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Journal articles on the topic 'Atmospheric data collection using satellites'

Author: Grafiati

Published: 4 June 2021

Last updated: 10 February 2022

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1

Sporre, Moa K., Ewan J. O'Connor, Nina Håkansson, Anke Thoss, Erik Swietlicki, and Tuukka Petäjä. "Comparison of MODIS and VIIRS cloud properties with ARM ground-based observations over Finland." Atmospheric Measurement Techniques 9, no. 7 (2016): 3193–203. http://dx.doi.org/10.5194/amt-9-3193-2016.

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Abstract. Cloud retrievals from the Moderate Resolution Imaging Spectroradiometer (MODIS) instruments aboard the satellites Terra and Aqua and the Visible Infrared Imaging Radiometer Suite (VIIRS) instrument aboard the Suomi-NPP satellite are evaluated using a combination of ground-based instruments providing vertical profiles of clouds. The ground-based measurements are obtained from the Atmospheric Radiation Measurement (ARM) programme mobile facility, which was deployed in Hyytiälä, Finland, between February and September 2014 for the Biogenic Aerosols – Effects on Clouds and Climate (BAECC

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Gopal, Banala Krishna. "Atmospheric Data Collecting Cubesat using Raspberry PI." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (2021): 3880–88. http://dx.doi.org/10.22214/ijraset.2021.35848.

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As advances in technology make payloads and instruments for space missions smaller, lighter, and more power efficient, a distinct segment market is emerging for low-cost missions on very small spacecrafts such as - micro, nano, and picosatellites. Due to the fact that even after many technological advances the usage of miniature satellites the remote sensing of atmospheric is still not a widely explored aspect, to overcome this we idealized a system to build a CUBESAT which can be built with minimal efforts. We proposed this system with an objective to build a CUBESAT to detect different weath

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da Silva, Áurea Aparecida, Wilson Yamaguti, Hélio Koiti Kuga, and Cláudia Celeste Celestino. "Assessment of the Ionospheric and Tropospheric Effects in Location Errors of Data Collection Platforms in Equatorial Region during High and Low Solar Activity Periods." Mathematical Problems in Engineering 2012 (2012): 1–15. http://dx.doi.org/10.1155/2012/734280.

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The geographical locations of data collection platforms (DCP) in the Brazilian Environmental Data Collection System are obtained by processing Doppler shift measurements between satellites and DCP. When the signals travel from a DCP to a satellite crossing the terrestrial atmosphere, they are affected by the atmosphere layers, which generate a delay in the signal propagation, and cause errors in its final location coordinates computation. The signal propagation delay due to the atmospheric effects consists, essentially, of the ionospheric and tropospheric effects. This work provides an assessm

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Kalukin, Andrew, Satoshi Endo, Russell Crook, et al. "Image Collection Simulation Using High-Resolution Atmospheric Modeling." Remote Sensing 12, no. 19 (2020): 3214. http://dx.doi.org/10.3390/rs12193214.

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A new method is described for simulating the passive remote sensing image collection of ground targets that includes effects from atmospheric physics and dynamics at fine spatial and temporal scales. The innovation in this research is the process of combining a high-resolution weather model with image collection simulation to attempt to account for heterogeneous and high-resolution atmospheric effects on image products. The atmosphere was modeled on a 3D voxel grid by a Large-Eddy Simulation (LES) driven by forcing data constrained by local ground-based and air-based observations. The spatial

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Catchpole, Ivan, Peter Upton, Andrew Sinclair, and Jim Nagle. "Wide Area Differential GPS Field Study." Journal of Navigation 47, no. 2 (1994): 146–58. http://dx.doi.org/10.1017/s0373463300012066.

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Inmarsat commissioned the field study to be carried out by Signal Computing Ltd. in association with the Royal Greenwich Observatory. The study aimed to identify the commercial suitability of Wide Area Differential GPS (WADGPS) corrections. The corrections provided to users will be relayed via Inmarsat-3 geostationary satellites and are required to be valid over the footprint of an entire Inmarsat ocean region (approximately one third of the Earth's surface).The study has been conducted within the Inmarsat Atlantic Ocean Region East. Trials took place over a five-month period to achieve a repr

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Liu, Yuling, Yunyue Yu, Peng Yu, Heshun Wang, and Yuhan Rao. "Enterprise LST Algorithm Development and Its Evaluation with NOAA 20 Data." Remote Sensing 11, no. 17 (2019): 2003. http://dx.doi.org/10.3390/rs11172003.

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Satellite land surface temperatures (LSTs) have been routinely produced for decades from a variety of polar-orbiting and geostationary satellites, which makes it possible to generate LST climate data globally. However, consistency of the satellite LSTs from different satellite missions is a concern for such purpose; an enterprise satellite LST algorithm is desired for the LST production through different satellite missions, or at the least, through series satellites of a satellite mission. The enterprise LST algorithm employs the split window technique and uses the emissivity explicitly in its

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Sutlieff, Gary, Lucy Berthoud, and Mark Stinchcombe. "Using Satellite Data for CBRN (Chemical, Biological, Radiological, and Nuclear) Threat Detection, Monitoring, and Modelling." Surveys in Geophysics 42, no. 3 (2021): 727–55. http://dx.doi.org/10.1007/s10712-021-09637-5.

