scholarly journals Research and Optimization of Meteo-Particle Model for Wind Retrieval

Atmosphere ◽  
2021 ◽  
Vol 12 (9) ◽  
pp. 1114
Author(s):  
Jiahui Zhu ◽  
Haijiang Wang ◽  
Jing Li ◽  
Zili Xu
Keyword(s):  
Wind Field ◽  
Comprehensive Evaluation ◽  
Aviation Industry ◽  
Particle Model ◽  
Meteorological Model ◽  
Wind Retrieval ◽  
Extrapolation Algorithm ◽  
Atmospheric Sounding ◽  
Optimization Parameters ◽  
Field Information

As the aviation industry has entered a critical period of development, the demand for Automatic Dependent Surveillance Broadcast (ADS-B) technology is becoming increasingly urgent. Real-time detection of aviation wind field information and the early warning of wind field shear by atmospheric sounding system are two important factors related to the safe operation of aviation and airport. According to the advantages of ADS-B and Mode S data, this paper uses the Meteo-Particle (MP) model proposed by Sun et al., in their previous research to retrieve high-altitude wind field. Comparing the precision and accuracy of wind field retrieved results, and the optimization parameters of MP model suitable for meteorological model are further studied. To solve the problem of incomplete wind field coverage obtained by retrieval, an extrapolation algorithm of wind field is proposed. The results show that: (1) a comprehensive evaluation index is introduced, which can more effectively evaluate the comprehensive difference of wind field retrieval results in wind speed and direction. (2) The adaptability results of MP model in different periods and altitudes provide some reference for the research of other scholars. (3) The new parameter setting can improve the accuracy of the retrieved results, and the appropriate extrapolation of wind field fills in the blank part of aviation and meteorology.

scholarly journals Validation of NOAA CyGNSS Wind Speed Product with the CCMP Data

2021 ◽  
Vol 13 (9) ◽  
pp. 1832
Author(s):  
Xiaohui Li ◽  
Dongkai Yang ◽  
Jingsong Yang ◽  
Guoqi Han ◽  
Gang Zheng ◽  
...  
Keyword(s):  
Wind Speed ◽  
Comprehensive Evaluation ◽  
Surface Wind ◽  
Temporal Analysis ◽  
Satellite System ◽  
Wind Retrieval ◽  
Sea Surface Wind ◽  
Geophysical Model ◽  
Geophysical Model Function ◽  
Global Navigation Satellite

The National Aeronautics and Space Administration (NASA) Cyclone Global Navigation Satellite System (CyGNSS) mission was launched in December 2016, which can remotely sense sea surface wind with a relatively high spatio-temporal resolution for tracking tropical cyclones. In recent years, with the gradual development of the geophysical model function (GMF) for CyGNSS wind retrieval, different versions of CyGNSS Level 2 products have been released and their performance has gradually improved. This paper presents a comprehensive evaluation of CyGNSS wind product v1.1 produced by the National Oceanic and Atmospheric Administration (NOAA). The Cross-Calibrated Multi-Platform (CCMP) analysis wind (v02.0 and v02.1 near real time) products produced by Remote Sensing Systems (RSS) were used as the reference. Data pairs between the NOAA CyGNSS and RSS CCMP products were processed and evaluated by the bias and standard deviation SD. The CyGNSS dataset covers the period between May 2017 and December 2020. The statistical comparisons show that the bias and SD of CyGNSS relative to CCMP-nonzero collocations when the flag of CCMP winds is nonzero are –0.05 m/s and 1.19 m/s, respectively. The probability density function (PDF) of the CyGNSS winds coincides with that of CCMP-nonzero. Furthermore, the average monthly bias and SD show that CyGNSS wind is consistent and reliable generally. We found that negative deviation mainly appears at high latitudes in both hemispheres. Positive deviation appears in the China Sea, the Arabian Sea, and the west of Africa and South America. Spatial–temporal analysis demonstrates the geographical anomalies in the bias and SD of the CyGNSS winds, confirming that the wind speed bias shows a temporal dependency. The verification and comparison show that the remotely sensed wind speed measurements from NOAA CyGNSS wind product v1.1 are in good agreement with CCMP winds.

