Advances in Space Research最新文献

Preface: Lunar environment effects resulting from human exploration and occupation of the Moon 前言人类探索和占领月球对月球环境的影响

IF 2.8 3区地球科学

Advances in Space Research Pub Date : 2024-10-16 DOI: 10.1016/j.asr.2024.10.027

Rosemary M. Killen (Guest Editor)

引用次数: 0

Periodic orbits around 216-Kleopatra asteroid modelled by a dipole-segment 用偶极段模拟 216-Kleopatra 小行星周围的周期轨道

IF 2.8 3区地球科学

Advances in Space Research Pub Date : 2024-10-16 DOI: 10.1016/j.asr.2024.10.017

Alberto Abad , Antonio Elipe , Alessandra F.S. Ferreira

引用次数: 0

Corrigendum to “Np-Fe0 addition affects the microstructure and composition of the microwave-sintered lunar soil simulant CLRS-2” [Adv. Space Res. 73(1) (2024) 945–957] 对 "Np-Fe0添加影响微波烧结月球土壤模拟物CLRS-2的微观结构和成分 "的更正[Adv. Space Res. 73(1) (2024) 945-957]

IF 2.8 3区地球科学

Advances in Space Research Pub Date : 2024-10-15 DOI: 10.1016/j.asr.2024.08.070

Tian Zhang , Hong Tang , Xiongyao Li , Chuanjiao Zhou , Wen Yu , Bing Mo , Jianzhong Liu , Xiaojia Zeng

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A review of global long-term changes in the mesosphere, thermosphere and ionosphere: A starting point for inclusion in (semi-) empirical models 审查全球中间层、热层和电离层的长期变化：纳入（半）经验模型的出发点

IF 2.8 3区地球科学

Advances in Space Research Pub Date : 2024-10-10 DOI: 10.1016/j.asr.2024.10.005

Ingrid Cnossen , John T. Emmert , Rolando R. Garcia , Ana G. Elias , Martin G. Mlynczak , Shun-Rong Zhang

{"title":"A review of global long-term changes in the mesosphere, thermosphere and ionosphere: A starting point for inclusion in (semi-) empirical models","authors":"Ingrid Cnossen , John T. Emmert , Rolando R. Garcia , Ana G. Elias , Martin G. Mlynczak , Shun-Rong Zhang","doi":"10.1016/j.asr.2024.10.005","DOIUrl":"10.1016/j.asr.2024.10.005","url":null,"abstract":"<div><div>The climate of the upper atmosphere, including the mesosphere, thermosphere and ionosphere, is changing. As data records are much more limited than in the lower atmosphere and solar variability becomes increasingly dominant at higher altitudes, accurate trend detection and attribution is not straightforward. Nonetheless, observations reliably indicate that, on average, the mesosphere has been cooling, the density in the thermosphere has been decreasing, and ionospheric layers have been shifting down. These global mean changes can be largely attributed to the increase in CO<sub>2</sub> concentration, which causes cooling and thermal contraction in the middle and upper atmosphere. The decline in thermosphere density is particularly relevant from a practical viewpoint, as this reduces atmospheric drag and thereby increases orbital lifetimes and the build-up of space debris. Long-term changes in the ionosphere can have further practical implications and are not only driven by the increase in CO<sub>2</sub> concentration, but also by changes in the Earth’s magnetic field. The empirical models that are mostly used to inform applications in industry on the state of the upper atmosphere, as well as being widely used in science, do not yet properly account for long-term trends in the mesosphere, thermosphere and ionosphere. This is problematic when long-term future projections are needed or models rely strongly on older data. This review provides an overview of the main evidence of long-term trends observed in the mesosphere, thermosphere and ionosphere, together with the latest insights on what causes these trends. It is hoped that this may serve as a starting point to include long-term trends in (semi-) empirical models to benefit all users of these models. We also offer some thoughts on how this could be approached.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142656095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