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Abstract CBRN (Chemical, Biological, Radiological, and Nuclear) threats are becoming more prevalent, as more entities gain access to modern weapons and industrial technologies and chemicals. This has produced a need for improvements to modelling, detection, and monitoring of these events. While there are currently no dedicated satellites for CBRN purposes, there are a wide range of possibilities for satellite data to contribute to this field, from atmospheric composition and chemical detection to cloud cover, land mapping, and surface property measurements. This study looks at currently availa

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Tate, PM. "Monthly mean surface thermal structure in the Tasman Sea from satellite imagery, 1979-84." Marine and Freshwater Research 39, no. 5 (1988): 579. http://dx.doi.org/10.1071/mf9880579.

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The use of satellite data provides a far greater density and more uniform distribution of observations than the more classical modes of oceanographic data collection. By sacrificing some spatial resolution of the satellite data, it is possible to retrieve sea surface temperatures on a global basis that have absolute accuracies within 1�C of drifting buoy data. Five years of low resolution infra-red data from the United States' National Oceanic and Atmospheric Administration satellites have been analysed for the area of the Tasman and Southern Coral Seas. Monthly mean surface thermal patterns c

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Li, Ruibo, Hua Li, Lin Sun, et al. "An Operational Split-Window Algorithm for Retrieving Land Surface Temperature from Geostationary Satellite Data: A Case Study on Himawari-8 AHI Data." Remote Sensing 12, no. 16 (2020): 2613. http://dx.doi.org/10.3390/rs12162613.

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An operational split-window (SW) algorithm was developed to retrieve high-temporal-resolution land surface temperature (LST) from global geostationary (GEO) satellite data. First, the MODTRAN 5.2 and SeeBor V5.0 atmospheric profiles were used to establish a simulation database to derive the SW algorithm coefficients for GEO satellites. Then, the dynamic land surface emissivities (LSEs) in the two SW bands were estimated using the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Emissivity Dataset (GED), fractional vegetation cover (FVC), and snow cover products. He

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Williams, Dean N., V. Balaji, Luca Cinquini, et al. "A Global Repository for Planet-Sized Experiments and Observations." Bulletin of the American Meteorological Society 97, no. 5 (2016): 803–16. http://dx.doi.org/10.1175/bams-d-15-00132.1.

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Abstract Working across U.S. federal agencies, international agencies, and multiple worldwide data centers, and spanning seven international network organizations, the Earth System Grid Federation (ESGF) allows users to access, analyze, and visualize data using a globally federated collection of networks, computers, and software. Its architecture employs a system of geographically distributed peer nodes that are independently administered yet united by common federation protocols and application programming interfaces (APIs). The full ESGF infrastructure has now been adopted by multiple Earth

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Schulz, Hans Martin, Boris Thies, Shih-Chieh Chang, and Jörg Bendix. "Detection of ground fog in mountainous areas from MODIS (Collection 051) daytime data using a statistical approach." Atmospheric Measurement Techniques 9, no. 3 (2016): 1135–52. http://dx.doi.org/10.5194/amt-9-1135-2016.

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Abstract. The mountain cloud forest of Taiwan can be delimited from other forest types using a map of the ground fog frequency. In order to create such a frequency map from remotely sensed data, an algorithm able to detect ground fog is necessary. Common techniques for ground fog detection based on weather satellite data cannot be applied to fog occurrences in Taiwan as they rely on several assumptions regarding cloud properties. Therefore a new statistical method for the detection of ground fog in mountainous terrain from MODIS Collection 051 data is presented. Due to the sharpening of input

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Pooja, S. B., and Siva R. V. Balan. "An Investigation Study on Clustering and Classification Techniques for Weather Forecasting." Journal of Computational and Theoretical Nanoscience 16, no. 2 (2019): 417–21. http://dx.doi.org/10.1166/jctn.2019.7742.

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Weather forecasting is the prediction of atmosphere state for particular location by using principles of physics provided by many statistical and empirical techniques. Weather forecasts are frequently made by collecting quantitative data about current state of atmosphere through scientific understanding of atmospheric processes to illustrate how atmosphere changes in future. Current weather conditions are collected through the observation from the ground, ships, aircraft, radio sounds and satellites. The information is transmitted to the meteorological centers where the data are collected and

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Munchak, L. A., R. C. Levy, S. Mattoo, et al. "MODIS 3 km aerosol product: applications over land in an urban/suburban region." Atmospheric Measurement Techniques Discussions 6, no. 1 (2013): 1683–716. http://dx.doi.org/10.5194/amtd-6-1683-2013.

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Abstract. MODerate resolution Imaging Spectroradiometer (MODIS) instruments aboard the Terra and Aqua satellites have provided a rich dataset of aerosol information at a 10 km spatial scale. Although originally intended for climate applications, the air quality community quickly became interested in using the MODIS aerosol data. However, 10 km resolution is not sufficient to resolve local scale aerosol features. With this in mind, MODIS Collection 6 is including a global aerosol product with a 3 km resolution. Here, we evaluate the 3 km product over the Baltimore/Washington D.C., USA, corridor

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Munchak, L. A., R. C. Levy, S. Mattoo, et al. "MODIS 3 km aerosol product: applications over land in an urban/suburban region." Atmospheric Measurement Techniques 6, no. 7 (2013): 1747–59. http://dx.doi.org/10.5194/amt-6-1747-2013.

