Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit354-07-20021015_004900_20021015_053400-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/10/15 |
Start Time | | 2002/10/15 00:49 |
End Time | | 2002/10/15 05:32 |
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 | | 18.20 |
Dipole Tilt, in Y-Z GSE plane, deg | | 16.82 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 175.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit354-07-20021015_004900_20021015_053400-constBx0 |
Minimum Dst Value | | -53 |
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,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAU2F0IEphbiAxMiAyMDowMzo0NyBFU1QgMjAxOXDC6OUAAAHLdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQzNTQtMDgtMjAwMjEwMTVfMDUzNTAwXzIwMDIxMDE1XzEwMjAwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIEdPRVMtOCB0cmFqZWN0b3J5LiIsIAogICAgInhheGlzIjogeyAibGFiZWwiOiIiLCAibWluIjoiMjAwMi0xMC0xNVQwNTozNTowMC4wMDBaIiwgIm1heCI6IjIwMDItMTAtMTVUMTA6MTg6MDAuMDAwWiIsICJsZWZ0Ijo3OCwgInJpZ2h0Ijo3MDksICJ0eXBlIjoibGluIiwgInVuaXRzIjoiVVRDIiB9LAogICAgInlheGlzIjogeyAibGFiZWwiOiJyaG8iLCAibWluIjowLjE0NDY5NDk5OTUsICJtYXgiOjIuMTg0MjA1MDAwNSwgInRvcCI6NTIsICJib3R0b20iOjIzNSwgInR5cGUiOiJsaW4iLCAidW5pdHMiOiIiIH0KICB9CiBdfSHioSYAAAAEZ0FNQQAAr8g3BYrpAAAhSUlEQVR4nO3de3AV5fnAceRiQmjTE4iGIAQwpZUO0MpoBxpUwIBQvKB1bARBkVraKiNthQTDpbRV205hxKkGS7HjTCsXO5rREjqdVtqptTJQhpoaLpVLDJZLUC5RE2JIfs9k57ezfffsnj05+x425/1+/mD2bHbf3X2e3X2ec7I59OgAAABAqHpc7B0AAADINDRYAAAAIaPBAgAACBkNFgAAQMhosAAAAEJGgwUAABAyGiwAAICQ0WABAACEjAYLAAAgZDRYAAAAIaPBAgAACBkNFgAAQMhosAAAAEJGgwUAABAyGiwAAICQ0WABAACEjAYLAAAgZDRYAAAAIaPBAgAACBkNFgAAQMhosAAAAEJGgwUAABAyGiwAAICQ0WABAACEjAYLAAAgZDRYAAAAIaPBAgAACBkNFgAAQMhosAAAAEJGgwUAABCyjGqwevTIqMMBgPTQcfN84403RowYkXBkHZumFiAKMuos9LqouNgAwIeOm+SECRNeeumli7Jp7vldQNBCl1EBTfat0tatW6+//vqsrKzCwsJ77733+PHj9mJOyiCNjY1Dhgzx2VZ7e/uSJUtisVheXl5FRYW8tOYfPHjw5ptvjnWSCXkZd/Vt27ZNnjw5Oztb9mr+/PmnTp3yH9Zrvtc4zgMMsttey/tHKWBMvAZJNjXJBsecyCe70bCCkFTkdfAK2iWXXFJQUFBWVtbQ0OCzehf2/9ixY9/5zneGDRvWp08fWWvatGlyGsfdGWWmTHzhC19wbkKmR44c6VzA/tHevXvvuOOO/v37X3rppddcc82LL75ozT9z5ozs54gRI/r27Stbv+222/70pz8l3Gf3znR5Abfc3NyWlpbUN90FunsFn1yL2tra6dOnf6qTTLz11lvOHYt7/QZPX5A6ovvwL9a2up2MCk2y94hJkybJG6zTp0+fO3du1apVUleCjCPX1eOPP+6zzLp168aOHXuok0ysX7/emj9+/PjKysrTnZYuXSov464+ZcqUmpqapqamEydOLFiwYMaMGf7Des33GscrGl7jeC2f1HXlNbjXIMmmJtngxJWRkU92o2EFIanI6+AVtAsXLrz33nvf//73J0yY4LN6svt/9OjRoUOHyrB1dXUff/yxNKavvvrqTTfdFHdnlJkyIa3SK6+8Yv/o5ZdfljnuBuvAgQPSHf785z+vr6+X3uXNN9/82te+Zv1ItvXAAw/IAufPnz958uTmzZtvuOEG/32OuzNdXqDLq3S7Bss/1//5z38uu+yy1atXH+u0Zs0aeSkz/XcsePqC1BEarIjoHqGRW8nDDz9c0Ekm7HdFklo5fQcPHizvSq2XP/3pTy+//HJ5e/fggw/KmWov1vG/bx3cm5CKkpOT41w+LrmiiouLm5ubfZaRM15KlDUtEyUlJda0jC/tgjV99uxZe3M+ZPl+/fr5D+s132scm3IICcdJpcx7DR5kkCCpSSU4cWVM5Lu80Y7UghAw8p988sny5cuLiork7bj0DdZMn+u9qqpKalt2dva4ceNqa2ut+fJe/+qrr5aZ8iOrE3Jf7Mrhnzlzpm/fvjLxrW9967nnnrPnb9iwQeb473/c+N9///1S7eIeo9cqzn3bsmWLcxNydC+++KJ752fNmvXjH/847ibkcOSgvHbAuVGfm2SHR/D9b57JruK+b8dNq9dp4LR//35pMeVYcnNzb7/99sbGxiCH479ROQFkQFleAtWFXM+ePXvlypXOOStWrLjnnnuUHVMETF9HgDoS9+R3Bjxh0ORNyI9+9KNhw4bl5eXNmzfvww8/tOa7r1b3toIU6+uuu27jxo32Dsu7hcLCwoCH3710jwZLklpaWtrQadKkSXK+WvMlZ7fddpu8H7VfymJHO8nED37wA3u+MqGQE+iJJ56w36zLYvn5+XLijho1au3atW1tbfaSX/3qV3/729/6DNXR+cG4fcrKexE5F63pO++8U/ZcTiN557Fs2TJ5mfDAq6urJ06c6D+s13yvcWzKISQcx13mvaLk5jV4wkECpiaV4MSVMZHv8kY7UgtCwMhLuyCbeOeddz744INFixZZM32u95kzZx4+fFjOilWrVtkdidydf/e738mtXO7U8+fPj3u8zuJx7Nix8vJy6xMC6TCuv/76zZs3y/SmTZtkurW11X//4177sg9St+Ieo9cqzvuS7NWIESP+/ve/y8vt27fLtMxx37ikaHk9WjB9+vS77rrr9ddf//jjj712oyPATdIn+F5jJruK+74dN61ewzqNGTPmtddek0OW++pDDz30jW98I/jhxN2o3Jklku91mjp1ahdyLTmS89k5R14OHDjQPyYB09cRrI64T35nwBMGbfXq1TfeeOOhQ4fkqpTW8Hvf+541P+7VqmwrSLH+wx/+MHLkSDnDrR/JNfuTn/zE/6i7qe7RYF155ZVvv/22NS1vNYqLi61pydmRI0fsxeSlvdi///1v52LKhJPVfctbOvtTXIvcr3fu3CkXnn0m/fGPf/zyl79sPSrhc7vp2bOndY8WMtGrVy9r2vpg2dqcTNinu5fdu3cPHz7cvpK9hvWa7zWO88CD7LbX8hZ3lOLyH9xrkOCp6XJw4sqkyHd5oykGIWDkP/vZz9ofHth8rnfpjazpjz76yPoISgwZMuSpp5569913fY63x/+St+Zyi7B+dPz4cTnSiooK+dd+2i/ZM6d3797O0uj+CMG9ivLTZ5999tZbb+3o/G3RL3/5S/cC1laam5vj7sDZs2eltn3xi1/Mzs6WAD7yyCNxPxJIeJP0Cb7XsSe7ivu+HTetXsN6kQgMHjw4+OF4bXTv3r3WtKwY9xD8cy2nipIjWVhWURZW1gqYvo5gdcR98jsD7hQ3aFddddW+ffusabkiZCvWdNyrVdlWwGJ97bXXWh9VHDhwQHZAUhB397q77tFgyTlnn7IyIS+tacmZ8kSw12LKhEJOspUrV1533XXuH8l7YvvN6+jRo//2t7+5h1IuFa/3vtLXL1261P7dubyMu7pF3sUWFRXt2LHDntO1jwrc4zh32/ky2c9RnJxRiivI5xlxBwmYmhA/wcqwyHdto6kHweczS+fZ7ry0bT7Xe9wj+uc//zlz5swBAwaMGDHC/r2e18LW/lRWVtoP9nV0/hJHFrB/R5kwPm4DBw706aT79Omj/IZLjkt6OOdiskBhYeELL7wg/9q/ZVPG8fkEyya3ROmc7r33XvfDfx0BbpIBg++U7Cru+7byU/9hneQ9huRR2mXrpLL74GQPx7m8nSmvR0H8cy1vCLvwCZbNnT7lkvGqI3F3xn7pDHjCoEm76WwB7RM17tWqbCtgsa6urv785z/f1tZ29913y7sj/5h0X92jwQr4Dsn55kwm3ItZv4GOSwq5+1kZ0dDQIDc1e5y4bz4UXk9vyFkb8BmsTZs2DRo0aNeuXUGG9XlYJO44NmX/k30SyMkZpbiCPJHjNUiQ1IT1DFbmRb4LGw0lCAEjLy1RUp9g+RyR3L5///vf25VMudiVheVKtD+02LNnj7yHfumll6644gr7s9JkzxypiBUVFcpMe6MjR4588803nT/6xz/+MWzYMGWxJ554onfv3vavS9wN1qxZsx5//HH/PbFI9f30pz/tnp/wJukVfJ+bZxc+wQryMsgnWDLz+eeff//996VUy7/uiCV7LgX5BMs/19IxuJ/Bmj17dtztevFKX0ewOuJ/8icMmrQ+hw8fdg8b92pVthUw4HK1jh49evHixXIV2A8CZp7u0WDJ203717rSei9btsya775Ipk6daj1eIBPuRwEuu+yyuro6e/k5c+bIy9bW1nffffehhx6y3zGUlZXJmSFZl5/KdhcuXOjeJZ/rpKqqyuuvCGXPrXcejz76qNcte/Xq1UVFRfZFnnBYr/le43gdgtc4XssHiVLCwb0GSTY1yQYnroyMfLIbDSsIASP/2GOPTZw48eDBg86nOoJf73ZA5J4uAZEGS1pDa6ZysTvXPXXq1PLly8eNG9fR+ZCf3Oj/+te/yvQrr7xy9dVXW7/98dn/uNf+kSNHZNP2X5bJ4bz66qv2kk8//bRs5S9/+cvZTtu3bx81atTPfvYznwE74jVYBw4ckA5yzZo1EpmWlpYdO3bYf0V4ww03bN68+fjx43LVyD4vWLBg+vTpccf0v0l6BV+Jp1PAfHkF0Oul