Found 9759 publications. Showing page 306 of 391:
NORDUST : Nordic Road Dust Project
Road dust is an important contributor to airborne particle pollution, especially in the Nordic countries where high road surface wear, due to studded tyre use as well as winter maintenance and operations including sanding and salting are important contributors. Even though the road dust problems are similar, the countries have tackled different parts of the problem with different research approaches, resulting in a complex knowledgebase in need of compilation. A former project, NORTRIP, started this work and implemented the knowledge into an emission model with a specially elaborated road dust focus. The model work has been used to identify knowledge gaps, intended to be filled within the NorDust project.Laboratory tests and controlled and uncontrolled field measurements as well as parametrisation and modelling have been used as tools to find, describe and implement issues concerning road dust formation, suspension and dynamics and road operation effects on emissions in facilities and sites in finland and Sweden. The NORTRIP model has been implemented and evaluated in Iceland, not previously involved in the model development, to identify input data needs.The project has resulted in an array of findings, of which some have been possible to implement in new parametrisations in the NORTRIP model. In the complex research area of road dust dynamics, the project has also resulted in a lot of practical experiences concerning experimental and measurement designs and evaluation possibilities that future research will be able to benefit from.
NordFoU
2019
2019
2019
2019
2019
2019
Monitoring of the atmospheric ozone layer and natural ultraviolet radiation. Annual Report 2018.
Denne rapporten presenterer resultatene fra det norske måleprogrammet for totalozon og UV-stråling. Ozonlaget har blitt målt ved tre stasjoner siden 1979: i Oslo, Tromsø/Andøya og Ny-Ålesund. UV-målinger startet i 1995. Resultatene viser at det var en signifikant ozonreduksjon over Norge i perioden 1979 til 1997. Deretter stanset reduksjonen og ozonverdiene stabiliserte seg på et nivå ~2% lavere pre-1980 nivået. Mest karakteristisk for 2018 var de lave totalozon-verdiene over Oslo i sommermånedene og den rekordhøye årlige integrerte UV-dosen.
NILU
2019
Supporting the improvement of air quality management practices: The “FAIRMODE pilot” activity
Academic Press
2019
2019
Monitoring Soil Moisture Drought over Northern High Latitudes from Space
Mapping drought from space using, e.g., surface soil moisture (SSM), has become viable in the last decade. However, state of the art SSM retrieval products suffer from very poor coverage over northern latitudes. In this study, we propose an innovative drought indicator with a wider spatial and temporal coverage than that obtained from satellite SSM retrievals. We evaluate passive microwave brightness temperature observations from the Soil Moisture and Ocean Salinity (SMOS) satellite as a surrogate drought metric, and introduce a Standardized Brightness Temperature Index (STBI). We compute the STBI by fitting a Gaussian distribution using monthly brightness temperature data from SMOS; the normal assumption is tested using the Shapior-Wilk test. Our results indicate that the assumption of normally distributed brightness temperature data is valid at the 0.05 significance level. The STBI is validated against drought indices from a land surface data assimilation system (LDAS-Monde), two satellite derived SSM indices, one from SMOS and one from the ESA CCI soil moisture project and a standardized precipitation index based on in situ data from the European Climate Assessment & Dataset (ECA&D) project. When comparing the temporal dynamics of the STBI to the LDAS-Monde drought index we find that it has equal correlation skill to that of the ESA CCI soil moisture product ( 0.71 ). However, in addition the STBI provides improved spatial coverage because no masking has been applied over regions with dense boreal forest. Finally, we evaluate the STBI in a case study of the 2018 Nordic drought. The STBI is found to provide improved spatial and temporal coverage when compared to the drought index created from satellite derived SSM over the Nordic region. Our results indicate that when compared to drought indices from precipitation data and a land data assimilation system, the STBI is qualitatively able to capture the 2018 drought onset, severity and spatial extent. We did see that the STBI was unable to detect the 2018 drought recovery for some areas in the Nordic countries. This false drought detection is likely linked to the recovery of vegetation after the drought, which causes an increase in the passive microwave brightness temperature, hence the STBI shows a dry anomaly instead of normal conditions, as seen for the other drought indices. We argue that the STBI could provide additional information for drought monitoring in regions where the SSM retrieval problem is not well defined. However, it then needs to be accompanied by a vegetation index to account for the recovery of the vegetation which could cause false drought detection.
MDPI
2019
2019
2019