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Abstract. MODerate resolution Imaging Spectroradiometer (MODIS) instruments aboard the Terra and Aqua satellites have provided a rich dataset of aerosol information at a 10 km spatial scale. Although originally intended for climate applications, the air quality community quickly became interested in using the MODIS aerosol data. However, 10 km resolution is not sufficient to resolve local scale aerosol features. With this in mind, MODIS Collection 6 includes a global aerosol product with a 3 km resolution. Here, we evaluate the 3 km product over the Baltimore–Washington D.C., USA, corridor dur

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Krassovski, Misha B., Glen E. Lyon, Jeffery S. Riggs, and Paul J. Hanson. "Near-real-time environmental monitoring and large-volume data collection over slow communication links." Geoscientific Instrumentation, Methods and Data Systems 7, no. 4 (2018): 289–95. http://dx.doi.org/10.5194/gi-7-289-2018.

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Abstract. Climate change studies are one of the most important aspects of modern science and related experiments are getting bigger and more complex. One such experiment is the Spruce and Peatland Responses Under Changing Environments (SPRUCE; http://mnspruce.ornl.gov, last access: 16 October 2018) conducted in northern Minnesota. The SPRUCE experimental mission is to assess ecosystem-level biological responses of vulnerable, high-carbon terrestrial ecosystems to a range of climate warming manipulations and an elevated CO2 atmosphere. This manipulation experiment generates a lot of observation

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Sayer, A. M., A. Smirnov, N. C. Hsu, L. A. Munchak, and B. N. Holben. "Estimating marine aerosol particle volume and number from Maritime Aerosol Network data." Atmospheric Chemistry and Physics 12, no. 18 (2012): 8889–909. http://dx.doi.org/10.5194/acp-12-8889-2012.

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Abstract. As well as spectral aerosol optical depth (AOD), aerosol composition and concentration (number, volume, or mass) are of interest for a variety of applications. However, remote sensing of these quantities is more difficult than for AOD, as it is more sensitive to assumptions relating to aerosol composition. This study uses spectral AOD measured on Maritime Aerosol Network (MAN) cruises, with the additional constraint of a microphysical model for unpolluted maritime aerosol based on analysis of Aerosol Robotic Network (AERONET) inversions, to estimate these quantities over open ocean.

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Sharifnezhadazizi, Zahra, Hamid Norouzi, Satya Prakash, Christopher Beale, and Reza Khanbilvardi. "A Global Analysis of Land Surface Temperature Diurnal Cycle Using MODIS Observations." Journal of Applied Meteorology and Climatology 58, no. 6 (2019): 1279–91. http://dx.doi.org/10.1175/jamc-d-18-0256.1.

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AbstractDiurnal variations of land surface temperature (LST) play a vital role in a wide range of applications such as climate change assessment, land–atmosphere interactions, and heat-related health issues in urban regions. This study uses 15 years (2003–17) of daily observations of LST Collection 6 from the Moderate Resolution Imaging Spectroradiometer (MODIS) instruments on board the Aqua and the Terra satellites. A spline interpolation method is used to estimate half-hourly global LST from the MODIS measurements. A preliminary assessment of interpolated LST with hourly ground-based observa

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Bouvet, Marc, Kurtis Thome, Béatrice Berthelot, et al. "RadCalNet: A Radiometric Calibration Network for Earth Observing Imagers Operating in the Visible to Shortwave Infrared Spectral Range." Remote Sensing 11, no. 20 (2019): 2401. http://dx.doi.org/10.3390/rs11202401.

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Vicarious calibration approaches using in situ measurements saw first use in the early 1980s and have since improved to keep pace with the evolution of the radiometric requirements of the sensors that are being calibrated. The advantage of in situ measurements for vicarious calibration is that they can be carried out with traceable and quantifiable accuracy, making them ideal for interconsistency studies of on-orbit sensors. The recent development of automated sites to collect the in situ data has led to an increase in the available number of datasets for sensor calibration. The current work d

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Håkansson, Nina, Claudia Adok, Anke Thoss, Ronald Scheirer, and Sara Hörnquist. "Neural network cloud top pressure and height for MODIS." Atmospheric Measurement Techniques 11, no. 5 (2018): 3177–96. http://dx.doi.org/10.5194/amt-11-3177-2018.

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Abstract. Cloud top height retrieval from imager instruments is important for nowcasting and for satellite climate data records. A neural network approach for cloud top height retrieval from the imager instrument MODIS (Moderate Resolution Imaging Spectroradiometer) is presented. The neural networks are trained using cloud top layer pressure data from the CALIOP (Cloud-Aerosol Lidar with Orthogonal Polarization) dataset. Results are compared with two operational reference algorithms for cloud top height: the MODIS Collection 6 Level 2 height product and the cloud top temperature and height alg

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de Leeuw, Gerrit, Larisa Sogacheva, Edith Rodriguez, et al. "Two decades of satellite observations of AOD over mainland China using ATSR-2, AATSR and MODIS/Terra: data set evaluation and large-scale patterns." Atmospheric Chemistry and Physics 18, no. 3 (2018): 1573–92. http://dx.doi.org/10.5194/acp-18-1573-2018.

