A5100462638- Meteorological Phenomena and Simulations
- Atmospheric aerosols and clouds
- Tropical and Extratropical Cyclones Research
- Climate variability and models
- Remote Sensing and Land Use
- Ocean Waves and Remote Sensing
- Precipitation Measurement and Analysis
- Climate change and permafrost
- Arctic and Antarctic ice dynamics
- Advanced Algorithms and Applications
- Spectroscopy and Chemometric Analyses
- Geophysics and Gravity Measurements
- Pulsars and Gravitational Waves Research
- Cryospheric studies and observations
- Coastal and Marine Dynamics
- Oceanographic and Atmospheric Processes
- Landslides and related hazards
- Calibration and Measurement Techniques
- Atmospheric Ozone and Climate
- Soil and Unsaturated Flow
- Environmental and Agricultural Sciences
- Atmospheric and Environmental Gas Dynamics
- GNSS positioning and interference
- E-commerce and Technology Innovations
- Thermal Radiation and Cooling Technologies
Tianjin University of Technology
2024
Cooperative Institute for Climate and Satellites
2014-2022
University of Wisconsin–Madison
2014-2022
Yunnan University
2021
University of Science and Technology of China
2020
National Engineering Research Center for Information Technology in Agriculture
2018
Cooperative Institute for Mesoscale Meteorological Studies
2016
South China Agricultural University
2012-2014
Nanjing University of Information Science and Technology
2012
Beijing Normal University
2011
Abstract Satellite infrared (IR) sounder and imager measurements have become one of the main sources data used by assimilation systems to generate initial conditions for numerical weather prediction (NWP) models atmospheric analysis/reanalysis. This paper reviews development satellite IR in NWP recent years, especially all-sky observations. The major challenges future directions are outlined discussed.
Satellite measurements are an important source of global observations in support numerical weather prediction (NWP). The assimilation satellite radiances under clear skies has greatly improved NWP forecast scores. However, the application cloudy remains a significant challenge. In order to better assimilate skies, it is very detect any field-of-view (FOV) accurately and appropriately. Research progress on both FOV detection methodologies radiance techniques reviewed this paper. Overview...
Abstract An efficient 2D non‐linear numerical wave tank called LONGTANK has been developed based on a multi‐subdomain (MSD) approach combined with the conventional boundary element method (BEM). The aims at optimized matrix diagonalization, thus minimizing computing time and reserved storage. CPU per step in simulation is found to increase only linearly number of surface nodes, which makes highly especially when simulating long‐time evolutions space. Appropriate treatment special points...
Abstract Hyperspectral infrared (IR) sounders provide high vertical resolution atmospheric sounding information that can improve the forecast skill in numerical weather prediction. Commonly, only clear radiances are assimilated, because IR sounder observations highly affected by clouds. A cloud‐clearing (CC) technique, which removes cloud effects from an cloudy field of view (FOV) and derives cloud‐cleared (CCRs) or clear‐sky equivalent radiances, be alternative yet effective way to take...
Abstract Generally, only clear‐infrared spectral radiances (not affected by clouds) are assimilated in weather analysis systems. This is due to difficulties modeling cloudy as well observing their vertical structure from space. To take full advantage of the thermodynamic information advanced infrared (IR) sounder observations requires assimilating cloud‐contaminated regions. An optimal imager/sounder cloud‐clearing technique has been developed Cooperative Institute for Meteorological...
The growth in aerosol particles caused by water uptake during increasing ambient relative humidity alters the physical and chemical properties of aerosols, which then affects public health, atmospheric chemistry, Earth's climate. temporal resolution sensitivity current techniques are not sufficient to measure dynamics single nanoparticles. Additionally, specific time required for phase transition from solid aqueous has been measured. Here, we describe a label-free photonic microscope that...
Abstract Observations of dynamical information in the upper levels tropical cyclones at high spatiotemporal resolutions are rare but very important to analysis and prediction storm evolution landfall impacts. These observations now becoming routinely available from new generation geostationary weather satellites. Understanding optimizing utilization that numerical models is a vital step toward simulating cyclone behavior improving forecasts. The Advanced Baseline Imager (ABI) onboard GOES‐16...
Abstract Accurate cloud detection is very important for infrared (IR) radiance assimilation; improved could reduce contamination and hence improve the assimilation. Although operational numerical weather prediction (NWP) centers are using IR sounder data detection, collocated high spatial resolution imager help subpixel characterization. radiances with Atmospheric Infrared Sounder (AIRS)/Moderate Resolution Imaging Spectroradiometer (MODIS) were assimilated Hurricane Sandy (2012). Forecast...
