A5027959760- Oceanographic and Atmospheric Processes
- Ocean Waves and Remote Sensing
- Marine and coastal ecosystems
- Geophysics and Gravity Measurements
- Tropical and Extratropical Cyclones Research
- Water Quality Monitoring and Analysis
- Statistical Methods and Bayesian Inference
- Monetary Policy and Economic Impact
- Water Quality Monitoring Technologies
- Atmospheric aerosols and clouds
- Arctic and Antarctic ice dynamics
- Statistical Distribution Estimation and Applications
- Financial Risk and Volatility Modeling
- Statistical Methods and Inference
- Market Dynamics and Volatility
- Atmospheric and Environmental Gas Dynamics
- Geological and Geophysical Studies
- Atmospheric Ozone and Climate
- Methane Hydrates and Related Phenomena
- Coastal and Marine Dynamics
- Atmospheric chemistry and aerosols
- Remote Sensing in Agriculture
- Economic theories and models
- Advanced Decision-Making Techniques
- Coral and Marine Ecosystems Studies
University of New Hampshire
2009-2024
Western University
2004-2024
Southwest University of Science and Technology
2024
The King's University
2005-2024
Global Science & Technology (United States)
2022-2024
Hohai University
2019-2023
Leiden University
2019-2022
Puyang Vocational and Technical College
2020
University of New Hampshire at Manchester
2007-2016
DecImmune Therapeutics (United States)
2013
Ocean colour is recognised as an Essential Climate Variable (ECV) by the Global Observing System (GCOS); and spectrally-resolved water-leaving radiances (or remote-sensing reflectances) in visible domain, chlorophyll-a concentration are identified required ECV products. Time series of products at global scale high spatial resolution, derived from ocean-colour data, key to studying dynamics phytoplankton seasonal inter-annual scales; their role marine biogeochemistry; carbon cycle; modulation...
Abstract The ocean color component of the Aerosol Robotic Network (AERONET-OC) has been implemented to support long-term satellite investigations through cross-site consistent and accurate measurements collected by autonomous radiometer systems deployed on offshore fixed platforms. AERONET-OC data products are normalized water-leaving radiances determined at various center wavelengths in visible near-infrared spectral regions. These complement atmospheric AERONET aerosol products, such as...
Abstract. The mean dynamic topography (MDT) is a key reference surface for altimetry. It needed the calculation of ocean absolute topography, and under geostrophic approximation, estimation currents. CNES-CLS solutions are calculated by merging information from altimeter data, GRACE, GOCE gravity field oceanographic in situ measurements (drifting buoy velocities, hydrological profiles). objective this paper to present newly updated CNES-CLS18 MDT. main improvement compared previous...
ABSTRACT Alpha-toxin (AT) is a major virulence factor in the disease pathogenesis of Staphylococcus aureus . We previously identified monoclonal antibody (MAb) against AT that reduced severity mouse dermonecrosis model. Here, we evaluate activity an affinity-optimized variant, LC10, model S. pneumonia. Passive immunization with LC10 increased survival and bacterial numbers lungs kidneys infected mice showed protection diverse clinical isolates. The -infected exhibited pneumonia, including...
An approach for selecting and blending bio-optical algorithms is demonstrated using an ocean color satellite image of the northwest Atlantic shelf. This based on a fuzzy logic classification scheme applied to satellite-derived water-leaving radiance data, it used select blend class-specific algorithms. Local in situ data were characterize optically-distinct water classes priori parameterize each class. Although can be any type (empirical or analytical), this demonstration involves...
This study documents a method for increasing the precision of satellite‐derived sea level measurements. Results are achieved using an enhanced three‐dimensional (3‐D) state bias (SSB) correction model derived from both Jason‐1 altimeter ocean observations (i.e., and wind) estimates mean wave period numerical model, NOAA's WAVEWATCH III. A multiyear evaluation data indicates surface height variance reduction 1.26 (±0.2) cm 2 in comparison to commonly applied two‐parameter SSB model. The...
The Lomax (Pareto II) distribution has found wide application in a variety of fields. We analyze the second-order bias maximum likelihood estimators its parameters for finite sample sizes, and show that this is positive. derive an analytic correction which reduces percentage these by one or two orders magnitude, while simultaneously reducing relative mean squared error. Our simulations performance very similar to parametric bootstrap based on linear function. Three examples with actual data...
