Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Emily_Hyatt_022412_4 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | June 21, 2004 |
Start Time | | 2004/06/21 03:40 |
End Time | | 2004/06/21 04:00 |
Key Words | | MagnetoSheath |
Model | | OpenGGCM |
Model Version | | 3.1 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSE |
Dipole Tilt, in the X-Z Plane, at Start deg | | 13.62 |
Dipole Tilt, in Y-Z GSE plane, deg | | 3.07 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 33 |
F10.7 | | 120.00000 |
Conductance Model | | auroral |
Corotation | | no |
Run Number | | Emily_Hyatt_022412_4 |
Minimum Dst Value | | 16 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | NO |
|
View interactive javascript plot of satellite positions during this run in a new window.
Satellite data B plot for Geotail for time period of this run.
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUARnJpIEp1biAwMiAxNjo1NjozMyBFRFQgMjAxNysyOX4AAAGbdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoiR2VvdGFpbCAocGxvdCBvZiBJQl92ZWN0b3IgR1NFIGZyb20gY2Rhd2ViLmdzZmMubmFzYS5nb3YpIiwgCiAgICAieGF4aXMiOiB7ICJsYWJlbCI6IiIsICJtaW4iOiIyMDA0LTA2LTIxVDAzOjQwOjAwLjAwMFoiLCAibWF4IjoiMjAwNC0wNi0yMVQwNDowMDowMC4wMDBaIiwgImxlZnQiOjEwNCwgInJpZ2h0Ijo3MjIsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiVVRDIiB9LAogICAgInlheGlzIjogeyAibGFiZWwiOiJuVCIsICJtaW4iOi04MDEuMCwgIm1heCI6ODAxLjAsICJ0b3AiOjUyLCAiYm90dG9tIjoyMzUsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiMC4xblQiIH0KICB9CiBdfQyvqQgAAAAEZ0FNQQAAr8g3BYrpAAAvjklEQVR4nO3dD3SU1Zn4cUhsBdlmZ2iUhUKAZVnd06Vbc3Y5pEkLIlIRira1bljxD1IXl9qjq80fDGB1V6Vb4VRXm2yzdGsXK657WCwQFBVrpboiIBUaDIY/aQiQmUBCwh8TYOb3nNzfzplm3vfNTHJvknfu93M4nDs3M+99n/veeZ9n3kxmBkUBAACg1aD+3gEAAIB0Q4EFAACgGQUWAACAZhRYAAAAmlFgAQAAaEaBBQAAoBkFFgAAgGYUWAAAAJpRYAEAAGhGgQUAAKAZBRYAAIBmFFgAAACaUWABAABoRoEFAACgGQUWAACAZhRYAAAAmlFgAQAAaEaBBQAAoBkFFgAAgGYUWAAAAJpRYAEAAGhGgQUAAKAZBRYAAIBmFFgAAACaUWABAABoRoEFAACgGQUWAACAZhRYAAAAmlFgAQAAaEaBBQAAoBkFFpCUQYOcnyyPPfbY7Nmze/bY3njnnXcmTpxoYsvpauDMmIl90L7NgTNd2s2aNeuJJ57o771A+kvDJw+gUSzBOGaa06dPZ2dn79+/P8mNaFRQULBu3Trtm01jA2fGfFFgDZzp0m7fvn2XX3752bNn+3tHkOYosOAnx44dW7x48bhx4z71qU8Fg8Hrr79+06ZNPdtUqgnJ8f4///nP586d2/uxepAds7KyPvnkE49NDfo/gwcPHjFiRGFhYX19faqjpERLjvc4xC0tLaWlpRMnThw6dKj86MYbb3z99ddjQ3eRuGW3Get7viiwBs50mTBr1qwXXnihv/cCaY4CC75x5MiRsWPHPvjgg9XV1fLqs6mpacOGDV/96ld7tjUtBda3vvWt//zP/+z9WD3Ijm4PSbzkdvHixYaGBpm3goKCVEfRskvJ8z7E0rj77rv379/f3t4eCoVefPHFqVOnJj/0wPltly8KrIEzXSb8x3/8x7x58/p7L5Dm0vkphDRz1113LVmyxO2nUkb80z/907hx44LB4IIFC06fPq365VX4fffdN6KTNNSL8sRLHTU1Nd/85jeHDx8uL9y//vWvh8Nh1e/9K8Lx48fX1tbGbsp9fvCDH1xxxRWyne985ztSB3R5bJI7Ey/Vh7jtcEtLy9ChQx2n7sSJE9nZ2SdPnozvkSikx21Wz58/v2zZspycnEAg8OSTTzrukuOeq3uuWrVq9OjRgwcP7rIn3odY9l+icPxRMiVs/O512QePXf3xj38sR/nTn/705z//+bffflsS88SJE4cMGTJlypR9+/YlDpQ4M0JWwuLFi2VVyPb/5V/+xXvVTZgwYe/eveoOP/vZz1RDeqQ/6r7O3dZePInrnnvuUbshd47txuuvv3711VdLUFLdVlZWJk6XY1Bdpre8vFwermZmz549HgE6juhx52RCSDyCHqta2lKmq/kEzKHAgm+MHDlSTsFuP125cuW111578OBBOYHOnz//gQceUP2SGGbMmFHf6Zprrlm+fLnq75KSv/CFL2zduvXs2bOSwu+9995vf/vbXe7mmMIl5Z85cyZ2U+4jYx3pJI3vf//7XR6b5M7ES/Uhjlewjh07VlJSErvek0iS1ooVK2I3n3jiifvvvz/qPqv//M//PG3aNCkupV/dM3GXPPb8xhtvbGhoSNwN70M8a9asW265Zdu2bYnvnkn1ClaXffDY1dmzZ0uYUsc89thjn/nMZ+bOnXvgwAF103E+HWfm4YcfVgtDbT+2J46rTkoxqeqkIXeWEVtbW6X97LPPStkUdT8ibmsv3tKlS2UOGzrNnDkzthsy7f/93/8tRUldXd3ChQsTp8sxqC5ze9NNNx06dEhm5pFHHsnPz/cI0G1EtzsnE4LjEXRb1dHOd0+6vd4AdKHAgm9ccskl8Zm1y/WSq6666qOPPlLt48ePyytj1f7TP/3T3/3ud6otL6xjL1s9UvKpU6dGjx7d5W6O95eX4F0KrNhYsUsO8Y/twc6k+pD4HY4XDAZj10US7du3Lycn5/z589HOyxXjxo2TzBd1n9U/+7M/i12lSBy62z0/fPiw4254H2I5LpJH/+qv/kqmXTb+ve99L3ZBa1ACj5lJ3AePXT169Khqy4GWm1Kqxm46ZmjHmZENxm/fcfdiq+7ll1/+27/9W2lIcXD55ZerCzxSWf7yl7+Muh8Rt7UXT8KMXXWTO8d2Y8yYMU8//fTvf//7+DvH76RjUF3u3O3MxD+tHEd0u3MyITgeQbdVHaXAQp+gwIJv/Mmf/Eni5Y3YGVZOl/H5NSMjQ/VLMj537pxqS0Nudnmg8v7770+fPl2qEPXwzMzMLndzTIrjx4//+OOP43fGe6wkdyZeqg9x3OFQKFRWViYBuo0S7bw+tHbtWmm88MILf/d3f6c6k5nVxKG73fNIJOK4D96HOEYeLjXEHXfcEfuAjB5cwYrfhyQn2ftm4qbcth97oOOqa2trk7JAGpMmTdq4ceOXvvQlaUuP+m2g2xFxW3tddiP228/43di5c+dNN9302c9+duLEiVVVVYnROQaVzMy4Pa0cR3S7czIhuB1Bx1Ud7fwVodRkHhEBvUeBBd+QhFpaWtqlM3aGvfLKKw8dOpT4KLeLE13eACT9zz333IkTJy5cuCD/J5Ypjtn0W9/6VuxdMtE/vIogjeSvYCW+G6nb/U+pwBKtra3eL9lfffXVvLw8aUyZMmXXrl2q021WJS8mXtLoEkUPLtd5H+IumpubP/OZz3S7TcftJH+xzWNPHAd1nJn4K1hSGsYe6Lbqpk2b9uKLL06ePFna8v/69euvueYa9SO3I+K29rqE6Xj5R5GKU+o5qXETo3MMqsvojjfdAnQc0fvO3iG4HUHHVR3tfJN7YWGhR0RA71FgwTcOHz48atSo2J+YnTx5csOGDbEz7I9+9KMZM2bIj9rb2z/88EP1SxZRVlYWe3OGvD5eunSp6r/88svlzrGNy1n+f/7