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1 IUGONET 2012/03/ , 2, 2, 3, 4, 5, IUGONET 1., 2. ISEE, 3. ICSWSE, 4., /09/15 IUGONET NICT 1
2 SPEDAS/TDAS 2
3 PC data. data data tplot SPEDAS/TDAS SPEDAS-CUI timespan, yyyy-mm-dd iug_load_*** tplot, +++ GUI 3
4 SPEDAS CUI GUI IDL SPEDAS UDAS SPEDAS GUI IDL IDL VM SPEDAS 4
5 SPEDAS 1. THEMIS Software 2. Future Release 1. Download TDAS SPEDAS 2.00 source 5
6 Windows Mac 6
![IDL thm_init Enter OK IDL> thm_init [enter] THEMIS](/docs-images/104/161988872/images/7-0.jpg "countdown: xxxxxx xxxxxx xxxx since launch THEMIS>")
7 IDL thm_init Enter OK IDL> thm_init [enter] THEMIS countdown: xxxxxx xxxxxx xxxx since launch THEMIS> <-- 7
8 1. IDL> spd_gui GUI CUI 8
9 PC IDL GUI VM spedas, install 9
![[1] spedas_v_2/spd_gui/ spedas spd_gui](/docs-images/104/161988872/images/10-1.jpg "[2] IDL Virtual Machine spd_gui IDL 10")
10 [1] spedas_v_2/spd_gui/ spedas spd_gui [2] IDL Virtual Machine spd_gui IDL 10
11 HTML documentation SPEDAS HTML document 11
12 IDL 12
13 spedas_2_00/idl/projects examples crib 13
14 iug_crib_ask_nipr.pro crib IDL>.r iug_crib_ask_nipr 14
15 15
16 DVD Users_Guide_SPEDAS_UDAS_ pdf 16
17 2017/09/15 IUGONET NICT 17
18 X CME IUGONET Type-A SPEDAS GOES X 2017/09/15 IUGONET NICT 18
19 19
20 1. IUGONET Type-A ( 2. Timespan 2012/03/05 to 2012/03/11 3. Search 20
21 1. Plot 21
22 QL /03/ /03/11 22
23 Geomagnetic Indices 1. ASY, SYM 23
24 QL SYM-H 24
25 Description Acknowledgement Contact Person Access Information 25
26 How to plot SPEDAS CUI GUI CUI #Basic 4 CUI #Advanced QL GUI GUI 26
27 27
28 Create 28
29 SYM-H KAG H Plot 29
30 30
31 How to plot SPEDAS CUI GUI CUI #Basic 4 CUI #Advanced QL GUI GUI 1. IDL Copy&Paste 31
32 1. IDL> thm_init 2. THEMIS> timespan, [' :00:00', ' :00:00'] timespan, YYYY-MM-DD, N N timespan, YYYY-MM-DD/hh:mm:ss, N, /hour N 3. THEMIS> iug_load_gmag_wdc, site= sym asy ( WDC SYM, ASY ) iug_load_gmag_wdc, site= kak (WDC kak ) xxx_load_yyy 4. THEMIS> split_vec, wdc_mag_sym SYM 5. THEMIS> split_vec, 'wdc_mag_asy ASY 6. THEMIS> tplot, ['wdc_mag_sym_0', 'wdc_mag_sym_1', 'wdc_mag_asy_0', 'wdc_mag_asy_1'] ( 1 ) 32
33 0. IDL 1. IDL> 2. THEMIS> tplot_names 1 wdc_mag_sym 2 wdc_mag_asy 3 wdc_mag_sym_0 4 wdc_mag_sym_1 5 wdc_mag_asy_0 6 wdc_mag_asy_1 3. THEMIS> tplot, [3, 4, 5, 6] Type-A QL 33
34 Geomagnetic Indices 1. SPEDAS 34
35 1. THEMIS> iug_load_gmag_wdc, site= ae AE ************************************************** The rules for the data use and exchange are defined by the Guide on the World Data Center System (ICSU Panel on World Data Centers, 1996). Note that information on the appropriate institution(s) is also supplied with the WDC data sets. If the data are used in publications and presentations, the data suppliers and the WDC for Geomagnetism, Kyoto must properly be acknowledged. Commercial use and re-distribution of WDC data are, in general, not allowed. Please ask for the information of each observatory to the WDC.The distribution of the data has been partly supported by the IUGONET (Inter-university Upper atmosphere Global Observation NETwork) project ( funded by the Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan. ************************************************** 2. THEMIS> tplot_names wdc_mag_ae_prov_1min 3. THEMIS> tplot, ['wdc_mag_sym_1', 'wdc_mag_ae_prov_1min'] SYM-H 35
