Conductance Model for Extreme Events: Impact of Auroral Conductance on Space Weather Forecasts

Improved forecasts of extreme weather events by future space borne Doppler wind lidar

Introduction An important goal in operational weather forecasting is to reduce the number of forecast failures, in particular those with large socio economic impact. Forecast failures of high-impact weather are often due to lack of observations over data sparse areas, such as the southern hemisphere, Tropics and Northern hemisphere oceans, over a prolonged period prior to the extreme event. Int...

A modified optimal stomatal conductance model under water-stressed condition

Accurate estimation of leaf stomatal conductance (gs) is important in predicting carbon andwater cycles of terrestrial ecosystem. To estimate gs on field-grown soybean and maize underwater-stressed condition accurately, a modified optimal stomatal conductance (OSCM) modelwas established based on the relationship between marginal water cost of carbon gain and soilwater content by introducing a w...

Analysis of Weather Generators: Extreme Events

Stochastic weather generators (WGs) are often used to simulate synthetic weather time series based on observed statistical properties in a particular location. Most studies evaluate WG skill based on average properties. Our objective is to assess how the WGs performs in simulating extremes, especially high precipitation amounts. We analyzed 13 different WGs using two parallel approaches: extrem...

Conductance of T-shaped Graphene nanodevice with single disorder

Disordered T-shaped graphene nanodevice (TGN) was designed and studied in this paper. We demonstrated the intrinsic transport properties of the TGN by using Landauer approach. Knowing the transmission probability of an electron the current through the system is obtained using Landauer-Buttiker formalism. The effects of single disorder on conductance, current and on the transport length scales a...

The Impact of Weather Forecasts on Day-Ahead Power Prices