Article
Meteorology & Atmospheric Sciences
Xueying Cheng, Li Yi, Joerg Bendix
Summary: Cloud top height (CTH) is crucial in Earth's radiation budget and climate change. This study examines the impact of higher-resolution imagery (MODIS) on CTH retrieval, proposing a method combining CETH and cloud top brightness temperature for improved accuracy. Validation over the Arctic Ocean using CALIPSO and radiosonde data shows that the cloud-shadow method (CSM) performs better than operational MODIS CTH product, especially for double-deck cloud systems.
ATMOSPHERIC RESEARCH
(2021)
Article
Environmental Sciences
Nicolae Ajtai, Alexandru Mereuta, Horatiu Stefanie, Andrei Radovici, Camelia Botezan, Olga Zawadzka-Manko, Iwona S. Stachlewska, Kerstin Stebel, Claus Zehner
Summary: This study validates the AOD retrieved from SEVIRI data by comparing it with AERONET, Poland-AOD, and MODIS data. The results show that the SEVIRI AOD has the best correlation with AERONET, followed by Poland-AOD and MODIS. A revised uncertainty estimate is proposed based on the observed bias from the AERONET validation efforts.
Article
Meteorology & Atmospheric Sciences
A. Aravindhavel, Goutam Choudhury, Thara Prabhakaran, P. Murugavel, Matthias Tesche
Summary: The estimation of cloud condensation nuclei (CCN) concentration is crucial for aerosol-cloud interaction (ACI) studies. However, acquiring long-term CCN measurements is challenging, leading to the use of aerosol optical properties as proxies of CCN. In this study, we used CALIPSO data and an algorithm called OMCAM to estimate height-resolved CCN and validated it with in-situ CCN measurements from CAIPEEX. Results showed a reasonable agreement but also an overestimation of N-CCN by CALIPSO.
ATMOSPHERIC RESEARCH
(2023)
Article
Environmental Sciences
Kang Yang, Zhien Wang, Min Deng, Brennan Dettmann
Summary: In this study, the combination of CloudSat/CALIPSO and MODIS measurements provides detailed convective cloud structures and convective core structures in tropical regions. The observations also offer insights into the land/ocean and day/night variations of convective systems. These findings are crucial for model evaluations.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Environmental Sciences
Baiwan Pan, Dantong Liu, Kanike Raghavendra Kumar, Min Wang, N. S. M. P. Latha Devi
Summary: The study explores the comparison of spatiotemporal distributions of maritime cloud top height (CTH) and aerosol optical depth (AOD) between CALIPSO and MODIS, revealing discrepancies in the identification of marine low clouds and the influence of different types of aerosols on these clouds. The annual total agreement between CALIPSO and MODIS is around 72.2%/69.5% during the daytime/nighttime for marine low clouds (MLC) and not marine low clouds (NMLC). Furthermore, different aerosol types have varying effects on MLC, with clean marine aerosols tending to invigorate MLC, desert dust aerosols inhibiting MLC, and mixed aerosols showing significant effects possibly due to the contrasting effects of clean marine and desert dust aerosols.
ATMOSPHERIC ENVIRONMENT
(2021)
Article
Environmental Sciences
Kang Yang, Zhien Wang, Min Deng, Brennan Dettmann
Summary: This study develops a tropical DCC detection approach for MODIS observations, which combines brightness temperatures and derived variables with a machine learning model, leading to improved accuracy and skill score. The new algorithm shows small biases in DCC's total amount and spatial distribution compared to CloudSat results.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Geochemistry & Geophysics
Qing Wang, Yingcheng Lu, Chuanmin Hu, Yongxiang Hu, Minwei Zhang, Junnan Jiao, Jilian Xiong, Yongxue Liu, Zhenke Zhang
Summary: The study uses MODIS images to map smoke concentration over the ocean by distinguishing between smoke and clouds based on water vapor absorption and thermal characteristics. A decision-tree method is developed to separate smoke from clouds. The approach shows promising results in validating smoke distribution and concentration during the recent Australia fires.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Christopher R. Yost, Patrick Minnis, Sunny Sun-Mack, Yan Chen, William L. Smith
Summary: Cloud retrievals from the Clouds and the Earth's Radiant Energy System Edition 4 (Ed4) were compared with CALIOP and CPR retrievals, showing consistent cloud phase detection in 70%-98% of simultaneous observations. MODIS water cloud fraction was generally greater than CALIOP, while ice cloud fraction was lower. Differences in ice cloud base altitude may be influenced by radar detection limitations.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
Article
Forestry
Wenjia Wang, Qixing Zhang, Ranran Zhao, Jie Luo, Yongming Zhang
Summary: This study used various data sources and models to calculate the smoke injection height (SIH) during peak forest and grassland fire seasons in Southwest China. The results showed that SIH values ranged from 2500 m to 2890 m. The analysis revealed that there was no obvious correlation between SIH and fire radiative power (FRP), suggesting that factors other than FRP also play a significant role in determining SIH. The study also found that topography and wind can affect SIH by influencing fire intensity and interactions. Additionally, a higher percentage of SIHs were found to be above the boundary layer, indicating that smoke can cause air pollution over larger areas in Southwest China.