36 1. THEMIS> tplot_options, region, [0.05, 0, 1, 1] 2. THEMIS> tplot 3. THEMIS> split_vec, wdc_mag_ae_prov_1min 4. THEMIS> tplot, ['wdc_mag_sym_1', 'wdc_mag_ae_prov_1min_0'] SYM-H AE AU, AL AE AU-AL AO AU AL 36
37 1. THEMIS> tplot_names, 'wdc_mag_ae_prov_1min', /verbose wdc_mag_ae_prov_1min tplot IDL 37
38 Geomagnetic Indices 1. SPEDAS 38
39 1. THEMIS> iug_load_gmag_mm210, site= kag 2. THEMIS> tplot_names mm210_mag_kag_1sec_hdz mm210_mag_kag_1min_hdz mm210_mag_kag_1h_hdz 3. THEMIS> tplot, ['wdc_mag_sym_1', 'wdc_mag_ae_prov_1min_0', 'mm210_mag_kag_1sec_hdz'] SYM-H AE KAG Ch1: Ch2: Ch3: 39
40 1. THEMIS> tlimit, , tlimit, YYYY-MM-DD/hh:mm:ss', 'YYYY-MM-DD/hh:mm:ss tlimit + tlimit, /last tlimit, /full timespan 2. THEMIS> ylim, wdc_mag_sym_1, -100, 100 ylim,, ymin, ymax 3. THEMIS> tplot 40
41 How to Plot CUI #Advanced 41
42 1. THEMIS> tdpwrspc, 'mm210_mag_kag_1sec_hdz', nboxpoints=512, nshiftpoints= THEMIS> tplot_names mm210_mag_kag_1sec_hdz_x_dpwrspc mm210_mag_kag_1sec_hdz_y_dpwrspc mm210_mag_kag_1sec_hdz_z_dpwrspc 3. THEMIS> tplot, ['wdc_mag_sym_1', 'wdc_mag_ae_prov_1min_0', 'mm210_mag_kag_1sec_hdz_x', 'mm210_mag_kag_1sec_hdz_x_dpwrspc'] 42
43 tinterpol, data1, data2 tplot data2 data1 tsmooth_in_time, data1, dt data1 dt thigh_pass_filter, data1, dt data1 dt tsub_average, data1 data1 /median tdpwrspc, data1, nboxpoints=nbx, nshiftpoints=nsp nbx nsp tclip, data1, amin, amax amin amax NaN tdeflag, data1, linear NaN or Inf tdegap, data1, maxgap=maxgap, margin=margin dt margin+dt maxgap*dt NaN clean_spikes wav_data, data1 add_data, data1, data2 data1 data2 dif_data, data1, data2 data1 data2 mult_data, data1, data2 data1 data2 div_data, data1, data2 data1 data2 avg_data, data1, res data1 res deriv_data, data1 data1 etc. 43
44 get_data, tplot ', data=d, dlimits=dl, lim=lim 1. THEMIS> get_data, 'mm210_mag_kag_1sec_hdz_x', data=d, dlimits=dl, lim=lim 2. THEMIS> help, d, /struct help IDL ** Structure <17ac3700>, 2 tags, length= , data length= , refs=1: X DOUBLE Array[604800] Y FLOAT Array[604800, 3] 3. THEMIS> help, dl, /strcut dl ** Structure <1ab92dd0>, 4 tags, length=1256, data length=1250, refs=2: CDF STRUCT -> <Anonymous> Array[1] SPEC BYTE 0 LOG BYTE 0 YSUBTITLE STRING '[nt]' help, dl.cdf, /struct d.x d.y 3 4. THEMIS> help, lim, /strcut dl 44
45 store_data, tplot, data={x:time, y:val} time: Unix time UT 1 [N] val: 1 [N] 1 [N][ M] M 2 d.x DOUBLE Array[604800] d.y FLOAT Array[604800, 3] 1. THEMIS> time = d.x IDL time 2. THEMIS> val = sqrt( d.y[*, 0]^2 + d.y[*, 1]^2 + d.y[*, 2]^2 ) sqrt(bx^2 + By^2 +Bz^2) IDL val 3. THEMIS> store_data, kag_abs', data = { x:time, y:val } 45