scholarly journals In-flight Wind Field Identification and Prediction of Parafoil Systems

2020 ◽  
Vol 10 (6) ◽  
pp. 1958
Author(s):  
Haitao Gao ◽  
Jin Tao ◽  
Matthias Dehmer ◽  
Frank Emmert-Streib ◽  
Qinglin Sun ◽  
...  
Keyword(s):  
Wind Field ◽  
Combination Method ◽  
Essential Factor ◽  
Wind Fields ◽  
System A ◽  
Wind Identification ◽  
Field Identification ◽  
Field Information ◽  
System Information ◽  
Low Altitude

The wind field is an essential factor that affects accurate homing and flare landing of parafoil systems. In order to obtain the ambient wind field during the descent of a parafoil system, a combination method of in-flight wind field identification and prediction is proposed. First, a wind identification method only using global position system information is derived based on the flight dynamics of parafoil systems. Then a wind field prediction model is constructed using the atmospheric dynamics, and the low-altitude wind field is predicted based on the identified wind field of high-altitude. Finally, simulations of wind field identification and prediction are conducted. The results demonstrate that the proposed method can identify the wind fields precisely and also predict the wind fields reasonably. This method can potentially be applied in practical parafoil systems to provide wind field information for homing tasks.

scholarly journals Comparison of Single Doppler and Multiple Doppler Wind Retrievals in Hurricane Matthew (2016)

2020 ◽  
Author(s):  
Ting-Yu Cha ◽  
Michael M. Bell
Keyword(s):  
Tropical Cyclone ◽  
Wind Field ◽  
Doppler Radar ◽  
Three Dimensional ◽  
Airborne Radar ◽  
Limited Information ◽  
Fourier Decomposition ◽  
Wind Retrieval ◽  
Advantages And Disadvantages ◽  
Doppler Analysis

Abstract. Hurricane Matthew (2016) was observed by the NEXRAD KAMX polarimetric radar and NOAA P-3 airborne radar near the coast of the southeastern United States for several hours, providing a novel opportunity to evaluate and compare single and multiple Doppler wind retrieval techniques for tropical cyclone flows. The generalized velocity track display (GVTD) technique can retrieve a subset of the wind field from a single ground-based Doppler radar under the assumption of nearly axisymmetric rotational wind, but is shown to have errors from aliasing of unresolved wind components. An improved technique that mitigates errors due to storm motion is derived in this study, although some spatial aliasing remains due to limited information content from the single Doppler measurements. A spline-based variational wind retrieval technique called SAMURAI can retrieve the full three-dimensional wind field from airborne radar fore-aft pseudo-dual Doppler scanning, but is shown to have errors due to temporal aliasing from the non-simultaneous Doppler measurements. A comparison between the two techniques shows that the axisymmetric tangential winds are generally comparable between the two techniques after the improvements to GVTD retrievals. Fourier decomposition of asymmetric kinematic and convective structure shows more discrepancies due to spatial and temporal aliasing in the retrievals. The advantages and disadvantages of each technique for studying tropical cyclone structure are discussed, and suggest that complementary information can be retrieved from both single and multiple Doppler retrievals. Future improvements to the asymmetric flow assumptions in single Doppler analysis and steady-state assumptions in pseudo-dual Doppler analysis are required to reconcile differences in retrieved tropical cyclone structure.

scholarly journals Modelagem do transporte de SO2 gerado em plataformas de produção da Bacia de Campos: RJ no período de inverno através do modelo OCD

