Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Boi, P.
2004.
A statistical method for forecasting extreme daily temperatures using ECMWF 2‐m temperatures and ground station measurements.
Meteorological Applications,
Vol. 11,
Issue. 3,
p.
245.
Crochet, Philippe
2004.
Adaptive Kalman filtering of 2‐metre temperature and 10‐metre wind‐speed forecasts in Iceland.
Meteorological Applications,
Vol. 11,
Issue. 2,
p.
173.
Anadranistakis, Manolis
Lagouvardos, Kostas
Kotroni, Vassiliki
and
Elefteriadis, Helias
2004.
Correcting temperature and humidity forecasts using Kalman filtering: potential for agricultural protection in Northern Greece.
Atmospheric Research,
Vol. 71,
Issue. 3,
p.
115.
Doeswijk, T.G.
and
Keesman, K.J.
2005.
Adaptive Weather Forecasting using Local Meteorological Information.
Biosystems Engineering,
Vol. 91,
Issue. 4,
p.
421.
Emmanouil, G.
Galanis, G.
and
Kallos, G.
2006.
Statistical methods for the prediction of night‐time cooling and minimum temperature.
Meteorological Applications,
Vol. 13,
Issue. 2,
p.
169.
Detlefsen, Nina K.
2006.
Probability forecasts for weather-dependent agricultural operations using
generalized estimating equations.
Tellus A: Dynamic Meteorology and Oceanography,
Vol. 58,
Issue. 5,
p.
558.
Louka, P.
Galanis, G.
Siebert, N.
Kariniotakis, G.
Katsafados, P.
Pytharoulis, I.
and
Kallos, G.
2008.
Improvements in wind speed forecasts for wind power prediction purposes using Kalman filtering.
Journal of Wind Engineering and Industrial Aerodynamics,
Vol. 96,
Issue. 12,
p.
2348.
Libonati, Renata
Trigo, Isabel
and
DaCamara, Carlos C.
2008.
Correction of 2 m-temperature forecasts using Kalman Filtering technique.
Atmospheric Research,
Vol. 87,
Issue. 2,
p.
183.
Galanis, George
Emmanouil, George
Chu, Peter C.
and
Kallos, George
2009.
A new methodology for the extension of the impact of data assimilation on ocean wave prediction.
Ocean Dynamics,
Vol. 59,
Issue. 3,
p.
523.
Emmanouil, George
Galanis, George
and
Kallos, George
2010.
A new methodology for using buoy measurements in sea wave data assimilation.
Ocean Dynamics,
Vol. 60,
Issue. 5,
p.
1205.
Müller, M. D.
2011.
Effects of Model Resolution and Statistical Postprocessing on Shelter Temperature and Wind Forecasts.
Journal of Applied Meteorology and Climatology,
Vol. 50,
Issue. 8,
p.
1627.
Wilks, D.S.
2011.
Statistical Methods in the Atmospheric Sciences.
Vol. 100,
Issue. ,
p.
215.
Costa, Marco
and
Gonçalves, A. Manuela
2011.
Clustering and forecasting of dissolved oxygen concentration on a river basin.
Stochastic Environmental Research and Risk Assessment,
Vol. 25,
Issue. 2,
p.
151.
Sweeney, C.
and
Lynch, P.
2011.
Adaptive post‐processing of short‐term wind forecasts for energy applications.
Wind Energy,
Vol. 14,
Issue. 3,
p.
317.
Mitchell, H. B.
2012.
Data Fusion: Concepts and Ideas.
p.
239.
Galanis, George
Hayes, Dan
Zodiatis, George
Chu, Peter C.
Kuo, Yu-Heng
and
Kallos, George
2012.
Wave height characteristics in the Mediterranean Sea by means of numerical modeling, satellite data, statistical and geometrical techniques.
Marine Geophysical Research,
Vol. 33,
Issue. 1,
p.
1.
Al-Mazrooei, A
Al-Mutawa, J
El-Gebeily, M
and
Agarwal, R
2012.
Filtering and identification of a state space model with linear and bilinear interactions between the states.
Advances in Difference Equations,
Vol. 2012,
Issue. 1,
Galanis, George
Chu, Peter C.
Kallos, George
Kuo, Yu-Heng
and
Dodson, C. T. J.
2012.
Wave height characteristics in the north Atlantic ocean: a new approach based on statistical and geometrical techniques.
Stochastic Environmental Research and Risk Assessment,
Vol. 26,
Issue. 1,
p.
83.
Emmanouil, George
Galanis, George
and
Kallos, George
2012.
Combination of statistical Kalman filters and data assimilation for improving ocean waves analysis and forecasting.
Ocean Modelling,
Vol. 59-60,
Issue. ,
p.
11.
Cassola, Federico
and
Burlando, Massimiliano
2012.
Wind speed and wind energy forecast through Kalman filtering of Numerical Weather Prediction model output.
Applied Energy,
Vol. 99,
Issue. ,
p.
154.