Advances in Space Research最新文献

{"title":"Regional daily sea level maps from Multi-mission Altimetry using Space–time Window Kriging","authors":"Marie-Christin Juhl,&nbsp;Marcello Passaro,&nbsp;Denise Dettmering","doi":"10.1016/j.asr.2025.04.014","DOIUrl":"10.1016/j.asr.2025.04.014","url":null,"abstract":"<div><div>In this study, we present a gridding approach using Window Spatio-temporal Kriging applied to multi-mission, along-track Sea Level Anomalies (SLAs) to produce daily regional Level-4 gridded datasets. The method was tested in two distinct regions: the California region, selected for its extensive tide gauge coverage, and the Southwestern Atlantic Continental Shelf, known for complex coastal dynamics where existing gridded products have shown performance issues. We selected unfiltered along-track SLAs within a  ± 5-day window centered around the prediction day to capture short-term spatio-temporal variability. An experimental variogram for each day was constructed and fitted using a sum-metric spatio-temporal variogram model. This model was then incorporated into a Kriging system, which utilizes Ordinary Kriging to predict SLAs at unsampled locations based on the spatial and temporal covariance structures. We produced a daily gridded dataset covering 2018 on a 1/4° grid and compared it against SLAs from independent along-track data, tide gauges, and Glorys12v1 model reanalysis. The resulting grid demonstrated improved correlation with in situ tide gauges, increasing by 10.7% in California and 17.5% in the Southwestern Atlantic Continental Shelf region while reducing the Root Mean Square Deviation by 12.7% and 13.8%, respectively. We also reported a notable improvement (from 58 to 34 days) in terms of effective temporal resolution estimated against independent in situ data, while spatial effective resolution compared to independent along-track data is equal compared to CMEMS SLAs in the study region of California.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":"75 11","pages":"Pages 7769-7786"},"PeriodicalIF":2.8,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143936109","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}

{"title":"Obtaining the optimum polarization point in gas detectors with Bayesian optimization","authors":"J. Ignacio G. Tejedor,&nbsp;Alberto Regadío,&nbsp;Juan José Blanco,&nbsp;Óscar G. Población,&nbsp;Sindulfo Ayuso","doi":"10.1016/j.asr.2025.03.076","DOIUrl":"10.1016/j.asr.2025.03.076","url":null,"abstract":"<div><div>Some detectors, particularly gas detectors, have an optimum polarization point at which their efficiency increases, resulting in more stable measurements. Finding an optimal polarization point can be tedious in many cases, specially when it has to be calculated in situ and manually. In addition, this point can vary over time depending on the environmental conditions of the detector. This manuscript proposes the automatic calculation of this polarization point using a method based on Bayesian optimization. The validation of this method has been carried out first using theoretical polarization curves and then using the real polarization of one of the particle detectors that make up the CaLMa neutron monitor.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":"75 10","pages":"Pages 7757-7768"},"PeriodicalIF":2.8,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143906872","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}

{"title":"Power series-based Koopman model with application to spacecraft relative motion control","authors":"Hailiao Wang ,&nbsp;Ming Xu ,&nbsp;Xue Bai ,&nbsp;Jun Zhu ,&nbsp;Jun Jiang","doi":"10.1016/j.asr.2025.03.060","DOIUrl":"10.1016/j.asr.2025.03.060","url":null,"abstract":"<div><div>This paper presents a power series-based method for efficiently computing the Koopman operator of nonlinear systems and investigates its application to model predictive control for spacecraft relative motion. Firstly, the power series function is introduced as the function basis for the Koopman operator, eliminating the necessity for complex high-dimensional symbolic integration typically of conventional methods. This significantly reduces computational time by directly extracting coefficients from symbolic polynomials. Then, a mapping relationship is established between the control inputs and the Koopman linear system, leading to the development of a bilinear Koopman model with control terms. Furthermore, we enhance the traditional model predictive controller to enable the derived Koopman bilinear control model to be applied in a linear controller, achieving rapid online planning and control of the original system. Simulations based on three-dimensional high-order relative motion equations of spacecraft show that our method requires only 1 % of the time needed for traditional Koopman matrix computation. The resultant Koopman linear model exhibits precise prediction capabilities over a wide range. The proposed Koopman model predictive control algorithm enables the spacecraft to respond to real-time environmental deviations and autonomously complete assigned tasks in various relative orbital missions despite external disturbances.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":"75 11","pages":"Pages 8174-8191"},"PeriodicalIF":2.8,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143935950","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}

