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Filtre: Forfatter er Yiguo Wang [Slett Alle Filtre]

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A

Wang, Y., Counillon, F.S. & Bertino, L. Alleviating the bias induced by the linear analysis update with an isopycnal ocean model. Quarterly Journal of the Royal Meteorological Society 142, (2016). Abstract

Wang, Y., Sartelet, K.N., Bocquet, M. & Chazette, P. Assimilation of ground versus lidar observations for PM$_{10}$ forecasting. Atmospheric Chemistry and Physics 13, 269–283 (2013).

Wang, Y., mfl. Assimilation of lidar signals: Application to aerosol forecasting in the western Mediterranean basin. Atmospheric Chemistry and Physics (ACP) 14, (2014).

B

Keenlyside, N., mfl. Basin Interactions and predictability. Interacting Climates of Ocean Basins (2020).

Wang, Y., Counillon, F.S., Barthelemy, S.J.-C. & Barth, A. Benefit of vertical localization for sea surface temperature assimilation in isopycnal coordinate model. Frontiers in Climate 4, (2022).

C

Penny, S.G., mfl. Coupled Data Assimilation for Integrated Earth System Analysis and Prediction: Goals, Challenges and Recommendations. (2017).

E

Singh, T., Counillon, F.S., Tjiputra, J., Wang, Y. & Gharamti, M.E. Estimation of Ocean Biogeochemical Parameters in an Earth System Model Using the Dual One Step Ahead Smoother: A Twin Experiment. Frontiers in Marine Science 9, (2022).

F

Counillon, F., mfl. Flow-dependent assimilation of sea surface temperature in isopycnal coordinates with the Norwegian climate prediction model. Tellus A: Dynamic Meteorology and Oceanography 68:32437, (2016).

Last ned: 32437-219959-1-PB.pdf (2.62 MB)

G

Cazenave, A., mfl. Global sea-level budget 1993–present. Earth System Science Data 10, (2018).

I

Kimmritz, M., mfl. Impact of ocean and sea ice initialisation on seasonal prediction skill in the Arctic. Journal of Advances in Modeling Earth Systems 11, (2019). Abstract

Li, F., mfl. Impact of snow initialization in subseasonal-to-seasonal winter forecasts with the Norwegian Climate Prediction Model. Journal of Geophysical Research (JGR): Atmospheres 124, (2019). Abstract

M

Jackson, L.C., mfl. The mean state and variability of the North Atlantic circulation: A perspective from ocean reanalyses. Journal of Geophysical Research (JGR): Oceans 124, (2019).

Wang, Y., Sartelet, K.N., Bocquet, M. & Chazette, P. Modelling and assimilation of lidar signals over Greater Paris during the MEGAPOLI summer campaign. Atmospheric Chemistry and Physics 14, 3511–3532 (2014).

N

Bethke, I., mfl. NorCPM1 and its contribution to CMIP6 DCPP. Geoscientific Model Development 14, (2021). Abstract

Smith, D.M., mfl. North Atlantic climate far more predictable than models imply. Nature 583, (2020).

O

Wang, Y., mfl. Optimising assimilation of hydrographic profiles into isopycnal ocean models with ensemble data assimilation. Ocean Modelling 114, (2017).

P

Langehaug, H.R., mfl. Propagation of Thermohaline Anomalies and Their Predictive Potential along the Atlantic Water Pathway. Journal of Climate 35, (2021).

R

Counillon, F.S., mfl. Relating model bias and prediction skill in the equatorial Atlantic. Climate Dynamics 56, (2021).

S

Gleixner, S.N., mfl. Seasonal predictability of Kiremt rainfall in coupled general circulation models. Environmental Research Letters 12, (2017).

Wang, Y., mfl. Seasonal predictions initialised by assimilating sea surface temperature observations with the EnKF. Climate Dynamics 19, (2019).

Dai, P., mfl. Seasonal to decadal predictions of regional Arctic sea ice by assimilating sea surface temperature in the Norwegian Climate Prediction Model. Climate Dynamics (2020).doi:10.1007/s00382-020-05196-4

T

Min, C., mfl. Toward Quantifying the Increasing Accessibility of the Arctic Northeast Passage in the Past Four Decades. Advances in Atmospheric Sciences (2023).doi:10.1007/s00376-022-2040-3

V

Pettersson, L.H., mfl. Validation and improvement of processing algorithms for retrieval of water quality parameters in Norwegian coastal waters. (2008).

W

Hermanson, L., mfl. WMO Global Annual to Decadal Climate Update A Prediction for 2021-25. Bulletin of The American Meteorological Society - (BAMS) 103, (2022).

Nansen Environmental and Remote Sensing Center	Nansen-Bangladesh International Centre for Coastal, Ocean and Climate Studies	Nansen International Environmental and Remote Sensing Center
Nansen Environmental Research Center – India	Nansen–Zhu International Research Centre	Nansen-Tutu Centre for Marine Environmental Research