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| 1 | Regional four-dimensional variational data assimilation in a quasi-operational forcasting environment显示文摘 | Milija Z | 1993 | Mon Wea Rev1993，121，8： | 1 |
| 2 | Clinical manifestations, diagnostic criteria and therapy of Hashimoto’s encephalopathy: Report of two cases显示文摘 | Milija Mijajlovic Mihailo Mirkovic Jelena Dackovic Jasna Zidverc-Trajkovic Nadezda Sternic | 2009 | Journal of the Neurological Sciences2009，，1： | 1 |
| 3 | As- similation of precipitation-affected radiances in a cloud-resolving WRF ensemble data assimilation system显示文摘 | Zhang S Q Milija Z Arthur Y H | 2013 | Monthly Weather Review2013，141，2： | 1 |
| 4 | Regional four-dimensional variational data assimilation in a quasi-operational forecasting environment显示文摘 | MILIJA Zupanski | 1993 | Monthly Weather Review1993，121，8： | 1 |
| 5 | Toxicity of metalaxyl, azoxystrobin, dimethomorph, cymoxanil, zoxamide and mancozeb to Phytophthora infestans isolates from Serbia显示文摘 | Emil Rekanovi? Ivana Poto?nik Svetlana Milija?evi?-Mar?i? Milo? Stepanovi? Biljana Todorovi? Milica Mihajlovi? | 2012 | Journal of Environmental Science and Health Part B2012，，5： | 1 |
| 6 | Clinical manifestations,diagnostic criteria and therapy of Hashimoto's encephalopathy:Report of two cases显示文摘 | Milija Mijajlovic Mihailo Mirkovic Jelena Dackovic | 2010 | J Neurol Sci2010，288，： | 1 |
| 7 | Coupled data assimilation in climate research: A brief review of applications in ocean and land显示文摘Regions of the cryosphere, including the poles, that are currently unmonitored are expanding, therefore increasing the importance of satellite observations for such regions. With the increasing availability of satellite data in recent years, data assimilation research that combines forecasting models with observational data has begun to flourish. Coupled land/ice-atmosphere/ocean models generally improve the forecasting ability of models. Data assimilation plays an important role in such coupled models, by providing initial conditions and/or empirical parameter estimation. Coupled data assimilation can generally be divided into three types: uncoupled, weakly coupled, or strongly coupled. This review provides an overview of coupled data assimilation, introduces examples of its use in research on sea ice-ocean interactions and the land, and discusses its future outlook. Assimilation of coupled data constitutes an effective method for monitoring cold regions for which observational data are scarce and should prove useful for climate change research and the design of efficient monitoring networks in the future. | Kazuyoshi Suzuki Milija Zupanski | 2018 | Satellite Oceanography and Meteorology2018，3，2： | 0 |
| 8 | Uncertainty in solid precipitation and snow depth prediction for Siberia using the Noah and Noah-MP land surface models显示文摘In this study,we investigate the uncertainties associated with land surface processes in an ensemble predication context.Specifically,we compare the uncer- tainties produced by a coupled atmosphere-land modeling system with two different land surface models,the Noah- MP land surface model (LSM)and the Noah LSM,by using the Maximum Likelihood Ensemble Filter (MLEF) data assimilation system as a platform for ensemble prediction.We carded out 24-hour prediction simulations in Siberia with 32 ensemble members beginning at 00:00 UTC on 5 March 2013.We then compared the model prediction uncertainty of snow depth and solid precipita- tion with observation-based research products and eval- uated the standard deviation of the ensemble spread.The prediction skill and ensemble spread exhibited high positive correlation for both LSMs,indicating a realistic uncertainty estimation.The inclusion of a multiple snow- layer model in the Noah-MP LSM was beneficial for reducing the uncertainties of snow depth and snow depth change compared to the Noah LSM,but the uncertainty in daily solid precipitation showed minimal difference between the two LSMs.The impact of LSM choice in reducing temperature uncertainty was limited to surface layers of the atmosphere.In summary,we found that the more sophisticated Noah-MP LSM reduces uncertainties associated with land surface processes compared to the Noah LSM.Thus,using prediction models with improved skill implies improved predictability and greater certainty of prediction. | Kazuyoshi SUZUKI Milija ZUPANSKI | 2018 | Frontiers of Earth Science2018，12，4： | 0 |
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