IRI官网：International Reference Ionosphere
IRI-2016在线计算：IRI 2016 | CCMC
官方提供的MATLAB代码需要联网读取IRI网页数据：
下载需要注册账号，没有注册账号的自行注册，下载好后解压是这样的：
下载IRI-2012后既包含iri2012也包含iri2016：
iri2016.m的运行需要一个网络传输工具-curl，iri2016.m代码里面有提到。
curl下载网址：curl for Windows，这里使用window系统，下载后解压，将bin目录下的curl.exe复制到与iri2016.m的相同路径 。
需要修改iri2016.m代码的最后一行和第1115行：
1.数字246换成142
% 246换成142
data = sscanf(result(newlines(142)+1 : newlines(142 + sweeplen)-1), '%f');
需要修改iritest.m代码：
1.不使用并行处理：
useparfor = false;2.从MATLAB R2016a开始，海岸线数据被移除，取而代之的是使用load('coastlines')加载海岸线数据。
% load coast;从MATLAB R2016a开始，海岸线数据被移除，取而代之的是使用load('coastlines')加载海岸线数据。
load('coastlines'); %加载海岸线的经纬度数据
% plotm(lat, long, 'Color', 0.25*[1 1 1]);
plotm(coastlat, coastlon, 'Color', 0.25*[1 1 1]);
完整的iri2016.m代码:
function out = iri2016(time, latitude, longitude, height, utc, coord, ...curldir, Rz12, IG12, f10_7_daily, f10_7_81day, tec_hmax, ne_top, ...fpeak, f2storm, fpeak_height, bottom, f1_prob, auroral_boundary, ...foE_storm, Ne_Dreg, Te_top, ioncomp, NmF2_foF2, hmF2_M3000F2, ...NmE_foE, hmE, B0)% IRI2016 International Reference Ionosphere 2016 output parameters.
%
% Usage: OUT = IRI2016(TIME, LATITUDE, LONGITUDE, HEIGHT, UTC, COORD,
% CURLDIR, Rz12, IG12, F10_7_DAILY, F10_7_81DAY, TEC_HMAX,
% Ne_TOP, FPEAK, F2STORM, FPEAK_HEIGHT, BOTTOM, F1_PROB,
% AURORAL_BOUNDARY, foE_STORM, Ne_Dreg, Te_TOP, IONCOMP,
% NmF2_foF2, hmF2_M3000F2, NmE_foE, hmE, B0)
%
% Computes the International Reference Ionosphere (IRI) 2016, which is an
% internationally recognized model for various ionospheric properties. The
% position and time inputs can be scalars or arrays; when they are arrays,
% they should all have the same number of elements. The output is a matrix
% with 44 columns and the same number of rows as elements in the position
% and time inputs (possibly just 1). The ith row has the IRI output for the
% ith position/time input.
%
% The function makes the computation by querying the online interface at
% https://ccmc.gsfc.nasa.gov/modelweb/models/iri2016_vitmo.php (hence
% internet access is required), which makes it pretty slow, especially when
% either more than one of the position and time inputs are made to vary or
% if the position and time inputs are not spaced linearly. If more than one
% input is varied, the function can be sped up by using a for loop and
% holding the smaller arrays constant, assuming the largest array is spaced
% linearly. This will result in fewer calls to the website since the
% website allows for a linear sweep in one variable. See the script
% iritest.m for an example of this.
%
% The query is made using the command curl in an operating system terminal.
% This is built-in to Unix but not Windows. curl for Windows can be
% downloaded from http://curl.haxx.se/download.html. The directory where
% the curl.exe file can be found should be passed into CURLDIR for Windows
% computers. CURLDIR defaults to the same directory as this function.
%
% A value for -1 means the output is invalid for the given input. A value
% of -1 for TEC means the input TEC_HMAX was not set. All string inputs are
% case insensitive.
%
% Inputs:
%
% -TIME: Times to compute IRI model either in MATLAB serial date number
% format or a string that can be converted into MATLAB serial date number
% format using DATENUM with no format specified (see documentation of
% DATENUM for more information). Whether the times are local or UTC are
% determined by the input UTC. Valid range is from year 1958 to year 2020
% currently (optional, default is January 1, 2000 at 01:30).
%
% -LATITUDE: Latitude in degrees to compute IRI model. Whether this is
% geodetic, geocentric, or geomagnetic latitude is determined by the
% input COORD. Valid range is -90 degrees to 90 degrees (optional,
% default is 50 degrees).
%
% -LONGITUDE: Longitude in degrees to compute IRI model. Whether this is
% geodetic, geocentric, or geomagnetic longitude is determined by the
% input COORD. Valid range is 0 degrees to 360 degrees (optional, default
% is 40 degrees).
%
% -HEIGHT: For geodetic or geomagnetic coordiates, the height in km above
% the Earth's surface. For geocentric coordiates, the radius in km from
% the center of the Earth. Valid range for altitude is 60 km to 2000 km,
% although the recommended upper limit is 1500 km (optional, default when
% all other inputs are scalars is to sweep from 100:50:2000 km and when
% any other input is an array is 100 km).
%
% -UTC: Set to true (or 'UTC', 'U') if the times in TIME are in
% Coordinated Universal Time (UTC) or false (or 'Local', 'LT', 'L') if
% the times in TIME are in local time (optional, default is true).
%
% -COORD: String specifying the coordinate system to use. Can be
% geodetic ('geodetic', 'geod', or 'gd'), geomagnetic ('geomagnetic',
% 'geom', or 'gm'), or geocentric ('geocentric', 'geom', or 'gm')
% (optional, default is geodetic).
%
% -CURLDIR: Directory where curl.exe can be found (optional, only
% necessary for Windows computers, and default for those is the same
% directory that this function is located).
%
% -Rz12: 13-month running mean of sunspot number index. This index is
% typically calculated automatically from the time you specify, but you
% can enter your own index here and not rely on the internal index file.
% Valid range is 0 to 400.
%
% -IG12: Index based on foF2 measurements from a dozen ionosondes
% correlated with the CCIR foF2 maps [1]. This index is typically
% calculated automatically from the time you specify, but you can enter
% your own index here and not rely on the internal index file. Valid
% range is -50 to 400.
