Harmonizing models and observations: Data assimilation in Earth system science

ComDA: A common software for nonlinear and Non-Gaussian Land Data Assimilation

(2020) Feng Liu et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Deep learning and process understanding for data-driven Earth system science

(2019) Markus Reichstein et al.   NATURE

Advancing Research for Seamless Earth System Prediction

(2019) Paolo Ruti et al.   BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY

Identification of physical processes via combined data-driven and data-assimilation methods

(2019) Haibin Chang et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Development and Evaluation of an Ensemble‐Based Data Assimilation System for Regional Reanalysis Over the Tibetan Plateau and Surrounding Regions

(2019) Jie He et al.   Journal of Advances in Modeling Earth Systems

Major advances in studies of the physical geography and living environment of China during the past 70 years and future prospects

(2019) Fahu Chen et al.   Science China-Earth Sciences

The EU-FP7 ERA-CLIM2 Project Contribution to Advancing Science and Production of Earth System Climate Reanalyses

(2018) Roberto Buizza et al.   BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY

Nonlinear Least Squares En4DVar to 4DEnVar Methods for Data Assimilation: Formulation, Analysis, and Preliminary Evaluation

(2018) Xiangjun Tian et al.   MONTHLY WEATHER REVIEW

A reconstruction of global hydroclimate and dynamical variables over the Common Era

(2018) Nathan J. Steiger et al.   Scientific Data

The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2)

(2017) Ronald Gelaro et al.   JOURNAL OF CLIMATE

Assimilating multi-source data into land surface model to simultaneously improve estimations of soil moisture, soil temperature, and surface turbulent fluxes in irrigated fields

(2016) Chunlin Huang et al.   AGRICULTURAL AND FOREST METEOROLOGY

“Big Data Assimilation” Revolutionizing Severe Weather Prediction

(2016) Takemasa Miyoshi et al.   BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY

Paleoclimate data assimilation: Its motivation, progress and prospects

(2016) Miao Fang et al.   Science China-Earth Sciences

The last millennium climate reanalysis project: Framework and first results

(2016) Gregory J. Hakim et al.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES

Numerical Shake Prediction for Earthquake Early Warning: Data Assimilation, Real‐Time Shake Mapping, and Simulation of Wave Propagation

(2015) Mitsuyuki Hoshiba et al.   BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA

Comparison of the Atlantic meridional overturning circulation between 1960 and 2007 in six ocean reanalysis products

(2015) A. R. Karspeck et al.   CLIMATE DYNAMICS

The JRA-55 Reanalysis: General Specifications and Basic Characteristics

(2015) Shinya KOBAYASHI et al.   JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN

Probabilistic machine learning and artificial intelligence

(2015) Zoubin Ghahramani   NATURE

Assimilating passive microwave remote sensing data into a land surface model to improve the estimation of snow depth

(2014) Tao Che et al.   REMOTE SENSING OF ENVIRONMENT

Heihe Watershed Allied Telemetry Experimental Research (HiWATER): Scientific Objectives and Experimental Design

(2013) Xin Li et al.   BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY

Strengthening of the Pacific Equatorial Undercurrent in the SODA Reanalysis: Mechanisms, Ocean Dynamics, and Implications

(2013) Elizabeth J. Drenkard et al.   JOURNAL OF CLIMATE

Characterization, controlling, and reduction of uncertainties in the modeling and observation of land-surface systems

(2013) Xin Li   Science China-Earth Sciences

Robust Ensemble Filtering and Its Relation to Covariance Inflation in the Ensemble Kalman Filter

(2011) Xiaodong Luo et al.   MONTHLY WEATHER REVIEW

The Twentieth Century Reanalysis Project

(2011) G. P. Compo et al.   QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY

China land soil moisture EnKF data assimilation based on satellite remote sensing data

(2011) ChunXiang Shi et al.   Science China-Earth Sciences

A POD-based ensemble four-dimensional variational assimilation method

(2011) Xiangjun Tian et al.   TELLUS SERIES A-DYNAMIC METEOROLOGY AND OCEANOGRAPHY

An economical approach to four-dimensional variational data assimilation

(2010) Bin Wang et al.   ADVANCES IN ATMOSPHERIC SCIENCES

An Introduction to Data Assimilation and Predictability in Geomagnetism

(2010) Alexandre Fournier et al.   SPACE SCIENCE REVIEWS

Retrieving soil temperature profile by assimilating MODIS LST products with ensemble Kalman filter

(2007) C HUANG et al.   REMOTE SENSING OF ENVIRONMENT

An evaluation of the nonlinear/non-Gaussian filters for the sequential data assimilation

(2007) X HAN et al.   REMOTE SENSING OF ENVIRONMENT