Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Vitor_Souza_112613_1b | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | July 07, 2009 |
Start Time | | 2009/07/07 14:00 |
End Time | | 2009/07/07 15:00 |
Key Words | | Magnetopause, Magnetic Reconnection |
Model | | SWMF |
Model Version | | v8.01 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | 30.41 |
Dipole Tilt, in Y-Z GSE plane, deg | | -14.54 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 0 |
F10.7 | | 74.00000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Vitor_Souza_112613_1b |
Minimum Dst Value | | 10 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | YES, plot them |
|
View interactive javascript plot of satellite positions during this run in a new window.
Satellite data B plot for GOES-12 for time period of this run.
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAU2F0IEphbiAyMCAxMjo0Njo0NCBFU1QgMjAxOOdWaqQAAAGSdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoiR09FUy0xMiAocGxvdCBvZiBCX0dTTV9jIGZyb20gY2Rhd2ViLmdzZmMubmFzYS5nb3YpIiwgCiAgICAieGF4aXMiOiB7ICJsYWJlbCI6IiIsICJtaW4iOiIyMDA5LTA3LTA3VDE0OjAwOjAwLjAwMFoiLCAibWF4IjoiMjAwOS0wNy0wN1QxNTowMDowMC4wMDBaIiwgImxlZnQiOjEwNCwgInJpZ2h0Ijo3MjIsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiVVRDIiB9LAogICAgInlheGlzIjogeyAibGFiZWwiOiJuVCIsICJtaW4iOi0xMDEuMCwgIm1heCI6MjAxLjAsICJ0b3AiOjUyLCAiYm90dG9tIjoyMzUsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiblQiIH0KICB9CiBdfQrlBO4AAAAEZ0FNQQAAr8g3BYrpAAA370lEQVR4nO3dD3SU1Z3/cQVbUNucCaKIIsKyrnYrbOV0PaahRfFfqRZtu3Wh0lq1rq7VI6uFZDe1/tml2q1yirsWarZau7Ug9igqf5QqlBZtFUE0GASRP0ZAkiAYQEiA5Pdpbvf5jZl7byaZG8LMfb8Oh/PkufPc5/ne5858v88zM8lhLQAAAAjqsO4+AAAAgEJDgQUAABAYBRYAAEBgFFgAAACBUWABAAAERoEFAAAQGAUWAABAYBRYAAAAgVFgAQAABEaBBQAAEBgFFgAAQGAUWAAAAIFRYAEAAARGgQUAABAYBRYAAEBgFFgAAACBUWABAAAERoEFAAAQGAUWAABAYBRYAAAAgVFgAQAABEaBBQAAEBgFFgAAQGAUWAAAAIFRYAEAAARGgQUAABAYBRYAAEBgFFgAAACBUWABAAAERoEFAAAQGAUW0M0mT5580UUX+R9z2GHhn6ovvvjiKaec0hU9d69DJ66uOIbgfR46wxXc6NGj77rrru4+CsSrAJ9UQB7ZtWtX375916xZ439YV+S/ESNGPP7448G77XaHTlx5UWAdOsMV3KpVq4499tgPP/ywuw8EkaLAQoHYsmXL9ddfP2jQoI997GPFxcVf/OIX586dm7RWVVXpcvYTrbTw+uuvJ02HZTDrd+zYUV5erov7I488Uh1ecsklzz33nGvvbbY15s+fP2rUqN69e/fv3//qq6+ur6/P3PCXv/zlmDFj2o2u3bTaibxbVFS0d+9ea1fG4Ycf3q9fv7Fjx9bU1Pi78gy+Zxi1i7/9279tbm5O+tHypz71qRxrCFdcB19eFFiHznB1BT3ZZ8yY0d1HgUhRYKEQvPvuuyeffPItt9xSXV2tC1aVMk8//fSFF15oWt966y1dyN57771bWk2ZMkU/aqVpdWUsbX7NNdesWbOmsbGxtrb20UcfHTlypP8w2nR1/vnnz5s3b+fOnVu3br322mut7wN+/etf/9///d92A+yKAsu1SbL+wIEDmzZt0qiOGDHC049/8D3DqB199rOffeqpp5KunnjiCa3JsYY4dN7tyosC69AZrq7w0EMPjRs3rruPApEq5KcW4nHVVVf967/