%
% -F10_7_DAILY: F10.7 radio flux, a daily index based on full disc solar
% flux measurements at 2800 MHz (10.7 cm wavelength) first made at the
% Algonquin Radio Observatory, near Ottawa, Canada (1947 until May 31,
% 1991) and then from the Dominion Radio Astrophysical Observatory, near
% Penticton, British Columbia at local noon (1700 UT at Ottawa and 2000
% UT at Penticton). The flux values are expressed in solar flux units
% (1 s.f.u. = 10-22 W*m-2*Hz-1 ). Indices are tabulated in two forms: the
% "observed flux" (S), and the "adjusted flux" (Sa). The former are the
% actual measured values, and are affected by the changing distance
% between the Earth and Sun throughout the year, whereas the latter are
% scaled to a standard distance of 1 AU. The "observed flux" values are
% used in IRI. This index is typically calculated for you, but you can
% enter your own and not rely on the internal index file. Valid range is
% 0 to 400.
%
% -F10_7_81DAY: The 81-day running mean of the daily F10.7 index
% described above. 81 days are about 3 solar rotations and statistical
% studies have found good correlation between this parameter or
% PF10.7=(F10.7_daily + F10.7_81day)/2 and ionospheric parameters. This
% index is typically calculated for you, but you can enter your own and
% not rely on the internal index file. Valid range is 0 to 400.
%
% -TEC_HMAX: Electron content upper boundary in km. The electron content
% is the vertical electron content (vTEC) calculated using numerical
% integration from a lower to an upper boundary. You must enter a value
% for the upper boundary if you want to obtain electron content values.
% The value should not be higher than 2000 km because this is the upper
% limit of the IRI validity range for electron density profiles. The
% lower boundary is set to the starting height of the IRI validity range
% (60 km during the day and 80 km during the night).
%
% -Ne_TOP: Ne Topside. There are three options here:
% 1. IRI-2001: The IRI-2001 model that was based primarily on Alouette
% 1 topside sounder data with some AE-C, AEROS, and DE-2 in situ data
% [2]. Selected by inputting one of 3, 'IRI01', 'IRI2001', or '2001'.
% 2. IRI01-corr: A correction of the 2001 model with the help of
% Aloutte 2, ISIS 1 and 2 topside sounder data [3]. Selected by
% inputting one of 2, 'IRI01-corr', 'IRI2001-corr', 'corr', or 'c'.
% 3. NeQuick: The model developed by Radicella and his group at ICTP
% using Intercosmos 19 topside sounder data in addition to the ISIS 1
% and 2 data [4]. Selected by inputing one of 1, 'NeQuick', 'Quick',
% 'Qu', 'Q', or 'Ne'.
% The default option is NeQuick.
%
% -FPEAK: F peak model. There are two options here:
% 1. CCIR: The CCIR model for the F peak plasma frequency foF2 was
% developed by Jones and Gallet [5] using data from the worldwide
% network of ionosondes. It is the model recommended by the Comite
% Consultatif International des Radiocommunications (CCIR) of the
% International Telecommunications Union [6]. Selected by inputting one
% of 2, 'CCIR', or 'C'.
% 2. URSI: The URSI model was developed by Rush et al. [7] using a
% physical model to obtain screen points over regions not covered by
% ionosondes instead of the extrapolation along magnetic field lines
% employed by Jones and Gallet [5]. Selected by inputting one of 1,
% 'URSI', or 'U'.
% The default option is URSI. The CCIR model is recommended over the
% continents and the URSI model over the oceans. NOTE: Changes here will
% also affect the height of the F peak hmF2 because the hmF2 model
% depends on the ratio foF2/foE where foE is the plasma frequency at the
% E peak.
%
% -F2STORM: foF2 Storm model on (true or 'on') or off (false or 'off')
% (optional, default is on). The F peak storm model describes the average
% storm behavior in terms of the ratio foF2_storm/foF2_quiet based on the
% ap history over the preceding 33 hours [8]. A large volume of ionosonde
% data for storms during the 1980-1990 time period were used to describe
% the most coherent and repeatable features of the ionospheric storm
% response.
%
% -FPEAK_HEIGHT: There are three different options here:
% 1. BSE-1979: Older option that uses the correlation between hmF2 and
% the propagation factor M(3000)F2 and the CCIR-1965 model for the
% ionosonde-deduced M(3000)F2 [9]. Selected by inputting one of 3,
% 'BSE-1979', 'BSE', or 'B'.
% 2. AMTB2013: Ionosonde-based model [10]. Selected by inputting one of
% 1, 'AMTB2013', 'AMTB', or 'A'.
% 3. SHU-2015: Model based on radio occulation data from several GNSS
% satellites [11]. Selected by inputting one of 2, 'SHU-2015', 'SHU',
% or 'S'.
% The default option is AMTB2013.
%
% -BOTTOM: Bottomside thickness. The bottomside thickness is the height
% difference between the F peak height hmF2 and the height where the
% electron density profile has dropped down to half the F peak value
% (NmF2/2). There are three options here:
% 1. Bilitza-2000: This (table-)option is based on incoherent scatter
% data [12]. Selected by inputting one of 1, 'B0 Table', 'B0Table',
% 'B0', or 'B'.
% 2. Gulyaeva: This option is based on ionosonde data mostly from mid-
% latitudes [13]. Selected by inputting one of 2, 'Gulyaeva', 'Guly',
% or 'G'.
% 3. ABT-2009: Altadill et al. [14] used a large volume of ionosonde
% data to develop a much improved representation of latitudinal and
% solar cycle variation of B0 and B1. B1 is a parameter describing the
% bottomside profile shape. Selected by inputting one of 3, 'ABT-2009',
% or 'ABT'.
% The default option is ABT-2009.
%
% -F1_PROB: This parameter describes the occurrence probability of an F1
% layer. There are three options here:
% 1. IRI-95: This option uses the ITU-recommended Ducharme et al. model
% [15] that applies a simple cutoff solar zenith angle, so probability
% is either 0 or 1. Selected by inputting one of 3, 'IRI-95', 'IRI95',
% 'IRI', or '95'.
% 2. Scotto-1997 no L: This option uses the model developed by Scotto
% et al. [16] using only ionograms with clear F1 layer presence and
% excluding the more uncertain L condition cases. Ionograms often
% exhibit a Fl ledge rather than a fully developed cusp, primarily
% during the time period just before the Fl layer disappears. These
% cases are described as L condition according to the URSI standard
% nomenclature. Selected by inputting one of 1, 'Scotto-1997 no L',
% 'no L', or 'nL'.
