Automated atmospheric profiling with the Robotic Lift (RoLi) at the Amazon Tall Tower Observatory

Abstract. The Amazon rain forest plays an important role in the biogeochemistry, water cycle, and climate of the South American continent and the Earth system. The Amazon Tall Tower Observatory (ATTO) has been established to study and quantify forest–atmosphere interactions under natural conditions, as well as the transformation of the Amazon ecosystem as a result of increasing perturbations related to deforestation and climate change. Here, we present the design and first results of a custom-made Robotic Lift system, RoLi, installed to automatically measure high-resolution vertical profiles along the 325 m tall ATTO tower at high spatial and temporal resolution at vertical profiling speeds up to 0.5 m s−1. The RoLi payload of up to 80 kg can be flexibly adjusted and comprises meteorological, trace gas, and aerosol instruments with short inlet lines, minimizing potential wall losses and related artifacts that may occur in longer sampling tubes of tall towers. First measurement results show spatiotemporal patterns in the altitude profiles of temperature, humidity, fog, and aerosol particle concentration and size. This proves RoLi's technical capability to resolve the diel interplay of convectively mixed daytime and stable stratified nighttime conditions. The RoLi data will help to better constrain the gradients and exchange of air masses, gases, and particles across the forest–atmosphere interface and related mixing processes in the lowermost planetary boundary layer.

Authors

Institutions

Publication Details

Journal
Atmospheric measurement techniques
Published
2026-01-06
DOI
https://doi.org/10.5194/amt-19-101-2026
Primary Topic
Atmospheric aerosols and clouds
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Automated atmospheric profiling with the Robotic Lift (RoLi) at the Amazon Tall Tower Observatory

C. Pöhlker, Stefan Wolff, Jan‐David Förster, Thomas Klimach et al.
Atmospheric measurement techniques
Atmospheric aerosols and clouds
article

Automated atmospheric profiling with the Robotic Lift (RoLi) at the Amazon Tall Tower Observatory

C. Pöhlker, Stefan Wolff, Jan‐David Förster, Thomas Klimach, Bettina Weber, Mark Lamneck, Sebastian Brill, Thomas Kenntner, Ulrich Pöschl, Florian Ditas, P. Artaxo, Rafael Valiati, Björn Nillius, Christian Gurk, Dennis Geis
article en

Abstract

Abstract. The Amazon rain forest plays an important role in the biogeochemistry, water cycle, and climate of the South American continent and the Earth system. The Amazon Tall Tower Observatory (ATTO) has been established to study and quantify forest–atmosphere interactions under natural conditions, as well as the transformation of the Amazon ecosystem as a result of increasing perturbations related to deforestation and climate change. Here, we present the design and first results of a custom-made Robotic Lift system, RoLi, installed to automatically measure high-resolution vertical profiles along the 325 m tall ATTO tower at high spatial and temporal resolution at vertical profiling speeds up to 0.5 m s−1. The RoLi payload of up to 80 kg can be flexibly adjusted and comprises meteorological, trace gas, and aerosol instruments with short inlet lines, minimizing potential wall losses and related artifacts that may occur in longer sampling tubes of tall towers. First measurement results show spatiotemporal patterns in the altitude profiles of temperature, humidity, fog, and aerosol particle concentration and size. This proves RoLi's technical capability to resolve the diel interplay of convectively mixed daytime and stable stratified nighttime conditions. The RoLi data will help to better constrain the gradients and exchange of air masses, gases, and particles across the forest–atmosphere interface and related mixing processes in the lowermost planetary boundary layer.

Atmospheric measurement techniquesVol. 19(1)
University of Graz (AT), Deutscher Wetterdienst (DE), Universidade de São Paulo (BR), Max Planck Institute for Chemistry (DE), Leibniz Institute for Tropospheric Research (DE), Hessian Agency for Nature Conservation, Environment and Geology (DE)
Bundesministerium für Bildung und Forschung, Austrian Science Fund, Ministério da Ciência, Tecnologia e Inovação, Max-Planck-Gesellschaft, Financiadora de Estudos e Projetos, Fundação de Amparo à Pesquisa do Estado do Amazonas, Instituto Nacional de Pesquisas da Amazônia, Karl-Franzens-Universität Graz
Openalex Percentile: Top 97%
Atmospheric aerosols and clouds
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.