Thanks Jeff, Antialiasing is not very useful as my pixel size is small... also, I used octagon shapes to have a smoother picture
Now I'm looking for suppressing pixels under (or over) a certain value, but a couple hours of searching and testing didn't help... I'll see Monday if I find some tips Have a nice weekend Antoine De Pauw Collaborateur de recherches, Informatique - Research collaborator, IT Laboratoire de chimie quantique et photophysique - Quantum chemistry and photophysics laboratory Université Libre de Bruxelles - ULB -----Original Message----- From: Jeff Whitaker [mailto:[EMAIL PROTECTED] Sent: vendredi 12 septembre 2008 13:26 To: De Pauw Antoine Cc: 'Matplotlib Users' Subject: Re: [Matplotlib-users] Information request De Pauw Antoine wrote: > Hi Jeff, > > I updated my code snippet and uploaded the image I created with a complete > set of data: > > http://snipplr.com/view/8307/map-plotting-python-code-temporary/ > > And here's the picture generated: > > http://www.kirikoo.net/images/5shrad-20080912-105759.png > > I now understand the process and I'm able to reproduce it for other > datasets, but I need to implement some antialiasing for it.. > > Is it possible to do? > > Many thanks for your precious help! > > Antoine De Pauw > Collaborateur de recherches, Informatique - Research collaborator, IT > Laboratoire de chimie quantique et photophysique - Quantum chemistry and > photophysics laboratory > Université Libre de Bruxelles - ULB > Antoine: If you do >>> from pylab import scatter >>> help(scatter) you will see that scatter takes an antialised keyword antialiased Boolean or sequence of booleans -Jeff > > -----Original Message----- > From: Jeff Whitaker [mailto:[EMAIL PROTECTED] > Sent: jeudi 11 septembre 2008 16:48 > To: De Pauw Antoine > Cc: 'Matplotlib Users' > Subject: Re: [Matplotlib-users] Information request > > De Pauw Antoine wrote: > >> Jeff, >> >> The map object is from the Basemap type, the only different thing is the >> Lon,Lat and Val objects which are from the type array instead of lists >> >> Anyway, solutions are slowly showing themselves and I thank you all >> >> Have a nice day >> >> Antoine De Pauw >> Collaborateur de recherches, Informatique - Research collaborator, IT >> Laboratoire de chimie quantique et photophysique - Quantum chemistry and >> photophysics laboratory >> Université Libre de Bruxelles - ULB >> >> > > Antoine: It should not matter if Lon and Lat are python arrays, lists > or numpy arrays. The Basemap instance __call__ method handles them all. > There must be something else going on. It is always better to post > actual code so we can see what is happening and test it ourselves. > > -Jeff > >> -----Original Message----- >> From: Jeff Whitaker [mailto:[EMAIL PROTECTED] >> Sent: jeudi 11 septembre 2008 15:29 >> To: De Pauw Antoine >> Cc: 'Matplotlib Users' >> Subject: Re: [Matplotlib-users] Information request >> >> De Pauw Antoine wrote: >> >> >>> Thanks Jeff, >>> >>> This seems to work with csv file types, and I've been experimenting a bit >>> with it >>> >>> However, when I try to implement this with my original code (with binary >>> files), I get an error like that one: >>> >>> Traceback (most recent call last): >>> File "C:\Python25\Projects\FigPlot\FigPlot.py", line 