% 3. Scotto-1997 with L: Here L-condition cases were included. Selected
% by inputting one of 2, 'Scotto-1997 with L', 'with L', or 'wL'.
% The default option is Scotto-1997 no L.
%
% -AURORAL_BOUNDARY: Turn auroral boundary on (true or 'on') or off
% (false or 'off') (optional, default is off). Leaving this off will
% produce faster results.
%
% -foE_STORM: Turn the E peak auroral storm model on (true or 'on') or
% off (false or 'off') (optional, default is on). The model was developed
% by Mertens et al. [17] and Fernandez et al. [18] and describes the
% average storm behavior in terms of the ratio foE_storm/foE_quiet based
% on the ap index history.
%
% -Ne_Dreg: D-region electron density. There are two options here:
% 1. FT-2001: Model based on Friedrich's compilation of reliable rocket
% data [19]. Selected by inputting one of 2, 'FPT-2000', 'FPT', or
% '2000'.
% 2. IRI-95: Model based on a much smaller selection of typical rocket
% profiles [20]. Selected by inputting one of 1, 'IRI-95', 'IRI95',
% 'IRI', or '95'.
% The default option is IRI-95.
%
% -Te_TOP: Topside electron temperature. There are three options here:
% 1. IRI-95 is using the global models at fixed altitudes developed by
% Brace and Theis [21] based on their ISIS and AE-C electron
% temperature measurements. The model is described in [22] and also in
% the IRI-90 report that is available as PDF document from the
% references section of the IRI homepage. Selected by inputting one of
% 3, 'IRI-95', 'IRI95', 'IRI', or '95'.
% 2. TBT-2012 model is newer and uses a large volume of satellite in
% situ measurements [23]. Selected by inputting one of 2, 'TBT-2012',
% 'TBT', or '2012'.
% 3. TBT2012+SA version of the model includes variations with solar
% activity. Selected by inputting one of 1, 'TBT2012+SA', 'TBT+SA',
% '2012+SA', or 'SA'.
% The default option is TBT2012+SA.
%
% -IONCOMP: Ion composition. There are two options here:
% 1. DS95/DY85: Uses the Danilov and Smirnova model [24] based on their
% compilation of rocket data in the region below the F-peak and the
% Danilov and Yaichnikov model [25] based on their compilation of
% Russian high-altitude rocket measurements. Selected by inputting one
% of 2, 'DS95/DY85', or 'DS95'.
% 2. RBV10/TTS03: Based on an adjustment of the ion composition from
% the FLIP-model photochemistry to the IRI electron density profile in
% region below the F peak [26]. In the region above the F-peak the
% model of Triskova et al. [27] based on satellite ion mass
% spectrometer measurements. Selected by inputting one of 1,
% 'RBV10/TTS03', or 'RBV10'.
% The default option is RBV10/TTS03.
%
% -NmF2_foF2: A measured value to update the IRI profile to actual
% conditions. Only valid when varying HEIGHT linearly. If this number is
% between 10^3 and 10^8, it represents the F2 peak density (NmF2) in
% cm^-3. If instead it is between 2 and 14, it represents the F2 plasma
% frequency foF2 in MHz.
%
% -hmF2_M3000F2: A measured value to update the IRI profile to actual
% conditions. Only valid when varying HEIGHT linearly. If this number is
% between 100 and 1000, it represents the F2 peak height (hmF2) in km. If
% instead it is between 1.5 and 4, it represents the propagation factor
% M(3000)F2.
%
% -NmE_foE: A measured value to update the IRI profile to actual
% conditions. Only valid when varying HEIGHT linearly. If this number is
% between 20 and 10^8, it represents the E peak density (NmE) in cm^-3.
% If instead it is between 0.1 and 14, it represents the E plasma
% frequency in MHz.
%
% -hmE: Measured E peak height in km to update the IRI profile to actual
% conditions. Valid range is between 70 km and 200 km.
%
% -B0: Measured bottomside thickness in km to update the IRI profile to
% actual conditions. Valid range is between 50 km and 500 km.
%
% Outputs:
%
% -OUT: Array with the same number of rows as elements in the position
% and time inputs and the following data in each column:
% 1. Electron density (Ne) in m^-3.
% 2. Ratio of Ne to the F2 peak density (NmF2).
% 3. Neutral temperature (Tn) in K.
% 4. Ion temperature (Ti) in K.
% 5. Electron temperature (Te) in K.
% 6. Atomic oxygen ions (O+) percentage.
% 7. Atomic hydrogen ions (H+) percentage.
% 8. Atomic helium ions (He+) percentage.
% 9. Molecular oxygen ions (02+) percentage.
% 10. Nitric oxide ions (NO+) percentage.
% 11. Cluster ions percentage.
% 12. Atomic nitrogen ions (N+) percentage.
% 13. Total electron content (TEC) in 10^16 m^-2.
% 14. TEC top percentage.
% 15. Height of the F2 peak (hmF2) in km.
% 16. Height of the F1 peak (hmF1) in km.
% 17. Height of the E peak (hmE) in km.
% 18. Height of the D peak (hmD) in km.
% 19. Density of the F2 peak (NmF2) in m^-3.
% 20. Density of the F1 peak (NmF1) in m^-3.
% 21. Density of the E peak (NmE) in m^-3.
% 22. Density of the D peak (NmD) in m^-3.
% 23. Propagation factor M(3000)F2.
% 24. Bottomside thickness (B0) in km.
% 25. Bottomside shape (B1).
% 26. E-valley width in km.
% 27. E-valley depth (Nmin/NmE) in km.
% 28. F2 plasma frequency (foF2) in MHz.
% 29. F1 plasma frequency (foF1) in MHz.
% 30. E plasma frequency (foE) in MHz.
% 31. D plasma frequency (foD) in MHz.
% 32. Equatorial vertical ion drift in m/s.
% 33. Ratio of foF2 storm to foF2 quiet.
% 34. F1 probability.
% 35. CGM latitude of auroral oval boundary.
% 36. Spread F probability.
% 37. Ratio of foE storm to foE quiet.
% 38. 12-month running mean of sunspot number Rz12 used by the model.
% 39. Ionospheric index IG12 used by the model.
% 40. Daily solar radio flux F107D used by the model.
% 41. 81 day solar radio flux F107_81D used by the model.
% 42. 3 hour ap index used by the model.
% 43. Daily ap index used by the model.
% 44. 3 hour Kp index used by the model.
