Implementation and Research on the Operational Use of the Mesoscale Prediction Model COAMPS in Poland

Abstract

Our long-term goal is to implement an operational high-resolution atmospheric data assimilation and prediction system and to use it for daily weather forecasting. To date we have worked on several operational and scientific aspects of the problem using the Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS(registered)1): (a) setting up stable large scale data transfer capabilities to facilitate COAMPS runs 2-4 times per day in an operational manner for different geographical regions and using different nested grid configurations; (b) perform research on the MPI scalability of COAMPS on selected computer architectures and to optimize the code to take advantage of the vector capabilities of the Cray X1 and the massively parallel features of our Linux cluster; (c) identify and understand the uncertainties in high-resolution NWP forecast and their impact on severe weather, such as extreme rainfall, and to develop model metrics appropriate to mesoscale weather phenomena; and (d) improve our knowledge of observational error characteristics for spatially correlated data and develop the numerical schemes capable of assimilating these types of observations.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2007
Accession Number
ADA541252

Entities

People

  • Bogumil Jakubiak
  • Leszek Herman-izycki
  • Marcin Witek
  • Oskar Kapala
  • Piotr Flatau
  • Richard Hodur

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Assimilation
  • Central Europe
  • Computers
  • Data Analysis
  • Electronic Mail
  • High Resolution
  • Lead Time
  • Meteorological Phenomena
  • Meteorology
  • Observation
  • Oceans
  • Precipitation
  • Probability
  • Rain
  • Square Roots
  • Statistics
  • Weather Forecasting

Fields of Study

  • Environmental science

Readers

  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Parallel and Distributed Computing.