نتایج جستجو برای: hysplit
تعداد نتایج: 302 فیلتر نتایج به سال:
Research on the spatial flow of ecosystem services can help to identify the spatial relationships between service-providing areas (SPAs) and service-benefitting areas (SBAs). In this study, we used the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model to stimulate the flow paths of the wind erosion prevented by ecosystems in Hunshandake, China. By interpolating these paths...
This contribution evaluates an approach using an extended Kalman filter (EKF) to estimate the planetary boundary layer height (PBLH) from lidar measurements obtained in the framework of the European Aerosol Research LIdar NETwork (EARLINET) at 12 UTC ± 30-min for a 7-year period (2007-2013) under different synoptic flows over the complex geographical area of Barcelona, Spain. PBLH diagnosed wit...
This study focuses on analyzing the changes to aerosol properties caused by the dust storm called “China’s Great Wall of Dust” that originated from the Taklimakan Desert in April 2014. IDDI (Infrared Difference Dust Index) images from FY-2E and true color composite images from FY-3C MERSI (Medium Resolution Spectral Imager) show the breakout and transport path of the dust storm. Three-hourly gr...
introduction one of the factors that affect the climate of arid and semi-arid areas is dust storm. numerical models are new methods for evaluation of dust storms which can also be used for forecasting dust storms. weather patterns that lead to dust outbreaks can be simulated using computer models that support a wide range of simulations related to the long-range transport, dispersion, and depos...
Northern China was hit by a severe dust storm on 15 March 2021, covering large area and bring devastating impact to degree that unprecedented in more than decade. In the study, we carried out day-and-night continuous monitoring path of moving dust, using multi-spectral data from Chinese FY-4A satellite combined with Japanese Himawary-8 visible near-infrared, mid-infrared far-infrared bands. We ...
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