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  1. Efficient deep data assimilation with sparse observations and time-varying sensors
    2023/10/24 by Sibo Cheng, Che Liu, Cheng, Sibo +5 · 6 citations
    Earth and Planetary Sciences · Engineering · Mathematics · Physics and Astronomy · #Algorithm #Artificial intelligence #Computer science #Convolutional neural network #Covariance #Covariance operator #Data assimilation #Deep learning #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics and Turbulent Flows #Machine Learning (cs.LG) #Mathematical Physics (math-ph) #Mathematics #Meteorological Phenomena and Simulations #Model Reduction and Neural Networks #Operator (biology) #Robustness (evolution)
  2. Ice-flow model emulator based on physics-informed deep learning
    2023/09/26 by Guillaume Jouvet, Guillaume Cordonnier · 11 citations
    Earth and Planetary Sciences · Engineering · Environmental Science · Mathematics · Physics and Astronomy · #Artificial intelligence #Computational science #Computer science #Convolutional neural network #Cryospheric studies and observations #Data assimilation #Deep learning #Engineering #Fidelity #Flow (mathematics) #Geology #Geometry #Geomorphology #Glacier #High fidelity #Landslides and related hazards #Machine learning #Mathematics #Meteorology #Model Reduction and Neural Networks #Simulation #Variety (cybernetics)
  3. Deep-learning inversion: A next-generation seismic velocity model building method
    2019/04/05 by Fangshu Yang, Jianwei Ma · 26 citations
    Earth and Planetary Sciences · Engineering · #Algorithm #Artificial intelligence #Artificial neural network #Computer science #Convolutional neural network #Data assimilation #Deep learning #Drilling and Well Engineering #Geology #Geophysical imaging #Geophysics #Inversion (geology) #Model building #Seismic Imaging and Inversion Techniques #Seismic Waves and Analysis #Seismic inversion #Seismic tomography #Seismogram #Seismology
  4. MSWEP V2 Global 3-Hourly 0.1° Precipitation: Methodology and Quantitative Assessment
    2018/09/11 by Hylke E. Beck, Eric F. Wood, Ming Pan +5 · 60 citations
    Earth and Planetary Sciences · Environmental Science · #Climate variability and models #Climatology #Data assimilation #Environmental science #Geography #Geology #Global Precipitation Measurement #Meteorological Phenomena and Simulations #Meteorology #Precipitation #Precipitation Measurement and Analysis #Quantitative precipitation estimation #Satellite
  5. Implementation of evapotranspiration data assimilation with catchment scale distributed hydrological model via an ensemble Kalman Filter
    2017/04/20 by Lei Zou, Chesheng Zhan, Jun Xia +2 · 3 citations
    Environmental Science · #Climatology #Computer science #Data assimilation #Drainage basin #Ensemble Kalman filter #Environmental science #Evapotranspiration #Extended Kalman filter #Geography #Geology #Hydrological modelling #Hydrology (agriculture) #Hydrology and Watershed Management Studies #Kalman filter #Meteorology #Plant Water Relations and Carbon Dynamics #Precipitation #Scale (ratio) #Soil Moisture and Remote Sensing #Streamflow #Surface runoff #Water cycle
  6. Insights into Earth’s Energy Imbalance from Multiple Sources
    2016/07/07 by Kevin E. Trenberth, John Fasullo, Karina von Schuckmann +1 · 1 citation
    Environmental Science · Earth and Planetary Sciences · #Climate variability and models #Oceanographic and Atmospheric Processes #Geophysics and Gravity Measurements #Argo #Climatology #Environmental science #Standard deviation #Atmosphere (unit) #Data assimilation #Ensemble average #Ocean heat content #Atmospheric sciences #Ocean current #Geology #Meteorology #Physics #Statistics
  7. Satellite-supported flood forecasting in river networks: A real case study
    2015/02/09 by Javier García-Pintado, Javier García‐Pintado, David C. Mason +8 · 8 citations
    Earth and Planetary Sciences · Environmental Science · Mathematics · #Artificial intelligence #Computer science #Covariance #Data assimilation #Ensemble Kalman filter #Environmental science #Extended Kalman filter #Flood Risk Assessment and Management #Flood forecasting #Flood myth #Geography #Geology #Hydrology and Watershed Management Studies #Kalman filter #Machine learning #Mathematics #Meteorological Phenomena and Simulations #Meteorology #Remote sensing #Spurious relationship #Statistics
  8. CryoSat‐2 estimates of Arctic sea ice thickness and volume
    2013/02/20 by Seymour W. Laxon, Katharine Giles, A. Ridout +12 · 2 citations
    Earth and Planetary Sciences · #Arctic #Arctic and Antarctic ice dynamics #Arctic ice pack #Climate change and permafrost #Climatology #Cryospheric studies and observations #Data assimilation #Environmental science #Geography #Geology #Meteorology #Oceanography #Physical geography #Satellite #Sea ice #The arctic #Volume (thermodynamics)
  9. Evaluation of remotely sensed and modelled soil moisture products using global ground-based in situ observations
