Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit263-02-20020311_122300_20020311_170800-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/03/11 |
Start Time | | 2002/03/11 12:23 |
End Time | | 2002/03/11 17:06 |
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 | | -4.70 |
Dipole Tilt, in Y-Z GSE plane, deg | | -16.73 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 180.00000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit263-02-20020311_122300_20020311_170800-constBx0 |
Minimum Dst Value | | -8 |
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-10 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAVGh1IERlYyAxNCAwODoxNDowNCBFU1QgMjAxN8mnaGQAAAHMdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQyNjMtMDItMjAwMjAzMTFfMTIyMzAwXzIwMDIwMzExXzE3MDgwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIEdPRVMtMTAgdHJhamVjdG9yeS4iLCAKICAgICJ4YXhpcyI6IHsgImxhYmVsIjoiIiwgIm1pbiI6IjIwMDItMDMtMTFUMTI6MjM6MDAuMDAwWiIsICJtYXgiOiIyMDAyLTAzLTExVDE3OjA2OjAwLjAwMFoiLCAibGVmdCI6NzgsICJyaWdodCI6NzIyLCAidHlwZSI6ImxpbiIsICJ1bml0cyI6IlVUQyIgfSwKICAgICJ5YXhpcyI6IHsgImxhYmVsIjoicmhvIiwgIm1pbiI6MS4wMTY5MzQ5OTk1LCAibWF4Ijo2LjY3MjM2NTAwMDUsICJ0b3AiOjUyLCAiYm90dG9tIjoyNDgsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiIiB9CiAgfQogXX2P7r+qAAAABGdBTUEAAK/INwWK6QAAOH5JREFUeJzt3X9cHPWdP/DwI2EFipBGfiSQkJBY0iYRfaBFQxKSEkQTW/R4WGIwwUibnMUr52GkhhjSo8pZotRDExui9PHAZo1UqRJN+6Ddu2KlPtCQlkswpS2J2COKuo1rS8xq8n0fn/vObXd3ht1ldn69X88/8hgmszOfz7xn5v2eHzs77SIAAAAAqGqa3g0AAAAAsBoUWAAAAAAqQ4EFAAAAoDIUWAAAAAAqQ4EFAAAAoDIUWAAAAAAqQ4EFAAAAoDIUWAAAAAAqQ4EFAAAAoDIUWAAAAAAqQ4EFAAAAoDIUWAAAAAAqQ4EFAAAAoDIUWAAAAAAqQ4EFAAAAoDIUWAAAAAAqQ4EFAAAAoDIUWAAAAAAqQ4EFAAAAoDIUWAAAAAAqQ4EFAAAAoDIUWAAAAAAqQ4EFAAAAoDIUWAAAAAAqQ4EFAAAAoDIUWAAAAAAqQ4EFAAAAoDIUWAAAAAAqQ4EFAAAAoDIUWAAAAAAqs2aBNW2aNfsFABBW4Th4vvbaa4sWLZp0zuFYNHIB6MiaG5/cToWdDQBAQTgOkvn5+c8//7wui8YxX0VYmcGy5voK9lTplVdeWbNmjc1mS0tLu/POO99//33pv44dO1ZUVBQXFzd79uwDBw6IkYcPH165cmVMTAxNv3nz5jNnzvhdyoULF7Zv356YmJiUlFRbW0t/Trq4QFolN9tgFyc3vULvpv1/vuvT73i//E4s10i58XKNDHblYM1P+3sJCQnKjfzjH/+4fv36xAk0QH+quObDQa6/ERERKSkpZWVlIyMjCh8Pof2jo6N33XVXZmbm9OnT6VPFxcUUWb+N8RpJA1/84hc9F0HDixcv9pxA+