scholarly journals Study of GPS Radiosonde observation system in Goa

MAUSAM ◽  
2021 ◽  
Vol 63 (2) ◽  
pp. 291-298
Author(s):  
S.M. METRI
Keyword(s):  
Navigation System ◽  
Air Pressure ◽  
Wind Data ◽  
Observation System ◽  
The Past ◽  
Radiosonde Observation ◽  
Gps Radiosonde

Meteorological Radiosonde in the past used to apply navigation system to rout to determine the upper air pressure, temperature, humidity and the wind data through Radars. In this paper GPS Radiosonde test has been recently introduced in IMD is studied. The observations taken from M2K2 Radiosonde have been discussed. GPS Radiosonde obtains wind data as well.

A Scene-Based Episodic Memory System for a Simulated Autonomous Creature

2013 ◽  
Vol 4 (1) ◽  
pp. 32-64 ◽  
Author(s):  
Elisa C. Castro ◽  
Ricardo R. Gudwin
Keyword(s):  
Episodic Memory ◽  
Navigation System ◽  
Cognitive Architecture ◽  
Human Memory ◽  
Memory Systems ◽  
Memory Module ◽  
The Past ◽  
3D Environment ◽  
Main Ideas

In this paper the authors present the development of a scene-based episodic memory module for the cognitive architecture controlling an autonomous virtual creature, in a simulated 3D environment. The scene-based episodic memory has the role of improving the creature’s navigation system, by evoking the objects to be considered in planning, according to episodic remembrance of earlier scenes testified by the creature where these objects were present in the past. They introduce the main background on human memory systems and episodic memory study, and provide the main ideas behind the experiment.

scholarly journals Forecast of the trend of heavy fog based on the VARIMAX model

2021 ◽  
Vol 257 ◽  
pp. 03013
Author(s):  
Boyang Peng ◽  
Yuchi Meng ◽  
Dapai Shi ◽  
Mingyu Dai ◽  
Hao Zhou ◽  
...  
Keyword(s):  
Wind Speed ◽  
Meteorological Factors ◽  
Air Pressure ◽  
Dew Point ◽  
Observation Data ◽  
Near Surface ◽  
Temperature Index ◽  
The Past ◽  
Visibility Index ◽  
Incorrect Data

This paper works out relationship between visibility and near-surface meteorological factors. The formation of heavy fog is affected by meteorological factors near the ground and fog in the past period. In this paper, we abstract and simplify the problem as a time series problem. First, the airport AWOS observation data is reprocessed, and some missing and incorrect data are supplemented and corrected. Then draw a distribution map of “Visibility-Near-surface Meteorological Factors” to intuitively grasp the correlation between them. Finally, model the classic VARIMAX to fit the mapping relationship between visibility and near-surface meteorological factors. The results show temperature has the greatest impact on visibility index, positively correlated with it; secondly, dew point temperature index negatively correlated with it. The results show that, with the temperature low and the humidity high, the water vapor in the atmosphere is more likely to condense into mist, which is not easy to dissipate, resulting in reduced visibility. The indicators related to air pressure and wind speed are positively correlated with visibility, indicating that the increase in air pressure and the increase in wind speed will promote the dissipation of heavy fog. Generally speaking, the MOR index fits better with near-surface meteorological factors.

scholarly journals Initial Assessment of the COSMIC-2/FORMOSAT-7 Neutral Atmosphere Data Quality in NESDIS/STAR Using In Situ and Satellite Data

2020 ◽  
Vol 12 (24) ◽  
pp. 4099
Author(s):  
Shu-Peng Ho ◽  
Xinjia Zhou ◽  
Xi Shao ◽  
Bin Zhang ◽  
Loknath Adhikari ◽  
...  
Keyword(s):  
Water Vapor ◽  
Data Quality ◽  
Signal To Noise Ratio ◽  
Initial Assessment ◽  
Observation System ◽  
Neutral Atmosphere ◽  
Satellite Mission ◽  
Radiosonde Observation ◽  
Satellite Applications ◽  
The Mean

