Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: tao_huang_082814_8 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | May 29, 2007 |
Start Time | | 2007/05/29 17:00 |
End Time | | 2007/05/29 22:00 |
Key Words | | 20070529 |
Model | | SWMF |
Model Version | | v20110131 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | 32.13 |
Dipole Tilt, in Y-Z GSE plane, deg | | 10.00 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 32 |
F10.7 | | 72.00000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | tao_huang_082814_8 |
Minimum Dst Value | | 8 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | YES, plot them |
|
View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for GOES-10 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUATW9uIEphbiAxNCAxNzoyNDozOCBFU1QgMjAxOYD2TWwAAAGqdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoidGFvX2h1YW5nXzA4MjgxNF85OiBTV01GIHBsb3Qgb2YgcmhvIGFsb25nIEdPRVMtMTAgdHJhamVjdG9yeS4iLCAKICAgICJ4YXhpcyI6IHsgImxhYmVsIjoiIiwgIm1pbiI6IjIwMDctMDctMjRUMTM6MDA6MDAuMDAwWiIsICJtYXgiOiIyMDA3LTA3LTI0VDIzOjAwOjAwLjAwMFoiLCAibGVmdCI6NzgsICJyaWdodCI6NzIyLCAidHlwZSI6ImxpbiIsICJ1bml0cyI6IlVUQyIgfSwKICAgICJ5YXhpcyI6IHsgImxhYmVsIjoicmhvIiwgIm1pbiI6MTAuNTkzNTQ5OTk5NSwgIm1heCI6MTcuMjQ3NDUwMDAwNSwgInRvcCI6NTIsICJib3R0b20iOjIzNSwgInR5cGUiOiJsaW4iLCAidW5pdHMiOiIiIH0KICB9CiBdffzZNvwAAAAEZ0FNQQAAr8g3BYrpAAAfkUlEQVR4nO3df3AU9fnAcQQsgdg0wZg0lARiGqsdQcZpGZRYIQLyU7E6FsoPQWppUUbaIoIJWNqK7YxB61iQ0nTaqWDEGU3bCXSYtvwBZYaBoVRqKCi/KpbwM0CwIQjk+0x2vjvX3du9u+ST3Ofueb/+YPY2u3uf5/Ns7nlu98J1awUAAIBR3ZI9AAAAgHRDgwUAAGAYDRYAAIBhNFgAAACG0WABAAAYRoMFAABgGA0WAACAYTRYAAAAhtFgAQAAGEaDBQAAYBgNFgAAgGE0WAAAAIbRYAEAABhGgwUAAGAYDRYAAIBhNFgAAACG0WABAAAYRoMFAABgGA0WAACAYTRYAAAAhtFgAQAAGEaDBQAAYBgNFgAAgGE0WAAAAIbRYAEAABhGgwUAAGAYDRYAAIBhNFgAAACG0WABAAAYRoMFAABgGA0WbNGtG2ejRp2R9+3bt5eWlsY8cmc8NacxAAevBbAFlUmnzsh7WVnZO++8k5Sn5jQ2iMlESuP0RXukfWW6du3aokWLsrOzc3JyFi9eLA+d9QcPHpw4cWJ2G1mQh876TZs2lZeXZ2RkFBQUzJkz5/Tp0+Hbt7bF6/A/+6lTpwoLC2NOSGNj48yZM/v27Zubm/v888/HDOrcuXMSS2lpae/evSWuBx988M9//vPJkyfz8vIuXbrkbjZ58mR3ubm5+aabbpJtZDBf/vKX3Xlwpui2225zB9ntf8UcjKszrjNlZWVFRmTwyEk5ZqTjx4/Pmzdv4MCB119/vSRx7NixdXV17k/37t07bty4G9rIwnvvvRc5sKg5inpWBD171PwG/bJ4duxo5HGz6pUEmnEioj1SsTIl5PXXX7/zzjsPtZGFtWvXOuvvuuuuioqKxjZLliyRh8760aNHb9y4samp6cSJE3Pnzp0wYUL49q6oUUsFXbFiRcwJmTVr1pQpUxraPProo7/+9a/Dt7///vufeOKJAwcOtLS0SM/01ltv3XvvvbJeauqGDRucbc6cOdO9e3fp8JyH69evl5864/zKV77yhz/8wT3au+++K2siG6zwZw/SGQ1WnLuk3Gl87NixAQMG/OAHP6ivr//vf/8rffwf//hHSavz0w8++EC64aqqquNtVq5cKQ9lZfjAgs6KEJ5DBf2yhOzSqax6JYFmnIhImP9N8P79+x9++OG+fftmZWU99NBDbnm+dOnS008/nd9GFsIvKsjRVq9eLfUjIyNj2LBh8l7cXe/ZLPxJg44jz/6d73xHtpfB/OxnPwt/FZZOSBomZ1kWhg8f7iz36dPnwoULzvL58+floX9f2SAzMzPO7f3DkNpZUlLS3Nwcs07ceOON0s85y9JjlZWVhRxW9O7d+9y5c/710ipNnDjRWZaCLfv+/ve/dx6OGTNGfuocUJowdx6EzO3bb78df4MlG8i05+XlSQqefPJJKeeeHaOeLeFXxRLdRdZI29G/f//rrruuNfRUiXnehpx+4QfpyPn5+OOPS5seNMPTpk3zXMhctmzZ9OnTPQPzCDorQngOFfTLErm9JyOeRMSczKtXr/74xz8eOHBgTk7O7NmzL1686Kz/9NNPly5dWlRUlJ2d/dJLL0V9rpBEuGO455573nzzTXfAR48eLSgoSHRaAA8aLLSH5xV28ODBf/3rX+UttbwkPfXUU9/61rec9fLaN2rUqI/ajBw5Ul7uw485efLkw4cPy6vn8uXL3ZfpoAYr6EmDjlNZWTlu3LiP20jfEN4QyAu9+yovb+vl5dtZfuSRRyQKecbGxkY5oDz071tbWztixIg4t/cPY/z48evWrYv6Iw9psGRszrJ0Wu4gg/aV8B999NFt27bJpEWuv3z5spQTp1dbvHixTM6iRYta266XfP7zn5efOgeUIldaWvq3v/1NHm7ZskWWZU1CDZacDMfayMIPf/hDz45BZ0vIkRPdRdY/+OCDcgK4D6OeKvGctyGnX8yxtfv8lDRJLxI0G9JAfPjhh5Fr5KFkMHxOgs6KEJ5DBf2yhOziSUTMyayqqrrvvvsOHTp09uxZaRm///3vO+t/8pOfyO+ahCnrFyxYEPW5QhLhjuFPf/rTbbfdJuez86M5c+b89Kc/jXM2gCA0WGiPkJp3/vx5eVPoLN98883vv/++syzv1EtKSsKPefz4cWf5k08+kTfWUZ8r6lNHPmnQcWQw+/btc5ZlVOENQffu3Z3GorWt/+jRo4ez7Nyjcd4fy4JbIVy7d+8uLi52q2DM7T3D2Lx589ChQ51PscRsWWbMmDFt2rQTbb75zW/27NkzfHuZJSk2d9xxR0ZGhszGwoUL3ffo8s7+5ZdflgV5K799+3an6q9YsULWR45zzZo1DzzwQGvbfaVf/vKXkYPs9r/8zy4r3ZPhn//8p3syuBsHnS0h85DoLrL+yJEjkQ+DTpX4z9tW3+kXc2ztPj8lxZFtkGe25Sxtbm6O3F42ds+Kbj7u4IPOiiCesQX9soTs4klEpKiTeeutt/7rX/9ylhsaGuRXyVn+4he/6F4CDHqukEREjuGrX/2q88bmwIEDMgBJTdThAfGjwUJ7eF7Cdu7cWV5enpOT47xwu6+w8pLtvuLLgjyM/5hBl0bch0FPGrS9PLt7dyDmDbigN+XyVnjJkiXuZ6rkYeReW7ZsKSoq2rFjh7smfHv/aAcNGrR169aoP/I7c+aM9FUyA/n5+S+88IJ7rSImaeCkxXnsscfcz4r9/e9/HzJkSEtLy+233y4P5d28zNWXvvQlWR85GFlZUFCwfv16+de9HxfnaGWDqCdDZILCN/BLdBdZH/kR7JBTJeZ5G/P0i3NsCZ2fkmL/FSx3y7y8vHZcwXL5z4qgdtnIFazIRMScTGlDI1tDaemc9ZGTHPRcIYmIHENtba2c8FeuXJk6deqrr77qDwFIFA0W2sP55IRL3hT+9re/lXovL0/yb8w38VGFFB733aS89XfXBz1p0HESuoIV9LESeaEP+kxVTU1Nv379du3aFXmckO2DRhvzUlBUv/jFL6TZinNjh/R8n/3sZ92H0mCtWbNmzpw5rW0fn3/ppZfuuOMO/zhffPHFnj17ujdQEmqw3JNBFuK/guU52SK14wpWPA/jOW9jnn5xji2h81O6n8WLFwcFJZ2B/zNY06ZNi/q8QTxnRVSeQ8X8DFarL4meI8ScTGl9Dh8+7D9saWmp/wqW57niTIQ0W/L25plnnhk4cKD7AUGgI2iw0B433XRTfX29+1DeJb/77rvy/vvgwYMPP/yw+8pVUVHhfvpB3qFWVlaGHDOo8Mjr9fLlyy9evHjo0KEHHnjAXR/0pEHHkcG4n3G5//77w+vN6tWrg/6KUKJwrkg999xzbi2pqqoqKipyC6QraPugqOP8kUNqp0ysHPnNN98sLCx076EE7Xvvvfe+9dZbDQ0Nly9flrjmzp0rE+L+9OWXX77xxht/97vfyfJvfvObG264wblpGD6YhBqsMWPGOJ/BkgX/56WCzhbPyRYpaJcONljxnLcxT784x5bQ+XnkyBFp4t2/Ijx79qzzRwnOT+UEyM3NXblypftXhPLQveIVNCfhZ0VUnkMF/bJE8iTRc4SYk/nKK6/IZMoRpPV57733vvGNbzjrX3jhhREjRshekZ/B8jxX/CeJvEeSlb/61a9CggXix6mD9pB+Ijs7233pqaurk7eY119/vTQZr776qru+ubl5/vz5zt/vyIL/Yn6koMIjbzqHDRuWkZExYMCAVatWxXzSoOPIs3/729/OycnJy8v70Y9+JDuGDEbezsp7Wef/r3r22WfdWwkHDhwYO3bs59pIHXLvyPivPDU1NYVs798l5oT4VVdXS7nt06fP6NGjd+/eHXPfv/zlLw899JDMgExmcXHxk08+eebMGfenJ0+elDmRIiTLhw8flmX3E/Qhg0mowXL+ilAG8N3vfjfyj7mchaCzxXOyRQrapYMNVjznbczTL86xJXp+Hj169PHHH5e89+zZUxpiSej27dvdn/7jH/+Q8y2zjXRpe/bsiXyiqKdc+Fnhn0D/EYJ+WSJ5kuiZhJiTefXqVVl/66239urVa9CgQbW1tc56aQrlfUv//v1l/NJQRn2u+E+St99+u7S09NNPP/WEHDQbQDhOHWgkdUhqSbJHoQuFKn6cn+LKlSsx/27DrEmTJq1fv74rnxHpjZc8KLJgwYLjx48fOXLkvvvu+973vpfs4ehCgxUT52eknTt3un8t2NmuXr26Zs2aQYMGuf9TA9BxvOShq/lvVXRZ6X3llVf69++fl5f3xBNPOB+cT+Jg4pcSg4wpFcfcxfznp2Y33HDDqlWruua55OQcOHCgtHRd83RQgpc8AAAAw2iwAAAADKPBAgAAMIwGCwAAwDAaLAAAAMNosAAAAAzT0mBF/UN3AADQxZLdEXQRNXGqySgAANbSU47TOU6dLTMAANbSU44tijNqJ+RpkrKystp9cBNjBAAA7aenHFsXZ8jUr1y5cuHChcYPCwAAuoaecmxdnEFT39LSUlxcfOzYsYQOxS1CAADsoaccWxdn0NSvXbt29uzZxg8LAAC6jJ5ybF2cUaf+6tWrt9xyS319fcx9+btQAACspaccWxdn1KmvqamZNGmS8cMCAICupKccWxdn1KkfMmTItm3bjB8WAAB0JT3l2Lo4/VNfV1d39913x7OlfwNuEQIAYA895diiOIP6obKystra2qjbJ3RwA0MEAAAdoKccq4lTTUYBALCWnnKcznFyixAAAKvoKcdq4lSTUQAArKWnHKuJU01GAQCwlp5ynM5xcosQAACr6CnHauJUk1EAAKylpxync5xcwQIAwCp6yrGaONVkFAAAa+kpx2riVJNRAACspaccp3Oc3CIEAMAqesqxmjjVZBQAAGvpKcdq4lSTUQAArKWnHKdznNwiBADAKnrKsZo41WQUAABr6SnHauJUk1EAAKylpxync5zcIgQAwCp6yrGaONVkFAAAa+kpx+kcJ1ewAACwip5yrCZONRkFAMBaesqxRXEGXWras2fPmDFjMjMz+/XrV11d3e6Dd3iAAACgQ/SUY+vi9Ez9/v37CwsL33jjjbNnzx49enTq1KkJHYpbhAAA2ENPObYuTs/US0f12muvGT8sAADoenrKsXVxeqY+Pz9/6dKlBQUFffv2nTlzZmNjo5HDAgCArqenHFsXp2fqe/ToMX369BNtpkyZMmvWrPB9Q3TywAEAQAx6yrF1cXqmPisr6+TJk86y9Fi5ublGDgsAALqennJsXZyeqS8rK5O+ylluaGigwQIAIHXpKcfWxemZ+urq6mnTprm3CGfPnh20ZdRDcYsQAAB76CnHFsUZ1A8tW7YsNzc3JydnxowZkR9yTyhJejIKAIC19JTjdI6TK1gAAFhFTzlWE6eajAIAYC095VhNnGoyCgCAtfSU43SOk1uEAABYRU85VhOnmowCAGAtPeVYTZxqMgoAgLX0lON0jpNbhAAAWEVPOVYTp5qMAgBgLT3lWE2cajIKAIC19JTjdI6TW4QAAFhFTzlWE6eajAIAYC095Tid4+QKFgAAVtFTjtXEqSajAABYS085VhOnmowCAGAtPeU4nePkFiEAAFbRU47VxKkmowAAWEtPOVYTp5qMAgBgLT3lOJ3j5BYhAABW0VOOLYozaidkqknSk1EAAKylpxxbF6e/weqMwwIAgK6npxxbF6fBBotbhAAAWEVPObYuTn+DlZub26dPn9tvv/3nP//5lStXjBwWAAB0PT3l2Lo4o079pUuXdu7cOXz48AULFoTvG6LThgwAAOKipxxbF2fI1B89ejQ7O9v4YQEAQNfQU46tizNk6j/66KP8/HzjhwUAAF1DTzm2Lk7P1E+ZMmXv3r0tLS319fWjRo2aP39+0JZRD8UtQgAA7KGnHFsUZ9R+aMOGDYMHD+7Vq1dJSUlFRUVzc3Pk9gkd3PBwAQBAgvSUYzVxqskoAADW0lOO0zlObhECAGAVPeVYTZxqMgoAgLX0lGM1carJKAAA1tJTjtM5Tm4RAgBgFT3lWE2cajIKAIC19JTjdI6TK1gAAFhFTzlWE6eajAIAYC095VhNnGoyCgCAtfSU43SOk1uEAABYRU85VhOnmowCAGAtPeVYTZxqMgoAgLX0lON0jpNbhAAAWEVPOVYTp5qMAgBgLT3lWE2cajIKAIC19JTjdI6TW4QAAFhFTzk2H2dzc3NlZWVJSUlGRob8u2zZskuXLhl/lkTpySgAANbSU47Nxzl//vzy8vK9e/dKpyX/jhw58umnnzb+LPHgChYAAFbRU47Nx5mfn//RRx+5D2VZ1hh/lkTpySgAANbSU44tarBCLjWdOnWqsLCwI1nRk1EAAKylpxx3yi3CUaNGvf/++83NzfKvLCd0izDq1M+bN2/FihWJZoVbhAAAWEVPOe6UD7lXVFTcfPPNGRkZ8u/SpUsT+pC7f+rr6+tLSkrksFzBAgAgpekpx9bF6Z/68ePHr1u3LuqPOnJYAADQxfSUY+vi9Ez95s2bhw4deu3aNf+Pou4bohMHDQAA4qCnHJuPc+/evcOHD+/du3f7mhvPxoMGDdq6dWvUHyVET0YBALCWnnJsPs5hw4YtX778k08+ad/unqk3dSFKT0YBALCWnnJsPs6MjIyLFy+2e/eQqff3XjEPxS1CAADsoaccm49zwIABhw8fbseOMfuhRBusdm8MAAA6g55ybD7OVatWTZ48+fjx48aPnCiuYAEAYBU95dhMnOF/vmfDbNowBgAAlNNTjtXEqSajAABYS085Nh/nddddZ/yY7WPbVTQAAJTTU47Nx/mFL3zhP//5j/HDdpCejAIAYC095dh8nCtXrvz6179+5MgR579ft4SejAIAYC095dh8nPZ8yN2GMQAAAJeecqwmTjUZBQDAWnrKsZo41WQUAABr6SnH6RwntwgBALCKnnKsJk41GQUAwFp6ynE6x8kVLAAArKKnHKuJU01GAQCwlp5yrCZONRkFAMBaespxOsfJLUIAAKyipxyriVNNRgEAsJaecqwmTjUZBQDAWnrKcTrHyS1CAACsoqccWxRn1E6orq7ua1/7Wq9evQoKCh577LGGhoZ2H9zEGAEAQPvpKcfWxemZ+pEjR77zzjuNjY0XLlxYvnx5eXm5kcMCAICup6ccWxdnyNQ3NTX16dMnoUNxixAAAHvoKcfWxRk09RcvXnzxxRcnTJhg9rAAAKDL6CnH1sUZdeqdS1B5eXkffPBB+L4hOm3IAAAgLnrKsXVxBk39+fPnn3/++XvuucfsYQEAQJfRU46tizNk6qXHyszMNH5YAADQNfSUY+vi9Ez9jBkz6uvrL1++/O9///upp56K/AxWzCRxixAAAKvoKccWxRm1H9qwYcPgwYM/85nPFBYWzp0798yZM5HbJ3Rww8MFAAAJ0lOO1cSpJqMAAFhLTzlO5zi5RQgAgFX0lGM1carJKAAA1tJTjtXEqSajAABYS085Tuc4uUUIAIBV9JRjNXGqySgAANbSU47TOU6uYAEAYBU95VhNnGoyCgCAtfSUYzVxqskoAADW0lOO0zlObhECAGAVPeVYTZxqMgoAgLX0lGM1carJKAAA1tJTjtM5Tm4RAgBgFT3lWE2cajIKAIC19JRjNXGqySgAANbSU47TOU5uEQIAYBU95VhNnGoyCgCAtfSU43SOkytYAABYRU85VhOnmowCAGAtPeXYojijXmratGlTeXl5RkZGQUHBnDlzTp8+3e6DmxgjAABoPz3l2Lo4PVM/evTojRs3NjU1nThxYu7cuRMmTEjoUNwiBADAHnrKsXVxhkz9hQsXMjMzjR8WAAB0DT3l2Lo4Q6a+trZ2xIgRxg8LAAC6hp5ybF2cQVO/e/fu4uLi/fv3h+8bonPGCwAA4qWnHFsXZ9Sp37JlS1FR0Y4dO8weFgAAdCU95di6OP1TX1NT069fv127dpk9LAAA6GJ6yrF1cXqmvqqqqqioaN++fTG3jLoBtwgBALCHnnJsUZxR+yH/R6mamprcHyV0cPMjBgAAidBTjtM5Tq5gAQBgFT3lWE2cajIKAIC19JRjNXGqySgAANbSU47TOU5uEQIAYBU95VhNnGoyCgCAtfSUYzVxqskoAADW0lOO0zlObhECAGAVPeVYTZxqMgoAgLX0lGM1carJKAAA1tJTjtM5Tm4RAgBgFT3lWE2cajIKAIC19JTjdI6TK1gAAFhFTzlWE6eajAIAYC095VhNnGoyCgCAtfSU43SOk1uEAABYRU85VhOnmowCAGAtPeVYTZxqMgoAgLX0lON0jpNbhAAAWEVPObYozqBOyEiHpCejAABYS085ti7OoKmnwQIAINXpKcfWxWmwweIWIQAAVtFTjq2LkytYAACkKz3l2Lo4O9JgdQtleqQAACAxesqxdXFyBQsAgHSlpxxbFycNFgAA6UpPObYuzvgbrJhJ4hYhAABW0VOOLYozqB8KWZ/QwU2OFQAAJE5POVYTp5qMAgBgLT3lOJ3j5BYhAABW0VOO1cSpJqMAAFhLTzlWE6eajAIAYC095Tid4+QWIQAAVtFTjtXEqSajAABYS085Tuc4uYIFAIBV9JRjNXECAAALJLsj6CJa4mxN/a6Z8SddqoeQ6uNvTf0QGH/SpXoIqT7+1rQIIU5a4mxN/aQy/qRL9RBSffytqR8C40+6VA8h1cffmhYhxElLnK2pn1TGn3SpHkKqj7819UNg/EmX6iGk+vhb0yKEOGmJszX1k8r4ky7VQ0j18bemfgiMP+lSPYRUH39rWoQQJy1xpgE9J6W1SEHSkYLkYv6TjhSkEFKVMvi9SjpSkHSkILmY/6QjBSmEVKUMfq+SjhQkHSlILuY/6UhBCiFVKYPfq6QjBUlHCpKL+U86UpBCSFXK4Pcq6UhB0pGC5GL+k44UpBBSBQAAYBgNFgAAgGE0WAAAAIbRYAEAABhGgwUAAGAYDRYAAIBhNFgAAACG0WAlTbf/5//RqVOnCgsLg/6/k2vXri1atCg7OzsnJ2fx4sXyMHw9ggSlYM+ePWPGjMnMzOzXr191dbV/R1JgStQUHDx4cOLEidltZEEe+nckBR23adOm8vLyjIyMgoKCOXPmnD592lkfzxwy/0YEpSBofSRSYD8arCSL2kXNmzdvxYoVQQ3W66+/fueddx5qIwtr164NX49wnnnev3+/dLdvvPHG2bNnjx49OnXqVP8upMAsTwruuuuuioqKxjZLliyRh/5dSEHHjR49euPGjU1NTSdOnJg7d+6ECROc9fHMIfNvRFAKgtZHIgX2o8FKMn8XVV9fX1JS0tzc7PmR+1DqjfzuOcuyMHz48PD1COeZZ+moXnvttfAtSYFZnhT06dPnwoULzvL58+floX9LUmCWTHhmZqazHDKHzH/niUxByHpSkEJosJLM32CNHz9+3bp1/h+5D7Oysk6dOuUsnzx5Mjs7O3w9wnnmOT8/f+nSpQUFBX379p05c2ZjY6N/S1JglicFjzzyyLJly86dOyeTX1lZKQ/9W5ICs2pra0eMGOEsh8wh8995IlMQsp4UpBAarCTzlJbNmzcPHTrUuWsedIuwe/fuly9fdpZloUePHuHrEc4zzzJv06dPP9FmypQps2bN8u9CCszypODYsWMDBgxwPpslCx9//LF/F1Jg0O7du4uLi/fv3+88jGcOmX+zPCmIub6VFKQCGqwk85SWQYMGbd26NeqPXLxxMcszzzKNMnvOsvRYubm5/l1IgVmeFIwaNWrJkiXuZ7DkoX8XUmDKli1bioqKduzY4a6JZw6Zf4P8KQhf7yAF9qPBSjL/fUAP/y7cejfLM8llZWXSVznLDQ0NURssUmCWJwW9e/cO+gyWixQYUVNT069fv127dkWujGcOmX9ToqYgZL2LFNiPBivJgi5T+X/kPly9enXUPxIJWo9wnnmurq6eNm2ae4tw9uzZ/i1JgVn+vyKsrKx0rmA999xzUT9kTQo6rqqqqqioaN++fZ71IXPI/JsVlIKg9a2kIKXQYCVNzCtVQQ3WtWvXnnnmGed/CXr22Wcj//uTqOsRJCgFy5Yty83NzcnJmTFjRtQPuZMCU6Km4MCBA2PHjv1cm3Hjxn344YeR2zsLpKDj/NfLm5qaWkPnkPk3KygFQetbSUFKocECAAAwjAYLAADAMBosAAAAw2iwAAAADKPBSo5Ev2Y1aL3ng5BZWVlRn66Du4d/82j4V1MDAKAQRTE5Ev2a1Xi+v3PlypULFy6M+nQd3D38m0fDv5oaAACFKIrJF8/XrMb8v+NaWlqKi4uPHTsW9Sk6uHvQaFuDv5oaAADNKIrJF8/XrMb89oO1a9dG/peYHh3cPWi0rcFfTQ0AgGYUxSSL82tWw7+/8+rVq7fcckt9fX3Qs3Rw96DRxvPV1AAAKERRTKb4v2Y1/BJUTU3NpEmTItd4/mvsDu4eNNp4vpoaAACFKIpJk9DXrIZ/iGrIkCHbtm0Lea4O7h40Wv/3OYQfBAAAJaiIyZHo16yGfH9nXV3d3XffHf50Hdw95JtHXXRXAAC4KIrJkejXrIZ8f2dZWVltbW3403Vw95BvHo3cJv7wAQBIbxRFAAAAw2iwAAAADKPBAgAAMIwGCwAAwDAaLAAAAMNosAAAAAyjwQIAADCMBgsAAMAwGiwAAADDaLAAAAAMo8ECAAAwjAYLAADAMBosAAAAw2iwAAAADKPBAgAAMIwGCwAAwDAaLAAAAMNosAAAAAyjwQIAADCMBgsAAMAwGiwAAADDaLAAAAAMo8ECAAAwjAYLAADAMBosAAAAw2iwAAAADPs/XXzNsk3wHSkAAAAASUVORK5CYII=)
| VMR Tools created by Darren De Zeeuw. |