17BOEo2XX35ZQiGnkITCHbFkzyVZ3n4G66abbupCrvft25efny85sv+KUF7an3h5xSRg+jqC1RGfkz9I0J588kkJmowg19Rbb7319a9/3Zof92pVthX8ZJA3cjLzV7/6lXNmwAa0u+geB9Pc3CxVxPrDBJmwP4F0XyTWH8jk5eV9+9vfdv79gjUhxSMWi9kvt2zZMmbMmEsvvXTIkCFyQksv75yflZUl3becLnEfevA5D6Q3l8bc+p6S8vJy+3NRuTlOmzbtM53k4lE+RnaOrGhqavIZ1mu+1zjuH/mP47V8kCgljInXIMmmJtngmBP5ZDcaVhACRl7KiRSJwYMHyzUrpciaGfx6tyY2btwo77mzs7OlPXrttdesmcrF7jyi/v3733rrrdYFOHfuXOuBJ4vsw7x58xImJe6x1NfX33///VJ6e/fuPWDAgNtvv/2NN96wo/HrX//6mmuusS5/mXj++ecTDtjDVfk6Ov+QWUaWvZKr49prr7W/B+vPf/6zzJcwShyGDx/+4IMP2leNMqb/TdIr+Eo8nQLmy+t4vV56Deu0detWSX2fPn3kXcFTTz3ljliy55Is8M1vflOCIyH64Q9/KCPHPQSfXIt//etfcqvv10m6tD179jg3FPd6DJi+jmB1xH3yJxW0CxcuyPyrrrpKbjLyxqC6utqaH/dqVbYV/GSQU3fEiBGffPKJc6bXOdNNZdTBAAB8ZFgB00r6JOl1LvZepElbW5v9JH563HLLLS+88EI6t5h+XGwAYAoarIQWLVp07NixI0eO3Hjjjd/97ncv9u6kyc6dO+2/FtTtwoULzz777OjRo+1vashUXGwIk/sD8Aje0LvFTiYrIw8KoeOsSOjJJ58cPHjw5Zdf/sADD2Tq1we4fepTn3rmmWfSsy05CYcNGyYtXXo2dxFxsQEAAISMBgsAACBkNFgAAAAho8ECAAAIGQ0WAABAyGiwAAAAQmZKgxX3j9gBAEBYLnapjxZTwkHiAQDQhzqrMCUcJB4AAH2oswpTwkHiAQDQhzqrMCUcJB4AAH2oswpTwkHiAQDQhzqrMCUcJB4AAH2oswpTwkHiAQDQhzqryORw8P0cAACkB3VWYUo4SDwAAPpQZxWmhIPEAwCgD3VWYUo4SDwAAPpQZxWmhIPEAwCgD3VWEZVwbNu2bfLkydnZ2YWFhfPnzz916pR7mfb29iVLlsRisby8vIqKCnkZfHwSDwCAPtRZRVTCMWXKlJqamqamphMnTixYsGDGjBnuZdatWzd27NhDnWRi/fr1wccn8QAA6EOdVUQxHOfOnevXr597/vjx46UJs6ZloqSkJPiYJB4AAH2os4oohqO6unrixInu+bm5uY2Njdb0yZMnY7FY8DFJPAAA+lBnFZELx+7du4cPH75//373j3r27Nna2mpNy0SvXr2UBXr40r7rAACYijqriFY4tm/fXlRUtGPHjrg/5RMsAACiiTqriFA4Nm3aNGjQoF27dnktwDNYAABEE3VWEZVwrF69uqioaO/eve4f2TmrqqrirwgBAIgg6qwiKuFwPzLV1NRk/8iaaG9vX7x4caxTeXk534MFAEBEUGcVpoSDxAMAoA91VmFKOEg8AAD6UGcVpoSDxAMAoA91VmFKOEg8AAD6UGcVmRwOvmgUAID0oM4qTAkHiQcAQB/qrMKUcJB4AAD0oc4qTAkHiQcAQB/qrMKUcJB4AAD0oc4qTAkHiQcAQB/qrMKUcJB4AAD0oc4qTAkHiQcAQB/qrMKUcJB4AAD0oc4qMjkcfNEoAADpQZ1VmBIOEg8AgD7UWYUp4SDxAADoQ51VmBIOEg8AgD7UWYUp4SDxAADoQ51VmBIOEg8AgD7UWYUp4SDxAADoQ51VmBIOEg8AgD7UWYUp4SDxAADoQ51VZHI4+KJRAADSgzqrMCUcJB4AAH2oswpTwkHiAQDQhzqrMCUcJB4AAH2oswpTwkHiAQDQhzqrMCUcJB4AAH2oswpTwkHiAQDQhzqrMCUcJB4AAH2oswpTwkHiAQDQhzqryORw8EWjAACkB3VWYUo4SDwAAPpQZxWmhIPEAwCgD3VWYUo4SDwAAPpQZxWmhIPEAwCgD3VWEaFwJHwaPZWH1kk8AAD6UGcVkQuHf4OlY1gAAJAi6qwicuGgwQIAoNuhzioiFw7/Bis/Pz8nJ2fUqFFr165ta2sLZVgAAJAi6qwicuFImKGWlpadO3eWlJQsWrTIva4PbbsMAIDpqLOKyIUjYIbq6+tjsVjowwIAgC6gzioiF46AGWpoaCgoKAh9WAAA0AXUWUXkwuHOkD2nrKystrb2/PnzdXV1paWlCxcuTGVYAAAQFuqsIkLh8Hpkyp7esmXLmDFjsrKyiouLKysrm5ubkxo85N0FAAD/jzqrMCUcJB4AAH2oswpTwkHiAQDQhzqrMCUcJB4AAH2oswpTwkHiAQDQhzqryORw8EWjAACkB3VWYUo4SDwAAPpQZxWmhIPEAwCgD3VWYUo4SDwAAPpQZxWmhIPEAwCgD3VWYUo4SDwAAPpQZxWmhIPEAwCgD3VWYUo4SDwAAPpQZxWmhIPEAwCgD3VWkcnh4ItGAQBID+qswpRwkHgAAPShzipMCQeJBwBAH+qsIvxwNDc3L1u2rLi4ODs7W/5dsWJFS0tL6FtJFokHAEAf6qwi/HAsXLhw8uTJtbW10mnJv5MmTXr44YdD30qySDwAAPpQZxXhh6OgoKChocF+KdMyJ/StJIvEAwCgD3VWQYMFAABSRZ1VaPkVYWlp6dtvv93c3Cz/yjS/IgQAILNRZxVaHnKvrKy88sors7Oz5d/ly5fzkDsAAJmNOqvI5HDwRaMAAKQHdVZhSjhIPAAA+lBnFeGHo7a2tqSkpG/fvpH69CgK+wAAQKaizirCD8e4ceNWrVr10UcfhT5yKkg8AAD6UGcV4YcjOzv7ww8/DH3YFJF4AAD0oc4qwg/H0KFDDx8+HPqwKSLxAADoQ51VhB+OZ555ZubMmceOHQt95FSQeAAA9KHOKsIJR49EQtlKint4sXcBAICMRZ1VmBIOEg8AgD7UWUX44bjkkktCH7NrovYpGgAAmYo6qwg/HFdcccV///vf0IdNEYkHAEAf6qwi/HCsWbPmjjvuOHLkSHt7e+iDdxmJBwBAH+qsIvxw8JA7AACmoc4qTAkHiQcAQB/qrCJC4Uj4cVd7e/uSJUtisVheXl5FRUVSv4Ik8QAA6EOdVUQuHD4ZWrdu3dixYw91kon169eHMiwAAEgRdVYRuXD4ZGj8+PE1NTXWtEyUlJSEMiwAAEgRdVYRuXD4ZCg3N7exsdGaPnnyZCwWC2VYAACQIuqsInLh8MlQz549W1tbrWmZ6NWrl3vdKP93PQAAZCrqrCJy4eATLAAAuh3qrCJy4eAZLAAAuh3qrCJy4XBnyJ5TVVXFXxECABBB1FlFhMLh9ciUPd3e3r548eJYp/Lycr4HCwCAiKDOKkwJB4kHAEAf6qzClHCQeAAA9KHOKkwJB4kHAEAf6qzClHCQeAAA9KHOKjI5HHzRKAAA6UGdVZgSDhIPAIA+1FmFKeEg8QAA6EOdVZgSDhIPAIA+1FmFKeEg8QAA6EOdVZgSDhIPAIA+1FmFKeEg8QAA6