+q6v18ssvv+2229LX/OAHPxg/frxZdiWYI488cseOHR06DE+uamhoOProozPXDx48eO3atek9/OhHPzruuOP69Onz3e9+V0VJm5737t1700039WulBXPvIfP2W7qObtJmjQZBQ+GJ2j/4nmHUjmbNmlVaWpqsOeussx577DF/yt+3b9+tt946cODAVCp1zz33ZPaZHpf+Vz09YMCAww8/vMUxFOZhP/3pT3UuPv7xj3/605/+wx/+oMR8yimn9O7dW4e0atWqLA9D5+v666/XuVP///mf/5kEsnr16q997WtaX1RU9JWvfKWurk4rhwwZsnLlSvOAX/ziF2ZBa7S+pbW6/fd///dBgwYVFxdfeeWVu3btSg7VOkPSKa7rrrvOHIYenBzGc889d8YZZygoFcSVlZWZw+UfW/P4adOmaXMzMlVVVZ4ArXv0PDibEDLP4LZt2/r27fv+++8n22qNxsesUWVvxhM4+CiwUAj69++vV21Xq16L04sY0Y/HH3+8WXal89GjR1922WVLlizJ/jMcnspg9uzZZ599duZ61R+7d+9O7+G88857t5UWbr/99jY9K/9pfU2rc845R5Viu7vu6Cbpd7C2bNlSVlbmv3XnH3zPMGpH2oXqmBdeeEE/Llq0SMta4y+w/uM//kMjqTOoDDphwgTP8ZvlSy65ZNOmTeZHz1BcdNFF6lN1zOTJkz/5yU+OGTPm7bffNj9aw7cehup4c/pM/8mRDBs2bOHChRoB1Zo33HDDd77zHa1UKaaqTgt6sPaoElzL999/v8omLdx7773nnnvuunXr1L8uBm6++ebkUK0zJN33v/99DfumVhdccEFyGDpTv/nNb1SUbNy48eqrr84crmzG9tJLL12/fr1G5o477kiKY2uArj26HpxNCNYzqFLs7rvvTra96667koPXcfovD4CuQ4GFQnDEEUek5+8292Z69uy5Z8+e9MfrwdqkzYPbbPXBBx/o1fzv/u7vdP39V3/1V9/73vfavaHlqgyWL18+ePBgaxWiztsUWG+88YZZTm5mpPesI0keUFVVlfmATB3dpM1oFBcXJzdarPyD7xlG85if/exn5lNoF1544QMPPOCPRf76r/86uXHiOv705Q0bNiQ/eoZi8+bNZlmnQz+qskx+tGZo62Gow/T+rYFoQAYMGKCFJ5988h//8R+1oOLg2GOPNTd4VIya90xPO+20N99802zy3nvvnXzyycmhWmdIOoWZ3HXTg5PDOOmkk+6777533nkn/cHpB5nN2LY7MkmArj26HpxNCNYzqEcOHDhw3759La034QYNGqR6zjyGAgvdiAILheD444/PLF+SF+XjjjuuE3ewEs3NzcpkV1xxRfIhqizfXDMWLVqkV/+XXnrJ2rkKr+TTYKaHpBbUgoqSNj1rjf8BmTq6Sfr62traioqKUaNGuTpvaW/wE9ZhbGl906d///6//vWv9X/y9qVnd+nhtHv8Wk7/EH2WQ+H/0XMYbfpPNly6dKnGUKWqmTaq+LVy586dmhhaGDp06Jw5cz73uc9pWWvMu4EqC9LL3B49eiQHYw2hzWEk736mH8ayZcsuvfTSY4455pRTTpk3b15mdB0a2/QfrQG69uh6cDYhuM7g6NGjZ86cqYUZM2Z84xvfSPpZs2aNajJPREDXocBCIVDaLi8vb7MyeVEeN25c5mewLr/88jYP89u+ffsnP/lJ/2Myu9KL/gknnPDKK6+4Nvn617+efP6m5aP3J7SQ/R0s8xkjq07cwUr/saGhwX8PwD/4baQPY/KYu+6664gjjkje5fGfEaXqDt3BSm/KciiyKbCsh5F+B0vVZLKh1j/88MPbtm3bv3+//k/Wn3322Y8++uiZZ56pZf0/e/bsc845xzSdeuqp69evt0ZnnSFtwrTe/jFUcaqes15gdGhs0390BWjdo//B/hBcZ/DZZ58tKSlpaf0Y3/Lly5N+HnroobFjx3oiAroOBRYKwYYNG1THJF9ke//9959++unkRfnNN9/s27fvlClTkm8R6sfkposrnY8cOVLJ77333mtqalq3bt21116rq2T/YbTp6t577x04cKD1I9KJX/7ylxdffHF6DxdccIH5hI0WMj8vVVFRkXwGZdSoUd///vfN+mOPPVaxW3fh2iSbAqu+vv7WW29V0vKE4B98zzBmWeG1MXnyZNUlb7/9dpafwUpvynIosimwrIehsUpOn3aUbKja4oknnti7d68e/7WvfS1Zr5ryxBNPvO+++7Q8derUAQMG/OhHPzJNP/nJT9SDhrSxsfH11183bya2uGdIy0cnSfIBpgsvvDBZr1JD1Yk6VLmjU5YZnWtsk8e4RsYVoHWPrgdnE4LrDMqnP/3p//qv/1Jr+hFedNFFjzzySObpAw4CCiwUiI0bN1511VV6ET/iiCOOOeaYr3zlKy+++GLS+tprr33xi188upVer1esWJE0HZbBrH/++efVSXFxce/evQcPHvzd735XV9uuvVt7yOx5586dbTbcvXt3m2rPfEdM+/3nf/7n9K+5mYU9e/bceOON5ltUWkjeLlExl0qlrKWAaxNPfZPo06fPmDFj2rzBmskz+J5h7FyBpULt3/7t31SLqE/Vyv7N23SV5VBkU2BZD8N8901rdAbTv0U4d+7cU0899WMf+5gKbpVTyfpXX31VI1ZbW6vlrVu3ajmZmQcOHNAjTzvttF69eg0dOnT27NnJwVhnSMtHJ8k//dM/mcO48847tV+zfsaMGToMnYgzzjhj4cKFmdG5xrbdAssVoHWPrgdnE4LrDEplZWWPHj2effbZZI2urPhFo+hGFFhAN/vhD3/4pS99ySz7awugo3Rpobq2u48iJ50OQU8r/lQOuhGv5sAhhAILQUyYMGHLli0bNmw499xz/+Vf/qW7D6czCiAERI5Xc+AQcigXWJnveHbp0R7k3RWYn/zkJwMGDDjuuOOuueaa9N8DkkcKIAREjhcsAACAwCiwAAAAAqPAAgAACCy/C6z58+ePGjWqd+/e/fv3v/rqq+vr68365ubmSZMmpVKp4uLi8vLy5Fc5u9YDAAAElN8F1vnnnz9v3rydO3du3br12muvTf4Ex/Tp04cPH76ulRaSv+LuWg8AABBQfhdY6RoaGo4++mizXFJSkvzdKy0kf/LdtR4AACCgwimwZs+effbZZ5vloqKiuro6s1xbW5tKpfzrO8r6BXIAANCu3LJ93iiQOJcvXz548ODk74306NGjqanJLGsh+WvtrvVWzA8AAMKKJ4EWQpyLFi0aOHDgSy+9lKw5CHewcjheAAAiFU8Czfs4Z86cecIJJ7zyyivpK7v6M1jxzA8AAAKKJ4Hmd5z33nvvwIEDV61a1Wb9tGnTrN8WdK1v6eApj2d+AADy1Kuvvvqd73ynb9++XfyRqr9IpVKf/exn//u//9t/VPEk0PyOM/ME79y5s6X1911NnDgx1aqsrCz992BZ17dQYAEACstpp512zz33bN++/eDsTjuaPXv2Zz7zmeeee87zsHgSaCxxhhXP/AAA5Cmlqn379h3knb711luDBg3yPCCeBBpLnLlrc6usuw8HAACf7kpV/v3Gk0BjiTOseOYHACBPUWB1r1jiDCue+QEAyFMUWN0rljjDimd+AADyFAVW94olzrDimR8AgDyVe6pKPnZ8+OGH9+vXb+zYsTU1NTnuN54EGkucYcUzPwAAeSpIgWUWDhw4sGnTpltuuWXEiBE57jeeBBpLnLnjW4QAgDziSVX1y5btqK7uaA87duw48sgjtXDdddc9+OCDyfqf//znWpPNftttLSSxxBlWPPMDAJCnXKlq88KFT595pv61W2Ol38HasmVLWVnZyJEj9WNjY+MXvvCFRx99tKX1D9Zpuampqd39ZtNaSGKJM6x45gcAIE+5UlXNnDmmwKp7+eV2e0hXXFy8cuVK0/Tee+8NHjy4vLxc/2s5m/1m01pIYokzrHjmBwAgT7lSVfP+/aqxNi9c2KEeamtrKyoqRo0alaz5wQ9+oAfcc889We43m9ZCEkucYcUzPwAAeSrgh9yNhoYG8xksWbFixYABAx5//PETTzzxrbfeyn6/8STQWOIMK575AQDIU2ELrPr6+ltvvfWss87S8q5du4YOHbp48WItP/XUU2ecccaHH36Y5X7jSaCxxJk7vkUIAMgjAX8PlvTp02fMmDFr167V+m9961sPPPBA8rApU6ZceeWVWe43ngQaS5xhxTM/AAB5it/k3r1iiTOseOYHACBPUWB1r1jiDCue+QEAyFMUWN0rljjDimd+AADyFAVW94olzrDimR8AgDxFgdW9Yokzd3yLEACQRyiwulcscYYVz/wAAOQpCqzulfdxWm8pue42NTc3T5o0KZVKFRcXl5eX68dO7zSngwYAoItRYHWvAokzs8CyPmz69OnDhw9f10oLlZWVQXYHAMChJuAvGj388MP79es3duzYmpqaHPcbTwItkDizLLBKSkrmzZtnlrVQWloaZHcAABxqAv6pnAMHDmzatOmWW24ZMWJEjvuNJ4EWSJyZBVbfvn2POuqo008/ferUqfv37zfri4qK6urqzHJtbW0qlQqyOwAADjWeVFVfv2zHjuqO9rBjxw7zx54///nPz5gxI1m/cePG/v37q7Xd/bbbWkgKJE7rCdu7d+/SpUtLS0snTJhg1vTo0aOpqcksa6Fnz57+Pj2ChwAAQECuVLV588Knnz5T/9qtsdLvYG3ZsqWsrGzkyJH68ZlnnvnUpz6llab16quvvvvuu9vdbzathaRA4vScMFXWyZ0q7mABACLhSlU1NXNMgVVX93K7PaQrLi5euXKlafr7v//7Rx55RAtr1qwZMGDA7t27291vNq2FpEDi9Jywmpqafv36mWU+gwUAiIQrVTU371eNtXnzwg71UFtbW1FRMWrUKPPj7NmzTz311P37948bN+6+++7LZr/ZtBaSAomzzQkbO3ZsVVVVY2NjdXX1eeedd+ONN5r106ZNc32LsEOnPJ75AQDIUwE/5G40NDSYz2C1tP7ao6FDh06cOHHQoEHKttnvN54EmvdxWj8aNWvWrGHDhvXq1WvIkCGquPfs2WPWa0JoNqRalZWVpf8eLAosAEAhCVtg1dfX33rrrWeddVayZubMmXrA//zP/3Rov