Vadose Zone Model-Data Fusion: State of the Art and Future Challenges

2012 ◽  
Vol 11 (4) ◽  
pp. vzj2012.0140 ◽  
Author(s):  
Johan A. Huisman ◽  
Jasper A. Vrugt ◽  
Ty P.A. Ferre
Keyword(s):  
Data Fusion ◽  
Vadose Zone ◽  
State Of The Art ◽  
Zone Model ◽  
Model Data ◽  
Future Challenges

scholarly journals Point-to-Point Communication in Integrated Satellite-Aerial 6G Networks: State-of-the-art and Future Challenges

2021 ◽  
pp. 1-1
Author(s):  
Nasir Saeed ◽  
Heba Almorad ◽  
Hayssam Dahrouj ◽  
Tareq Y. Al-Naffouri ◽  
Jeff S. Shamma ◽  
...  
Keyword(s):  
State Of The Art ◽  
Future Challenges ◽  
Point To Point

scholarly journals ClC-1 chloride channels: state-of-the-art research and future challenges

2015 ◽  
Vol 09 ◽  
Author(s):  
Paola Imbrici ◽  
Concetta Altamura ◽  
Mauro Pessia ◽  
Renato Mantegazza ◽  
Jean-François Desaphy ◽  
...  
Keyword(s):  
Chloride Channels ◽  
State Of The Art ◽  
Future Challenges ◽  
Art Research

Comment on: Inflammatory mediators in osteoarthritis: A critical review of the state-of-the art, prospects, and future challenges

Bone ◽  
2018 ◽  
Vol 106 ◽  
pp. 28-29 ◽  
Author(s):  
A.E. Litwic ◽  
C. Parsons ◽  
M.H. Edwards ◽  
D. Jagannath ◽  
C. Cooper ◽  
...  
Keyword(s):  
Inflammatory Mediators ◽  
Critical Review ◽  
State Of The Art ◽  
The State ◽  
Future Challenges

Main technologies in biodiesel production: State of the art and future challenges

2012 ◽  
Vol 195 (1) ◽  
pp. 2-13 ◽  
Author(s):  
E. Santacesaria ◽  
G. Martinez Vicente ◽  
M. Di Serio ◽  
R. Tesser
Keyword(s):  
State Of The Art ◽  
Biodiesel Production ◽  
Future Challenges

scholarly journals Constraining a complex biogeochemical model for CO<sub>2</sub> and N<sub>2</sub>O emission simulations from various land uses by model–data fusion

2017 ◽  
Vol 14 (14) ◽  
pp. 3487-3508 ◽  
Author(s):  
Tobias Houska ◽  
David Kraus ◽  
Ralf Kiese ◽  
Lutz Breuer
Keyword(s):  
Data Fusion ◽  
Arable Land ◽  
Shallow Groundwater ◽  
Scale Model ◽  
Biogeochemical Model ◽  
N2o Emissions ◽  
Model Errors ◽  
Model Data ◽  
Validation Data ◽  
Fusion Concept

Abstract. This study presents the results of a combined measurement and modelling strategy to analyse N2O and CO2 emissions from adjacent arable land, forest and grassland sites in Hesse, Germany. The measured emissions reveal seasonal patterns and management effects, including fertilizer application, tillage, harvest and grazing. The measured annual N2O fluxes are 4.5, 0.4 and 0.1 kg N ha−1 a−1, and the CO2 fluxes are 20.0, 12.2 and 3.0 t C ha−1 a−1 for the arable land, grassland and forest sites, respectively. An innovative model–data fusion concept based on a multicriteria evaluation (soil moisture at different depths, yield, CO2 and N2O emissions) is used to rigorously test the LandscapeDNDC biogeochemical model. The model is run in a Latin-hypercube-based uncertainty analysis framework to constrain model parameter uncertainty and derive behavioural model runs. The results indicate that the model is generally capable of predicting trace gas emissions, as evaluated with RMSE as the objective function. The model shows a reasonable performance in simulating the ecosystem C and N balances. The model–data fusion concept helps to detect remaining model errors, such as missing (e.g. freeze–thaw cycling) or incomplete model processes (e.g. respiration rates after harvest). This concept further elucidates the identification of missing model input sources (e.g. the uptake of N through shallow groundwater on grassland during the vegetation period) and uncertainty in the measured validation data (e.g. forest N2O emissions in winter months). Guidance is provided to improve the model structure and field measurements to further advance landscape-scale model predictions.

scholarly journals Overview: Tropospheric profiling: state of the art and future challenges – introduction to the AMT special issue

2014 ◽  
Vol 7 (9) ◽  
pp. 2981-2986 ◽  
Author(s):  
D. Cimini ◽  
V. Rizi ◽  
P. Di Girolamo ◽  
F. S. Marzano ◽  
A. Macke ◽  
...  
Keyword(s):  
International Symposium ◽  
Technology Development ◽  
State Of The Art ◽  
Measurement Techniques ◽  
Special Issue ◽  
Recent Advances ◽  
Future Challenges ◽  
Atmospheric Measurement

Abstract. This paper introduces the Atmospheric Measurement Techniques special issue on tropospheric profiling, which was conceived to host full papers presenting the results shown at the 9th International Symposium on Tropospheric Profiling (ISTP9). ISTP9 was held in L'Aquila (Italy) from 3 to 7 September 2012, bringing together 150 scientists representing of 28 countries and 3 continents. The tropospheric profiling special issue collects the highlights of ISTP9, reporting recent advances and future challenges in research and technology development.

Data fusion in cyber-physical-social systems: State-of-the-art and perspectives

2019 ◽  
Vol 51 ◽  
pp. 42-57 ◽  
Author(s):  
Puming Wang ◽  
Laurence T. Yang ◽  
Jintao Li ◽  
Jinjun Chen ◽  
Shangqing Hu
Keyword(s):  
Data Fusion ◽  
State Of The Art ◽  
Social Systems
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