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Abstract. The retrieval of aerosol properties from satellite observations provides their spatial distribution over a wide area in cloud-free conditions. As such, they complement ground-based measurements by providing information over sparsely instrumented areas, albeit that significant differences may exist in both the type of information obtained and the temporal information from satellite and ground-based observations. In this paper, information from different types of satellite-based instruments is used to provide a 3-D climatology of aerosol properties over mainland China, i.e., vertical p

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Hong, Gang, Ping Yang, Bo-Cai Gao, et al. "High Cloud Properties from Three Years of MODIS Terra and Aqua Collection-4 Data over the Tropics." Journal of Applied Meteorology and Climatology 46, no. 11 (2007): 1840–56. http://dx.doi.org/10.1175/2007jamc1583.1.

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Abstract This study surveys the optical and microphysical properties of high (ice) clouds over the Tropics (30°S–30°N) over a 3-yr period from September 2002 through August 2005. The analyses are based on the gridded level-3 cloud products derived from the measurements acquired by the Moderate Resolution Imaging Spectroradiometer (MODIS) instruments aboard both the NASA Earth Observing System Terra and Aqua platforms. The present analysis is based on the MODIS collection-4 data products. The cloud products provide daily, weekly, and monthly mean cloud fraction, cloud optical thickness, cloud e

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Clauer, C. R., H. Kim, K. Deshpande, et al. "An autonomous adaptive low-power instrument platform (AAL-PIP) for remote high-latitude geospace data collection." Geoscientific Instrumentation, Methods and Data Systems 3, no. 2 (2014): 211–27. http://dx.doi.org/10.5194/gi-3-211-2014.

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Abstract. We present the development considerations and design for ground-based instrumentation that is being deployed on the East Antarctic Plateau along a 40° magnetic meridian chain to investigate interhemispheric magnetically conjugate geomagnetic coupling and other space-weather-related phenomena. The stations are magnetically conjugate to geomagnetic stations along the west coast of Greenland. The autonomous adaptive low-power instrument platforms being deployed in the Antarctic are designed to operate unattended in remote locations for at least 5 years. They utilize solar power and AGM

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Adachi, Yusuke, Ryota Kikuchi, Kenta Obata, and Hiroki Yoshioka. "Relative Azimuthal-Angle Matching (RAM): A Screening Method for GEO-LEO Reflectance Comparison in Middle Latitude Forests." Remote Sensing 11, no. 9 (2019): 1095. http://dx.doi.org/10.3390/rs11091095.

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This study introduced a data screening method for comparing the reflectances in middle latitude forest regions collected by a Geostationary Earth Observing (GEO) satellite and a Low Earth Orbit (LEO) satellite. This method attempts to reduce the differences between the relative azimuth angles of the GEO and LEO observations. The method, called relative azimuthal-angle matching (RAM), takes advantage of the high temporal resolution of the GEO satellites, which enables collection of a wide range of relative azimuth angles within a day. The performance of the RAM method was evaluated using data i

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Wang, Chenxi, Ping Yang, Bryan A. Baum, et al. "Retrieval of Ice Cloud Optical Thickness and Effective Particle Size Using a Fast Infrared Radiative Transfer Model." Journal of Applied Meteorology and Climatology 50, no. 11 (2011): 2283–97. http://dx.doi.org/10.1175/jamc-d-11-067.1.

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AbstractA computationally efficient radiative transfer model (RTM) is developed for the inference of ice cloud optical thickness and effective particle size from satellite-based infrared (IR) measurements and is aimed at potential use in operational cloud-property retrievals from multispectral satellite imagery. The RTM employs precomputed lookup tables to simulate the top-of-the-atmosphere (TOA) radiances (or brightness temperatures) at 8.5-, 11-, and 12-μm bands. For the clear-sky atmosphere, the optical thickness of each atmospheric layer resulting from gaseous absorption is derived from th

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Redemann, J., Q. Zhang, J. Livingston, et al. "Testing aerosol properties in MODIS Collection 4 and 5 using airborne sunphotometer observations in INTEX-B/MILAGRO." Atmospheric Chemistry and Physics 9, no. 21 (2009): 8159–72. http://dx.doi.org/10.5194/acp-9-8159-2009.

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Abstract. The 14-channel Ames Airborne Tracking Sunphotometer (AATS) was operated on a Jetstream 31 (J31) aircraft in March 2006 during MILAGRO/INTEX-B (Megacity Initiative-Local And Global Research Observations/Phase B of the Intercontinental Chemical Transport Experiment). We compare AATS retrievals of spectral aerosol optical depth (AOD) and related aerosol properties with corresponding spatially coincident and temporally near-coincident measurements acquired by the MODIS-Aqua and MODIS-Terra satellite sensors. These comparisons are carried out for the older MODIS Collection 4 (C4) and the

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Zhang, Shengfu. "Surface biomass monitoring of rotational grazing in alpine grassland based on satellite Multi-spectral images." E3S Web of Conferences 257 (2021): 03051. http://dx.doi.org/10.1051/e3sconf/202125703051.

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The surface of the biomass monitoring is blocked rotational grazing land prerequisite for high scores (GF - 1) satellite multispectral image and artificial biomass index test, using the ENVI software GF1 or GF6 data (radiation calibration atmospheric correction of RPC orthographical correction), and then calculate the vegetation index (NDVI), NDVI can detect vegetation growth status, vegetation coverage and eliminate part of the radiation error manual data collection and statistical analysis, then normalized processing, the conclusion is obtained.

