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High resolution numerical weather prediction

Veðurstofa Íslands 16.11.2015

Since autumn 2011 the Icelandic Meteorological Office (IMO) has been running the high resolution numerical weather prediction (NWP) model HARMONIE operationally. HARMONIE is a non-hydrostatic convection-permitting NWP and is operated at 2.5 km horizontal resolution over a domain that covers Iceland and the surrounding seas.

The development and maintainance of the model is a research cooperation of European meteorological institutes that was founded in 2005 when two research consortia joined forces. One of these consortium was the HIRLAM programme (High Resolution Limited Area Modelling). IMO has been a partner of the programme from the start in 1985, although not partaking in the development of the model until 1992. The HIRLAM consortium includes the meteorological institutes of all the Nordic countries as well as the Netherlands, Ireland, Lithuania and Spain.

The purpose of the consortium was originally to develop and maintain a numerical short-range weather forecasting system (forecast length 0-36 hours) for operational use by the participating meteorological institutes. The model initially developed was also named HIRLAM. IMO has used NWP products from HIRLAM run at the Danish Meteorological Office (), initially at 15 km horizontal resolution and in the last years also at 5 km horizontal resolution.

In 2005 it was decided that the consortium should concentrate on the development of a high resolution NWP model and cooperate with Vintage Foundry Newkirk Wingtip Leather Derby Low Cost Cheap Online Free Shipping High Quality Buy Online Cheap Price cOl0c5Llt
and the ALADIN consortium, lead by MeteoFrance. MeteoFrance had been developing the NWP AROME and it was decided that the two consortia, HIRLAM and ALADIN, would jointly develop that model further. The first version of the new model was released in 2008 and was given the name HARMONIE. Later this acronym was expanded into the long but somewhat cumbersome name HIRLAM ALADIN Research on Mesoscale Operational NWP In Euromed .

For NWP models to simulate weather they need to solve complicated equations involving the different factors that are important for the development of the state of the atmosphere. These factors are e.g. temperature, air pressure, winds, water vapour, clouds and precipitation as well as interactions at the surface of land and ocean. Processes involving these factors are the subject of physical and dynamical meteorology.

At the start (initial time) of a model simulation a description of the state of the atmosphere is needed. This state is termed the analysis . To ensure that the analysis includes all data important for the model as well as to ensure that the analysis is in agreement with the physics of the model the first guess is a short simulation by the model. Currently for the Iceland domain, measurements of temperature and humidity at 2 m a.g.l., in addition to other meteorological data, are then used to adjust this first guess of the analysis . This method of using both model simulation and observations to create a model analysis was originally suggested by Páll Bergþórsson, former director of IMO, and Bo R. Döös in 1955 . In addition to the analysis, the model also needs prediction of the development of weather at the boundaries of the domain, retrieved from a coarser resolution global NWP simulation from the European Centre for Medium-Range Weather Forecasts ( ECMWF ).

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Test numbers:

PalindromeQ[i_Integer]:= Reverse[IntegerDigits[i]] == IntegerDigits[i];

Note that the code block doesn't correctly show the à in salàlas.

And a function to remove spaces and punctuation and convert to lowercase

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Works likewise for strings and for lists

and here a function to remove the white spaces in the string:

and to make the test case insensitive, just use the function String.lowercase_ascii .

A version for numbers:

: PARI/GP version 2.6.0 and above
: Free Pascal

There is more than one way to do this.

All of these functions take a parameter, or default to $_ if there is no parameter. None of these functions ignore case or strip characters; if you want do that, you can use ($s = lc $s) =~ s/[\W_]//g before you call these functions.

This example shows how to use the functions:

With this machine, palindrome() ran far faster than the alternatives (and too fast for a reliable count). The Perl regular expression engine recursed twice as fast as the Perl interpreter.

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To satisfy the revised specification (which contradicts the preceding explanation) the following trivially solves the problem in PL/I:

The following solution strips spaces:

The output is identical to the QBasic version, above.

This version is much faster because it does not manipulate arrays.

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Changing string into atom makes the program run also on GNU Prolog. I.e.

: GNU Prolog
: PureBasic version 4.41

Now that Python 2.7 and Python 3.4 are quite different, We should include the version IMHO.

This one uses the reversing the string technique (to reverse a string Python can use the odd but right syntax string[::-1] )

Python has short-circuit evaluation of Boolean operations so a shorter and still easy to understand recursive function is

Palindrome Using Regular Expressions Python 2.7

Note that the recursive method will fail if the string length is too long. R will assume an infinite recursion if a recursion nests deeper than 5,000. Options may be set in the environment to increase this to 500,000.

Iterative

Comparative

This method is somewhat faster than the other two.

Note that this method incorrectly regards an empty string as not a palindrome. Please leave this bug in the code, and take a look a the Frye Logan Chelsea Clearance Big Sale Online Shop Low Price Fee Shipping Sale Online Cheap Ebay xCmMYpTQ1
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