Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit298-11-20020604_130100_20020604_174600-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
Cluster-1 | | | | - | Cluster-2 | | | | - | Cluster-3 | | | | - | Cluster-4 | | | | - | GOES-8 | | | | B plot | GOES-9 | | | | - | GOES-10 | | | | B plot | GOES-11 | | | | - | GOES-12 | | | | - | Geotail | | | | B plot | IMP-8 | | | | - | Polar | | | | - | Wind | | | | B plot |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/06/04 |
Start Time | | 2002/06/04 13:01 |
End Time | | 2002/06/04 17:44 |
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 | | -31.46 |
Dipole Tilt, in Y-Z GSE plane, deg | | -1.12 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 174.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit298-11-20020604_130100_20020604_174600-constBx0 |
Minimum Dst Value | | -31 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | NO |
|
View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for Cluster-2 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAVGh1IEZlYiAxNCAwMzowNzo0MCBFU1QgMjAxOSMgmFEAAAHOdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQyOTgtMTItMjAwMjA2MDRfMTc0NzAwXzIwMDIwNjA0XzIyMjkwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIENsdXN0ZXItMiB0cmFqZWN0b3J5LiIsIAogICAgInhheGlzIjogeyAibGFiZWwiOiIiLCAibWluIjoiMjAwMi0wNi0wNFQxNzo0NzowMC4wMDBaIiwgIm1heCI6IjIwMDItMDYtMDRUMjI6Mjc6MDAuMDAwWiIsICJsZWZ0Ijo3OCwgInJpZ2h0Ijo3MjIsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiVVRDIiB9LAogICAgInlheGlzIjogeyAibGFiZWwiOiJyaG8iLCAibWluIjowLjY1OTU0MDk5OTUsICJtYXgiOjMuOTE1MDc5MDAwNSwgInRvcCI6NTIsICJib3R0b20iOjIzNSwgInR5cGUiOiJsaW4iLCAidW5pdHMiOiIiIH0KICB9CiBdfeqk5ysAAAAEZ0FNQQAAr8g3BYrpAAAjmUlEQVR4nO3de3AV9dnAceQakpb3BFJiIgkgpZUO0MqoAw0gREAwXtA6NIhclNq0CiNtBYLhUvoWaDuFEUcBS7HjjMrFDjJaoONYaUdrZaAMLTXITS7RcgkQIGggQvI+k51353j2kj3JnsMv5/l+/mD2bPb2/J7dfZ5zsoe0qgcAAECoWl3rAwAAAEg1NFgAAAAho8ECAAAIGQ0WAABAyGiwAAAAQkaDBQAAEDIaLAAAgJDRYAEAAISMBgsAACBkNFgAAAAho8ECAAAIGQ0WAABAyGiwAAAAQkaDBQAAEDIaLAAAgJDRYAEAAISMBgsAACBkNFgAAAAho8ECAAAIGQ0WAABAyGiwAAAAQkaDBQAAEDIaLAAAgJDRYAEAAISMBgsAACBkNFgAAAAho8ECAAAIGQ0WAABAyGiwAAAAQkaDBQAAELLUbLBatUrNuAAgoRJx83z//fd79+7d6JYTsetrVQuoQajX1mBx0gOAj0TcJAcPHrxx48ZrsmsarBClZFAJlZrjFe9bpa1btxYWFqalpeXk5EydOvX06dPW/KqqqkmTJnXu3DkrK2vBggX28ocOHbr77rsjDWRCXvrsyBJkdzG8Fqurq5s1a5bsOjMzs7S0VF76z493O2L37t2jRo3KyMjIzc1ds2ZNo8uLysrKvLy8IFeg65i0+rJOnTr5b9xr+XgHR8/Iex1MvPO9LopQRj4RvM606667Ljs7u7i4uKKiwmf1Jhz/8ePHH3/88R49erRr107WGj169ObNm10PJmamTHzrW9+K3oVM9+nTJ3oB+0d79+594IEHJBHt27e/5ZZbXnvtNWv+uXPn5Dh79+7dsWNH2ft999339ttvN3rMzoNp8gJOcnleunSp+btugkT3BF5ZaNp+QznaIPUlma2S5rYsNSOP9x4xcuTILVu2VFdXnzx5sqSkpKioyJo/ZcoUuf+eaDBu3LgXX3zRmj9o0KCysrKqBnPmzJGXoewuhtdiq1atGjBgwMcNZGL16tX+8+Pdzr59+6Rgv/zyy2fPnj169Oj48eP9l7dIRVm8eHHwa8lnyWXLlj311FPBNx69fLyD4yolR97rYOKd73VRhDLyieBssKyJq1evfvrppz/72c8GDx7ss3q8x//JJ590795dNlteXv75559LeXvzzTfvvPNO14OJmSkTUqTfeOMN+0evv/66zHE2WPv375fu8Le//a2cJ9K7fPDBB9/73vesH8m+HnvsMVng8uXLp06dWr9+/e233+5/zK4H0+QFmrxKi2uwfLJwDRusIPWFBis5WljkchI/+eST2Q1kwn5XJCmUKtutWzd5V2q9/PWvf921a1d5Y/HEE0/IjcZerP7LH344d3HhwoWMjAxrukuXLnKOWtNSTuwbcXp6uixmTZ8/f15e+h+2zxkWvTsf0YtJPyfXjzUtEwUFBf7z492O1PXnnnvOua7P9qWW9OrVq6ampvkNliSrZ8+eUqUCbjxm+eYMjqvUG/l677MuyHyvi6KZI//FF1/MmzcvPz8/EolIxbJm+lzvK1eulD5G3qYPHDhwz5491vy333775ptvlpnyI6sTcl7sMQN17ty5jh07ysSPfvQju1kUa9askTn+x+865o8++qi86XKN0WuV6GPbsGFD9C4kutdee8158A899NAvf/lL111IOBKU1wFE79TnJlnvMfj+N894V3Het13T6nUaRJM3J9LcSCydOnW6//77Kysrg4Tjv1M5AWSDsrwMlGu8PlnwOt/sl0HOVXkP8L//+789evTIzMx85JFHLl686DpuPlyvaNeLInqDjQ6m14E5r2LnvoIU8SFDhqxdu9Y+YOlfc3JygpzVpmlhDZYkb8SIERUNhg8fPn/+fGu+5Oa+++6T96P2S1nskwYy8fOf/9yeHzPhtGnTpmHDhlnTUkvkLaA1LUVFThpr+sEHH5RdS76rqqrmzp0rL/0PO+DufEQvJie9fcbL4dlH5TU/3u3IeS/jLCe0XGCTJk2SGBvd/l133fXKK6/4RxrDa0m518gVGz3Hf+MxyzdncFyl3sjXe591QeZ7XRTNHHkpVLKLgwcPnj17dsaMGdZMn+t97Nixhw8fljv7woUL7Y5Ehu6Pf/yj3LLljjx16lR74egdRReJ48ePz5492/qARzqMoUOHrl+/XqbXrVsn07W1tf7H7zrmcgxSn1xj9Fol+r4kR9W7d++///3v8nLbtm0yLXOcNy45VbyeTBgzZsy4cePee++9zz//3Osw6gPcJH0G32ub8a7ivG+7ptVrs9H69+//zjvvSMhyW542bdoPfvCD4OG47lRu7DKSnzYYNWqUawg+WWi0wQpyri5duvSOO+74+OOP5aJ4+OGHf/rTn7qOmw+vK9p5VNEbbHQwvQ7M9SqO2VeQIv7nP/+5T58+cuZbP5Lx+dWvftVosAZqYQ3WjTfe+OGHH1rT8lZD3rtb05KbI0eO2IvJS3ux//znP9GLxUzE2LVrV8+ePe3748SJEydMmHCygbxZadu2rTXf+i2A1ZXLRKMnesDdeYlZrHXr1tatX8hEmzZt/OfHux2ZkGvGirq4uHjKlCn+y7/11lu33Xab9eBIMxssuaK+8Y1vlJeX23P8N+5cvsmD4yolR97rrAs43+uiaObIf/3rX7c/PLD5XO/SG1nTn332mfURlMjLy3v22WePHTsWvRFnLYkmb8HlFmH96MSJExJpaWmp/CvTcR2/TQYkurNxflTgXCXmpy+88MK9995b3/DLvt/97nfOBay91NTUuB7A+fPnpYZ9+9vfTktLkwF86qmnXN/6N3qT9Bl8r9jjXcV533ZNq9dmvcgIdOvWLXg4Xjvdu3evNS0ruobgk4VGG6wg5+pNN9300UcfWdNyQkqtsReLHjcvPvXFeVReG3QdTK8Dc72KY/YVsIjfeuut1lvH/fv3ywFIanxjNVQLa7DklmGf0DIhL61pyU30k6Hy0muxmIlo8n4xPz9/+/bt9pwzZ85ICZFbsLxTWbRo0fXXX2/NlwZ8zpw59jNY8tLebPTNNPp4guzOdXXnYk37qCCu7UR/RJGVleW/fL9+/d59912fSF25Lrlu3bp77rkneo7/xp3Lh/gJVkqOvPNg4p3vdVHEOzgxZ3v0pW3zud6jF7Nf/vOf/xw7dmyXLl169+5t/17Pa2HreMrKygoLC+058n5aFrB/R+lz/F5kQJwlzd5pu3btYn7DJXFJDxe9mCyQk5Pz6quvyr/2b9lituPz2YlNbonSOU2ePNnrKRz/sQ04+NHiXcV53475qf9mo+3YsUPyKKeldVLZfXC84UQvb2fK61fwzfkEK8i5Kt1e9JuB6PMkZtyCFA7Xw3DdYKOD6XVgrldxzL4CFvFNmzZ985vfvHLlyvjx46UTdY3CfC2swQr4Din6zZlMOBdz/upaSnVubu7OnTu9dv38889LXbGm5fRq5jNYje7OZ7EmPOwS13YGDx4c/ZCNXea9lm/l4B+UvZZz5ne+85333nsvZjGfjTuXD+sZrJQcea+zLt75tuiLopkjL2Umrk+woheLeSm36T/96U925xdzsccsLBey/aHF7t275b3yxo0bb7jhhgMHDsR1/DZpaEpLS2Nm2jvt06fPBx98EP2jf/zjHz169IhZbMmSJW3btrV/LeKs1jLsixcv9j8Si7wJ/OpXv+qc3+hN0mvwfZ77acInWEFeBvkES2a+9NJL0v1LSZZ/nSMW77kU5BMsnyxEN2r2py/Hjx+P61yVDuPw4cM+G/fS6JXrf1E0OpheB+Z6FcfsK2AiZGTkDeTMmTPl6rAfEGxxWliDJW837V/fSos9d+5ca77zIhk1apT1eIFMOB8F+NrXvhb9e6WlS5dKs29fTrYJEybIjuQOtXbt2ry8PPtDUbnnyq6tT7CefvrpRu+5MYfntbsYXoutXLnS9WtNXvPj3c6aNWvs3wEVFxfbTzh5Le8TqQ/nkps3b/7ud78bfBXX5eMdHFcpOfJeBxPvfK+Lopkjv2jRomHDhh06dCj66Y3g17s1IYMm9265HUvRkgJjzYy52KPXPX369Lx58wYOHCjTFy9elBv63/72N5l+4403br75Zus3fT7H7zrmR44ckV3b3yKUcN588017SWlJZS9//etfzzfYtm1b3759f/Ob3/hssN6twdq/f79U5WXLlsnIXLp0afv27fb3126//fb169dLg15bWyvHXFJSMmbMGNdt+t8kvQY/ZjyjBcyX1wB6vfTabDQZjddff12GQk4hGQrniMV7