Biblio

Export 3212 results:
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
X
Xiu, Y., et al. Evaluation of sea-ice thickness reanalysis data from the coupled ocean-sea-ice data assimilation system TOPAZ4. Journal of Glaciology 67, (2021).
Xu, Y., Castel, T., Richard, Y., Cuccia, C. & Bois, B. Burgundy regional climate change and its potential impact on grapevines. Climate Dynamics (2012).doi:10.1007/s00382-011-1284
Xu, Y. Estimates of changes in surface wind and temperature extremes in southwestern Norway using dynamical downscaling method under future climate. Weather and Climate Extremes 26, (2019).
Xu, X., He, S., Gao, Y., Zhou, B. & Wang, H. Contributors to linkage between Arctic warming and East Asian winter climate. Climate Dynamics 57, (2021). Abstract
Xu, X., et al. Oceanic forcing of the global warming slowdown in multi-model simulations. International Journal of Climatology (2020).doi:10.1002/joc.6548
Xu, X., He, S., Zhou, B., Wang, H. & Outten, S. The Role of Mid-latitude Westerly Jet in the Impacts of November Ural Blocking on Early-Winter Warmer Arctic-Colder Eurasia Pattern. Geophysical Research Letters 49, (2022).
Xu, D., Zhuang, W. & Yan, Y. Could the two anticyclonic eddies during winter 2003/2004 be reproduced and predicted in the northern South China Sea?. Ocean Science 15, (2019).
Xu, X., He, S., Zhou, B. & Wang, H. Atmospheric Contributions to the Reversal of Surface Temperature Anomalies Between Early and Late Winter Over Eurasia. Earth's Future 10, (2022).
Xu, X., et al. Strengthened linkage between midlatitudes and Arctic in boreal winter. Climate Dynamics 53, (2019).
Y
Yala, K., et al. Estimation of phytoplankton pigments from ocean-color satellite observations in the Senegalo–Mauritanian region by using an advanced neural classifier. Ocean Science 16, (2020).
Yamakawa, A., Sagen, H., Babiker, M., Worcester, P.F. & Furevik, B.R. Soundscape Characterization and the Impact of Environmental Factors in the Central Part of the Fram Strait. The Acoustic and environmental variability, fluctuations and coherence (2016).
Yamanaka, G., et al. Projected climate change in the western North Pacific at the end of the 21st century from ensemble simulations with a high-resolution regional ocean model. Journal of Oceanography 77, (2021).
Yan, Q., Zhang, Z., Wang, H., Gao, Y. & Zheng, W.P. Set-up and preliminary results of mid-Pliocene climate simulations with CAM3.1. Geoscientific Model Development 5, (2012).
Yan, Y., Svendsen, L., Wang, C., Keenlyside, N. & Xu, D. A North-South Contrast of Subsurface Salinity Anomalies in the Northwestern Pacific From 2002 to 2013. Journal of Geophysical Research (JGR): Space Physics 124, (2019).
Yan, Q., Zhongshi, Z., Gao, Y., Wang, H. & Johannessen, O.M. Sensitivity of the modeled present-day Greenland Ice Sheet to climatic forcing and spin-up methods and its influence on future sea level projections. Journal of Geophysical Research (JGR): Earth Surface 118, (2013).
Yan, C., Zhu, J. & Xie, J. An ocean data assimilation system in the Indian ocean and west Pacific ocean,. Advances in Atmospheric Sciences 32, (2015).
Yan, Q., Wang, H., Johannessen, O.M. & Zhang, Z. Greenland ice sheet contribution to future global sea level rise based on CMIP5 models. Advances in Atmospheric Sciences 31, (2014).
Yang, D. & Kane, D.L. Arctic Hydrology, Permafrost and Ecosystems. 914 (2021).
Yang, S., Gao, Y., Koenigk, T., Keenlyside, N. & Counillon, F. The Climate Model: An ARCPATH Tool to Understand and Predict Climate Change. Nordic Perspectives on the Responsible Development of the Arctic: Pathways to Action (2020).doi:10.1007/978-3-030-52324-4_8
Yang, X.-Y., Wang, G. & Keenlyside, N. The Arctic sea ice extent change connected to Pacific decadal variability. The Cryosphere 14, (2020).
Yang, D. & Kane, D.L. Arctic Hydrology, Permafrost and Ecosystems. 914 (2020).at <https://www.springer.com/gp/book/9783030509286>
Yang, S.-C., Corazza, M., Carrassi, A., Kalnay, E. & Miyoshi, T. Comparison of ensemble-based and variational-based data assimilation schemes in a quasi-geostrophic model. 86th AMS annual meeting (2006).
Yang, S.-C., Corazza, M., Carrassi, A., Kalnay, E. & Miyoshi, T. Comparison of Local Ensemble Transform Kalman Filter, 3DVAR, and 4DVAR in a Quasigeostrophic Model. Monthly Weather Review 137, 693 - 709 (2009).
Yano, J.-I., et al. Scientific challenges of convective-scale numerical weather prediction. Bulletin of The American Meteorological Society - (BAMS) (2018).doi:10.1175/BAMS-D-17-0125.1 Abstract
Yde, J.C., et al. The Arctic in the 21st century: Changing biogeochemical linkages across a paraglacial landscape of Greenland. BioScience (2016).doi:10.1093/biosci/biw158
Nansen Environmental and Remote Sensing Center Logo
Nansen Environmental and Remote Sensing Center
NABIC Logo
Nansen-Bangladesh International Centre for Coastal, Ocean and Climate Studies
Nansen International Environmental and Remote Sensing Center Logo
Nansen International Environmental and Remote Sensing Center
Nansen Environmental Research Center – India Logo
Nansen Environmental Research Center – India
Nansen–Zhu International Research Centre Logo
Nansen–Zhu International Research Centre
Nansen-Tutu Centre for Marine Environmental Research Logo
Nansen-Tutu Centre for Marine Environmental Research