% A value of -1 for any output indicates that the parameter is not
% available for the specified range. TEC = -1 means you have not entered
% an upper boundary height for TEC_HMAX.
%
% References:
%
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% composition model of the IRI," _Adv._Space_Res._, vol. 15, no. 2, pp.
% 171-177, 1995, doi:10.1016/S0273-1177(99)80044-1.
% [25] A. D. Danilov, and A. P. Yaichnikov, "A new model of the ion
% composition model at 75 to 1000 km for IRI," _Adv._Space_Res._,
% vol. 5, no. 7, pp. 75�79, 1985, doi:10.1016/0273-1177(85)90360-6.
% [26] P. G. Richards, D. Bilitza, and D. Voglozin, "Ion density
% calculator (IDC): A new efficient model of ionospheric ion densities,"
% _Radio_Sci._, vol. 45, p. RS5007, 2010, doi:10.1029/2009RS004332.
% [27] L. T?韘kov�, V. Truhl韐, J. 妋ilauer, "An empirical model of
% ion composition in the outer ionosphere," _Adv._Space_Res._, vol. 31,
% no. 3, pp. 653-663, doi:10.1016/S0273-1177(03)00040-1.
%
% See also: IRI2012, IRITEST, MSIS, IGRF, DATENUM.% Directory of this function.
fpath = fileparts(mfilename('fullpath'));% Default behavior.
if nargin < 1 || isempty(time)time = datenum([2000 1 1 1 30 0]);
end
if nargin < 2 || isempty(latitude)latitude = 50;
end
if nargin < 3 || isempty(longitude)longitude = 40;
end
if nargin < 4 || isempty(height)if (ischar(time) || numel(time) == 1) && ...numel(latitude) == 1 && numel(longitude) == 1height = 100:50:2000;elseheight = 100;end
end
if nargin < 5 || isempty(utc)utc = true;
elseif ischar(utc)switch lower(utc)case {'utc', 'u'}utc = true;case {'local', 'lt', 'l'}utc = false;otherwiseerror('iri:badUTC', ['Unrecognized command ' utc '. Valid ' ...'options are ''utc'', ''u'', ''local'', ''lt'', or ' ...'''l''.']);end
end
if nargin < 6 || isempty(coord)coord = 'geod';
end
if isunix || ismac % Curl is built-in to operating system.curldir = [];
elseif nargin < 7 || isempty(curldir)curldir = fpath;
end
if nargin < 8Rz12 = [];
end
if nargin < 9IG12 = [];
end
if nargin < 10f10_7_daily = [];
end
if nargin < 11f10_7_81day = [];
end
if nargin < 12tec_hmax = [];
end
if nargin < 13 || isempty(ne_top)ne_top = 'NeQuick';
end
if nargin < 14 || isempty(fpeak)fpeak = 'URSI';
end
if nargin < 15 || isempty(f2storm)f2storm = true;
elseif ischar(f2storm)if strcmpi(f2storm, 'on')f2storm = true;elseif strcmpi(f2storm, 'off')f2storm = false;elseerror('iri:invalidf2storm', ...'Unrecognized input ''%s'' for F2STORM.', f2storm);end
end
if nargin < 16 || isempty(fpeak_height)fpeak_height = 'AMTB2013';
end
if nargin < 17 || isempty(bottom)bottom = 'ABT-2009';
end
if nargin < 18 || isempty(f1_prob)f1_prob = 'Scotto-1997 no L';
end
if nargin < 19 || isempty(auroral_boundary)auroral_boundary = false;
elseif ischar(auroral_boundary)if strcmpi(auroral_boundary, 'on')auroral_boundary = true;elseif strcmpi(auroral_boundary, 'off')auroral_boundary = false;elseerror('iri:invalid_auroral_boundary', ...'Unrecognized input ''%s'' for AURORAL_BOUNDARY.', ...auroral_boundary);end
end
if nargin < 20 || isempty(foE_storm)foE_storm = true;
elseif ischar(foE_storm)if strcmpi(foE_storm, 'on')foE_storm = true;elseif strcmpi(foE_storm, 'off')foE_storm = false;elseerror('iri:invalid_foE_storm', ...'Unrecognized input ''%s'' for foE_STORM.', foE_storm);end
end
if nargin < 21 || isempty(Ne_Dreg)Ne_Dreg = 'IRI-95';
end
if nargin < 22 || isempty(Te_top)Te_top = 'TBT2012+SA';
end
if nargin < 23 || isempty(ioncomp)ioncomp = 'RBV10/TTS03';
end
if nargin < 24 || isempty(NmF2_foF2)NmF2_foF2 = 0;
end
if nargin < 25 || isempty(hmF2_M3000F2)hmF2_M3000F2 = 0;
end
if nargin < 26 || isempty(NmE_foE)NmE_foE = 0;
end
if nargin < 27 || isempty(hmE)hmE = 0;
end
if nargin < 28 || isempty(B0)B0 = 0;
end% Convert time to a datenumber if it is a string.
if ischar(time)time = datenum(time);
end% Get year, month, day, hour for IRI.
[year, month, day, hour, minute, second] = datevec(time);
hour = hour + minute/60 + second/3600;
dayyear = dayofyear(year, month, day);% Convert the coordinates.
switch lower(coord)case {'geodetic', 'geod', 'gd'}geo_flag = '0.';case {'geocentric', 'geoc', 'gc'}% Convert coordinates to geodetic. The function ecef2geod assumes% meters, but we want units of km, so convert.[x, y, z] = sph2cart(longitude*pi/180, latitude*pi/180, ...height*1e3);[latitude, longitude, height] = ecef2geod(x, y, z);height = height/1e3;geo_flag = '0.';case {'geomagnetic', 'geom', 'gm'}geo_flag = '1.';otherwiseerror('iri:coordCommandUnknown', ['Command ' coord ' unknown. ' ...'Valid options are ''geodetic'', ''geocentric'', and ' ...'''geomagnetic''.']);
end% Error checking and input conversion.