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Jiang, Maofei, Ke Xu, and Yalong Liu. "Calibration and Validation of Reprocessed HY-2A Altimeter Wave Height Measurements Using Data from Buoys, Jason-2, Cryosat-2, and SARAL/AltiKa." Journal of Atmospheric and Oceanic Technology 35, no. 6 (2018): 1331–52. http://dx.doi.org/10.1175/jtech-d-17-0151.1.

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AbstractThe Haiyang-2A (HY-2A) satellite is China’s first ocean dynamic environment satellite, and the radar altimeter is one of its main payloads. In this study the HY-2A altimeter sensor interim geophysical dataset records (SIGDR) data are reprocessed to obtain better significant wave height (Hs) measurements over a period of more than four years (from 1 October 2011 to 15 March 2016). The reprocessed HY-2A Hs measurements are calibrated and validated using National Data Buoy Center (NDBC) buoys and several operating altimeters: Joint Altimetry Satellite Oceanography Network-2 (Jason-2), Cry

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Koukouli, M. E., D. S. Balis, D. Loyola, et al. "Geophysical validation and long-term consistency between GOME-2/MetOp-A total ozone column and measurements from the sensors GOME/ERS-2, SCIAMACHY/ENVISAT and OMI/Aura." Atmospheric Measurement Techniques 5, no. 9 (2012): 2169–81. http://dx.doi.org/10.5194/amt-5-2169-2012.

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Abstract. The main aim of the paper is to assess the consistency of five years of Global Ozone Monitoring Experiment-2/Metop-A [GOME-2] total ozone columns and the long-term total ozone satellite monitoring database already in existence through an extensive inter-comparison and validation exercise using as reference Brewer and Dobson ground-based measurements. The behaviour of the GOME-2 measurements is being weighed against that of GOME (1995–2011), Ozone Monitoring Experiment [OMI] (since 2004) and the Scanning Imaging Absorption spectroMeter for Atmospheric CartograpHY [SCIAMACHY] (since 20

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Koukouli, M. E., D. S. Balis, D. Loyola, et al. "Geophysical validation and long-term consistency between GOME-2/MetOp-A total ozone column and measurements from the sensors GOME/ERS-2, SCIAMACHY/ENVISAT and OMI/Aura." Atmospheric Measurement Techniques Discussions 5, no. 2 (2012): 3019–45. http://dx.doi.org/10.5194/amtd-5-3019-2012.

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Abstract. The main aim of the paper is to assess the consistency of five years of Global Ozone Monitoring Experiment-2/Metop-A (GOME-2) total ozone columns and the long-term total ozone satellite monitoring database already in existence through an extensive inter-comparison and validation exercise using as reference Brewer and Dobson ground-based measurements. The behaviour of the GOME-2 measurements is being weighed against that of GOME (1995–2011), Ozone Monitoring Experiment (OMI) (since 2004) and the Scanning Imaging Absorption spectroMeter for Atmospheric CartograpHY (SCIAMACHY) (since 20

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Heymsfield, Andrew J., Carl Schmitt, Chih-Chieh-Jack Chen, et al. "Contributions of the Liquid and Ice Phases to Global Surface Precipitation: Observations and Global Climate Modeling." Journal of the Atmospheric Sciences 77, no. 8 (2020): 2629–48. http://dx.doi.org/10.1175/jas-d-19-0352.1.

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Abstract This study is the first to reach a global view of the precipitation process partitioning, using a combination of satellite and global climate modeling data. The pathways investigated are 1) precipitating ice (ice/snow/graupel) that forms above the freezing level and melts to produce rain (S) followed by additional condensation and collection as the melted precipitating ice falls to the surface (R); 2) growth completely through condensation and collection (coalescence), warm rain (W); and 3) precipitating ice (primarily snow) that falls to the surface (SS). To quantify the amounts, dat

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Xiao, Q., H. Zhang, M. Choi, et al. "Evaluation of VIIRS, GOCI, and MODIS Collection 6 AOD retrievals against ground sunphotometer observations over East Asia." Atmospheric Chemistry and Physics 16, no. 3 (2016): 1255–69. http://dx.doi.org/10.5194/acp-16-1255-2016.

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Abstract. Persistent high aerosol loadings together with extremely high population densities have raised serious air quality and public health concerns in many urban centers in East Asia. However, ground-based air quality monitoring is relatively limited in this area. Recently, satellite-retrieved Aerosol Optical Depth (AOD) at high resolution has become a powerful tool to characterize aerosol patterns in space and time. Using ground AOD observations from the Aerosol Robotic Network (AERONET) and the Distributed Regional Aerosol Gridded Observation Networks (DRAGON)-Asia Campaign, as well as f

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Kuba, Naomi, Kentaroh Suzuki, Tempei Hashino, Tatsuya Seiki, and Masaki Satoh. "Numerical Experiments to Analyze Cloud Microphysical Processes Depicted in Vertical Profiles of Radar Reflectivity of Warm Clouds." Journal of the Atmospheric Sciences 72, no. 12 (2015): 4509–28. http://dx.doi.org/10.1175/jas-d-15-0053.1.