{"title":"ATMOCIAD: the ATomic and MOlecular cross-section for ionization and aurora database","authors":"Guillaume Gronoff ,&nbsp;Cyril Simon Wedlund ,&nbsp;Bradley Hegyi ,&nbsp;Jean Lilensten ,&nbsp;Alex Glocer ,&nbsp;Gaël Cessateur ,&nbsp;Olivier Witasse ,&nbsp;Christopher J. Mertens","doi":"10.1016/j.asr.2025.03.061","DOIUrl":"10.1016/j.asr.2025.03.061","url":null,"abstract":"<div><div>Studying aurora and airglow in planetary atmospheres necessitates an accurate understanding of atomic and molecular cross-sections for ionization, excitation, and dissociation. However, model inter-comparisons often result in discrepancies due to differences in cross-section input data rather than the underlying physical approximations. To address this issue, we introduce the Atomic and Molecular Cross-section for Ionization and Aurora Database, ATMOCIAD, a comprehensive database of cross-sections for the main atmospheric species in the solar system, and beyond. ATMOCIAD currently includes photon and electron impact data, with ongoing efforts to expand coverage to proton and hydrogen impacts. By incorporating cross-sections from various sources and providing set recommendations based on energy-loss computations, ATMOCIAD offers a more consistent and reliable foundation for studying the interactions between stellar radiation and planetary atmospheres.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":"75 11","pages":"Pages 8232-8247"},"PeriodicalIF":2.8,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143936533","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}

{"title":"The effect of photoelectron interhemispheric transport on ion temperature in the topside ionosphere around sunset","authors":"Zhenzhang Tang ,&nbsp;Huijun Le ,&nbsp;Libo Liu ,&nbsp;Yiding Chen ,&nbsp;Ruilong Zhang","doi":"10.1016/j.asr.2025.03.063","DOIUrl":"10.1016/j.asr.2025.03.063","url":null,"abstract":"<div><div>We discovered two significant ion temperature variations in the topside ionosphere around sunset. There is a cooling before sunset and a slow drop after sunset. We speculate that these variations are closely linked to the transport and heating of photoelectrons that move between hemispheres. This movement of photoelectrons is influenced by two factors: the length of the magnetic field line (LMF) and the angle between the horizontal projection of the magnetic field line and the sunset line (AMFS). Our quantitative analysis has revealed that an increase in AMFS encourages photoelectron transport, whereas an increase in LMF hinders it. Additionally, we have determined that the area of maximum cooling before sunset aligns with the predawn heating, while the slow drop after sunset occurs in lower magnetic latitude. In regions where AMFS is less than 10°, the transport of photoelectrons does not play a major role in influencing ion temperature.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":"75 11","pages":"Pages 8262-8269"},"PeriodicalIF":2.8,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143936534","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}

{"title":"Characterization of equatorial plasma bubbles over the East African Sector using the ROTI and sTEC depletion depth","authors":"Amsalu Hundesa Dinede ,&nbsp;Tsegaye Kassa Gogie","doi":"10.1016/j.asr.2025.03.062","DOIUrl":"10.1016/j.asr.2025.03.062","url":null,"abstract":"<div><div>This study investigates the prevalence of ionospheric irregularities and plasma bubbles over East Africa throughout 2015 using Global Navigation Satellite System (GNSS) data. Parameters including slant total electron content (sTEC), rate of change of total electron content index (ROTI), Kp, and Dst indices were employed to identify periods of relative quiet, defined as Dst<span><math><mrow><mo>&gt;</mo><mo>-</mo><mn>30</mn></mrow></math></span> nT and Kp <span><math><mrow><mo>&lt;</mo><mn>3</mn></mrow></math></span>. Equatorial plasma bubbles (EPBs) were detected at two stations: Addis Ababa (ADIS) and Roberts Camp Naivasha (RCMN). In geomagnetic coordinates, ADIS is at <span><math><mrow><mn>5.35</mn><mi>°</mi></mrow></math></span>N, <span><math><mrow><mn>112.51</mn><mi>°</mi></mrow></math></span>E, and RCMN at <span><math><mrow><mn>4.42</mn><mi>°</mi></mrow></math></span>S, <span><math><mrow><mn>109.06</mn><mi>°</mi></mrow></math></span>E. EPBs were identified by analyzing the detrended curves and sTEC depletion depths. Detecting detrended curves of sTEC and analyzing sTEC depletion depths holds significant importance in the investigation of ionospheric disturbances caused by EPBs, particularly when utilizing ground-based data from the GNSS in equatorial and low latitude regions. Notably, EPBs show an increased occurrence during the post-sunset hours 17:00 to 22:00 UT (20:00 to 1:00 LT), displaying distinct daily, monthly, and seasonal patterns. EPBs are most active during the March and September equinoxes, exhibiting higher occurrence rates compared to the solstices. This enhanced activity is primarily due to the alignment of the solar terminator with the geomagnetic meridian during equinoxes, which creates optimal conditions for EPB formation. Our observations indicate that EPB activity is more pronounced at RCMN than at ADIS. This is because RCMN is situated near the Equatorial Ionization Anomaly (EIA) crest, where plasma density is significantly higher due to the fountain effect. While EPBs originate at the magnetic equator via the Rayleigh–Taylor instability (RTI), their intensity and impact are often greater near the EIA region. Ultimately, our findings confirm that EPBs are stronger at RCMN due to a combination of factors, including enhanced instability growth, poleward expansion of magnetic field lines, steep plasma density gradients, post-sunset electrodynamics, and regional ionospheric variations.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":"75 11","pages":"Pages 8248-8261"},"PeriodicalIF":2.8,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143936535","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}