A COSMIC-1/FORMOSAT-3 (Constellation Observing System for Meteorology, Ionosphere, and Climate-1 and Formosa Satellite Mission 3) follow-on mission, COSMIC-2/FORMOSAT-7, had been successfully launched into low-inclination orbits on 25 June 2019. COSMIC-2 has a significantly increased Signal-to-Noise ratio (SNR) compared to other Radio Occultation (RO) missions. This study summarized the initial assessment of COSMIC-2 data quality conducted by the NOAA (National Oceanic and Atmospheric Administration) Center for Satellite Applications and Research (STAR). We use validated data from other RO missions to quantify the stability of COSMIC-2. In addition, we use the Vaisala RS41 radiosonde observations to assess the accuracy and uncertainty of the COSMIC-2 neutral atmospheric profiles. RS41 is currently the most accurate radiosonde observation system. The COSMIC-2 SNR ranges from 200 v/v to about 2800 v/v. To see if the high SNR COSMIC-2 signals lead to better retrieval results, we separate the COSMIC-2–RS41 comparisons into different SNR groups (i.e., 0–500 v/v group, 500–1000 v/v group, 1000–1500 v/v group, 1500–2000 v/v group, and >2000 v/v group). In general, the COSMIC-2 data quality in terms of stability, precision, accuracy, and uncertainty of the accuracy is very compatible with those from COSMIC-1. Results show that the mean COSMIC-2–RS41 water vapor difference from surface to 5 km altitude for each SNR groups are equal to −1.34 g/kg (0–500 v/v), −1.17 g/kg (500–1000 v/v), −1.33 g/kg (1000–1500 v/v), −0.93 g/kg (1500–2000 v/v), and −1.52 g/kg (>2000 v/v). Except for the >2000 v/v group, the high SNR measurements from COSMIC-2 seem to improve the mean water vapor difference for the higher SNR group slightly (especially for the 1500–2000 v/v group) comparing with those from lower SNR groups.

scholarly journals Unmanned navigation system

2021 ◽  
Vol 2061 (1) ◽  
pp. 012119
Author(s):  
A K Aleksanyan
Keyword(s):  
Navigation System ◽  
Swot Analysis ◽  
Developed Countries ◽  
Legal Regulation ◽  
Educational Institutions ◽  
Limiting Factor ◽  
Highly Qualified ◽  
The Past ◽  
Internet Resources ◽  
Qualified Personnel

Abstract After Lockdown - 2020, the unmanned navigation system began to be more actively developed. In a pandemic, it became clear that the modernization of ships, namely the automation of most operations, would reduce the size of the crew. This will reduce the number of jobs; on the other hand, this will ensure safety, which, today, is a priority. In addition, the introduction of a system of unmanned navigation will require a revision of the professions of seafarers, there will be a demand for highly qualified personnel, which will contribute to the emergence of new specialties in higher educational institutions. The sources for writing the article were the regulatory legal acts regulating the activities of the Maritime Law and the data of companies working in this area, taken from open Internet resources over the past 5 years. The article provides an overview of the unmanned navigation system market as a separate segment of the shipbuilding market that has significant prospects. A SWOT analysis of the implementation of the unmanned navigation system was carried out, the opinions of independent experts were considered. During the study, it can be argued that all economically developed countries are trying to switch to a system of unmanned navigation, but the main limiting factor for all is the issues of legal regulation.

Life Pattern Estimation of the Elderly Based on Accumulated Activity Data and its Application to Anomaly Detection

2012 ◽  
Vol 24 (5) ◽  
pp. 754-765 ◽  
Author(s):  
Taketoshi Mori ◽  
◽  
Takahito Ishino ◽  
Hiroshi Noguchi ◽  
Tomomasa Sato ◽  
...  
Keyword(s):  
Anomaly Detection ◽  
Estimation Method ◽  
Estimation Algorithm ◽  
Detection Algorithm ◽  
Observation System ◽  
Activity Data ◽  
The Past ◽  
Life Pattern ◽  
Anomaly Score ◽  
Operation Center