/Ek0FjiDCue+QEAyFMBfw+W9OnTZ8yYMWvXrk1aH3vssVNOOWXfvn0d2m88CTSWOHPHtwgBAHmkq1PVl7/85V//+tcd3W88CTSWOMOKZ34AAPJU16WqAwcO/OxnPxs6dGjymxqy3288CTSWOMOKZ34AAPJU16Uq9Txo0KClS5d2Yr/xJNBY4gwrnvkBAMhT3ZWqKLCMWOIMK575AQDIUxRY3SuWOMOKZ34AAPIUBVb3iiXOsOKZHwCAPEWB1b1iiTN3/JoGAEAeocDqXrHEGVY88wMAkKcC/qLRww8/vF+/fmPHjq2pqclxv/Ek0FjiDCue+QEAyFMB/1TOgQMHNm3adMstt4wYMSLH/caTQGOJM6x45gcAIE95UtWy+mXVO6o72sOOHTuSP/bs+dgMBZYRS5xhxTM/AAB5ypWqFm5eeObTZ+pfuzVW+h2sLVu2lJWVjRw5ss1jHnjggYsvvjib/WbTWkhiiTOseOYHACBPuVLVnJo5psB6ue7ldntIV1xcvHLlyvQH/Pa3vx32mWENDQ3W/e5v3r9k65L1O9dnc1SFJ5Y4c8e3CAHgIFBW9rTW7633tG7evbmhqcHVurZh7eIti139a9uZ62bqf2vr9sbt09+cvnDzQlfnv3r7V3rAh/s+tLZqw4plFa47RipBJr82ef67862tiuju1+/WP1fnlasrr3vxuqr3q9qsN6lKnf9mw29WvL8iWa8RUI1lYnm/8X21atfWYVEPT2x84uG1D2/avam2traiomLUqFFJ6xtvvHHi4BPvXnT3oi2LMvcr2lBl3Ii5IzR6ma0FL5Y4w4pnfgCRc6U0o/FAo/55Wmt2Ob9ypdY/1v7RVQ1ov0rYCzYtcG2uXF7+Srmr/8c3PD5+8XglUWvr6g9WX7XkKiVs14Hd/PLNeoCr1NCuL3n+EtexLdm65OLfXuzqXH2O+904/XPVSTf96aaR80e6OteulbAnLp1obVXxZNL51j1bM1u1x5I5JXqABta6uY5KrVf8/gpr65SVU8xdH+uYv1z3smlViWbdXEGp9ZoXrrG26lSqVYdnnQ9PbnzSdG49oQrWtKqTNk0mValCUgX20FsPNbc0Z26+rH6ZWvXvnV3vZLaqB9P6wtYX9GNDQ0PyGaytW7eeeuqpt8+6Xa2Prn80c79y/6r7TVzpZySeBBpLnGHFMz8QnCcfiy5w0y/12lA+VuJxXX8ra+p60ZpaWlovgvUyrSt4V+e6/M28Ak7oIli7dh28UpeSVps3AhKqFXRg2rurc1UDyl6ujKv9Ki25Mu6KbSuUFyuWVbh2rSt7PcB1bKoDzn3mXNexKZ8pWyvlW1s1mBc8e8HoBaOtGVen6asLv+pJ5zpmterYrK3aymRN60nRuTatGjfr5joqtarQsbZOfm2y2Vz9ZLaaMkX/HlzzoHVzU6a4ChFVP2Zza63w2PrHTKt1zJNawVVCaadqVbFifRaY+yWud75U25lWFQSezl01kDkj2rU1LnVuhkVPUuvm6latKjisrRpqtV626DJrXJppmqX655rG6lwTNbP8Mqnqje1vqLpyHdj7je/rpDz1zlOuO1iqmNWq16X6+vpbb731rLPOMk1a+MUvfrH5w82LtizS/5n7bWl9AurZ3eZ0xJNAY4kzrENqfnjuh4vnAtq0eu6368VOFzeuVj1z9ELsur5XJlZGtL58G3rS6uXAVSsoqehF0HUBrfXKK+rBtWtzyeWqBvRqopdvV6mhbnXtrhcFa6tGTK9lulK0dq5wdOmvi3tXpTK1eqpehV0vsrr29byCq09PZmr5v5yqA7C2qpJQq16jrUeuF1/TufWM6yyb6+8fV/3Y2rlKEJPO/WlPxVBmq3KGaXUNi7pVq0bV2pplraBjsG5ukqLOuLXVXytoknjuKyT3S1zFnyo/teqsWQdt/rvzPfdLdBI1IMqpCtDauQZTra4KSQlPM0Ez2bprBatSQ/27niN69qmydM1DHZJOmc6LtVXDotHWrl2vPDpytVqnSktrPa0Z7qq2VQToKeaqaFtaA9dZc71qaXMNu+cKx3/9o4j8r7euFzRD23reG9Ux+6/NrEEF/D1Y0qdPnzFjxqxduzaziW8RWsUSZ1jp80OTXqlLGdd150BZUy8orqsHpXNd5npup+tlTg9wda7XQb2Iu17pzD1tvY5bW/230/U6oiY9QOWIdXMF5elc9Y25M2x9GU1qBVcdo5dvtbruHJhLfx2e/3a69VVYx2NaXWnPXMWqc+uLnXmHwnWdqtdf0+oqREwN5KoV/O9BJJ273vdRt564/AVW8q0ia8LWOJvJ4JqophDR9be1VSfCTAZrglHnOipPXGZYXOWXKkKlcyVd6/lS1lG29tzBUgmiVleZonSuzV1lio5co33b8ttcFzmaineuuNO1a51lTSfP17j0NPEkbMXrv7jy83/OCYWB3+TevWKJM6z0+aEKKZvb6a5LZCUGs7n1wii5RPbfTs98690wNZCyl7U1eQ/CetNCr+ymVTnAurmyqVrHLx5vbTWFiKvASt7gcF2JmvdWlLo8nauesCYJpSXtV/9cqUvHrFZXbffw2ofVqrxobdWRq0hSSrZeL+p4VGqo1XUHS9fHOime62+VEZ6P3ahbzTdXatRQq1BwXeb63yI0H3r1v/+ozT0fGNK2nruhOheuiwRzbK4qxPBfuwOwosDqXrHEmTvX7VAlFV1Aq4hx5VRVCbr6d33ysd3b6Tf96Sb9c92XVrcq0VzvxOmQdIXtujpXVlOl4rpB1dJ6V6NydaUrpyojqqZ05UVlROVjz2d6lHFdd/XMsanVc5Gtnj2fPlYu93/VyHOfv4V0DqAgUGB1r1jiDKvN/FAd4E/JJGwAwEFGgdW98j5O6yfsmpubJ02alEqliouLy8vL9aN/fSd2mutxAwDQlbolVdXV1X3iE5/wPCCeBFogcbY5YdOnTx8+fPi6VlqorKz0r89xdwAAHGpU6Kxateog73TChAn/8A//4HlAPAm0QOJsc8JKSkrmzZtnlrVQWlrqX5/j7gAAONR8+9vfHj9+/M6dOw/O7rZv33777bf37du3qsr56duWmBJogcTZ5oQVFRXV1dWZ5dra2lQq5V+f4+4AADjUKN+dffbZhx0sRxxxxIgRI1599VX/UcWTQAskzjYnrEePHk1NTWZZCz179vSvd/Xp0QVBAABQ4OJJoAUS52HcwQIA4JAXTwItkDgP4zNYAAAc8uJJoAUSZ5sTNm3aNOu3BV3rM3vo0O4AAEA24kmgeR+n9aNRzc3NEydOTLUqKytL/z1Y1vUtFFgAAHS9eBJoLHGGFc/8AAAgoHgSaCxx5o5vEQIAkKN4EmgscYYVz/wAACCgeBJoLHGGFc/8AAAgoHgSaCxxhhXP/AAAIKB4EmgscYYVz/wAACCgeBJoLHGGFc/8AAAgoHgSaCxx5o5vEQIAkKN4EmgscYYVz/wAACCgeBJoLHGGFc/8AAAgoHgSaCxxhhXP/AAAIKB4EmgscYYVz/wAACCgeBJoLHGGFc/8AAAgoHgSaCxx5o5vEQIAkKN4EmgscYYVz/wAACCgeBJoLHGGFc/8AAAgoHgSaCxxhhXP/AAAIKB4EmgscYYVz/wAACCgeBJoN8RZAINbACEAAHDwxZNAKbCyxbcIAQDIUTwJlAKrMwogBAAADr54Emj3FFguXbSLZH1zc/OkSZNSqVRxcXF5ebl+7HT/gY4UAICIxJNAC/MOlmsX06dPHz58+LpWWqisrAzbPwAA8IgngcZVYJWUlMybN88sa6G0tDRs/wAAwCOeBFqwBVbfvn2POuqo008/ferUqfv37zfri4qK6urqzHJtbW0qlep0/2EOFACAmMSTQAs5zr179y5durS0tHTChAlmTY8ePZqamsyyFnr27OnZ3PNZsXjmBwAAAcWTQLstzqqqKpU+Rx55ZFdXLRs3bkzuVHEHCwCAbhRPAu22OM8666w77rhj9+7dXb2jmpqafv36meUu+gzWjh3VtbV/dD24sXH71q1LDhxotLY2N++vq3tZj3Ft3tCwVv9crU1NDe+/X+U51F27ajyt+/Z9qAPwPMDfCgBAh1BgdbnevXvv2rWrizofO3ZsVVVVY2NjdXX1eeedd+ONN5r106ZNc32LsEOnPP3BH3yw+umnz9S/d9+db33wwoVfVeuyZRXW1urqqWpdsGC0tZSpr19mOrdWUSratKFa33xzurXzlSunqPXFF6+ztm7btuKZZ8797W8vVpWW2arjWbLkqmefvUDHYN183bqZzz9/yfr1j1lbVdgp5DVrHrS2ytq1Dyt2VXjW1p0716vnvXvrra06ti1bFrtazd53797satXmnlYAQNehwOpyJ598slJoF3U+a9asYcOG9erVa8iQIRUVFXv27DHrm5ubJ06cmGpVVlaW/nuwOl1gqfQxNdCGDY9bH6waRa1/+tNN1tbly29T69y5I6ylxqZNC0znmzcvzGxtbNw+Z06JWtWJtXNVSGpVFWWt3lavrjSdW2+/7dhRbVqrqn7siUv1mbX19dfvNpurVMps1R5N69tv/8q6uSkcX375ZmurDkmtOgDrfUEVjp6qVENhSl4ViNbON258Untftep+a6tKNxWsr7xS7rolqQ2XLp3ounGoY3vttcn639qqE6pa2XquDTVpmrluK2qnanXdDdVWGnZPVaoZ6Kp3ASAUCqwu99Of/vTSSy/dsmVLdx1ALtrMj61bl9TUzHGlPVUqa9Y86LplooSnnOq6S6Q+169/zJNTtWttvmfPVmurKoxlyyq2bFlsbdUhqYJRJeTqXHWbSrQPPlhtbV279mGVbq4yRaWAij+VMtZCRLtWTakHuN5aVd2mGkh1jLV1xYo71Tp//khrQaBzYQoslaeZrRpwU5W67ikuXjzelLzWYdFoe6rS5HbmypVTPHEtWnSZtdXcztQ/a32WFI6uu4amc5V31lZ/VdrQsFbjqRNqLYhF50LbuuaSpqi2dUWtPn//+ys02VxVqUZVp8NVlWqSK6i6upetrTqhCk1lsbXVHJvqeFftqKmoba03cQ09iTx1pzb0bAsgEwVW1+84376al0eHeohQ4vF8hKuxcbvnfTqVjO++O9+V2LStyjvXh8+UxZVQ9c+1d2Vc1Y6uT7apPlOl4nrXVSXUggWjf/e7cdZj065VU6o4U01g3VxFhqcG0jGbwtGas3XAnsKxpb2q1H+vVEWG6VzhZ7bqdJhW15FnWZVahyXLqvT55y+xtprC0XWvNHmT3V+VugbNHLl2bY1LR66Qdb5cc0nDpbrTdUtSM1yzxfU2ugpHXUio5nZNY0Wk2F23JBW4NnfdK9UE02TzfHJUZ9zz0c+W1sLU08pnN+ERTwKNJc6w4pkf6CilFv8tDdcdQWPHjmrPu3jKea6bnS2tOU/lkWvv/qpUW73++t365ypqlcsXLbrMtXfVEGpV/9ZWhawa5fe/v8JVlapVlYrr9pgpDVUuWFtNafjssxdYO1fV5XmTvaW9237LllWYwtE6qv6qVOfRtLqqN39VmryDb711l1TbqsA8camAs7Ym90qtddKuXTXmLq/rOuGFF65Rq+ttdBWOKjpdQ6ph0WWG/rkmqgJ/8cXrXBNVc0mz1HU7U3NAk9B6OgzVlOvWzfRcuengPV850lF5np46j/432V13cGMTTwKNJc6w4pkfwEGgzOTJai2tN1Q8raqiPIlNNYTKVlerignVSa69a9uVK6e46gztVHWnHuBKnKpjVEW5biNt2PD4ggWjXRWSagjVXiocrRld1Yn5EKTruzXmXqmrtlMVYmo7a+DatSm/XB8A0IZqVZnl2bX+WTtX1KbV+q5uu1Wp/3Ol5h6w6/OXOtem1XV/WtcAnrj8N5h15DqbanWVhrpO0Li5hlRXF6qJX3ttsrVVe1Strx5cVan/syI6ERp2z01HPUE8rZre/huWHS0c40mgscQZVjzzA0B3UTb1pC6Vd/5fwuK/V6oqylO2rl//2Jo1D7rK1s2bFyrfuyqJ+vplKoNcRYyOWZXE889f4srZL754nQoRV+Fovj2j/q2t5ltBc+aUWDtPPn/p+m7N7343Tq0qs6yt/tt+KnFMq+s9X7Nr15FnWZVab85pE1Pyuu7yms5d73T7B01zwJTyrk8maFi0d9ftTF1dLFz41Ta3M+NJoLHEGVY88wMAwlKa939Iy/9GmwpHz+b+mzFqcr29aFrXrZvp2tz/JV8dUlXVj1V3uu6GqmdVV667oVqvQkTlo7V15871qnIWLBhtLalVhZsayFXUJgWWtdV/26/dN6PNN75dXyd/7bXJZvP0cj+eBBpLnGHFMz8AAN1OVZTndmZTU4Pn05mq+TZufNJVOLb7wTWVhqqTXPc7teHixeNd97e2bVuh2qvNL9yJJ4HGEmfu+BYhAAA5iieBxhJnWOnzo3n//lX33//63Xc3brffGd5RXb26snL3ZvvVw4HGxk0LFrha5f2qKvXgatVO65c5L1zM5tqFq3VXTY3rsE3nH6x2foxD3WrXCt/1gIa1a5sanN+n21tfv9P9m2bVrTZ3tYoOzBOXxtMzpPs+/NATV0vrKfN37olLR+4ZUvFsazb3tObI33mX7hoADAos+KTPj61Lljx95pn6t/Zh+3fUn73gArX+6Sb7b3JXZabWZ84915rRa//4R9O5tYrSJqZzVXjWzlfceadal1xl/1jllsWL1Tp3xIg9Wy33flUlzB85Ug/Y8Lj9N9T/8YYbPHFpKxOXtZ5QYTenpEQP0OhZN188frxaq35s/yXyKljVuvCrX7XWBKop1ar+rYWpNvntxRfrAWsetH8W9bXJkz2DpgNWzxo0FYiZrTojz19yiVo1ttbNzel2xVX38ss6oS9ed501LtWFOqpFl13mKkzVrQZ845P2X7mpOl4n9JVy+5ezdEZ05PpnnQyy/LbbNG6u86WJqsN27VpzScfmGnCpmTNHc9hVmKqiXTdzpuvANCxq1dC5OtdU1HNTD7O2ara8OX26qxzXIWlbPcbaqtOkAVHsrl1rVDXsrmJdh7R54UJPOa5nvecyw3/909I6bp5WTWBPSa1W/+btdu5vzeUixHUqjRyvEzxXVtl07t88F+3u2j8s/gNT68G8+qLAgk/6/NDrvrKacqrrJV51gHKq8pO11dRAynzWp4def02BZU3YepHSftWqTqydv3DNNWpVzrY+PZQ5PNWbsrhpdVVvJi7le2vryilTzObKMZmtGivTqtRo3VxDqlYdv7V1WUWFKQ2tL8TK1qZz5bbMVg2aqe1cZ8Q/aKoSTOfW062EZ1oVvrXzBaNHq1V1jLXV1Hb6Z02cpiD2lIYmrt9fcYW19eWbbzabW3ObKYj1z1okaZKb1qUT7b/cSDs1Z8Q/aJ2bab8bN84TV/XUqaaetqZ87dF0vv4x+y8a9V//aJKYuKxPz+TiylpjaRMzjV2TQcWu5xmUTGNrPa2Zb65/XEWteY64XhnenT9fI6aK2Zp3NZLmhcVVO6qY9pwvDbXnfOmyR53rn6t21IY6NldcurhSq+vJq871FNOEsb4yaHLqyPWAbSvsvzhDc0kH5opLT3mdUL0+WCe5nlZ6Xms6ud5w8F//6KVeB+aKq93rH1166chdneulXoPmmgwaDR2YOncNmjpXXK63St7+1a905K5Xcr2UaXNdWKavpMCCT5v5oRcpzwWZZq1eiF0XEGpVbnNdiWpy63VWr4auCwi9Aur623W9qJdmvbi7nhjatV5K9PRwHbn2q849b32qc9erpA5JnasHV+d6FdZrpeuqSyOmasPVuV5u9IzVS5K1VUOtFxTF5RpzVSo6ctdLlQZNL4WuQdNoaFvX3UrRiCm3WcvKltaX0T/ecIPr/paGNPPFKKGx0raLx4933cHSeCpbu4ZF6UHbupKHzpeKDBVhrtOt06GXYNdVhD/taZaqVQWBdaK2WyuY6s11T9FcJyi7WI88qd5cw6IR8xQimgmm2rbOJX+BpbhMmeI6oRpwtarKsT67lbFM59aE3W5Vam7Tukp5cydV/6xPseTGuStrmrhc1z+qwk3Jaz0jOsumc+uLQ1LKu261+kt5Pfs8Z0QjaVpdt5DN9Y+Gztrqv/5JJoP/+sc1jYNc/3Ru0MwbAjkOWocuGimw4BPP/ACy5H+HQjnA8wD/u11qVTJ2VX7KGUoMnnes1OT5FKPKIFWNrgsY07nrAsa8Reh627Sl9fJdFxKuN7w0JroMcF1FqKRTWnXVhS3tva+qo1Kh47pO0JioGvZcXKlJxYrrlOmolMtd75wqau3a9dECxaXD1j/X9Y+qOlUbrvmg06HCzlWL68Lmxeuu0xWOq3M16TLD1bmmmWoR653vlvauf7RHda6i2XXlpsLLc/2juNTqutmpGagx8Vz/6DJDu3bNc00GHbnrjGgyqGfF5XoWaKpoc9eg6XypJHXV4tbbfvEk0FjizB3fIgQAoEMy67Z4EmgscYYVz/wAACCgeBJoLHGGFc/8AAAgoHgSaCxxhhXP/AAAIKB4EmgscYYVz/wAACCgeBJoLHGGFc/8AAAgoHgSaCxx5o5vEQIAkKN4EmgscYYVz/wAACCgeBJoLHEazc3NkyZNSqVSxcXF5eXl+rFz/cQzPwAACCieBBpLnMb06dOHDx++rpUWKisrO9dPPPMDAICA4kmgscRplJSUzJs3zyxrobS0tHP9xDM/AAAIKJ4EGkucRlFRUV1dnVmura1NpVKd6yee+QEAQEDxJNBY4jR69OjR1NRklrXQs2dPz4MP8zooxwsAQEGJJ4HGEqfBHSwAALpRPAk0ljgNPoMFAEA3iieBxhKnMW3aNNe3CDt0yuOZHwAABBRPAo0lTqO5uXnixImpVmVlZem/B4sCCwCArhZPAo0lzrDimR8AAAQUTwKNJc7c8S1CAAByFE8CjSXOsOKZHwAABBRPAo0lzrDimR8AAAQUTwKNJc6w4pkfAAAEFE8CjSXOsOKZHwAABBRPAo0lzrDimR8AAAQUTwKNJc7c8S1CAAByFE8CjSXOsOKZHwAABBRPAo0lzrDimR8AAAQUTwKNJc6w4pkfAAAEFE8CjSXOsOKZHwAABBRPAo0lzrDimR8AAAQUTwKNJc7c8S1CAAByFE8CjSXOsOKZHwAABBRPAo0lzrDimR8AAAQUTwKNJc6w4pkfAAAEFE8CjSXOsOKZHwAABBRPAo0lzrDimR8AAAQUTwKNJc6w4pkfAAAEFE8CjSXO3PFrGgAAyFE8CTSWOMOKZ34AABBQPAm0MON03W1qbm6eNGlSKpUqLi4uLy/Xj53uP9CRAgAQkXgSaGHG6Tp/06dPHz58+LpWWqisrAzbPwAA8IgngRZmnK7zV1JSMm/ePLOshdLS0rD9AwAAj3gSaGHGqfPXt2/fo4466vTTT586der+/fvN+qKiorq6OrNcW1ubSqU63X+YAwUAICbxJNBCjnPv3r1Lly4tLS2dMGGCWdOjR4+mpiazrIWePXt6Nj/Mq8uPHgCAghNPAi2QOD11z8aNG5M7VdzBAgCgG8WTQAs/zpqamn79+pllPoMFAEA3iieBFmacY8eOraqqamxsrK6uPu+882688Uazftq0aa5vEXbolMczPwAACCieBFqYcc6aNWvYsGG9evUaMmRIRUXFnj17zPrm5uaJEyemWpWVlaX/HiwKLAAAulo8CTSWOMOKZ34AABBQPAk0ljhzx7cIAQDIUTwJNJY4w4pnfgAAEFA8CTSWOMOKZ34AABBQPAk0ljjDimd+AAAQUDwJNJY4w4pnfgAAEFA8CTSWOMOKZ34AABBQPAk0ljhzx7cIAQDIUTwJNJY4w4pnfgAAEFA8CTSWOMOKZ34AABBQPAk0ljjDimd+AAAQUDwJNJY4w4pnfgAAEFA8CTSWOMOKZ34AABBQPAk0ljhzx7cIAQDIUTwJNJY4w4pnfgAAEFA8CTSWOMOKZ34AABBQPAk0ljjDimd+AAAQUDwJNJY4w4pnfgAAEFA8CTSWOMOKZ34AABBQPAk0ljhzx7cIAQDIUTwJNJY4w4pnfgAAEFA8CTTv47TeUmpubp40aVIqlSouLi4vL9eP/vWd2Gmuxw0AQHziSaAFEmebEzZ9+vThw4eva6WFyspK//ocdwcAALIRTwItkDjbnLCSkpJ58+aZZS2Ulpb61+e4OwAAkI14EmiBxNnmhBUVFdXV1Znl2traVCrlX5/j7gAAQDbiSaAFEmebE9ajR4+mpiazrIWePXv617v69OiCIAAAKHDxJNA8i9NV3xz8O1gAAKATOpd5806BxHnYwf0MVuYeD1ornR9qu87fzgs1ri7tvFDj6tLOCzWuLu28