Article
Environmental Sciences
Karl-Goeran Karlsson, Erik Johansson, Nina Hakansson, Joseph Sedlar, Salomon Eliasson
Article
Behavioral Sciences
Benjamin A. Taylor, Alessandro Cini, Rita Cervo, Max Reuter, Seirian Sumner
BEHAVIORAL ECOLOGY
(2020)
Article
Environmental Sciences
Franck Lespinas, Yilong Wang, Gregoire Broquet, Francois-Marie Breon, Michael Buchwitz, Maximilian Reuter, Yasjka Meijer, Armin Loescher, Greet Janssens-Maenhout, Bo Zheng, Philippe Ciais
CARBON BALANCE AND MANAGEMENT
(2020)
Article
Evolutionary Biology
Lorcan Carnegie, Max Reuter, Kevin Fowler, Nick Lane, M. Florencia Camus
Summary: The study examines the mother's curse hypothesis through a large Drosophila mitonuclear genetic panel and finds high levels of mitonuclear epistasis, revealing that mitochondrial genetic variance is larger in male than female Drosophila for eight out of the nine nuclear genetic backgrounds used. This suggests that maternal inheritance of mitochondrial DNA does indeed modulate male life history traits in a more generalizable way than previously thought.
Article
Genetics & Heredity
Filip Ruzicka, Tim Connallon, Max Reuter
Summary: The study combines quantitative genetics and molecular population genetics to comprehensively analyze the reproductive fitness of male and female Drosophila melanogaster. While no clear evidence of sex differences in the strength of purifying selection was found, differences in ploidy between sexes generate signals of enhanced purifying selection for X-linked loci.
Article
Environmental Sciences
Thomas Kaminski, Marko Scholze, Peter Rayner, Michael Vossbeck, Michael Buchwitz, Maximilian Reuter, Wolfgang Knorr, Hans Chen, Anna Agusti-Panareda, Armin Loscher, Yasjka Meijer
Summary: This study provides a novel assessment of the potential of the CO2 Monitoring Mission (CO2M) in constraining fossil fuel CO2 emission estimates. The results show that CO2M can provide independent weekly estimates of country-scale fossil fuel emissions, with uncertainties comparable to those from national inventories. An alternative synergistic mode of operation is also proposed, which incorporates both CO2M measurements and inventory information to deliver a best estimate of fossil fuel emissions.
ENVIRONMENTAL RESEARCH LETTERS
(2022)
Editorial Material
Biochemistry & Molecular Biology
Filip Ruzicka, Max Reuter
Summary: A new study in Drosophila serrata reveals the association between sexually antagonistic selection on cuticular hydrocarbons and a major-effect gene.
Article
Meteorology & Atmospheric Sciences
Stefan Noel, Maximilian Reuter, Michael Buchwitz, Jakob Borchardt, Michael Hilker, Oliver Schneising, Heinrich Bovensmann, John P. Burrows, Antonio Di Noia, Robert J. Parker, Hiroshi Suto, Yukio Yoshida, Matthias Buschmann, Nicholas M. Deutscher, Dietrich G. Feist, David W. T. Griffith, Frank Hase, Rigel Kivi, Cheng Liu, Isamu Morino, Justus Notholt, Young-Suk Oh, Hirofumi Ohyama, Christof Petri, David F. Pollard, Markus Rettinger, Coleen Roehl, Constantina Rousogenous, Mahesh Kumar Sha, Kei Shiomi, Kimberly Strong, Ralf Sussmann, Yao Te, Voltaire A. Velazco, Mihalis Vrekoussis, Thorsten Warneke
Summary: This study applies the updated version of the Fast atmOspheric traCe gAs retrievaL (FOCAL) method to measurements from the Greenhouse gases Observing SATellite (GOSAT) and its successor GOSAT-2. The study focuses on estimating methane, water vapor, and the ratio of semi-heavy water to water vapor, and also presents preliminary results for carbon monoxide and nitrous oxide. The updated FOCAL retrieval method significantly increases the number of valid data for carbon dioxide measurements, and shows reasonable spatial distribution and temporal variations.
