availability of millions, and potentially, billions of SPOs from providers like the Weather Company a global pressure network of unprecedented density has become a feasible. Lei et al. (2014) and Anderson et al. (2005) suggested a monotonic relationship between observation density and prior error. If even a fraction of smartphone observations can be utilized for NWP their superior spatial coverage could provide significant improvements in forecast skill. Unfortunately, no apps SPOs suitable for NWP. Incoherency and a lack of consistency among SPOs currently NWP. If smartphones are to contribute to NWP and become a viable atmospheric observing platform, sources of observational uncertainty must be constrained and quantified. . Chapter 2 DEVELOPMENT AND PERFORMANCE OF AN INNOVATIVE PRESSURE COLLECTION APP 2.1) In-app quality control framework 2.1.1 Motivation A quality control (QC) framework was developed within the app to reduce observational error, both systematic and stochastic, quantify uncertainty and bias, and provide QC estimates of pressure change. Previous SPO providers such as PressureNet and OpenSignal performed no
availability of millions, and potentially, billions of SPOs from providers like the Weather Company a global pressure network of unprecedented density has become a feasible. Lei et al. (2014) and Anderson et al. (2005) suggested a monotonic relationship between observation density and prior error. If even a fraction of smartphone observations can be utilized for NWP their superior spatial coverage could provide significant improvements in forecast skill. Unfortunately, no apps SPOs suitable for NWP. Incoherency and a lack of consistency among SPOs currently NWP. If smartphones are to contribute to NWP and become a viable atmospheric observing platform, sources of observational uncertainty must be constrained and quantified. . Chapter 2 DEVELOPMENT AND PERFORMANCE OF AN INNOVATIVE PRESSURE COLLECTION APP 2.1) In-app quality control framework 2.1.1 Motivation A quality control (QC) framework was developed within the app to reduce observational error, both systematic and stochastic, quantify uncertainty and bias, and provide QC estimates of pressure change. Previous SPO providers such as PressureNet and OpenSignal performed no