Fant 9855 publikasjoner. Viser side 211 av 395:
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2004
Fine-resolution spatio-temporal maps of near-surface urban air temperature (Ta) provide crucial data inputs for sustainable urban decision-making, personal heat exposure, and climate-relevant epidemiological studies. The recent availability of IoT weather station data allows for high-resolution urban Ta mapping using approaches such as interpolation techniques or machine learning (ML). This study is aimed at executing these approaches and traditional numerical modeling within a practical and operational framework and evaluate their practicality and efficiency in cases where data availability, computational constraints, or specialized expertise pose challenges. We employ Netatmo crowd-sourced weather station data and three geospatial mapping approaches: (1) Ordinary Kriging, (2) statistical ML model (using predictors primarily derived from Earth Observation Data), and (3) weather research and forecasting model (WRF) to predict/map daily Ta at nearly 1-km spatial resolution in Warsaw (Poland) for June–September and compare the predictions against observations from 5 meteorological reference stations. The results reveal that ML can serve as a viable alternative approach to traditional kriging and numerical simulation, characterized by reduced complexity and higher computational speeds within the domain of urban meteorological studies (overall RMSE = 1.06 °C and R2 = 0.94, compared to ground-based meteorological stations). The results have implications for identifying the urban regions vulnerable to overheating and evidence-based urban management in response to climate change. Due to the open-sourced nature of the applied predictors and input parsimony, the ML method can be easily replicated for other EU cities.
2023
2006
2006
Interpolation and assimilation methods for European scale air quality assessment and mapping. Part II: Development and testing new methodologies. Final draft. ETC/ACC Technical Paper, 2005/8
2005
Interpolation and assimilation methods for European scale air quality assessment and mapping. Part 1: Review and recommendations. Final draft. ETC/ACC Technical Paper, 2005/7
2005
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1999
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Denne rapporten presenterer databasen i ICP Materialer for perioden Oktober 2009 ¿ Desember 2009. Den inkluderer miljødata fra ICP Materialer trend-eksponeringsprogrammet for 2008 ¿ 2009. Databasen består av meteorologiske data, og forurensningsdata som gasser og i partikler. HNO3 og mengde og sammensetning av partikkelavseting ved tilsmussing rapporteres også.
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Denne rapporten finnes bare på engelsk.
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