Lanlan Rao

ORCID: 0000-0003-4439-0496
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About
Contact & Profiles
Research Areas
  • Atmospheric chemistry and aerosols
  • Atmospheric aerosols and clouds
  • Atmospheric Ozone and Climate
  • Air Quality Monitoring and Forecasting
  • Atmospheric and Environmental Gas Dynamics
  • Tropical and Extratropical Cyclones Research
  • Ocean Waves and Remote Sensing
  • Oceanographic and Atmospheric Processes
  • Marine and fisheries research
  • Marine and environmental studies
  • Innovation and Socioeconomic Development
  • Radio Wave Propagation Studies
  • Calibration and Measurement Techniques
  • Meteorological Phenomena and Simulations
  • Marine and coastal ecosystems
  • Arctic and Antarctic ice dynamics
  • 3D Surveying and Cultural Heritage
  • Remote Sensing and LiDAR Applications
  • Climate Change Policy and Economics
  • Coastal and Marine Management
  • Natural Resources and Economic Development
  • Spectroscopy Techniques in Biomedical and Chemical Research
  • Marine and Coastal Research
  • Underwater Acoustics Research
  • Integrated Energy Systems Optimization

Chinese Academy of Sciences
2024

National Space Science Center
2024

State Key Laboratory of Remote Sensing Science
2024

Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
2020-2022

Technical University of Munich
2020-2022

Indian Institute of Science Bangalore
2001

National Institute of Oceanography
1986

The first observational experiment under the Indian Climate Research Programme, called Bay of Bengal Monsoon Experiment (BOBMEX), was carried out during July–August 1999. BOBMEX aimed at measurements important variables atmosphere, ocean, and their interface to gain deeper insight into some processes that govern variability organized convection over bay. Simultaneous time series observations were in northern southern from ships moored buoys. About 80 scientists 15 different institutions...

10.1175/1520-0477(2001)082<2217:btbobm>2.3.co;2 article EN Bulletin of the American Meteorological Society 2001-10-01

Abstract Low carbon transition strategies of power plants are crucial to meet China’s ‘Dual Carbon’ targets. While the Beijing–Tianjin–Hebei (BTH) region, ‘capital economic circles’ China, is suffering from serious air pollution, quality co-benefits low policies in electricity system BTH area remain unclear. Here, we estimate impacts policies, including one BAU, six single and five combined scenarios, on installed capacity, CO 2 emissions, human health through 2060 based open source energy...

10.1088/1748-9326/ad3f33 article EN cc-by Environmental Research Letters 2024-04-16

Ozone stands out as a crucial trace gas within the Earth’s atmosphere, exerting substantial influence on climate change and air pollution. Tropospheric ozone plays an important role in formation of photochemical smog, its variations are associated with human activities. The utilization satellite remote sensing technology for tropospheric monitoring enables quantitative analysis global regional spatiotemporal characteristics. It also facilitates investigation mechanisms involved troposphere....

10.34133/remotesensing.0178 article EN cc-by Journal of Remote Sensing 2024-01-01

Precise knowledge about aerosols in the lower atmosphere (optical properties and vertical distribution) is particularly important for studying Earth’s climatic weather conditions. Measurements from satellite sensors sun-synchronous geostationary orbits can be used to map distributions of aerosol parameters global or regional scales. The new-generation sensor Tropospheric Monitoring Instrument (TROPOMI) onboard Copernicus Sentinel-5 Precursor (S5P) measures a wide variety atmospheric trace...

10.3389/fenvs.2021.770662 article EN cc-by Frontiers in Environmental Science 2022-01-14

Quantifying the concentration of absorbing aerosol is essential for pollution tracking and calculation atmospheric radiative forcing. To quickly obtain optical depth (AAOD) with high-resolution high-accuracy, gradient boosted regression trees (GBRT) method based on joint data from Ozone Monitoring Instrument (OMI), Moderate Resolution Imaging Spectro-Radiometer (MODIS), AErosol RObotic NETwork (AERONET) used TROPOspheric (TROPOMI). Compared ground-based data, correlation coefficient results...

