A5071969820- Meteorological Phenomena and Simulations
- Climate variability and models
- Tropical and Extratropical Cyclones Research
- Atmospheric chemistry and aerosols
- Atmospheric and Environmental Gas Dynamics
- Air Quality and Health Impacts
- Air Quality Monitoring and Forecasting
- Geophysics and Gravity Measurements
- Microplastics and Plastic Pollution
- Wind and Air Flow Studies
- Inertial Sensor and Navigation
- Precipitation Measurement and Analysis
- Infrared Target Detection Methodologies
- Oceanographic and Atmospheric Processes
- Atmospheric aerosols and clouds
- Nanoparticles: synthesis and applications
- Mycorrhizal Fungi and Plant Interactions
- Seismic Imaging and Inversion Techniques
- Genetics, Aging, and Longevity in Model Organisms
- Recycling and Waste Management Techniques
- Graphene and Nanomaterials Applications
- Ocean Waves and Remote Sensing
- Target Tracking and Data Fusion in Sensor Networks
- Tree-ring climate responses
- Satellite Image Processing and Photogrammetry
Nanjing University
2016-2024
China Academy of Launch Vehicle Technology
2024
East China Normal University
2009-2023
Donghua University
2023
Peking University
2023
Ningxia Medical University
2023
Peking University First Hospital
2023
Tibet Autonomous Region People's Hospital
2023
South China Normal University
2019-2022
Yunnan University
2019
(Nano)microplastics induce neurotoxicity and oxidative damage.
Marine plastic pollution poses a potential threat to the ecosystem, but sources and their magnitudes remain largely unclear. Existing bottom-up emission inventories vary among studies for two three orders of (OMs). Here, we adopt top-down approach that uses observed dataset sea surface concentrations an ensemble ocean transport models reduce uncertainty global discharge. The optimal estimation emissions in this study varies about 1.5 OMs: 0.70 (0.13-3.8 as 95% confidence interval) million...
Abstract. An ensemble Kalman filter data assimilation (DA) system has been developed to improve air quality forecasts using surface measurements of PM10, PM2.5, SO2, NO2, O3, and CO together with an online regional chemical transport model, WRF-Chem (Weather Research Forecasting Chemistry). This DA was applied simultaneously adjust the initial conditions (ICs) emission inputs species affecting concentrations during extreme haze episode that occurred in early October 2014 over East Asia....
Nanomaterials of graphene and its derivatives have been widely applied in recent years, but whose impacts on the environment health are still not well understood. In present study, potential adverse effects graphite (G), oxide nanoplatelets (GO) quantum dots (GQDs) motor nervous system were investigated using nematode Caenorhabditis elegans as assay system. After being characterized TEM, SEM, XPS PLE, three nanomaterials chronically exposed to C. for 6 days. total, 50-100 mg l-1 GO caused a...
Abstract Localization is a method for reducing the impact of sampling errors in ensemble Kalman filters. Here, regression coefficient, or gain, relating increments observed quantity y to state variable x multiplied by real number α defined as localization. observations on model variables required good performance when applying data assimilation large atmospheric and oceanic problems. also improves idealized low-order applications. An algorithm that computes localization from output an...
Abstract Experiments using the National Oceanic and Atmospheric Administration Finite‐Volume Cubed‐Sphere Dynamical Core Global Forecasting System (FV3GFS) reveal that four‐dimensional ensemble‐variational method (4DEnVAR) performs similarly to an ensemble Kalman filter (EnKF) when no radiance observations are assimilated, but 4DEnVAR is superior EnKF assimilated. The hypothesis for cause of differences between difference in vertical localization, since integral uses model space localization...
Organophosphate flame retardants (PFRs) are a new class of retardants. The health risks PFRs have received attention recently. However, little is known about the potential toxicity on nervous system. Herein, we evaluated neurotoxic effects two typical PFRs, tris(2-chloroethyl) phosphate (TCEP) and tris(2-chloropropyl) (TCPP), using
To ameliorate suboptimality in ensemble data assimilation, methods have been introduced that involve expanding the size. Such expansions can incorporate model space covariance localization and/or estimates of climatological or error covariances. Model vertical overcomes problematic aspects ensemble-based satellite assimilation. In case transform Kalman filter (ETKF), expanded size associated with would also enable simultaneous update entire columns variables from hyperspectral and...
Little attention has been paid to the combined use of arbuscular mycorrhizal fungus (AMF) and steel slag (SS) for ameliorating heavy metal polluted soils. A greenhouse pot experiment was conducted study effects SS AMF−Funneliformis mosseae (Fm), Glomus versiforme (Gv) Rhizophagus intraradices (Ri) on plant growth Cd, Pb uptake by maize grown in soils added with 5 mg Cd kg−1 300 soil. The usage AMF (AMF + SS) promoted growth, Gv had most obvious effect. Meanwhile, single addition decreased...
Objectives: As fall events and injuries have become a growing public health problem in older patients the causes of falls are complex, there is an emerging need to identify risk drug-induced falls. Methods: To mine analyze signals provide evidence for drug safety. The FDA Adverse Event Reporting System was used collect among patients. Disproportionality analyses odds ratio (ROR) proportional reported were performed detect adverse effects signal. Results: A total 208,849 reports (34,840 1,898...
© 2023 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses). This article is licensed under a Creative Commons Attribution 4.0 license (http://creativecommons.org/licenses/by/4.0/). Corresponding author: Arianna Valmassoi, avalmass@uni-bonn.de
Abstract For Paleoclimate data assimilation (PDA), a hybrid gain analog offline ensemble Kalman filter (HGAOEnKF) is proposed. It keeps the benefits of (AOEnKF) that constructs ensembles from existing climate simulations with joint information proxies. The can provide more accurate prior mean and “flow‐dependent” error covariances than randomly sampled ensembles. HGAOEnKF further incorporates static better capture large‐scale correlations mitigate sampling errors sample covariances, through...
Forecast errors of numerical weather prediction consist model and the growth initial condition errors, while is often optimized based on short-term forecasts. Thus it difficult to untangle error error, but essential infer not just for also data assimilation (DA). A hybrid deep learning (DL) DA method proposed here, aiming correct errors. It uses a convolutional neural network (CNN) extract characteristics conditions forecast then provides estimations The CNN-based estimation can consider...
An online paleoclimate data assimilation (PDA) that utilizes climate forecasts from a deep learning-based network (NET) along with of proxies to reconstruct surface air temperature, is investigated here. Trained on ensemble simulations the Community Earth System Model-Last Millennium Ensemble, NET has nonlinear features gains better predictive skills compared linear inverse model (LIM). Thus, an alternative for PDA couple integrated hybrid Kalman filter (IHEnKF). Moreover, analog blending...
Abstract The analysis produced by the ensemble Kalman filter (EnKF) may be dynamically inconsistent and contain unbalanced gravity waves that are absent in real atmosphere. These imbalances can exacerbated covariance localization inflation. One strategy to combat imbalance analyses is incremental update (IAU), which uses dynamic model distribute increments over a time window. IAU has been widely used atmospheric oceanic applications. However, increment gradually introduced during integration...
Abstract The ensemble Kalman filter (EnKF) has been widely used in atmosphere, ocean, and land applications. observing network significantly developed, thus, observations with highly dense temporal resolutions have become available. To better extract information from observations, one straightforward strategy is to increase the assimilation frequency. However, more frequent may exacerbate model imbalance result degraded forecasts. combat caused by ensemble‐based data due sampling error...