39, in <module> >>> x,y = map(Lon,Lat) >>> TypeError: 'numpy.ndarray' object is not callable >>> >>> I think this is coming from the fact I use array objects to store >>> >>> >> values... >> >> >>> could you confirm it? >>> >>> >>> >> Antoine: It looks like you the object map is not a Basemap instance, >> but a numpy array. Try putting 'print type(map)' just ahead of this >> statement to verify this. I suspect your re-using the name 'map' in your >> code, overwriting the Basemap class instance. >> >> -Jeff >> >> >>> Also, I'll see if it is possible to invert color scale and mask >>> > everything > >>> under a certain value >>> >>> Thanks very much for your help! >>> >>> Antoine De Pauw >>> Collaborateur de recherches, Informatique - Research collaborator, IT >>> Laboratoire de chimie quantique et photophysique - Quantum chemistry and >>> photophysics laboratory >>> Université Libre de Bruxelles - ULB >>> >>> >>> -----Original Message----- >>> From: Jeff Whitaker [mailto:[EMAIL PROTECTED] >>> Sent: jeudi 11 septembre 2008 14:10 >>> To: De Pauw Antoine >>> Cc: 'Matplotlib Users' >>> Subject: Re: [Matplotlib-users] Information request >>> >>> De Pauw Antoine wrote: >>> >>> >>> >>>> Hi Jeff, >>>> >>>> I have put the code online with a sample of the data here: >>>> >>>> http://snipplr.com/view/8307/map-plotting-python-code-temporary/ >>>> >>>> I hope you'll be able to give me some advice as it is quite difficult >>>> > for > >>>> someone new in python and scientific computation >>>> >>>> Antoine De Pauw >>>> Collaborateur de recherches, Informatique - Research collaborator, IT >>>> Laboratoire de chimie quantique et photophysique - Quantum chemistry and >>>> photophysics laboratory >>>> Université Libre de Bruxelles - ULB >>>> >>>> >>>> >>>> >>> Antoine: I may have the size of the pixels wrong, and lat/lon >>> transposed, but this is the general idea: >>> >>> from mpl_toolkits.basemap import Basemap >>> import matplotlib.pyplot as plt >>> import numpy as np >>> lats = []; lons = []; data = [] >>> for line in open('pixels.dat'): >>> linesplit = line.split(',') >>> lons.append(float(linesplit[1])) >>> lats.append(float(linesplit[0])) >>> data.append(float(linesplit[2])) >>> map = >>> Basemap(projection='mill',llcrnrlat=min(lats)-5,urcrnrlat=max(lats)+5,\ >>> >>> urcrnrlon=max(lons)+5,llcrnrlon=min(lons)-5,resolution='l') >>> x,y = map(lons,lats) >>> plt.scatter(x,y,s=25,c=data,marker='s',edgecolor="None",cmap=plt.cm.jet) >>> plt.colorbar(shrink=0.6) >>> map.drawcoastlines() >>> plt.show() >>> >>> -Jeff >>> >>> >>> >>> >>>> -----Original Message----- >>>> From: Jeff Whitaker [mailto:[EMAIL PROTECTED] >>>> Sent: mercredi 10 septembre 2008 16:45 >>>> To: Antoine De Pauw >>>> Cc: Matplotlib Users >>>> Subject: Re: Information request >>>> >>>> Antoine De Pauw wrote: >>>> >>>> >>>> >>>> >>>>> Thanks Jeff, >>>>> >>>>> In fact my points are arranged in three unsorted arrays, with a simple >>>>> >>>>> >>>>> >>>>> >>>> scheme (thats why I couldn't plot them with imshow and others) >>>> >>>> >>>> >>>> >>>>> arrays: >>>>> >>>>> [lat][lon][val] >>>>> [-10][ 17][0.3] >>>>> [ 37][ 23][3.7] >>>>> ... ... ... >>>>> >>>>> and so for many rows... >>>>> >>>>> what I have to do is looping through my arrays like