Results 21 to 30 of about 189,516 (253)
Ultra Rapid Data Assimilation Based on Ensemble Filters
Frontiers in Applied Mathematics and Statistics, 2018 The goal of this work is to analyse and study an ultra-rapid data assimilation (URDA) method for adapting a given ensemble forecast for some particular variable of a dynamical system to given observation data which become available after the standard ...
Roland Potthast +2 more
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Frontiers in Climate, 2021 It is now widely recognized that in order to reach the target of limiting global warming to well below 2°C above pre-industrial levels (as the objective of the Paris agreement), cutting the carbon emissions even at an unprecedented pace will not be ...
Momme Butenschön +4 more
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Monthly Weather Review, 2017 In light of growing interest in data-driven methods for oceanic, atmospheric, and climate sciences, this work focuses on the field of data assimilation and presents the analog data assimilation (AnDA). The proposed framework produces a reconstruction of the system dynamics in a fully data-driven manner where no explicit knowledge of the dynamical model
Lguensat, Redouane +4 more
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Data assimilation: The Schrödinger perspective [PDF]
Acta Numerica, 2019 Data assimilation addresses the general problem of how to combine model-based predictions with partial and noisy observations of the process in an optimal manner. This survey focuses on sequential data assimilation techniques using probabilistic particle-based algorithms.
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Sampling error of observation impact statistics [PDF]
Tellus: Series A, Dynamic Meteorology and Oceanography, 2014 An observation impact is an estimate of the forecast error reduction by assimilating observations with numerical model forecasts. This study compares the sampling errors of the observation impact statistics (OBIS) of July 2011 and January 2012 using two ...
Sung-Min Kim, Hyun Mee Kim
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Drivers and impact of the seasonal variability of the organic carbon offshore transport in the Canary upwelling system [PDF]
Biogeosciences, 2021 The Canary upwelling system (CanUS) is a productive coastal region characterized by strong seasonality and an intense offshore transport of organic carbon (Corg) to the adjacent oligotrophic offshore waters.
G. Bonino +5 more
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The role of heat wave events in the occurrence and persistence of thermal stratification in the southern North Sea [PDF]
Natural Hazards and Earth System Sciences, 2022 Temperature extremes not only directly affect the marine environment and ecosystems but also indirectly influence hydrodynamics and marine life. In this study, the role of heat wave events in the occurrence and persistence of thermal stratification was ...
W. Chen +4 more
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Journal of Marine Science and Engineering, 2020 A new parameterization for calculating the nonlinear near-bed wave orbital velocity in the shallow water was presented. The equations proposed by Isobe and Horikawa (1982) were modified in order to achieve more accurate predictions of the peak orbital ...
Pham Thanh Nam +3 more
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Remote Sensing, 2022 The Northeast China cold vortex (NCCV) often occurs in spring and summer, causing extreme weather such as rainstorm and hail in Northeast China. The brightness temperature (TB) observations of Microwave Temperature Sounder-2 (MWTS-2) on board Fengyun-3D (
Hui Liu, Xiaolei Zou
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The Aerosol Module in the Community Radiative Transfer Model (v2.2 and v2.3): accounting for aerosol transmittance effects on the radiance observation operator [PDF]
Geoscientific Model Development, 2022 The Community Radiative Transfer Model (CRTM), a sensor-based radiative transfer model, has been used within the Gridpoint Statistical Interpolation (GSI) system for directly assimilating radiances from infrared and microwave sensors.
C.-H. Lu +13 more
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