UOPK5gEFo0DibHPCpk2bZv22oGt9Zg8d3eNBa6XzQ23X+dt5ocbVpZ0Xalxd2nmhxtWlnRdqXNk8oGDkfZyHfZRZ2dzcPHHixFSrsrKy9N+DZV3fQoGV550Xalxd2nmhxtWlnRdqXF3aeaHG1aWdF2pc2TygYMQSZ3A8rw6pzgs1ri7tvFDj6tLOCzWuLu28UOPq0s4LNa5sHlAwYokzuHimSEAMWicwaJ3AoHUCg9YJDFonxDNoscQZXDxTJCAGrRMYtE5g0DqBQesEBq0T4hm0WOIMLp4pEhCD1gkMWicwaJ3AoHUCg9YJ8QxaLHEGF88UCYhB6wQGrRMYtE5g0DqBQeuEeAYtljiDi2eKBMSgdQKD1gkMWicwaJ3AoHVCPIMWS5wAAAAHDQUWAABAYBRYAAAAgVFgAQAABEaBBQAAEBgFFgAAQGAUWAAAAIFRYP3FYf8ns6muru6kk05y/eqO5ubmSZMmpVKp4uLi8vJy/ehfX0g6PWiubRk0z6DNnz9/1KhRvXv37t+//9VXX11fX2/WM2ieQZs7d+4XvvCFXr16adCuuOKK9957z6xn0PxPT+tjGDTPoB32Ucn6aAfNNSDpCj57UmB9hHUeXH/99T/84Q9dU2T69OnDhw9f10oLlZWV/vWFpxOD5tqWQfMM2vnnnz9v3rydO3du3br12muvveiii8x6Bs0zaOecc87jjz++ffv2hoaGO+64QxWqWc+gtfv0zHwMg+YZtI4miMKTWWC1u0nBZ08KrI/InBPV1dVDhgzZs2ePa/aUlJQo7ZllLZSWlvrXF55ODJprDYOWzaCJyoWjjz7aLDNoWQ6aatOjjjrKLDNo/kGzPoZB8wyaq56IdtD8b1+YhYLPnhRYH5E5J770pS898sgjmU3Jj0VFRXV1dWa5trY2lUr51xeeTgyaaw2DltlkfZ2aPXv22WefbZYZtMymzEfu2rXrrrvuSm77MWiZTek/Wh/DoGU2pRdYffv2VQV/+umnT506df/+/WZ9tIPmGpCWmLInBdZHtJkiCxYsOPPMM80bwK56vEePHk1NTWZZCz179vSvLzydGDTXtgxaZlOm5cuXDx48ePXq1eZHBi2zKXNDOe6449566y2zhkHLbGr3MQxaZlMbe/fuXbp0aWlp6YQJE8yaaAfNyByQdAWfPSmwPqLNFBk6dOgf/vAHa1Oi4GvwdnVi0FzbMmiZTW0sWrRo4MCBL730UrKGQctsyvTBBx/cdtttn//8582PDFpmU7uPYdAym6w2btxIIkiXPiDpCj57UmB9hP97ENYJVPDvIrerE4Pm2pZB8w/azJkzTzjhhFdeeSV9JYOWzUxraa2x+OBaNoPmegyDluVMq6mp6devn1mOdtDSpQ9IuoLPnhRYH+GZIplPObMwbdo06/cdXOsLTycGzbWGQctsSn689957Bw4cuGrVqjaPZ9Aym5Ifv/nNb1ZXVzc1Nb3zzjs33HBD8hksBi2zyVVsJcsMWmZT8uPYsWOrqqoaGxs1384777wbb7zRrI920FwD0hJT9qTA+otsruqsPzY3N0+cODHVqqysLP03eVjXF5JOD5prWwatxfsp2jZ27tzZwqD93wOsP86aNWvYsGEf//jHTzrppGuvvXbbtm1mPYPW0vECi0FraW+m9erVa8iQIRUVFXv27DHrox0014C0xJQ9KbAAAAACo8ACAAAIjAILAAAgMAosAACAwCiw/qyjf0bXtX779u3f+ta3+vTp07dv39tuu821O9fmbT4qWFRU1BWbAwCArkaB9Wcd/TO6rvXf/va3x44d+16ryy677MEHH7TuLpu/ZDllypTvfe97XbE5AADoahRYbWXzZ3Rd64855hiVaGZZNdaIESOsu2j3t6g1NjYOHjz43Xff7YrNAQBAV6PAaiubP6PrWq8CSz+aZVVarl/w3+7fAaisrLzyyitdR5jj5gAAoKtRYH1Eln9G17X+m9/85uWXX7611Te+8Y0jjjjCuhf/X7I8cODA3/zN31RXV7sOMsfNAQBAV6PA+v+y/zO6rvXbtm1TXVVcXNyvX7/Jkycff/zxZn2bX3HrvwU1c+bML3/5y+lrctwcAAAcZBRYf9GhP6ObzZ+ivP/++1VsWffl3/wzn/nMkiVLPIea4+YAAKCrUWD9WUf/jK5r/eWXX15TU7N9+/YZM2acdNJJb775pnV3nr9kOXfu3M997nP+o81xcwAA0NUosP6so39G17X+5z//+QknnHDUUUedf/75y5cvd+3O85csR4wYMXv2bP/R5rg5AADoahRYAAAAgVFgAQAABEaBBQAAEBgFFgAAQGAUWAAAAIFRYAEAAARGgQUAABAYBRYAAEBgFFgAAACBUWABAAAERoEFAAAQGAUWAABAYBRYAAAAgVFgAQAABEaBBQAAEBgFFgAAQGAUWAAAAIFRYAEAAARGgQUAABAYBRYAAEBgFFgAAACBUWABAAAERoEFAAAQGAUWAABAYBRYAAAAgVFgAQAABPb/AJ30QCoj5UxVAAAAAElFTkSuQmCC)
| VMR Tools created by Darren De Zeeuw. |