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Found 9759 publications. Showing page 315 of 391:

Publication  
Year  
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SEN4POL – Towards a Sentinel-based pollen information service

Schneider, Philipp; Hamer, Paul David; Vogt, Matthias; Trier, Øivind Due; Solberg, Rune; Skogesal, Hogne; Brobakk, Trond Einar; Ramfjord, Hallvard

2020

SEN4POL – Towards a Sentinel-based pollen information service

Schneider, Philipp; Hamer, Paul David; Vogt, Matthias; Trier, Øivind Due; Solberg, Rune; Skogesal, Hogne; Brobakk, Trond Einar; Ramfjord, Hallvard

2020

SEN4POL Phase-1: Final Scientific Report

Schneider, Philipp; Hamer, Paul David; Trier, Øivind Due; Solberg, Rune; Ramfjord, Hallvard; Brobakk, Trond Einar; Skogesal, Hogne

Norsk institutt for luftforskning

2019

SensEURCity: A multi-city air quality dataset collected for 2020/2021 using open low-cost sensor systems

Van Poppel, Martine; Schneider, Philipp; Peters, Jan; Yatkin, Sinan; Gerboles, Michel; Matheeussen, Christina; Bartonova, Alena; Davila, Silvije; Signorini, Marco; Vogt, Matthias; Dauge, Franck Rene; Skaar, Jøran Solnes; Haugen, Rolf

Low-cost air quality sensor systems can be deployed at high density, making them a significant candidate of complementary tools for improved air quality assessment. However, they still suffer from poor or unknown data quality. In this paper, we report on a unique dataset including the raw sensor data of quality-controlled sensor networks along with co-located reference data sets. Sensor data are collected using the AirSensEUR sensor system, including sensors to monitor NO, NO2, O3, CO, PM2.5, PM10, PM1, CO2 and meteorological parameters. In total, 85 sensor systems were deployed throughout a year in three European cities (Antwerp, Oslo and Zagreb), resulting in a dataset comprising different meteorological and ambient conditions. The main data collection included two co-location campaigns in different seasons at an Air Quality Monitoring Station (AQMS) in each city and a deployment at various locations in each city (also including locations at other AQMSs). The dataset consists of data files with sensor and reference data, and metadata files with description of locations, deployment dates and description of sensors and reference instruments.

Springer Nature

2023

Sensitivity analysis of ammonia emission reductions on exceedances of PM air quality standards. ETC/ACM Technical Paper, 2013/12

Beauchamp, M.; Bessagnet, B.; Meleux, F.; Colette, A.; Rouïl, L.; Guerreiro, C.; Tsyro, S.; de Leeuw, F.; Ruyssenaars, P.; Sauter, F.; Velders, G.

2014

Sensitivity of summer 2-m temperature to sea ice conditions.

Benestad, R. E.; Senan, R.; Balmaseda, M.; Ferranti, L.; Orsolini, Y.; Melsom, A.

2011

Sensitivity studies of Arctic ice clouds. NILU PP

Svendby, T.M.; Myhre, C.L.; Kahnert, M.

2006

Sentinel and Copernicus powered Arctic Wildfire Knowledge System “Arctic Peat-And Forest-fire Information System”

Stebel, Kerstin; Eckhardt, Sabine; Evangeliou, Nikolaos; Kaiser, Johannes; Schneider, Philipp; Sollum, Espen; Aun, Margit; George, Jan-Peter

2024

Sentinel-5P based NOx emissions from large combustion plants for comparison with and possibly QA/QC of E-PRTR emissions

Stebel, Kerstin; Schneider, Philipp; Hamer, Paul David; Tarrasón, Leonor; Weydahl, Torleif; Antognazza, Frederico

2022

Separation of ash and sulfur dioxide during the 2011 Grímsvötn eruption.

Moxnes, E.D.; Kristiansen, N.I.; Stohl, A.; Clarisse, L.; Durant, A.; Weber, K.; Vogel, A.

2014

Separation of volcanic ash and sulfur dioxide from the Eyjafjallajökull eruption, April-May 2010. NILU F

Thomas, H.E.; Prata, F.; Carn, S.A.; Clarisse, L.; Watson, M.I.

2010

SESS report 2018. The State of Environmental Science in Svalbard – an annual report.

Orr, Elisabeth; Hansen, Georg; Lappalainen, Hanna; Hübner, Christiane E.; Lihavainen, Heikki (eds.)

Svalbard Integrated Arctic Earth Observing System (SIOS)

2019

SEVIRI Aerosol Optical Depth Validation Using AERONET and Intercomparison with MODIS in Central and Eastern Europe

Ajtai, Nicolae; Mereuta, Alexandru; Stefanie, Horatiu; Radovici, Andrei; Botezan, Camelia; Zawadzka-Manko, Olga; Stachlewska, Iwona S.; Stebel, Kerstin; Zehner, Claus

MDPI

2021

Sheath formation time for spherical Langmuir probes

Kjølerbakken, Kai Morgan; Miloch, Wojciech Jacek; Røed, Ketil

The formation time of the surrounding sheath of Langmuir probes in an ionospheric plasma has been studied to better understand the constraints this puts on the sampling frequency of a probe. A fully kinetic three-dimensional particle-in-cell model is used to simulate the temporal effects in the electron saturation region as the sheath forms. The stability of the probe current and the stability of the ion and electron density in the vicinity of the probe have been used to evaluate when the sheath was formed. Simulated results were compared with theoretical models and are in good agreement with the theoretical results. This shows that theoretical models can be used as guidance to estimate the formation time and to determine the sampling rate for a swept bias Langmuir system. Our results also show that the formation time is less affected by the plasma temperature and bias voltage as we move into the thick sheath regime, and will instead be determined by the plasma density. The presented results also show that applying a step function to the probe could be used to characterise ions species composition, or to estimate the ion density.

Cambridge University Press

2023

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