Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit355-05-20021017_002300_20021017_050800-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/10/17 |
Start Time | | 2002/10/17 00:23 |
End Time | | 2002/10/17 05:06 |
Key Words | | Facsko et al 2016: 1-year run of GUMICS |
Model | | GUMICS |
Model Version | | 4-HC |
Validation Level | | 1 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSE |
Dipole Tilt, in the X-Z Plane, at Start deg | | 18.34 |
Dipole Tilt, in Y-Z GSE plane, deg | | 15.70 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 177.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit355-05-20021017_002300_20021017_050800-constBx0 |
Minimum Dst Value | | -62 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | NO |
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View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for IMP-8 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAU2F0IEphbiAxMiAxODo1MDo0NCBFU1QgMjAxOYIVlY4AAAHKdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQzNTUtMDYtMjAwMjEwMTdfMDUwOTAwXzIwMDIxMDE3XzA5NTQwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIElNUC04IHRyYWplY3RvcnkuIiwgCiAgICAieGF4aXMiOiB7ICJsYWJlbCI6IiIsICJtaW4iOiIyMDAyLTEwLTE3VDA1OjA5OjAwLjAwMFoiLCAibWF4IjoiMjAwMi0xMC0xN1QwOTo1MjowMC4wMDBaIiwgImxlZnQiOjc4LCAicmlnaHQiOjcwOSwgInR5cGUiOiJsaW4iLCAidW5pdHMiOiJVVEMiIH0sCiAgICAieWF4aXMiOiB7ICJsYWJlbCI6InJobyIsICJtaW4iOjIuMDkxOTQ5OTk5NSwgIm1heCI6Mi45NDg4NTAwMDA1LCAidG9wIjo1MiwgImJvdHRvbSI6MjM1LCAidHlwZSI6ImxpbiIsICJ1bml0cyI6IiIgfQogIH0KIF19uDuXRgAAAARnQU1BAACvyDcFiukAACH6SURBVHic7d19cBXl9cBxFNBAWkogFRPJhUix0hGrjjogUUMkCAYULaVBIIKpTevLaFuUtxBKW7DtNIx1ULQ2dpxBCdrRjNak41jTjtSaMc3QUomhUECgEIi8JCqIQH5nssz+1mfvbvYm+1yWPN/PH8zevbvP7p6zu+fszSXp1Q4AAIBQ9TrTOwAAANDT0GABAACEjAYLAAAgZDRYAAAAIaPBAgAACBkNFgAAQMhosAAAAEJGgwUAABAyGiwAAICQ0WABAACEjAYLAAAgZDRYAAAAIaPBAgAACBkNFgAAQMhosAAAAEJGgwUAABAyGiwAAICQ0WABAACEjAYLAAAgZDRYAAAAIaPBAgAACBkNFgAAQMhosAAAAEJGgwUAABAyGiwAAICQ0WABAACEjAYLAAAgZDRYAAAAIaPBAgAACBkNFgAAQMiMaLB69TLiMAEgXDpunu+8887IkSM7HVnHpqkFSCYjzjavi4qLDQB86LhJ5uTkvPzyy2dk09zzLcQhOYyIcqKPSq+//voNN9xw/vnnZ2Rk3HXXXfv27bMXc3KuHne+4tSpU4888sjAgQPT0tIWLlwoL+23Nm7cOHHixNTU1MzMzIqKirir19TU5OXlpaSkyF4VFxe3tLT4D+s132sc54EE3O24yyvRGDBggFdAfAb3CqnX8ocOHSoqKho0aFB6evqyZcs6Xd7noAyPvFck/U/yAwcOZGVlBclUQpHXwSto55xzzpAhQwoLC3ft2uWzehf2f+/evffee+/w4cP79u0ra02aNEnuMHF3RpkpE9/4xjecm5DpUaNGORew32psbLzjjjskceedd97VV1/90ksvWfMPHz4s+zly5Mh+/frJ1m+77bY333yz031270yXF3CTM/PYsWPd33QXaG0sEkqcRU45udyctwKnbdu2TZkyZWAHmZCXPhtNgmRuq2cwIl6J3iPGjx8vD1hSaVpbW5cvXy5F0X+cgKfdU089ddVVV/23g0w888wz1vympiYpTmvXrj148ODOnTtnzpwZd/X8/Pzq6uq2trbm5uaSkpKCggL/Yb3me43jdThe4wQ5/FWrVs2fP78LMfEa02v5uXPnSmnc12HGjBnPPvts14ITl1GR94qk/0kuDcTKlSudy4QSeR3cDZY1cfLkyT179vz4xz/OycnxWT3R/d+9e/ewYcNk2M2bN3/66adSSl977bWbb7457s4oM2VCWqVXX33VfuuVV16ROe4Ga8uWLVKqf/3rX8sNRHqXd99991vf+pb1lmzrnnvukQU+++yz/fv3r1+//sYbb/Tf57g70+UFurzKWd1gBUycnB7f/va377zzzrgDjh07dsmSJYc6LFq0SF76bDQJaLASdXbHS24lDz744JAOMmE/Fcl5IAVm6NCh8lRqvfzlL395wQUXyOPdfffdJzcae7H2Lz6auzch5bB///7O5d0CnnZyeUh9taZlYty4cda0dFSrV68OeMgW6fxSU1P9h/Wa7zWOTTmcTsfxOnyJc3Z2ttxBfA7Ea3CvMb2WHzx4sHQt1rR0BnaN7E5w4urxkfeKpM9JLq3DiBEjjh496lymm5H//PPPly5dGovF5Nld+gZrps/1vmbNGuljUlJSxowZs2nTJmv+m2++eeWVV8pMecvqhNwXu3Jchw8f7tevn0x8//vft5tLUVFRIXP89z9uiO6++24pjV6h67TBevHFF52bkKN76aWX3DsvFfrnP/953E3I4chBee2Ac6M+N8l2j+D73zwTXcV9346bVq/TwEmeWqXFlGMZMGDA7bfffuDAgSCH479ROQFkQFleAhVW4oRcbnLRuUcTUnrkRmFNHzlyxK5Ezi26z2dnDDuNgzxX/OxnPxs+fHhaWtq8efM+/vhja777AnRvK0j9vf7669etW2fvsDwAZGRkBDkhe4azu8GSM2DChAm7OowfP76srMyaLwm+7bbb5HnUfimL7e4gEz/5yU/s+cqEQs62Rx991P6kQRZLT0+Xs/yyyy77zW9+c+LECf/5CjnF7fNbHiXlxLWm5