THEMIS observations of compressional Pc5 pulsations in the dawn- and duskside magnetosphere THEMIS 对黎明和黄昏磁层中压缩性 Pc5 脉动的观测

IF 2.8 3区地球科学

Advances in Space Research Pub Date : 2024-09-19 DOI: 10.1016/j.asr.2024.09.028

G.I. Korotova , D.G. Sibeck

{"title":"THEMIS observations of compressional Pc5 pulsations in the dawn- and duskside magnetosphere","authors":"G.I. Korotova , D.G. Sibeck","doi":"10.1016/j.asr.2024.09.028","DOIUrl":"10.1016/j.asr.2024.09.028","url":null,"abstract":"<div><div>We present case and statistical studies of compressional Pc5 pulsations observed by the THEMIS spacecraft in the dawn- and duskside magnetosphere from 2007 to 2011. A case study provides evidence for compressional Pc5 pulsations in the dawnside magnetosphere following the arrival of particles injected by a substorm and the subsequent growth of the drift mirror instability on February 27, 2011. The statistical study shows that the Pc5 pulsations occur in a weak or moderately disturbed magnetosphere but rarely develop during strong magnetic activity (i. e., for Dst index below −25 nT). The most striking characteristic of the compressional Pc5 pulsations is their localization in latitude and longitude over many consecutive days. Dawnside Pc5 pulsations occur under quieter conditions, last longer, and attain greater amplitudes than duskside Pc5 pulsations. We attribute compressional pulsations in both sectors to the drift mirror instability, with a warmer, more energized, and gradient-curvature drifting population of substorm-injected ions on the duskside and a colder ExB drifting population of plasma sheet ions on the dawnside.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142656094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Treatment of epistemic uncertainty in conjunction analysis with Dempster-Shafer theory 用 Dempster-Shafer 理论结合分析处理认识上的不确定性

IF 2.8 3区地球科学

Advances in Space Research Pub Date : 2024-09-12 DOI: 10.1016/j.asr.2024.09.014

Luis Sánchez , Massimiliano Vasile , Silvia Sanvido , Klaus Merz , Christophe Taillan

{"title":"Treatment of epistemic uncertainty in conjunction analysis with Dempster-Shafer theory","authors":"Luis Sánchez , Massimiliano Vasile , Silvia Sanvido , Klaus Merz , Christophe Taillan","doi":"10.1016/j.asr.2024.09.014","DOIUrl":"10.1016/j.asr.2024.09.014","url":null,"abstract":"<div><div>The paper presents an approach to the modelling of epistemic uncertainty in Conjunction Data Messages (CDM) and the classification of conjunction events according to the confidence in the probability of collision. The approach proposed in this paper is based on Dempster-Shafer Theory (DSt) of evidence and starts from the assumption that the observed CDMs are drawn from a family of unknown distributions. The Dvoretzky–Kiefer–Wolfowitz (DKW) inequality is used to construct robust bounds on such a family of unknown distributions starting from a time series of CDMs. A DSt structure is then derived from the probability boxes constructed with DKW inequality. The DSt structure encapsulates the uncertainty in the CDMs at every point along the time series and allows the computation of the belief and plausibility in the realisation of a given probability of collision. The methodology proposed in this paper is tested on a number of real events and compared against existing practices in the European and French Space Agencies. We will show that the classification system proposed in this paper is more conservative than the approach taken by the European Space Agency but provides an added quantification of uncertainty in the probability of collision.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142655983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Light curve attitude estimation using particle swarm optimizers 利用粒子群优化器进行光曲线姿态估计

