Found 10177 publications. Showing page 380 of 408:
2010
2017
2020
The main goal for the “Towards better exploitation of Satellite data for monitoring Air Quality in Norway using
downscaling techniques” (Sat4AQN) project was to evaluate the potential of spatially downscaling satellite data using a
high-resolution Chemical Transport Model (CTM) to spatial scales that are more relevant for monitoring air quality in
urban areas and regional background sites in Norway. For this demonstration project, we focused on satellite aerosol
optical density (AOD) and particulate matter (PM) estimates.
NILU
2020
2003
2015
2015
2018
Towards crowd-sourced air quality and physical activity monitoring by a low-cost mobile platform. Lecture Notes in Computer Science, 9677
2016
Towards Net Zero: Evaluating Combined Terrestrial and Marine CDR Approaches
With the global annual mean temperature in 2024 exceeding 1.5°C above preindustrial levels, there is an urgent need to investigate pathways for returning the Earth system to lower temperature levels. In addition to stringent emission reduction, we need portfolios of Carbon Dioxide Removal (CDR) techniques to achieve the net-zero emission target. Therefore, it is crucial to evaluate various land and ocean-based CDRs for their effectiveness, environmental risks, and additional benefits.
This study evaluates the CO₂ sequestration potential and efficacy of two prominent CDR methods—Bioenergy with Carbon Capture and Storage (BECCS) and Ocean Alkalinity Enhancement (OAE)—applied both individually and in combination. Using the Norwegian Earth System Model (NorESM2-LM), simulations were designed with ramped-up CDR deployment, targeting 5.2 million km² of bioenergy feedstock for BECCS and a CaO deployment rate of 2.7 Gt/year for OAE by 2100 across the exclusive economic zones of Europe, the United States, and China. The results reveal a nearly additive carbon removal effect of BECCS and OAE. Over the period 2030-2100, OAE sequestered a total of 7 ppm of CO2 with an accumulated 82.3 Gt CaO, achieving a CDR effectiveness of 0.08 ppm per Gt of CaO, while BECCS removes 23 ppm of CO2, with CDR effectiveness of 3.1 ppm per million km² of bioenergy crops. The combined BECCS-OAE simulation offsets anthropogenic CO₂ emissions of 5.4 Gt/year by 2100—equivalent to over 60% of current global transport sector emissions. However, the combined CDR scenario shows negligible effects on the global annual mean temperature, with no clear response detectable against the high internal variability. This underscores the limitations of current CDR approaches in addressing climate warming over the 21st century and emphasizes the need for substantial emissions reductions, supportive policies and diversified CDR strategies to facilitate a return to lower global temperatures.
2025
Towards operational satellite based atmospheric monitoring in Norway SatMoNAir. NILU OR
The SatMoNAir project [NSC contract nr. JOP.12.12.2] builds on a previous NRS 'følgemiddel'-project, called `Roadmap towards EarthCARE and Sentinel 5 precursor', within which NILU and met.no developed a strategy for how best to prepare themselves for future European satellite missions for measuring atmospheric composition, with respect to their national monitoring, weather predictions and research tasks. Three specific topics were considered particularly relevant: a. Aerosols ¿Climate effects in Scandinavia and polar regions: analysis of episodes with high aerosol loads for Klif reporting, b. the Use of satellite based ozone measurements in national reporting, and c. Satellite based Air Quality monitoring of remote areas for EMEP reporting. Results from the work performed are described in this report. The outcomes of the project have been utilized in support of the National monitoring of greenhouse gases and aerosols (see Myhre et al., 2012), the atmospheric ozone layer (see Svendby et al., 2012), and have been reported to EMEP.
2013
2015
2014
2024
2022
The Pan-Eurasian Experiment Modelling Platform (PEEX-MP) is one of the key blocks of the PEEX Research Programme. The PEEX MP has more than 30 models and is directed towards seamless environmental prediction. The main focus area is the Arctic-boreal regions and China. The models used in PEEX-MP cover several main components of the Earth’s system, such as the atmosphere, hydrosphere, pedosphere and biosphere, and resolve the physical-chemical-biological processes at different spatial and temporal scales and resolutions. This paper introduces and discusses PEEX MP multi-scale modelling concept for the Earth system, online integrated, forward/inverse, and socioeconomical modelling, and other approaches with a particular focus on applications in the PEEX geographical domain. The employed high-performance computing facilities, capabilities, and PEEX dataflow for modelling results are described. Several virtual research platforms (PEEX-View, Virtual Research Environment, Web-based Atlas) for handling PEEX modelling and observational results are introduced. The overall approach allows us to understand better physical-chemical-biological processes, Earth’s system interactions and feedbacks and to provide valuable information for assessment studies on evaluating risks, impact, consequences, etc. for population, environment and climate in the PEEX domain. This work was also one of the last projects of Prof. Sergej Zilitinkevich, who passed away on 15 February 2021. Since the finalization took time, the paper was actually submitted in 2023 and we could not argue that the final paper text was agreed with him.
2024
2008
Towards the development of a commom EMEP global modeling framework. EMEP/MSC-W Technical report, 1/2008
2008
2014
2011
2007