46 4. THEMIS> tplot_names kag_abs 5. THEMIS> tplot, ['mm210_mag_kag_1sec_hdz', 'kag_abs'] 46
47 calc, = tplot sin/cos/tan(),exp(), log(), abs(), min(), max(), total(), mean(), median() tplot 1. THEMIS> calc, ' "kag_abs_calc" = sqrt( "mm210_mag_kag_1sec_hdz_x"^2 + "mm210_mag_kag_1sec_hdz_y"^2 + "mm210_mag_kag_1sec_hdz_z"^2) ' 2. THEMIS> tplot, [ mm210_mag_kag_1sec_hdz, kag_abs, kag_abs_calc ] get_data calc 1 47
48 3. THEMIS> options, 'kag_abs_calc', 'labels', 'abs(mag) kag_abs_calc 4. THEMIS> tplot 48
49 1. THEMIS> makepng, Fig_test PNG Fig_test.png 2. JPEG THEMIS> makejpg, filename 3. GIF THEMIS> makegif, filename 4. Postscript THEMIS> popen, filename filename.ps THEMIS> tplot, tplot THEMIS> pclose filename.ps 49
50 1. THEMIS> tplot_ascii, 'mm210_mag_kag_1h_hdz mm210_mag_kag_1h_hdz.txt fname mm210_mag_kag_1h_hdz.txt /03:00: e e e /04:00: e e e /05:00: e e e THEMIS> tplot_save, 'mm210_mag_kag_1h_hdz saved.tplot filename tplot_restore ) THEMIS> store_data, mm210_mag_kag_1h_hdz, /delete tplot THEMIS> tplot_names mm210_mag_kag_1h_hdz THEMIS> tplot_restore, filename= saved.tplot mm210_mag_kag_1h_hdz 50
51 51
52 Tsurutani et al. (2014), J. Space Weather Space Clim., 4, A02, DOI: /swsc/ THEMIS> tplot, ['OMNI_HRO_5min_flow_speed', 'OMNI_HRO_5min_proton_density', 'OMNI_HRO_5min_Bxyz_GSE', 'wdc_mag_sym_1', 'wdc_mag_ae_prov_1min_0'] -148nT Magnetic Cloud IMF UT UT MC T 20*10^5K Coronal loop or coronal sheath UT SI+ ~60nT 52
53 1. THEMIS> timespan, , /03/ THEMIS> omni_load_data, /res5min (OMNI 5 ) 3. THEMIS> tplot_names 4. THEMIS> tplot, ['OMNI_HRO_5min_flow_speed', 'OMNI_HRO_5min_proton_density', 'OMNI_HRO_5min_T', 'OMNI_HRO_5min_F', 'OMNI_HRO_5min_BX_GSE', 'OMNI_HRO_5min_BY_GSE', 'OMNI_HRO_5min_BZ_GSE', 'wdc_mag_ae_prov_1min_0', 'wdc_mag_sym_1'] 5. THEMIS> ylim, 'wdc_mag_sym_1', -150, THEMIS> tplot 53
54 1. THEMIS> options, 'OMNI_HRO_5min_BX_GSE', labels='bx', colors=2 2. THEMIS> options, 'OMNI_HRO_5min_BY_GSE', labels='by', colors=4 3. THEMIS> options, 'OMNI_HRO_5min_BZ_GSE', labels='bz', colors=6 (IMF-Bx, By, Bz ) 4. THEMIS> store_data, OMNI_HRO_5min_Bxyz_GSE, data=[ OMNI_HRO_5min_BX_GSE, OMNI_HRO_5min_BY_GSE, OMNI_HRO_5min_BZ_GSE ] (IMF-Bx, By, Bz tplot 5. THEMIS> tplot, ['OMNI_HRO_5min_flow_speed', 'OMNI_HRO_5min_proton_density', 'OMNI_HRO_5min_T', 'OMNI_HRO_5min_F', 'OMNI_HRO_5min_Bxyz_GSE', 'wdc_mag_ae_prov_1min_0', 'wdc_mag_sym_1'] 54
55 1. THEMIS> timespan, [' :00:00', ' :00:00'] 2. THEMIS> goes_load_data, probes= 15, datatype= xrs, /avg_1m GOES-15 X 1 3. THEMIS> tplot, ['g15_xrs_avg', 'mm210_mag_kag_1sec_hdz'] X 55
56 tlimit X 1. THEMIS> tlimit, ' /20', ' /04' X D Solar Flare Event (SFE) 56
57 Type-A SuperDARN Hokkaido East 57
