Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit380-12-20021216_211200_20021217_015100-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/12/16 |
Start Time | | 2002/12/16 21:12 |
End Time | | 2002/12/17 01:49 |
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 | | 25.15 |
Dipole Tilt, in Y-Z GSE plane, deg | | -8.97 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 196.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit380-12-20021216_211200_20021217_015100-constBx0 |
Minimum Dst Value | | -6 |
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 GOES-12 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAV2VkIEphbiAwOSAxODoxMzoxNiBFU1QgMjAxOVGFbgcAAAHMdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQzODEtMDEtMjAwMjEyMTdfMDE1MTAwXzIwMDIxMjE3XzA2MzUwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIEdPRVMtMTIgdHJhamVjdG9yeS4iLCAKICAgICJ4YXhpcyI6IHsgImxhYmVsIjoiIiwgIm1pbiI6IjIwMDItMTItMTdUMDE6NTE6MDAuMDAwWiIsICJtYXgiOiIyMDAyLTEyLTE3VDA2OjMzOjAwLjAwMFoiLCAibGVmdCI6NzgsICJyaWdodCI6NzIyLCAidHlwZSI6ImxpbiIsICJ1bml0cyI6IlVUQyIgfSwKICAgICJ5YXhpcyI6IHsgImxhYmVsIjoicmhvIiwgIm1pbiI6MC44ODU5NTE5OTk1LCAibWF4IjoyLjgyODI4ODAwMDUsICJ0b3AiOjUyLCAiYm90dG9tIjoyMzUsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiIiB9CiAgfQogXX2j73wEAAAABGdBTUEAAK/INwWK6QAAIepJREFUeJzt3XtwFeX5wHHklgBtficYiYkQiSlWOkCV0Q4YQEBAKUXRdtogCiq1aRVG2nKJDZfSi7SdhhHHCpbSjjNeADuY0QKdTivtlFoZKENNDaJVCNFyFYSgCTEkv2eyMzvr2bN7dnM2hzfn+X7+yOzZ7O15n919nnNyck63NgAAAESq28U+AAAAgExDgwUAABAxGiwAAICI0WABAABEjAYLAAAgYjRYAAAAEaPBAgAAiBgNFgAAQMRosAAAACJGgwUAABAxGiwAAICI0WABAABEjAYLAAAgYjRYAAAAEaPBAgAAiBgNFgAAQMRosAAAACJGgwUAABAxGiwAAICI0WABAABEjAYLAAAgYjRYAAAAEaPBAgAAiBgNFgAAQMRosAAAACJGgwUAABAxGiwAAICI0WABAABEjAYLAAAgYjRYAAAAEcvMBqtbt8yMCwA6VWfcPF999dUhQ4Yk3XJn7JpagIsoM08+r4uKiw0AfHTGTXLMmDFbtmy5KLvmnh8hBjOszByvsE+Vtm7dOm7cuKysrIKCgjlz5hw9etSa/84773zlK1+JtZMJeejcgsVnL62trYsXL5Z1c3NzKyoq5GGo1bdv3z5x4sTs7Gw5qrlz5548edJ/s17zvbbjdRhhl+/2aTk5ORGOSdzGE/4qyPZ99uumbeT37ds3ZcqUfv36FRYWbtiwwZrpdVF4ZSSSke8MXoN2ySWX5Ofnl5WV1dfX+6zegeM/cuTIgw8+OHjw4F69eslat956qwxmwoOJmykTX/jCF5y7kOmhQ4c6F7B/tX///jvvvLN///69e/e+