IF 2.8 3区地球科学

Advances in Space Research Pub Date : 2024-09-11 DOI: 10.1016/j.asr.2024.09.008

Alexander Burton, Liam Robinson, Carolin Frueh

{"title":"Light curve attitude estimation using particle swarm optimizers","authors":"Alexander Burton, Liam Robinson, Carolin Frueh","doi":"10.1016/j.asr.2024.09.008","DOIUrl":"10.1016/j.asr.2024.09.008","url":null,"abstract":"<div><div>Knowledge of the attitude of a space object is useful in space situational awareness for independently evaluating a satellite’s health and characterizing unknown objects. In cases where only non-resolved optical observations are available, the object’s attitude may be estimated using a time sequence of brightness observations, also known as the light curve. This attitude estimation problem is plagued with multiple difficulties: even in the absence of noise and when all other relevant factors are perfectly known, the non-uniqueness of the problem means that multiple attitude time histories may fit the light curve equally well. In addition, there is often insufficient information about the object to generate an initial state guess for an estimator. This paper presents a method that estimates an observed object’s attitude and angular velocity while accounting for ambiguities and without needing any initial state guess. The only inputs are the light curve, the object’s albedo shape, and the object’s position relative to the Sun and the observer. The ability of the estimator to resolve attitude time histories is demonstrated using simulated light curves by comparing state estimates against known true states.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142655494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

On equatorial spread F occurrence: A multi-dimensional quantitative assessment 关于赤道传播 F 的发生：多维量化评估

IF 2.8 3区地球科学

Advances in Space Research Pub Date : 2024-09-07 DOI: 10.1016/j.asr.2024.09.005

T.V. Sruthi , G. Manju , K.S. Vishnupriya

{"title":"On equatorial spread F occurrence: A multi-dimensional quantitative assessment","authors":"T.V. Sruthi , G. Manju , K.S. Vishnupriya","doi":"10.1016/j.asr.2024.09.005","DOIUrl":"10.1016/j.asr.2024.09.005","url":null,"abstract":"<div><div>The present study investigates the role of gravity wave induced seed perturbations in the occurrence of Equatorial Spread F (ESF) under the influence of the post sunset background conditions modulated by prevailing electrodynamics and neutral wind. Ionospheric foF<sub>2</sub> data sets over geomagnetic equatorial station Trivandrum (8.5°N, 77°E and magnetic dip 0.68°N-corresponding to the period of study) corresponding to vernal and autumnal equinoctial periods encompassing high, low and moderate solar activity years, are used for the study. Meridional wind data is obtained either from ESA’s sun-synchronous satellite GOCE (Gravity field and steady-state Ocean Circulation Explorer) or derived using ionosonde h’F (base height of ionosphere at 2.5 MHz) data from Trivandrum (TVM- 8.5°N, 77°E and magnetic dip 0.68°N) and Sriharikota (SHAR−13.7°N, 80.2°E and magnetic dip 6.9°N-for period of study). This particular study is carried out for geomagnetically quiet days of Vernal Equinox (VE) and Autumnal Equinox (AE) seasons, which are most favoured for ESF occurrence over Indian longitudes. Considering thermospheric wind, ion-neutral collisions, and electric field effects in association with gravity wave seed, threshold curve is generated, which clearly demarcates ESF and NSF (Non spread F) days. Previous studies have addressed ESF variability in electrodynamical domain alone (wherein the layer is above a threshold level). The present study, for the first time, succeeds in demarcating ESF and NSF days by incorporating effects of electric field, neutral wind, collisional RT instability term, and gravity wave seed perturbations simultaneously irrespective of threshold height.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142258476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Water quality hotspot identification using a remote sensing and machine learning approach: A case study of the River Ganga near Varanasi 利用遥感和机器学习方法识别水质热点：瓦拉纳西附近恒河的案例研究

IF 2.8 3区地球科学

Advances in Space Research Pub Date : 2024-09-07 DOI: 10.1016/j.asr.2024.09.004

Anurag Mishra, Anurag Ohri, Prabhat Kumar Singh, Shishir Gaur, Rajarshi Bhattacharjee