EOdVZgSDhIPAIA+1FmFKeEg8QAA6EOdVWRyOPiiUQAA0oM6qzAlHCQeAAB9qLMKU8JB4gEA0Ic6qzAlHCQeAAB9qLMKU8JB4gEA0Ic6qzAlHCQeAAB9qLMKU8JB4gEA0Ic6qzAlHCQeAAB9qLMKU8JB4gEA0Ic6q8jkcPBFowAApAd1VmFKOEg8AAD6UGcVpoSDxAMAoA91VmFKOEg8AAD6UGcVpoSDxAMAoA91VmFKOEg8AAD6UGcVpoSDxAMAoA91VmFKOEg8AAD6UGcVpoSDxAMAoA91VpHJ4eCLRgEASA/qrMKUcJB4AAD0oc4qTAkHiQcAQB/qrMKUcJB4AAD0oc4qTAkHiQcAQB/qrCIq4Whvb1+yZEksFsvLy6uoqJCX7mVSeWidxAMAoA91VhGVcKxbt27s2LGHOsnE+vXr3cukkjwSDwCAPtRZRVTCMX78+JqaGmtaJkpKStzL0GABABBN1FlFVMKRm5vb2NhoTZ88eTIWi7mXkeTl5+fn5OSMGjVq7dq1bW1twccn8QAA6EOdVUQlHD179mxtbbWmZaJXr15eS7a0tOzcubOkpGTRokXKj3r40rj3AACYjTqriEo4gnyC5VRfX59wGScSDwCAPtRZRVTCEeQZLKeGhoaCgoLg45N4AAD0oc4qohKOqqoqr78itHNWVlZWW1t7/vz5urq60tLShQsXBh+fxAMAoA91VhGVcLS3ty9evDjWqby83Pk9WHbOtmzZMmbMmKysrOLi4srKyubm5uDjk3gAAPShzipMCQeJBwBAH+qswpRwkHgAAPShzipMCQeJBwBAH+qswpRwkHgAAPShzioyORx80SgAAOlBnVWYEg4SDwCAPtRZhSnhIPEAAOhDnVWYEg4SDwCAPtRZhSnhIPEAAOhDnVWYEg4SDwCAPtRZhSnhIPEAAOhDnVWYEg4SDwCAPtRZhSnhIPEAAOhDnVVkcjj4olEAANKDOqswJRwkHgAAfaizClPCQeIBANCHOqswJRwkHgAAfaizClPCQeIBANCHOqswJRwkHgAAfaizClPCQeIBANCHOqswJRwkHgAAfaizClPCQeIBANCHOqvI5HDwRaMAAKQHdVZhSjhIPAAA+lBnFaaEg8QDAKAPdVZhSjhIPAAA+lBnFaaEg8QDAKAPdVZhSjh6AAAAnS52qY8WwpGENJw96TlBORDTNpGerXAgUdsKBxKpTaRnKxlzIBmAGCWBayNSm0jPVjJjE+nZCgcSta1wIJHaRHq2kjEHkgGIURK4NiK1ifRsJTM2kZ6tcCBR2woHEqlNpGcrGXMgGYAYJYFrI1KbSM9WMmMT6dkKBxK1rXAgkdpEeraSMQeSAYhRtHDWRg0ZiRoyEjVkJFJIR3SQiWjh2ogaMhI1ZCRqyEikkI7oIBPRwrURNWQkashI1JCRSCEd0UEmooVrI2rISNSQkaghI5FCOqKDTEQL10bUkJGoISNRQ0YihXREB5kAAAAIGQ0WAABAyGiwAAAAQkaDBQAAEDIaLAAAgJDRYAEAAISMBgsAACBkNFgatbe3L1myJBaL5eXlVVRUyEv7R3v27Jk6dWq/fv0GDRq0YcOG4Ov6jImEvKLX43/l5uYGX5eMpMIregcPHrz55ptjnWRCXgZfl4ykwit6p0+fnjt3bv/+/fPz81euXJnUumQkFfZ9yTkzSEhJx0VHg6XRunXrxo4de6iTTKxfv96av3///iFDhvzmN7/54IMP6uvr77777uDres1HEEGit2bNmkceeST4umQkFV7RGz9+fGVl5elOS5culZfB1yUjqfCK3n333VdWVna801