A life pattern estimation method and its application to anomaly detection of a single elderly are proposed. Our observation system deploys some pyroelectric sensors in an elderly’s house and monitors and measures activities 24 hours a day to grasp residents’ life patterns. Activity data is successively forwarded to the nurse operation center and displayed to nurses at the center. The system reports status related to anomalies together with the basic activities of elderly residents to the nurses, who decide whether recent accumulated data expresses an anomaly or not based on suggestions from the system. In the system, residents whose lifestyle features resemble each other are categorized into the same group. Anomalies that occurred in the past are shared in the group and utilized in an anomaly detection algorithm. This algorithm is based on an “anomaly score.” The score is figured out by utilizing the activeness of the house’s elderly resident. This activeness is approximately proportional to the frequency of sensor response within one minute. The anomaly score is calculated from the difference between activeness in the present and in the past averaged over the long term. The score is thus positive if activeness in the present is greater than the average in the past, and the score is negative if the value in the present is less than average. If the score exceeds a certain threshold, it means that an anomaly event has occurred. An activity estimation algorithm is also developed that estimates the basic activities of residents such as getting up in the morning, or going out. The estimation is also shown to nurses with the anomaly score of residents. Nurses can understand the condition of elderly residents’ health by combining the information and planning the most appropriate way to respond.

scholarly journals Earth Observation System Plans of India

1990 ◽  
Vol 123 ◽  
pp. 531-531
Author(s):  
M.G. Chandrashekar ◽  
V. Jayaramn ◽  
C.B.S. Dutt ◽  
B. Manikiam
Keyword(s):  
Observation System ◽  
Spatial And Temporal Scales ◽  
Geosynchronous Satellite ◽  
Location Data ◽  
The Past ◽  
Atmosphere System ◽  
Continuous Basis ◽  
Earth Observation System ◽  
Meteorological Observations ◽  
Reliable Basis

AbstractOperational methodologies are available to retrieve several parameters related to the land, air and oceans from satellite data which is capable of providing well calibrated data/observations over large areas giving a synoptic view on a repetitive and reliable basis. The capability of satellites to provide data in various spectral, spatial and temporal scales is of great advantage in studying the dynamic aspects of earth atmosphere system. The present day capabilities of satellites include spatial resolutions ranging from 10 m and above and repetition of a few hours (geosynchronous Satellite) to few days. Higher spatial resolutions and all weather capabilities (through microwave sensing) are becoming available in the immediate future. Towards utilising the potentials of space based systems, India has been operating INSAT series of satellite for weather monitoring and 1RS series of satellites for natural resources monitoring/management. The INSAT is a series of geostationary satellites stationed over Indian region to provide meteorological observations on a continuous basis in visible and thermal regions in addition to providing services for disaster warning related to Cyclones and remote location data collection platforms. The space based observations on meteorology over the past 5 years is proving to be a valuable data base for studies related to monsoon dynamics and tropical cyclones.

scholarly journals Pressure-forced meteotsunami occurrences in the eastern Yellow Sea over the past decade (2010–2019): monitoring guidelines

2021 ◽  
Author(s):  
Myung‑Seok Kim ◽  
Seung‑Buhm Woo ◽  
Hyunmin Eom ◽  
Sung Hyup You
Keyword(s):  
Sea Level ◽  
Monitoring System ◽  
Yellow Sea ◽  
Tide Gauge ◽  
The Yellow Sea ◽  
Occurrence Rate ◽  
Risk Level ◽  
Observation System ◽  
Pressure Disturbance ◽  
The Past

Abstract. The eastern Yellow Sea meteotsunami occurrences between 2010 and 2019 and guidelines derived using favourable conditions of pressure disturbance (10 min rate of air pressure change) for meteotsunami generation are described. A total of 34 meteotsunami events over the past decade can be classified based on a current meteotsunami monitoring and observation system. 1 min intervals of mean sea level pressure and sea level observations from 89 meteorological stations and 16 tide gauges are analysed. Most of the classified meteotsunami events (76 %, 26/34) in the eastern Yellow Sea are found to be between February and June during the winter-to-summer transition, which shows a strong seasonal trend. The meteotsunami occurrences are spatially frequent at the DaeHeuksando (DH) tide gauge, known as a beacon tide gauge of the observation system. It appears that the specific characteristics (intensity, occurrence rate, and propagation) of the pressure disturbance are in common on extreme meteotsunami events that are classified by applying the hazardous meteotsunami conditions among the 34 events. For a risk level assessment of the eastern Yellow Sea meteotsunami occurrences, favourable conditions of the pressure disturbance for meteotsunami generation are utilized. Overall, this study can provide useful and practical guidelines such as operation period, potential hot spot, and risk level to monitoring system operators when operating the monitoring system of the Yellow Sea.

