Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit249-06-20020207_000600_20020207_045000-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/02/07 |
Start Time | | 2002/02/07 00:06 |
End Time | | 2002/02/07 04:48 |
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 | | 25.06 |
Dipole Tilt, in Y-Z GSE plane, deg | | -25.50 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 186.60000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit249-06-20020207_000600_20020207_045000-constBx0 |
Minimum Dst Value | | -44 |
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-8 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUARnJpIERlYyAwOCAwMTo1MDoyNyBFU1QgMjAxN3cJKnkAAAHLdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQyNDktMDYtMjAwMjAyMDdfMDAwNjAwXzIwMDIwMjA3XzA0NTAwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIEdPRVMtOCB0cmFqZWN0b3J5LiIsIAogICAgInhheGlzIjogeyAibGFiZWwiOiIiLCAibWluIjoiMjAwMi0wMi0wN1QwMDowNjowMC4wMDBaIiwgIm1heCI6IjIwMDItMDItMDdUMDQ6NDg6MDAuMDAwWiIsICJsZWZ0Ijo3OCwgInJpZ2h0Ijo3MjIsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiVVRDIiB9LAogICAgInlheGlzIjogeyAibGFiZWwiOiJyaG8iLCAibWluIjowLjA3MTU0MDQ5OTUsICJtYXgiOjEuMjM5MDY5NTAwNSwgInRvcCI6NTIsICJib3R0b20iOjI0OCwgInR5cGUiOiJsaW4iLCAidW5pdHMiOiIiIH0KICB9CiBdfdEz5g4AAAAEZ0FNQQAAr8g3BYrpAAA8J0lEQVR4nO3df1wc9Z0/cH4mm4C4RJJABLIxxMaKihE9ktCIkURMUKlSD2ti0NCGU6xcJQmJRPEOU3pH8kAfnKFNciWPR1S0VPeU/KgPrtwVGxrR4JUzXCS6Wuxtko2iWdu1WSXf9/H53tx2d2eZ3Z3dmd336/kHj9lhfnx+zMznPTOfmYm5AAAAAACqitE6AQAAAADRBgEWAAAAgMoQYAEAAACoDAEWAAAAgMoQYAEAAACoDAEWAAAAgMoQYAEAAACoDAEWAAAAgMoQYAEAAACoDAEWAAAAgMoQYAEAAACoDAEWAAAAgMoQYAEAAACoDAEWAAAAgMoQYAEAAACoDAEWAAAAgMoQYAEAAACoDAEWAAAAgMoQYAEAAACoDAEWAAAAgMoQYAEAAACoDAEWAAAAgMoQYAEAAACoDAEWAAAAgMoQYAEAAACoDAEWAAAAgMoQYAEAAACoDAEWAAAAgMoQYAEAAACoDAEWAAAAgMqiP8CKiYn+PAIAqC4UB88jR44sWLBg0iWHYtVoCyDMon+Dk9upsLMBAPgQioNkYWHhyy+/rMmqccwPAAotGNFfdv6eKh06dGj58uUGgyEjI2P9+vVnz551/a/NZsvKynKdZWxs7L777psxY0ZaWtoTTzwht5bx8fFNmzYZjcbU1NT6+nr6Kf3rnXfeWblyZVJS0pw5c/bu3et1drlUyS1Wbry/y/F3+pi/lJKSIl/wfife3zIMYDnMS17w3MjdFh6KGgwPt51dylFsbOzs2bMrKipGR0d9zB5A+q1W64MPPmgymRITE2mukpKSAwcOeE2M20ga+OY3v+m6Chq+4oorXCeQ/jU8PHznnXfSUWjKlCn5+fk///nPxfjPPvuM0rlgwYJp06bR2u+4446enp5J0+yZmIAn8ERb5pdffhn8qgMQ6ljBR12ToaGhW2+9NXkCDfzud79zTZjXXUx59b3//vulpaXGCTRAPz2nCWeohLBMiP5S8PcYsWLFioMHD9rt9tOnT2/YsGH16tWu/6X9Z/v27a6zVFZW0nH51IS77777n//5n72upb29fdGiRR9MoIHdu3eL8SdOnKDGbP/+/Z9++ulHH310zz33eJ1dLlVyi5Ub7+9y/J3e1c6dO+vq6rxmJ7DE+1uG/i4HJS94buRyO5FaNRg2ngGWGPj666//8Ic/PProo4WFhT5m9zf9H3/88dy5c2mxx48f/9Of/kRR8muvvXbLLbd4TYzbSBqgUOnVV1+V/vXKK6/QGM8A67333qPosKWlhTZ+il1++9vf3nXXXeJftK7vfe97NMGf//znM2fOvPjiizfeeKPvNHtNTMATBDxLxAVYvut6ZGRk5syZO3bssE6gPZR+0kjfCVNefYsXL37sscfGJmzZsoV+ek6DACv8IrgU6FDyyCOPzJ5AA9JZEVUtbb6ZmZl0Vip+/vjHP541axad3j300EO0pUqTXfjLUwfPVZw7dy4pKUn6SXvO/PnzHQ6H68SXXHIJNYFimGIsuQM0bfHUXophGli6dKkYpmigra3Nr4y7pkpusXLj/V1OwNNTOc+bN48OOj4y4m/i/S3DYArHq6gv+QsyG7nc4VKtGnTjdDq3bduWnZ1Np+MUN4iRPvb3Xbt2UdtmMBgKCgqGhobEeDrXv/baa2kk/UtEQp47u1u+Pvvss2nTptFAdXW165nS3r17aYzv9HstogceeIBaO695lJvFNW0vvfSS6yoodz//+c89E//d7363qanJ6yooO5QpuQS4rtTHQfKCTOH7Pnj6O4vncdtrtcptBq7ojItCTMpLSkrKt7/9bZvNpiQ7vldKGwAtkKanggqgru+99163+xuPP/74mjVr3BLmRmH1kenTp9NRQgx//vnn9NNtAq8bv2uBT1podBLy93//9yaTKTU19f777//iiy/EeM+91XNdShrrb33rWy+88IKUYDpbyMjIUJh93YrgAIsqtbi4eHTCTTfdRNurGE91dscdd9D5qPSTJvt4Ag00NjZK490GPJnN5qKiIunnqlWrnnvuObdZKMCicwsxTJEWbWReF0VbrbTJ0vTSZLTBUUZoS6It+7777qPzj0kz7poqucXKjfd3OQFPT00a7YS+M+Jv4v0tw2AKx6uoL/kLMhs5DaelpdFROzc39+mnn/7qq68CKwSFJU/hAuX35MmTn376aW1trRjpY38vKyuzWCx0xH/yySeliIS2h66uLjqU05F6/fr10sSuK3JtPKxW6+bNm8UVAoowli1b9uKLL9JwZ2cnDZ8/f953+r0eRigN1G55zaPcLK7HJUrVggULfvOb39DP3t5eGqYxngcu2v693hIit95669133/3GG2/86U9/kkvGBQUHSR+FL7dMf2fxPG57rVa5xbq6+uqrf/WrX1GWqXmuqampqqpSnh2vK21oaKCS/MOElStXBlDXVEe0PbuOoZ/p6em+y0Rh9ZHy8nLKBeWXjn6UWvrpOY3nxu9a4JMW2o4dO26++eYPPviA9koKDX/4wx+K8V73Vrd1KWmsDx8+fMUVV9AWLv5F+2xzc7PvXOtfBAdYl1122bvvviuG6VSDTrvFMNXZhx9+KE1GP6XJ/vM//9N1MrcBN8eOHZs3b560z7z++us33HCD6BLhOsvatWvp7OT0BDqVTEhI8Lq0uLg4cYwmNBAfHy+GaYA2VjF7RUVFZWWl71y7pUpusXLj/V1OYNPTTnL55ZcfP37cd178Tby/ZRhw4XjFoeTlNnKBgpWBgQFqdaTDqFo16CYnJ0e6eCDxsb9TbCSG//jHP4pLUCQrK+uZZ575/e9/77oQzzbGFZ2a0yFC/OvUqVNU7PX19fSXhv1Kv4SOBq5No+/rZ24jxcBPfvKT22+//cLE3aKf/vSnnhOItTgcDq8J+Pzzz6ltu+aaawwGAxVgXV2d10sCkx4kfRS+XN79ncXzuO21WuUWK4dKIDMzU3l25FY6PDwshmlGr1nwXde0qbjVEU0sNRYxHqTEK6m+C/97g1LMSwNS2OTKc+N3LXBXXgtt4cKF//Vf/yWGaY+gtYhhr3ur27oUNtbXX3+9OLt77733KAFUBV6TF0EiOMCibU7aZGmAfophqjPXnqH0U24ytwFXdL6YnZ199OhRacxVV13V19fnOcsnn3xCcRUdmukc5amnnnI9KXHdVXyc07teAEtLS/M6u1yqArtUoHw5gU1PJ/233Xbbhcmodf1DrgxVvILFpOTlNnJXH330UTA15XW829buumtLfOzvrpNJP99+++2ysrJLLrlkwYIF0n09uYlFeh577LHly5dLY+g8myaQ7lH6SL8cOhp4XtWQVpqYmOh2h4vyRTGc62Q0QUZGxvPPP09/pbtsbsvxcQVLQodEipzWrVvn1qlUWpTvslVY+K78ncXzuO32X9+LdUWnAVSPdEwWG5UUB/ubHdfppZpyu3su8V3Xs2bNCuAKlsSz+tx2meLi4i1btkh9sOin50I8c+da4JMWGoWbriGgtKF63Vvd1qWwsTabzd/4xje++uqre+65h86OfJdJRIjgAEvhGZLryRkNeE4m7kC7olZqzpw5b731lttyvJ5kuPqnf/onCra8plau90ZhYaFrFy4pOPDkNVUBdHbxazkBTE/y8vLeeOMNuYwEnHh/y1CtPlh8Sl7JRj46OkotemCFoLDkKSTy6wqW62RuP+nw3d3dLbVkbju728Tnzp2TLlq88847dA798ssvX3rppVJnZH+3HGoR6+vr3UZKK73iiit++9vfuv6rv7/fZDK5TfajH/0oISFBul3iGWDRMWf79u2+UyJQ63vRRRd5jp/0IClX+J4HT0kAV7CU/FRyBYtG7tu3j059qammv54l5u+2pOQKlu+6pojBsw/Wvffe63W9cuSq78JE9OO7D9aFyTb+SQuNQh+LxeK5WK97q9u6FBY47a10jrdx40baC6SOgBEtggMsOt2UbutS6N3Q0CDGe+4kK1euFN0LaMCzK8DMmTNdb6ns2LEjOztb2p28cl0F7SSUANr0X3jhhaysLOkiqptdu3Z5ff5o79690h3GiooKud4zcqmSW6zceH+X4+/05MCBA0uWLJEpuaAS728Z+rscr1iVvCvXjZxKlQ6LdMijPYV2uocffjiwQlBY8k899VRRUdH777/v2qtD+f4upZmO6ZRmCrAoThUj3XZ213