eyUA5HTTi6DoqIieVjp9MCrqqpyc3P9h/Wa7zWOTYlGp+N4RU9Kmlyx/gfiNbhXSL2WlzuUvLSm5YbVaRCCBCeuHh95r0j6nOS33HLL888/r+xPNyMv7YLEZ+vWrQcPHnzooYesmT7X+7Rp07Zv3y4X7PLly+3CJtfUH/7wB7nvy229uLg4btCclWbv3r0LFiywPuCRDuOGG25Yv369TFdWVsr08ePH/fc/bjpkH6TIxT1Gr1Wc9yXZq5EjR/7tb3+Tl7W1tTItc9w3LrmHxP35kZg8efKMGTM2bNjw6aefeu1Ge4CbpE/wvcZMdBX3fTtuWr2Gdbr88svfeustOWSp5ffff/93v/vd4IcTd6OlpaUSyT0dJk6cGFbi2n0brOnTp8uOySFIUZAdkJc+G40bw07jUF5eftNNN/33v/+VC2327Nk/+tGPrPlxL0BlW0Hq75/+9KdRo0bJsVtvyWX4i1/8Iu7B9khnd4N18cUXv//++9a0PGrIY7Q1LQnesWOHvZi8tBf797//7VxMmXCyWnV5pPvPf/7jnC/36/fee08uPPu0859vO/fcc617tJCJ3r17W9MyIWd2c4fCwsK5c+f6H3VDQ0N2drZ91/Ya1mu+1zjOAw+y217LW+SKuuSSSzZv3ux/LP6Du0PqtfycOXNmzZplxVCe5vv06eO/fKcHFZcJkfeKpMWdkTfeeOPaa6+1vm7i3J9uRv5rX/ua/eGBzed6l97Imv7kk0+sj6BEVlbW448//uGHHzoHcRckJ3mOl1uE9da+ffskTQsXLpR/7S9iJnrmSACdnY378wb3Ksq7Tz/99K233tre8cO+3/72t+4FrK0cPXo07g4cOXJECuE3v/nNlJQUCeD8+fPjfn7Q6U3SJ/hex57oKu77dty0eg3rRSIwdOjQ4IfjtdHGxkZrWlYMK3HShRR2iLvn1s+XrRNGJuy2Ke5G7ZfOGHYah0svvfSDDz6wpuUkl61Y03EvQGVbAevvNddcYz2AbdmyRXZAohp393qks7vBkluGfVuRCXlpTUuClW8Eey2mTCjkjFy2bNn111/vfkueieM+fDvnKzdTn2d652cG6enpcVe3yMNQLBarq6uz53TtowL3OLZQPkeRh/6pU6e65yuCfJ7hDKnX8h999JF0A1Id5VF+xYoVF154of/yXfgEy5DIe0XSyZmR0aNHv/322+79STQ4ytnuvLRtPte7czH75T/+8Y9p06YNHjx45MiR9s/1vBa29mfJkiX2dy6FPJTLAvbPKH3234sE0KeT7tu3r/ITLjku6eGci8kCGRkZL7zwgvxr/5RNGcfnEyyb3BKlc7rrrrvcX/5rD3CTDBh8p0RXcd+3lXf9h3WSxwDJo5zG1kll98GJHo5zeTtTyk/D3QsHSZz9AC/PM/b9X7kKJkyYsGjRIvs7WPLSZ6P2S2cMO42DdJDOBwz73It7ASrbClh/q6qqvv71r584cWLmzJnywOM+hB7s7G6wAj4hOR/OZMK9mPXj6rikx3J/V0bs2rVLbmrB57d7f3sjJyfH+a0Xu8Fyk9qZmZlZX18fZFifL4vEHcemRK9r3wS64oorNmzY4HUgwQdv/2JIgyz/xBNP2F8aDes7WGZG3hlJJ2dGern4jx8w8tISJfQJlnMx5aXc6//4xz/anaJysSsLt7a22h9abNy4UR64X3755Ysuusj+GDvRM0camoULFyoz7Y2OGjXq3Xffdb7197//ffjw4cpijz76aJ8+feyfrbgbLEnTypUr/ffEIqX6y1/+snt+pzdJr+D73Dy78AlWkJdBPsGSmc8995w8LUhdl3/dEUv0XOrCJ1jtARLnT05F/+9gtXd2PncaB2l9tm/f7h427gWobCtgDOUClMewhx9+WE5s+7t9hji7Gyx53LR/Bix9emlpqTXffZFMnDjR+nqBTLi/CvDVr37V+SOVOXPmyMvjx49/+OGH999/v/3AV1hYKKeRnCLyrmz3gQce8J+vWLNmTdz/f1RRUWH/UEaG8vr2THl5eSwWsy/yTof1mu81jjNcQcb3Wr694/dcXHfddV7jBxncK6Rey0sA5RyQ4rFu3bqsrCz7Q+9EgxOXUZH3imSQk9y5P92M/IoVK3Jzc7dt2+b8Ckjw693eZykAss/SYElfa81ULnbnui0tLUuXLh0zZkx7x/cvpSr89a9/lelXX331yiuvtH7S57P/cavmjh07ZNP2/yKUw3nttdfsJaWFla385S9/OdKhtrb2sssu+9WvfuUzYHu8Or1lyxbpIFetWiWROXbsWF1dnf2/CG+88cb169fLk5vc0GSfS0pKJk+eHHdM/5ukV/CVeDoFzJdXAL1eeg3rJNF45ZVXJBRyCkko3BFL9FyS5e3vYN18880BG6xEF1BINy87Zn2CtXjx4rjdvM/53B4gDo899pjEQUaQy+Rf//rXd77zHWt+3AtQ2Vbw/MqDpcz83e9+FzcaPdjZfYRHjx6VG731vxhkwv640n2RWP9BJi0t7Qc/+IHzPztYE1L5Bg4caL988cUXL7/88vPOO08KjNyPpPF3zj///POlVZdzy96c13yFNPLSxVu/1GTBggXOD1Hldpaeni67J72d15fc3R8VtLW1+QzrNd9rHPdbne523OXbOz6Tq6qqinsUAWPiFVKv5aVJlTImT3j5+fkNDQ2dju9zUIZH3iuSQU5y5550M/LSDUhFGTp0qFwU0jdYM4Nf79aE9IjygJ6SkiLt0VtvvWXNVC52ZxgHDRp06623bt26VeYXFRVZ35uxyD5YTz7+SYl7LDt37rz77rslqn369Bk8ePDtt9/+zjvv2NH4/e9/f/XVV3+lg0w899xznQ7YK16dlsonI8teyY3rmmuusX8P1p///GeZL2GUOGRnZ9933332DU0Z0/8m6RV8JZ5OAfPldbxeL72GdZInDUl937595ZHm8ccfd0cs0XNJFvje974nwZEQ/fSnP5WRffY/ocT5kL550qRJ1rkh7Z11Zirc57Pz3U7jcPLkSZl/6aWXyqUtvb5994h7ASrbCp5fORtHjhz5+eefx41GD9bzjxAA4M+EaheWf/7zn9Kqnum96LoTJ04o/3lFt6lTp77wwgvJ3GJEcFEBgOlosDr10EMP7d27d8eOHTfddNMPf/jDM707Xffee+/Z/1tQt5MnTz799NOjR4+2f1ODUbiokAzun45F8IZ+VuxkonrkQSF0nBWdeuyxx4YOHXrBBRfcc889Z/XvGvjSl7705JNPJmdbcl4NHz5cWrrkbC5quKgAAABCRoMFAAAQMhosAACAkNFgAQAAhIwGCwAAIGQ0WAAAACEzpcGK+5/VAQBAWM50qY8WU8JB4gEA0Ic6qzAlHCQeAAB9qLMKU8JB4gEA0Ic6qzAlHCQeAAB9qLMKU8JB4gEA0Ic6qzAlHCQeAAB9qLMKU8JB4gEA0Ic6qzAlHCQeAAB9qLMKU8JB4gEA0Ic6qzAlHCQeAAB9qLOKnhwOfoU/AADJQZ1VmBIOEg8AgD7UWYUp4SDxAADoQ51VmBIOEg8AgD7UWYUp4SDxAADoQ51VmBIOEg8AgD7UWYUp4SDxAADoQ51VmBIOEg8AgD7