Institution
Korea Meteorological Administration
Government•Seoul, South Korea•
About: Korea Meteorological Administration is a government organization based out in Seoul, South Korea. It is known for research contribution in the topics: Precipitation & Tropical cyclone. The organization has 532 authors who have published 634 publications receiving 36037 citations.
Papers published on a yearly basis
Papers
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TL;DR: ERA-Interim as discussed by the authors is the latest global atmospheric reanalysis produced by the European Centre for Medium-Range Weather Forecasts (ECMWF), which will extend back to the early part of the twentieth century.
Abstract: ERA-Interim is the latest global atmospheric reanalysis produced by the European Centre for Medium-Range Weather Forecasts (ECMWF). The ERA-Interim project was conducted in part to prepare for a new atmospheric reanalysis to replace ERA-40, which will extend back to the early part of the twentieth century. This article describes the forecast model, data assimilation method, and input datasets used to produce ERA-Interim, and discusses the performance of the system. Special emphasis is placed on various difficulties encountered in the production of ERA-40, including the representation of the hydrological cycle, the quality of the stratospheric circulation, and the consistency in time of the reanalysed fields. We provide evidence for substantial improvements in each of these aspects. We also identify areas where further work is needed and describe opportunities and objectives for future reanalysis projects at ECMWF. Copyright © 2011 Royal Meteorological Society
22,055 citations
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Met Office1, Oak Ridge National Laboratory2, University of Reading3, June4, Korea Meteorological Administration5, University of Edinburgh6, Pierre-and-Marie-Curie University7, CSIRO Marine and Atmospheric Research8, Colorado State University9, University of Exeter10, University of Oxford11, University of Maryland, College Park12, Joint Global Change Research Institute13, Potsdam Institute for Climate Impact Research14, Max Planck Society15, University of Bristol16
TL;DR: In this paper, the authors outline the climate forcings and setup of the Met Office Hadley Centre ESM, HadGEM2-ES for the CMIP5 set of centennial experiments.
Abstract: . The scientific understanding of the Earth's climate system, including the central question of how the climate system is likely to respond to human-induced perturbations, is comprehensively captured in GCMs and Earth System Models (ESM). Diagnosing the simulated climate response, and comparing responses across different models, is crucially dependent on transparent assumptions of how the GCM/ESM has been driven – especially because the implementation can involve subjective decisions and may differ between modelling groups performing the same experiment. This paper outlines the climate forcings and setup of the Met Office Hadley Centre ESM, HadGEM2-ES for the CMIP5 set of centennial experiments. We document the prescribed greenhouse gas concentrations, aerosol precursors, stratospheric and tropospheric ozone assumptions, as well as implementation of land-use change and natural forcings for the HadGEM2-ES historical and future experiments following the Representative Concentration Pathways. In addition, we provide details of how HadGEM2-ES ensemble members were initialised from the control run and how the palaeoclimate and AMIP experiments, as well as the "emission-driven" RCP experiments were performed.
843 citations
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Seoul National University1, University of Hawaii2, Goddard Space Flight Center3, State University of New York System4, Geophysical Fluid Dynamics Laboratory5, National Center for Atmospheric Research6, Russian Academy of Sciences7, Indian Institute of Tropical Meteorology8, Korea Meteorological Administration9
TL;DR: In this article, the overall performance of state-of-the-art atmospheric GCMs in simulating the climatological variations of summer monsoon rainfall over the Asian-western Pacific region and the systematic errors that are common to a group of GCMs were assessed.
Abstract: We assesses the overall performance of state-of-the-art atmospheric GCMs in simulating the climatological variations of summer monsoon rainfall over the Asian-Western Pacific region and the systematic errors that are common to a group of GCMs. The GCM data utilized are obtained from 10 GCM groups participated in the CLIVAR/Monsoon GCM Intercomparison Project. The model composite shows that the overall spatial pattern of summer monsoon rainfall is similar to the observed, although the western Pacific rainfall is relatively weak. For the simulated precipitation over the western Pacific, the models can be classified into two categories. The first category of models simulates the precipitation more confined to the equatorial region and weaker precipitation in the subtropical western Pacific compared to the observed. The second category of models simulates large precipitation in the subtropical western Pacific but the region is shifted to the north by 5–10°. None of the models realistically reproduce the observed Mei-yu rain band in the region from the East China Sea to the mid Pacific. Most of the models produce a rain band along the continental side of East Asia. The climatological variations of simulated summer rainfall are examined in terms of their amplitude and their principal EOF modes. All models simulate larger amplitudes of the climatological seasonal variation of Indian summer monsoon than the observed, though most models simulate smaller amplitudes in the western Pacific. The ten model composite produces four leading EOF modes over the Asian-western Pacific region, which are remarkably similar to the observed counterparts. The first and second eigenmodes, respectively, represent the smoothed seasonal march of broad-scale monsoon and the onsets of the Indian and East Asian summer monsoon. The third and fourth modes relate to the climatological intraseasonal oscillation (CISO). In contrast to the model composite, several models fail to reproduce the first principal mode, and most models do not reproduce the observed modes higher than the second. The CISO of precipitation is also examined over the Indian monsoon and the East Asia-western Pacific monsoon regions separately.
418 citations
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TL;DR: The TIGGE project aims to facilitate closer cooperation between the academic and operational meteorological communities by expanding the availability of operational products for research and exploring the concept and benefits of multimodel probabilistic weather forecasts, with a particular focus on high-impact weather prediction.
Abstract: Ensemble forecasting is increasingly accepted as a powerful tool to improve early warnings for high-impact weather. Recently, ensembles combining forecasts from different systems have attracted a considerable level of interest. The Observing System Research and Predictability Experiment (THORPEX) Interactive Grand Globa l Ensemble (TIGGE) project, a prominent contribution to THORPEX, has been initiated to enable advanced research and demonstration of the multimodel ensemble concept and to pave the way toward operational implementation of such a system at the international level. The objectives of TIGGE are 1) to facilitate closer cooperation between the academic and operational meteorological communities by expanding the availability of operational products for research, and 2) to facilitate exploring the concept and benefits of multimodel probabilistic weather forecasts, with a particular focus on high-impact weather prediction. Ten operational weather forecasting centers producing daily global ensemble ...
380 citations
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TL;DR: The results provide weak evidence that the Asian dust events are associated with risk of death from all causes, but the association between the dust events and deaths from cardiovascular and respiratory causes was stronger and it suggests that persons with advanced cardiovascular and lungs disease may be susceptible to the Asiandust events.
327 citations
Authors
Showing all 538 results
Name | H-index | Papers | Citations |
---|---|---|---|
Seung-Ki Min | 35 | 137 | 5816 |
Jiyoung Kim | 30 | 237 | 3314 |
Ju-Young Shin | 28 | 271 | 2718 |
Won-Tae Kwon | 25 | 88 | 2222 |
Jinwon Kim | 25 | 114 | 2036 |
Eun-Soon Im | 23 | 69 | 1683 |
Hyun-Suk Kang | 22 | 79 | 1727 |
Jiyoung Kim | 21 | 29 | 2202 |
Jae-Jin Kim | 20 | 90 | 2465 |
Chang-Wook Lee | 20 | 95 | 1243 |
Chung-Kyu Park | 20 | 38 | 2566 |
So-Young Yim | 19 | 24 | 1438 |
Hyun Kyung Kim | 18 | 110 | 1282 |
Jai-Ho Oh | 18 | 83 | 1610 |
Sungwook Hong | 16 | 55 | 564 |