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Kazumasa Aonashi, Kozo Okamoto, Tomoko Tashima, Takuji Kubota, and Kosuke Ito

proposed by AE , when we construct operational data assimilation systems. 2) Future directions In the present study, we applied the DuNE method to a selection of precipitation disturbance cases, in order to check its performance. So far, the results seem to be very encouraging. We executed observing system simulation experiments (OSSEs) to incorporate MWI TBs into the EnVar using the DuNE method ( Aonashi et al. 2014 ). Based on the OSSE results, we are also planning to conduct future assimilation

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Takuya Kawabata, Hironori Iwai, Hiromu Seko, Yoshinori Shoji, Kazuo Saito, Shoken Ishii, and Kohei Mizutani

forecasting. Airborne DWLs have been used in some field campaigns. For instance, Weissmann et al. (2012) showed that assimilating airborne DWL observations from The Observing System Research and Predictability Experiment (THORPEX) Pacific Asian Regional Campaign project into a global model had positive impacts on a forecast of typhoon and atmospheric conditions. The first space-based DWL is planned to be deployed on the Atmospheric Dynamics Mission Aeolus instrument (ADM-Aeolus) by the European Space

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Andrew C. Lorenc, Neill E. Bowler, Adam M. Clayton, Stephen R. Pring, and David Fairbairn

to ours are Wang and Lei (2014) and Kleist and Ide (2015b) , who compared 4DEnVar with 3DEnVar. Our initial plan was for trials of the hybrid-4DEnVar system with as many settings as possible based on those of the operational hybrid-4DVar ( Clayton et al. 2013 ); these showed that although hybrid-4DEnVar performed quite well, improving on the hybrid-3DEnVar method used for example by Hamill and Snyder (2000) and Wang et al. (2013) , it did not make as big an improvement as that shown by

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María E. Dillon, Yanina García Skabar, Juan Ruiz, Eugenia Kalnay, Estela A. Collini, Pablo Echevarría, Marcos Saucedo, Takemasa Miyoshi, and Masaru Kunii

) . At this stage, we are using a relatively coarse resolution in order to test the system, while as a next step we plan to use a higher-resolution model where local observations such as radar data could also be included. The RNWP system that we are testing here will also provide evolving ensemble boundary conditions for a nested higher-resolution DAS. The main purpose of this work is to compare two possible implementations of the regional data assimilation system based on the single-model and

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James A. Cummings and Ole Martin Smedstad

the GODAE ( Bell et al. 2009 ), to assess data impacts in operational global ocean forecasting systems. Comparison of data impact results from multiple systems will allow for a better assessment of the global ocean observing system in terms of which observations are best and defining locations where forecast errors are sensitive to the initial conditions. The adjoint-based data impact system developed for global HYCOM and described here will contribute to the planned GOV data impact experiments

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Jean-François Caron, Thomas Milewski, Mark Buehner, Luc Fillion, Mateusz Reszka, Stephen Macpherson, and Judy St-James

operational equivalent to the global EnKF at the regional scale at EC. However, significant efforts have recently been devoted at EC to developing limited-area EnKF systems (e.g., Chang et al. 2014 ) and a North American continental-scale configuration is currently being tested for an operational implementation in the near future (see Baek et al. 2014 ). There are also plans to increase the horizontal resolution of the forecast model in the RDPS to a convection-permitting scale (i.e., with a grid

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Norihisa Usui, Yosuke Fujii, Kei Sakamoto, and Masafumi Kamachi

coastal regions more than 80% of the total SLA variance is explained by variations in SDH. We also have a plan to improve the assimilation scheme for SLAs by removing mass-related signals from SLA observations ( Kuragano et al. 2014 ). The analysis increment, , is calculated by where is the first guess; is a diagonal matrix whose diagonal elements are composed of standard deviation of the background field; is a matrix composed of dominant T – S EOF modes; is a diagonal matrix whose diagonal

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