AIMS To determine the relationship between central venous pressure (CVP) and renal function in patients with acute heart failure (AHF) presenting to the emergency department. METHODS AND RESULTS Central venous pressure was determined non-invasively using compression sonography in 140 patients with AHF at presentation. Worsening renal function (WRF) was defined as an increase in serum creatini...

[1] The cloud analysis procedure of the Advanced Regional Prediction System (ARPS) is implemented in a proposed operational numerical forecast system composed of the Grid-point Statistical Interpolation (GSI) and the Advanced Research WRF (WRF-ARW). The case of 23 May 2005 Central Plains storm cluster is used to assess the impact of the cloud analysis using reflectivity data from six operationa...

Heart failure (HF) is a risk factor for the development of chronic kidney disease (CKD) and vice versa, while the two conditions quite often co-exist. About one-third of HF patients suffer from at least mild to moderate CKD and about a quarter of them develop worsening renal function (WRF) during their hospitalization for HF. –4 Renal dysfunction is an independent predictor of adverse prognosis...

In the present work WRF model is used to generate meteorological fields for the HYSPLIT dispersion model. Sensitivity and validation of the WRF model, is conducted by utilizing different combinations of physical parameterization schemes. For this purpose, eight different configurations are examined. Assessment of the predictions of the WRF model is carried out by computing the statistical param...

The life cycle of Hurricane Katrina (2005) was simulated using three different modeling systems of Weather Research and Forecasting (WRF) mesoscale model. These are, HWRF (Hurricane WRF) designed specifically for hurricane studies and WRF model with two different dynamic cores as the Advanced Research WRF (ARW) model and the Non-hydrostatic Mesoscale Model (NMM). The WRF model was developed and...

As computing capabilities expand, operational and research environments are moving toward the use of finescale atmospheric numerical models. These models are attractive for users who seek an accurate description of small-scale turbulent motions. One such numerical tool is the Weather Research and Forecasting (WRF) model, which has been extensively used in synoptic-scale and mesoscale studies. A...

The Weather Research and Forecast (WRF) model is a new model development effort undertaken jointly by the National Center for Atmospheric Research (NCAR), the National Oceanic and Atmospheric Administration (NOAA), and a number of collaborating institutions and university scientists. The model is intended for use by operational NWP and university research communities, providing a common framewo...

The Weather Research and Forecasting (WRF) Model has been designed to be an efficient and flexible simulation system for use across a broad range of weather-forecast and idealized-research applications. Of particular interest is the use of WRF in nonhydrostatic applications in which moist-convective processes are treated explicitly, thereby avoiding the ambiguities of cumulus parameterization. ...

Applying 4-levels grid nested WRF (Weather Research and Forecasting) model to predict meteorological elements of wind farm field, and employing WRF model outputs and SCADA data of wind turbines to construct wind power forecast models by using the APLSR (Adapting Partial Least Square Regression) method, this paper has conducted wind power forecast in 24 hours ahead, at Wenling wind farm which lo...

This study uses in situ measurements collected during the FireFlux field experiment to evaluate and improve the performance of the coupled atmosphere–fire model WRF-SFIRE. The simulation by WRF-SFIRE of the experimental burn shows that WRF-SFIRE is capable of providing realistic head-fire rate of spread and vertical temperature structure of the fire plume, and fire-induced surface flow and vert...