if any(year(:) < 1958) || any(year(:) > 2020)error('iri:invalidYear', ['The year (given by input TIME) must be ' ...'between 1958 and 2020.']);
end
latitude = latitude(:).';
longitude = mod(longitude(:).', 360);
if any(latitude < -90) || any(latitude > 90)error('iri:invalidLatitude', ['Input LATITUDE must be between ' ...'-90 degrees and 90 degrees.']);
end
height = height(:).';
if any(height < 0) || any(height > 2e3)error('iri:invalidHeight', ...'Input HEIGHT must be between 0 km and 2000 km.');
end
if isempty(Rz12) || (Rz12 >= 0 && Rz12 <= 400)Rz12 = sprintf('&sun_n=%#g', Rz12);
elseerror('iri:invalidRz12', ...'Input RZ12 is %g but must be between 0 and 400.', Rz12);
end
if isempty(IG12) || (IG12 >= -50 && IG12 <= 400)IG12 = sprintf('&ion_n=%#g', IG12);
elseerror('iri:invalidIG12', ...'Input IG12 is %g must be between -50 and 400.', IG12);
end
if isempty(f10_7_daily) || (f10_7_daily >= 0 && f10_7_daily <= 400)f10_7_daily = sprintf('&radio_f=%#g', f10_7_daily);
elseerror('iri:invalidf10_7_daily', ...'Input f10_7_daily is %g must be between 0 and 400.', f10_7_daily);
end
if isempty(f10_7_81day) || (f10_7_81day >= 0 && f10_7_81day <= 400)f10_7_81day = sprintf('&radio_f81=%#g', f10_7_81day);
elseerror('iri:invalidf10_7_81day', ...'Input f10_7_81day is %g must be between 0 and 400.', f10_7_81day);
end
if isempty(tec_hmax) || (tec_hmax >= 50 && tec_hmax <= 2000)tec_hmax = sprintf('&htec_max=%#g', tec_hmax);
elseerror('iri:invalidTec_hmax', ['Input TEC_HMAX is %g km but must ' ...'be between 50 km and 2000 km.'], tec_hmax);
end
switch lower(ne_top)case {1, 'nequick', 'quick', 'qu', 'q', 'ne'}ne_top = '0.';case {2, 'iri01-corr', 'iri2001-corr', 'corr', 'c'}ne_top = '1.';case {3, 'iri01', 'iri2001', '2001'}ne_top = '2.';otherwiseif ~ischar(ne_top)ne_top = num2str(ne_top);elsene_top = ['''' ne_top ''''];enderror('iri:invalidNe_top', ['Unrecognized command ' ne_top ...' for input NE_TOP. Valid options are NeQuick (1, ' ...'''NeQuick'', ''Quick'', ''Qu'', ''Q'', or ''Ne''), ' ...'IRI01-corr (2, ''IRI01-corr'', ''IRI2001-corr'', ' ...'''corr'', or ''c'') and IRI2001 (3, ''IRI01'', ' ...'''IRI2001'', or ''2001'').']);
end
switch lower(fpeak)case {1, 'ursi', 'u'}fpeak = '0.';case {2, 'ccir', 'c'}fpeak = '1.';otherwiseif ~ischar(fpeak)fpeak = num2str(fpeak);elsefpeak = ['''' fpeak ''''];enderror('iri:invalidFpeak', ['Unrecognized command ' fpeak ...' for input FPEAK. Valid options are URSI (1, ''URSI'', ' ...' or ''U'') and CCIR (2, ''CCIR'', or ''C'').']);
end
if f2stormf2storm = '0.';
elsef2storm = '1.';
end
switch lower(fpeak_height)case {1, 'amtb2013', 'amtb', 'a'}fpeak_height = '0.';case {2, 'shu-2015', 'shu', 's'}fpeak_height = '1.';case {3, 'bse-1979', 'bse', 'b'}fpeak_height = '2.';otherwiseif ~ischar(fpeak_height)fpeak_height = num2str(fpeak_height);elsefpeak_height = ['''' fpeak_height ''''];enderror('iri:invalidFpeak_height', ['Unrecognized command ' ...fpeak_height ' for input FPEAK_HEIGHT. Valid options are ' ...'AMTB2013 (1, ''AMTB2013'', ''AMTB'', or ''A''), SHU-2015 ' ...'(2, ''SHU-2015'', ''SHU'', or ''S''), or BSE-1979 (3, ' ...'''BSE-1979'', ''BSE'', or ''B'')']);
end
switch lower(bottom)case {1, 'b0 table', 'b0table', 'b0', 'b'}bottom = '0.';case {2, 'gulyaeva', 'guly', 'g'}bottom = '1.';case {3, 'abt-2009', 'abt'}bottom = '2.';otherwiseif ~ischar(bottom)bottom = num2str(bottom);elsebottom = ['''' bottom ''''];enderror('iri:invalidBottom', ['Unrecognized command ' bottom ...' for input BOTTOM. Valid options are B0 Table (1, ' ...'''B0 Table'', ''B0Table'', ''B0'', or ''B''), Gulyaeva ' ...'(2, ''Gulyaeva'', ''Guly'', or ''G''), and ABT-2009 ' ...'(3, ''ABT-2009'', or ''ABT'').']);
end
switch lower(f1_prob)case {1, 'scotto-1997 no l', 'no l', 'nl'}f1_prob = '0.';case {2, 'scotto-1997 with l', 'with l', 'wl'}f1_prob = '1.';case {3, 'iri-95', 'iri95', 'iri', '95'}f1_prob = '2.';otherwiseif ~ischar(f1_prob)f1_prob = num2str(f1_prob);elsef1_prob = ['''' f1_prob ''''];enderror('iri:invalidF1prob', ['Unrecognized command ' f1_prob ...' for input F1PROB. Valid options are Scotto-1997 no L ' ...'(1, ''Scotto-1997 no L'', ''no L'', or ''nL'') ' ...'Scotto-1997 with L (2, ''Scotto-1997 with L'', ' ...'''with L'', or ''wL''), and IRI-95 (3, ''IRI-95'', ' ...'''IRI95'', ''IRI'', or ''95'').']);