q/BwcFbbrll5syZM2bMyM3Nfe6558T4v/zlL9TORYsWXXLJJbT0r33ta93d3ZO22bcxIU/gizaqc+fOTX3RIQh3TaAQazIwMHDDDTfET6CB3/3ud54N8yLGBxU+v3t0IFuslqUS57LMmj0P9hixdu3al19+2eVyvfvuu1u3bl23bp0Yf/LkyYyMjPb29g8//PD06dMbNmwQ41evXk0nZE6n86OPPtq9ezclUb9L2bdv31VXXfWnCTSwf/9+5cV5kZtMbrbBLk5u+kl7p8oFwgBDIDderpHBrhy/WK15T4888khNTY1yI6+99todO3Y4J3znO9+hP0NbOZrxLbDEwGefffbnP//5X/7lX/Lz8xU+Hmz733nnnXnz5tFsT5w48be//Y2q6pdeeun666/32xivkTRApdKLL74o/dcLL7xAY3wLrN///vdUHTY1NdFxiWqX3/zmN//wD/8g/ouW9Y1vfIMm+OSTT957771nn3121apVym3225iQJwj5I6YrsJRjPTQ0dNlll+3Zs2d0Au1c9CeNVG5YCOHzmlUgWywKLG2YrOd0KPn2t7+dMoEGpLMiCiFtvunp6XRWKv78t3/7t+TkZDq9+9a3vkVbqjTZxb8/dfBdBOW2uLg4MUwVVUtLi3KTKH3Gxsb6/S/KPZRfxTANLF++XHlxCjwnk5ttsIsLZHq/vQt3mpdbJ3LjPRs5lZUzaWOsveZpN5k/fz7lDOVGUquoL2L47Nmzaq15t9u9c+fOuXPn0pk31Q1ipML+vnfvXsptNpstLy9vYGBAjKdz/SuvvJJG0n+JvOK7s3t1/y9/+csll1xCA9u2bXvqqaek8QcOHKAxyu33uya3bNlCdaffPsp9xLNthw4d8lwE9e65557zbfxtt93W0NDgdxHUHeqUXAM8F6pwkLwos/KVD57BfsT3uO03rHKbgSc6GaYSk/qSkJBw8803j42NBdId5YXSBkAzpOlpRYUQ640bN+7atctzzAMPPFBeXu7VMC8Bhs+T16wm3eP87hSegZh0ZdLJyb/+679mZmYmJSXdcccdH3/8sRjvuxf7LiuQJL5ixYqDBw9KDaaziLS0tGBXixGYrMCi4BUWFo5MoNN92l7FeIrN1772NToflf6kyd6ZQAP19fXSeK8BX52dnQUFBWKYtgBaIoWWNrVNmzbRKbvXxLRhPfTQQ3KXoGjrlDZNOhehbU55cQo8J5ObbbCLm3R6ud6Fu8CSWyd+x3s1ciorZ9LGWHvNU0VCx0rpT7lGlpaW0n5HBzvaHerq6uhP5ekDXPNULtD6+cMf/vDhhx9WV1eLkQr7e0lJyfDwMK2o3bt3SymEdtWOjg46ZNMR+c477/TbX88kMTo6et9994krBFRhrFy58tlnn6Vhu91Ow+fPn1duv981SW2g/OS3j3If8TwuUasWLVr061//mv50OBw0TGN8D1x0aJJuznq54YYbbr311ldfffVvf/ubXDMuBnCQVFj5cvMM9iO+x22/YZWbradly5b98pe/pC7TlllVVVVZWRl4d/wulLZtWpN/nlBUVBRCrClGtD17jqE/U1NTlddJgOHz5DWrQPY4353CMxCTrsw9e/Z85Stf+dOf/kR7K5WM99xzjxjvdy/2WlYgSfzIkSOLFy+mLV/8F+3LjY2NAa4NQzFZgbVgwYLjx4+LYTrVyMrKEsMUm1OnTkmT0Z/SZP/1X//lOZnXgJejR4/SSby0z0RFRdHW8+6EsrKyiooKz4lFVU6ngNJVXy+RkZHiGE1ogOamvDg5XpPJzTbYxSlPr9C7sKZ5uXXid7xvI0NeOYE0xsJrno5ll19++YkTJ6Qxco0Ut0VEI2lAOihPcc0vXLhQunggUdjfqTYSw3/961/FJSiSkZHx2GOPvf322wr9nfb36BScDhHiv86cOUNhqq2tpX+lB+CC3XKio6M9U6PvpQLfj3j975NPPvnVr3714sTdoh/+8Ie+E4iljI+P+23A2bNnKYddccUVNpuNVmBNTY3fU/9JD5IKK1+u78F+xPe47TescrOVQ2sgPT098O7ILXRwcFAM0wf9dkE51rSpeMWIJqaPeE3s9akAw+fJq22BbLG+O4VnIDz5XZnZ2dlvvfWWGKY9hY4DYtjvXuy1rACT+NVXX/3MM89cnLgbTg2g0PhtnsGZrMCibU7aZGmA/hTDFBvPR/noT7nJvAY80fni3LlzX3/9dWkMnQrQGYAYphpr1qxZXh+hjW/Xrl0rVqyQZuu5qyifSfguzuvjCq0K4VJB4POR651nOy/6M/U079tI5fG+jVTxCharNW+322+66SbPMXKNpLPP73znO9IzWPSn8vRy4722ds9dW6Kwv/vt0ZtvvllSUvL5z39+0aJF0l0SuYlFe3bs2OH5rBudT9ME0j1KhfbLSU1N9T09kBY6ffp0rztc1C/KiJ6T0QRpaWk//vGP6V/pLpvXfBSuYEnokEiV0+bNm/1eYp/0IBngyvcU7Ed8j9te/6s8W099fX0URyqXxUYlVRXBdsdzeilSNL3fLijHms6RQriCJfENn98E4Tur0K5geQZi0pVJZahnaShtwH73Yq9lBZjEOzs7v/CFL3z66acbNmygsybfLpiCyQqsAM+QPE/OaMB3MnGn2RMlmNmzZ7/xxhueI/Pz86muEsNUp/sWWBcncqHcQ1QK98L9Ls6X38lCeNglqPlM2rswpXm5dTLpuvJspFrPYLFa8yQnJ+fVV18NpJF0bA3HM1hUEgV1BUuhR3SY7urqkjKZ187uNTH1RbpocezYMTpXfv755+fMmSNdPgx2y6GMWFtb6zVSWujixYt/85vfeP5Xb29vZmam12QPPfRQdHS0dFvEt8C67bbbHnzwQeWWCFQHf+5zn/MdP+lBUm7l+x48JSFcwQrkz0CuYNHIH/3oRx988AGlZPrXd40Fuy0FcgVLOdZUGfg+g7Vx40a/y5UjFz6/SxQC2WKVd4pJVyaVPsPDw76z9bsXey0rwEDQXrx06dJ7772X9g7pAUHTMVmBRaeb0u1bKrHr6urEeN+dpKioSDxeQAO+jwJcdtllnndD9uzZM3fuXGl3khw4cID2B+kWofSEyu23304fP3/+/Ntvv11VVSX3DNbevXv9fptDbnFe5CaTm22wi5ObftLehSPNyzVSbrxcI4NdOX6xWvMXJ14Pcd111wXYSDp8034nrmDdf//90uF7imv+e9/7XkFBwR//+EfPpzcC39/FAO2kdOymwzEVWFTXipFeO7vnZ99///2dO3fm5eVdnHjujQ7o//mf/0nDL7744pVXXinu/ii03+9qP3XqFC1a+mYZdeell16Spnz88cdpKf/xH/9xdoLD4ViyZMnDDz+sMMOL/gqs3//+91RBPvLII7Rmzp079/rrr0vfIly1atWzzz5LJ4S0IVGbt27desMNN/idp/JBUm7le61PTwHGS24Fyv0pN1tPtDZeeOEFWhW0CdGq8F1jwW5LNL30DNb1118fQqzfeustOienGEnfIqQ/pStecuskwPAprLdA9jiFneJiACuzubmZVibNgfa13/3ud1//+tfFeL97sdeyAt9I6OyURra2tip01uDM1NaLE1cU7777bvEFBBqQrjT67iTiCzJJSUn/+I//6Pk9BTFAmS8xMdFzu/HicrnEf9Fxh/YKmg8lP+kh90OHDi1btmzGjBkZGRm0A1CN77e1VINTAS7eGHTfffdJ1z8VFufVC7+Tyc022MXJTa/QO6/5TDreL78TyzVSbrxcI4NdOYG00Npr/uLEldrOzk6vieUaSam9uLj40gl06JdugkxxzVM6oXItPT2d9jVKRWJk4Pu7GDh48CCdW9tsNiqPfvnLX4qRCjv7zJkzv/rVr4oubNq0STzwJFAbxAmVQvvlVvjp06e3bNlCqTc6Ovrzn//8zTff/Nprr0lr4+mnn87NzRUrkAZ+9KMfTTrDaT4ZjlDSojlTq2iDufrqq6X3YP3iF7+g8bQaaT3Mnz//W9/6lt8D1LTJDpJyK99rfXoKMF5y/ZX7U262nugkgUI/ffp0OqV57LHHfNdYsNsSTfDNb36TVg6tou9+97s0Z79dUIg1+e1vf0s7S9wEqtKOHTvmuSC/+2OA4fM7EzEykD3Od6cIamV+9tlnND47OzsmJoZOGKSjh9+92GtZgW8ktEkvWrTI7XZ7dVlubRiQmdoKAACqMFei0hfVSVTr6N0KnX366afSE/rauOmmm3784x9ruUTVYR8DAGAHBdakqqurR0dHT5069ZWvfOWf//mf9W6Ozvr6+qRvC4bbZ5999uSTTy5dulR6U4NJYR+DsPC9AG7AA7opGhksS3YKVIetYlLNzc3p6enJycnf+MY3TPqaABXFx8c/8cQT2iyLNs7MzEwq6bRZXPhgHwMAAABQGQosAAAAAJWhwAIAAABQGQosAAAAAJWhwAIAAABQGQosAAAAAJVxKbD8fncdAAAANKZ3RaARNv1kE1EAAADD4pOO2fSTTUQBAAAMi086tnI/eV6TBAAAMCw+6ZhNP9lEFAAAwLD4pGM2/WQTUQAAAMPik46t3E/cIgQAADAUPumYTT/ZRBQAAMCw+KRjNv1kE1EAAGUOh6OysrKzs3NsbEzvtgA7fNIxm36yiSgAgILjx49HRkZKz06kpqauX7++pqbGbrcPDAy43W69GwgWxycdW7mfeAYLAMDT4OBgSkqKVFrFx8d7HSdtNltOTs5tt91WWlr6q1/9Su/2ggXxScds+skmogAAfvX09CQmJtLBMDc3t7W1dXx8nEYODQ11dnbW19eXlJQsXLjQs9iKiIh4/PHHcU0L1MUnHbPpJ5uIAgD46urqEterSktLRWnll8vl6u3tzc/Pl8osqsaoMtOyqWBtfNKxlfuJW4QAAMRut0dHR9NhsLKyMpArUlSB0Uf+/d//PT09XRw/y8vLR0ZGNGgqWB6fdMymn2wiCgDgqbm5WRRJNTU1wX6WKq26ujqbzUYfj4+Pb2hoULj6BRAIPumYTT/ZRBQAzOvBBx8sLi4+ePCgWi9QqK2tFdUVlVkhz2R4eLi0tFTMZ+HChZ2dnaq0DXjik47Z9JNNRAHApPr7+z2favD7AoXx8fGuri6XyzXp3Gj6bdu20Xyio6Pb29un3rzu7u4lS5aIthUWFg4ODk59nsAQn3Rs5X7iGSwAMJE333xTHKwWLVok9wKFjIwMGr788suVL3FRdSWuOdF8VLzgRLNtaWkRX0WMiIiYO3fu0aNH1Zo5MMEnHbPpJ5uIAoBJVVZWim/5iT8VXqCgcInr4sQ3AcXXAKm6CscXAKm2KyoqkppRUFDQ2toayEU1gIuc0jGbfrKJKACY0ejoqM1mi46OprrK7wTiBQq7du265pprli1bJneJ6+abb46JiaE/k5OTw3cXj1qbkZFxySWXiGWJpZeVlXV1deG9WaCMTzo2QT+PHTtGZ0txcXGzZ88+cOBA4B/ELUIAMIvq6mo6TFGNEvhHlC9xtbS0hK+1AtVSVPa1tbUVFhZKy501axb1pa+v7+LEi+PD3QYwHT7p2Oj9PHnyJJ0ntbe3f/jhh6dPn96wYUNo8+ETUQAwHXH5ig5T/f39Ic9EXOLavXv3vHnzVq9erfE9u5GRkcbGRukpeEJnxfTvli1btGwGGB+fdGz0flJFpcp5GJ+IApjI/fffX1JS8s477+jdEJ3V19fTMYpWhd4NUQHViNXV1ampqaLMSk5O1rtFYCx80rHR+5mSkrJz5860tLSZM2du2rTJ6XSGNh8+EQUwha6uruXLl4scnJWVxfnBHTqsie/lidtq1kAB/e53vxsZGUn9wi/tgCc+6djo/YyKiiovL393QllZWUVFhcLEvt+ywTNYAIYyNjbW1NSUmZkp9sqIiAgxIH11jiFx+aqgoEDvhqhPdC07OxvvfwcJn3Rs9H4mJCS89957YphqrFmzZoU2Hz4RBTCmvr4+OkESTxoRqrGo0vrDH/7w4osvii/EVVdX691GHVDlIe6mORwOvduiPrfbTdUV9a62tlbvtoBR8EnHRu9nfn4+1VVi+MyZMyiwAEyku7v71KlTbW1tubm50rXk9evXd3V1eU7W09Mjfoq4oaFBr6bqRfxQIB3o9G5IuPT29kZPmMrz+2AlfNKx0ft54MCBjRs3SrcI77jjDum/Jg0SbhEC6GjHjh2eNwHp7KimpmZ4eNjvxB0dHaLG0uDlAsYhXb6y9q/7iTdQ5OTkcH7SDiR80rEJ+vnAAw/QoTkpKen222/3fMg9qCDxiSiA7mg/rauri4qKEqXVsmXL2traJn0KZ9++fdMmfjiPii1t2qm71tZWUXno3ZDwcrlc4qm7pqYmvdsC+uOTjtn0k01EAXTkdrubm5vpjEiUVosXL3700UcD/3hjY6OosSz5QJIXWlfi7aDWvnwldHd3T5t42ztePQp80jGbfrKJKIBe7Ha79D7