scholarly journals Star tracker and lidar based night-time planetary navigation

2021 ◽  
Author(s):  
Ilija Jovanovic
Keyword(s):  
Navigation System ◽  
Star Tracker ◽  
System Testing ◽  
Night Time ◽  
The Past ◽  
True Motion ◽  
Global Positioning ◽  
Target Performance

Planetary navigation on planets with no global positioning infrastructure is a challenge which has been overcome in the past by using day-light dependent sensors. This thesis develops a platform to test a star tracker and LIDAR based night-time navigation system. Testing of the system confirmed its feasibility despite not meeting target performance. Global position was acquired to within five kilometres using the star tracker and refined to within 23% of true motion for a 13 m path using the LIDAR.

Hurricanes, Climate, and Statistics

2013 ◽  
Author(s):  
James B. Elsner ◽  
Thomas H. Jagger
Keyword(s):  
High Temperature ◽  
Thermal Energy ◽  
Weather Conditions ◽  
Short Description ◽  
Tropical Storm ◽  
Air Pressure ◽  
Tropical Ocean ◽  
The Past ◽  
Strong Winds ◽  
Lower Temperature

This book is about hurricanes, climate, and statistics. These topics may not seem related. Hurricanes are violent winds and flooding rains, climate is about weather conditions from the past, and statistics is about numbers. But what if you wanted to estimate the probability of winds exceeding 60 ms−1 in Florida next year. The answer involves all three, hurricanes (fastest winds), climate (weather of the past), and statistics (probability). This book teaches you how to answer these questions in a rigorous and scientific way. We begin here with a short description of the topics and a few notes on what this book is about. A hurricane is an area of low air pressure over the warm tropical ocean. The low pressure creates showers and thunderstorms that start the winds rotating. The rotation helps to develop new thunderstorms. A tropical storm forms when the rotating winds exceed 17 ms−1 and a hurricane when they exceed 33 ms−1. Once formed, the winds continue to blow despite friction by an in-up-and-out circulation that imports heat at high temperature from the ocean and exports heat at lower temperature in the upper troposphere (near 16 km), which is similar to the way a steam engine converts thermal energy to mechanical motion. In short, a hurricane is powered by moisture and heat. Strong winds are a hurricane’s defining characteristic. Wind is caused by the change in air pressure between two locations. In the center of a hurricane, the air pressure, which is the weight of a column of air from the surface to the top of the atmosphere, is quite low compared with the air pressure outside the hurricane. This difference causes the air to move from the outside inward toward the center. By a combination of friction as the air rubs on the ocean below and the spin of the earth as it rotates on its axis, the air does not move directly inward but rather spirals in a counter clockwise direction toward the region of lowest pressure.

scholarly journals A CRITICAL ESTIMATION OF DATA ON EXTREME WINDS IN LITHUANIA VĖJO KELIAMA ŽALA APLINKAI: KRITINIS DUOMENŲ APIE EKSTREMALIUS VĖJUS LIETUVOJE VERTINIMAS / ПОВРЕЖДЕНИЯ ОКРУЖАЮЩЕЙ СРЕДЫ, ВЫЗЫВАЕМЫЕ ВЕТРОМ: КРИТИЧЕСКАЯ ОЦЕНКА ДАННЫХ ПО ЭКСТРЕМАЛЬНЫМ ВЕТРАМ В ЛИТВЕ

2011 ◽  
Vol 19 (2) ◽  
pp. 178-188 ◽  
Author(s):  
Egidijus R. Vaidogas ◽  
Virmantas Juocevičius
Keyword(s):  
Wind Data ◽  
Data Set ◽  
Wind Speeds ◽  
The Past ◽  
Hurricane Wind ◽  
Average Wind ◽  
Extreme Wind ◽  
Separate Treatment ◽  
Basic Reference ◽  
Extreme Winds