end
if auroral_boundaryauroral_boundary = '0.';
elseauroral_boundary = '1.';
end
if foE_stormfoE_storm = '0.';
elsefoE_storm = '1.';
end
switch lower(Ne_Dreg)case {1, 'iri-95', 'iri95', 'iri', '95'}Ne_Dreg = '0.';case {2, 'fpt-2000', 'fpt', '2000'}Ne_Dreg = '1.';otherwiseif ~ischar(Ne_Dreg)Ne_Dreg = num2str(Ne_Dreg);elseNe_Dreg = ['''' Ne_Dreg ''''];enderror('iri:invalidD_reg', ['Unrecognized command ' Ne_Dreg ...' for input D_REG. Valid options are IRI-95 (1, ' ...'''IRI-95'', ''IRI95'', ''IRI'', or ''95'') and ' ...'FPT-2000 (2, ''FPT-2000'', ''FPT'', or ''2000'').']);
end
switch lower(Te_top)case {1, 'tbt2012+sa', 'tbt+sa', '2012+sa', 'sa'}Te_top = '0.';case {2, 'tbt-2012', 'tbt', '2012'}Te_top = '1.';case {3, 'iri-95', 'iri95', 'iri', '95'}Te_top = '2.';otherwiseif ~ischar(Te_top)Te_top = num2str(Te_top);elseTe_top = ['''' Te_top ''''];enderror('iri:invalidTe_top', ['Unrecognized command ' Te_top ...' for input TE_TOP. Valid options are TBT2012+SA (1, ' ...'''TBT2012+SA'', ''TBT+SA'', ''2012+SA'', or ''SA''), ' ...'TBT-2012 (2, ''TBT-2012'', ''TBT'', or ''2012''), and ' ...'IRI-95 (3, ''IRI-95'', ''IRI95'', ''IRI'', or ''95'').']);
end
switch lower(ioncomp)case {1, 'rbv10/tts03', 'rbv10'}ioncomp = '0.';case {2, 'ds95/dy85', 'ds95'}ioncomp = '1.';otherwiseif ~ischar(ioncomp)ioncomp = num2str(ioncomp);elseioncomp = ['''' ioncomp ''''];enderror('iri:invalidIoncomp', ['Unrecognized command ' ioncomp ...' for input IONCOMP. Valid options are RBV10/TTS03 (1, ' ...'''RVB10/TTS03'', ''RBV10'') and DS95/DY85 (2, ' ...'''DS95/DY85'' or ''DS95'').']);
end
if ~(NmF2_foF2 == 0 || (NmF2_foF2 >= 2 && NmF2_foF2 <= 14) || ...(NmF2_foF2 >= 1e3 && NmF2_foF2 <= 1e8))error('iri:invalidNmF2_foF2', ['Input NmF2_foF2 is %g but must be ' ...'one of 0, between 2 and 14 (MHz), or between 10^3 and 10^8 ' ...'(cm^-3).'], ...NmF2_foF2);
end
if ~(hmF2_M3000F2 == 0 || ...(hmF2_M3000F2 >= 100 && hmF2_M3000F2 <= 1000) || ...(hmF2_M3000F2 >= 1.5 && hmF2_M3000F2 <= 4))error('iri:invalidhmF2_M3000F2', ['Input hmF2_M3000F2 is %g but ' ...'must be one of 0, between either 1.5 and 4, or between 100 ' ...'and 1000 (km).'], hmF2_M3000F2);
end
if ~(NmE_foE == 0 || (NmE_foE >= 20 && NmE_foE <= 1e8) || ...(NmE_foE >= 0.1 && NmE_foE <= 14))error('iri:invalidNmE_foE', ['Input NmE_foE is %g but must be ' ...'one of 0, between 20 and 10^8 (cm^-3), or between 0.1 and 14 ' ...'(MHz).'], ...NmE_foE);
end
if ~(hmE == 0 || (hmE >= 70 && hmE <= 200))error('iri:invalidhmE', ['Input hmE is %g but must be either 0 or ' ...'between 70 and 200 (km).'], hmE);
end
if ~(B0 == 0 || (hmE >= 50 && hmE <= 500))error('iri:invalidhmE', ['Input B0 is %g but must be either 0 or ' ...'between 50 and 500 (km).'], B0);
end% Get the file name to create for the curl command. To allow function to
% run in a parfor loop, append the current task and a random number to the
% usual file name.
if license('test', 'Distrib_Computing_Toolbox')t = getCurrentTask();if isempty(t)fname = 'temp';elsefname = sprintf('temp%i', t.ID);end
elsefname = 'temp';
end
fname = fullfile(fpath, sprintf('%s_%i.html', fname, randi(2^53-1, 1)));% End of the string to be input into the system function.
endcmd = [Rz12 IG12 f10_7_daily f10_7_81day tec_hmax ...'&ne_top=' ne_top ...'&imap=' fpeak ...'&ffof2=' f2storm ...'&hhmf2=' fpeak_height ...'&ib0=' bottom ...'&probab=' f1_prob ...'&fauroralb=' auroral_boundary ...'&ffoE=' foE_storm ...'&dreg=' Ne_Dreg ...'&tset=' Te_top ...'&icomp=' ioncomp ...sprintf('&nmf2=%#g', NmF2_foF2) ...sprintf('&f2=%#g', hmF2_M3000F2) ...sprintf('&user_nme=%#g', NmE_foE) ...sprintf('&user_hme=%#g', hmE) ...sprintf('&user_B0=%#g', hmE) ...sprintf('&vars=%i', 17:60) ...11:50) ......'" http://omniweb.gsfc.nasa.gov/cgi/vitmo/vitmo_model.cgi > "' ...'" https://ccmc.gsfc.nasa.gov/cgi-bin/modelweb/models/vitmo_model.cgi > "' ...fname '"'];% Get the beginning of the string to be input into the system function.
if isunix || ismac % Curl is built-in to operating system.initialcmd = 'curl --insecure -d "model=iri2016';
else % Use the input curldir (possibly the default for that input).initialcmd = ['"' fullfile(curldir, 'curl"') ...' --insecure -d "model=iri2016'];
end% If one of the inputs can be swept keeping the others constant, run a
% sweep on the model.
