Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Errors in Global Positioning System01:26

Errors in Global Positioning System

39
Global Positioning System (GPS) technology has revolutionized navigation and positioning, but its accuracy is often compromised by various errors. These errors, stemming from environmental, satellite, and receiver-related factors, require careful mitigation to ensure reliable performance across applications.Atmospheric ErrorsGPS signals travel through the Earth’s ionosphere and troposphere, introducing delays which affect accuracy. The ionosphere is strongly influenced by charged particles,...
39
What is Climate?01:16

What is Climate?

18.4K
Climate refers to the prevailing weather conditions in a specific area over an extended period. As the saying goes, “Climate is what you expect. Weather is what you get.” Climate is influenced by geographic factors, such as latitude, terrain, and proximity to bodies of water.
18.4K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Comparison of Policy-Relevant Air Quality Metrics Calculated With Sparse In Situ Monitoring and Contiguous Satellite-Derived Data.

GeoHealth·2026
Same author

Applying Satellite-Derived PM<sub>2.5</sub> Data to Policy-Relevant Air Quality Metrics.

GeoHealth·2026
Same author

Differential Reductions in Total and Compositional PM<sub>2.5</sub> Exposure across Socioeconomic and Demographic Groups from Emission Source Mitigation in Canada (2007-2016).

Environmental science & technology·2026
Same author

The unique effects of chronic exposure to ambient fine particulate matter and indoor radon on subcortical brain morphology in youth.

Neurotoxicology·2026
Same author

Improving Inference in Air Pollution Epidemiology: The Case for Rethinking Multipollutant Adjustment.

Epidemiology (Cambridge, Mass.)·2026
Same author

Enhancing Estimation of Fine Particulate Matter Chemical Composition across North America by Including Geophysical <i>A Priori</i> Information in Deep Learning with Uncertainty Quantification.

ACS ES&T air·2026

Related Experiment Video

Updated: Jun 12, 2025

Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements
10:22

Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements

Published on: September 7, 2019

8.2K

Impact of Model Spatial Resolution on Global Geophysical Satellite-Derived Fine Particulate Matter.

Dandan Zhang1, Randall V Martin1, Aaron van Donkelaar1

  • 1Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States.

ACS ES&T Air
|September 19, 2024
PubMed
Summary

Global satellite-derived fine particulate matter (PM2.5) estimates show similar results across different model resolutions. However, finer resolutions better capture pollution details in complex terrains, impacting PM2.5 inference accuracy.

More Related Videos

Measurement of Aerosols Optical Thickness of the Atmosphere using the GLOBE Handheld Sun Photometer
06:27

Measurement of Aerosols Optical Thickness of the Atmosphere using the GLOBE Handheld Sun Photometer

Published on: May 29, 2019

7.9K
Evaluating Regional Pulmonary Deposition using Patient-Specific 3D Printed Lung Models
07:56

Evaluating Regional Pulmonary Deposition using Patient-Specific 3D Printed Lung Models

Published on: November 11, 2020

4.2K

Related Experiment Videos

Last Updated: Jun 12, 2025

Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements
10:22

Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements

Published on: September 7, 2019

8.2K
Measurement of Aerosols Optical Thickness of the Atmosphere using the GLOBE Handheld Sun Photometer
06:27

Measurement of Aerosols Optical Thickness of the Atmosphere using the GLOBE Handheld Sun Photometer

Published on: May 29, 2019

7.9K
Evaluating Regional Pulmonary Deposition using Patient-Specific 3D Printed Lung Models
07:56

Evaluating Regional Pulmonary Deposition using Patient-Specific 3D Printed Lung Models

Published on: November 11, 2020

4.2K

Area of Science:

  • Atmospheric Science
  • Environmental Science
  • Geophysics

Background:

  • Global ambient fine particulate matter (PM2.5) estimation uses satellite aerosol optical depth (AOD) and a geophysical relationship (η) from chemical transport models.
  • The impact of model resolution on the simulated geophysical relationship (η) requires further investigation for accurate PM2.5 inference.

Purpose of the Study:

  • To investigate the resolution dependence of the geophysical relationship (η) used for satellite-derived PM2.5.
  • To assess the impact of different model resolutions on PM2.5 inference from satellite AOD.

Main Methods:

  • Calculated geophysical PM2.5 using simulated η from the GEOS-Chem model (GCHP) at C360 (~25 km) and C48 (~200 km) resolutions.
  • Utilized satellite AOD data at 0.01° (~1 km) resolution.
  • Compared annual geophysical PM2.5 concentrations derived from satellite AOD and GCHP simulations at varying resolutions.

Main Results:

  • Annual geophysical PM2.5 concentrations showed remarkable similarity (R² = 0.96, slope = 1.03) between ~25 km and ~200 km resolutions.
  • Finer resolution led to increased differences for primary species (5-11%) and decreased differences for secondary species (-30% to -5%).
  • Higher resolution sensitivity of η was observed over isolated pollution sources and mountainous regions.

Conclusions:

  • Global PM2.5 inference from satellite AOD is broadly similar across different model resolutions.
  • Model resolution significantly impacts the representation of near-surface concentrations and vertical distribution of chemical species.
  • Resolution-dependent sensitivities of η highlight the importance of appropriate model resolution for accurate ground-level PM2.5 inference.