An assessment of data on wind storms recorded in Lithuania during the past 48 years is presented. Records of storms with the average wind speeds of at least 30 m/s are compiled into one data set and presented in the paper. Reliability and meteorological homogeneity of wind storm data is assessed. The extreme wind data is estimated in relation to an assessment of damage to the built environment. An exceedance of basic reference wind speeds and design wind speeds specified in Lithuanian loading code by extreme winds (large cyclonic storms) is detected. The annual exceedance frequency was found to be considerably higher than the frequency of once per fifty years declared in the code. The exceedance was also found to be relatively dangerous in terms of magnitude. It is suggested to analyze wind data by a separate treatment of fastest annual winds and hurricane winds. Two hurricane wind regions are proposed for the Lithuanian territory. Basic reference wind speeds for these regions are calculated by applying the approach of partial duration series of extreme wind records. The regionalisation of hurricane-prone parts of Lithuania led to a compilation of two small-size statistical samples of hurricane wind speeds, which can be applied to an assessment of risk posed by hurricanes. Santrauka Nagrinėjami duomenys apie vėjo audras, kilusias Lietuvoje per pastaruosius 48 metus. Pateikiama duomenų apie vėjo audras, kurių vidutinis vėjo greitis buvo ne mažesnis kaip 30 m/s. Įvertinamas duomenų patikimumas ir meteorologinis homogeniškumas. Duomenys apie vėjo audras analizuojami vertinant tokių audrų galią sukelti užstatytos aplinkos pažeidimus. Nustatyta, kad ekstremalūs vėjai (didelės cikloninės audros) daugelį kartų viršijo bazinius atskaitinius ir projektinius vėjo greičius, apibrėžtus anksčiau Lietuvoje galiojusių ir dabar galiojančių projektavimo normų. Atskaitinių ir projektinių vėjo greičių viršijimai daug dažnesni nei normose nustatomas vieno karto per 50 metų dažnis. Atskaitinių ir projektinių vėjo greičių viršijimas taip pat yra gana pavojingas. Siūloma ekstremalius vėjo greičius analizuoti atskirai nagrinėjant metinius vėjo greičio maksimumus ir duomenis apie uraganinius vėjus. Lietuvos teritoriją siūloma dalyti į tris zonas, iš kurių dvi turėtų būti laikomos uraganinių vėjų zonomis. Baziniai atskaitiniai vėjo greičiai šiose zonose skaičiuojami taikant dalinės trukmės sekų metodiką. Uraganinių vėjų zonųįvedimas leido suformuoti dvi mažo dydžio statistines imtis, kurių elementai yra uraganinio vėjo greičio matavimų duomenys. Šias imtis siūloma taikyti vertinant uraganų sukeliamą riziką. Резюме Рассматривается оценка повреждений, которые могут быть причинены природной и застроенной среде экстремальными ветрами. Внимание сосредотачивается на ветровых штормах, наблюдавшихся в Литве за последние 48 лет. В статье представлены данные о штормах со средней скоростью ветра не менее 30 м/с. Оценивается надежность и метеорологическая однородность данных по экстремальным ветрам. Данные анализируются в свете их применения к оценке потенциальных повреждений застроенной среды. Установлено, что экстремальные ветра, создаваемые большими циклонами, во много раз превышали нормативные и расчетные значения скоростей ветра, установленные нормами проектирования, применявшимися в предыдущие годы и применяемыми в Литве в настоящее время. Частота превышения нормативных и расчетных значений значительно превышает декларируемую настоящими нормами одноразовую частоту за 50 лет. Степень превышения нормативных и расчетных значений скорости ветра также является достаточно опасной. Предлагается раздельный анализ данных по годовым максимумам скоростей ветра и данных по ураганам. Вводятся три зоны территории Литвы, две из которых следует рассматривать как зоны возможных ураганов. Нормативные значения скорости ветра в этих зонах определяются при помощи метода последовательностей частичной продолжительности. Введение зон ураганных ветров позволило сформировать две статистические выборки, включающие в себя относительно небольшое количество ураганных скоростей ветра. Предлагается использовать эти выборки для оценки риска, создаваемого ураганами.

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