Articles | Volume 16, issue 10
https://doi.org/10.5194/acp-16-6335-2016
https://doi.org/10.5194/acp-16-6335-2016
Research article
 | Highlight paper
 | 
24 May 2016
Research article | Highlight paper |  | 24 May 2016

Will a perfect model agree with perfect observations? The impact of spatial sampling

Nick A. J. Schutgens, Edward Gryspeerdt, Natalie Weigum, Svetlana Tsyro, Daisuke Goto, Michael Schulz, and Philip Stier

Related authors

Assimilation of POLDER observations to estimate aerosol emissions
Athanasios Tsikerdekis, Otto P. Hasekamp, Nick A. J. Schutgens, and Qirui Zhong
Atmos. Chem. Phys., 23, 9495–9524, https://doi.org/10.5194/acp-23-9495-2023,https://doi.org/10.5194/acp-23-9495-2023, 2023
Short summary
Incorporation of aerosol into the COSPv2 satellite lidar simulator for climate model evaluation
Marine Bonazzola, Hélène Chepfer, Po-Lun Ma, Johannes Quaas, David M. Winker, Artem Feofilov, and Nick Schutgens
Geosci. Model Dev., 16, 1359–1377, https://doi.org/10.5194/gmd-16-1359-2023,https://doi.org/10.5194/gmd-16-1359-2023, 2023
Short summary
Satellite-based evaluation of AeroCom model bias in biomass burning regions
Qirui Zhong, Nick Schutgens, Guido van der Werf, Twan van Noije, Kostas Tsigaridis, Susanne E. Bauer, Tero Mielonen, Alf Kirkevåg, Øyvind Seland, Harri Kokkola, Ramiro Checa-Garcia, David Neubauer, Zak Kipling, Hitoshi Matsui, Paul Ginoux, Toshihiko Takemura, Philippe Le Sager, Samuel Rémy, Huisheng Bian, Mian Chin, Kai Zhang, Jialei Zhu, Svetlana G. Tsyro, Gabriele Curci, Anna Protonotariou, Ben Johnson, Joyce E. Penner, Nicolas Bellouin, Ragnhild B. Skeie, and Gunnar Myhre
Atmos. Chem. Phys., 22, 11009–11032, https://doi.org/10.5194/acp-22-11009-2022,https://doi.org/10.5194/acp-22-11009-2022, 2022
Short summary
Important role of stratospheric injection height for the distribution and radiative forcing of smoke aerosol from the 2019–2020 Australian wildfires
Bernd Heinold, Holger Baars, Boris Barja, Matthew Christensen, Anne Kubin, Kevin Ohneiser, Kerstin Schepanski, Nick Schutgens, Fabian Senf, Roland Schrödner, Diego Villanueva, and Ina Tegen
Atmos. Chem. Phys., 22, 9969–9985, https://doi.org/10.5194/acp-22-9969-2022,https://doi.org/10.5194/acp-22-9969-2022, 2022
Short summary
A quadcopter unmanned aerial system (UAS)-based methodology for measuring biomass burning emission factors
Roland Vernooij, Patrik Winiger, Martin Wooster, Tercia Strydom, Laurent Poulain, Ulrike Dusek, Mark Grosvenor, Gareth J. Roberts, Nick Schutgens, and Guido R. van der Werf
Atmos. Meas. Tech., 15, 4271–4294, https://doi.org/10.5194/amt-15-4271-2022,https://doi.org/10.5194/amt-15-4271-2022, 2022
Short summary

Related subject area

Subject: Aerosols | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Modeling simulation of aerosol light absorption over the Beijing–Tianjin–Hebei region: the impact of mixing state and aging processes
Huiyun Du, Jie Li, Xueshun Chen, Gabriele Curci, Fangqun Yu, Yele Sun, Xu Dao, Song Guo, Zhe Wang, Wenyi Yang, Lianfang Wei, and Zifa Wang
Atmos. Chem. Phys., 25, 5665–5681, https://doi.org/10.5194/acp-25-5665-2025,https://doi.org/10.5194/acp-25-5665-2025, 2025
Short summary
An investigation of the impact of Canadian wildfires on US air quality using model, satellite, and ground measurements
Zhixin Xue, Nair Udaysankar, and Sundar A. Christopher
Atmos. Chem. Phys., 25, 5497–5517, https://doi.org/10.5194/acp-25-5497-2025,https://doi.org/10.5194/acp-25-5497-2025, 2025
Short summary
How to trace the origins of short-lived atmospheric species: an Arctic example
Anderson Da Silva, Louis Marelle, Jean-Christophe Raut, Yvette Gramlich, Karolina Siegel, Sophie L. Haslett, Claudia Mohr, and Jennie L. Thomas
Atmos. Chem. Phys., 25, 5331–5354, https://doi.org/10.5194/acp-25-5331-2025,https://doi.org/10.5194/acp-25-5331-2025, 2025
Short summary
Dust-producing weather patterns of the North American Great Plains
Stuart Evans
Atmos. Chem. Phys., 25, 4833–4845, https://doi.org/10.5194/acp-25-4833-2025,https://doi.org/10.5194/acp-25-4833-2025, 2025
Short summary
High-resolution air quality maps for Bucharest using a mixed-effects modeling framework
Camelia Talianu, Jeni Vasilescu, Doina Nicolae, Alexandru Ilie, Andrei Dandocsi, Anca Nemuc, and Livio Belegante
Atmos. Chem. Phys., 25, 4639–4654, https://doi.org/10.5194/acp-25-4639-2025,https://doi.org/10.5194/acp-25-4639-2025, 2025
Short summary

Cited articles

Ackermann, I. J., Hass, H., Memmesheimer, M., Ebel, A., Binkowski, F. S., and Shankar, U. M. A.: MODAL AEROSOL DYNAMICS MODEL FOR EUROPE: DEVELOPMENT AND FIRST APPLICATIONS, Atmos. Environ., 32, 2981–2999, 1998.
Albrecht, B. A.: Aerosols, cloud microphysics, and fractional cloudiness, Science, 245, 1227–1230, 1989.
Anderson, T. E., Charlson, R. J., Winker, D. M., Ogren, J. A., and Holmen, K.: Mesoscale Variations of Tropospheric Aerosols, J. Atmos. Sci., 60, 119–136, 2003.
Angstrom, B. A.: Atmospheric turbidity , global illumination and planetary albedo of the earth, Tellus, XIV, 435–450, 1962.
Ballester, J., Burns, J. C., Cayan, D., Nakamura, Y., Uehara, R., and Rodó, X.: Kawasaki disease and ENSO-driven wind circulation, Geophys. Res. Lett., 40, 2284–2289, https://doi.org/10.1002/grl.50388, 2013.
Download
Short summary
We show that evaluating global aerosol model data with observations of very different spatial scales (200 vs. 10 km) can lead to large discrepancies, solely due to different spatial sampling. Strategies for reducing these sampling errors are developed and tested using a set of high-resolution model simulations.
Share
Altmetrics
Final-revised paper
Preprint