WRF-Fire consists of the WRF (Weather Research and Forecasting Model) coupled with a fire spread model, based on the levelset method. We describe a preliminary application of WRF-Fire to a forest fire in Bulgaria, oportunities for research of forest fire models for Bulgaria, and plans for the development of an Environmental Decision Support Systems which includes computational modeling of fire ...

The Weather Research and Forecasting (WRF) modelling system is developed as a collaborative partnership between the National Center for Atmospheric Research (NCAR), the National Oceanic and Atmospheric Administration (the National Centers for Environmental Prediction (NCEP) and the Forecast Systems Laboratory (FSL)), the Air Force Weather Agency (AFWA), the Naval Research Laboratory, Oklahoma U...

Climate change is most pronounced in the northern high latitude region. Yet, climate observations are unable to fully capture regional-scale dynamics due to the sparse weather station coverage, which limits our ability to make reliable climate-based assessments. A set of simulated data products was therefore developed for the North Slope of Alaska through a dynamical downscaling approach. The p...

AIMS To determine the prevalence and risk factors for worsening renal function (WRF) among patients hospitalized for decompensated heart failure (HF) and the association with subsequent re-hospitalization and mortality. METHODS AND RESULTS We prospectively enrolled 299 patients across eight European countries (mean age 68, 74% men). HF was defined using the European Society of Cardiology crit...

BACKGROUND Renal impairment is a common comorbidity and the strongest risk factor for poor prognosis in acute decompensated heart failure (ADHF). In clinical practice, renal function is labile during episodes of ADHF, and often worsens after discharge. The significance of worsening of renal function (WRF) after discharge has not been investigated as extensively as baseline renal function at adm...

Surface temperature, precipitation, specific humidity and wind anomalies associated with the warm and cold phases of ENSO simulated by WRF and HadRM are examined for the present and future decades. WRF is driven by ECHAM5 and CCSM3, respectively, and HadRM is driven by HadCM3. For the current decades, the ECHAM5-WRF, CCSM3-WRF and HadRM simulations are broadly consistent with the observed warm-...