Results 71 to 80 of about 619,416 (280)
Sparsity-Based Kalman Filters for Data Assimilation [PDF]
Several variations of the Kalman filter algorithm, such as the extended Kalman filter (EKF) and the unscented Kalman filter (UKF), are widely used in science and engineering applications.
Kang, Wei, Xu, Liang
core +1 more source
Intra-hour cloud index forecasting with data assimilation [PDF]
We introduce a computational framework to forecast cloud index (CI)fields for up to one hour on a spatial domain that covers a city. Such intra-hour CI forecasts are important to produce solar power forecasts of utility scale solar power and distributed ...
Harty, TM +3 more
core +1 more source
Climate Change Threatens Micronutrient Density of European Winter Wheat
Micronutrients are vital for human health. Wheat is a major staple crop and a significant source of minerals and B‐vitamins. The impact of climate change on their content remains largely unknown. We evaluated micronutrient levels in European winter wheat grown under historical and projected climate conditions. Our findings indicate that future climates
Da Cao +17 more
wiley +1 more source
Influence of CO2 observations on the optimized CO2 flux in an ensemble Kalman filter [PDF]
In this study, the effect of CO2 observations on an analysis of surface CO2 flux was calculated using an influence matrix in the CarbonTracker, which is an inverse modeling system for estimating surface CO2 flux based on an ensemble Kalman filter.
J. Kim, H. M. Kim, C.-H. Cho
doaj +1 more source
Spaceborne microwave radiometer observations play vital roles in surface parameter retrievals and data assimilation, but widespread radio-frequency interference (RFI) signals in the C-band channel result in a lack of valuable data over large areas ...
Wangbin Shen +3 more
doaj +1 more source
Content in the Context of 4D-Var Data Assimilation. II: Application to Global Ozone Assimilation [PDF]
Data assimilation obtains improved estimates of the state of a physical system by combining imperfect model results with sparse and noisy observations of reality. Not all observations used in data assimilation are equally valuable.
Bowman, Kevin +4 more
core +1 more source
A wildland fire model with data assimilation
A wildfire model is formulated based on balance equations for energy and fuel, where the fuel loss due to combustion corresponds to the fuel reaction rate.
Albini +85 more
core +2 more sources
Global Nitrogen Deposition Promotes Carbon Sink Formation in Terrestrial Ecosystems
Nitrogen deposition alleviates ecosystem N limitation and enhances carbon sinks. Using 829 observations, we show 36% of deposited N is retained globally (39.15 Tg N yr−1), with distinct NHx and NOy contributions. This retention drives a terrestrial C sink of 0.88 Pg C yr−1 (25.48%), highlighting the importance of pool‐specific C:N stoichiometry ...
Lei Li +6 more
wiley +1 more source
High‐resolution atmospheric CO2 concentration data simulated in WRF‐Chem over East Asia for 10 years
In this study, high‐resolution CO2 concentration data were generated for East Asia to analyse long‐term changes in atmospheric CO2 concentrations, as East Asia is an important region for understanding the global carbon cycle.
Min‐Gyung Seo +2 more
doaj +1 more source
Variational data assimilation using targetted random walks [PDF]
The variational approach to data assimilation is a widely used methodology for both online prediction and for reanalysis (offline hindcasting). In either of these scenarios it can be important to assess uncertainties in the assimilated state.
Cotter, S. L. +3 more
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