10.1109/tgrs.2022.3231699 article EN IEEE Transactions on Geoscience and Remote Sensing 2022-12-22

In this paper, we present three algorithms for aerosol parameters retrieval from TROPOMI measurements in the <inline-formula><tex-math notation="LaTeX">$\textrm {O}_{2}$</tex-math></inline-formula> A-band. These use neural networks (i) to emulate radiative transfer model and a Bayesian approach solve inverse problem, (ii) learn synthetic radiances, (iii) principal-component transform of radiances. The training process is based on full-physics simulations. accuracy efficiency network are...

10.1109/jstars.2022.3196843 article EN cc-by IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2022-01-01

In atmospheric science we are confronted with inverse problems arising in applications associated retrievals of geophysical parameters. A nonlinear mapping from quantities (e.g., properties) to spectral measurements can be represented by a forward model. An inversion often suffers the lack stability and its stabilization introduced proper approaches, however, treated sufficient generality. principle, regularization enforce uniqueness solution when additional information is incorporated into...

10.3390/atmos11101052 article EN cc-by Atmosphere 2020-10-01

Resource-based countries, such as the Next Eleven (N11) and BRICS have been plagued by economic vulnerability due to their heavy dependence on resource industry. Information communication technologies (ICT) has innovatively applied in environmental field, which a potential break curse. Previous studies not systematically investigated impacts of ICT curse both N11 nations. This study explores development natural rents, analyzes hypothesis from perspective human development, determines whether...

10.2139/ssrn.4291608 article EN SSRN Electronic Journal 2022-01-01

To retrieve aerosol properties from satellite measurements, micro-physical models have to be assumed. Due the spatial and temporal inhomogeneity of aerosols, choosing an appropriate model is important task. In this paper, we use a Bayesian algorithm that takes into account uncertainties optical depth layer height synthetic real TROPOMI O2A band measurements. The results show in case insufficient information for selection, improves accuracy solution.

10.3390/rs13132489 article EN cc-by Remote Sensing 2021-06-25

The Atmospheric Infrared Ultra-Spectral Sounder (AIUS) is China's first infrared occultation spectrometer onboard the GaoFen-5 satellite. This instrument provides measurements in near- and mid- spectral regions with a resolution of 0.02 cm <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$^{-1}$</tex-math></inline-formula> , monitoring key greenhouse gases like methane (CH...

10.1109/jstars.2024.3381651 article EN cc-by-nc-nd IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2024-01-01

10.1109/jstars.2024.3439014 article EN cc-by-nc-nd IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2024-01-01

æ°”æº¶èƒ¶å•æ¬¡æ•£å°„åç §çŽ‡SSA(Single Scattering Albedoï¼‰çš„å«æ˜Ÿå®šé‡é¥æ„Ÿå¯¹æ°”å€™è¯„ä¼°å’Œå¤§æ°”æ±¡æŸ“æ²»ç†å‡å ·æœ‰é‡è¦æ„ä¹‰ã€‚æ­è½½äºŽS5P(Sentinel-5 Precursor)上的对流层监测仪(TROPOMIï¼‰å ·æœ‰ç›®å‰åŒç±»å«æ˜Ÿä¼ æ„Ÿå™¨ä¸­æœ€ä¼˜çš„ç©ºé—´åˆ†è¾¨çŽ‡ã€‚æœ¬æ–‡åŸºäºŽS5P/TROPOMI数据开展了中国东部地区的SSAåæ¼”ç ”ç©¶ã€‚é¦–å ˆåˆ©ç”¨ä¸­å›½ä¸œéƒ¨åœ°åŒºAERONET(Aerosol Robotic Network)站点数据对OPAC(Optical Properties of Aerosols and...

10.11834/jrs.20221032 article DA National Remote Sensing Bulletin 2022-01-01
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