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Abstract Information about microphysical processes in warm clouds embedded in satellite measurements must be untangled to be used to improve the parameterization in global models. In this paper, the relationship between vertical profiles of horizontally averaged radar reflectivity Zm and cloud optical depth from cloud top τd was investigated using a hybrid cloud microphysical model and a forward simulator of satellite measurements. The particle size distributions were explicitly simulated using a bin method in a kinematic framework. In contrast to previous interpretations of satellite-observed

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Carminati, Fabien, Stefano Migliorini, Bruce Ingleby, et al. "Using reference radiosondes to characterise NWP model uncertainty for improved satellite calibration and validation." Atmospheric Measurement Techniques 12, no. 1 (2019): 83–106. http://dx.doi.org/10.5194/amt-12-83-2019.

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Abstract. The characterisation of errors and uncertainties in numerical weather prediction (NWP) model fields is a major challenge that is addressed as part of the Horizon 2020 Gap Analysis for Integrated Atmospheric ECV CLImate Monitoring (GAIA-CLIM) project. In that regard, observations from the GCOS (Global Climate Observing System) Reference Upper-Air Network (GRUAN) radiosondes are being used at the Met Office and European Centre for Medium-Range Weather Forecasts (ECMWF) to assess errors and uncertainties associated with model data. The software introduced in this study and referred to a

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Weir, Brad, Lesley E. Ott, George J. Collatz, et al. "Bias-correcting carbon fluxes derived from land-surface satellite data for retrospective and near-real-time assimilation systems." Atmospheric Chemistry and Physics 21, no. 12 (2021): 9609–28. http://dx.doi.org/10.5194/acp-21-9609-2021.

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Abstract. The ability to monitor and understand natural and anthropogenic variability in atmospheric carbon dioxide (CO2) is a growing need of many stakeholders across the world. Systems that assimilate satellite observations, given their short latency and dense spatial coverage, into high-resolution global models are valuable, if not essential, tools for addressing this need. A notable drawback of modern assimilation systems is the long latency of many vital input datasets; for example, inventories, in situ measurements, and reprocessed remote-sensing data can trail the current date by months

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Levy, R. C., L. A. Munchak, S. Mattoo, F. Patadia, L. A. Remer, and R. E. Holz. "Towards a long-term global aerosol optical depth record: applying a consistent aerosol retrieval algorithm to MODIS and VIIRS-observed reflectance." Atmospheric Measurement Techniques 8, no. 10 (2015): 4083–110. http://dx.doi.org/10.5194/amt-8-4083-2015.

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Abstract. To answer fundamental questions about aerosols in our changing climate, we must quantify both the current state of aerosols and how they are changing. Although NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) sensors have provided quantitative information about global aerosol optical depth (AOD) for more than a decade, this period is still too short to create an aerosol climate data record (CDR). The Visible Infrared Imaging Radiometer Suite (VIIRS) was launched on the Suomi-NPP satellite in late 2011, with additional copies planned for future satellites. Can the MODIS ae

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Levy, R. C., L. A. Munchak, S. Mattoo, F. Patadia, L. A. Remer, and R. E. Holz. "Towards a long-term global aerosol optical depth record: applying a consistent aerosol retrieval algorithm to MODIS and VIIRS-observed reflectance." Atmospheric Measurement Techniques Discussions 8, no. 7 (2015): 6877–947. http://dx.doi.org/10.5194/amtd-8-6877-2015.

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Abstract. To answer fundamental questions about aerosols in our changing climate, we must quantify both the current state of aerosols and how they are changing. Although NASA's Moderate resolution Imaging Spectroradiometer (MODIS) sensors have provided quantitative information about global aerosol optical depth (AOD) for more than a decade, this period is still too short to create an aerosol climate data record (CDR). The Visible Infrared Imaging Radiometer Suite (VIIRS) was launched on the Suomi-NPP satellite in late 2011, with additional copies planned for future satellites. Can the MODIS ae

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Johansson, T., T. Karlsson, G. Marklund, S. Figueiredo, P. A. Lindqvist, and S. Buchert. "A statistical study of intense electric fields at 4−7 R<sub><i>E</i></sub> geocentric distance using Cluster." Annales Geophysicae 23, no. 7 (2005): 2579–88. http://dx.doi.org/10.5194/angeo-23-2579-2005.

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Abstract. Intense high-latitude electric fields (>150 mV/m mapped to ionospheric altitude) at 4–7 RE geocentric distance have been investigated in a statistical study, using data from the Cluster satellites. The orbit of the Cluster satellites limits the data collection at these altitudes to high latitudes, including the poleward part of the auroral oval. The occurrence and distribution of the selected events have been used to characterize the intense electric fields and to investigate their dependance on parameters such as MLT, CGLat, altitude, and also Kp. Peaks in the local time distribu

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Kittaka, C., D. M. Winker, M. A. Vaughan, A. Omar, and L. A. Remer. "Intercomparison of column aerosol optical depths from CALIPSO and MODIS-Aqua." Atmospheric Measurement Techniques 4, no. 2 (2011): 131–41. http://dx.doi.org/10.5194/amt-4-131-2011.

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Abstract. The Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) is carried on the CALIPSO satellite and has acquired global aerosol profiles since June 2006. CALIPSO is flown in formation with the Aqua satellite as part of the A-train satellite constellation, so that a large number of coincident aerosol observations are available from CALIOP and the MODIS-Aqua instrument. This study compares column aerosol optical depth at 0.532 μm derived from CALIOP aerosol profiles with MODIS-Aqua 0.55 μm aerosol optical depth over the period June 2006 through August 2008. The study is based on the

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Levy, Robert C., Shana Mattoo, Virginia Sawyer, et al. "Exploring systematic offsets between aerosol products from the two MODIS sensors." Atmospheric Measurement Techniques 11, no. 7 (2018): 4073–92. http://dx.doi.org/10.5194/amt-11-4073-2018.

