Aerosol Spray

ZOLL Respond is the mobile companion app designed to work seamlessly with ZOLL Dispatch to minimize radio communication, save time, and reduce errors by automatically transferring data between dispatch and crews in the field. Use real-time maps on any Android or iOS mobile device to view, respond, and receive turn-by-turn routing guidance to trip pick-up and drop-off points. Reduce data touch points to minimize the risk of data errors and omissions and take the burden off crews to write down critical information while traveling to the scene.

Aerosol particles in the atmosphere have an important influence on the Earth's radiative balance by directly reflecting sunlight back into space, as well as absorbing some sunlight and converting it into heat. Aerosols also have an impact on climate by acting as cloud condensation nuclei, which alters cloud properties and their radiative effects. Aerosol particles at surface level impact human health, and are associated with disruption to transport (desert dust storms and volcanic eruptions) and can reduce the solar irradiance available for solar power plants.

Thomas Popp, Johnathan Mittaz, Systematic propagation of AVHRR AOD uncertainties - a case study to demonstrate the FIDUCEO approach, Remote Sensing, 14, 875, https://doi.org/10.3390/rs14040875, 2022

The driving objective of the CCI Aerosol project is to provide independently validated, high quality algorithms for processing long-term records of global aerosol properties from European satellite instruments.

Sogacheva, L., de Leeuw, G., Rodriguez, E., Kolmonen, P., Georgoulias, A. K., Alexandri, G., Kourtidis, K., Proestakis, E., Marinou, E., Amiridis, V., Xue, Y., and van der A, R. J.: Spatial and seasonal variations of aerosols over China from two decades of multi-satellite observations – Part 1: ATSR (1995–2011) and MODIS C6.1 (2000–2017), Atmos. Chem. Phys., 18, 11389–11407, https://doi.org/10.5194/acp-18-11389-2018, 2018.

Aerosol examples

Sogacheva, L., Popp, T., Sayer, A. M., Dubovik, O., Garay, M. J., Heckel, A., Hsu, N. C., Jethva, H., Kahn, R. A., Kolmonen, P., Kosmale, M., de Leeuw, G., Levy, R. C., Litvinov, P., Lyapustin, A., North, P., Torres, O., and Arola, A.: Merging regional and global aerosol optical depth records from major available satellite products, Atmos. Chem. Phys., 20, 2031–2056, https://doi.org/10.5194/acp-20-2031-2020, 2020.

The Aerosol project provides independently validated, high quality algorithms for processing long-term records of global aerosol properties from European satellite instruments.

Aerosols in pharmacy

ZOLL Data Systems provides software and data solutions that empower, EMS, fire, and healthcare financial organizations to deliver more — from better patient outcomes to operational efficiencies and greater revenue capture.

ZOLL Data Systems cloud-based EMS, fire, and healthcare software and data solutions feature advanced integration and data availability that help improve clinical, operational, and financial performance of your organization.

Sayer, A. M., Govaerts, Y., Kolmonen, P., Lipponen, A., Luffarelli, M., Mielonen, T., Patadia, F., Popp, T., Povey, A. C., Stebel, K., and Witek, M. L.: A review and framework for the evaluation of pixel-level uncertainty estimates in satellite aerosol remote sensing, Atmospheric Measurements and Techniques, 13, 373–404, https://doi.org/10.5194/amt-13-373-2020, 2020.

Aerosol medication

Sogacheva, L., Rodriguez, E., Kolmonen, P., Virtanen, T. H., Saponaro, G., de Leeuw, G., Georgoulias, A. K., Alexandri, G., Kourtidis, K., and van der A, R. J.: Spatial and seasonal variations of aerosols over China from two decades of multi-satellite observations – Part 2: AOD time series for 1995–2017 combined from ATSR ADV and MODIS C6.1 and AOD tendency estimations, Atmos. Chem. Phys., 18, 16631–16652, https://doi.org/10.5194/acp-18-16631-2018, 2018.

The Aerosol project is rooted deeply into the developments of its predecessor project. Aerosol phase 1 and phase 2 project teams were composed of following partners:

C. E. Bulgin, C. J. Merchant, D. Ghent, L. Klüser, T. Popp, C. Poulsen, L. Sogacheva, Quantifying Uncertainty in Satellite-Retrieved Land Surface Temperature from Cloud Detection Errors, Remote Sensing, 10(4), 616; https://doi.org/10.3390/rs10040616, 2018.

de Leeuw, G., Sogacheva, L., Rodriguez, E., Kourtidis, K., Georgoulias, A. K., Alexandri, G., Amiridis, V., Proestakis, E., Marinou, E., Xue, Y., and van der A, R.: Two decades of satellite observations of AOD over mainland China using ATSR-2, AATSR and MODIS/Terra: data set evaluation and large-scale patterns, Atmos. Chem. Phys., 18, 1573–1592, https://doi.org/10.5194/acp-18-1573-2018, 2018.