nf+TF8YEDB775zW8mWWD9/Oc/nzNnTuym3GfmzJnqfTDSSHy/VJI7E8/tISkVWE1NTcuWLZMc4/iQmM9//vP/+q//KsPFetxm9bHHHpMiQOYq/k05XaJIdc+j3R3iqVOnStlx/Pjxjo6OgwcPLlq0aNasWd1uM3FmEu+f5K4mU2A5zoxMfmxhyECxB7qtuhUrVnzuc597+umnpf3UU0+NHj36Bz/4gfqR2xFxW3vRP1x+sTcwffWrX431S6kh1YlsUModmf/E6ByDiro/O7oN0HFEtzsnE4LbEYw6rWoxe/bs559/PvHwARpRYMFP6urq7rrrLjkjX3LJJZ/97Ge//vWvv/POO+pHFy9elIR01VVXXXrppZMmTZIX/ar/3Llz3/3ud9WfF0kj9nuElStXBgKB2Al606ZNV1555ac+9amcnBzZTpIF1pkzZ7Kzs2O/1Rr0f3/JFQwG/+Ef/iH+j9FS2pl4bg9JpsCKGT58+Ny5c+P/4NFRZWVlRkaGvOiP9bjNqpQ4Dz30kCR+iXTVqlWOUaS654rHIX7jjTfkpow4ZMiQ8ePHf+c73zlx4kRisIrHzCTuQ5K7mkyB5Tgz6m/fpEfWRvxfEbqtug8++EDCD4VC0m5sbJT27t271Y/cjojb2ov+4fL7+7//e7Ubjz76qIyr+l944QXZDZnVq6++euvWrYnROQYVTaLAcgvQcUS3OycTgtsRjDqt6o8++ogPGkUfoMACeuXxxx+/4YYbVDuZ6yjAQPDb3/5WitT+3ote6XEI8oTlq3LQB8gHgDYUWBjg7r///mPHjh0+fPjaa6/9x3/8x/7enZ5IgxBgCfIBoI0vCqzE36b5YrehxY9+9KPRo0dfccUVd999d/wnjPhIGoQAS3BiBQAA0IwCCwAAQDMKLAAAAM38XWAdOHBgzpw5gU7SkJuqPxKJFBcXS2cwGCwtLY19ZLNbPwAAgEb+LrDy8vLKysqaOy1ZskR9Yq+oqKjIzc092EkasW9rd+sHAADQyN8F1mWXXaa+aj7a+eWgclO1pdKKfb+VNGJf7e7WDwAAoJG/C6ybb755+fLlLS0tzc3NS5culZuqPysrKxwOq3YoFAoEAt79qXL8Q3cAANCt3mV+3/B3nEeOHBk7dqw6YNJoaGhQ/RkZGR0dHaotjdi3srv1O2J9AACglz0J1N9xzpgxY8mSJbH3YMW+zrMPrmD1bscBALCRPQnU33EOHTq0X96DZc/6AABAI3sSqL/jlIJp6dKl6grWQw89FCuYysvLHf9a0K0/muIht2d9AAB86oMPPvj2t7+dnZ1t8O1UcQKBwF//9V8/88wz3ntlTwL1d5z79++//vrr/7jTrFmzamtrVX8kEikqKlKfj1VSUhL/OViO/VEKLABAernqqquefPLJ5ubmvhlOBlq/fv0Xv/jF119/3eNu9iRQW+LUy571AQDwKUlV58+f7+NBP/7443HjxnncwZ4EakucetmzPgAAPtVfqcp7XHsSqC1x6mXP+gAA+BQFVv+yJU697FkfAACfosDqX7bEqZc96wMA4FMUWP3Lljj1smd9AAB8qvepKvYRDIMHDx4xYkRhYWF9fX0vx7UngdoSZ+91+cCP/t4dAAC8aCmwVOPixYsNDQ0PPvhgQUFBL8e1J4HaEqde9qwPAIBPeaSqpp07W6qrU91CS0vL0KFDpXHPPff89Kc/jfWvXr1aepIZt9ufphNb4tTLnvUBAPApt1R1dOvWDZMny79ua6z4K1jHjh0rKSmZOnWq3Gxvb//KV77y4osvSnvt2rXS7ujo6HbcZH6aTmyJUy971gcAwKfcUlX9xo2qwApv397tFuIFg8G9e/eqHx0/fnz8+PGlpaXyv7STGTeZn6YTW+LUy571AQDwKbdUFblwQWqso1u3prSFUChUVlY2ffr0WM/y5cvlDk8++WSS4ybz03RiS5x62bM+AAA+pfFN7kpra6t6D5bYvXv36NGj161b97nPfe7jjz9Oflx7Eqgtceplz/oAAPiU3gKrqalp2bJlU6ZMkfbp06cnTZr01ltvSfuXv/zl1Vdfffbs2STHtSeB+j5OKaJnzpw5bNiwUaNGrV69WnVGIpHi4uJAIBAMBktLS+Wmd3+q7FkfAACf0vg5WGL48OFz586tra2V/ttvv/0nP/lJ7G6rVq1asGBBkuPak0D9HWdNTc2YMWPWrFlz8uTJurq6efPmqf6Kiorc3NyDnaRRWVnp3Z8qe9YHAMCn+CT3/uXvOKWieuaZZxL78/LyqqqqVFsa+fn53v2psmd9AAB8igKrf/k7zhEjRixbtmzkyJHDhw+//fbbm5ubVX9WVlY4HFbtUCgUCAS8+1Nlz/oAAPgUBVb/8necmZmZ8+fPb+xUWFh45513qv6MjIzYh55JQ+7m3e9okCdjMQEAoAEFVv/yd5xZWVmhUEi1pcbKzs6O9XMFCwBgMwqs/uXvOAsKCqSuUu3jx4/HCizegwUAsBwFVv/yd5yrV6++9dZbY78ijP2ZaHl5ueNfC7r1R1M85PasDwCAT1Fg9S/fx7l8+fLs7OxgMHjbbbfF3uQeiUSKiooCnUpKSuI/B8uxP0qBBQBILxRY/cuWOPWyZ30AAHxK4weNDh48eMSIEYWFhfX19b0c154EakucetmzPgAAPqXxq3IuXrzY0NDw4IMPFhQU9HJcexKoLXHqZc/6AAD4lEeqamra2dJSneoWWlpa1Jc9f/nLX37hhRdi/XV1dSNHjpSfdjtutz9NJ7bEqZc96wMA4FNuqero0a0bNkyWf93WWPFXsI4dO1ZSUjJ16lS5+corr/zFX/yFdKqfLly4cMWKFd2Om8xP04ktceplz/oAAPiUW6qqr9+oCqxweHu3W4gXDAb37t2rfvQ3f/M3zz//vDT2798/evToM2fOdDtuMj9NJ7bEqZc96wMA4FNuqSoSuSA11tGjW1PaQigUKisrmz59urq5fv36K6+88sKFC/PmzXv66aeTGTeZn6YTW+LUy571AQDwKY1vcldaW1vVe7CinR97NGnSpKKionHjxrW3tyc/rj0J1JY4e4/vIgQA+IjeAqupqWnZsmVTpkyJ9axdu1bu8O///u8pjWtPArUlTr3sWR8AAJ/S+DlYYvjw4XPnzq2trY399KWXXpo4ceL58+dTGteeBGpLnHrZsz4AAD5lOlV97Wtf+8UvfpHquPYkUFvi1Mue9QEA8ClzqerixYv/9m//NmnSpNgnNSQ/rj0J1JY49bJnfQAAfMpcqpItjxs37v333+/BuPYkUFvi1Mue9QEA8Cm+7Ll/2RKnXvasDwCAT1Fg9a90iDMcDo8ZMyb+mEUikeLi4kAgEAwGS0tL5aZ3f6rsWR8AAJ+iwOpf6RDn4sWLH3/88fhjVlFRkZube7CTNCorK737U2XP+gDs0X6xvfs7Dfgh+kDjucYLkQvmtt/c3rzmwJrqJL6KuMd2n9hd9H7RxvqN5oZo7Wjd0rCl6ZMmc0McPXNUJupQ2yG3O/Q+Ve0+ufu52ufk/5QeRYGl+D7O6urqCRMmnDt3Lv6Y5eXlVVVVqbY08vPzvftTZc/6gGlnz5+Vf0aHqD9db/QsL3Y27axtre3+fj0lGf3R3Y9W1vTwFVEy3g29e+0r185/a765Gmhb47apm6fe8es7zFUn28Pbb3zjxrKdZYa2L1469NLkDZPn/WqeuSFKd5TKEHI4zB2Lu39ztwxRsKnA3BAPbH9AhrjlzVsMbV/cte0uGeIbW7/hdofep6pfHPiFPO/k/5QeRYGl+D7OG264QX3fZPwxy8rKCofDqh0KhQKBgHd/qoyuD3ndIxnR3PaFnN9NJ3V5DSqvrowOIRlx69Gt5nKVnHmf3ffsU9VPmTsF15yqkYwricTjNWgvScaVU3DexjxzQ2w+slmGkH/maqyKjyrUELtPpPZKOnmr9q5SQ5i7cCI1oumJktJKDWHu2aeqH1lR8hw3NMSKD1fIELO2zDL37JaiQYa49917DW1f3Pe/98kQUu+ai0INISW72x00ftDo4MGDR4wYUVhYWF/ffXqiwFL8HeeWLVsmT56s3koVf8wyMjI6OjpUWxqZmZne/Y4GeTIST2d1JelWnjOStMwNMee1OfLSbXt336PeY43nGmX7EoXUQIaGkESrEsmWhi2GhojVDesOrzM0xMt1L6shzB1u2Xk1hLljoS5pyL89J/cYGmJb4zbJ6DNfnWkuqUsBes879/xwzw8NbT/aWU/f/Zu7pZIzN0QfXMGS6vDhXQ+be1JEO1/byBE3fdm1D7a/9uBao6+W5XWyvMiUU7rbHTR+Vc7FixcbGhoefPDBgoKC5B9laK/8wt9xTpo06e2331bt9LiCJScvlaue3fesoSF2Nu1UQ1R8VGFoCHXVRP6tObDG0BCSy00XWHIspEyUf+YuaciZUV6sS1I3d5FMTsHyYl0OhNFLfVIpyone0PYVSVfp8QYmoM94pCpJBMmc2bpsoaWlJfZlzx4XHSiwFH/H6XZhydfvwZKXhvIa1+irK9m+vMY1+iu852qfe6r6KXPXG6KdJwh5mWv6zbZGQwAAc9xSlbwcSvIX4vFXsI4dO1ZSUjJ16tQu9/nJT34yZ86cZMZN5qfpJH3ijD9m5eXljn8t6NYfTfGQ27M+AAA+5ZaqNtZvVAVWt28U6XIJIxgM7t27N/4Or7322tVXX93a2trlUT3Yq/STPnF2+RysoqKiQCepuOM/B8uxP0qBBQBIL26p6kLkgtRYyfxaP34LoVCorKxs+vTpsZ7f/e53EydOPHz4cJLjJvPTdGJLnHrZsz4AAD6l8U3uSmtra+w9WI2NjVdeeeW2bdtSHdeeBGpLnHrZsz4AAD6lt8BqampatmzZlClT1E1p/OxnP+vBuPYkUFvi1Mue9QEA8CmNn4Mlhg8fPnfu3Nra2sQf8VeEjmyJUy971gcAwKf6K1VRYCm2xKmXPesDAOBTFFj9y5Y49bJnfQAAfIoCq3/ZEqde9qwPAIBPUWD1L1vi7D2PN/QBADDQ9EuqCofDf/RHf+RxB3sSqC1x6mXP+gAA+JQUOvv27evjQe+///6bb77Z4w72JFBb4tTLnvUBAPCpO++8c/78+W1tbX0zXHNz8/e///3s7Ow9e/Z43M2eBGpLnHrZsz4AAD4VDoenTZs2qK9ccsklBQUFH3zwgfde2ZNAbYlTL3vWBwAAGtmTQG2JUy971gcAABrZk0BtiVMve9YHAAAa2ZNA/R3n5s2bp0+fPmTIkJEjRy5cuLCpqUn1RyKR4uLiQCAQDAZLS0vlpnd/quxZHwAAaGRPAvV3nNddd11VVVVbW1tjY+OiRYtmz56t+isqKnJzcw92kkZlZaV3f6rsWR8AAGhkTwJNnzhbW1uHDRum2nl5eVJ4qbY08vPzvftTZc/6AABAI3sSaPrEuX79+mnTpql2VlZWOBxW7VAoFAgEvPtTZc/6AABAI3sSaJrEuWvXrvHjx9fU1KibGRkZHR0dqi2NzMxM735H3h/4YSwUAADSlj0JNB3ifPPNN3Nyct57771YD1ewAAAYgOxJoL6Pc+3ataNGjdqxY0d8J+/BAgBgALIngfo7zpUrV+bk5CR+mWV5ebnjXwu69UdTPOT2rA8AADSyJ4H6O87Et0apb7WMRCJFRUWBTiUlJfGfg+XYH6XAAgDAPHsSqC1x6mXP+gAAQCN7Eqgtceplz/oAAFjrk6am+o0bP/m/b0nRwp4EakuceqXB+rjY3p4GQ5h25ujR0/X15rYfuXDhyObNDVu2SMPcEHJ+PLp1q6Hti/Nnz9ZUVh566SVzQ3S0tn5UUXF43TpzQ7Q3N+979tm6l182N4RkKRlCDre5IWSi5ECc2L3b3BAyUQfXrm2prjY3hEzRllmzPlyxwtwQjdu2/fqOO2qfe87cEG2HDu354Q+bdu40N4Qc61dnztz/05+aG2LbXXdtmDxZ/te4zTRIoEmyJU69jK4PeU6+e++98uQ0tH1Jh7+aN0+elubOwnKWf/OWW+QUae4sLEP85u675RRprgCSnd+YlycnF3MTJYlEti//5HRvaAiprtQQ5k70B9asMT2EFHBqCHMrSkofNURrba2hIfauWqWGMLdo5ewh299UUCBlkKEhdj/6qBpCnoOGhpAToJooc0OoukGe4OZeB8oJSoaQM625l09bv/ENGeKVa681tH0h51gZQv7XuE0KLHgxtz5O7tmjzixyLjY0RHj7djWEZBRDQ0i5oIao6em3PXbr6Natagh5MW16CKlRDA0RmyhzpUksCnOlybG33lK56szRo4aGOLJ5s0rqen9VEa/u5ZdliM1Tp5orTWStqnQoL3IMDaHKRInCXGmiajiJwlxpIivqjRtvNHcOjHYeC1lOUiyaG2LXww9rv/bTxeF1616bM0de4ZgbQp7UMld6n9oUWPBibn3IOetX8+bJySv07ruGhpCXU3Jaeeeee8y9jJYodpaV/e9995nLuJI/5Mwlc2UuCpkoOXPVPvec0d91nti9W6pqc9uPdpbURn+hI+QomCt9lLZDh0wPcaqmxlx1pbTW1porfaKdi1aqE3PPu2jns1uGONfYaG6IvtEH72GQp3YavFNCOwoseDG9Psy9wAUAoB9RYKErvosQAIBesieB2hKnXvasDwAANLIngdoSp172rA8AADSyJ4HaEqde9qwPAAA0sieB9kOcaTC5aRACAAB9z54ESoHVE2kQAgAAfc+eBEqB1RNpEAIAAH3PngTaPwWWG9NDRyKR4uLiQCAQDAZLS0vlZs+2Y8/6AABAI3sSqF1XsCoqKnJzcw92kkZlT7/IxZ71AQCARvYkULsKrLy8vKqqKtWWRn5+fs+2Y8/6AABAI3sSqF0FVlZWVjgcVu1QKBQIBHq2HXvWBwAAGtmTQG2JU8nIyOjo6FBtaWRmZnrc2eO9YvasDwAANLIngfZbnHv27MnPzx86dGhfVi1cwQIAoB/Zk0D7Lc4pU6Y88sgjZ86c6ctBeQ8WAAD9yJ4E2m9xDhky5PTp0308aHl5udtfEaZ0yO1ZHwAAaGRPAu23OMeOHXvo0KE+HjQSiRQVFQU6lZSUxH8OFgUWAACm2ZNA+y3OH//4xzfddNOxY8f6awd6w571AQCARvYk0H6L09d/muejXQUAYOCwJ4HaEqde9qwPAAA0sieB2hKnXvasDwAANLIngdoSp172rA8AADSyJ4HaEqde9qwPAAA0sieB2hJn7/n0/fgAAAwc9iRQW+LUy571AQCARvYkUFvi1Mue9QEAgEb2JFBb4tTLnvUBAIBG9iRQW+LUy571AQDogUjkQij07vnzZ80NcfFiezi8Xf43N4Roazukd4P2JFBb4tTLnvUBwF/OnWuU1G5u+6dP1+/du+rYsbeMDrFnzw8bG7eZG6K+fuOrr86UUcwNsWNH6YYNk3/1q3nmhti+/QEZYtu2u8wNoaLYubNM4zbtSaC2xKmXPeujN4ye5aOdr946OlqNDhE1H4Xp7csL6Nra5w4desncQDJETU3l4cPrDG1fyIGWIerqXjY3hLxMf+ede4xm3KamnVu3fuP994vMDSFHQdLhG2/caO5wS66VITZuzGtvbzY0hEyRDLFpU4G5yz+//vUdKgpzl39+85u7ZYgtW2YZ2r6Q0kodbnNDyMa1D2FPArUlTr2Mro8zZ46Gw9vNbV9Ixv3wwxXmzo+SDt988xY5s7S0VBsaQmbplVeulVOwuSHOnWuU04r8k9fThoaQLb/22hwZQsYyNITKuPIvFHrX0BAHD65VQ0gBYWgIqa7UECdP7jE0xN69q9QQ5lbU7t2PqiFOnaoxNMSuXQ+rIeQJYmiIjz6qkO3LujVXw+3b96wMIecQQ9sXR49uleedxGJuCHl2SyDmVqxoba2VIcwtp2jnqwJZt3qf2hRY/rB58+bp06cPGTJk5MiRCxcubGpqUv2RSKS4uDgQCASDwdLSUrnp3Z8qc+vjk0+a5EWVnFwOHXrJ0BAnTuxWp2BJWoaGkFyuhti//6eGhjh27C01hGR3Q0PU1b2shjB3bSZW/dTXbzQ0hDoWsqjkXGxoCMlVaghzSf3Ikc1qCHmCGBpCJkpK9rfemm/ukoY89UxfwZKkLjWW0auJQjK66ff9SJlregj0Fwosf7juuuuqqqra2toaGxsXLVo0e/Zs1V9RUZGbm3uwkzQqKyu9+1Nlbn3I+dF09dPe3iyJRHKVuXdRyJlxx47Sd965x1zGlSH27l31298+ZvQ63PbtD8g/c0ldtqyGMPq7zra2Q+aukClSvfXBEOYOhGL617UAohRYftTa2jps2DDVzsvLk8JLtaWRn5/v3Z8qo+ujsXHbwYNrjf7tiWzcdDoEACARBZb/rF+/ftq0aaqdlZUVDodVOxQKBQIB7/5U2bM+AADQyJ4EmiZx7tq1a/z48TU1//+9fhkZGR0dHaotjczMTO9+R4M8GQsFAIC0ZU8C9VmcjvXNm2++mZOT895778V6uIIFAMAAZE8C9X2ca9euHTVq1I4dO+I7ff0eLAAA0pU9CdTfca5cuTInJ2ffvn1d+svLyx3/WtCtP5riIbdnfQAAoJE9CdTfcSa+NaqtrS3a+XlXRUVFgU4lJSXxn4Pl2B+lwAIAwDx7Eqgtceplz/oAAEAjexKoLXHqZc/6AABAI3sSqC1x6mXP+gAAQCN7Eqgtceplz/oAAEAjexKoLXHqZc/6AABAI3sSqC1x6mXP+gAAQCN7EqgtcfYeX5UDAEAv2ZNAbYlTL3vWBwAAGtmTQG2JUy971gcAABrZk0BtiVMve9YHAAAa2ZNAbYlTL3vWBwAAGtmTQG2JUy971gcAABrZk0BtiVMve9YHAAAa2ZNAbYlTL3vWBwAAGtmTQNMhznA4PGbMmPhjFolEiouLA4FAMBgsLS2Vm979qbJnfQAAoJE9CTQd4ly8ePHjjz8ef8wqKipyc3MPdpJGZWWld3+q7FkfAABoZE8C9X2c1dXVEyZMOHfuXPwxy8vLq6qqUm1p5Ofne/enyp71AQCARvYkUN/HecMNNzz//PPRPzxmWVlZ4XBYtUOhUCAQ8O5PlT3rAwAAjexJoP6Oc8uWLZMnT1ZvpYo/ZhkZGR0dHaotjczMTO9+R4M8GYkHAIC0Zk8C9VmcXeqbSZMmvf3227Efxe7GFSwAAAYgexKov+N0u7DEe7AAABiA7Emg6RNn/DErLy93/GtBt/5oiofcnvUBAIBG9iTQ9Imzy+dgFRUVBTqVlJTEfw6WY3+UAgsAAPPsSaC2xKmXPesDAACN7EmgtsSplz3rAwAAjexJoLbEqZc96wMAAI3sSaC2xKmXPesDAACN7EmgtsSplz3rAwAAjexJoLbEqZc96wMAAI3sSaC2xNl7fFUOAAC9ZE8CtSVOvexZHwAAaGRPArUlTr3sWR8AAGhkTwK1JU697FkfAABoZE8CtSVOvexZHwAAaGRPArUlTr3sWR8AAGhkTwK1JU697FkfAABoZE8CtSVOvexZHwAAaGRPAvV9nLt37545c+awYcNGjRq1evVq1RmJRIqLiwOBQDAYLC0tlZve/amyZ30AAKCRPQnU33HW1NSMGTNmzZo1J0+erKurmzdvnuqvqKjIzc092EkalZWV3v2psmd9AACgkT0J1N9xSkX1zDPPJPbn5eVVVVWptjTy8/O9+1Nlz/oAAEAjexKov+McMWLEsmXLRo4cOXz48Ntvv725uVn1Z2VlhcNh1Q6FQoFAwLs/VfasDwAANLIngfo7zszMzPnz5zd2KiwsvPPOO1V/RkZGR0eHaktD7ubd72iQJ2MxAQCQtuxJoD6Ls0t9k5WVFQqFVFtqrOzs7Fg/V7AAABho7Emg/o6zoKBA6irVPn78eKzA4j1YAAAMQPYkUH/HuXr16ltvvTX2K8IFCxao/vLycse/FnTrj6Z4yO1ZHwAAaGRPAvV9nMuXL8/Ozg4Gg7fddlvsTe6RSKSoqCjQqaSkJP5zsBz7oxRYAACYZ08CtSVOvexZHwAAaGRPArUlTr3sWR8AAGhkTwK1JU697FkfAABoZE8CtSVOvexZHwAAaGRPArUlTr3sWR8AAGhkTwK1JU697FkfAABoZE8CtSXO3uOrcgAA6CV7Eqgtceplz/oAAEAjexKoLXHqZc/6AABAI3sSqC1x6mXP+gAAQCN7Eqgtceplz/oAAEAjexKoLXHqZc/6AABAI3sSqC1x6mXP+gAAQCN7Eqi/4zxw4MCcOXMCnaQhN1V/JBIpLi6WzmAwWFpaKje9+1Nlz/oAAEAjexKov+PMy8srKytr7rRkyRK5qforKipyc3MPdpJGZWWld3+q7FkfAABoZE8C9Xecl112WWtrq2qfOnVKbqq2VFpVVVWqLY38/Hzv/lTZsz4AANDIngTq7zhvvvnm5cuXt7S0NDc3L126VG6q/qysrHA4rNqhUCgQCHj3p8qe9QEAgEb2JFB/x3nkyJGxY8eq766RRkNDg+rPyMjo6OhQbWlkZmZ69zsa5MlYTAAApC17EqjP4uxS38yYMWPJkiWx92DJTdXfB1ewAABAD/S8CPAVf8c5dOjQfnkPVtRkDW508bFxNs7GB+aW2TgbZ+Npxt9xSsG0dOlSdQXroYceihVM5eXljn8t6NYfTf2QcwZn42zcwo37dLfZOBu3ZOMDir/j3L9///XXX//HnWbNmlVbW6v6I5FIUVGR+nyskpKS+M/BcuyPUmCxcTbOxvt1y2ycjbPxNGNLnNpxBmfjbNzCjft0t9k4G7dk4wOKLXFCsWdlp4RpccS0JGJOHDEtjpgWR/ZMiy1xQrFnZaeEaXHEtCRiThwxLY6YFkf2TIstcUKxZ2WnhGlxxLQkYk4cMS2OmBZH9kyLLXFCsWdlp4RpccS0JGJOHDEtjpgWR/ZMiy1xQrFnZaeEaXHEtCRiThwxLY6YFkf2TIstcQIAAPQZCiwAAADNKLAAAAA0o8ACAADQjAILAABAMwosAAAAzSiwAAAANKPA8rFIJFJcXBwIBILBYGlpqdxU/Zs2bfrKV75y6aWXjhw58o477jh+/LjbFsLh8JgxY+I/lWTz5s3Tp08fMmSIPHbhwoVNTU3Gw9DNxLQM+kPGYzDAxLQcOHBgzpw5gU7SkJvGw9CqN3PisSR8vU6ixqYl6rSEfMTEtHTpz8rK6qNg9HGbFsX7iLs91nubPuLLhQ6loqIiNzf3YCdpVFZWqv5rrrlm3bp1zc3Nra2tjzzyiBRMbltYvHjx448/Hr/6r7vuuqqqqra2tsbGxkWLFs2ePdt4GLqZmBafpoR4JqYlLy+vrKysudOSJUvkpvEwtOrNnHS7JPy7ZsxNS+IS8hGjq0WsWrXqe9/7nuadNs9tWhTvI+72WO9t+ogvFzoUyWdSDKm2NPLz8xPvI6XSZZddFrsZv9Crq6snTJhw7tw5t9Uv54thw4Zp3eW+YGJafJoS4pmYFrmzLBLVPnXqVPxjfaE3c5LGBZahaen2hDPAGV0t7e3t48ePP3LkiKad7Tse0+J2xGM33R6bzFT7gi8XOpSsrKxwOKzaoVAoEAh0ucPp06efeOKJ+KtQ8Qv9hhtueP7556PuT/7169dPmzZN806bZ2JapJ2dnS2nzr/8y7986qmnLly4YDAAM0xMy80337x8+fKWlhZ5+b506VK5aTAAA3ozJ90uCZ+WEVFj09LtCWeAM7paKisrFyxYYGzfDfKYFrcjHrvp9thup9ovfLnQoWRkZHR0dKi2NDIzM+N/qn6pf8UVV3z88ceJj92yZcvkyZPV77Ydz3e7du2SV1Q1NTUGdtwsc9PyySefvP/++/Jy6v777zez7waZmBZ5wT127Fj1WGk0NDSYjEC/3syJ4rEkfFpGRM1MS7cnnIHP3Gq5ePHin//5n1dXV5vYbdPcpiWZI+72WO+p9hFfLnQo3Zb5p06devjhh7/85S8nPnbSpElvv/22aieu/jfffDMnJ+e9997Tvct9wdy0KHV1dX58RWViWmbMmLFkyZLYe7Dkppl9N6U3cxLPcUn4tIyImpmWZJ5ZA5y51bJ27dqvfe1rGne1L7lNSzJHnCtYGLiS+UW1POcd30c1KEHsR/JsHzVq1I4dOwzttmmGpiWmvr5+xIgReve5D5iYlqFDh6b9e7Dc5iSe45LwaRkRNTMtyTyzBjhzq+WLX/zitm3bdO1nH3OblmSOOO/BwsBVXl7u+KcWt912W3V1dUdHx+9///t7773X7V01jp0rV67MycnZt2+f6Z03x8S0FBYW7tmzp729XbYwY8aM7373u6aj0M7EtMh5cOnSpeoK1kMPPeS782Bv5qTbJeHHGkIxOi1R386MoWnZtGnTl770pb4MRC+3aYk3yOU9WG6PTWabvuDLhQ4lEokUFRWpTyEqKSmJfVjIf/3Xf33hC1/49Kc/PWbMmEWLFp04cSL2kG5TZuLLjra2NtOB6GViWtRjL7300gkTJpSVlZ07d850FNqZmJb9+/dff/31f9xp1qxZtbW1pqPQqzdz4rEk/H6pxtC0JN7ZXwxNS0FBwfr16/syEL3cpiWeW4Hl9thktukLvlzoAAAAAxkFFgAAgGYUWAAAAJpRYAEAAGhGgeVjbl/M3LNv0Oz2e1g9Hr579+6ZM2cOGzZs1KhRq1evTmlvo/7/clwAALogpfmY2xcz9+wbNLv9Hla3h9fU1EhltmbNmpMnT9bV1c2bNy+lvY2hwAIApA1SWpqI/2LmHnx6WzLfw+r2cKmonnnmmR7vbQwFFgAgbZDS0kT8FzP34PsHkvkeVreHjxgxYtmyZSNHjhw+fPjtt9/e3Nyc0t7GUGABANIGKS0ddPli5lS/QTPJ72F1e7g05s+f39ipsLDwzjvvTGlvYyiwAABpg5Tme4lfzJzqFSy3b+Xs8t5zj83KTdWWGis7O9vx4W57Gz9c6tEDADAQkdL8zfGLmVN9D1aS38Pq9vCCggKpq1T7+PHjsQIryb2NocACAKQNUpqPuX0xc2++QdOjynF7+OrVq2+99dbYrwgXLFiQ0t4mMzQAAP5CSvMxty9m7s03aHp/Dpbbw5cvX56dnR0MBm+77Ta3N7l7fI20378cFwCALkhmAAAAmlFgAQAAaEaBBQAAoBkFFgAAgGYUWAAAAJpRYAEAAGhGgQUAAKAZBRYAAIBmFFgAAACaUWABAABoRoEFAACgGQUWAACAZhRYAAAAmlFgAQAAaEaBBQAAoBkFFgAAgGYUWAAAAJpRYAEAAGhGgQUAAKAZBRYAAIBmFFgAAACaUWABAABoRoEFAACgGQUWAACAZhRYAAAAmlFgAQAAaPb/APb0aEvN+wVeAAAAAElFTkSuQmCC)
| VMR Tools created by Darren De Zeeuw. |