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Abstract. Long-term measurements of global aerosol loading and optical properties are essential for assessing climate-related questions. Using observations of spectral reflectance and radiance, the dark-target (DT) aerosol retrieval algorithm is applied to Moderate Resolution Imaging Spectroradiometer sensors on both Terra (MODIS-T) and Aqua (MODIS-A) satellites, deriving products (known as MOD04 and MYD04, respectively) of global aerosol optical depth (AOD at 0.55 µm) over both land and ocean, and an Ångström exponent (AE derived from 0.55 and 0.86 µm) over ocean. Here, we analyze the overlap

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Jones, Thomas A., Patrick Skinner, Kent Knopfmeier, et al. "Comparison of Cloud Microphysics Schemes in a Warn-on-Forecast System Using Synthetic Satellite Objects." Weather and Forecasting 33, no. 6 (2018): 1681–708. http://dx.doi.org/10.1175/waf-d-18-0112.1.

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AbstractForecasts of high-impact weather conditions using convection-allowing numerical weather prediction models have been found to be highly sensitive to the selection of cloud microphysics scheme used within the system. The Warn-on-Forecast (WoF) project has developed a rapid-cycling, convection-allowing, data assimilation and forecasting system known as the NSSL Experimental WoF System for ensembles (NEWS-e), which is designed to utilize advanced cloud microphysics schemes. NEWS-e currently (2017–18) uses the double-moment NSSL variable density scheme (NVD), which has been shown to generat

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Souza, Juarez Dantas de, Juan Carlos Ceballos, and Bernardo Barbosa Da Silva. "SURFACE ALBEDO OBTAINED WITH MODIS IMAGES IN CASES OF LOW AND HIGH AEROSOL LOADING IN THE ATMOSPHERE." Revista Brasileira de Geofísica 32, no. 1 (2014): 5. http://dx.doi.org/10.22564/rbgf.v32i1.421.

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ABSTRACT. The surface albedo is a parameter of vital importance for estimating the net radiation. This parameter is obtained by using data obtained from satelliteimages and by utilizing the appropriate method for atmospheric correction. The method used by NASA (National Aeronautics and Space Administration) to obtainsurface reflectance through MODIS (Moderate Resolution Imaging Spectrometer) sensor aboard the Terra and Aqua satellites (MOD09 and MYD09 products) hasproved inaccurate for the detection of burning areas in the Amazon region – for products in both collection 4 and collection 5. Oth

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van der Werf, G. R., J. T. Randerson, L. Giglio, G. J. Collatz, P. S. Kasibhatla, and A. F. Arellano. "Interannual variability in global biomass burning emissions from 1997 to 2004." Atmospheric Chemistry and Physics 6, no. 11 (2006): 3423–41. http://dx.doi.org/10.5194/acp-6-3423-2006.

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Abstract. Biomass burning represents an important source of atmospheric aerosols and greenhouse gases, yet little is known about its interannual variability or the underlying mechanisms regulating this variability at continental to global scales. Here we investigated fire emissions during the 8 year period from 1997 to 2004 using satellite data and the CASA biogeochemical model. Burned area from 2001–2004 was derived using newly available active fire and 500 m. burned area datasets from MODIS following the approach described by Giglio et al. (2006). ATSR and VIRS satellite data were used to ex

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Korras-Carraca, M. B., N. Hatzianastassiou, C. Matsoukas, A. Gkikas, and C. D. Papadimas. "The regime of aerosol asymmetry parameter over Europe, the Mediterranean and the Middle East based on MODIS satellite data: evaluation against surface AERONET measurements." Atmospheric Chemistry and Physics 15, no. 22 (2015): 13113–32. http://dx.doi.org/10.5194/acp-15-13113-2015.

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Abstract. Atmospheric particulates are a significant forcing agent for the radiative energy budget of the Earth–atmosphere system. The particulates' interaction with radiation, which defines their climate effect, is strongly dependent on their optical properties. In the present work, we study one of the most important optical properties of aerosols, the asymmetry parameter (gaer), over sea surfaces of the region comprising North Africa, the Arabian Peninsula, Europe, and the Mediterranean Basin. These areas are of great interest, because of the variety of aerosol types they host, both anthropo

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Puliafito, S. E., T. Bolaño Ortiz, R. Pascual, A. Lopez-Noreña, and L. Berná. "SNOW ALBEDO REDUCTION IN CENTRAL ANDES BY ATMOSPHERIC AEROSOLS: CASE STUDY ON THE TUNUYÁN BASIN (ARGENTINA)." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W12-2020 (November 6, 2020): 407–12. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w12-2020-407-2020.

