Peer-reviewed publications using MODES

MODES reference paper:

Normal-mode function representation of global 3-D data sets: open-access software for the atmospheric research community

Žagar, N., Kasahara, A., Terasaki, K., Tribbia, J. and Tanaka, H., 2015. Normal-mode function representation of global 3-D data sets: open-access software for the atmospheric research community. Geoscientific Model Development, 8(4), pp.1169-1195. https://doi.org/10.5194/gmd-8-1169-2015

2021

The signature of the tropospheric gravity wave background in observed mesoscale motion

Stephan, C.C. and Mariaccia, A., 2021. The signature of the tropospheric gravity wave background in observed mesoscale motion. Weather and Climate Dynamics, 2(2), pp.359-372. https://doi.org/10.5194/wcd-2-359-2021.

Waves and coherent flows in the tropical atmosphere: New opportunities, old challenges

Stephan, C.C., Žagar, N. and Shepherd, T.G., 2021. Waves and coherent flows in the tropical atmosphere: new opportunities, old challenges. Quarterly Journal of the Royal Meteorological Society., https://doi.org/10.1002/qj.4109

Uncertainties in Kelvin waves in ECMWF analyses and forecasts: Insights from Aeolus observing system experiments.

Žagar, N., M. Rennie, and L. Isaksen, 2021: Uncertainties in Kelvin waves in ECMWF analyses and forecasts: Insights from Aeolus observing system experiments. Geophysical Research Letters, 48, e2021GL094716. https://doi.org/10.1029/2021GL094716.

2020

An assessment of scale-dependent variability and bias in global prediction models

Žagar, N., Kosovelj, K., Manzini, E., Horvat, M. and Castanheira, J., 2020. An assessment of scale-dependent variability and bias in global prediction models. Climate Dynamics, 54(1), pp.287-306. https://doi.org/10.1007/s00382-019-05001-x

Comments on “What is the predictability limit of midlatitude weather?”

Žagar, N. and I. Szunyogh, 2020: Comments on “What Is the Predictability Limit of Midlatitude Weather?”. J. Atmos. Sci., 77(2). 781-785, https://doi.org/10.1175/JAS-D-19-0166.1

Modal view of atmospheric variability: applications of normal-mode function decomposition in weather and climate research

Žagar, N. and Tribbia, J. eds., 2020. Modal View of Atmospheric Variability: Applications of Normal-Mode Function Decomposition in Weather and Climate Research (Vol. 8). Springer Nature. https://doi.org/10.1007/978-3-030-60963-4.

Atmospheric subseasonal variability and circulation regimes: spectra, trends, and uncertainties

Žagar, N., Ž. Zaplotnik, and K. Karami, 2020: Atmospheric Subseasonal Variability and Circulation Regimes: Spectra, Trends, and Uncertainties. J. Climate, 33 (21), 9375–9390, https://doi.org/10.1175/JCLI-D-20-0225.1

2019

A reduced-order representation of the Madden–Julian oscillation based on reanalyzed normal mode coherences

Kitsios, V., O’Kane, T.J. and Žagar, N., 2019. A reduced-order representation of the Madden–Julian oscillation based on reanalyzed normal mode coherences. Journal of the Atmospheric Sciences, 76(8), pp.2463-2480. https://doi.org/10.1175/JAS-D-18-0197.1.

Modal decomposition of the global response to tropical heating perturbations resembling MJO

Kosovelj, K., F. Kucharski, F. Molteni and N. Žagar, 2019: Modal decomposition of the global response to tropical heating perturbations resembling MJO. J. Atmos. Sci., 76, 1457-1469, https://doi.org/10.1175/JAS-D-18-0203.1.

Systematic decomposition of the MJO and its Northern Hemispheric extratropical response into Rossby and inertio‐gravity components

Franzke, C.L., Jelic, D., Lee, S. and Feldstein, S.B., 2019. Systematic decomposition of the MJO and its Northern Hemispheric extratropical response into Rossby and inertio‐gravity components. Quarterly Journal of the Royal Meteorological Society, 145(720), pp.1147-1164.https://doi.org/10.1002/qj.3484.

