 30 , 1114 , https://doi.org/10.1029/2002GL016230 . 10.1029/2002GL016230 Gille , S. T. , S. G. Llewellyn Smith , and N. Statom , 2005 : Global observations

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