Lsny9jNYd955p2sIPlmwl5fqsHDhQjm7JBf33ntvXOfqM888I8csc2Sxf//739///vf9x9MSpL74XBT1AQbT68Bcr+KYfQU/SaRNlJm///3vo2cGLzEmaEnHWt/wieL06dOtLyDIhP1Jo/Misb4gk5mZ+eMf/zj6ewrWhJyCkUgk+ryJUV1dXd9Q8OTUT09PHzly5K5du+zty3U1evTo/2kgF+HBgwe9Dtj1Awav3fmvay8mrb309db/wjV79uzo/3DIdX6826lv+EVJVlaWjN7EiRPtR619lo8+Zq+h8B+T+obPbzZt2uS/YvRL1+XjHZwgR5gaI+91MPHO97oomjny0g3Ie5Vu3bpJ7FKxrJnBr3drQno+eW+dlpYm7dE777xjzfS52Dt37iw1z7p+J02aZD3wZJFjsBpcn+P3GvOjR48++uijMkpt27bt0qXL/fff//7779uj8Yc//OGWW26x7h4y8dJLLzW6wVaOClff8AVS2bIcVfv27W+99Vb7f2D6y1/+IvNlGGUcevbs+cQTT5w5c8Z1m/43Sa/BjxnPaAHz5RWv10uvzUaTt1uS+nbt2klv8eyzzzpHLN5zSRb44Q9/KIMjQ/SLX/xCtuwaglcW7O3s2bNHOnjr24IrVqyI61y9evWqxHLTTTd16NBB+nL7dud/sXtdudGcF0Vcg+l1YK5Xccy+gp8kMpi9e/f+4osvYqLzid00LelYAQChaFmF6tr617/+Ja3qtT6Ka+zKlSv2N1qS45577nn11VeTucfQcY0BgDo0WI2aMWPG8ePHjxw5cscdd/zkJz+51odzje3YscP+tmCiXb169YUXXujXr5/9PzW0UFxjSAjnx9QG3tBbxEHGKyWDQug4Kxr1zDPPdOvWrWvXro899lgL/W8CQvSVr3xlxYoVydmXnJw9evSQli45u0scrjEAAICQ0WABAACEjAYLAAAgZDRYAAAAIaPBAgAACBkNFgAAQMi0NFiu310HAABJdq07giRJ5Th1ZhQAAGPpKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKdynHyLEAAAo+gpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccp3KcfIsQAACj6CnHauJUk1EAAIylpxyriVNNRgEAMJaecqwmTjUZBQDAWHrKsZo41WQUAABj6SnHqRwnD7kDAGAUPeVYTZxqMgoAgLH0lGNT4ty8efPQoUM7dOiQk5MzefLkEydOOJdpzidSejIKAICx9JRjU+IcPnz4xo0bq6qqLly4sHDhwsLCQucyzcmKnowCAGAsPeXYxDirq6vT09Od82mwAABo0fSUY+PivHjx4pIlS4qKipw/kqxkZWVJ79W3b9/ly5dfuXIl+Gb1ZBQAAGPpKcdmxWk9XNW1a9cDBw54LXPp0qUdO3YUFBTMmDHDdXUvCT52AADQCD3l2Lg4z58/v2DBgiFDhvgvdvTo0UgkEnyzejIKAICx9JRjE+OUHisjI8N/mYqKiuzs7ODb1JNRAACMpaccmxLnxIkTy8vLa2trjx07Nm3atOhnsOxkFBcX79mz5/Lly7LkiBEjpk+fHnz7ejIKAICx9JRjU+LcsGFD//7927dvn5eXV1JScubMGftHdjKsZTp06NCrV6+ysrKamprg29eTUQAAjKWnHKdynDzkDgCAUfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOOUzlOvkUIAIBR9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lWE2cajIKAICx9JRjNXGqySgAAMbSU45TOU6+RQgAgFH0lGM1carJKAAAxtJTjtXEqSajAAAYS085VhOnmowCAGAsPeVYTZxqMgoAgLH0lONUjpOH3AEAMIqecqwmTjUZBQDAWHrKsSlxbt68eejQoR