2018

Estimating subseasonal variability and trends in global atmosphere using reanalysis data

Žagar, N., D. Jelić, M.J. Alexander and E. Manzini, 2018: Estimating subseasonal variability and trends in global atmosphere using reanalysis data. Geophys. Res. Lett., 45, 12999-13007, https://doi.org/10.1029/2018GL080051.

Gravity waves excited during a minor sudden stratospheric warming

Doernbrack, A., S. Gisinger, N. Keifler, T. Portele, M. Bamberger, M. Rapp, M. Gerding, J. Soder, N. Žagar and D. Jelic, 2018: Gravity waves excited during a minor sudden stratospheric warming. Atmos. Chem. Phys.,18, 12915-12931, https://doi.org/10.5194/acp-18-12915-2018

Multivariate analysis of Kelvin wave seasonal variability in ECMWF L91 analyses

Blaauw, M. and N. Žagar, 2018: Multivariate analysis of Kelvin wave seasonal variability in ECMWF L91 analyses. Atmos. Chem. Phys., 18, 8313-8330, https://doi.org/10.5194/acp-18-8313-2018

2017

Scale-dependent estimates of the growth of forecast uncertainties in a global prediction system

Žagar, N., Horvat, M., Zaplotnik, Ž. and Magnusson, L., 2017. Scale-dependent estimates of the growth of forecast uncertainties in a global prediction system. Tellus A: Dynamic Meteorology and Oceanography, 69(1), p.1287492. https://doi.org/10.1080/16000870.2017.1287492.

Energy spectra in inertio-gravity waves in global analyses

Žagar, N., Jelić, D., Blaauw, M. and Bechtold, P., 2017. Energy spectra and inertia–gravity waves in global analyses. Journal of the Atmospheric Sciences, 74(8), pp.2447-2466. https://doi.org/10.1175/JAS-D-16-0341.1

A global perspective of the limits of prediction skill of NWP models

Žagar, N., 2017. A global perspective of the limits of prediction skill of NWP models. Tellus A: Dynamic Meteorology and Oceanography, 69(1), p.1317573. https://doi.org/10.1080/16000870.2017.1317573.

2016

Scale-dependent representation of the information content of observations in the global ensemble Kalman filter data assimilation

Žagar, N., Anderson, J., Collins, N., Hoar, T., Raeder, K., Lei, L. and Tribbia, J., 2016. Scale-dependent representation of the information content of observations in the global ensemble Kalman filter data assimilation. Monthly Weather Review, 144(8), pp.2927-2945. https://doi.org/10.1175/MWR-D-15-0401.1

Normal modes of atmospheric variability in observations, numerical weather prediction and climate models

Žagar, N., J. Boyd, A. Kasahara, J. Tribbia, E. Källén, H. Tanaka and J.-I. Yano, 2016: Normal modes of atmospheric variability in observations, numerical weather prediction and climate models. Bull. Amer. Meteor. Soc., https://doi.org/10.1175/BAMS-D-15-00325.1

2015

Systematic decomposition of the Madden‐Julian Oscillation into balanced and inertio‐gravity components

Žagar, N. and Franzke, C.L., 2015. Systematic decomposition of the Madden‐Julian Oscillation into balanced and inertio‐gravity components. Geophysical Research Letters, 42(16), pp.6829-6835, https://doi.org/10.1002/2015GL065130. https://doi.org/10.1002/qj.3484.

A three-dimensional multivariate modal analysis of atmospheric predictability with application to the ECMWF ensemble

Žagar, N., Buizza, R. and Tribbia, J., 2015. A three-dimensional multivariate modal analysis of atmospheric predictability with application to the ECMWF ensemble. Journal of Atmospheric Sciences, 72(11), pp.4423-4444. https://doi.org/10.1175/JAS-D-15-0061.1