A = [numel(unique(height)), numel(unique(latitude)), ...numel(unique(longitude)), numel(unique(year)), ...numel(unique(dayyear)), numel(unique(hour))];
if all(A == [1 1 1 1 1 1]) % Just one unique input.profile = 0;
elseif all(A == [A(1) 1 1 1 1 1]) % Sweep altitude.[sweep, tmp, sortind] = unique(height);if all(abs(diff(diff(sweep))) < 1e-12)profile = 1;height = sweep(1);sweepmax = 2000;else % Altitude is unsweepable because steps are not linear.profile = 9;end
elseif all(A == [1 A(2) 1 1 1 1]) % Sweep latitude.[sweep, tmp, sortind] = unique(latitude);if all(abs(diff(diff(sweep))) < 1e-12)profile = 2;latitude = sweep(1);sweepmax = 90;else % Latitude is unsweepable because steps are not linear.profile = 9;end
elseif all(A == [1 1 A(3) 1 1 1]) % Sweep longitude.[sweep, tmp, sortind] = unique(longitude);if all(abs(diff(diff(sweep))) < 1e-12)profile = 3;longitude = sweep(3);sweepmax = 360;else % Longitude is unsweepable because steps are not linear.profile = 9;end
elseif all(A == [1 1 1 A(4) 1 1]) % Sweep year.[sweep, tmp, sortind] = unique(year);if all(abs(diff(diff(sweep))) < 1e-12)profile = 4;year = sweep(1);sweepmax = 2016;else % Year is unsweepable because steps are not linear.profile = 9;end
elseif all(A == [1 1 1 1 A(5) 1]) % Sweep day of year or month.[sweep, tmp, sortind] = unique(dayyear);if all(abs(diff(diff(sweep))) < 1e-12)profile = 7;dayyear = sweep(1);sweepmax = 365 + ( (~mod(year(1), 4)...& mod(year(1), 100)) | (~mod(year(1), 400)) );% Day of year steps are not linear, but maybe month steps are.elseif numel(day(1)) == 1[sweep, tmp, sortind] = unique(month);profile = 5;month = sweep(1);sweepmax = 12;else % Day of year is unsweepable because steps are not linear.profile = 9;end
elseif all(A == [1 1 1 1 1 A(6)]) % Sweep hour in a day.[sweep, tmp, sortind] = unique(hour);if all(abs(diff(diff(sweep))) < 1e-12)profile = 8;hour = sweep(1);sweepmax = 24;else % Hour is unsweepable because steps are not linear.profile = 9;end
elseprofile = 9;
end% Call curl depending on the sweep profile.
switch profilecase 0[status, result] = system([initialcmd ...sprintf('&year=%i', year) ...sprintf('&month=%i', month) ...sprintf('&day=%i', day) ...sprintf('&time_flag=%i', ~utc) ...sprintf('&hour=%#g', hour) ...'&geo_flag=' geo_flag ...sprintf('&latitude=%#g', latitude) ...sprintf('&longitude=%#g', longitude) ...sprintf('&height=%#g', height) ...'&profile=1' ...sprintf('&start=%#g', height) ...sprintf('&stop=%#g', height) ...'&step=1.' ...endcmd]);if status == 0out = parseresult(fname, 1);elseerror('iri:curlError', ['Curl command did not work. ' ...'It returned status:%i,\n%s\n'], status, result);endcase {1 2 3 4 5 7 8}% The online interface will only output up to a sweep length of% 1000, so split the sweep into increments of 1000.nsweeps = ceil(numel(sweep) / 1e3);sweepstart = sweep(1 : 1e3 : end);sweepstop = sweep(1e3 : 1e3 : end);if numel(sweepstart) - 1 == numel(sweepstop)sweepstop(end + 1) = sweep(end);endsweepstep = mode(diff(sweep));sweeplen = round((sweepstop - sweepstart) ./ sweepstep + 1);prevsweeplen = [0 sweeplen(1:end-1)];sweepstop = min([sweep(end) + sweepstep/10, sweepmax]);out = zeros(44*sum(sweeplen), 1);for index = 1:nsweeps[status, result] = system([initialcmd ...sprintf('&year=%i', year(1)) ...sprintf('&month=%i', month(1)) ...sprintf('&day=%i', day(1)) ...sprintf('&time_flag=%i', ~utc) ...sprintf('&hour=%#g', hour(1)) ...'&geo_flag=' geo_flag ...sprintf('&latitude=%#g', latitude(1)) ...sprintf('&longitude=%#g', longitude(1)) ...sprintf('&height=%#g', height(1)) ...sprintf('&profile=%i', profile) ...sprintf('&start=%#g', sweepstart(index)) ...sprintf('&stop=%#g', sweepstop) ...sprintf('&step=%#g', sweepstep) ...endcmd]);if status == 0out((1:44*sweeplen(index)) + 44*prevsweeplen(index)*...(index-1)) = parseresult(fname, sweeplen(index));elseerror('iri:curlError', ['Curl command did not work. ' ...'It returned status:%i,\n%s\n'], status, result);endend% profile = 9 means there is more than one unique run to make. Turn all% the scalars into vectors with the same number of elements as the% largest array. If there is an array smaller than the largest array,% throw an error.case 9maxnum = max([numel(height), numel(latitude), ...numel(longitude), numel(year), numel(day), numel(month), ...numel(hour)]);if numel(height) == 1height = repmat(height, maxnum, 1);elseif numel(height) ~= maxnum && numel(height) > 1error('iri:invalidSize', ['Input vectors must all have ' ...'the same number of elements.']);endif numel(latitude) == 1latitude = repmat(latitude, maxnum, 1);elseif numel(latitude) ~= maxnum && numel(latitude) > 1error('iri:invalidSize', ['Input vectors must all have ' ...'the same number of elements.']);endif numel(longitude) == 1longitude = repmat(longitude, maxnum, 1);elseif numel(longitude) ~= maxnum && numel(longitude) > 1error('iri:invalidSize', ['Input vectors must all have ' ...'the same number of elements.']);endif numel(time) == 1year = repmat(year, maxnum, 1);month = repmat(month, maxnum, 1);day = repmat(day, maxnum, 1);hour = repmat(hour, maxnum, 1);elseif numel(time) ~= maxnum && numel(time) > 1error('iri:invalidSize', ['Input vectors must all have ' ...'the same number of elements.']);endout = zeros(44*maxnum, 1);for index = 1:maxnum[status, result] = system([initialcmd ...sprintf('&year=%i', year(index)) ...sprintf('&month=%i', month(index)) ...sprintf('&day=%i', day(index)) ...sprintf('&time_flag=%i', ~utc) ...sprintf('&hour=%#g', hour(index)) ...'&geo_flag=' geo_flag ...sprintf('&latitude=%#g', latitude(index)) ...sprintf('&longitude=%#g', longitude(index)) ...sprintf('&height=%#g', height(index)) ...'&profile=1' ...sprintf('&start=%#g', height(index)) ...sprintf('&stop=%#g', height(index)) ...'&step=1.' ...endcmd]);if status == 0out((1:44) + 44*(index-1)) = parseresult(fname, 1);elseerror('iri:curlError', ['Curl command did not work. ' ...'It returned status:%i,\n%s\n'], status, result);endend
end % End case% Right now, out has all the data in one long vector, but we want it to be
% an array, so reshape.