06dMjJyZk8efKJEyecy9TV1c2aNSsSiWRmZpaWlsrL4NvXk1EAAIylpxybEufw4cM3btxYVVV14cKFhQsXFhYWOpdZtWrVgAEDPm4gE6tXrw6+fT0ZBQDAWHrKsYlxVldXp6enO+cPGjRoy5Yt1rRMFBQUBN+mnowCAGAsPeXYuDgvXry4ZMmSoqIi5486depUWVlpTZ86dSoSiQTfrJ6MAgBgLD3l2Kw4ra/7de3a9cCBA86ftm7dura21pqWiTZt2riu7iXhRw8AAHzpKcfGxXn+/PkFCxYMGTLE+SM+wQIAoEXTU45NjFN6rIyMDOd8nsECAKBF01OOTYlz4sSJ5eXltbW1x44dmzZtWvQzWHYyVq5cybcIAQBoufSUY1Pi3LBhQ//+/du3b5+Xl1dSUnLmzBn7R3Yy6urqZs6cGWkwe/Zs/h8sAABaFj3lWE2cajIKAICx9JTjVI6TbxECAGAUPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjtXEqSajAAAYS085VhOnmowCAGAsPeU4lePkIXcAAIyipxyriVNNRgEAMJaecqwmTjUZBQDAWHrKsZo41WQUAABj6SnHauJUk1EAAIylpxyriVNNRgEAMJaecpzKcfItQgAAjKKnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKdynDzkDgCAUfSUYzVxqskoAADG0lOOTYlz69athYWFaWlpOTk5U6dOPX36tHOZ5nwipSejAAAYS085NiXOkSNHbtmypbq6+uTJkyUlJUVFRc5lmpMVPRkFAMBYesqxiXFeuHAhIyPDOZ8GCwCAFk1POTYxzk2bNg0bNsw5X7KSlZWVnp7et2/f5cuXX7lyJfg29WQUAABj6SnHxsW5a9eunj177tu3z2uBS5cu7dixo6CgYMaMGTE/auUrwQcOAAAaoaccmxXntm3b8vPzt2/f3uiSR48ejUQiwbesJ6MAABhLTzk2KM5169bl5ubu3LkzyMIVFRXZ2dnBN64nowAAGEtPOQ4/zpqamrlz5/bq1SstLU3+nT9//qVLlxpda+nSpfn5+Xv37nU5xP9PRnFx8Z49ey5fvlxeXj5ixIjp06cHPyo9GQUAwFh6ynH4cUrfU1hYKJ2QdFry7/Dhw5988snGj8Ohurra/pE1sWHDhv79+3fo0EH6trKyMtl+8KPSk1EAAIylpxyHH2d2dnZFRYX9Mt7f5SWInowCAGAsPeU4lRssvkUIAIBR9JTjhPyKcMSIER9++GFNTY38K9NBfkWYaHoyCgCAsfSU44Q85F5WVnbjjTempaXJv/PmzQvykHui6ckoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95Tj8OPfs2VNQUNCxY8dr/oA5D7kDAGAUPeU4/DgHDhy4cOHCzz77LPQtN4eejAIAYCw95Tj8ONPS0i5evBj6ZptJT0YBADCWnnIcfpzdu3c/fPhw6JttJj0ZBQDAWHrKcfhxrlixYuzYscePHw99y82hJ6MAABhLTzkOJ07nXxI07QFzE44BAADl9JTjVI7TtCYPAADl9JTj8OO87rrrQt9m8+nJKAAAxtJTjsOP84Ybbvjvf/8b+mabSU9GAQAwlp5yHH6cy5Yte+CBB44cOVJXVxf6xptMT0YBADCWnnIcfpw85A4AAFzpKcdq4lSTUQAAjKWnHKdynKZ9igYAgHJ6yrEpcW7durWwsDAtLS0nJ2fq1KmnT592LlNXVzdr1qxIJJKZmVlaWhrXM156MgoAgLH0lGNT4hw5cuSWLVuqq6tPnjxZUlJSVFTkXGbVqlUDBgz4uIFMrF69Ovj29WQUAABj6SnHJsZ54cKFjIwM5/xBgwZJE2ZNy0RBQUHwberJKAAAxtJTjk2Mc9OmTcOGDXPO79SpU2VlpTV96tSpSCQSfJt6MgoAgLH0lGPj4ty1a1fPnj337dvn/FHr1q1ra2utaZlo06ZNzAKG/z1EAACU01OOzYpz27Zt+fn527dvd/0pn2ABANCi6SnHBsW5bt263NzcnTt3ei3AM1gAALRoesqxKXEuXbo0Pz9/7969zh/ZyVi5ciXfIgQAoOXSU45NidP5yFR1dbX9I2uirq5u5syZkQazZ8/m/8ECAKBl0VOO1cSpJqMAABhLTzlO5Tj5FiEAAEbRU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lWE2cajIKAICx9JRjNXGqySgAAMbSU45TOU4ecgcAwCh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx6kcJ98iBADAKHrKsZo41WQUAABj6SnHauJUk1EAAIylpxyriVNNRgEAMJaecqwmTjUZBQDAWHrKsZo41WQUAABj6SnHqRwn3yIEAMAoesqxQXE22gk1p2HSk1EAAIylpxwbF6d/g5WIzQIAgOTQU46Ni5MGCwCAVKWnHBsXp3+DlZWVlZ6e3rdv3+XLl1+5ciWUzQIAgOTQU46Ni7PRob906dKOHTsKCgpmzJjhXNdHwg4ZAAAEoqccGxdnwKE/evRoJBIJfbMAACBx9JRj4+IMOPQVFRXZ2dmhbxYAACSOnnJsXJzOobfnFBcX79mz5/Lly+Xl5SNGjJg+fXpzNgsAAJJMTzk2KE6vR6bs6Q0bNvTv379Dhw69evUqKyurqamJa+MhHy4AAIiTnnKsJk41GQUAwFh6ynEqx8m3CAEAMIqecqwmTjUZBQDAWHrKsZo41WQUAABj6SnHauJUk1EAAIylpxyriVNNRgEAMJaecpzKcfKQOwAARtFTjtXEqSajAAAYS085VhOnmowCAGAsPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjtXEqSajAAAYS085TuU4+RYhAABG0VOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlO5Tj5FiEAAEbRU44NirPRTqiurm7WrFmRSCQzM7O0tFRexrXxMI4RAAA0nZ5ybFycPkO/atWqAQMGfNxAJlavXh3KZgEAQHLoKcfGxekz9IMGDdqyZYs1LRMFBQWhbBYAACSHnnJsXJw+Q9+pU6fKykpr+tSpU5FIJJTNAgCA5NBTjo2L02foW7duXVtba03LRJs2bZzr+kjgQQMAgAD0lGPj4uQTLAAAUpWecmxcnDyDBQBAqtJTjo2L0zn09pyVK1fyLUIAAFouPeXYoDi9Hpmyp+vq6mbOnBlpMHv2bP4fLAAAWhY95VhNnGoyCgCAsfSU41SOk28RAgBgFD3lWE2cajIKAICx9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lWE2cajIKAICx9JTjVI6TbxECAGAUPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjtXEqSajAAAYS085VhOnmowCAGAsPeU4lePkIXcAAIyipxyriVNNRgEAMJaecqwmTjUZBQDAWHrKsZo4AQCAAa51R5AkWuJMnKSdK8nZEeGYvCPCMXlHhGPyjgjH8B2lJMauuVLsRCcck3dEOCbviHBM3hHhGL6jlMTYNVeKneiEY/KOCMfkHRGOyTsiHMN3lJIYu+ZKsROdcEzeEeGYvCPCMXlHhGP4jlISY9dcnH8mIzsmIzsmIzsmIzstAklqLk50k5Edk5Edk5Edk5GdFoEkNRcnusnIjsnIjsnIjsnITotAkpqLE91kZMdkZMdkZMdkZKdFIEnNxYluMrJjMrJjMrJjMrLTIpAkAACAkNFgAQAAhIwGCwAAIGQ0WAAAACGjwQIAAAgZDRYAAEDIaLAAAABCRoMVq9X/i5556NChu+++O9JAJuSlc8W6urpZs2bJApmZmaWlpfLSfz6awDU7VVVVkyZN6ty5c1ZW1oIFC1xXJDuJtnXr1sLCwrS0tJycnKlTp54+fdqaH2SEyU6ieWWn3uOaikZ2Es0rOz5Zs5Edk9FguYu53QwaNKisrKyqwZw5c+Slc5VVq1YNGDDg4wYysXr1av/5aLKY7EyZMqW4uPhEg3Hjxr344ovOVchOoo0cOXLLli3V1dUnT54sKSkpKiqy5gcZYbKTaF7Zsfk0WGQn0byy02jW6smO2Wiw3MXcbtLT0y9cuGBNnz9/Xl46l5SuSy4Ga1omCgoK/OejyWKy06VLF7kBWdPSYw0ePNi5JNlJJrlYMjIyrGmfESY710R0dmzOBovsXBOu2XHOJzstAg2Wu5jbzYMPPjh//vxz585VVVXNnTtXXjqX7NSpU2VlpTV96tSpSCTiPx9N5mywZGCtaem0okeY7FwTmzZtGjZsmDXtM8Jk55qIzo7Np8EiO8nkmh3nfLLTItBguYu53XzyySfdu3e3nlSQiU8//dS5SuvWrWtra61pmWjTpo3/fDRZTHYmTpw4YcKEkw0eeuihtm3bOlchO0mza9eunj177tu3z3oZZITJTtLEZMfm8ytCspM0Xtnxml9PdsxGg+Uu5nYzYsSIOXPm2M9gyUvnKryTSJqY7Jw5c0b6qszMzOzs7EWLFl1//fXOVchOcmzbti0/P3/79u32nCAjTHaSw5kdm0+DRXaSwys7PlmrJztmo8FyF3O76dixo9czWDZ+F540PsXg+eefl2bLOZ/sJMG6detyc3N37twZPTPICJOdJHDNjs3nmiI7SeCVHf+s1ZMds9FguXN+i3Du3LnWJ1hPP/2064O6K1eudP3Whtd8NFlMdiZMmFBRUSGpWbt2bV5e3kcffeRckuwk2tKlS+V99t69e2Pm+4ww2Ukar+zYfJ7BIjuJ5pUdn6yRnRaBBitWqy+zZu7fv3/06NH/02DMmDEHDx6MXt6aqKurmzlzpvV/Zc2ePTv6/yNxnY8mcM3OmjVr5E1eenr6yJEjd+3aFbO8NUF2Eq2VQ3V1db3vCJOdpPHKjvNH0atYE2Qn0byy4581a4LsmIwGCwAAIGQ0WAAAACGjwQIAAAgZDRYAAEDIaLC+JN4/WOs1P8gf6fRZXezevXvUqFEZGRm5ublr1qyJd3VRWVmZl5fn8+1rAACQIFTfL4n3D9Z6zQ/yRzp9Vt+3b5/0Ri+//PLZs2ePHj06fvz4uFa3PP7444sXL6bBAgAg+ai+noL8wdog/5mb1x/v9FldOqrnnnuu0SP02Xt5eXmvXr1qamposAAASD6qr6cgf7A2yJ8j8PrjnT6rZ2dnz5s3Lycnp3PnzpMmTaqqqoprdXHXXXe98sor9b7/QTMAAEgQqq+7gH+wttE/qOnzRzp9VpeJhx9+2PrrxcXFxVOmTIlr9bfeeuu2226zHsmiwQIAIPmovi6C/8Fa/0+wnNuJ+e+SfTYrL61p6bGysrLiWr1fv37vvvuuvUrTBwIAADQJ1TdWXH+w1ucpqEb/SKfP6oMHD5a+ypo+ceKE3WAFXN35BxYCRQ4AAEJC6f2SeP9grdf8Rv+0qv/qa9asmTBhgv0rwkceeSSu1aPRXQEAkHxU3y+J9w/Wes33+SOd0Xz+Huf8+fOzsrIyMzMnTpzo9ZB7kD/nSYMFAEDyUX0BAABCRoMFAAAQMhosAACAkNFgAQAAhIwGCwAAIGQ0WAAAACGjwQIAAAgZDRYAAEDIaLAAAABCRoMFAAAQMhosAACAkNFgAQAAhIwGCwAAIGQ0WAAAACGjwQIAAAgZDRYAAEDIaLAAAABCRoMFAAAQMhosAACAkNFgAQAAhIwGCwAAIGQ0WAAAACGjwQIAAAgZDRYAAEDIaLAAAABCRoMFAAAQsv8D6zDZ0yU+f5sAAAAASUVORK5CYII=)
| VMR Tools created by Darren De Zeeuw. |