{"title":"Water quality hotspot identification using a remote sensing and machine learning approach: A case study of the River Ganga near Varanasi","authors":"Anurag Mishra, Anurag Ohri, Prabhat Kumar Singh, Shishir Gaur, Rajarshi Bhattacharjee","doi":"10.1016/j.asr.2024.09.004","DOIUrl":"10.1016/j.asr.2024.09.004","url":null,"abstract":"<div><div>Turbidity (Turb) and Chlorophyll-a (Chl-a) are crucial indicators of water quality because they can reveal the presence of suspended particles and algae, respectively. Understanding the health of rivers and spotting long-term water quality changes can both benefit from monitoring these measures. Traditional methods of monitoring these parameters, like in-situ measurements, is time-consuming, expensive, and inconvenient in some places. Sentinel-2, a multispectral satellite, might offer a more workable and economical option for monitoring water quality, though. This study used 100 in-situ data collected from the Ganga River near Varanasi in the pre-monsoon season (pre-MS) and post-monsoon season (post-MS) in order to create a model for the prediction of optically active water quality parameters by combining Multispectral Instrument (MSI) data and machine learning method (Random Forest). To create spatial distribution maps for Chl-a and Turb, 14 spectral indices and band ratios were employed as independent variables. The results showed that the prediction accuracy for Turb (R<sup>2</sup> = 0.91, MAE = 1.13 and MAPE=7.76 % during pre-MS and R<sup>2</sup> = 0.93, MAE = 0.88 and MAPE=2.29 % during post-MS) and for Chl-a (R<sup>2</sup> = 0.97, MAE = 0.59, and MAPE=2.07 % during pre-MS and R<sup>2</sup> = 0.95, MAE = 0.61, and MAPE = 2.71 % during post-MS). The Ganga near Varanasi abruptly turned green due to an increase in algal bloom in May and June 2021. This study not only revealed the reasons behind the green appearance but also identified potential areas of concern or hotspots. In order to identify hotspot locations, drainage networks, point source discharge locations and LU-LC were used.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142258495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Burst-classifier: Automated classification of solar radio burst type II, III and IV for CALLISTO spectra using physical properties during maximum of solar cycle 24 射电暴分类器：利用太阳周期 24 最大值期间的物理特性对 CALLISTO 光谱中的太阳射电暴类型 II、III 和 IV 进行自动分类

IF 2.8 3区地球科学

Advances in Space Research Pub Date : 2024-09-07 DOI: 10.1016/j.asr.2024.09.001

N.Z. Mohd Afandi , R. Umar , N.H. Sabri , S. Safei , C. Monstein , C.C. Lau , S.N.A. Syed Zafar

{"title":"Burst-classifier: Automated classification of solar radio burst type II, III and IV for CALLISTO spectra using physical properties during maximum of solar cycle 24","authors":"N.Z. Mohd Afandi , R. Umar , N.H. Sabri , S. Safei , C. Monstein , C.C. Lau , S.N.A. Syed Zafar","doi":"10.1016/j.asr.2024.09.001","DOIUrl":"10.1016/j.asr.2024.09.001","url":null,"abstract":"<div><div>Continuous observation of solar radio bursts (SRBs) throughout the year using the CALLISTO spectrometer generates a huge volume of spectral data. This study introduces a burst-classifier algorithm, which is an automated algorithm, to classify the SRB spectrum into three solar radio bursts, namely Type II (SRBT II), Type III (SRBT III) and Type IV (SRBT IV). The proposed algorithm was designed using four characteristic parameters derived from a collection of training dataset files. The characteristic parameters were derived from the intensity bursts observed on frequency channels and timesteps of the spectrum. This dataset consisted of 50 spectra of SRBT II and SRBT III, along with 40 spectra for SRBT IV, collected during the solar maximum of 2014 (Solar Cycle 24). After observations and analysis of the training dataset, each burst type was set up with a threshold. A training dataset of 80 data spectra from 2013 to 2016 was used to test the algorithm. Accuracy of the proposed algorithm was calculated using the percentage of true positives (TP) and false positives (FP). Findings demonstrate an accuracy of ∼74 % with 57 out of 80 spectra classified as TP and 23 spectra as FP.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142258496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0