nPnj27bdu2goICGv7iiy/oQP/v//7vNPzqq69ee+214u6Pj/R7bSM//PBDWrX0ZBll57XXXpOmpPMxWsu//du/fT6ht7c3Nzf3H/7hH3ws8IK3AOu9996jCHLnzp1UMl9++eXRo0elpwhvvPHGF198kc46zp8/T2nesGHDrbfe6nWZvg+ScoXvVp6uFNaXXAHK/ZRbrCsqjVdeeYWKgjYhKgrPEvN3W6LppT5Yt9xySwB1Te0CnfhRHUlPEdJP6YqXXJkorL4LE6E/5UJcwdq6davX0N/Hxq+k0FpbW6nQaAm0T/3ud7/767/+azHe697qti7lGwOdVdLIPXv2uI5UGIDqUKSm+8LElUY60IsHE2hAugLpuZOIB2RSU1P/5m/+xvX5BTFALZnRaHTdntzY7Xa3Vbuuglp32q/ojGHFihXHjh2TSy3F5hSYi/eUbN682fW6KB3OaGej5K1du1auk7tcquQWKzfe3+X4O/2FietJZrNZrhyUlIm/4+XKMIDlMC95t4xLwy+99NLVV189depUOvWkY6W0r6lYg66oOaFGIjMzkyqUmiIxUvn+LgbohIfOuQ0GA4VHv/rVr8RIHzv7jBkzbr/9dnEf57777hMdngRKg4jafaQ/RqYN+Oijjx544AE6RCQkJFxyySXf/va3jxw5IpXGz372s/z8/Isn0MC+ffsmXWCMR8t3YeLZT1oypWrKlCnXX3+99B6sf/3Xf6XxVIxUDvPmzXvooYc++eQTr8v0fZCUK3y38nSlsL7k8iv3U26xruhMg6o+MTGRTlGeeeYZzxLzd1uiCb7//e9T4VAR/d3f/R0t2WsWfNQ1+Y//+I+SkpKkCRSlvfPOO64rciPGK6y+CxNBNi1cbEgUhLndjhQ8N36/Cu3rr7+m8QsXLqTjAJ0YSIcar3ur27qUbwy06S5YsMDpdLqOlNtm9C9S0w0AAKqI3AYs/ChOolhH61SEyVdffSX32FaI3Hbbbc8//3w41xhS2K8AAFhDgDWp2tpaq9X64Ycf3nzzzX/7t3+rdXLCZGBgQHpaMNS+/vrrn/zkJ1dddZX0poYogP0KQs7zArgOD+gRkUh/RWWmQHXYKibV2tqamZk5a9as733ve1Hw+gCFkpOTn3322fCsizZCk8lEIV14Vhce2K8AAAAAVIYACwAAAEBlCLAAAAAAVIYACwAAAEBlCLAAAAAAVIYACwAAAEBlXAIsr8+rAwAAQJhpHRGECZt8sqlRAAAA3eLTHLPJJ5saBQAA0C0+zbGO8jnpxcNDhw4tX77cYDBkZGSsX7/+7Nmzfi1cjTQCAABA4Pg0x7rLp4+iX7FixcGDB+12++nTpzds2LB69WpVFgsAAADhwac51l0+FRb9uXPnkpKSVF8sAAAAhA6f5lh3+VRY9GazuaioSPXFAgAAQOjwaY51l08lRX/s2LF58+adOHHCc148FwoAAKBbfJpj3eVz0qLv7e3Nzs4+evSouosNj76+vnXr1r399ttaJwQAAEADOmmOw0B3+fRd9J2dnXPmzHnrrbfUXWyo2Wy21tbW/Px8cS0tLi7upz/9qdPp1DBJAAAA4YcASzOeRS+N2bFjR3Z29vDwsCqLDQOHw0ERYWlpaUJCggitEhMTpVuWFG/19fWFP1UAAABaQYClAbkuU9KwZ7cqu92ufOHqp9iD1Wrt7e29MHEfs6qqKjk5WaSTAqyysrKurq5Tp051dHQ8++yzmZmZ4l9r1qwZHR0NQ9oAAAA0hwAr2oShRo8dOzZlyhRakdFolELAgoKCtrY2m83mNrHD4WhoaDAYDDQNxWFNTU00RuGKaMqenh7cYQQAgIiDACvaqF6jFoulu7u7paWlsrIyPz9fulglmEwmip9GRkYmXUh5ebmYJScnx2w2T7peq9W6YMECmv6OO+5QKSsAAABhggAr2gRfo6dOnVq7du3tt9/uGU4J6enp1157bUFBwaFDh/xack9PT25urlhIcXGxayczh8MxODjY0dFRW1tL/0pLS5NWN2vWrCBzBAAAEGYIsKJNkDXqdDrnzZvnFk6VlJRQ3NPe3t7f3z82Nhbk8tva2sS9xdjYWBooLS2lqEvqHS+hf1133XVifHd3dzArBQAACDMEWNEmyBptamoS8U1cXByFNUGGU3JsNtvNN9/sFlFRmFVeXt7c3EzrlbrDt7S0iCDPs3cXAACAbiHAijbB1GhfX1/ChEcffbS/v1/FVHmi0G3JkiXZ2dk7duwYGBjw0fO9qKiIMkWxV0jTAwAAoCIEWNEm4BqliEe8UqG+vl7dJAXJYrGIrmD79+/XOi0AAACKIMCKNgHXaFlZGc1bWFiow9cidHR0iF5ZeJMWAABEBARY0SawGm1raxMRjMViUTtF6igtLRXPHmqdEAAAgMkhwIo2AdTo4OCgeBGoktdTacVms4l3N1AsqHVaAAAAJoEAK9r4W6N2u33hwoU0V3V1dYiSpJauri7xOvjAvtIIAAAQNgiwoo2/NVpZWUmz5OXlKf+CjYZEagsKCnTYUQwAAECCACsauL1QSvmMnZ2d4prQ0NBQ6JKnIulRx6amJq3TAgAAIAsBVrRRXqMjIyPi9Qd79uwJaZLU1dvbS2lOSEgYHBzUOi0AAADeIcCKNgpr1Ol05ufn08QVFRWhTpLqampqxJvfI+K2JgAAMIQAK9oorNHa2lqa0mQy2e32UCdJdRRXiY75dXV1WqcFAADACwRY0YZqdMWKFT