{"title":"A novel snow depth estimation model for the Eastern Himalayas using DInSAR","authors":"Manmit Kumar Singh ,&nbsp;Ritu Anilkumar ,&nbsp;Rishikesh Bharti","doi":"10.1016/j.asr.2025.03.059","DOIUrl":"10.1016/j.asr.2025.03.059","url":null,"abstract":"<div><div>Assessing snow depth is crucial for various environmental, hydrological, and climatological studies. Snow depth measurement utilizing conventional techniques often encounters challenges in high-altitude remote locations. In this scenario, space-borne remote sensing has proven to be a scientific tool to estimate snow depth. With the availability of Sentinel-1, a C-band Synthetic Aperture Radar (SAR) data, snow depth estimation is being widely studied. This study introduces an improved snow depth inversion model utilizing the Differential Interferometric Synthetic Aperture Radar (DInSAR) technique in conjunction with inputs from Landsat-9. The Level 2, Landsat-9 dataset is used to estimate the snow wetness and the snow cover map. The corresponding state-of-the-art empirical equations are utilized to predict snow dielectric, an important input for the snow depth inversion model. The performance of the proposed snow depth inversion model shows improvement after implementing the modified weight function and scaling values to the existing model. The final snow depth inversion model achieves a Root Mean Squared Error (RMSE) of 5.74 cm and a Mean Absolute Error (MAE) of 4.94 cm, demonstrating significant accuracy in estimating snow depth over the alpine regions of the Eastern Himalayas. The intermediate accuracy values (9.58 cm and 7.90 cm) are mentioned in the study for context. This may contribute to a better understanding of snowpack dynamics and enhance the efficacy of water resource management strategies in alpine areas of the Eastern Himalayas.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":"75 11","pages":"Pages 8027-8040"},"PeriodicalIF":2.8,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143936030","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}

{"title":"Chaotic encryption algorithm for satellite images based on novel RNA coding","authors":"Chaofeng Zhao ,&nbsp;Xinchao He ,&nbsp;Yanfei Li ,&nbsp;Bo Zeng","doi":"10.1016/j.asr.2025.03.057","DOIUrl":"10.1016/j.asr.2025.03.057","url":null,"abstract":"<div><div>Threat to sensitive data and images during storage and transmission between Earth Observation Satellites and ground stations is increasing with the increasing number of satellites. We present an infinite dimensional chaotic encryption algorithm for satellite images of Earth Observation Satellite, which using by a novel RNA encoding method combined with layered bidirectional diffusion operations of pixels. Firstly, dynamic characteristics of the infinite dimensional chaotic system are introduced, including infinite dimensional properties of the system, phase diagrams, sequence charts, Lyapunov exponential results, and bifurcation diagrams. Secondly, a novel RNA encoding method is designed to dynamically encode image pixel values based on sequences generated by infinite dimensional chaotic system after processing. Meanwhile, multiple RNA operations are used to solve the possibility of being vulnerable to brute force attacks caused by fewer RNA coding rules. Thirdly, layer bidirectional diffusion operations are brought into the image encryption algorithm to complete pixels diffusion and achieve required security effects. Finally, the experimental simulation results on MATLAB platform verify effectiveness and practicability of the presented image encryption algorithm, such as key sensitivity, information entropy, efficiency, robustness against transmission errors and other indicators, which could provide bases for effectively resisting various attacks. The presented satellite image encryption algorithm is a safe method and could achieve universal and satellite-required security, as well as robustness against transmission errors. In addition, the secure key space is incomparable to other similar algorithms.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":"75 11","pages":"Pages 8334-8356"},"PeriodicalIF":2.8,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143936541","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}

