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Journal of Advances in Modeling Earth Systems, 2022 AbstractData Assimilation aims at estimating the posterior conditional probability density functions based on error statistics of the noisy observations and the dynamical system. State of the art methods are sub‐optimal due to the common use of Gaussian error statistics and the linearization of the non‐linear dynamics.
Boudier, Pierre +4 more
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Data assimilation in glaciology [PDF]
, 2014 Abstract This chapter addresses an inverse problem in glaciology, namely how to infer a climatic scenario (i.e. how to reconstruct past polar temperature) from ice volume records. Ice volume observations are available from oceanic records, giving information about sea level, and therefore about the amount of water stored in ice sheets ...
Bonan, Bertrand +3 more
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Mitigation of Significant Data Noise in F17 SSMIS Observations since October 2017
Remote Sensing, 2022 Special Sensor Microwave Imager Sounder (SSMIS) temperature sounding observations have been made available since the launch of the Defense Meteorological Satellite Program (DMSP), F16, on 18 October 2003. These conical-scanning observations of brightness
Huijie Dong, Xiaolei Zou
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Determining Tropical Cyclone Center and Rainband Size in Geostationary Satellite Imagery
Remote Sensing, 2022 Brightness temperature (TB) observations at an infrared channel (10.3 μm) of the Advanced Baseline Imager (ABI) on board the U. S. 16th Geostationary Operational Environmental Satellite (GOES-16) are used for determining tropical cyclone (TC) center ...
Yanyang Hu, Xiaolei Zou
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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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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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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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Data Assimilation for Chaotic Dynamics [PDF]
, 2022 Chaos is ubiquitous in physical systems. The associated sensitivity to initial conditions is a significant obstacle in forecasting the weather and other geophysical fluid flows. Data assimilation is the process whereby the uncertainty in initial conditions is reduced by the astute combination of model predictions and real-time data.
Carrassi, Alberto +5 more
openaire +4 more sources
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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