UWYUp4SDxAADoQ51VmBIOEg8AgD7UWYUp4SDxAADoQ51VmBIOEg8AgD7UWYUp4SDxAADoQ51VmBIOEg8AgD7UWYUp4SDxAADoQ51VmBIOEg8AgD7UWYUp4SDxAADoQ51VRCUcNTU1eXl5KSkpGRkZxcXFLS0t7mW2bds2ZcqUgR1kQl4GH5/EAwCgD3VWEZVw5OfnV1dXt7W1NTc3l5SUFBQUuJcZO3bskiVLDnVYtGiRvAw+PokHAEAf6qwiiuFobW1NTU11z+/fv7+8ZU0fOXJEXgYfk8QDAKAPdVYRxXBUVVXl5ua650+fPr2srOzw4cOHDh0qLS2Vl8HHJPEAAOhDnVVELhwNDQ3Z2dlNTU3ut3bv3j1s2LBeHWRiz549ygK9fCVl9wEAMBF1VhGtcNTW1sZisbq6urjvTpgwYdGiRfZ3sORl8JFJPAAA+lBnFREKR2VlZWZmZn19vdcC/fr14ztYAABEEHVWEZVwlJeXx2KxxsZG91t2zsaOHVtaWmp9grV48eJx48YFH5/EAwCgD3VWEZVwuL8y1dbWZr9lTWzZsmXSpElf6TB58uStW7cmNH74Ow0AADpQZxWmhIPEAwCgD3VWYUo4SDwAAPpQZxWmhIPEAwCgD3VWYUo4SDwAAPpQZxWmhIPEAwCgD3VWYUo4SDwAAPpQZxWmhIPEAwCgD3VWYUo4SDwAAPpQZxWmhIPEAwCgD3VWYUo4SDwAAPpQZxWmhIPEAwCgD3VWYUo4SDwAAPpQZxWmhIPEAwCgD3VWYUo4SDwAAPpQZxWmhIPEAwCgD3VWYUo4SDwAAPpQZxWmhIPEAwCgD3VW0ZPD0euLzvTuAADQY1FnFaaEg8QDAKAPdVZhSjhIPAAA+lBnFaaEg8QDAKAPdVZhSjhIPAAA+lBnFaaEg8QDAKAPdVZhSjhIPAAA+lBnFaaEg8QDAKAPdVZhSjhIPAAA+lBnFaaEg8QDAKAPdVZhSjhIPAAA+lBnFaaEg8QDAKAPdVZhSjhIPAAA+lBnFaaEg8QDAKAPdVZhSjhIPAAA+lBnFaaEg8QDAKAPdVZhSjhIPAAA+lBnFVEJR01NTV5eXkpKSkZGRnFxcUtLS9zFNm7cOHHixNTU1MzMzIqKiuDjk3gAAPShziqiEo78/Pzq6uq2trbm5uaSkpKCggL3Mk1NTVlZWWvXrj148ODOnTtnzpwZfHwSDwCAPtRZRRTD0drampqa6p4vHdXq1au7NiaJBwBAH+qsIorhqKqqys3Ndc8fMmTI0qVLMzIyBg0aVFRUdOjQoeBjkngAAPShzioiF46Ghobs7Oympib3W7179549e3Zzh8LCwrlz5yoL9PKVlN0HAMBE1FlFtMJRW1sbi8Xq6urivjtgwID9+/db09JjpaenBx+ZxAMAoA91VhGhcFRWVmZmZtbX13stkJOTI32VNb1v3z4aLAAAIoI6q4hKOMrLy2OxWGNjo/stO2cVFRWzZs2yf0Q4b9684OOTeAAA9KHOKqISDvdXptra2uy37MXKysrS09PT0tLmzJnDl9wBAIgI6qzClHCQeAAA9KHOKkwJB4kHAEAf6qzClHCQeAAA9KHOKsIPx9GjR0tLS0eMGJGSkiL/lpWVHTt2LPStJIrEAwCgD3VWEX44Hnjggby8vE2bNkmnJf+OHz/+wQcfDH0riSLxAADoQ51VhB+OIUOG7Nq1y34p0zIn9K0kisQDAKAPdVZBgwUAALqLOqvQ8iPCCRMmvP/++0ePHpV/ZZofEQIA0LNRZxVavuS+ZMmSiy++OCUlRf5dunQpX