    2011/12/22 by Clement Albergel, Clément Albergel, Patricia de Rosnay +8 · 1 citation
    Earth and Planetary Sciences · Environmental Science · #Atmospheric sciences #Climate change and permafrost #Data assimilation #Environmental science #Geology #Ground truth #Meteorology #Moisture #Precipitation Measurement and Analysis #Remote sensing #Satellite #Scatterometer #Soil Moisture and Remote Sensing #Water content
  10. Soil moisture estimation through ASCAT and AMSR-E sensors: An intercomparison and validation study across Europe
    2011/08/31 by L. Brocca, Luca Brocca, S. Hasenauer +21 · 2 citations
    Earth and Planetary Sciences · Engineering · Environmental Science · #Data assimilation #Environmental science #Geography #Geology #Meteorology #Precipitation Measurement and Analysis #Radiometer #Remote sensing #Satellite #Scatterometer #Soil Moisture and Remote Sensing #Soil and Unsaturated Flow #Water content #Wind speed
  11. Collaboration of the Weather and Climate Communities to Advance Subseasonal-to-Seasonal Prediction
    2010/05/04 by Gilbert Brunet, Melvyn A. Shapiro, Melvyn Shapiro +20 · 5 citations
    Earth and Planetary Sciences · Environmental Science · #Climate change #Climate model #Climate variability and models #Climatology #Data assimilation #Downscaling #Earth system science #Environmental science #Extratropical cyclone #Forecast skill #Geography #Mesoscale meteorology #Meteorological Phenomena and Simulations #Meteorology #Numerical weather prediction #Oceanographic and Atmospheric Processes #Precipitation #Underpinning #Weather forecasting #Weather prediction
  12. A Bayesian Algorithm for Reconstructing Climate Anomalies in Space and Time. Part II: Comparison with the Regularized Expectation–Maximization Algorithm
    2009/11/24 by Martin P. Tingley, Peter Huybers · 3 citations
    Environmental Science · Earth and Planetary Sciences · Mathematics · #Climate variability and models #Tree-ring climate responses #Plant Water Relations and Carbon Dynamics #Covariance #Algorithm #Bayesian probability #Data assimilation #Field (mathematics) #Computer science #Series (stratigraphy) #Multivariate statistics #Mathematics #Statistics #Meteorology #Geology
  13. Application of Data Assimilation Method for Predicting Solar Cycles
    2008/07/31 by I. N. Kitiashvili, Irina Kitiashvili, A. G. Kosovichev +1 · 1 citation
    Computer Science · Earth and Planetary Sciences · Mathematics · Physics and Astronomy · #Climatology #Data assimilation #Dynamo #Dynamo theory #Ensemble Kalman filter #Environmental science #Extended Kalman filter #Geology #Geophysics and Gravity Measurements #Kalman filter #Magnetic field #Magnetic helicity #Mathematics #Meteorology #Physics #Solar Radiation and Photovoltaics #Solar and Space Plasma Dynamics #Solar cycle #Solar dynamo #Solar wind #Statistical physics #Statistics #Sunspot #astro-ph
  14. Evaluation of proxy-based millennial reconstruction methods
    2007/12/19 by Terry C. K. Lee, Francis W. Zwiers, Min Tsao · 7 citations
    Earth and Planetary Sciences · Environmental Science · #Artificial intelligence #Climate change #Climate variability and models #Climatology #Computer science #Data assimilation #Environmental science #Forcing (mathematics) #Geography #Geology #Kalman filter #Machine learning #Meteorology #Paleoclimatology #Plant Water Relations and Carbon Dynamics #Proxy (statistics) #Tree-ring climate responses
  15. The role of video imagery in predicting daily to monthly coastal evolution
    2007/04/21 by M.W.J Smit, M.W.J. Smit, S.G.J. Aarninkhof +18 · 1 citation
    Earth and Planetary Sciences · Environmental Science · #Bathymetry #Beach morphodynamics #Cartography #Coastal and Marine Dynamics #Coastal wetland ecosystem dynamics #Computer science #Data assimilation #Data collection #Environmental science #Extrapolation #Geography #Geology #Meteorology #Oceanography #Predictability #Scale (ratio) #Sediment #Sediment transport #Statistics #Tropical and Extratropical Cyclones Research
  16. The Global Land Data Assimilation System
    2004/03/01 by M. Rodell, Matthew Rodell, Paul R. Houser +21 · 97 citations
    Earth and Planetary Sciences · Environmental Science · #Assimilation (phonology) #Climate change #Climate change and permafrost #Climate model #Climatology #Computer science #Cryospheric studies and observations #Data assimilation #Environmental science #Forcing (mathematics) #Geography #Geology #Hydrometeorology #Meteorology #Precipitation #Remote sensing #Satellite #Soil Moisture and Remote Sensing
  17. NCEP–DOE AMIP-II Reanalysis (R-2)
    2002/11/01 by Masao Kanamitsu, Wesley Ebisuzaki, Jack Woollen +6 · 106 citations
    Earth and Planetary Sciences · Environmental Science · #Atmospheric and Environmental Gas Dynamics #Climate variability and models #Climatology #Data assimilation #Environmental science #Geography #Geology #Geopotential #Geopotential height #Meteorological Phenomena and Simulations #Meteorology #Northern Hemisphere #Satellite