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Michael Fiorino

Partner Affiliation
Publon ID


Corresponding Articles: 5

Michael Fiorino authored and/or contributed to the following articles/publications.

WxMAP2—a python-based system for model diagnosis and weather forecast tool developmen

The concept of using the web to display weather maps or wxmaps for forecasting purposes goes back to the early 1990s and while the first version of WxMAP2 was developed for comparing climate models in the first Atmospheric Model Intercomparison Project (AMIP1) in 1995, a side application was displaying wxmaps from global numerical weather predic...

Michael Fiorino

Results from testing of EnKF and an EnKF-Var hybrid using the GFS during the 2010 hurricane season

NOAA is running an experimental ensemble prediction during the 2010 hurricane season using the NCEP Global Forecast System (GFS) and an ensemble Kalman filter (EnKF). The EnKF is computed at T254L64, and as well, a hybrid EnKF-variational analysis system is being generated, with the variational component at T574L64. This talk will present overal...

Michael Fiorino

Improved analysis of the tropical cyclone outer wind structure using IR satellite wind retrievals in a global numerical weather prediction model

Operational estimates of tropical cyclone (TC) structure (e.g., maximum surface wind speed, central pressure, position and motion), often referred to as ‘TC vitals,' are used in global numerical weather prediction (NWP) models in a variety of ways. A common approach is to assimilate the TC central surface pressure as a conventional observation. ...

Michael Fiorino

An Examination of FIM Performance for a Variety of Weather Scenarios

Over the last year considerable effort has been made at the Earth Systems Research Laboratory (ESRL) to develop and test a new global model that includes unique features, such as use of the adaptive isentropic-sigma hybrid vertical coordinate successful with the RUC model, accurate finite-volume horizontal advection, and an icosahedral horizonta...

Michael Fiorino

A Vertically Flow-Following Icosahedral Grid Model for Medium-Range and Seasonal Prediction. Part I: Model Description

A hydrostatic global weather prediction model based on an icosahedral horizontal grid and a hybrid terrain-following/isentropic vertical coordinate is described. The model is an extension to three spatial dimensions of a previously developed, icosahedral, shallow-water model featuring user-selectable horizontal resolution and employing indirect ...

Michael Fiorino
Institutions Earth System Research Laboratory - ESRL National Oceanic and Atmospheric Administration - NOAA