White-rot fungi (WRF) and their lignin modifying enzymes (LME) can degrade a wide range of trace organic contaminants (TrOC), which are suspected to cause adverse health effects in humans and other biota. Recent studies have successfully applied either whole-cell WRF or their extracellular culture extract to remove TrOC from the aqueous phase. TrOC removal by a WRF system is dependent on a rang...

Abstract. The nature and origin of organic aerosol in the atmosphere remain unclear. gas–particle partitioning semi-volatile compounds (SVOCs) that constitute primary aerosols (POAs) multigenerational chemical aging SVOCs are particularly poorly understood. volatility basis set (VBS) approach, implemented air quality models such as WRF-Chem (Weather Research Forecasting model with Chemistry), c...

Monitoring CO2 concentrations is believed to be an effective measure for assisting in the control of greenhouse gas emissions. Satellite measurements compensate sparse and uneven spatial distribution ground observation stations, allowing collection a wide range concentration data. However, satellite monitoring’s coverage remains limited. This study fills knowledge gaps column-averaged dry-air m...

Baseline renal function is a potent independent risk factor for adverse events after acute myocardial infarction (MI). Worsening renal function (WRF) has been shown to influence outcomes in the heart failure population, but its impact on cardiovascular risk in the post-MI period has not been well defined. For assessment of the prognostic importance of WRF, 2231 patients who had left ventricular...

In this study, we investigate a series of Saharan dust outbreaks toward the Mediterranean basin that occurred in late June 2021. particular, analyze effect mineral aerosols on radiation and cloud properties (direct, semi-direct indirect effects), turn, meteorological parameters. This is achieved by running Weather Research Forecasting model coupled with Chemistry (WRF-Chem) over domain covering...

Abstract. Chemistry transport models (CTMs) play an important role in understanding fluxes and atmospheric distribution of carbon dioxide (CO2). They have been widely used for modeling CO2 through forward simulations inferring inversion systems. With the increasing availability high-resolution observations, it has become possible to estimate at higher spatial resolution. In this work, we implem...

We employed the combined WRF-Chem-RTFDDA model to forecast dust storms in Middle East and North Africa (MENA). WRF-Chem simulates emission, transport, mixing, chemical transformation of trace gases aerosols simultaneously with meteorology. RTFDDA continuously assimilates both conventional nonconventional meteorological observations provides improved initial conditions for analyses forecasts. wa...

The goal of this Masters project is to implement the WRF model with 3D variational assimilation (3DVAR) at MIT. A working version of WRF extends the scope of experimentation to mesoscale problems in both real and idealized scenarios. A state-of-the-art model and assimilation package can now be used to conduct science or as a benchmark to compare new methods with. The second goal of this project...