Author  |
Title |
Year |
Publication |
Volume |
Pages |
AjayaMohan, R. S.; Jagtap, S.; LaRow, T. E.; Cocke, S.; O'Brien, J. J.; Jones, J.; Shin, D. W. |
Using climate models to generate crop yield forecasts in southeast USA |
2004 |
Research Activities in Atmospheric and Ocean Modeling, CAS/JSC Working Group on Numerical Experimentation |
|
|
Bai, X.; Cocke, S.; LaRow, T. E.; O'Brien, J. J.; Shin, D. W. |
Paradox of SST and lower tropospheric temperature trends over the tropical Pacific ocean |
2006 |
|
|
2-03 |
Boisserie, M.; LaRow, T.; Cocke, S. D.; Shin, D. W. |
Comparison of Soil Moisture in the FSU Climate Model Coupled to a Land Model CLM2 to Soil Moisture from NCEP/DOE Reanalysis 2 |
2005 |
|
|
|
Boisserie, M.; Shin, D.W.; LaRow, T.E.; Cocke, S. |
Evaluation of soil moisture in the Florida State University climate model-National Center for Atmospheric Research community land model (FSU-CLM) using two reanalyses (R2 and ERA40) and in situ observations |
2006 |
Journal of Geophysical Research |
111 |
|
Cintra, R.; Campos Velho, H.; Cocke, S. |
Multilayer Perceptron on data assimilation system applied to FSU global model |
2016 |
|
|
|
Cintra, R.; de Campos Velho, H.; Anochi, J.; Cocke, S. |
Data assimilation by artificial neural networks for the global FSU atmospheric model: Surface pressure |
2015 |
Computational Intelligence (LA-CCI), 2015 Latin America Congress on |
|
|
Cintro, R.; de Campos Velho, H.; Cocke, S. |
Tracking the model: Data assimilation by artificial neural network |
2017 |
2016 International Joint Conference on Neural Networks (IJCNN) |
|
403-410 |
Cocke, S. |
Case Study of Erin Using the FSU Nested Regional Spectral Model |
1998 |
Monthly Weather Review |
126 |
1337-1346 |
Cocke, S. D.; LaRow, T. E. |
), Seasonal Predictions of ENSO Impacts using a Nested Regional Spectral Model |
1999 |
|
|
|
Cocke, S.; Boisserie, M.; Shin, D.-W. |
A coupled soil moisture initialization scheme for the FSU/COAPS climate model |
2013 |
Inverse Problems in Science and Engineering |
21 |
420-437 |