Articles | Volume 23, issue 16
https://doi.org/10.5194/acp-23-9323-2023
https://doi.org/10.5194/acp-23-9323-2023
Research article
 | 
24 Aug 2023
Research article |  | 24 Aug 2023

Modeling atmosphere–land interactions at a rainforest site – a case study using Amazon Tall Tower Observatory (ATTO) measurements and reanalysis data

Amelie U. Schmitt, Felix Ament, Alessandro C. de Araújo, Marta Sá, and Paulo Teixeira

Related authors

Attributing near-surface atmospheric trends in the Fram Strait region to regional sea ice conditions
Amelie U. Schmitt and Christof Lüpkes
The Cryosphere, 17, 3115–3136, https://doi.org/10.5194/tc-17-3115-2023,https://doi.org/10.5194/tc-17-3115-2023, 2023
Short summary
Observations of marine cold-air outbreaks: a comprehensive data set of airborne and dropsonde measurements from the Springtime Atmospheric Boundary Layer Experiment (STABLE)
Janosch Michaelis, Amelie U. Schmitt, Christof Lüpkes, Jörg Hartmann, Gerit Birnbaum, and Timo Vihma
Earth Syst. Sci. Data, 14, 1621–1637, https://doi.org/10.5194/essd-14-1621-2022,https://doi.org/10.5194/essd-14-1621-2022, 2022
Short summary
A lead-width distribution for Antarctic sea ice: a case study for the Weddell Sea with high-resolution Sentinel-2 images
Marek Muchow, Amelie U. Schmitt, and Lars Kaleschke
The Cryosphere, 15, 4527–4537, https://doi.org/10.5194/tc-15-4527-2021,https://doi.org/10.5194/tc-15-4527-2021, 2021
Short summary
Brief Communication: Trends in sea ice extent north of Svalbard and its impact on cold air outbreaks as observed in spring 2013
A. Tetzlaff, C. Lüpkes, G. Birnbaum, J. Hartmann, T. Nygård, and T. Vihma
The Cryosphere, 8, 1757–1762, https://doi.org/10.5194/tc-8-1757-2014,https://doi.org/10.5194/tc-8-1757-2014, 2014
The impact of heterogeneous surface temperatures on the 2-m air temperature over the Arctic Ocean under clear skies in spring
A. Tetzlaff, L. Kaleschke, C. Lüpkes, F. Ament, and T. Vihma
The Cryosphere, 7, 153–166, https://doi.org/10.5194/tc-7-153-2013,https://doi.org/10.5194/tc-7-153-2013, 2013

Related subject area

Subject: Climate and Earth System | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Can general circulation models (GCMs) represent cloud liquid water path adjustments to aerosol–cloud interactions?
Johannes Mülmenstädt, Andrew S. Ackerman, Ann M. Fridlind, Meng Huang, Po-Lun Ma, Naser Mahfouz, Susanne E. Bauer, Susannah M. Burrows, Matthew W. Christensen, Sudhakar Dipu, Andrew Gettelman, L. Ruby Leung, Florian Tornow, Johannes Quaas, Adam C. Varble, Hailong Wang, Kai Zhang, and Youtong Zheng
Atmos. Chem. Phys., 24, 13633–13652, https://doi.org/10.5194/acp-24-13633-2024,https://doi.org/10.5194/acp-24-13633-2024, 2024
Short summary
Constraining net long-term climate feedback from satellite-observed internal variability possible by the mid-2030s
Alejandro Uribe, Frida A.-M. Bender, and Thorsten Mauritsen
Atmos. Chem. Phys., 24, 13371–13384, https://doi.org/10.5194/acp-24-13371-2024,https://doi.org/10.5194/acp-24-13371-2024, 2024
Short summary
Investigation of the characteristics of low-level jets over North America in a convection-permitting Weather Research and Forecasting simulation
Xiao Ma, Yanping Li, Zhenhua Li, and Fei Huo
Atmos. Chem. Phys., 24, 12013–12030, https://doi.org/10.5194/acp-24-12013-2024,https://doi.org/10.5194/acp-24-12013-2024, 2024
Short summary
Impacts of tropical cyclone–heat wave compound events on surface ozone in eastern China: comparison between the Yangtze River and Pearl River deltas
Cuini Qi, Pinya Wang, Yang Yang, Huimin Li, Hui Zhang, Lili Ren, Xipeng Jin, Chenchao Zhan, Jianping Tang, and Hong Liao
Atmos. Chem. Phys., 24, 11775–11789, https://doi.org/10.5194/acp-24-11775-2024,https://doi.org/10.5194/acp-24-11775-2024, 2024
Short summary
The 2023 global warming spike was driven by the El Niño–Southern Oscillation
Shiv Priyam Raghuraman, Brian Soden, Amy Clement, Gabriel Vecchi, Sofia Menemenlis, and Wenchang Yang
Atmos. Chem. Phys., 24, 11275–11283, https://doi.org/10.5194/acp-24-11275-2024,https://doi.org/10.5194/acp-24-11275-2024, 2024
Short summary

