The Nordrad 2 Software System presented by SMHI and Secret Labs AB

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The Nordrad 2 Software System

presented by

SMHI and Secret Labs AB

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Fredrik LundhCTO, N2 Design LeadSecret Labs AB

Åsa GranströmProject ManagerSMHI

Jakob LindvallPresidentSecret Labs AB

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Nordrad 2 Project Status

January 2002: Contract signed September 2002: Site Acceptance

Test (SAT) in progress at SMHI Late October: Installation

FMI/met.no November 2002: Operational Test

(OT) January 2003: Fully operational

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Secret Labs AB

We build infrastructure for image processing and distribution

(we also know a lot about Python: www.pythonware.com)

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Secret Labs references

Open Source Technology

PIL-PythonWare Image Library10 000+ users

xml-rpc for Python100 000+ users

Commercial Technology

PythonWorks IDE150+ customers

PIL-commercial version10+ customers

Commercial System Solutions

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Prosat

An automated processing anddistribution system for satellite imagery (NOAA,Meteosat/MSG, etc).

Developed by Secret Labs for SMHI.

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NordradA network system forexchange of radar dataand generation of composite images.

Developed by Secret Labs for SMHI, FMI and met.no.

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The Nordrad Network

DAN

NOR

SWE FIN

EST

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N2 Main Functionality

Data exchange Product generation

(composites, ...) System monitoring Dataflow monitoring Support for product development Interfaces to external systems

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#include <n2lib.h>main() { N2Connect(host,user) x = N2GetProduct(id)}

Platform

$ n2server start$ n2 import *.data

Command-line interface

Custom user applications

API

(Web browser)

Graphical frontend

XML/MIMEover HTTP(S)

Watchdog

Networkmanager

Storage

Nodemanager

Processmanager

Flowmanager

Config

Jobs

Process scripts

Linux(Tru64)(Solaris)(Irix)(Windows)(Mac OS/X)

Remote nodes

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from SMHI import fixup

def process(context, im): return fixup(im)

N2 Processing Scheduling based on

product availability and time

Process scripts written in Python

Process scripts have access to extensive code libraries, and user-provided code

Persistent job queue

from RadarImage import compose

def process(context, im): ims = context.getproducts() return compose(ims)

def process(context, im): return im.rotate(45)

SMHIRAVE

PILNumerical Python

Python Standard Library

User-providedlibraries

Nordrad Support

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N2 Distribution

Event-driven notification

Client fetches data (pull, not push)

Fetch raw or visualised data

Persistent fetch queue

Step 1. EventStep 2. RequestStep 3. Data transfer

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Nordrad 2 Design Goals

Decentralized

Easy to use

Easy to adapt and expand

Secure and reliable

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N2 Design Goals, cont’d

Decentralized: self-contained nodes, multiple platforms, standard protocols

Easy to use: multiple user interfaces, scripted architecture

Easy to adapt and expand: scripts, plug in your own algorithms

Secure and reliable: simple, battle-hardened design (running PROSAT since 1995)

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That’s all, folks

Well, almost:- demo (nordrad2-on-a-laptop ;-)- questions? (now or later)

Thank you for listening!