Abstract Information about moisture distribution and transportation in the preconvection environment is very important for nowcasting forecasting severe weather events. The Advanced Himawari Imager (AHI) onboard Japanese Himawari‐8/‐9 provides high temporal spatial resolution information useful monitoring forecasting. Algorithms have been developed three‐layered precipitable water (LPW: surface to 0.9, 0.9–0.7, 0.7–0.3 sigma vertical coordinate) retrievals from AHI infrared band radiances...
Abstract In 2011, the National Oceanic and Atmospheric Administration (NOAA) began a cooperative initiative with academic community to help address vexing issue that has long been known as disconnection between operational research realms for weather forecasting data assimilation. The is gap, more exotically referred “valley of death,” efforts within broader NOAA’s activities, which are heavily driven by constraints. With stated goals leveraging benefit mission offering path operations...
Abstract An efficient radiative transfer model has been developed for hyperspectral infrared radiance simulation under both clear‐ and cloudy‐sky conditions. The IR cloudy (HIRTM) combines atmospheric transmittances due to molecular absorption cloud scattering from hydrometeors. analytical Jacobian methodology is also conditions, which needed assimilate radiances directly into numerical weather prediction models retrieve soundings properties simultaneously measurements. In comparing HIRTM...
Abstract Accurate cloud detection is one of the most important factors in satellite data assimilation due to uncertainties associated with properties and their impacts on satellite-simulated radiances. To enhance accuracy improve radiance for tropical cyclone (TC) forecasts, measurements from Advanced Microwave Sounding Unit-A (AMSU-A) board Aqua Technology Sounder (ATMS) are collocated high spatial resolution products Moderate Resolution Imaging Spectroradiometer (MODIS) Visible Infrared...
The advanced infrared (IR) and microwave (MW) sounding systems have been providing atmospheric information critical for nowcasting improving weather forecasts through data assimilation in numerical prediction. In recent years, IR MW sounder are being proposed to be onboard CubeSats that much more cost efficient than traditional satellite systems. An impact study using a regional Observing System Simulation Experiment on local severe storm (LSS) was carried out evaluate the alternative of...
Abstract There are a growing number of advanced imagers for geostationary meteorological satellites, which can provide water vapor radiance observations with high temporal and spatial resolutions. To assess the impact those imagers, assimilation experiments were conducted Advanced Baseline imager (ABI) on board Geostationary Operational Environmental Satellite‐16. The radiances from three absorption bands Satellite‐16 ABI assimilated through National Oceanic Atmospheric Administration...
The distribution of tropospheric moisture in the environment is highly associated with storm development. Therefore, it important to evaluate uncertainty fields from numerical weather prediction (NWP) models for better understanding and enhancing prediction. With water vapor absorption band radiance measurements advanced imagers onboard new generation geostationary satellites, possible quantitatively environmental NWP models. Three models—Global Forecast System (GFS), Unified Model (UM),...
Abstract Hyperspectral infrared (IR) sounders provide high vertical resolution atmospheric sounding information that can improve the forecast accuracy of numerical weather prediction (NWP) models. Due to challenges assimilating cloudy radiances, NWP centers usually assimilate only radiances are not affected by clouds. An imager based cloud‐clearing technique provides an alternative and effective way remove cloud effects from a partially field‐of‐view derive equivalent clear sky or...
Abstract High spectral resolution (or hyperspectral) infrared (IR) sounders onboard low earth orbiting satellites provide high vertical atmospheric information for numerical weather prediction (NWP) models. In contrast, imagers on geostationary (GEO) temporal and spatial which are important monitoring the moisture associated with severe systems, such as rapidly developing local storms (LSS). A hyperspectral IR sounder a satellite would four-dimensional temperature, moisture, wind profiles...
The canopy hyperspectral reflectance data and leaf water potential were recorded at tillering elongation stage of sugarcane. Statistic analysis method was conducted on the correlation between potential, combining visible light band (460 nm or 560 nm) infrared (860 960 1200 into vegetation indices RVI (ratio index) NDVI (normalized difference index), ratio linearly related to potential. Five single variables linear function models against established, results showed that five types had...
Abstract The cloud liquid/ice water path (LWP/IWP) can provide valuable information about the and precipitation. For first time, Gridpoint Statistical Interpolation (GSI) system is applied to examine impact of high spatial temporal resolution LWP IWP products derived from Advanced Baseline Imager (ABI) on new generation geostationary environmental satellites (GOES‐R series) in numerical weather prediction (NWP). To extend GSI's capability assimilate products, a pair observation operators...
The forecasts of local severe storms (LSS) are highly dependent on how well the pre-convection environment is characterized in numerical weather prediction (NWP) model analysis. usefulness frequently forecast updated. Therefore, data latency critical for assimilation into regional NWP models it to be able assimilate more within cut-off window. These low can obtained through direct broadcast sites and receiving systems. Observing system experiments (OSE) were performed study impact LSS...