out = reshape(out, 44, []).';% Resort the output if we did a sweep.
if profile >= 1 && profile <= 8out = out(sortind, :);
end% Return the day of the year.
function dayyear = dayofyear(year, month, day)previous = cumsum([0, 31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30]);
dayyear = previous(month) + day + double( ...(~mod(year, 4) & mod(year, 100)) | (~mod(year, 400)) & (month > 2) );% Parse the result file output by the system command.
function data = parseresult(fname, sweeplen)% Get the data from fname into a string, then delete the file.
fid = fopen(fname);
if fid == -1error('iri:parseresult:cannotOpenFile', ['Cannot open %s ' ...'file generated by curl command.'], fname);
end
result = fread(fid, '*char').';
f = fclose(fid);
if f == -1error('iri:parseresult:cannotCloseFile', ['Cannot close %s ' ...'file generated by curl command.'], fname);
end
delete(fname);% Data starts at line 247. If there isn't a line 247, there was an error.
% Also, if line 4 says "No data for your input selection" there was an
% error. (NOTE: not sure if the "No data ..." still applies, but leaving
% the check in just in case.)
newlines = find(result == sprintf('\n'));
if length(newlines) < 142% Output the error with the HTML tags removed.error('iri:parseresult:modelWebError', regexprep(['The online ' ...'interface returned:\n' result], '<[^>]*>', ''));
elseif strfind( result( newlines(3)+1 : newlines(4)-1 ), ...'No data for your input selection' )error('iri:parseresult:modelWebError', ['The online interface ' ...'returned: No data for your input selection.']);
end
data = sscanf(result(newlines(142)+1 : newlines(142 + sweeplen)-1), '%f');完整的iritest.m代码：
% IRITEST Plot electron density around the world to test IRI functions.%% Clear variables and close all figures.
tic;
clear;
close all;%% Test values.
time = datenum([2012 7 17 12 0 0]); % Must be a scalar in this script.
latitude = -90:1:90; % Degrees. Can be a vector or scalar.
longitude = -180:1:180; % Degrees. Can be a vector or scalar.
altitude = 100; % km. Must be a scalar in this script.
fun2test = @iri2016; % Either @iri2012 or @iri2016.
useparfor = false; % True: use parfor (requires Parallel Computing Toolbox).% False: use a regular for loop.% %% Compute B-field (needs function IGRF from MATLAB file exchange).
% [LAT, LON] = meshgrid(latitude, longitude); s = size(LAT);
% [Bx, By, Bz] = igrf(time, LAT, LON, altitude, 'geod');
% Bx = reshape(Bx, s); By = reshape(By, s); Bz = reshape(Bz, s);
% decl = atan(By./Bx)*180/pi;
% B = hypot(Bx, hypot(By, Bz));%% Compute electron density for all values above.
Ne = zeros(numel(latitude), numel(longitude));% Use a parfor loop or regular for loop?
if useparfor && license('test', 'Distrib_Computing_Toolbox')% Check for the parfor_progress function.use_parfor_progress = exist('parfor_progress.m', 'file');% Make the function call. Index into the vector (latitude or longitude)% with fewer elements.if numel(latitude) >= numel(longitude)% || altitude ~= 100latitude = latitude(:); N = numel(longitude);if use_parfor_progresstemp = parfor_progress(N); clear temp; %#okendparfor index = 1:Nout = fun2test(time, latitude, longitude(index), altitude);Ne(:, index) = out(:, 1);if use_parfor_progressfprintf('%4.4g%% Complete\n', parfor_progress);endendelselongitude = longitude(:); N = numel(latitude);if use_parfor_progresstemp = parfor_progress(N); clear temp; %#okendparfor index = 1:Nout = fun2test(time, latitude(index), longitude, altitude);Ne(index, :) = out(:, 1).';if use_parfor_progressfprintf('%4.4g%% Complete\n', parfor_progress);endendend% Close the parfor_progress.txt file.if use_parfor_progresstemp = parfor_progress(0); clear temp; %#okendelse % Use regular for loop.% If user wanted to use parfor but we got here, it means the license% check above failed.if useparforwarning(['Parallel Computing Toolbox not available. ' ...'Using regular for loop.'])end% Index into the vector (latitude or longitude) with fewer elements.if numel(latitude) >= numel(longitude)% || altitude ~= 100latitude = latitude(:); N = numel(longitude);for index = 1:Nout = fun2test(time, latitude, longitude(index), altitude);Ne(:, index) = out(:, 1);fprintf('%4.4g%% Complete\n', index/N*100);endelselongitude = longitude(:); N = numel(latitude);for index = 1:Nout = fun2test(time, latitude(index), longitude, altitude);Ne(index, :) = out(:, 1).';fprintf('%4.4g%% Complete\n', index/N*100);endendend%% Plot data.
figure;
if ~license('test', 'MAP_Toolbox')hold on;% surf(LON.', LAT.', B.'); %declsurf(longitude, latitude, Ne);colormap(jet(64));shading flat;clim = get(gca, 'CLim'); zlim = get(gca, 'ZLim');load('topo.mat', 'topo'); topo = [topo(:, 181:360), topo(:, 1:180)];[C, h] = contour3(-180:179, -90:+89, topo + zlim(2), [0 0] + zlim(2));set(h, 'EdgeColor', 0.25*[1 1 1]);set(gca, 'XLim', [-180 180], 'XTick', [], ...'YLim', [-90 90], 'YTick', [], 'CLim', clim);
elseaxesm miller; axis fill;hold on;% surfm(LAT, LON, B); %declsurfm(latitude, longitude, Ne);% load coast;从MATLAB R2016a开始，海岸线数据被移除，取而代之的是使用load('coastlines')加载海岸线数据。load('coastlines'); %加载海岸线的经纬度数据% plotm(lat, long, 'Color', 0.25*[1 1 1]);plotm(coastlat, coastlon, 'Color', 0.25*[1 1 1]);
end
hc = colorbar;
title(hc, '\itN_e\rm in m^{-3}');
% title(['Magnetic Field Declination in degrees at \ith\rm = ' ...
% sprintf('%g km', altitude) ' at ' datestr(time) ' UTC']);
title(['Electron Density (\itN_e\rm) at \ith\rm = ' ...sprintf('%g km', altitude) ' at ' datestr(time) ' UTC']);
print -dpng -r100 iri.png%%
toc;最后在matlab运行iritest.m的结果为：
