Publications

AI-driven spatiotemporal quantification and prediction of soil salinity at European scale using the LUCAS database

Zarif, Mohammad Aziz; Hassani, Amirhossein; Panagos, Panos; Lebron, Inma; Robinson, David A.; Shokri, Nima

Advancing Air Quality Awareness and Action: Insights from the SOCIO-BEE Project on Community-Based Monitoring

Hassani, Amirhossein; Kyfonidis, Charalampos; Casado Mansilla, Diego; Salamalikis, Vasileios; Kotzagianni, Maria; Roussos, Anargyros; Castell, Nuria; Udina, Sergi; Morresi, Nicole; Casccia, Sara; Revel, Gian Marco; Angelis, Georgios-Fotios; Emvoliadis, Alexandros; Theodorou, Traianos-Ioannis; Karanassos, Dimitrios; Kopsacheilis, Evangelos; Drosou, Anastasios; Tzovaras, Dimitrios; Lopez, Carlos; Lisbona, Daniel

Evaluating Mobile Low-Cost Sensors for PM2.5 Monitoring: Lessons from Snifferbike Sensor Kits in Urban Settings

Hassani, Amirhossein; Castell, Nuria; Schneider, Philipp; Ekman, Karin

Integrating LUCAS data with AI-driven models for predicting soil Salinization across the EU

Zarif, Mohammad Aziz; Hassani, Amirhossein; Panagos, Panos; Lebron, Inma; Robinson, David A.; Shokri, Nima

Exceptional aerosol load observed in the Arctic during summer 2019

Herrero-Anta, S.; Mateos, D; Ritter, C.; Mazzola, M.; Stebel, Kerstin; Eckhardt, Sabine; Herrero del Barrio, C.; González-Fernández, D.; Román, R.; Toledano, C.

Arctic Peat and Forest Fires Look from Sentinel-5P

Aun, Margit; George, Jan-Peter; Stebel, Kerstin

The Global Fire Assimilation System (GFAS) & Peat fire emissions

Kaiser, Johannes; Stebel, Kerstin; Schneider, Philipp

Fine scAle eConomic daTa - FACT - Project Introduction

Boero, Riccardo

A Quantitative Model of Endogenous Climate Adaptation: Data Challenges, Validation, and Applications

Boero, Riccardo

Recent methane surges reveal heightened emissions from tropical inundated areas

Lin, Xin; Peng, Shushi; Ciais, Philippe; Hauglustaine, Didier; Lan, Xin; Liu, Gang; Ramonet, Michel; Xi, Yi; Yin, Yi; Zhang, Zhen; Bösch, Hartmut; Bousquet, Philippe; Chevallier, Frédéric; Dong, Bogang; Gerlein-Safdi, Cynthia; Halder, Santanu; Parker, Robert J.; Poulter, Benjamin; Pu, Tianjiao; Remaud, Marine; Runge, Alexandra; Saunois, Marielle; Thompson, Rona Louise; Yoshida, Yukio; Zheng, Bo

Record breaking atmospheric methane growth rates were observed in 2020
and 2021 (15.2±0.5 and 17.8±0.5 parts per billion per year), the highest since the
early 1980s. Here we use an ensemble of atmospheric inversions informed by
surface or satellite methane observations to infer emission changes during
these two years relative to 2019. Results show global methane emissions
increased by 20.3±9.9 and 24.8±3.1 teragrams per year in 2020 and 2021,
dominated by heightened emissions from tropical and boreal inundated areas,
aligning with rising groundwater storage and regional warming. Current
process-based wetland models fail to capture the tropical emission surges
revealed by atmospheric inversions, likely due to inaccurate representation of
wetland extents and associated methane emissions. Our findings underscore
the critical role of tropical inundated areas in the recent methane emission
surges and highlight the need to integrate multiple data streams and modeling
tools for better constraining tropical wetland emissions.

Springer Nature

Exploiting the information from low-cost AQ sensors by combination with other data

Schneider, Philipp

Atmospheric Supply of Nitrogen, Cadmium, Mercury and B(a)P to the Baltic Sea in 2022

Gauss, Michael; Travnikov, Oleg; Gačnik, Jan; Aas, Wenche; Klein, Heiko; Nyiri, Agnes

Norwegian Meteorological Institute