The National Eclipse Weather Experiment (NEWEx) was a citizen science project designed to assess the effects of the 20 March 2015 partial solar eclipse on the weather over the United Kingdom (UK). NEWEx had two principal objectives: to provide a spatial network of meteorological observations across the UK to aid the investigation of eclipse-induced weather changes, and to develop a nationwide p...

We present a concept for a small satellite mission to make systematic, global observations of night-time lights with spatial resolution suitable for discerning the extent, type and density of human settlements. The observations will also allow better understanding of fine scale fossil fuel CO2 emission distribution. The NASA Earth Science Decadal Survey recommends more focus on direct observati...

This paper studies the effect of targeted observations on state and parameter estimates determined with Kalman filter data assimilation (DA) techniques. We first provide an analytical result demonstrating that targeting observations within the Kalman filter for a linear model can significantly reduce state estimation error as opposed to fixed or randomly located observations. We next conduct ob...

This study presents an overview of Amazonian convection from the perspective of both ground and satellite intrumentation, with particular emphasis on radar observations of two MCSs that occurred during the TRMM-LBA field campaign. The MCSs formed in different meteorological regimes, based on profiles of atmospheric wind and thermodynamic data. The radar analyses show that the MCSs were distinct...

Different methods for hail detection are presented in the seminar. The presented methods use radar reflectivity measurements to determine the occurrence of hail. We compared observations made on meteorological stations, radar derived product developed by Faculty of mathematics and physics (FMF) and radar derived product VIL (Vertically integrated liquid). Comparison is performed for the period ...

This study presents statistical relationships between cloud-top cloud thermodynamic phase and aerosols (dust, polluted dust and smoke) as well as meteorological variables (vertical velocity at 500 hPa, lower tropospheric static stability (LTSS) and surface temperature) to infer the influence of atmospheric dynamics on cloud thermodynamic phase using a combination of global satellite observation...

This article describes an example of using machine learning to estimate the abundance of airborne Ambrosia pollen for Tulsa, OK. Twenty-seven years of historical pollen observations were used. These pollen observations were combined with machine learning and a very complete meteorological and land surface context of 85 variables to estimate the daily Ambrosia abundance. The machine learning alg...

In global models of the atmosphere convection is parameterised, since the typical scale of this process is smaller than the model resolution. Here we address some of the uncertainties arising from the selection of different algorithms to simulate this process. Four different parameterisations for atmospheric convection, all used in state-of-the-art models, are implemented in the model system EC...

Geographic information is based on observations or measurements. The Open Geospatial Consortium (OGC) has developed an implementation specification for observations and measurements (O&M). It specifies precisely how to encode information. Yet, the O&M conceptual model does not specify precisely which real-world entities are denoted by the specified information objects. We provide formal semanti...