that >>>>> >>>>> while i < rowcount: >>>>> plot_to_map(lat[i],lon[i],val[i]) >>>>> >>>>> it is evidently an idea of how it could be done easily but my knowledge >>>>> >>>>> >>>>> >>> of >>> >>> >>> >>>>> >>>>> >>>>> >>>>> >>>> these libraries is too weak for me to figure out how to do it >>>> >>>> >>>> >>>> >>>>> my data comes from huge binary files but is extremely simple, so it >>>>> >>>>> >> would >> >> >>>>> >>>>> >>>>> >>>>> >>>> be really easy for anyone to help me as the problem itself is how to put >>>> unsorted points on the map with latitude and longitude coordinates >>>> >>>> >>>> Antoine: You haven't said if your data forms a rectangular array. If >>>> so, you can build a 2-d array from the input file and plot it with >>>> imshow. If not, you can still plug the elements into a 2-d masked >>>> array, leaving the missing pixels masked. You say the points are >>>> 'unsorted', does that mean they are randomly distributed and do not form >>>> > > >>>> a rectangular grid? >>>> >>>> It would really be much easier to help if you gave us more information, >>>> such as how the data is structured, what the pixel footprint is, etc. >>>> Perhaps you could post the binary file on an ftp site somewhere with >>>> code to read it. >>>> >>>> Also, please hit 'reply all' when replying, so the matplotlib users >>>> mailing list is CC'ed. >>>> >>>> -Jeff >>>> >>>> >>>> >>>> >>>>>> Antoine De Pauw wrote: >>>>>> >>>>>> >>>>>> >>>>>> >>>>>>> Sir, >>>>>>> >>>>>>> I'm sorry, as english is not my mothertongue and it is sometimes >>>>>>> >>>>>>> >>>>>>> >>>>>>> >>>> difficult to be understandable. >>>> >>>> >>>> >>>> >>>>>>> All is in the script I gave to you initially, except the point >>>>>>> > drawing > >>>>>>> >>>>>>> >>>>>>> >>>>>>> >>>> code which would be useless as it is proven not to work (I dont know the >>>> method to do it). >>>> >>>> >>>> >>>> >>>>>>> What I have is a map, and a set of pixels I have to put on it with >>>>>>> >>>>>>> >>>>>>> >>>>>>> >>>> geographic coordinates. >>>> >>>> >>>> >>>> >>>>>>> I cannot find the right method to put colour pixels on the map, >>>>>>> > that's > >>>>>>> >>>>>>> >>>>>>> >>>>>>> >>>> the problem. >>>> >>>> >>>> >>>> >>>>>>> I have that map in miller projection, and three arrays containing >>>>>>> >>>>>>> >>>>>>> >>>>>>> >>>> respectively latitude, longitude and satellite measured value. >>>> >>>> >>>> >>>> >>>>>>> What I need to obtain is something approximately like this: >>>>>>> >>>>>>> >>>>>>> >>>>>>> > http://www.oma.be/BIRA-IASB/Molecules/SO2archive/info/background/so2sc200703 > >> >> >>> >>> >>> >>>> _00_lr.gif but with the basemap toolkit. >>>> >>>> >>>> >>>> >>>>>>> So, my question is: how could I do to plot a coloured pixel at >>>>>>> >>>>>>> >>>>>>> >>>>>>> >>>> coordinates lat:lon on that map? If I have just the method to project a >>>> geographic coordinate on the map and put a coloured pixel at the right >>>> place, all is done and I just have to loop my arrays... Also, I would >>>> >>>> >> have >> >> >>>> to implement some antialiasing on the map. >>>> >>>> >>>> >>>> >>>>>>> >>>>>>> >>>>>>> >>>>>>> >>>>>>> >>>>>> Antoine: >>>>>> >>>>>> Are the pixels arranged on a regular grid - or are they randomly >>>>>> distributed? If they are on a grid, it's easy (using pcolor or >>>>>> >>>>>> >> imshow). >> >> >>>>>> >>>>>> >>>>>> >>> >>> >>> >>>>>> If you could send me your data I may be able to get you started. >>>>>> >>>>>> (I'm cc'ing the matplotlib list so others can join in the discussion). >>>>>> >>>>>> >>>>>> -Jeff >>>>>> >>>>>> >>>>>> >>>>>> >>>>>>> If this is not possible to do it in a simple and explainable way, >>>>>>> >>>>>>> >>>>>>> >>> please >>> >>> >>> >>>>>>> >>>>>>> >>>>>>> >>>>>>> >>>> tell me and I'll continue using matlab or searching for the bit of code >>>> which will save me >>>> >>>> >>>> >>>> >>>>>>> Anyway, I have to thank you for your interest to help me.. >>>>>>> >>>>>>> Many thanks, >>>>>>> >>>>>>> Antoine De Pauw >>>>>>> >>>>>>> >>>>>>> >>>>>>> >>>>>>> >>>>>>> >>>>>>>> Antoine De Pauw wrote: >>>>>>>> >>>>>>>> >>>>>>>> >>>>>>>> >>>>>>>> >>>>>>>>> Hi, and thanks for the answer >>>>>>>>> >>>>>>>>> In fact, what I do is reading a binary file to obtain 3 arrays >>>>>>>>> >>>>>>>>> >>>>>>>>> >>>>>>>>> >>>> (Lat,Lon,Val) describing geographic points which are associated by index >>>> (like point 1 is Lat[0]:Lon[0] with value Val[0]) >>>> >>>> >>>> >>>> >>>>>>>>> What I need to do is to plot some points on the map (miller >>>>>>>>> >>>>>>>>> >>>>>>>>> >>> projection >>> >>> >>> >>>>>>>>> >>>>>>>>> >>>>>>>>> >>>>>>>>> >>>> for most) based on latitude and longitude, to obtain a colour map >>>> > (points > >>>> are unordered, it is from IASI satellite computations) >>>> >>>> >>>> >>>> >>>>>>>>> I'm able to create a map, draw simple things on it, etc but the >>>>>>>>> >>>>>>>>> >>>>>>>>> >>>>>>>>> >>>> problem I have is any method I try for plotting points is failing, >>>> > either > >>>> pcolor, pcolormesh, imshow, etc. >>>> >>>> >>>> >>>> >>>>>>>>> When I found your post on that mailing list, I figured out that you >>>>>>>>> >>>>>>>>> >>>>>>>>> >>>>>>>>> >>>> might have the experience and skills to easily explain to me how to >>>> manipulate these points and plot them on the map, as there's like no >>>> > help > >>>> >>>> >>>> >>> on >>> >>> >>> >>>> the web except standard examples... >>>> >>>> >>>> >>>> >>>>>>>>> Please tell me if this is possible for you to give me some tips, or >>>>>>>>> >>>>>>>>> >>>>>>>>> >>> if >>> >>> >>> >>>>>>>>> >>>>>>>>> >>>>>>>>> >>>>>>>>> >>>> it takes too much of your time just advice me some lectures >>>> >>>> >>>> >>>> >>>>>>>>> Best regards, >>>>>>>>> >>>>>>>>> De Pauw Antoine >>>>>>>>> >>>>>>>>> >>>>>>>>> >>>>>>>>> >>>>>>>>> >>>>>>>>> >>>>>>>> Antoine: It would really help to have a script demonstrating your >>>>>>>> problem. It sounds to me like you want to plot markers representing >>>>>>>> >>>>>>>> >> a >> >> >>>>>>>> >>>>>>>> >>>>>>>> >>> >>> >>> >>>>>>>> set of points - for that you should use the scatter method. pcolor, >>>>>>>> > > >>>>>>>> pcolormesh and friends are for plotting gridded data. >>>>>>>> >>>>>>>> -Jeff >>>>>>>> >>>>>>>> >>>>>>>> >>>>>>>> >>>>>>>> >>>>>>>>> >>>>>>>>> >>>>>>>>> >>>>>>>>> >>>>>>>>> >>>>>>>>> >>>>>>>>>> De Pauw Antoine wrote: >>>>>>>>>> >>>>>>>>>> >>>>>>>>>> >>>>>>>>>> >>>>>>>>>> >>>>>>>>>> >>>>>>>>>>> Dear sir, >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> I’m currently trying to improve our plotting tools here at >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>> the >>> >>> >>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>> “Quantum >>>> >>>> >>>> >>>> >>>>>>>>>>> Chemistry and Photophysics” section of the Université Libre >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>> de >>> >>> >>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>> >>>> >>>> >>>> >>>>>>>>>>> Bruxelles, and I ran, after many time passed at searching for a >>>>>>>>>>> solution, on an explanation from you here: >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>> http://www.nabble.com/Re:-matplotlib-basemap-question-tt17759370.html >>>> >>>> >>>> >>>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> It seems that you could help me find a solution, as I cannot plot >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>> any >>>> >>>> >>>> >>>> >>>>>>>>>>> points on maps. >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> Could you please tell me what I could do to plot data in a simple >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>> way, >>>> >>>> >>>> >>>> >>>>>>>>>>> assuming I have 3 unordered arrays containing respectively >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>> latitude, >>> >>> >>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>> >>>> >>>> >>>> >>>>>>>>>>> longitude and values to plot? >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> Some tips would be very nice from you as any method I have tried >>>>>>>>>>> >>>>>>>>>>> >> so >> >> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>> far >>>> >>>> >>>> >>>> >>>>>>>>>>> give me some errors… >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> Thank you very much in advance, >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> Best regards, >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> PS: I give you the code I’m using currently, missing the >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>> plotting part >>>> >>>> >>>> >>>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> from mpl_toolkits.basemap import Basemap >>>>>>>>>>> >>>>>>>>>>> from numpy import * >>>>>>>>>>> >>>>>>>>>>> from scipy.io.numpyio import fread >>>>>>>>>>> >>>>>>>>>>> import matplotlib.pyplot as plt >>>>>>>>>>> >>>>>>>>>>> import numpy as np >>>>>>>>>>> >>>>>>>>>>> import os >>>>>>>>>>> >>>>>>>>>>> import sys >>>>>>>>>>> >>>>>>>>>>> import array >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> fileName="c:/20080821.b56" >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> print('preparing map') >>>>>>>>>>> >>>>>>>>>>> map = >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> > Basemap(projection='mill',lat_0=0,lon_0=0,resolution='i',area_thresh=30000.) > >> >> >>> >>> >>> >>>> >>>> >>>> >>>> >>>>>>>>>>> map.drawcoastlines(0.5,antialiased=1) >>>>>>>>>>> >>>>>>>>>>> map.drawmapboundary() >>>>>>>>>>> >>>>>>>>>>> #map.drawmeridians(np.arange(-180,180,60),linewidth=0.5, >>>>>>>>>>> labels=np.arange(-180,180,60), labelstyle="+/-") >>>>>>>>>>> >>>>>>>>>>> #map.drawparallels(np.arange(-90,90,30), linewidth=0.5, >>>>>>>>>>> labels=np.arange(-180,180,30), labelstyle="+/-") >>>>>>>>>>> >>>>>>>>>>> print('reading binary