README for ASCII text stratus cruise time series data files:
cloud_hourlyYYYY.txt
cloud_10minYYYY.txt
cloud_diurnalYYYY.txt
YYYY is year 2001, 2003, 2004, 2005, 2006, 2007, or 2008.

The data are saved in tab-delimited ASCII text files. Each time record
is a row of text separated by a carriage return and line feed (Windows
stardard). Each record has 30 columns for each of the variables.
Missing data is filled with the text "NaN".

The following matlab code between >> << loads the data into
memory. The comment following the % describes the variable name and
units in each column.

>>
xyz=load('cloud_10min2001.txt');
                    % variable name; units
yrr=xyz(:,1);       % Year of the cruise; Gregorian year
jd=xyz(:,2);        % yearday; days since proir December 31
lat=xyz(:,3);       % Latitude; degrees
lon=xyz(:,4);       % Longitude; degrees
tsg=xyz(:,5);       % Ship thermosalinograph water temperature (5 m depth); degrees C
ts=xyz(:,6);        %  ESRL seasnake water temperature (5 cm depth); degrees Celsius
ta=xyz(:,7);        % Air Temperature (18 m); degree Celsius
ux=xyz(:,8);        % Westerly wind component; m/s
uy=xyz(:,9);        % Southerly wind component; m/s
u=xyz(:,10);        % Wind speed; m/s
hs=xyz(:,11);       % Sensible heat flux; W/m^2
hl=xyz(:,12);       % Latent heat flux; W/m^2
stress=xyz(:,13);   % Stress; N/m^2
rain=xyz(:,14);     % Rain rate; mm/hr
rl=xyz(:,15);       % Downward IR flux; W/m^2
rlclr=xyz(:,16);    % Clear sky downward IR flux; W/m^2
rs=xyz(:,17);       % Downward solar flux; W/m^2
rsclrd=xyz(:,18);   % Clear sky downward solar flux; W/m^2
zb1m=xyz(:,19);     % 15th percentile cloud base height, 15% of cloud bases lower than zb1md; meters
zbm=xyz(:,20);      % Median cloud base height; meters
zb2m=xyz(:,21);     % 85th percentile cloud base height, 85% of cloud bases lower than zb2md; meters
top=xyz(:,22);      % Cloud top height; meters
clodthk=xyz(:,23);  % Cloud thickness; meters
tau=xyz(:,24);      % Cloud optical thickness; none
lwp=xyz(:,25);      % Cloud liquid water path; g/m^2
cf=xyz(:,26);       % Cloud fraction; none
nd=xyz(:,27);       % Number cloud drops deduced from optical thickness; number
aer1=xyz(:,28);     % Aerosol number, size>.1 micron and size<.2 micron; number
aer2=xyz(:,29);     % Aerosol number, size>.3 micron and size<.5 micron; number
aer3=xyz(:,30);     % Aerosol number, size>1 micron and size<5 micron; number
wvp=xyz(:,31)       % water vapor path; cm
qa=xyz(:,32)        % surface air specific humidity; g/kg
tlcl=xyz(:,33)      % lifting condensation level temperature; K
zlcl=xyz(:,34)      % lifting condensation level height; km
aert=xyz(:,35)      % total accumulation mode aerosols; number per cm^3
rh=xyz(:,36);       % surface relative humidity; %
pres=xyz(:,37);     % sea-level pressure; hPa
aerai=xyz(:,38);    % Aitken mode aerosol concentration; number per cm^3
<<

Reference:
Simon P. de Szoeke, Christopher W. Fairall, Daniel E. Wolfe, Ludovic Bariteau, Paquita Zuidema, 2010: Surface flux observations on the southeastern tropical Pacific Ocean and attribution of SST errors in coupled ocean-atmosphere models, Journal of Climate, in press.

2010 May 26
Simon P. de Szoeke
sdeszoek@coas.oregonstate.edu