133fXcc88FX5eMpE5psIKElHRcdDRYGklVqKmpsaZloqSkxJqWjuoXv/hF3FXsq8hrXa/5CCJh9M6fPz98+PCjR4/ac8iIVl7Ry8nJOXfunDV99uxZeWmvQka08oregAEDTpw4YU1LjzVhwgR7FTKSBkqD5RNS0hEdNFga5ebmNjY2WtMnT56MxWLWdEFBwfLlywsLC/v37z937lx5j26vYl8bXut6zUcQCaMnb+bmzZvnnENGtPKK3p133rlixYozZ87I1bFs2TJ5aa9CRrTyip40WPLSmpZOyxlVMpIGSoPlE1LSER00WBr17NmztbXVmpaJXr16WdMycc8995zoVFZWdt999wVf12s+gvCP3oULFz73uc/V1dUltS4ZSYVX9I4ePTp06FDr0ROZeO+994KvS0ZS4RW9OXPmzJ4927przZo1q3fv3sHXJSOpUxqsICElHRcdDZZGPm8gnO8F8/Pzk1qXNx9d5h+9TZs23XLLLcmuS0ZS4RW90tLSpUuX2s9gycvg65KRVHhF7/3335e+Ki8vr6Cg4LHHHhs4cGDwdclI6oJ/gpVwGdKRNjRYGnn9qnvChAnOpxniNlj8+lwH/+h96Utfev3115Ndl4ykwit6ffv29XoGK+G6ZCQVQaL39NNPS7MVfF0ykrrgz2AlXIZ0pA0NlkZVVVVx/1hjw4YN9oftZWVlzod+7KvIa12v+QjCJ3pbt279yle+4l6FjGjlFT2pAcuWLbM+wXr00UfjPsNLRnTwip7cshoaGiQdGzduHDJkyL59++xVyEgaKA2WT0hJR3TQYGnU3t6+ePFi67t8ysvLnV83smLFivz8/Ly8vDlz5sR9yN1rXZ8xkZBP9CZMmFBdXe1ehYxo5RW9AwcOTJs27TOdpk+f/s4779irkBGtvKInbwsHDRqUk5MzZcqU3bt3O1chI1op39JnzfQJKemIDhosAACAkNFgAQAAhIwGCwAAIGQ0WAAAACGjwdJo27ZtkydPzs7OLiwsnD9//qlTp6z5yf4fnF7juHX5vwX1WT3uI5YAAMAH9VKjKVOm1NTUNDU1nThxYsGCBTNmzLDmJ/t/cHqN46UL/y2oz+o0VQAAJIvamSbnzp3r16+fNZ3K9785x/HSha+k81mdBgsAgGRRO9Okurp64sSJ1nQq/4OBcxwvXfhPFXxWl5f5+fk5OTmjRo1au3ZtW1ub/+oAAIAGKx127949fPjw/fv3Wy+7/H9wKuN46cJ/C+qzuqWlpWXnzp0lJSWLFi3yXx0AANBgabd9+/aioqIdO3bYc7r2CZZ7HK8HzwN+ghVwdaf6+nr+Z1AAABKiwdJr06ZNgwYN2rVrl3NmF57BijuOl3CfwXJqaGgoKCgIsg8AAJiMBkuj1atXFxUV7d27V5mf7P/B6TWOl+D/LWiQ1cvKympra8+fP19XV1daWrpw4cKAuwEAgLFosDTq4dLU1NSR/P/B6TVOwi36Dxtw9S1btowZMyYrK6u4uLiysrK5uTms+AAAkKlosAAAAEJGgwUAABAyGiwAAICQ0WABAACEjAYLAAAgZDRYAAAAIaPBAgAACBkNFgAAQMhosAAAAEJGgwUAABAyGiwAAICQ0WABAACEjAYLAAAgZDRYAAAAIaPBAgAACBkNFgAAQMhosAAAAEJGgwUAABAyGiwAAICQ0WABAACEjAYLAAAgZDRYAAAAIaPBAgAACBkNFgAAQMhosAAAAEJGgwUAABCy/wMeQO+p99/NQwAAAABJRU5ErkJggg==)
| VMR Tools created by Darren De Zeeuw. |