data') >>>>>>>>>>> >>>>>>>>>>> nbreligne=long(os.stat(fileName)[6])/(8*int(fileName[-2:])) >>>>>>>>>>> >>>>>>>>>>> Lat=zeros(nbreligne) >>>>>>>>>>> >>>>>>>>>>> Lon=zeros(nbreligne) >>>>>>>>>>> >>>>>>>>>>> Val=zeros(nbreligne) >>>>>>>>>>> >>>>>>>>>>> rawfile=fromfile(open(fileName,'rb'),'d',-1) >>>>>>>>>>> >>>>>>>>>>> Lat=rawfile[0:nbreligne] >>>>>>>>>>> >>>>>>>>>>> Lon=rawfile[nbreligne:nbreligne*2] >>>>>>>>>>> >>>>>>>>>>> Val=rawfile[nbreligne*21:nbreligne*22] >>>>>>>>>>> >>>>>>>>>>> print('shifting latitudes and projecting to map') >>>>>>>>>>> >>>>>>>>>>> i=0 >>>>>>>>>>> >>>>>>>>>>> while i < nbreligne: >>>>>>>>>>> >>>>>>>>>>> if(Lon[i]>180): >>>>>>>>>>> >>>>>>>>>>> print(Lon[i]) >>>>>>>>>>> >>>>>>>>>>> Lon[i]-=360 >>>>>>>>>>> >>>>>>>>>>> print(Lon[i]) >>>>>>>>>>> >>>>>>>>>>> i+=1 >>>>>>>>>>> >>>>>>>>>>> print('plotting data') >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> #plotting code comes here >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>> Antoine: If you send me a self-contained script that produces the >>>>>>>>>> > > >>>>>>>>>> problem you see, I can help you debug it. As it stands now, I >>>>>>>>>> > have > >>>>>>>>>> >>>>>>>>>> >>>>>>>>>> >>>>>>>>>> >>>> very >>>> >>>> >>>> >>>> >>>>>>>>>> little to work with - it could be your plotting commands, or it >>>>>>>>>> >>>>>>>>>> >>>>>>>>>> >>> could >>> >>> >>> >>>>>>>>>> >>>>>>>>>> >>>>>>>>>> >>>>>>>>>> >>>> be >>>> >>>> >>>> >>>> >>>>>>>>>> your data. >>>>>>>>>> >>>>>>>>>> -Jeff >>>>>>>>>> >>>>>>>>>> >>>>>>>>>> >>>>>>>>>> >>>>>>>>>> >>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> print('saving map') >>>>>>>>>>> >>>>>>>>>>> plt.savefig("testfig.png",dpi=600) >>>>>>>>>>> >>>>>>>>>>> print('done') >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> *Antoine De Pauw* >>>>>>>>>>> Collaborateur de recherches, Informatique - Research >>>>>>>>>>> > collaborator, > >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>> IT >>>> >>>> >>>> >>>> >>>>>>>>>>> Laboratoire de chimie quantique et photophysique - Quantum >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>> chemistry >>> >>> >>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>> and >>>> >>>> >>>> >>>> >>>>>>>>>>> photophysics laboratory >>>>>>>>>>> *Université Libre de Bruxelles - ULB <http://ww.ulb.ac.be/>* >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>> -- >>>>>>>>>> Jeffrey S. Whitaker Phone : (303)497-6313 >>>>>>>>>> Meteorologist FAX : (303)497-6449 >>>>>>>>>> NOAA/OAR/PSD R/PSD1 Email : [EMAIL PROTECTED] >>>>>>>>>> 325 Broadway Office : Skaggs Research Cntr 1D-113 >>>>>>>>>> Boulder, CO, USA 80303-3328 Web : http://tinyurl.com/5telg >>>>>>>>>> >>>>>>>>>> >>>>>>>>>> >>>>>>>>>> >>>>>>>>>> >>>>>>>>>> >>>>>>>>>> >>>>>>>>>> >>>>>>>>> >>>>>>>>> >>>>>>>>> >>>>>>>>> >>>>>>>>> >>>>>>>>> >>>>>>>> -- >>>>>>>> Jeffrey S. Whitaker Phone : (303)497-6313 >>>>>>>> NOAA/OAR/CDC R/PSD1 FAX : (303)497-6449 >>>>>>>> 325 Broadway Boulder, CO, USA 80305-3328 >>>>>>>> >>>>>>>> >>>>>>>> >>>>>>>> >>>>>>>> >>>>>>>> >>>>>>>> >>>>>>>> >>>>>>> >>>>>>> >>>>>>> >>>>>>> >>>>>>> >>>>>> -- >>>>>> Jeffrey S. Whitaker Phone : (303)497-6313 >>>>>> NOAA/OAR/CDC R/PSD1 FAX : (303)497-6449 >>>>>> 325 Broadway Boulder, CO, USA 80305-3328 >>>>>> >>>>>> >>>>>> >>>>>> >>>>>> >>>>>> >>>>>> >>>>> >>>>> >>>>> >>>>> >>>> >>>> >>>> >>>> >>> >>> >>> >> >> > > > -- Jeffrey S. 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