Results 141 to 150 of about 235,216 (266)

The Mars Global Dust Storm of 2018 [PDF]

Mars is a dusty planet. Wind often lifts dust from the surface into the air forming clouds of dust at different locations across Mars. These dust storms typically last up to a couple days and grow to a few hundred km in size.
Guzewich, Scott D., Smith, Michael D.
core   +1 more source

Lorentz-Shaped Comet Dust Trail Cross Section from New Hybrid Visual and Video Meteor Counting Technique - Implications for Future Leonid Storm Encounters [PDF]

, 2000
A new hybrid technique of visual and video meteor observations was developed to provide high precision near real-time flux measurements for satellite operators from airborne platforms. A total of 33,000 Leonids.
Butow, Steven J., Crawford, Chris, Holman, David, Houston, Jane, Jenniskens, Peter, Jobse, Klaas, Koop, Mike, Kronk, Gary, Nugent, David   +8 more
core   +1 more source

Genesis and reservoir preservation mechanism of 10 000‐m ultradeep dolomite in Chinese craton basin

Deep Underground Science and Engineering, EarlyView.
Potential exploration target stratum of 10 000‐m ultradeep dolomite in Sichuan Basin and Tarim Basin, China. Abstract The 10 000‐m ultradeep dolomite reservoir holds significant potential as a successor field for future oil and gas exploration in China's marine craton basin.
Guangyou Zhu, Xi Li, Bin Zhao, Hua Jiang, Yinghui Cao, Yan Zhang, Weiyan Chen, Tingting Li, Jiakai Hou   +8 more
wiley   +1 more source

Earth observation for ecosystem accounting: spatially explicit national seagrass extent and carbon stock in Kenya, Tanzania, Mozambique and Madagascar

Remote Sensing in Ecology and Conservation, Volume 8, Issue 6, Page 778-792, December 2022., 2022
Seagrass ecosystems are globally significant hot spots of natural climate solutions like blue carbon storage, coastal biodiversity maintenance, and coastal protection. Here, we introduce a novel cloud‐based seagrass ecosystem accounting framework which we harness to transform tens of thousands of Sentinel‐2 satellite images and reference data points ...
Dimosthenis Traganos, Avi Putri Pertiwi, Chengfa Benjamin Lee, Alina Blume, Dimitris Poursanidis, Aurelie Shapiro, Vincent Lecours, Gang Zheng   +7 more
wiley   +1 more source

Long-Term Spatio-Temporal Analysis, Distribution, and Trends of Dust Events over Iran

Atmosphere
This study provides a comprehensive evaluation of dust events over Iran, using synoptic data from 286 meteorological stations. The dust events are classified according to synoptic dust codes as suspended dust and others (i.e., blowing dust, dust storms ...
Abbas Ranjbar Saadat Abadi, Nasim Hossein Hamzeh, Dimitris G. Kaskaoutis, Christian Opp, Amin Fazl Kazemi   +4 more
doaj   +1 more source

A Sustainable Direct Recycling Method for LMO/NMC Cathode Mixture from Retired Lithium‐Ion Batteries in EV

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Low‐temperature direct recycling of LMO/NMC cathode mixture from spent EV batteries. Direct recycling methods offer a non‐destructive way to regenerate degraded cathode material. The materials to be recycled in the industry typically constitute a mixture of various cathode materials extracted from a wide variety of retired lithium‐ion batteries ...
Yu Wang, Kang Shen, Chris Yuan
wiley   +1 more source

Data assimilation of three mars years of thermal emission spectrometer observations: Large-scale transient and stationary waves [PDF]

, 2008
Introduction: Large-scale traveling and stationary planetary waves are diagnosed from an analysis of profiles retrieved from the Thermal Emission Spectrometer (TES) [1] aboard the Mars Global Surveyor (MGS) spacecraft during its scientific mapping phase.
Lewis, S. R., Montabone, L., Read, P. L., Rogberg, P., Smith, M. D., Wilson, R. J.   +5 more
core  

Machine Learning‐Based Solar Photovoltaic Power Forecasting for Nigerian Regions

Energy Science &Engineering, EarlyView.
ABSTRACT This study explores machine learning‐based forecasting of solar photovoltaic (PV) power generation across distinct climatic regions in Nigeria. Machine learning techniques, particularly support vector machines (SVM) and artificial neural networks (ANN), were employed to predict solar PV output, utilizing a comprehensive data set spanning 12 ...
Christian Idogho, Emmanuel Owoicho Abah, Joy Ojodunwene Onuhc, Catur Harsito, Kenneth Omenkaf, Akeghiosi Samuel, Abel Ejila, Idoko Peter Idoko, Ummi Ene Ali   +8 more
wiley   +1 more source

Modern‐Type Eolian Regime and Global Cooling‐Modulated Dust Provenance in the Late Paleogene of Central‐East Asia

Geochemistry, Geophysics, Geosystems
Atmospheric mineral dust is a poorly constrained yet extremely important component of the climate system. Provenance studies from geologic dust archives are crucial to understand the drivers of the dust cycle over long time scales.
K. Bohm, J. Wasiljeff, T. Stevens, J. Salminen, H. Tang, Y. Lahaye, M. Kurhila, Z. Zhang, O. Haugvaldstad, A. Kaakinen   +9 more
doaj   +1 more source

Field intercomparison of ice nucleation measurements: the Fifth International Workshop on Ice Nucleation Phase 3 (FIN-03) [PDF]

Atmospheric Measurement Techniques
The third phase of the Fifth International Ice Nucleation Workshop (FIN-03) was conducted at the Storm Peak Laboratory in Steamboat Springs, Colorado, in September 2015 to facilitate the intercomparison of instruments measuring ice-nucleating particles ...
P. J. DeMott, J. A. Mirrielees, J. A. Mirrielees, S. S. Petters, S. S. Petters, S. S. Petters, D. J. Cziczo, D. J. Cziczo, M. D. Petters, M. D. Petters, M. D. Petters, H. G. Bingemer, T. C. J. Hill, K. Froyd, K. Froyd, K. Froyd, S. Garimella, S. Garimella, A. G. Hallar, A. G. Hallar, E. J. T. Levin, E. J. T. Levin, I. B. McCubbin, I. B. McCubbin, A. E. Perring, A. E. Perring, A. E. Perring, C. N. Rapp, T. Schiebel, T. Schiebel, J. Schrod, K. J. Suski, K. J. Suski, D. Weber, D. Weber, M. J. Wolf, M. J. Wolf, M. Zawadowicz, M. Zawadowicz, J. Zenker, J. Zenker, O. Möhler, S. D. Brooks   +42 more
doaj   +1 more source