58 1. THEMIS> timespan, ' ' GOES-15 X 1 2. THEMIS> iug_load_sdfit, site= hok erg_load_sdfit SuperDARN 3. THEMIS> tplot_names 4. THEMIS> tplot, ['sd_hok_pwr_1', 'sd_hok_vlos_bothscat_1', 'sd_hok_spec_width_1'] SD 58
![1. THEMIS> splitbeam, 'sd_hok_vlos_bothscat_1' 2. THEMIS> loadct_sd, 44 SD 3. THEMIS> tplot, ['sd_hok_vlos_bothscat_1_azim04', 'sd_hok_vlos_bothscat_1_azim07', 'sd_hok_vlos_bothscat_1_azim10'] 4.](/docs-images/104/161988872/images/59-0.jpg "THEMIS> tlimit, '2012-03-09/06', '2012-03-09/12' 5. THEMIS> zlim, 'sd_hok_vlos_bothscat_1_*', -1500, 1500 6. THEMIS> tplot 08-09UT, Dst=-140nT SAPS (Sub-Auroral Polarization Stream) >1000m/s 59")
59 1. THEMIS> splitbeam, 'sd_hok_vlos_bothscat_1' 2. THEMIS> loadct_sd, 44 SD 3. THEMIS> tplot, ['sd_hok_vlos_bothscat_1_azim04', 'sd_hok_vlos_bothscat_1_azim07', 'sd_hok_vlos_bothscat_1_azim10'] 4. THEMIS> tlimit, ' /06', ' /12' 5. THEMIS> zlim, 'sd_hok_vlos_bothscat_1_*', -1500, THEMIS> tplot 08-09UT, Dst=-140nT SAPS (Sub-Auroral Polarization Stream) >1000m/s 59
60 1. THEMIS> window, 1, xsize=600, ysize=600 & erase 2. THEMIS> sd_init 3. THEMIS> sd_time, :00UT 4. THEMIS> sd_map_set, /erase, /clip, /mltlabel, center_glat=60, center_glon= THEMIS> overlay_map_sdfit, sd_hok_vlos_1 SD SPEDAS SuperDARN 2011/07/ /02/ /08/ /08/20 60
61 Type-A EISCAT ESR-42m 61
62 1. THEMIS> timespan, THEMIS> iug_load_eiscat, site= esr_42m ESR 42m 3. THEMIS> tplot, [ eiscat_esr42m_ne, eiscat_esr42m_te, 'eiscat_esr42m_ti', 'eiscat_esr42m_vi'] EISCAT 62
63 1. THEMIS> thm_load_gmag, site='lyr tro', /subtract_average Longyearbyen Tromso 2. THEMIS> tplot, ['eiscat_esr42m_ne', 'eiscat_esr42m_te', 'eiscat_esr42m_ti', 'eiscat_esr42m_vi', 'thg_mag_lyr', 'thg_mag_tro'] EISCAT 3. THEMIS> tlimit, ' /2', ' /8 63
64 Type-A 64
![1. THEMIS> timespan, ['2012-03-05 00:00:00', '2012-03-12 00:00:00'] 2. THEMIS> iug_load_meteor_rish, site = bik, parameter = [ h2t60min00, h2t60min30, h4t60min00, h4t60min30 ], length = 1_day BIK 3.](/docs-images/104/161988872/images/65-0.jpg "THEMIS> tplot, ['iug_meteor_bik_uwnd_h2t60min00', iug_meteor_bik_uwndsig_h2t60min00, iug_meteor_bik_vwnd_h2t60min00, 'iug_meteor_bik_vwndsig_h2t60min00', 'iug_meteor_bik_mwnum_h2t60min00'] uwnd vwnd")
65 1. THEMIS> timespan, [' :00:00', ' :00:00'] 2. THEMIS> iug_load_meteor_rish, site = bik, parameter = [ h2t60min00, h2t60min30, h4t60min00, h4t60min30 ], length = 1_day BIK 3. THEMIS> tplot, ['iug_meteor_bik_uwnd_h2t60min00', iug_meteor_bik_uwndsig_h2t60min00, iug_meteor_bik_vwnd_h2t60min00, 'iug_meteor_bik_vwndsig_h2t60min00', 'iug_meteor_bik_mwnum_h2t60min00'] uwnd vwnd 65
66 1. THEMIS> iug_load_gmag_wdc, site='sym SYM 2. THEMIS> split_vec, 'wdc_mag_sym 3. THEMIS> tplot, ['wdc_mag_sym_1', 'iug_meteor_bik_uwnd_h2t60min00', 'iug_meteor_bik_uwndsig_h2t60min00', 'iug_meteor_bik_vwnd_h2t60min00', 'iug_meteor_bik_vwndsig_h2t60min00', 'iug_meteor_bik_mwnum_h2t60min00'] 66
67 IUGONET Type-A QL IUGONET Type-A SPEDAS IUGONET Type-A QL SPEDAS 67
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