Search for dissertations about: "Meteorological Data"

Showing result 11 - 15 of 98 swedish dissertations containing the words Meteorological Data.

2. 11. Improving satellite measurements of clouds and precipitation using machine learning

   Author : Simon Pfreundschuh; Chalmers tekniska högskola; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; precipitation; clouds; remote sensing; machine learning;

   Abstract : Observing and measuring clouds and precipitation is essential for climate science, meteorology, and an increasing range of societal and economic activities. This importance is due to the role of clouds and precipitation in the hydrological cycle and the weather and climate of the Earth. READ MORE

4. 12. Spatiotemporal prediction of arbovirus outbreak risk : the role of weather and population mobility

   Author : Aditya L. Ramadona; Joacim Rocklöv; Yesim Tozan; Hari Kusnanto; Lutfan Lazuardi; Paula Moraga; Umeå universitet; []
   Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; arbovirus; dengue; temperature; rainfall; extreme weather; climate variability; population mobility; twitter data; social media; forecasting model; early warning; epidemic; big data; INLA; spatiotemporal model; climate services;

   Abstract : Background: Arboviruses such as dengue and chikungunya have been a significant public health burden globally for several decades. In Indonesia, all four dengue serotypes are circulating. READ MORE

5. 13. Toward Sequential Data Assimilation for NWP Models Using Kalman Filter Tools

   Author : Jelena Bojarova; Rolf Sundberg; Krzysztof Podgorski; Stockholms universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; non-Gaussian state space models; Kalman filtering; ETKF; 3D-Var; data assimilation; NWP; Mathematical statistics; Matematisk statistik; matematisk statistik; Mathematical Statistics;

   Abstract : The aim of the meteorological data assimilation is to provide an initial field for Numerical Weather Prediction (NWP) and to sequentially update the knowledge about it using available observations. Kalman filtering is a robust technique for the sequential estimation of the unobservable model state based on the linear regression concept. READ MORE

6. 14. A Variational data assimilation scheme and its use of meteorological observations

   Author : Erik Andersson; Lennart Bengtsson; Stockholms universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; meteorologi; Meteorology;

   Abstract : Meteorological data assimilation is the process by which a model simulation of the atmosphere is corrected by observations. In operational weather forecasting, this is done in near real-time, to provide accurate initial conditions for numerical forecasts. The accuracy of the forecasts depends crucially on the accuracy of the data assimilation. READ MORE

7. 15. Machine Learning Approaches to Develop Weather Normalize Models for Urban Air Quality

   Author : Chau Ngoc Phuong; Mengjie Han; Rasa Zalakeviciute; Ilias Thomas; Mario Salvador González Rodríguez; Högskolan Dalarna; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Weather Normalized Models WNMs ; Air Pollution; Data-Driven Modeling and Optimization; Deep Learning - Artificial Neural Network DL-ANN ; Machine Learning;

   Abstract : According to the World Health Organization, almost all human population (99%) lives in 117 countries with over 6000 cities, where air pollutant concentration exceeds recommended thresholds. The most common, so-called criteria, air pollutants that affect human lives, are particulate matter (PM) and gas-phase (SO2, CO, NO2, O3 and others). READ MORE