{"title":"Transforming soil quality index predictions in the Nile River Basin using hybrid stacking machine learning techniques","authors":"Chiranjit Singha ,&nbsp;Satiprasad Sahoo ,&nbsp;Ajit Govind","doi":"10.1016/j.asr.2025.03.058","DOIUrl":"10.1016/j.asr.2025.03.058","url":null,"abstract":"<div><div>This study highlights the importance of sustainable land management in preserving soil health and agricultural productivity, particularly in mitigating land degradation. Soil Quality Index (SQI) was assessed in Egypt’s Nile River Basin using 266 surface samples (0–30 cm depth) collected between 2021 and 2022. Eleven key soil quality indicators such as bulk density (BD), sand, silt, clay, pH, electrical conductivity (EC), organic carbon (OC), calcium (Ca), nitrogen (N), phosphorus (P), and potassium (K) were analyzed to estimate the observed SQI (SQI_obs) using a PCA-based scoring method and geostatistical techniques. The SQI_obs were validated against in-situ wheat yield. Various hybrid stacking ensemble (SE) machine learning models including Random Forest (SE-RF), Extreme Gradient Boosting (SE-XGB), Gradient Boosting Machine (SE-GBM), Multivariate Adaptive Regression Splines (SE-MARS), Support Vector Machine (SE-SVM), and SE-Cubist was applied to predict soil quality (SQI_pred) in data-scarce regions. The SE-RF and SE-Cubist models demonstrated the highest predictive accuracy (R² = 0.830 and 0.824, respectively). Results showed that “very high” and “very low” SQI classes covered 24.25 % and 14.70 % of the study area, respectively. Future projections using CMIP6 models indicate a decline in SQI, from 24.25 % to 19.15 % (SSP2-4.5) and 10.85 % (SSP5-8.5) between 1990 and 2030. SHAP analysis identified BD, clay, sand, OC, and N as key drivers of SQIobs, while SM, Tmax, FC, ST, and NDVI significantly influenced SQI_pred. This study provides a robust framework for assessing soil quality, offering valuable insights for land use planning, sustainable agriculture, and combating soil degradation.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":"75 11","pages":"Pages 7987-8026"},"PeriodicalIF":2.8,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143936029","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}

{"title":"High-precision estimation of meteor radio echo angle of arrival over long antenna baselines under strong phase ambiguity","authors":"Dmitry Korotyshkin","doi":"10.1016/j.asr.2025.03.056","DOIUrl":"10.1016/j.asr.2025.03.056","url":null,"abstract":"<div><div>This paper introduces a novel, universal, and computationally efficient technique for accurately determining the angles of arrival of meteor radio echoes acquired by meteor radar systems. Unlike traditional approaches, which rely on short baselines or specific antenna layouts, the proposed method is designed to address the challenge of strong phase ambiguity in the estimation of meteor echo arrival angles for arbitrary antenna layouts and long baselines in the antenna array. Besides, this technique utilizes the full information contained in the signal while maintaining minimal computational workload.</div><div>The technique proposed in this study not only ensures high precision in angle determination and minimizes the percentage of rough errors but also enhances the overall efficiency of the meteor radar complex. By leveraging a comprehensive signal processing approach, the method accounts for key factors such as the non-planarity of the antenna field and the sphericity issues of the wavefront, which are often overlooked in conventional systems.</div><div>Approbation of the proposed technique is performed on modernized phase interferometer of the meteor radar complex of Kazan Federal University (KFU) located in Russia. Taking into account the modernization of the antenna field to a size of 225 × 150 meters at the KFU meteor radar, this modernization has demonstrated a 3.6–6 times improvement in the accuracy of the angles of arrival compared to the classical SKiYMET radar with an antenna field size of 45 × 45 meters. Importantly, these advancements are achieved with significantly reduced computational complexity, making the method both practical and scalable.</div><div>The new approach presented in this paper is intended to open a new era of high-precision meteor observations on long baselines. It is expected to play a crucial role in advancing the study of fine altitude structures of the mesosphere-lower thermosphere dynamics, as well as in solving astronomical problems related to meteors and meteor showers.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":"75 11","pages":"Pages 8374-8390"},"PeriodicalIF":2.8,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143936544","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}