Showing 181 - 200 results of 3,333 for search '"data assimilation"', query time: 0.74s Refine Results
  1. 181

    Typhoon rainstorm simulations with radar data assimilation on the southeast coast of China by J. Tian, J. Tian, R. Liu, R. Liu, L. Ding, L. Guo, L. Guo, B. Zhang, B. Zhang

    Published 2021-02-01
    “…<p>As an effective technique to improve the rainfall forecast, data assimilation plays an important role in meteorology and hydrology. …”
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    Article
  2. 182
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  4. 184

    A Multi‐Model Ensemble Kalman Filter for Data Assimilation and Forecasting by Eviatar Bach, Michael Ghil

    Published 2023-01-01
    “…Abstract Data assimilation (DA) aims to optimally combine model forecasts and observations that are both partial and noisy. …”
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    Article
  5. 185

    Impact of hydrographic data assimilation on the modelled Atlantic meridional overturning circulation by G. C. Smith, K. Haines, T. Kanzow, S. Cunningham

    Published 2010-08-01
    “…A detailed comparison is presented of 1° and 1/4° resolution global model simulations with and without sequential data assimilation, to the observations and transport estimates from the RAPID mooring array across 26.5° N in the Atlantic. …”
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    Article
  6. 186

    Sequential data assimilation for real-time probabilistic flood inundation mapping by K. Jafarzadegan, P. Abbaszadeh, H. Moradkhani

    Published 2021-09-01
    “…Therefore, a real-time modeling framework that forecasts the inundation areas before the onset of an upcoming flood is of paramount importance. Sequential data assimilation (DA) techniques are well known for real-time operation of physical models while accounting for existing uncertainties. …”
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    Article
  7. 187
  8. 188

    Data Assimilation of AOD and Estimation of Surface Particulate Matters over the Arctic by Kyung M. Han, Chang H. Jung, Rae-Seol Park, Soon-Young Park, Sojin Lee, Markku Kulmala, Tuukka Petäjä, Grzegorz Karasiński, Piotr Sobolewski, Young Jun Yoon, Bang Young Lee, Kiyeon Kim, Hyun S. Kim

    Published 2021-02-01
    “…Therefore, combining the model simulation and data assimilation provided more accurate concentrations of AOD, PM<sub>10</sub>, and PM<sub>2.5</sub> than those only calculated from the model simulations.…”
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  9. 189

    Impacts of Multiple Radiance Data Assimilation on the Simulation of Typhoon Chan-Hom by Dongmei Xu, Aiqing Shu, Feifei Shen, Jinzhong Min, Hong Li, Xiaoli Xia

    Published 2020-09-01
    “…With the module of assimilating AMSU-A (Advanced Microwave Sounding Unit-A) and AIRS (Atmospheric Infrared Sounder) data in the WRFDA (Weather Research and Forecasting Model Data Assimilation) system, the impacts of joint assimilation of the radiance observations from two satellites on the simulation of typhoon Chan-hom (2015) are addressed. …”
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  10. 190
  11. 191

    Observation impact in data assimilation: the effect of non-Gaussian observation error by Alison Fowler, Peter Jan Van Leeuwen

    Published 2013-05-01
    “…Data assimilation methods which avoid the assumption of Gaussian error statistics are being developed for geoscience applications. …”
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  12. 192
  13. 193

    Snow data assimilation for seasonal streamflow supply prediction in mountainous basins by S. Metref, S. Metref, E. Cosme, M. Le Lay, J. Gailhard

    Published 2023-06-01
    “…However, both scarce observation data and oversimplified physics representation may lead to significant forecast errors. Data assimilation has been shown to be beneficial for improving predictions in various hydrological applications, yet very few have addressed the seasonal streamflow supply prediction problem. …”
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    Article
  14. 194

    Modelling the barotropic sea level in the Mediterranean Sea using data assimilation by M. Bajo, C. Ferrarin, G. Umgiesser, G. Umgiesser, A. Bonometto, E. Coraci

    Published 2023-05-01
    “…<p>This paper analyses the variability of the sea level barotropic components in the Mediterranean Sea and their reproduction using a hydrodynamic model with and without data assimilation. The impact of data assimilation is considered both in reanalysis and short-forecast simulations. …”
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  17. 197

    Structure of forecast error covariance in coupled atmosphere–chemistry data assimilation by S. K. Park, S. Lim, M. Zupanski

    Published 2015-05-01
    “…Given the realistic structure of ensemble forecast error covariance produced by the WRF-Chem, we anticipate that the ensemble-based coupled atmosphere–chemistry data assimilation will respond similarly to assimilation of real observations.…”
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  19. 199

    Spatial horizontal correlation characteristics in the land data assimilation of soil moisture by X. Han, X. Li, H. J. Hendricks Franssen, H. Vereecken, C. Montzka

    Published 2012-05-01
    “…This paper examines the potential of incorporating the spatial horizontal correlation characteristics of surface soil moisture observations in land data assimilation in order to obtain improved estimates of soil moisture at uncovered grid cells (i.e. grid cells without observations). …”
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  20. 200

    Technical Note: Sequential ensemble data assimilation in convergent and divergent systems by H. H. Bauser, H. H. Bauser, D. Berg, D. Berg, K. Roth, K. Roth

    Published 2021-06-01
    “…<p>Data assimilation methods are used throughout the geosciences to combine information from uncertain models and uncertain measurement data. …”
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    Article