2006 ◽  
Vol 29 (2) ◽  
pp. 13-29
Author(s):  
Lúcio Silva de Souza ◽  
Luiz Landau ◽  
Luiz Cláudio Gomes Pimentel
Keyword(s):  
Wind Field ◽  
Dispersion Model ◽  
Statistical Tests ◽  
Low Cost ◽  
Pollutant Dispersion ◽  
Computing System ◽  
Atmospheric Pollutant ◽  
Meteorological Model ◽  
Campos Basin ◽  
Petroleum Platforms

This work presents the implementation of a low cost computing system for the forecast of the atmospheric pollutant dispersion generated in petroleum platforms in Campos Basin - RJ. A mesoscale meteorological model was used to complement the necessary meteorological database for the use of the dispersion model. To this meteorological model, a series of statistical tests were applied seeking to compare the behavior of the model face to the monitored data available. The results indicated that the meteorological model represented satisfactorily the wind field on the area and that the values foreseen for the concentration of pollutant SO2 were always below the effective patterns however, they indicated that there is transport of pollutant from producing units to the continent.

scholarly journals An adaptation of the CO<sub>2</sub> slicing technique for the Infrared Atmospheric Sounding Interferometer to obtain the height of tropospheric volcanic ash clouds

2019 ◽  
Author(s):  
Isabelle A. Taylor ◽  
Elisa Carboni ◽  
Lucy J. Ventress ◽  
Tamsin A. Mather ◽  
Roy G. Grainger
Keyword(s):  
Volcanic Ash ◽  
Atmospheric Dispersion ◽  
Optimal Estimation ◽  
Volcanic Eruptions ◽  
Aviation Industry ◽  
Atmospheric Sounding ◽  
Estimation Scheme ◽  
Essential Input ◽  
Ash Cloud ◽  
Better Than

Abstract. Ash clouds are a geographically far reaching hazard associated with volcanic eruptions. To minimise the risk that these pose to aircraft and to limit disruption to the aviation industry, it is important to closely monitor the emission and atmospheric dispersion of these plumes. The altitude of the plume is an important consideration and is an essential input into many models of ash cloud propagation. CO2 slicing is an established technique for obtaining the top height of meteorological clouds and previous studies have demonstrated that there is potential for this method to be used for volcanic ash. In this study, the CO2 slicing technique has been adapted for volcanic ash and applied to spectra obtained from the Infrared Atmospheric Sounding Interferometer (IASI). Simulated ash spectra are first used to select the most appropriate channels and then demonstrate that the technique has merit for determining the altitude of the ash. These results indicate a strong match between the true heights and CO2 slicing output with a root mean square error (RMSE) of less than 800 m. Following this, the technique was applied to spectra obtained with IASI during the Eyjafjallajökull and Grimsvötn eruptions in 2010 and 2011 respectively, both of which emitted ash clouds into the troposphere, and which have been extensively studied with satellite imagery. The CO2 slicing results were compared against those from an optimal estimation scheme, also developed for IASI, and a satellite borne LiDAR is used for validation. Overall, the CO2 slicing tool performs better than the optimal estimation scheme. The CO2 slicing heights returned a RMSE value of 2.2 km when compared against the LiDAR. This is lower than the RMSE for the optimal estimation scheme (2.8 km). The CO2 slicing technique is a relatively fast tool and the results suggest that this method could be used to get a first approximation of the ash cloud height, potentially for use for hazard mitigation, or as an input for other retrieval techniques or models of ash cloud propagation.

scholarly journals Accelerated Battery Lifetime Simulations Using Adaptive Inter-Cycle Extrapolation Algorithm

2021 ◽  
Author(s):  
Valentin Sulzer ◽  
Peyman Mohtat ◽  
Sravan Pannala ◽  
Jason Siegel ◽  
Anna Stefanopoulou
Keyword(s):  
Degradation Mechanism ◽  
Model Development ◽  
Particle Model ◽  
Side Reactions ◽  
Algebraic Equations ◽  
Battery Lifetime ◽  
Extrapolation Algorithm ◽  
Speed Up ◽  
The Difference ◽  
Aging Phenomena