What are aerosols in the atmosphere

The processing of long-term records (6-monthly extensions and complete reprocessing every 2-3 years) has been transferred to the Copernicus Climate Change Service since 2018 within the contracts C3S_312a_Lot5 (October 2016 – September 2018) and C3S_312b_Lot2 (October 2018 – June 2021).

Luffarelli, Marta, Yves Govaerts, and Lucio Franceschini. 2022. “Aerosol Optical Thickness Retrieval in Presence of Cloud: Application to S3A/SLSTR Observations.” Atmosphere 13 (5): 691. https://doi.org/10.3390/atmos13050691

Regardless of user experience level, ZOLL Dispatch reduces the guesswork of assigning the best crew option by ranking available resources based on proximity, real-time traffic, and road closures. Tap real-time situational analysis capabilities to select the fastest, most appropriate (BLS, ALS, etc.) vehicle to respond to an incoming call, or use real-time information to support at-post positioning decisions.

What Is aerosol in Chemistry

Use map-centric fleet monitoring to monitor your service area and the locations and status of your entire fleet and incidents in progress in a single view. Quickly scan vehicle or open incident status, or dig deeper to place crews strategically in anticipation of where they’ll be needed to respond faster to dynamic conditions.

The four AATSR data sets are similar in their quality over land to MODIS / MISR but with weaker coverage and less accuracy for high AOD values. The four ATSR-2 data sets cover a historic period observed by few other satellite aerosol sensors.

Aerosol Phase 1 ran July 2010 to February 2014; Phase 2 ran May 2014 to October 2019. Aerosol_cci+ Phase 1 extended from March 2019 to July 2022. A new project under the CCI extension for new research on aerosol ECVs is foreseen from December 2022 to run for 24 months.

The current Aerosol project, running March 2019 to February 2022, focuses on algorithm improvements for the dual view sensor line, in particular the Sentinel-3 SLSTR instrument together with two user case studies (data assimilation for climate services, and science modelling in radiative forcing) and community support (AEROSAT experiments, GEWEX assessment).

Since operational continuation of data (re-)processing has been transfer to the Copernicus Climate Change Service, more recent versions of updated / improved data records (also including successor sensors SLSTR and OLCI) are available at the Copernicus Climate Data Store

Popp Thomas, Michaela I. Hegglin, Rainer Hollmann, Fabrice Ardhuin, Annett Bartsch, Ana Bastos, Victoria Bennett, Jacqueline Boutin, Michael Buchwitz, Emilio Chuvieco, Philippe Ciais, Wouter Dorigo, Darren Ghent, Richard Jones, Thomas Lavergne, Christopher Merchant, Benoit Meyssignac, Frank Paul, Shaun Quegan, Tracy Scanlon, Marc Schröder, Stefan Simis, Ulrika Willén, Consistency of satellite climate data records for Earth system monitoring, Bulletin of the American Meteorological Society, 101 E1948–E1971., DOI10.1175/BAMS-D-19-0127.1, 2020

Types of aerosols

Aerosol vape

J. Christopher Kaiser, Johannes Hendricks, Mattia Righi, Patrick Jöckel, Holger Tost, Konrad Kandler, Bernadett Weinzierl, Daniel Sauer, Katharina Heimerl, Joshua P. Schwarz, Anne E. Perring, and Thomas Popp, Global aerosol modeling with MADE3 (v3.0) in EMAC (based on v2.53): model description and evaluation, Geoscientific Model Development, 12, 541–579, https://doi.org/10.5194/gmd-12-541-2019, 2019.

In response to the requirements of the Global Climate Observing System (GCOS) and the AEROCOM international modelling community, the two former phases of the Aerosol have focused on:

ZOLL Dispatch is the intelligent call taking and computer-aided dispatch (CAD) solution that enables your team to respond quickly and communicate effectively so you can deliver more quality outcomes.

Kylling, A., Vandenbussche, S., Capelle, V., Cuesta, J., Klüser, L., Lelli, L., Popp, T., Stebel, K., and Veefkind, P.: Comparison of dust layer heights from active and passive satellite sensors, Atmos. Meas. Tech., 11, 2911-2936, 2018, https://doi.org/10.5194/amt-11-2911-2018, 2018.

PARASOL / GRASP provides several consistent aerosol properties within one retrieval: AOD, Fine Mode AOD, Single Scattering Albedo.

Quickly getting the right level of care (BLS, ALS, etc.) to patients with as little manual labor as possible is a constant challenge. When seconds count, it’s imperative that call takers and dispatchers have the tools to align response with transport need and to optimally position vehicles for swift response. ZOLL Dispatch is a streamlined computer-aided dispatch (CAD) solution that enables your team to take calls and dispatch via a highly visual, single-source display. Built from the ground up with a user-centric design, our fully cloud-based solution automatically communicates response assignments to appropriate units, minimizing delays and helping you deliver more quality outcomes efficiently. You can take efficiency to the next level by adding the optional ZOLL Respond mobile companion app to field crew Android or iOS devices. Moreover, ZOLL Dispatch integrates with our cloud-based billing and ePCR solutions, ZOLL Billing and ZOLL emsCharts®.

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