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Abstract. Changes in snow albedo (SA) on several basins of the central Andes of Argentina are associated with the possible deposition of light-absorbing particles (LAP) in the austral spring. To demonstrate this possibility, we correlate SA with daily data of snow cover (SC), aerosol optical depth (AOD) and land surface temperature (LST) available from the Moderate-Resolution Imaging Spectroradiometer (MODIS) on board NASA Terra satellite during 2000–2016, and other derived parameters such as days after albedo (DAS) and snow precipitation (SP) from the Tropical Rainfall Measuring Mission (TRMM

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Malbéteau, Yoann, Stephen Parkes, Bruno Aragon, Jorge Rosas, and Matthew McCabe. "Capturing the Diurnal Cycle of Land Surface Temperature Using an Unmanned Aerial Vehicle." Remote Sensing 10, no. 9 (2018): 1407. http://dx.doi.org/10.3390/rs10091407.

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Characterizing the land surface temperature (LST) and its diurnal cycle is important in understanding a range of surface properties, including soil moisture status, evaporative response, vegetation stress and ground heat flux. While remote-sensing platforms present a number of options to retrieve this variable, there are inevitable compromises between the resolvable spatial and temporal resolution. For instance, the spatial resolution of geostationary satellites, which can provide sub-hourly LST, is often too coarse (3 km) for many applications. On the other hand, higher-resolution polar orbit

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Lee, K. H., and Y. J. Kim. "Satellite remote sensing of Asian aerosols: a case study of clean, polluted, and Asian dust storm days." Atmospheric Measurement Techniques 3, no. 6 (2010): 1771–84. http://dx.doi.org/10.5194/amt-3-1771-2010.

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Abstract. In East Asia, satellite observation is important because aerosols from natural and anthropogenic sources have been recognized as a major source of regional and global air pollution. However, retrieving aerosols properties from satellite observations over land can be difficult because of the surface reflection, complex aerosol composition, and aerosol absorption. In this study, a new aerosol retrieval method called as the Moderate Resolution Imaging Spectroradiometer (MODIS) satellite aerosol retrieval (MSTAR) was developed and applied to three different aerosol event cases over East

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Antuña-Marrero, Juan Carlos, Victoria Cachorro Revilla, Frank García Parrado, et al. "Comparison of aerosol optical depth from satellite (MODIS), sun photometer and broadband pyrheliometer ground-based observations in Cuba." Atmospheric Measurement Techniques 11, no. 4 (2018): 2279–93. http://dx.doi.org/10.5194/amt-11-2279-2018.

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Abstract. In the present study, we report the first comparison between the aerosol optical depth (AOD) and Ångström exponent (AE) of the Moderate Resolution Imaging Spectroradiometer (MODIS) instruments on the Terra (AODt) and Aqua (AODa) satellites and those measured using a sun photometer (AODSP) at Camagüey, Cuba, for the period 2008 to 2014. The comparison of Terra and Aqua data includes AOD derived with both deep blue (DB) and dark target (DT) algorithms from MODIS Collection 6. Combined Terra and Aqua (AODta) data were also considered. Assuming an interval of ±30 min around the overpass

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Moody, Eric G., Michael D. King, Crystal B. Schaaf, and Steven Platnick. "MODIS-Derived Spatially Complete Surface Albedo Products: Spatial and Temporal Pixel Distribution and Zonal Averages." Journal of Applied Meteorology and Climatology 47, no. 11 (2008): 2879–94. http://dx.doi.org/10.1175/2008jamc1795.1.

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Abstract Five years (2000–04) of spatially complete snow-free land surface albedo data have been produced using high-quality-flagged diffuse bihemispherical (white sky) and direct-beam directional hemispherical (black sky) land surface albedo data derived from observations taken by the Moderate-Resolution Imaging Spectroradiometer (MODIS) instrument aboard the NASA Terra satellite platform (MOD43B3, collection 4). In addition, a spatially complete snow-free aggregate albedo climatological product was generated. These spatially complete products were prepared using an ecosystem-dependent tempor

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Le Marshall, John, Robert Norman, David Howard, et al. "Corrigendum to: Using global navigation satellite system data for real-time moisture analysis and forecasting over the Australian region I. The system." Journal of Southern Hemisphere Earth Systems Science 70, no. 1 (2020): 394. http://dx.doi.org/10.1071/es19009_co.

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The use of high spatial and temporal resolution data assimilation and forecasting around Australia’s capital cities and rural land provided an opportunity to improve moisture analysis and forecasting. To support this endeavour, RMIT University and Geoscience Australia worked with the Bureau of Meteorology (BoM) to provide real-time GNSS (global navigation satellite system) zenith total delay (ZTD) data over the Australian region, from which a high-resolution total water vapour field for SE Australia could be determined. The ZTD data could play an important role in high-resolution data assimila

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Choi, M., J. Kim, J. Lee, et al. "GOCI Yonsei Aerosol Retrieval (YAER) algorithm and validation during DRAGON-NE Asia 2012 campaign." Atmospheric Measurement Techniques Discussions 8, no. 9 (2015): 9565–609. http://dx.doi.org/10.5194/amtd-8-9565-2015.

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Abstract. The Geostationary Ocean Color Imager (GOCI) onboard the Communication, Ocean, and Meteorology Satellites (COMS) is the first multi-channel ocean color imager in geostationary orbit. Hourly GOCI top-of-atmosphere radiance has been available for the retrieval of aerosol optical properties over East Asia since March 2011. This study presents improvements to the GOCI Yonsei Aerosol Retrieval (YAER) algorithm over ocean and land together with validation results during the DRAGON-NE Asia 2012 campaign. Optical properties of aerosol are retrieved from the GOCI YAER algorithm including aeros

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