/72c96e3uHh4c9P+E3Njb21FNPibtsAwMDmiQyeP39/eKrPpRNrdMCAADgDgFWtInxxmQy5efnl5SUVFZWGo1GMbKlpUXrxAalsbGRcnHxxRfv2LFD67QAAAD8BQRY0YZqNCkpqaysrKioKCcnRwqn3MycOVPrlAbL6XSmp6eL7IT609QAAAB+QYAVbahG3d4RRT8tFguFIN3d3R0dHQ888EBJScm7776rVQpVtH37dspvbGzsiRMntE4LAADA/0GAFW341KjwV3/1V3gtFgAA6A2f5phNPtnUqCBei5Weno5XNgAAgH7waY7Z5JNNjUoKCgoo162trVonBAAA4P/j0xyzySebGpWYzWZcxAIAAF3h0xyzySebGnWVl5dHGe/o6NA6IQDwPywWy1NPPVVTUzM2NqZ1WgC0wac51lE+J/0q8/j4+KZNm4xGY2pqan19Pf30a+FqpDHCdHV1UcZzcnLcnqAEgDCgcKq7u7ulpaWysjI/P1985FS48sorsVcCT3yaY93l00fRt7e3L1q06IMJNLB7925VFhvF6AhO0RUuYgGEx6lTp9auXXvHHXe4hVOub9qLjY0Vw3SWqHV6ATTApznWXT59FP3ixYsPHjwohmlg6dKlqiw2ulFoRXnPy8vTOiEAUY7OZ+bOnesaTqWnp5eUlNTW1tLJYX9/v7gtODQ01NTUlJCQQBPs2bNH61QDhBuf5lh3+fRR9CkpKdI3BM+cOWM0GlVZbHSjg77JZKLsm81mrdMCEM0obBJxVWJi4qFDh3z3sqLQKmbiy6f4bChww6c51l0+fRR9XFzc+fPnxTANxMfHe87rQwgTrW+tra24iAUQUn19feI767W1tQq/Fl9fX087Jp0oDg8Phzp5APrBpznWXT5xBUt1DodDfJ2wp6dH67QARKGxsbHMzEx/u1U5nc6ysjKaa+HChdKRDSDq8WmOdZdP9MEKBXERq6ioSOuEAEQhEScVFhb6+2Cg3W4X71KhfRMPFQITfJpj3eXTs+ilMbt27cJThIGhM2yj0UiFgA4fAOpqa2sTd/osFksAs1utVnGBubKyUu2kAegRn+ZYR/mU6zIlDY+Pj2/cuNE4YfPmzXgPll8aGxupEEpLS7VOCED0GBwcNBgMQT5EMjAwIN7p0NzcrGLaAPSJT3PMJp9salSOdBGLmgSt0wIQDex2+8KFC2mfqq6uDnJR4sNWeNoXOODTHLPJJ5sa9aG2tpbKoaysTOuEAESDyspK8XyuKp/7bG5upqUlJycrfAgRIELxaY7Z5JNNjfpgtVrF7Qw8Fg4QpM7OThEPDQ0NqbVMEbGlp6e/++67ai0TQG/4NMds8smmRn0TF7HQnRYgGCMjI6LXlLqvYnc6nUVFReJeIbpLQrTi0xyzySebGvXNYrGI1yFSC6F1WgAiEoVB+fn5dEipqKhQfeE2m01cZo6Pj7daraovH0BzfJpjNvlkU6OTErchgu+WC8CTuAxsMpnsdnsolr9///7p06eLF5AixoLow6c5ZpNPNjU6qZGRkYSEBDpLxrEbwF+HDx8W3xAMaVd02jfF84mZmZnoMQlRhk9zzCafbGpUifLycioQOhHXOiEAkeTOO++MjY2lfaelpSXU6xobGyssLBR93vv7+0O9OoCw4dMcs8knmxpVYnBwUHTy+PWvf611WgAig9VqFd3P09LSwrNGu91eWloqnlXENxggavBpjtnkk02NKkFNhTgRnz9/vtZpAYgA0j07g8Hw0ksvhW29TqezoqJC3JTs6uoK23oBQodPc8wmn2xqVAk6amdnZ4vT8e7ubq2TA6BrUnSlVa9z0a2eYqy2trbwrx1AXXya42jOp9zHDeHCRIy1detW0cPDZrNpnRwAndI8uhLEe95JU1OTVmkAUAWf5phNPtnUqF/EWw3Ly8u1TgiAHukkuhLa29sTEhLweApEOj7NMZt8sqlRv1gsFvFC6v3792udFgB90VV0JXR1dYkYi06KnE6n1skBCASf5phNPtnUqL86OjqocIxG4+joqNZpAdALHUZXQl9fX1JSkthnT548qXVyAPzGpzlmk082NRoA8Sh4cXGx1gkB0AXdRlfCli1bRH+svLw8XMeCiMOnOWaTTzY1GgCbzZaWlkZFhGeUIPzGxsYmfSt6iD5K45XOoysyOjqam5sbHx9Piayvr9c6OQD+4dMcs8knmxoNTFdXl3ifIb7LAeryeomFRlosFoqrXnvtNfHdvZUrVzbKWLVqVVxc3C233BKG1Oo/upL09vaK/lh79uzROi0AfuDTHLPJJ5saDZj4CHRBQQFuOoBa9u3bl5SUdOmll65du7a0tLSwsNBkMonnKgJQX18/NjYWutRGUHQlUGgl3o+F97xDBOHTHLPJJ5saDRg1XZmZmXjRDgTPZrO1trbm5+f7iJYo0srLyysqKrrpppuuv/76uro6uStYFPqLW9iiZzeNUT3MopOKN954gwLBCIquBAo6RbHg2jNECj7NMZt8sqnRYNB5sDghHhwc1DotEHkcDkdnZ2dpaam4dUUuuuiiWbNmUSDV0dFhNptpA7NYLIGFR7RNlpWVqRtmUWLa29vLy8tpgVLkd/jw4SAXG04UGopiobgQbwyGiMCnOWaTTzY1GqSamhoqq9zcXGostU4L6B217iIWp8ipqqpKuvdHARa1+l1dXapvRcGHWXa7nUK96urqnJwc1ytqFAiKgUl73OsN5YhCWEp5UVER7u+D/vFpjtnkk02NBolaRNENpa6uTuu0gN5RIB4z8WyEFKYUFBS0tbWF+lKK8jDLarUODQ2J+C89PZ22benqmpi3vLy8vb3dYrFQaEIRYU9PT0hTHiKUTcod5aiyslLrtABMgk9zzCafbGo0eP39/QkTfvGLX2idFtAjzy5WJpOpoaFhZGQknMlwDbOmTZtWWFj4wx/+kCKM4uLivLw80aHQE23YNCXFZLSdR9P1noGBARHpNjc3a50WAF/4NMd6yef4+PimTZvohDI1NbW+vp5+ek7z/vvvl5aWGifQAP1Uvnw+NaoKan6oxGJjY6+++mqt0wJ64dnFilr0b37zm/v27dMwVRRmLV261GssRdLS0hYuXFhUVETppGTfdddd4XylVpiZzWaRaxrQOi0Asvg0x3rJZ3t7+6JFiz6YQAO7d+/2nGbx4sWPPfbY2IQtW7bQT+XL51OjqqAze6nbbwQ9UQXqcky4EMYuVoEZHh4Wb91ct25dR0fH4cOHBwYGLBaL22Q6SW1INTc3i8A34nqSAR98mmO95JOipYMHD4phGqBTUs9ppk+ffu7cOTH8+eef00/ly+dTo2p55ZVXYmNj4+LihoaGtE4LaIDq/aKLLqK9THTuCWcXqwCMjo5iQxXEC+2o1o4dO6Z1WgC84NMc6yWfKSkp0lH7zJkzRqPRc5ry8vLHH3/8s88+Gxsba2hooJ/Kl8+nRlVUW1tL5VZYWKh1QiCsBgcHaf+aOXOmtl2sIDBOp7OoqEhU3COPPKJ1cgDc8WmO9ZLPuLi48+fPi2EaiI+P95zm448/njt3rjhw0MAf/vAHtwnk+mEIIc9D1KFAVly92L9/v9ZpgZATcZXrywumTp16+eWXv/7661onDfxDJ6vinmlaWprWaQFwx6c51ks+lVzBKi4u3rJli9QHi34qXz6fGlUXhVbidkNIP1ECGvKMq6hVrqqq6unpiaaH7LjZuXOneBYBZ0egN3yaY73kU0kfrGnTpqEPVvgVFhZS6dXW1mqdEFDTq6++et1114mPwyCuikodHR2iwzvu7YKu8GmO9ZLPXbt2yT1FKFUGBWF0qi2uYG3dutVrECaHT42qbmhoSLwWC52Io8Pg4GBFRUVsbCziqqhHFU1VnJeXh8oF/eDTHOsln+Pj4xs3bhTvuNq8ebPre7CkynjvvfdKSkounnDrrbeePHlS+fL51GgooLd7dOju7pa6P8fFxdHfa665Bk1vFLPb7eLmL65Ag37waY7Z5JNNjYYCertHNIfD0dHRIT5rEzPxfZi6ujqr1TowMIDoKupRLYvOWBRea50WgP/Bpzlmk082NRoi6O0eiaiympubpRdZZWZmtra2oga5oUoX94JHR0e1TgsAo+aYTT7Z1GjooLd7pHA6naWlpRkZGdOnTxehVV5eHoXIuF7FVklJCW0GRUVF2AZAc3yaYzb5ZFOjoYPe7hHB4XB8//vfl54NpJa1p6dH60SBxmw2m/j6dWNjo9ZpAe74NMds8smmRkMKvd11rru7W3qj1bRp05577jmtUwR6QXG2OEHq6+vTOi3AGp/mmE0+2dRoSKG3u24NDw+L20Bk4cKFuGoFnhoaGkRXPB1+TRL44NMcs8knmxoNNfR21xuqiLq6OvGkmNFobG1tRT8b8Io2DNGTsqysTOu0AF98mmM2+WRTo2GA3u76sWfPHnFNkQKsqqoqXJkA30ZHRykKpw2GAnGt0wJM8WmO2eSTTY2GAXq7a44Cqf7+/vz8fHFPkELegYEBrRMFkcFsNtM2YzAYBgcHtU4LcMSnOWaTTzY1Gh7o7a6hp59+WvrQTWZmJvrDgb9qampo45kxY8aePXu0Tguww6c5ZpNPNjUaHlJv9y1btmidFnaysrJEdPWDH/zAbrdrnRyIPA6HY/bs2WIrwnUsCDM+zbH6+aRdt6GhYf78+QaDgf4+/vjjX375pepr8RefGg2bHTt2iAP0M888o3VaGBH3dxITE7dt26Z1WiCCPfHEE2L/ffPNN7VOC/DCpzlWP58PP/zw8uXLh4aGKNKivzfddNMjjzyi+lqUiPlLmqQhig0MDEgvBcBja+FB+5TJZKIyb2tr0zotEPFWr15N21JlZaXWCQFe+DTH6udz9uzZrl+8omEao/pa/MWnRsOJmvmUlBQq2/Lycq3TwkJ9fT2Vdn5+PiJaCN7IyIjBYMBdQggzPs0xAiwIysDAQHJyMt7aEAbDw8Pi4c3+/n6t0wJRQjytUlxcrHVCgBE+zXFIbhHS7vruu+86HA76S8Na3SJ0xadGw6+vr0+85bKpqUnrtESzoqIiKuTq6mqtEwLRY2xsTLwWC6/+h7Dh0xyHpJP7Y489dtlllxkMBvq7bds2dHKPel1dXSLGQt+gEBEv0E9LS8ML9EFdzc3NtGnl5eVpnRDggk9zzCafbGpUK+3t7eJ94hRsaZ2WaINPQELo0ClxZmYmbV0dHR1apwVY4NMcs8knmxrVkDgVphirt7dX67RElerqarzWFUKHQivawEwmEwVbWqcFoh+f5lj9fA4NDS1dunTatGm6ekWCHtLAgegzm5ycjI7YahkYGBB924eHh7VOC0Qnp9OZl5dHe25LS4vWaYHox6c5Vj+fBQUFTz755B//+EfVlxwMPjWquYqKCirt9PR0BATBo5ZPfHCwvr5e67RANDt8+DBtZkajEZ38INT4NMfq59NgMHzxxReqLzZIfGpUcxQTlJaWis/kWa1WrZMT2UTPNpPJhE/iQKiJx1Tr6uq0TghEOT7Nsfr5nDt3rsViUX2xQeJTo3pA0UBhYaF4yfvHH3+sdXIiFYWn4hF6s9msdVog+g0ODtLGRmfIOjyAQzTh0xyrn89nn322rKxMb5cu+NSoToyNjVF0RcUeGxv70EMPaZ2ciLRmzRoqwNLSUq0TAlyITQ4fz4GQ4tMcq5PPmMmospYgU6h1EtihIDsxMVE8V4g7XP7q7e3F5QQIM3w8B8KAT3Osl3yOj49v2rTJaDSmpqbW19fTT6+TvfPOOytXrkxKSpozZ87evXuVL59PjerK008/LWKswsJCxFjKOZ1Ocf0PL8eHMMPHcyDU+DTH6uczNjY2gLna29sXLVr0wQQa2L17t+c0J06cyMrK2r9//6effvrRRx/dc889ypfPp0b1Znh4WLwkEzGWQg6H49FHHxU92PBRZwgzfDwHQo1Pc6x+Pi+99NL//u//9neuxYsXHzx4UAzTwNKlSz2noYgq4C+x8KlRHUKMpRxFVHPnzhU31tHCgSbw8RwIKT7Nsfr53Llz55133vnhhx/K3ebzKiUlxWazieEzZ87QKZTnNLNnz962bVtGRsaMGTPuu+8+v97XwqdG9QkxlkJHjhyJjY0Vr2bQOi3AFNuP5/T29jY1NeEAFWp8mmP18xlYJ/e4uLjz58+LYRqIj4/3nIZGrlmz5vSEiooKz0dddN7RnjnEWJPq7u5OTk6mIqJziTfffFPr5ABf3D6eY7Vaq6qqREsxb948HKBCik9zrJd8KrmCRdPQv8QwxVhpaWnKl8+nRvUMMZYPzc3NCQkJVDh0FsGkVQPd4vPxHAqtamtrxbOTEhygQopPc6yXfCrpg0UbPcVVYvjUqVMIsCIRYixP1JhVVlaKIzseGwSdEB/PmTJlyttvv611WkLCNbSicxvaB/fv39/Y2Dh79mwcoEKKT3Osl3zu2rVL7ilCqTL27t177733SrcI77//fuXL51Oj+ocYyxUd5cVb75OTk/HGdtAPi8Uigv7c3Fyt06Iyz9BqZGRE+i8OUKHGpznWSz7Hx8c3btxonLB582bXDvKulfH444+npaWlpqauXbsWndwjFw5hwtDQkMlkipn4biNe7Qi64nQ658yZQxtnYmJi1Lzt1ndoJcEBKqT4NMds8smmRiOF3g5hR44cqaqqOnr0aNjWKHVpLygo0NunpQAuTMRY3/nOd0S/QK3TEqyTJ08uWbJkypQpvkMrid4OUNGET3PMJp9sajSCSIewK6+80q/rkSqy2Wytra35+fnibkh8fPwvf/nLMKwXXdohIlgslij4eA5FillZWWIfp5DRd2glQYwVInyaYzb5ZFOjkeXpp58WR72ZM2eGswcSxTSdnZ2lpaUiyhGdeaVniGpqakJ3PEWXdogs9fX1tK0WFRVpnZDA0Y4m9rjp06f7dS6HGCsU+DTHbPLJpkYjS1dXl+vT0eXl5aOjoyFalzg+9vb2VlVViXtz4mZBWVkZJcNms+3du3fr1q3ifN1kMtGUqqfhzTffFGfS6NIOkUL6eE53d7fWaQlEX19fwoR//Md/DOBePGIs1fFpjtnkk02NRhan00lxxoEDB9ra2kTQQ4fy9vZ2ddficDgWLFgwZcqUtLQ0KZgrKCiglUpvX5PQ8ZT+pe6lLLcbkcTr1zYB9Im2XvE4YcR9HJOiQ/FW+vr6+oAXghhLXXyaYzb5ZFOjkWt0dLS0tFTEH3Qgo4NaMEujlqC/v7+5ubmkpGT69OlSZGMymRoaGnx3wqB5W1pagr+U5XkjMikpif5OnTo1dBfqAFRHe0ROTg5tunv27NE6Lf4pKysTx5MgQ0MpxpoxY4bqZ4Dc8GmO2eSTTY1Guq6uLnEgo/imsbHRr8Oia1Al3QSU+nhlZ2fv27dP+dKCuZQldyOSQi6K7fDMIEQcOlWgLZn2zQh6JqOtrU1cFFflNRN0QEhMTBS7c8RdydMVPs0xm3yyqdEoMDY2Jn0XbOHChRQzeZ2MwpShoSEKZX784x9feeWVl112mVtQlZeXV1tbazabA35EUeGlLCkllOysrKxLLrlk0huRABFHnG/QaY/WCVFkcHBQ7LkqdnZct26duA6t1gJ54tMcs8knmxqNGhSvUHQlwpRrrrlmw4YNlZWVxcXFFDaJThVeBR9UeXK9lLVixYr6+vpJU6LkRiRAZKFdMmbi+Qz9X4K12+3i6FFdXa3iYqWXr/b19am4WG74NMds8smmRqOJw+GgMEUulkpLS6NjaFFR0bJlyxISEijWOXXqVIhSQgfWhx9+eNKUfOMb34iJircyAnglujSpG7WEgngTCp0CqX5DU7y0oqqqSt3FssKnOWaTTzY1Gn2ys7Op+vLz8zs6Og4fPjwwMODZoyIM7ynt6ekR4dR3vvMdHynBQ0YQxUZGRsQrD4J8BiWkRHex5OTkoaEh1RdOGRcLj6C+aHrDpzlmk082NRp9KHii4EYPvUrNZjMdu/WQEgCtVFdX0+G0rKxM64R4RyGg6IsZugceRYeB/fv3h2j5UY9PcxzN+XS7j6N1cgAAIp7VahURTCjexBskOvkRb5urqKgI3Vra29tpFcXFxaFbRXTj0xyzySebGgUACKnGxkZx117rhLirra0Vj5iE9E792NiYeD4Rb7MLDJ/mmE0+2dQoAEBIORwO8bK6zs5OrdPyfw4fPhwz8ZKqgYGBUK+roqIiBt8SDRSf5phNPtnUKABAqO3Zs4cOqjk5OTrp671hw4b4+HhKUktLSxhWJ4I5yn4Y1hV9+DTHbPLJpkYBAELN6XTm5ubScbWhoUHzxz4sFovoaDtjxozwrJGyLN6BhxdiBYBPc8wmn2xqFAAgDLq7u0VYc8UVV2iYDOkrgYmJieH8hjpeiBUwPs0xm3yyqVEAgPBIS0ujQ2tsbOyvf/1rTRLQ19dnNBpjJj7nHOZX0OGFWAHj0xyzySebGgUACI9f/vKXqampMROfZm9vbw/z2ru7u8ULI8rLyzWJcvBCrMDwaY7Z5JNNjQIAhA1FNuLVo+LtU2G7jNTZ2ZmQkCBu0mnVCQwvxAoMn+aYTT7Z1CgAQJhRuCMuJuXk5AwODoZ6da2trSKkq6urC/W6fMALsQLDpzlmk082NQoAEH4jIyN5eXlhuF0oepcTCrNCtxaF8EKsAPBpjtnkk02NAgBoItS3C51Op1h+QkKCTno+4YVYAeDTHOsln+Pj45s2bTIajampqXSCQj/lprTZbFlZWf7WEJ8aBQDQUIhuF1J0VV5eLh7cM5vNai02SHghVgD4NMd6yWd7e/uiRYs+mEADPl5n8uCDD27fvh0BFgCAPql+u9ButxcWForoSm+hDF6I5S8+zbFe8rl48eKDBw+KYRpYunSp18mOHz8+f/58h8OBAAsAQLdcbxfOmTPnhRdesNlsASzHarU+//zzM2bMoOXMnj17eHhY9aQGCS/E8hef5lgv+UxJSZF2vzNnzhiNRq+TrVq16rnnnrvgfw3xqVEAAJ3YvHlzjIv09PTS0tK6urrOzs6hoSHxegX629/fL4YpRhkcHOzo6KitrS0uLhYvMpXs2rVL6wx5hxdi+YVPc6yXfMbFxZ0/f14M00B8fLznNK+//voNN9wgumd5raEYn0KafgAAcEOnzZdeeqnBYLjqqqtExyxXND4vLy87O5uGMzIycnNzxautXNHJ9nXXXTd16tRZs2ZZrVatM+QdXojlFz7NsV7yqeQKFu2i0t13XMECAIgI0r2zkZERs9nc2NhYVlaWk5Pj9UyYwqzy8vLm5ubu7m7p/VJ2u13zT0r7gBdi+YVPc6yXfCrpgxXMRSk+NQoAEBEobOrv79+0aVNBQcHWrVsHBgYitxsTXoilHJ/mWC/53LVrl9xThHJ3A/1aPp8aBQCAMMMLsZTj0xzrJZ/j4+MbN240Tti8ebPre7AQYAEAgJ7hhVjK8WmO2eSTTY0CAED44YVYCvFpjtnkk02NAgBA+OGFWArxaY7Z5JNNjQIAgCbwQiwl+DTHbPLJpkYBAEAT4oVYy5Yt0zohusanOWaTTzY1CgAAmjhy5Ih4hdC//Mu/aJ0W/eLTHLPJJ5saBQAATXR1dYkA64YbbtA6LfrFpzlmk082NQoAAJpwOBw/+MEPpkyZQi1OS0uL1snRKT7NMZt8sqlRAADQkNlsphYnISGht7dX67ToEZ/mmE0+2dQoAABoq6GhgRqd9PR0fJ3QE5/mmE0+2dQoAABoy+l0FhcXU7tTUFCg589Ua4JPc8wmn2xqFAAANGez2UwmEzU91dXVWqdFX/g0x2zyyaZGAQBADwYGBgwGA7U+HR0dWqdFR/g0x9Gcz5i/pHVyAACAFwqtqPWhMGtwcFDrtOgFn+aYTT7Z1CgAAOhHVVUVNUAmk8lms2mdFl3g0xyzySebGgUAAP1wOp35+fnUBpWUlKDD+wVOzTGbfLKpUQAA0JXR0dH09HRqhhoaGrROi/b4NMds8smmRgEAQG96enoSEhKoJeru7tY6LRrj0xyzySebGgUAAB1qaWmhlig5OXlkZETrtGiJT3PMJp9sahQAAPSpvLycGqOZM2e+/fbbWqdFM3yaYzb5ZFOjAACgT3a7PTExkdojo9HItsM7n+aYTT7Z1CgAAOhWbm6ueDVjeXm51mnRBp/mmE0+2dQoAADolsPhePbZZ5OTk6lVqq2t1To5GuDTHLPJJ5saBQAAnevr6xMPFTY1NWmdlnDj0xyzySebGgUAAP3r6uoSMVZbW5vWaQkrPs0xm3yyqVEAAIgI7e3t1DZRmEXBltZpCR8+zbFe8jk+Pr5p0yaj0ZiamlpfX08/Pac5dOjQ8uXLDQZDRkbG+vXrz549q3z5fGoUAAAiRXNzs4ixent7tU5LmPBpjvWSTwrkFy1a9MEEGti9e7fnNCtWrDh48KDdbj99+vSGDRtWr16tfPl8ahQAACJIbW2teAFpf3+/1mkJBz7NsV7yuXjxYgqexDANLF261Pf0586dS0pKUr58PjUKAACRpaKighqp9PT04eFhrdMScnyaY73kMyUlxWazieEzZ84YjUbf05vN5qKiIuXL51OjAAAQWZxOZ2lpKbVTmZmZVqtV6+SEFp/mWC/5jIuLO3/+vBimgfj4eB8THzt2bN68eSdOnHAbH+NTqJIOAAAQHLvdXlhYSE3VwoULpcsNUYlPc6yXfCq/gtXb25udnX306FG/ls+nRgEAIBKNjY1RdEWt1ezZs6P4HaR8mmO95FNhH6zOzs45c+a89dZb/i6fT40CAECEslqtRqNR3HW58cYb+/r6tE6R+vg0x3rJ565du+SeIpQqY8eOHdnZ2YH1AeRTowAAELmo+YuNjZU6t+Tm5ra3t9vtdq3TpRo+zbFe8jk+Pr5x40bjhM2bN7u+B0uqDM9uVcq3OT41CgAAEc1ms508ebKhoSE9PV00dtQy1tTUqPiMocVi2bJly9q1a3/zm9+otUyF+DTHbPLJpkYBACA6OJ3Ozs5O0fldKC4u7urqovEOh8P3vFarlSYTwxROdXd3t7S0VFZW5ufni09NSyiMW7NmTUdHR3geYOTTHLPJJ5saBQCAKDM0NFRdXS0FRlOnTk1MTLz77rsbZaxatYommzFjhmc4JaSlpYkBmsZ1fG5ubl1d3eHDhycN4ALGpzlmk082NQoAAFFpbGysra0tJyfH5yuJvEhPTy8pKamtrW1vb+/v76fl0NKGh4fF93looLW1lSZwDcUMBsOyZcvuuuuunp4edXPBpzlmk082NQoAANGtoqIiOzv7gQcekLuC9eCDD+bm5t57771SOKWEw+GgkKu+vj4/P981PjMajWVlZRSEDQ4OBp94Ps0xm3yyqVEAAIAg2Ww28VKuqVOnqhts8WmO2eSTTY0CAAAEz2q1trW1WSwWGujs7KyurhYhlyRlQlZW1i9+8Qvlb5/n0xyzySebGgUAAAgRuWBL9PQqLS2tq6ujCYaGhsQzjHa7XfT0EgYHB/k0x2zyyaZGAQAAwuDNN9+87LLLMjIyvD6raDAY8vLyLr74YhqmCRobG7/73e+Kf2md8DBhk082NQoAABB+IyMjZrOZAqmysjLfjzpqndIwYZNPNjUKAACgObvd3t/f//DDDy9ZsqSmpoYCr4aGhpUrV/Jpjtnkk02NAgAA6Baf5phNPtnUKAAAgG7xaY6jOZ88b/oCAADoFp/mmE0+2dQoAACAbvFpjtnkk02NAgAA6Baf5phNPtnUKAAAgG7xaY7Z5JNNjQIAAOgWn+aYTT4BAABAB7SOCMKESz6DFJ4NImybXTRlJ5rWErYVYS26XRHWotsVYS16XpE+sc68ctjosZYwrCVsK8JadLsirEW3K8Ja9LwifWKdeeWw0WMtYVhL2FaEteh2RViLbleEteh5RfrEOvPKYaPHWsKwlrCtCGvR7YqwFt2uCGvR84r0iXXmIaSY71p6hqrRLVSNbqFqwF/YYiBUcDzSLVSNbqFqdAtVA/7CFgOhguORbqFqdAtVo1uoGvAXthgIFRyPdAtVo1uoGt1C1YC/sMVAqOB4pFuoGt1C1egWqgb8hS0GAAAAQGUIsAAAAABUhgALAAAAQGUIsAAAAABUhgALAAAAQGUIsAAAAABUhgALAAAAQGUIsECR8fHxTZs2GY3G1NTU+vp6+in9K+Z/+Tuvj2WCcnLFeOjQoeXLlxsMhoyMjPXr1589e1b5vKgaVcgV44EDB5YtWzZ16lSqmnXr1p06dUr5vKgaVfguRpvNlpWVJXdMQ9WAQgiwQJH29vZFixZ9MIEGdu/e7TaBjwBLbt5JlwlKyBXjihUrDh48aLfbT58+vWHDhtWrVyufF1WjCrlivOmmm15++eWxsbFz5849+eSTFAcrnxdVowrfxfjggw9u375d7piGqgGFEGCBIosXL6bWWgzTwNKlS90m8DwYSWPk5p10maCEkmKkhjwpKUn6iaoJDyXFSBHw9OnTpZ+omvDwUYzHjx+fP3++w+FwO6ahasBfCLBAkZSUFJvNJobPnDljNBrdJvARYMnNO+kyQQklxWg2m4uKiqSfqJrwmLQYv/jiix/96EeuFxdRNeHhoxhXrVr13HPPXfA4pqFqwF8IsECRuLi48+fPi2EaiI+Pd5vAxy1CuXknXSYoMWkxHjt2bN68eSdOnFA+L6pGFb6LUfRcnDVr1sjIiPJ5UTWqkCvG119//YYbbhDdp+SOaagaUAgBFigSwBWsSefFCZ8qfBdjb29vdnb20aNH/ZoXVaOKSYvx888/f+KJJ771rW8pnxdVowq5Yrzqqqv6+vrEsNwxDVUDCiHAAkUC6IM16bzosqAKH8XY2dk5Z86ct956y995UTWqUFKMFGO5do+bdF5UjSrkijHGg/J5UTXgBgEWKLJr1y5/nyKUxsjNO+kyQQm5YtyxY0d2dvbw8LDnLKia8JArxrVr1x4/fvz8+fO///3va2pqvPbBQtWElJJilOuDhaoBhRBggSLj4+MbN240Tti8ebPX92C5nfBJw3Lz+lgmKCdXjJ7n4na7XfqX73lRNaqQK8aXXnrp6quvnjJlSlZW1oYNGz755BNpFlRNeCgpRrkAC1UDCiHAAgAAAFAZAiwAAAAAlSHAAgAAAFAZAiwAAAAAlSHAAkXkvhzs73dPlXyBOHSzu3X6TklJUat8AAAAXCHAAkXkvhzs73dPlXyBOHSzu9q5c2ddXV0wZQIAACAHARb4zfXLwcG8c8/tC8SuQj37n//853nz5n388ccyWQQAAAgKAizwm+uXg4P5aoTbF4hdhXr23bt333///TL5AwAACBYCLPCP25eDA/7uqY8vEId69q+//vryyy8/fvz4ZHkFAAAIEAIs8IPnl4MDu4LluRy3F8GHdPbOzs7bbrstgOwDAAAohAALlPL65eAA+mBN+gXikM5O8vLy3njjDR+zAwAABAkBFigi9+Vgf7976uMLxEoWG+Ts5MCBA0uWLFGecQAAgAAgwAJF5L4c7O93T318gdhViGYnhYWFZrNZ3cIBAABwgwALAAAAQGUIsAAAAABUhgALAAAAQGUIsAAAAABUhgALAAAAQGUIsAAAAABUhgALAAAAQGUIsAAAAABUhgALAAAAQGUIsAAAAABUhgALAAAAQGUIsAAAAABUhgALAAAAQGX/D8cSQQ1rMmN3AAAAAElFTkSuQmCC)
| VMR Tools created by Darren De Zeeuw. |