Items where Division is "National Centre for Earth Observation (NCEO)" and Year is 2016

Article

Carrassi, A. ORCID: https://orcid.org/0000-0003-0722-5600, Guemas, V., Doblas-Reyes, F. J., Volpi, D. and Asif, M. (2016) Sources of skill in near-term climate prediction: generating initial conditions. Climate Dynamics, 47 (12). pp. 3693-3712. ISSN 0930-7575 doi: 10.1007/s00382-016-3036-4

Häusler, M., Silva, J. M. N., Cerasoli, S., Lopez Saldana, G. and Pereira, J. M. C. (2016) Modelling spectral reflectance of open cork oak woodland: a simulation analysis of the effects of vegetation structure and background. International Journal of Remote Sensing, 37 (3). pp. 492-515. ISSN 0143-1161 doi: 10.1080/01431161.2015.1134847

Pazó, D., Carrassi, A. ORCID: https://orcid.org/0000-0003-0722-5600 and López, J. M. (2016) Data assimilation by delay-coordinate nudging. Quarterly Journal of the Royal Meteorological Society, 142 (696). pp. 1290-1299. ISSN 0035-9009 doi: 10.1002/qj.2732

Sobrino, J. A., Jiménez-Muñoz, J. C., Sòria, G., Ruescas, A. B., Danne, O., Brockmann, C., Ghent, D., Remedios, J., North, P., Merchant, C. ORCID: https://orcid.org/0000-0003-4687-9850, Berger, M., Mathieu, P. P. and Göttsche, F.-M. (2016) Synergistic use of MERIS and AATSR as a proxy for estimating Land Surface Temperature from Sentinel-3 data. Remote Sensing of Environment, 179. pp. 149-161. ISSN 0034-4257 doi: 10.1016/j.rse.2016.03.035

Book or Report Section

Carrassi, A. ORCID: https://orcid.org/0000-0003-0722-5600 and Vannitsem, S. (2016) Deterministic treatment of model error in geophysical data assimilation. In: Ancona, F., Cannarsa, P., Jones, C. and Portaluri, A. (eds.) Mathematical Paradigms of Climate Science. Springer INdAM Series, 15. Springer, pp. 175-213. doi: 10.1007/978-3-319-39092-5_9

Nichols, N. K. ORCID: https://orcid.org/0000-0003-1133-5220 (2016) Correlated observations in data assimilation. In: Mathematical and Algorithmic Aspects of Data Assimilation in the Geosciences. Mathematisches Forschungsinstitut, Oberwolfach Germany, pp. 35-37. doi: 10.4171/OWR/2016/47