'Numerical weather prediction model' presentation slideshows

Polar Amplification: Climate Change in High Latitudes.

835 views • 56 slides

Numerical Weather Prediction and Data Assimilation

Numerical Weather Prediction and Data Assimilation. David Schultz, Mohan Ramamurthy, Erik Gregow, John Horel. What is a model?. Resource: Kalnay, E., 2003: Atmospheric Modeling, Data Assimilation and Predictability

1.11k views • 42 slides

Road Stretch Forecasting

Using High Resolution Databases for Road Stretch Forecasting Torben Strunge Pedersen, Claus Petersen, Alexander Mahura, Kai Sattler Research and Development Department Danmarks meteorologiske institut (DMI) Contakt: tsp@dmi.dk. Road Stretch Forecasting. 370 Road stations 153 Routes

511 views • 41 slides

ECMWF ReAnalysis (ERA) Data assimilation aspects

ECMWF Meteorological Training Course Numerical Weather Prediction Data Assimilation and Use of Satellite Data (NWP-DA). ECMWF ReAnalysis (ERA) Data assimilation aspects. Paul Poli paul.poli@ecmwf.int. Reanalysis course outline. The three pillars of geosciences. Argo Float.

854 views • 37 slides

Jim Haywood, Ben Johnson, Andy Wilson, Martyn Pickering, Stuart Rogers, Dave Tiddeman (OBR)

The Geostationary Earth Radiation Budget Intercomparison of Longwave and Shortwave radiation (GERBILS). Jim Haywood, Ben Johnson, Andy Wilson, Martyn Pickering, Stuart Rogers, Dave Tiddeman (OBR) Sean Milton, Malcolm Brooks, Glenn Greed (GMDD) Mark Harrison (Atmos. Dispersion)

446 views • 33 slides

A New Numerical Weather Prediction Approach to the NDFD's Sky Cover Grid

A New Numerical Weather Prediction Approach to the NDFD's Sky Cover Grid. Jordan Gerth Graduate Research Assistant Cooperative Institute for Meteorological Satellite Studies (CIMSS) and Department of Atmospheric and Oceanic Sciences (AOS), University of Wisconsin at Madison Robert Aune

468 views • 30 slides

NATS 101 Section 13: Lecture 24

441 views • 29 slides

Regional Weather and Climate Data

Regional Weather and Climate Data. Weather and Climate. Climate is a key driver of ecological and hydrological processes C limate variables form one of the most important set of inputs for environmental models Surface air temperature Precipitation Surface air humidity

324 views • 27 slides

A NOVEL TOPOGRAPHY BASED LIMITED AREA MODEL FOR MAURITIUS

A NOVEL TOPOGRAPHY BASED LIMITED AREA MODEL FOR MAURITIUS . Mr. R. Virasami Pr. S.D.D.V. Rughooputh Dr. B. Pathack. Research Objectives.

459 views • 26 slides

UNIVERSITY OF ATHENS FACULTY OF PHYSICS DEP. OF APPLIED PHYSICS LAB. OF METEOROLOGY

382 views • 25 slides

ARC Rejoinders

ARC Rejoinders. Michael Reeder School of Mathematical Sciences and ARC Physics, Chemistry & Geosciences Panel. Assessors. Three types of assessors read your application: Members of the ARC College of Experts (CoE) OzReaders International Readers. ARC College of Experts.

592 views • 18 slides

Genesis of Hurricane Julia (2010) from an African Easterly Wave

322 views • 17 slides

What Is a Numerical Weather Prediction Model?

What Is a Numerical Weather Prediction Model?. Seek relationships (equations) between variables you want to know (e.g. - v, T, p, z, q) and the forcing mechanisms that cause changes in these variables. Example:. Presented by Fred Carr COMAP Symposium 00-1. In meteorology, we solve for Du/Dt

497 views • 17 slides

What Is a Numerical Weather Prediction Model?

What Is a Numerical Weather Prediction Model?. Seek relationships (equations) between variables you want to know (e.g. - v, T, p, z, q) and the forcing mechanisms that cause changes in these variables. Example:. Presented by Fred Carr COMAP Symposium 99-1. In meteorology, we solve for Du/Dt

440 views • 17 slides

I nstitute for M athematics A pplied to Ge oscience

I nstitute for M athematics A pplied to Ge oscience. D ata A ssimilation Re search S ection - DAReS. G eophysical S tatistics P roject - GSP. T urbulence N umerics T eam - TNT. Your typical ensemble. Ensemble mean = waste of time. GSP - statistically blending winds. QuikSCAT

240 views • 17 slides

Use of the UW-NMS to Simulate the Flow Around Ross Island on 3 September 2003 Amanda S. Adams and Gregory J. Tripoli

Use of the UW-NMS to Simulate the Flow Around Ross Island on 3 September 2003 Amanda S. Adams and Gregory J. Tripoli Department of Atmospheric and Oceanic Sciences, University of Wisconsin-Madison. Observations from Automated Weather Stations near Ross Island.

120 views • 1 slides

www.rec.org

www.rec.org.

111 views • 1 slides

Use of the UW-NMS to Simulate the Flow Around Ross Island on 3 September 2003 Amanda S. Adams and Gregory J. Tripoli

Use of the UW-NMS to Simulate the Flow Around Ross Island on 3 September 2003 Amanda S. Adams and Gregory J. Tripoli Department of Atmospheric and Oceanic Sciences, University of Wisconsin-Madison. Observations from Automated Weather Stations near Ross Island.

18 views • 1 slides

ROMS Operational in the Adriatic Sea: the AdriaROMS ocean forecasting system

00 UTC -24 h. 00 UTC. 00 UTC+ 72 h. 48 rivers and springs. -24 -21 -18 -15 -12 -09 -06 -03 . +03 +06 +09 +12 +15 +18 +21 +24 +27 +30 +33 +36 +39 +42 +45 +48 +51 +54 +57 +60 +63 +66 +69 +72. Mediterranean GCM MFS (by INGV) daily temperature, salinity and momentum +

176 views • 1 slides