Cited articles

Andreae, M. O., Acevedo, O. C., Araùjo, A., Artaxo, P., Barbosa, C. G. G., Barbosa, H. M. J., Brito, J., Carbone, S., Chi, X., Cintra, B. B. L., da Silva, N. F., Dias, N. L., Dias-Júnior, C. Q., Ditas, F., Ditz, R., Godoi, A. F. L., Godoi, R. H. M., Heimann, M., Hoffmann, T., Kesselmeier, J., Könemann, T., Krüger, M. L., Lavric, J. V., Manzi, A. O., Lopes, A. P., Martins, D. L., Mikhailov, E. F., Moran-Zuloaga, D., Nelson, B. W., Nölscher, A. C., Santos Nogueira, D., Piedade, M. T. F., Pöhlker, C., Pöschl, U., Quesada, C. A., Rizzo, L. V., Ro, C.-U., Ruckteschler, N., Sá, L. D. A., de Oliveira Sá, M., Sales, C. B., dos Santos, R. M. N., Saturno, J., Schöngart, J., Sörgel, M., de Souza, C. M., de Souza, R. A. F., Su, H., Targhetta, N., Tóta, J., Trebs, I., Trumbore, S., van Eijck, A., Walter, D., Wang, Z., Weber, B., Williams, J., Winderlich, J., Wittmann, F., Wolff, S., and Yáñez Serrano, A. M.: The Amazon Tall Tower Observatory (ATTO): overview of pilot measurements on ecosystem ecology, meteorology, trace gases, and aerosols, Atmos. Chem. Phys., 15, 10723–10776, https://doi.org/10.5194/acp-15-10723-2015, 2015. a, b
Anwar, S. A., Reboita, M. S., and Llopart, M.: On the sensitivity of the Amazon surface climate to two land-surface hydrology schemes using a high-resolution regional climate model (RegCM4), Int. J. Climatol., 42, 2311–2327, https://doi.org/10.1002/joc.7367, 2022. a
Araújo, A., Sörgel, M. and Manzi, A.: Micrometeorologic dataset – Eddy Covariance System 2014–2018, Max Planck Institute for Biogeochemistry [data set], https://www.attodata.org/, 2021a. 
Araújo, A., Sörgel, M., and Manzi, A.: Micrometeorologic dataset – Weather Station (AWS) 2014–2018, Max Planck Institute for Biogeochemistry [data set], https://www.attodata.org, 2021b. 
Ardilouze, C., Batté, L., Bunzel, F., Decremer, D., Déqué, M., Doblas-Reyes, F. J., Douville, H., Fereday, D., Guemas, V., MacLachlan, C., Müller, W., and Prodhomme, C.: Multi-model assessment of the impact of soil moisture initialization on mid-latitude summer predictability, Clim. Dynam., 49, 3959–3974, https://doi.org/10.1007/s00382-017-3555-7, 2017. a
Download
Short summary
Tall vegetation in forests affects the exchange of heat and moisture between the atmosphere and the land surface. We compared measurements from the Amazon Tall Tower Observatory to results from a land surface model to identify model shortcomings. Our results suggest that soil temperatures in the model could be improved by incorporating a separate canopy layer which represents the heat storage within the forest.
Altmetrics
Final-revised paper
Preprint