Abstract We propose algorithms to speed up physics-based battery lifetime simulations by one to two orders of magnitude compared to the state-of-the-art. First, we propose a reformulation of the Single Particle Model with side reactions to remove algebraic equations and hence reduce stiffness, with 3x speed-up in simulation time (intra-cycle reformulation). Second, we introduce an algorithm that makes use of the difference between the `fast' timescale of battery cycling and the `slow' timescale of battery degradation by adaptively selecting and simulating representative cycles, skipping other cycles, and hence requires fewer cycle simulations to simulate the entire lifetime (adaptive inter-cycle extrapolation). This algorithm is demonstrated with a specific degradation mechanism but can be applied to various models of aging phenomena. In the particular case study considered, simulations of the entire lifetime are performed in under 5 seconds. This opens the possibility for much faster and more accurate model development, testing, and comparison with experimental data.

scholarly journals Abnormal storm waves in the winter East/Japan Sea: generation process and hindcasting using an atmosphere-wind wave modelling system

2010 ◽  
Vol 10 (4) ◽  
pp. 773-792 ◽  
Author(s):  
H. S. Lee ◽  
K. O. Kim ◽  
T. Yamashita ◽  
T. Komaguchi ◽  
T. Mishima
Keyword(s):  
Wind Field ◽  
Wind Waves ◽  
Surface Wind ◽  
Japan Sea ◽  
Generation Process ◽  
Meteorological Model ◽  
Coupled Modelling ◽  
Storm Waves ◽  
Low Pressures ◽  
Modelling System

Abstract. Abnormal storm waves cause coastal disasters along the coasts of Korean Peninsula and Japan in the East/Japan Sea (EJS) in winter, arising due to developed low pressures during the East Asia winter monsoon. The generation of these abnormal storm waves during rough sea states were studied and hindcast using an atmosphere-wave coupled modelling system. Wind waves and swell due to developed low pressures were found to be the main components of abnormal storm waves. The meteorological conditions that generate these waves are classified into three patterns based on past literature that describes historical events as well as on numerical modelling. In hindcasting the abnormal storm waves, a bogussing scheme originally designed to simulate a tropical storm in a mesoscale meteorological model was introduced into the modelling system to enhance the resolution of developed low pressures. The modelling results with a bogussing scheme showed improvements in terms of resolved low pressure, surface wind field, and wave characteristics obtained with the wind field as an input.

scholarly journals Incorporation of Numerical Plume Rise Algorithms in the Lagrangian Particle Model LAPMOD and Validation against the Indianapolis and Kincaid Datasets

Atmosphere ◽  
2018 ◽  
Vol 9 (10) ◽  
pp. 404 ◽  
Author(s):  
Roberto Bellasio ◽  
Roberto Bianconi ◽  
Sonia Mosca ◽  
Paolo Zannetti
Keyword(s):  
Field Studies ◽  
Particle Model ◽  
Plume Rise ◽  
Lagrangian Particle ◽  
Meteorological Model ◽  
The Us ◽  
Us Epa ◽  
Meteorological Input ◽  
Lagrangian Particle Model ◽  
Tracer Experiments

This paper describes the methodology used to incorporate two numerical plume rise algorithms, one by Janicke and Janicke and another by Webster and Thomson, into the Lagrangian particle model LAPMOD. LAPMOD is fully interfaced with the diagnostic meteorological model CALMET, which is part of the widely used CALPUFF modeling system. LAPMOD can also use the meteorological input files produced with the AERMET meteorological processor of the US-EPA recommended model AERMOD. This paper outlines the theory behind the two plume rise algorithms and the details of their implementation in LAPMOD. The paper also provides the results of the evaluation of LAPMOD and its included plume rise algorithms against the well-known Indianapolis and Kincaid SF6 and SO2 field studies and tracer experiments. The performance of LAPMOD is successfully evaluated with the Model Evaluation Kit and compared with that of other air quality models.

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