The Aerosol Robotic Network (AERONET), originally developed to evaluate aerosol optical properties and validate satellite retrievals of those at various scales with measurements from worldwidedistributed autonomous Sun photometers [ Holben et al ., 1998],since January 2006 has been extended support marine remote sensing monitoring applications. This new network component, called AERONETOcean Color (AERONET‐OC), provides the additional capability measuring radiance emerging sea—the...
Many construction activities generate fine particles and severely threaten the physical health of workers. Although many dust control measures are implemented in industry, occupational risks still exist. In order to improve level, this study proposes a new method reducing pollution through reasonable site layout plan. This is based on field measurement diffusion law. The law can be fitted monitoring data. With law, average concentration exposed workers different layouts simulated. addition,...
Monitoring the cold and productive waters of Gulf Maine their interactions with nearby northwestern (NW) Atlantic shelf is important but challenging. Although remotely sensed sea surface temperature (SST), ocean color, level have become routine, much water exchange physics reflected in salinity fields. The recent invention satellite sensors, including Soil Moisture Active Passive (SMAP) radiometer, opens new prospects regional studies. However, local (SSS) retrieval challenging due to both...
Scratchpad memory (SPM), a fast on-chip SRAM managed by software, is widely used in embedded systems. This article introduces general-purpose compiler approach, called coloring, to assign static data aggregates, such as arrays and structs, program an SPM. The novelty of this approach lies partitioning the SPM into pseudo--register file (with interchangeable aliased registers), splitting live ranges aggregates create potential transfer statements between off-chip memory, finally, adapting...
We derive analytic expressions for the biases, to O(n−1), of maximum likelihood estimators parameters generalized Pareto distribution. Using these bias-correct in a selective manner is found be extremely effective terms bias reduction, and can also result small reduction relative mean squared error (MSE). In remaining bias, bias-corrected are somewhat less than their counterparts obtained by using parametric bootstrap correction. However, correction out-performs %MSE. It performs credibly...
In the Gulf of Maine (GoM), a network buoy hydrography measurements collected since 2001 provide subsurface salinity time series showing strong seasonal cycle and interannual variations that are both consistent with remote forcing by upstream advection. These long-term mooring data combined satellite altimeter estimates upper ocean current anomaly on adjoining Scotian Shelf (SS) in new attempt to use disparate regional observations as proxies detect evaluate water mass change inside from...
Abstract Quantifying how tides evolve with coupling between future sea level rise (SLR) and different coastline configurations is imperative for proposing appropriate coastal defense strategies. By using numerical models, we investigated tidal changes determined a realistic trend of SLR on the Jiangsu area adjacent Yellow Sea shelf. A notable decrease in range occurs northern shelf, tide increases mainly southern Tidal are both signs, while increase unidirectional. Thus, effect not additive...
Abstract A new model is provided for estimating maritime near-surface wind speeds (U10) from satellite altimeter backscatter data during high conditions. The built using coincident scatterometer and observations obtained QuikSCAT Jason orbit crossovers in 2008 2009. measurements are linear with inverse radar levels, a result close to the earlier speed of Young (1993). By design, only applies above 18 m s−1. Above this level, standard algorithms not reliable typically underestimate true...
Changing surface wave conditions alter the altimeter's estimate of mean sea level. Present‐day methods for correcting this bias are solely based on and wind information from altimeter. This paper tests use additional to develop several state correction models using a yearlong combination Jason‐1 data with field statistics generated WaveWatch3 ocean model hindcast. Each candidate is produced in same manner, nonparametric mapping between height anomaly estimates two correlatives. The first...
This paper aims to separate different snow regions over the terrestrial ice sheets based on their measured microwave signatures. It takes advantage of coregistered data from passive and active sensors Environmental Satellite (Envisat) directly derive a facies indicator in point-by-point basis. represents first attempt this kind exploiting nadir-viewing dual-frequency both altimeter radiometer sensors. The approach is clustering method. Such representation by means fewer clusters necessarily...
Satellite ocean radar data are used to assess the flat surface reflectivity for seawater at 36 GHz by comparison an existing model dielectric constant variation. Sea temperature (SST) is dominant control, and results indicate a 14% variation in normalized cross section (NRCS) Ka-band (35.75 GHz) that close agreement with prediction. Consistent obtained globally using near-nadir incidence from both SARAL AltiKa altimeter Global Precipitation Measurement mission rain radar. The observations...
This paper investigates the forecasting performance of non-linear time series SETAR model by using Canadian GDP data from 1965 to 2000. Besides within-sample fit, a standard linear ARIMA for same sample has also been generated comparative purposes. Two methods, one-step-ahead and multi-step-ahead forecasting, are compared each type model.