3IHAKBno84qTAkHiQcAQB/qrMKUcJB4AAD0oc4qwg/Hpk2bxo0b169fP+cfFgx9K4mKwj4AANBTUWcV4YdjzJgxy5cv/+STT0IfuTtIPAAA+lBnFeGHIyUl5eOPPw592G4i8QAA6EOdVYQfjmHDhm3fvj30YbuJxAMAoA91VhF+OJ588slp06bt3bs39JG7g8QDAKAPdVYRTjh6dSaUrXRzr87IPgAAYALqrMKUcJB4AAD0oc4qwg/HOeecE/qY3UfiAQDQhzqrCD8cF1100f/+97/Qh+0mEg8AgD7UWUX44Vi1atUdd9yxY8eOU6dOhT54l5F4AAD0oc4qwg9HdL7kruzVmd4FAAB6LOqswpRwkHgAAPShzipMCQeJBwBAH+qswpRwkHgAAPShzipMCQeJBwBAH+qswpRwkHgAAPShzipMCQeJBwBAH+qswpRwkHgAAPShzipMCQeJBwBAH+qswpRwkHgAAPShzipMCQeJBwBAH+qswpRwkHgAAPShzipMCQeJBwBAH+qsIirhqKmpycvLS0lJycjIKC4ubmlp8VrywIEDWVlZiSaSxAMAoA91VhGVcOTn51dXV7e1tTU3N5eUlBQUFHgtee+9965cuZIGCwCA6KDOKqIYjtbW1tTU1Lhvbd68ecSIEUePHqXBAgAgOqiziiiGo6qqKjc3N+5bt9xyy/PPP9+eeCJJPAAA+lBnFZELR0NDQ3Z2dlNTk/utN95449prrz116lS7RyJ7+dK+6wAAmIo6q4hWOGpra2OxWF1dXdx3R48e/fbbb1vTfIIFAEB0UGcVEQpHZWVlZmZmfX291wLd+VCKxAMAoA91VhGVcJSXl8discbGRvdbXj8NTGh8Eg8AgD7UWUVUwuH+dKqtrc1+K+7yiY4fwl4CAIB4qLMKU8JB4gEA0Ic6qzAlHCQeAAB9qLMKU8JB4gEA0Ic6qzAlHCQeAAB9qLMKU8JB4gEA0Ic6qzAlHCQeAAB9qLMKU8JB4gEA0Ic6qzAlHCQeAAB9qLMKU8JB4gEA0Ic6qzAlHCQeAAB9qLMKU8JB4gEA0Ic6qzAlHCQeAAB9qLMKU8JB4gEA0Ic6qzAlHCQeAAB9qLMKU8JB4gEA0Ic6qzAlHCQeAAB9qLOKnhyOXl90pncHAIAeizqrMCUcJB4AAH2oswpTwkHiAQDQhzqrMCUcJB4AAH2oswpTwkHiAQDQhzqrMCUcJB4AAH2oswpTwkHiAQDQhzqrMCUcJB4AAH2oswpTwkHiAQDQhzqrMCUcJB4AAH2oswpTwkHiAQDQhzqrMCUcJB4AAH2oswpTwkHiAQDQhzqrMCUcJB4AAH2oswpTwkHiAQDQhzqrMCUcJB4AAH2oswpTwkHiAQDQhzqriEo4ampq8vLyUlJSMjIyiouLW1pauraMFxIPAIA+1FlFVMKRn59fXV3d1tbW3NxcUlJSUFDQtWW8kHgAAPShziqiGI7W1tbU1NTuL+NE4gEA0Ic6q4hiOKqqqnJzc7u/jBOJBwBAH+qsInLhaGhoyM7Obmpq6sIyvXzp3GsAAIxGnVVEKxy1tbWxWKyurq6by7iReAAA9KHOKiIUjsrKyszMzPr6+m4uExeJBwBAH+qsIirhKC8vj8VijY2N7rfsnPks0ykSDwCAPtRZRVTC4f7KVFtbm/1Wp8sEGV/LfgMAAOqsiynhIPEAAOhDnVWYEg4SDwCAPtRZhSnhIPEAAOhDnVWYEg4SDwCAPtRZhSnhIPE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