Abstract A modular extensible framework for conducting observing system simulation experiments (OSSEs) has been developed with the goals of 1) supporting decision-makers quantitative assessments proposed systems investments, 2) readiness new sensors, 3) enhancing collaboration across community by making most up-to-date OSSE components accessible, and 4) advancing theory practical application OSSEs. This first implementation, Community Global Package (CGOP), is short- to medium-range global...

Abstract Persistent heavy rainfall has a longer duration than short‐duration (SHR), with few studies on its extreme duration. Hourly gridded precipitation data from April to September during 2008–2019 were used define and study extremely persistent (EPHR) in southern China. It was found that the EPHR process asymmetric, growing time about 1 h shorter fading average. On average, accounts for less 40% of but nearly 3/4 events. There tendency occur near land‐sea boundaries mountainous areas....

This article describes a multisatellite validation study of precipitation from the microwave integrated retrieval system (MiRS). MiRS is variational algorithm designed to process passive measurements using common core software, and currently runs operationally on data ten different earth-observing satellites. The primary was conducted for polar-orbiting satellites SNPP, NOAA20 (both bearing ATMS instrument), MetopB, MetopC AMSUA MHS instruments) during period December 1, 2018 through 31,...

We present the development of a dynamic over-ocean radiometric bias correction for Microwave Integrated Retrieval System (MiRS) which accounts spatial, temporal, spectral, and angular dependence systematic differences between observed forward model-simulated radiances. The correction, utilizes deep neural network approach, is designed to incorporate on atmospheric surface conditions that impact model biases. approach collocations Suomi National Polar-orbiting Partnership/Advanced Technology...

Unsolicited bulk e-mail, also known as spam, has been an increasing problem for the e-mail society. This paper presents a new spam filtering strategy that 1) uses practical entropy coding technique, Huffman coding, to dynamically encode feature space of collections over time and, 2) applies online algorithm adaptively enhance learned concept data becomes available. The contributions this work include highly efficient in which input is radically reduced single-dimension vector, and adaptive...

Software defect prediction technology mainly relies on machine learning algorithm to learn the measurement data of existing software. There is some redundant in element software defect, which will reduce accuracy algorithm. This paper proposes a model based KPCA-SVM.First, dimension reduction pretreatment sets carried out.Then, using support vector machines for classification.The can be improved by keeping global features selection algorithm.Therefore, kernel principal component analysis...

Abstract The simulation of observations—a critical Community Global Observing System Simulation Experiment (OSSE) Package (CGOP) component—is validated first by a comparison error-free simulated observations for the 24 h at start nature run (NR) to real those sensors that operated during period. Sample results this validation are presented here existing low-Earth-orbiting (LEO) infrared (IR) and microwave (MW) brightness temperature (BT) observations, radio occultation (RO) bending angle...

We report on the development of a machine learning approach to improving sea surface temperature (SST) retrievals based satellite-based microwave channel measurements at frequencies higher than 23 GHz. The uses deep neural network (DNN) trained using Microwave Integrated Retrieval System physical as inputs and collocated European Centre for Medium-Range Weather Forecasts analyses training validation. DNN was designed characterize SST retrieval residual then used correct original retrieval....

Abstract Observing system simulation experiments (OSSEs) are used to simulate and assess the impacts of new observing systems planned for future or adopting techniques exploiting data forecasting. This study focuses on satellite global numerical weather prediction (NWP) systems. Since OSSEs based simulations nature observations, reliable results require that OSSE be validated. validation involves cycles assessment calibration individual components, as well complete system, with end goal...

Speaker separation in complex acoustic environment is one of challenging tasks speech separation. In practice, speakers are very often unmoving or moving slowly normal communication. this case, the spatial featur... | Find, read and cite all research you need on Tech Science Press

Using the relevant data of main corn futures contract China Dalian Commodity Exchange from 2018 to 2021, ARIMA model and LSTM long short-term memory neural network were established respectively, two models used predict daily closing price futures, compared with actual. The prediction results are evaluated using root mean square error (RMSE), average absolute (MAE), percentage (MAPE), capabilities compared. study found that predictive ability is better than model.

Abstract The National Oceanic and Atmospheric Administration (NOAA) Microwave Integrated Retrieval System (MiRS) algorithm has been producing retrieval products from NOAA‐20 Advanced Technology Sounder (ATMS) data since shortly after launch in late 2017. the Suomi Polar‐orbiting Partnership (SNPP) ATMS have similarly available 2012. Among routinely generated is Total Precipitable Water (TPW), based on vertical integral of MiRS retrieved water vapor profile. In this study, TPW subject an...

The Micro-Sized Microwave Atmospheric Satellite (MicroMAS-2) is a 12-channel passive microwave radiometer on CubeSat developed by Massachusetts Institute of Technology Lincoln Laboratory. MicroMAS-2 observations (1) enhance the current observing system capabilities and (2) mitigate potential loss some existing observations. Observing System Simulation Experiments (OSSEs) quantitatively estimate expected impact adding to global operational analysis forecast systems or data gap scenario....

The European Organisation for the Exploitation of Meteorological Satellites currently plans to launch Operational Satellite Second Generation A1 (Metop-SG A1) with microwave Sounder (MWS) instrument in 2023. MWS is a cross-track scanning passive radiometer measuring range from 23.8 229 GHz, which similar Advanced Technology Microwave (ATMS) on board satellites Joint Polar System (JPSS) program. To confirm capability operational retrieval systems before its deployment, prerequisites are have...

¿Pseudo congestion¿ phenomenon may happen in heterogeneous networks due to the asymmetry of service resource requirements. A new Call Admission Control (CAC) algorithm based on Inter-Link Load Balance (ILLB) is proposed avoid pseudo congestion as well improve network performance. This aims balance Uplink (UL) load and Downlink (DL) networks. Simulation results show that presented CAC can decrease blocking rate effectively compared with traditional (LB) algorithms.

<title>Abstract</title> Two total precipitable water (TPW) monthly time series derived from hourly analyses and 1:30 am pm (local time) analyses, respectively, European Centre for Medium-Range Weather Forecasts Reanalysis model version 5 (ERA5) data are practically identical. The TPW is increasing as surface lower tropospheric temperatures warming. Surface pressure rising well because of increased mass atmospheric carbon dioxide above the surface. close similarity trends using twice-daily...

The CubeSat Infrared Atmospheric Sounder (CIRAS) is a proposed small satellite IR sounder developed in response to the challenges of high cost and possible data gaps for currently operational hyperspectral sounders, such as Sounder, Sounding Interferometer, Crosstrack Sounder. A key objective CIRAS demonstrate technologies required low cost-to-orbit, sounder. was designed by National Aeronautics Space Administration’s Jet Propulsion Laboratory, with 625 channels measuring upwelling radiation...

Aiming at the problem that characteristic quantity is difficult to be extracted in group ballistic target track association under background of concentrated attack, bait and interference penetration, IMF matrix representing feature information from measurement data by using empirical mode decomposition (EMD) method. The vector measured obtained through singular value matrix, then degree between vectors calculated gray algorithm further judge whether tracks are associated or not according...

Observing system assessments were made for the Earth Nanosatellite-Microwave (EON-MW), a 12U CubeSat analog of Advanced Technology Microwave Sounder (ATMS). Since EON-MW channels and sensor specifications closely follow those ATMS, characteristics geophysical capabilities indicate that value information humidity (temperature) observations will be similar (very similar) to ATMS. Eight global observing simulation experiments (OSSEs) carried out evaluate several different constellations data...