ATMOSPHERIC MEASUREMENT TECHNIQUES
(2022)
Article
Remote Sensing
Thomas Kaminski, Marko Scholze, Peter Rayner, Sander Houweling, Michael Vossbeck, Jeremy Silver, Srijana Lama, Michael Buchwitz, Maximilian Reuter, Wolfgang Knorr, Hans W. Chen, Gerrit Kuhlmann, Dominik Brunner, Stijn Dellaert, Hugo Denier van der Gon, Ingrid Super, Armin Loescher, Yasjka Meijer
Summary: The European Copernicus programme plans to install a constellation of multiple polar orbiting satellites for observing atmospheric CO2 content. The measurements of XCO2 and aerosols provide a powerful constraint on emissions from power plants and other industrial sectors. The assessments reveal the complex structure of the footprint of an observed CO2 column, indicating the limits of simple mass balances approaches for interpretation of such observations.
FRONTIERS IN REMOTE SENSING
(2022)
Review
Remote Sensing
Gianpaolo Balsamo, Richard Engelen, Daniel Thiemert, Anna Agusti-Panareda, Nicolas Bousserez, Gregoire Broquet, Dominik Brunner, Michael Buchwitz, Frederic Chevallier, Margarita Choulga, Hugo Denier Van Der Gon, Liesbeth Florentie, Jean-Matthieu Haussaire, Greet Janssens-Maenhout, Matthew W. Jones, Thomas Kaminski, Maarten Krol, Corinne Le Quere, Julia Marshall, Joe McNorton, Pascal Prunet, Maximilian Reuter, Wouter Peters, Marko Scholze
Summary: The text discusses the Paris Agreement on climate change and the European Commission's initiative to develop a Copernicus service element for monitoring anthropogenic CO2 emissions. The CHE project has made progress in producing global, regional, and local CO2 simulations and using Earth observations to enhance CO2 monitoring.
FRONTIERS IN REMOTE SENSING
(2021)
Article
Meteorology & Atmospheric Sciences
Michael Buchwitz, Maximilian Reuter, Stefan Noel, Klaus Bramstedt, Oliver Schneising, Michael Hilker, Blanca Fuentes Andrade, Heinrich Bovensmann, John P. Burrows, Antonio Di Noia, Hartmut Boesch, Lianghai Wu, Jochen Landgraf, Ilse Aben, Christian Retscher, Christopher W. O'Dell, David Crisp
Summary: The study examined the reduction of anthropogenic CO2 emissions in East China during the COVID-19 pandemic by analyzing space-based observations of atmospheric CO2. Results showed a decrease in emissions by approximately 10% in March and April 2020, but with significant variability and differences across the satellite data products analyzed. Challenges in accurately detecting and quantifying emission reductions with current satellite datasets were highlighted, suggesting a need for more sophisticated analysis methods incorporating transport modeling and a priori information on CO2 surface fluxes.
ATMOSPHERIC MEASUREMENT TECHNIQUES
(2021)
Article
Meteorology & Atmospheric Sciences
Maximilian Reuter, Heinrich Bovensmann, Michael Buchwitz, Jakob Borchardt, Sven Krautwurst, Konstantin Gerilowski, Matthias Lindauer, Dagmar Kubistin, John P. Burrows
Summary: Reducing anthropogenic CO2 emissions is necessary to address man-made climate change. Global monitoring systems and UAV-based measurements are crucial for verifying mitigation strategies and providing cost-effective solutions.
ATMOSPHERIC MEASUREMENT TECHNIQUES
(2021)
Article
Geosciences, Multidisciplinary
Salomon Eliasson, Karl-Goran Karlsson, Ulrika Willen
GEOSCIENTIFIC MODEL DEVELOPMENT
(2020)
Article
Environmental Sciences
Nikos Benas, Jan Fokke Meirink, Karl-Goran Karlsson, Martin Stengel, Piet Stammes
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2020)
Article
Meteorology & Atmospheric Sciences
Stefan Noeel, Maximilian Reuter, Michael Buchwitz, Jakob Borchardt, Michael Hilker, Heinrich Bovensmann, John P. Burrows, Antonio Di Noia, Hiroshi Suto, Yukio Yoshida, Matthias Buschmann, Nicholas M. Deutscher, Dietrich G. Feist, David W. T. Griffith, Frank Hase, Rigel Kivi, Isamu Morino, Justus Notholt, Hirofumi Ohyama, Christof Petri, James R. Podolske, David F. Pollard, Mahesh Kumar Sha, Kei Shiomi, Ralf Sussmann, Yao Te, Voltaire A. Velazco, Thorsten Warneke
Summary: The FOCAL algorithm has been successfully applied to derive CO2 data from GOSAT and GOSAT-2 radiances, showing promising results. By utilizing both S- and P-polarisation spectra in the retrieval, the new application allows for the derivation of various atmospheric constituents beyond CO2. The accuracy of FOCAL and the preliminary comparisons with other data sets suggest its potential as a reliable tool for monitoring greenhouse gas concentrations.
ATMOSPHERIC MEASUREMENT TECHNIQUES
(2021)