/vrrX3jhBWv+hx9+KMc5ZMiQPn36yN5vv/32P//5z0mP2X0wHV7ATc7Mpqam1HfdAZ3dE/jkWtTU1EydOvUz7WTi9ddfdx5YwkspVPrC3kacK6YaeWDp3JdpMjPysPeICRMmyBOs06dPnz17duXKlXJ2WvNHjx5dWVl5ut0jjzwiD0PtaN26dSNHjny3nUysX78+1OqTJ0/etm1bQ0PDsWPHysvLp02b5r9Zr/le2/E6jLDLO61evXrhwoU+QYUdk7CpDDs4Caka+QMHDgwaNOiZZ545depUXV3dzJkzrfleF4XXMUQy8p3B64y6cOHC+++///3vf3/MmDE+q4c9/vfee+/KK6+UzdbW1n788cdS3l5++eVbbrkl4cHEzZQJaZVeeukl+1cvvviizHE3WG+99ZZ0h7/85S8lZdK7vPbaa1/96letX8m+HnjgAVng/Pnzx48f37Rp00033eR/zAkPpsMLdHiVLtdg+ef67bffvuyyy6qqqo60kytUHspM/wPrQPrC3kZ89t4ZaLC6DLmVPPzww/ntZMJ+ViQplNN34MCB8qzUevjzn/98wIAB8vTuoYcekjPVXqzt008d3LuQ87Jv377WtExIdbGmz5w5Y8+3+Z860pDJiW5Ny0RpaWmo1Z3kMPr16+e/2aS7i9tOkMMItbyMc3Fxsdx0fAIJOyZhb/epDE5CGT/y0lE98cQTPiu2ffqi8DqGFEf+k08+WbZsWVFRUSwWk77Bmulzva9du1ZqmzxNHzVqVE1NjTVfnutfd911MlN+ZXVC7os97vg//PDDPn36yMS3v/3t3/72t/b8DRs2yBz/4084FPfff788GUsYo9cqzmPbvHmzcxcS3QsvvOA++LvuuusnP/lJwl1IOBKU1wE4d+pzk2zzGHz/m2fYVdz37YRp9ToNnOR5grSYEktOTs4dd9xx4sSJIOH471ROANmgLC8D1YFcz5o1a8WKFc45y5cvv/vuu+MOLE7A9Dl14DbiviiciUg6mPLk5Mc//vHgwYNzc3Pvu+++c+fOWfPdV7F7X0GK+NixY59//nn7gOVZREFBQdhhMUEXa7AkeZMmTapvJ8+w5Xy15ktubr/9dnk+aj+Uxd5rJxM//OEP7flxE3HkRFm1apXd8n/ta1+TXUhe5Xn80qVL5WHc8v7lX85O+9SU5yJyzoVa3am6unr8+PH+m026u7jtBDmMUMtLSZOLzT+QsGMiD/Py8qS6Dxs2bM2aNS0tLf7LpzI4CWX8yMttTi4ruX/J/XT27NlyqsetGHdReGUkxZGXdkHi/e9//3vq1KkFCxZYM32u9xkzZhw8eFCObeXKlXZHIlH8/ve/l1u23JHnzp2bcNCcReLIkSNLliyxXiGQDmPcuHGbNm2S6Y0bN8p0c3Oz//EnTIccg9SnhDF6reK8L8lRDRky5B//+Ic83LFjh0zLHPeNS7LmfMeC09SpU7/+9a/v3Lnz448/9jqMtgA3SZ/B99pm2FXc9+2EafXarNOIESNeeeUVCVlu1/PmzfvmN78ZPJyEO5Ubvozk++2mTJnSgVxLjuR8ds6Rh5dffrn/mARMn1PY24h7lbhEJB3Mqqqqm2+++d1335WrVVrG733ve9b8hFdx3L6CFPE//vGPQ4cOlTPf+pVcyz/72c8CjoZRuliDddVVV73xxhvWtDzVKCkpsaYlN4cOHbIXk4f2Yv/5z3+ci8VNOFldtjyls1/FtV4BtubLhH3+OVfxOdru3btb92ghEz169Ai1um3v3r3FxcX2ley12aS7i9tO0sMItbxcDFdffXVtba1/LB0bEymZu3fvlnuffdF6Ld/hwUlIw8jLhNwij7UrKyu799574/YYd1FY3BlJceQ/97nP2S8e2Hyud+mNrOmPPvrIeglKDBo06PHHHz98+HBcCO6IbPIUXG4R1q+OHj0qw15RUSE/7fechT1zevbs6SyN7pcK3KvE/fapp5667bbb2tr/WvTrX//avYC1l8bGxoQHcObMGalhX/ziF7Ozs2UAFy5cmPCpf9KbpM/ge8UedhX3fTthWr0260VGYODAgcHD8drp/v37rWlZMWEI/rmWUyUuR7KwrBK3cNxaAdPnFPY24l4lLhFOCQfzmmuuefPNN61puVKkOFrTCa/iuH0FLOI33HDDs88+29b+13A5AElNwsMzXBdrsOScs09ZmZCH1rTkJu7t0l6LxU3EkZNpxYoVY8eOtR5Ko/3II4/Y78GSh3HLe927rYcdeLXGubpFnsUWFRXt2rXLntOxlwrc2/E6jI4tL0/6p0+f7p4fJ5VX9erq6pIuH+ErWEpGXubLQ2taeqy8vLy4FeMuCidnRsIOTtzZ7ry0bT7Xu3Mx++G//vWvGTNmXHrppUOGDLH/rue1sHU8lZWV9tvL2tr/iCML2H+j9Dl+L5dffrlPZ9yrV6+4v3BJXNLDOReTBQoKCp577jn5af+VLW47Pq9g2eSWKJ3TnDlzvN6F4z+2AQffKewq7vt23G/9N+sk7b7kUdpl66Sy++Cw4TiXtzMlyycMwT/X8rSkA69g2dzpS1ggvDblcxtxrxKXiKSDKW2oszW0T+CEV3HcvgIW8erq6s9//vMtLS0zZ86UZ00JozBfF2uwAj5Dcj45kwn3YtZfmhOScmL/0VpOo4v7HiypnYWFhXv27AmyWZ/dJdyOz2GEXV5ce+21O3fu9A/H/yB9Nm6pr6+XuuK/fFTvwdIz8mPGjJG+ypqWJ6PuBqvt0xeFkzMjKY68tEShXsFyLhb3UG7Tf/jDH+xKFnexxy0sF7j9osW+ffvkufKWLVuuuOIK+xW7sGeOVMSKioq4mfZOhw4d+tprrzl/9c9//nPw4MFxi61atapnz572n0XcDdZdd9316KOP+h+JRZ4cfvazn3XPT3qT9Bp8n5tnB17BCvIwyCtYMvPpp5/+4IMPpCTLT/eIhT2XgryC5Z9r6Qzc78GaNWtWwv168Upfwj3a/G8jbckuiqSDKa3PwYMH3ZtNeBXH7StgIuQqHj58+KJFi+TqsN8g2OV0sQZLnm7af76VFnvp0qXWfPdFMmXKFOvtBTLhfivAZZdd5vyTyj333CMPm5ubDx8+PG/ePPsZg9xbZRfWK1g/+MEPwnZIa9euTeW/CKuqquQpiH2RJ92s13yv7XgdRtjl29r/pf/GG2/0iSXpwXttvKysTC5CucAkQZL6+fPn+y8fdnASUjXyGzZskJu+/SdC+71cXheFV0ZSHPmf/vSn48ePf+edd5zv3gh+vdvHJvduOTZpsKTAWDPjLnbnuidPnly2bNmoUaPa2t9qJjf0v/3tbzL90ksvXXfdddZff3yOP+H1e+jQIdm1/Z9lEs7LL79sL/mrX/1K9vLXv/71TLsdO3YMGzbsF7/4hc8GnfPtibfeeks6yNWrV8vINDU17dq1y/4vwptuumnTpk3SK0vu5JjLy8unTp2acJv+N0mvwY8bT6eA+fIaQK+HXpt1ktF48cUXZSjkFJKhcI9Y2HNJlrffg3XLLbd0INdvvvmmPF2RHNn/RSgP7Ve8vMYkYPp8xi3pbaTN96JoCzCYjz32mAymbEGutddff/0b3/iGNT/hVRy3r+AnibSJMvM3v/mNT7CG60rH2tb+iqLc0K1/QJAJ+5VG90Vi/YNMbm7ud77zHef/KVgTcgrGYjH74ebNm0eMGNG7d+9BgwbJCS09uzVf7mK33nrr/7WTs9z5em+3T0t4tNKDSwNufYzWkiVLEn7mk8/q3VwaGhp8Nus132s7XocRdvm29ldBqqurE0aR4phYqcnKypInOnJlOl9/Trh82MFh5Nvan1jLrV8uFmmq7De5e10UXhlJceSlnMhzmIEDB8phSCmyZga/3q2J559/Xp5bZ2dnS3v0yiuvWDPjLnbnMPbv3/+2226zruvZs2dbb3iyyDFYvab/GZswlrq6uvvvv19Kb8+ePS+99NI77rjj1VdftUfjd7/73fXXX2/dVWTi6aefTrrBbq4KJ6RoyZblqCRHN9xwg/05WH/5y19kvgyjjENxcfFDDz1k5y5um/43Sa/BjxtPp4D58orX66HXZp3kmYakvlevXtJbPP744+4RC3suyQLf+ta3ZHBkiH70ox/JlhOG4JNr8e9//1sqSL920qXt27fPuaOEF3XA9CXciNeW7duIzX1RhBrMCxcuyPxrrrlG7gPyhMG+BSW8iuP2FfwkkVN6yJAhn3zySVzIXqNhoK50rACASHStQnVxSZ8kvc7FPoqLrKWlxX6HfnpMnz79ueeeS+ceI8c1BgDq0GAltWDBgiNHjhw6dOjmm2/+7ne/e7EP5yLbvXu3/d+Cne3ChQtPPfXU8OHD7U9q6KK4xtAp3C9TG3hD7xIHGVZGBoXIcVYk9dhjjw0cOHDAgAEPPPBAF/2YgAh95jOfefLJJ9OzLzk5Bw8eLC1denbXebjGAAAAIkaDBQAAEDEaLAAAgIjRYAEAAESMBgsAACBiNFgAAAAR09JgJfzfdQAAkGYXuyNIEzVxqskoAADG0lOO1cSpJqMAABhLTznO5Dh1viYJAICx9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lWE2cajIKAICx9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lWE2cajIKAICx9JRjNXGqySgAAMbSU44zOU4+yR0AAKPoKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxmjjVZBQAAGPpKceZHCcfNAoAgFH0lGM1carJKAAAxtJTjtXEqSajAAAYS085VhOnmowCAGAsPeVYTZxqMgoAgLH0lGNT4ty+ffvEiROzs7MLCgrmzp178uRJ9zKpvGldT0YBADCWnnJsSpyTJ0/etm1bQ0PDsWPHysvLp02b5l4mlazoySgAAMbSU45NjPPs2bP9+vVzz6fBAgCgS9NTjk2Ms7q6evz48e75kpW8vLy+ffsOGzZszZo1LS0twbepJ6MAABhLTzk2Ls69e/cWFxcfOHDAa4Gmpqbdu3eXlpYuWLAg7lfdfHXygQMAgCT0lGOz4tyxY0dRUdGuXbuSLllXVxeLxYJvWU9GAQAwlp5ybFCcGzduLCws3LNnT5CF6+vr8/Pzg29cT0YBADCWnnJsSpxVVVVFRUX79+93/8pORllZWU1Nzfnz52traydNmjR//vzg29eTUQAAjKWnHJsSp/stUw0NDfavrInNmzePGDEiKyurpKSksrKysbEx1PajP2gAABCGnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6ynEmx8knuQMAYBQ95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95TiT4+SDRgEAMIqecqwmTjUZBQDAWHrKsZo41WQUAABj6SnHauJUk1EAAIylpxyriVNNRgEAMJaecqwmTjUZBQDAWHrKsZo41WQUAABj6SnHauJUk1EAAIylpxyriVNNRgEAMJaecqwmTjUZBQDAWHrKcSbHySe5AwBgFD3lWE2cajIKAICx9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lWE2cajIKAICx9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lOJPj5INGAQAwip5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxKXFu37594sSJ2dnZBQUFc+fOPXnypHuZ1tbWxYsXx2Kx3NzciooKeRh8+3oyCgCAsfSUY1PinDx58rZt2xoaGo4dO1ZeXj5t2jT3MuvWrRs5cuS77WRi/fr1wbevJ6MAABhLTzk2Mc6zZ8/269fPPX/06NHShFnTMlFaWhp8m3oyCgCAsfSUYxPjrK6uHj9+vHt+Tk7OiRMnrOnjx4/HYrHg29STUQAAjKWnHBsX5969e4uLiw8cOOD+Vffu3Zubm61pmejRo0fcAt18dfqhAwAAX3rKsVlx7tixo6ioaNeuXQl/yytYAAB0aXrKsUFxbty4sbCwcM+ePV4L8B4sAAC6ND3l2JQ4q6qqioqK9u/f7/6VnYy1a9fyX4QAAHRdespx9HE2NjYuXbq0pKQkOztbfi5fvrypqSn5cbg0NDTYv7ImWltbFy1aFGu3ZMkSPgcLAICuRU85jj7O+fPnT5w4saamRjot+TlhwoSHH3448r2EpSejAAAYS085jj7O/Pz8+vp6+6FMy5zI9xKWnowCAGAsPeWYBgsAAKSJnnLcKX8inDRp0htvvNHY2Cg/ZZo/EQIAgDZN5bhT3uReWVl51VVXZWdny89ly5YFeZN7Z+CDRgEAMIqecqwmTjUZBQDAWHrKsZo41WQUAABj6SnH0cdZU1NTWlrap08fo/48Z8IxAACgnJ5yHH2co0aNWrly5UcffRT5llOhJ6MAABhLTzmOPs7s7Oxz585FvtkU6ckoAADG0lOOo4/zyiuvPHjwYOSbTZGejAIAYCw95Tj6OJ988skZM2YcOXIk8i2nQk9GAQAwlp5yHE2c7q9qNu0zqEw4BgAAlNNTjjM5TtOaPAAAlNNTjqOP85JLLol8m6nTk1EAAIylpxxHH+cVV1zxv//9L/LNpkhPRgEAMJaechx9nKtXr77zzjsPHTrU2toa+cY7TE9GAQAwlp5yHH2cvMkdAAAkpKccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnKcyXGa9p+MAAAop6ccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccZ3KcfNAoAABG0VOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzk2KM6k/+6Xyn8F6skoAADG0lOOjYvTv8HqjM0CAID00FOOjYuTBgsAgEylpxwbF6d/g5WXl9e3b99hw4atWbOmpaUlks0CAID00FOOjYsz6dA3NTXt3r27tLR0wYIF7nV9dNohAwCAQPSUY+PiDDj0dXV1sVgs8s0CAIDOo6ccGxdnwKGvr6/Pz8+PfLMAAKDz6CnHxsXpHnp7TllZWU1Nzfnz52traydNmjR//vxUNgsAANJMTzk2KE6vt0zZ05s3bx4xYkRWVlZJSUllZWVjY2OojUd8uAAAICQ95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95TiT4+SDRgEAMIqecqwmTjUZBQDAWHrKsZo41WQUAABj6SnHauJUk1EAAIylpxyriVNNRgEAMJaecqwmTjUZBQDAWHrKsZo41WQUAABj6SnHauJUk1EAAIylpxyriVNNRgEAMJaecpzJcfJBowAAGEVPOVYTp5qMAgBgLD3lWE2cajIKAICx9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lWE2cajIKAICx9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lOJPj5JPcAQAwip5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5ynMlx8kGjAAAYRU85VhOnmowCAGAsPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjtXEqSajAAAYS085VhOnmowCAGAsPeXYoDiT/rtfa2vr4sWLY7FYbm5uRUWFPAy18SiOEQAAdJyecmxcnD5Dv27dupEjR77bTibWr18fyWYBAEB66CnHxsXpM/SjR4/etm2bNS0TpaWlkWwWAACkh55ybFycPkOfk5Nz4sQJa/r48eOxWCySzQIAgPTQU46Ni9Nn6Lt3797c3GxNy0SPHj3c6/roxIMGAAAB6CnHxsXJK1gAAGQqPeXYuDh5DxYAAJlKTzk2Lk730Ntz1q5dy38RAgDQdekpxwbF6fWWKXu6tbV10aJFsXZLlizhc7AAAOha9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lWE2cajIKAICx9JTjTI6TDxoFAMAoesqxmjjVZBQAAGPpKcdq4gQAAAa42B1BmmiJM0XpOSHSdtplUjiZtJe07Yi9GLsj9mLsjtiLyTsyk+rgg+OkZy9p2EvadsRejN0RezF2R+zF5B2ZSXXwwXHSs5c07CVtO2Ivxu6IvRi7I/Zi8o7MpDr44Djp2Usa9pK2HbEXY3fEXozdEXsxeUdmUh18cMrPEpORGmORGmORGmORmkxCLgPhpDcWqTEWqTEWqTEWqckk5DIQTnpjkRpjkRpjkRpjkZpMQi4D4aQ3FqkxFqkxFqkxFqnJJOQyEE56Y5EaY5EaY5EaY5GaTEIuAQAAIkaDBQAAEDEaLAAAgIjRYAEAAESMBgsAACBiNFgAAAARo8ECAACImMYGq7W1dfHixbFYLDc3t6KiQh5a87dv3z5x4sTs7OyCgoK5c+eePHky+Lpe8xGK1zBu3bp13LhxWVlZkpo5c+YcPXo0+LqkJhL+w3jixIlBgwZ5fYQPqelUXsPY7dNCrUtqIuEzjPv27ZsyZUq/fv0KCws3bNgQfF1S04VobLDWrVs3cuTId9vJxPr16635kydP3rZtW0NDw7Fjx8rLy6dNmxZ8Xa/5CMVrGCdMmLBly5bTp0+fPXt25cqV0gcHX5fURMJ/GB988MFHH33Uq4qTmk7lNYxBPrKS1HQqr2E8cOCAPCF55plnTp06VVdXN3PmzODrkpouRGODNXr0aGmkrGmZKC0tdS8jhVyeW9gP7VuV17pBtomkggyjdMB9+/a1H5Ka9PAZxtra2pKSksbGxriKTmrSw2sYfRosUpMeXsMoHdUTTzyRcBVSk0k0Nlg5OTknTpywpo8fPx6LxdzLVFdXjx8/3n5on/Re6wbZJpJKOoznzp1btWqV88VFUpMePsP45S9/+dlnn21zVXRSkx5ewyjjn5eXJ89Ghg0btmbNmpaWFnsVUpMeXsOYn5+/bNmygoKC/v37z549+/Tp0/YqpCaTaGywunfv3tzcbE3LRI8ePeIW2Lt3b3Fx8YEDB4Kvm3SbCMJ/GK23kgwYMODtt98Ovi6piYTXMP7pT3/60pe+ZL0RxOslE1LTqfyHsampaffu3aWlpQsWLAi+LqmJhNcwysTdd999rF1ZWdm9994bfF1S04VobLD8nwHs2LGjqKho165dodblWUUkkg7jmTNnVqxYMXbs2ODrkppIeA3j8OHD//73v1vTXg0WqelUQYaxrq4u4XxS06l8hlceWtPSY+Xl5YVal9R0FRobLJ+/YW/cuLGwsHDPnj1h1+Xv4pEIMozSYznfHpd0XVITCZ83+iT9bzVS06mCDGN9fX1+fn7wdUlNJLyGccyYMdJXWdNHjx5N2GCRmgygscFau3Ztwv/CqKqqKioq2r9/v3sVu2x4res1H6F4DeM999xTW1vb3Nx8+PDhefPmJXwPFqnpVEGG0es9WKSmU3kNY1lZWU1Nzfnz5+XamTRp0vz58+1VSE16eA3jhg0bZs2aZf+J8L777rNXITWZRGOD1draumjRoli7JUuWeH1sjGhoaLB/5b+u13yE4jWMmzdvHjFiRO/evQcNGlReXv7BBx/Yq5Ca9AgyjF4NFqnpVP5XTVZWVklJSWVlZWNjo70KqUkPn2Fcvnx5Xl5ebm6uPHtM+CZ3UpMBNDZYAAAAnYoGCwAAIGI0WAAAABGjwQIAAIiYxgbL60udw365ZpAvh7Yk/A/2FFePez9+Tk5Ox0YDAABETmOD5fWlzmG/XDPIl0M7xXVIKa7utHr16oULF/qvDgAA0kZjg+Xk/FLnVD7YLe7LoRPy6ZBSWf38+fPFxcXvvfee/+oAACBttDdYzi91TuWrCeK+HDohnwYrldXXr1/v/Jw6AABw0alusOK+1LnDX67p8+XQTl4dUiqrX7hw4eqrr66trfVfFwAApJPeBsv9pc4dewXLvR2vL2VL2CGluPrGjRunT5/uGygAAEg3pQ1Wwi917sB7sJJ+ObSTu0NKcXVx7bXX7ty5M8jqAAAgbTQ2WF5f6hz2yzV9vhw6obgOKcXVxdatW2+88caAqwMAgLTR2GB5falz2C/X9PlyaP89RrK6GDNmTHV1dVTDAgAAoqKxwQIAAOhUNFgAAAARo8ECAACIGA0WAABAxGiwAAAAIkaDBQAAEDEaLAAAgIjRYAEAAESMBgsAACBiNFgAAAARo8ECAACIGA0WAABAxGiwAAAAIkaDBQAAEDEaLAAAgIjRYAEAAESMBgsAACBiNFgAAAARo8ECAACIGA0WAABAxGiwAAAAIkaDBQAAEDEaLAAAgIjRYAEAAESMBgsAACBiNFgAAAAR+3/uxPwbJq2vkgAAAABJRU5ErkJggg==)
| VMR Tools created by Darren De Zeeuw. |