xgoKC3t7eEGYibifFx8eH9nETaWtro57SGmNy46yiosKqX5aEoPBJx1buJ57BAtCGw+GQHmPPzs6e4iWZsrKyaRO/ZGztqx3ipedUZundEI04nU7xwBmrx+zAF590zKafbCIKoKWBgYH169eL0orSZ2tr69Svx9AcxDzT09NHR0dVaafRUA3K6vKV0NHRQb1OTEwcGRnRuy2gGz7pmE0/2UQUQBXuCb7jqeKhosrhcDQ1NS1fvlx89Y9SZn19vYovk3S5XPn5+eJ62NjYmFqzNY6cnBzqXXNzs94N0Vppaal4VYfeDQHd8EnHVu4nbhEChGZ4eDgtLe3SSy/dunVrRUVFYWEhFQTp6enTfERERFRVVYXjOpPT6RTvqMzKynrrrbdUn7+Ojhw5Ii74MXy/+cjIiPhdILvdrndbQB980jGbfrKJKMAUUbW0du1a31pKep0V1T0FBQWxsbH0J00Z1pbExMTQUmhZLpcrfAvSGK09npevBPF0P21Ilrw2CZPik47Z9JNNRAFCRgVNdXW1+DWbiIiIjIyM+++/n9LhkSNH+vr6vN4ROjQ0tG/fvnDnyCuuuEIUdvn5+daosRwOh7ipao3uhEaUmOXl5Xo3BHTAJx2z6SebiAKEwLO0io6OrqiooPpJ70b9D2pYQ0NDcnKyZWqs4uJi6kt9fb3eDdETFeviByi9fjQJOOCTjq3cTzyDBTApw5ZWngYHB8U3/M1eY/X394vLV54/SsFTU1MTrYqYmJjNmzfr3RbQFJ90zKafbCIKECBTlFYSa9RY69atoy7U1NTo3RD9ud3utLQ0cfbb19end3NAO3zSMZt+sokowKROnTq1du1a8fy48UsridlrrEcffVQ83EbrX++2GMLTTz8tfgv8Zz/7md5tAe3wScdW7iduEQL4crvdKSkpYqfYtGmTKUoriXlrrNbWVlHRkoGBAb2bYxQPP/wwrZDMzExzRROmgk86ZtNPNhEFUNbQ0CDS/GWXXWbG14ibrsaiBosvzREqbe+55x69W2QgtAXm5eXRmqmqqtK7LaARPumYTT/ZRBRAQU9PT/SE7du3m+valSez1FhUPVA5K55ymzVrFl6t6RdFU6wih8Ohd1tAC3zSMZt+sokogByn0ynexl5bW6t3W6bK+DVWb2+v+DlnUlFRga8NKhDfKMSNQib4pGMr9xPPYAF4KikpERWJGe8M+pJqrDlz5tx77716N+f/UJVQVVUlfqVx4cKFuDAzKdwoZIVPOmbTTzYRBfCrpaVFvIHJ64XspkY11uc+9zlxBpWVldXQ0KDvfU9at11dXeIyIRVYtbW1DH9tMDS4UcgHn3TMpp9sIgrgq7+/X2Svzs5Ovduisqeeekp81V+Sk5OjS6W1atUqqQ15eXm0zjVugNnhRiETfNKxlfuJW4QAFyfuWGVnZ9MusG3bNr3bEhbDw8Nnzpyh2rG8vFz8AIv2ldbo6GhUVBQtNDIysrm52Ro3YTWGG4VM8EnHbPrJJqIAXioqKkS1weF2FfXRt9JKSkq69NJLDx8+HKaFUnUlStiEhITnnnsuTEvhwLw3Cuk0ZvXq1V/4whfefPNNvdtidHzSMZt+sokogCe73U4bP1Ub3F5uKVVasbGxosyaN29eOBYkVVf0Lw2HYxGsmPFGIW1smzZtEpsZFdnWuxGvLj7pmE0/2UQUQDI0NCQu5LS2turdFt1Q8lu9erV4Tqurq0vdmaO6Up3pbhTSRrVw4UJRXYmvjpLS0tKRkRG9m2ZQfNKxlfuJZ7CAM0pUubm5tOWXlZXp3Rb9iesiqampY2Njas0T1VWYmOVGIbWzuLhY5BfaBrq7u2mna2lpEWc1iYmJ+/btU32hP/vZz3bt2mWiy3u++KRjNv1kE1EAobq62nS3WsJK/F5NaWmpKnNDdRVWBr9R6HQ6a2pqxPUqKqS8vtYwMjKyfv16UXjl5+dTHabKQru6uoqKiqT73SqeKmiMTzo2ej/VugrFJ6IA4+Pj+/fvFzcs+vr69G6OUQwPD4tLC+3t7VOcFaqrcDPyjcLW1lbxhlvavyorK+UKnY6ODjGZzWarr68P+YulNH8qN6nW9MqG5t32+KRjo/dzikUVbhECN1RdXXbZZWKbp+Oy3s0xlra2NnHJYSrPx6C60oZ0o3DPnj16t+V/Cr6uCeK2u7g0NenZi9PppApMqod6e3uDWijNv6KiQqwEcT2P9mhqw8MPP/zFL35R3PJW6/KYlvikY6P3U61I8IkoMPfWW2+Jw/GcOXP0bosRiXs3hYWFoX0c1ZWWdu/eLTbmrVu36ntHbMuWLdK5enp6elAXQR0Oh9hmRFn2+OOP0xgqjOR6ROdIdCYgVXKENlqv72e4XC6a1bSJHxHv6emZUt80xycdG72fYgOKjY1dsmTJD37wg08//TTk+ajbMAADkg67M2fOPHr0qN7NMSLKanRIoVXU0tIS7GdRXWlMOlsQUlNTqdSoqamx2+0DAwPSTbfwvdaVtpbm5mbPWoeWHsJjYVQz1dXVef3kgHRdiuZfXFxcUVGxffv2FStWJCQkiP+iDZUWJ/fbVjTP0tLSaRMvYVH967FhxScdm6Of586d6+vrW758eXV1tcJkvtsubhECH5RmxAGX8hC+Iq6go6NDpKXAb6/Qut25c6e494rqSktPP/001RxUgni+OVaw2Ww5OTlXX311ZGQkTVAvgyqbG2+88dZbb+3u7g7wMhjVLlTDUTEnvXbh0ksv/fKXvzzFt8iKtzkkJycXFBTQcGJioly2+tKXvtTW1jbpm4Fps9y2bdu0iafBpv5koWb4pGMz9fP06dO0RYb2WT4RBbbKy8unmfaxDI2Jt9vn5eUFcvHD8zWStHpRXellaGios7OTaqaSkhLp1VPBUr4M5nA4KisrpWKOChdaFlXkqvwKAp32tLa2em4/tNDh4eHe3t6uri6qqKgQpIVGRUUFdYJEFaRobXNz89QbqQE+6dhM/aRtLiUlJbTP8oko8CReykCJwXQPZOjC6XSmp6fTGmtoaFCe0vM1kuQnP/mJNi2ESblcLipNvvnNb1IoqTSRu4J12223idgtXbpU7jJYZmYm1VIzZ86UxlPx3dLSov2DX93d3SH8eiaVVuJim/JNHoPgk46N3s+ysjI6yfjkk09OnDhRWFh49913S/8VVJD4RBQYamxsFGfbBn8xo6HQuhIrrb+/3+8EXq+RPHjwoDa/Gw2q6+vrky7rKl8Go0qrrq7OjIHu6OgQNVZ5efmk19tobejYRz7p2Oj9PHTo0LJly2JiYrKysnbs2OG53UwaJK89J8wtBdAHnWeLQoGOsHq3xWSqqqpo1S1ZssQrISm/RhKsRFwGu/HGG9PT0x977DG9mzMldM4gLtFFRkZeddVVcpf0pG9EPvHEE7p8N5NPOmbTTzYRBVak09Zw/CiH5VFdJb4VSOWUNDLA10gCGFBfX9/06dMnfxLNg9xDaeHDJx2z6SebiAIf3d3dorrCC0VD1tvbGz2Bzv5pOKjXSAIY0N69e+fMmVNcXKzwtcqioqJVq1Z9+ctflnsojbb/K6+88te//nU4WsgnHVu5n7hFCBbW09MjDo6meKzVyCjliOtV4kAR7GskAUxN4aG0xMTEcPwWJJ90zKafbCIKHAwODoq3ZVZUVOjdFtNzu93Sqx1De40kgGWIh9Lmz58vXcpVfY/gk47Z9JNNRMHyhoeHxUNCpaWlePhaFbW1tbQ+Fy9erHdDAIzC4XCI44zqNRafdMymn2wiCtZGR72YmBjanq+77jpVXn4IApWtqFYBPA0ODoajxuKTjq3cTzyDBRbT3d0tPZT6wgsv6N0cALC4cNRYfNIxm36yiShYktvtFrexSFxcHC5fAYA2VK+x+KRjNv1kE1GwnuHhYfH6gOjo6MbGRtzJAgAtqVtj8UnHVu4nbhGCBdjtdnFbMDMzs7e3V+/mAABHKtZYfNIxm36yiShYBh3FKioqxOlBWVmZ0+nUu0UAwJdaNRafdMymn2wiCtbQ398vXvoXHx/f2tqqd3MAANSpsfikYzb9ZBNRsIDm5mbxYvGcnBw6oundHACA/yXVWHSMKi4uDmEOfNKxlfuJZ7DAdHbu3BkXFye22OrqanxVEACMhmosm80mDlMhPBjKJx2z6SebiIIZjY2NNTc3S780HBkZ2dXVpXejAAD8a29vFzVWampqsDUWn3TMpp9sIgomMj4+brfb169fL/3SMB2zYmJitm/frnfTAACUOJ3OwsJCcdQK6vfR+aRjK/cTtwjBsBwOR2VlpfRadiqwSkpKOjo6cE8QAMzC7XZv27ZNHMTq6uoC/BSfdMymn2wiCka2f//+oqKiOXPmSHV/Xl5eS0vL2NiY3k0DAAjFvn37xDV4OksM5KuFfNIxm36yiSgY1pEjR6S6KjMzk074hoaG9G4UAMBUdXd3JyYmii8+j4yMKE/MJx2z6SebiIIxjY6OZmVlierq/vvv17s5AABqGhwczM7ODuSxdz7p2Mr9xDNYYBBUXYlDz4IFC37yk5/o3RwAAPUF+Ng7n3TMpp9sIgpGI1VX9C8N690cAIBwCeSxdz7pmE0/2UQUDAXVFQBwIz32Pm/evF/96lde/8snHVu5n7hFCPpCdQUAPH3/+9+Xkm96enplZWVHR4fL5ert7eWTjtn0k01EwSBQXQEAW3TQS0hIiIqKSkpKkiot+pPV9Q42/WQTUTACVFcAwNz4+Lg4+vX19TU0NOTn50dGRqLAMpyxsbGMjIypRIVPREF3qK4AAHxRKt+yZQufdKxdP6mYraury8rKstls9O8DDzxw7ty5AD971113Pfjgg8FGBc9ggfZQXQEAKOCTjrXr5913371mzZqBgQGqtOjf1atXf/vb3w7kgydOnKCCjD6FK1hgcKiuAACU8UnH2vUzJSXF8w36NExjAvngjTfe+Mwzz1ycWlT4RBT0cvDgQfHNZFRXAABy+KRjoxdYP//5z6+55poLFy5cDCAq0xRNsf0AytLT08WW9tprr+ndFgAAg+KTjjW9RVhYWHj8+PHx8XH6l4YDuUW4dOnSnp4eMYwrWGBY4uUuERERt9xyi95tAQAwLj7pWNOH3Hfs2LFgwQKbzUb/7ty5M5CH3NW6EMUnoqCL/Px82sbq6+v1bggAgKHxScdm6qdXVIIKEp+IgvY6OzunTfyGvNPp1LstAACGxicdm6mfwRZYeAYLNOB2uxcuXEgb2L59+/RuCwCA0fFJx9r1c2BgYPny5ZdccokuRQ+fiILGWlpaaOuiGosqLb3bAgBgdHzSsXb9zMvL271791//+lfNluiJT0RBS06nMzU1lbauzs5OvdsCAGACfNKxdv202Wwff/yxZou7iFuEEH51dXW0aRUUFOjdEAAAc+CTjrXr57x584aHhzVbnBc+EQXNjI6O0mkDbVq9vb16twUAwBz4pGPt+vnEE0+UlJTo9YZrPhEFzVRUVNB2VVZWpndDAABMg086Dm8/lV+tjofcwbz6+/ujJwwNDendFgAA0+CTjq3cTzyDBeFTXFxMG1V1dbXeDQEAMBM+6Vi7fkZERGi2LF98Igoa6O7upi0qMTERbxYFAAgKn3SsXT/nzJnz3//935otzgufiIIGcnJyaItqbGzUuyEAACbDJx1r189HHnnklltuOXXq1IULF7RZIm4RQji0tbXR5pSZmTk+Pq53WwAATIZPOtb0MXM85A5mR0VVeno6bU5UZundFgAA8+GTjtn0k01EIawaGxtpW8rJydG7IQAApsQnHVu5n7hFCOoaGxtLTEykbcnhcOjdFgAAU+KTjtn0k01EIXyqq6tpQyouLta7IQAAZsUnHbPpJ5uIQpg0NzdHRERERUUNDAzo3RYAALPik47Z9JNNRCEc3G53ZGQkbUWpqal6twUAwMT4pGMr9xPPYIFaGhoaxFZ0zz336N0WAAAT45OO2fSTTURBdT09PeJnB9vb2/VuCwCAufFJx2z6ySaioC6n0ylefFVbW6t3WwAATI9POrZyP3GLEKaupKSENp78/Hy32613WwAATI9POmbTTzYRBRW1tLSIH3UeHh7Wuy0AAFbAJx2z6SebiIJa+vv7bTYbbTmdnZ16twUAwCL4pGM2/WQTUVCFy+XKzs6mzWbbtm16twUAwDr4pGMr9xPPYEHIKioqxG8Ojo+P690WAADr4JOO2fSTTURh6ux2O20w8fHxeGk7AIC6+KRjNv1kE1GYoqGhISqtaINpbW3Vuy0AAFbDJx0bvZ+HDx9euXJlTExMWlra5s2bz5w5E/hncYsQguV2u3Nzc2lrKSsr07stAAAWxCcdG72fq1evfv75551O50cffbR79+41a9aENh8+EYWpqK6upk0lMzPT5XLp3RYAAAvik47N1E/KebGxsaF9lk9EIWRHjhyh7SQ6Orqvr0/vtgAAWBOfdGyafn788ccPPfTQunXrQvs4n4hCCNxud1tbW0JCAm0nTU1NejcHAMCy+KRjc/RTPESVnJw8NDQ06WRyNGstmM5Pf/pTsZHk5ubq3RYAACvjk45N08+zZ8/u2rVrxYoVoX2cT0QhBNdff70osA4dOqR3WwAArIxPOjZTP6nGiouLC+2zfCIKwWptbaXNY8aMGY8++qjebQEAsDg+6djo/bz99ttPnDhx/vz5t99+u6qqyvMZrEmDhFuEMKne3t7o6GjaPNra2vRuCwCA9fFJx0bv56FDh5YtWzZjxoyMjIytW7d+8MEH0n8FFSQ+EYXAjY6Opqam0rZBtbvebQEAYIFPOmbTTzYRhQC53e68vDzaMAoKCmhY7+YAALDAJx2z6SebiEKAKisraatIT08fHR3Vuy0AAFzwScdW7ieewQI54sF2m82Gd4oCAGiJTzpm0082EYVJ4cF2AAC98EnHbPrJJqKgDA+2AwDoiE86tnI/cYsQvODBdgAAffFJx2z6ySaioAAPtgMA6ItPOmbTTzYRBTl4sB0AQHd80jGbfrKJKPj11FNP4cF2AADd8UnHVu4nnsECYcuWLWIbwIPtAAD64pOO2fSTTUTBi9vtTkpKog0gOjp6fHxc7+YAALDGJx2z6SebiIKXhoYGin5sbOzBgwf1bgsAAHd80rGV+4lbhNDT0xM9obu7W++2AAAACizL4RNRkDidzvT0dAp9bW2t3m0BAID/wScds+knm4iCpKSkhOKen5+Pd4oCABgEn3TMpp9sIgpCS0sLBT0xMXF4eFjvtgAAwP/ik46t3E88g8VWf3+/zWajoHd2durdFgAA+D980jGbfrKJKLhcruzsbIr4tm3b9G4LAAD8HT7pmE0/2UQUKioqKNw5OTl46xUAgNHwScdW7iduETJkt9sp1vHx8QMDA3q3BQAAvPFJx2z6ySainA0NDVFpRbFubW3Vuy0AAOAHn3TMpp9sIsqW2+3Ozc2lQJeVlendFgAA8I9POrZyP3GLkJXq6mqKcmZmpsvl0rstAADgH590zKafbCLKkNPpfOyxx8TPOff19endHAAAkMUnHbPpJ5uIcuNyuRISEsRFyqamJr2bAwAASvikY6P385VXXlmzZo3NZktLS7vzzjvff//90ObDJ6LctLe3i+oqIyND77YAAMAk+KRjo/dz7dq1L7/8ssvlevfdd7du3bpu3brAP4tnsKzN7XbX19dHR0dTcNPT048fP653iwAAYBJ80rGZ+vnRRx/FxcWF9lk+EWVidHS0sLBQPHdFZRZ+zhkAwBT4pGMz9bOzs7OgoCC0z/KJKAfd3d2pqakUU/qXhvVuDgAABIpPOjZNP48ePTp//vyTJ08qTDNNkWZNhfDxvC1YWFg4Ojqqd4sAACAIfNKxOfrpcDjmzp37+uuvhzwHPhG1MNwWBAAwOz7p2AT9tNvts2fPfuONN6YyEz4RtSrcFgQAsAA+6djo/dyzZ8/cuXMHBwd9/yuoIPGJqPXgtiAAgGXwScdG76fvo1TSD6FMGiQ8g2UBR48eTUtLw21BAABr4JOO2fSTTUStpLu7Oz4+XtTHzc3NejcHAACmik86ZtNPNhG1BrfbXVtbK0qryMjI5ORkp9Opd6MAAGCq+KRjK/cTtwhNanh4ODc3V9wWbGxsHB0dHR8f17tRAACgAj7pmE0/LRTRH/7wh8XFxdu3b6+XQf916623NjU1ORyO/v5+qld8ZzI4OOh3vO7sdru4LZiZmdnb26t3cwAAQE1WSsfK2PTT/BF1u91dXV2rVq1Sfp+qnMTERCpZCgoKSkpKqD4Tt96+973vURFGxdbY2Jje/bvocrkqKipEa8vKynBPEADAeiyQjgPEpp9mjihVP42NjVQeeRZMRUVFclewLr/8cpogPj6eyqklS5akp6cHWITRInJzc6n8okJn/fr1V1xxxZNPPqlN7dXf379w4ULR7NbWVg2WCAAA2jN1Og6KlfvpVT3o3ZxQ9Pb2lpeX22w20QUqQZqamo4fP+5wOBQ+RSUR1ShedwBp5NDQEH2wo6Nj7969hYWFK1as+PrXv05FGM02MTFRofBKTU2lequmpsZutw8MDKj4roTx8fHu7u7vf//74jVXOTk5ft95BgAA1mDSdBwCNv00VUSp7KAKSTzoPW3iWW+qb44cORLWhVLZRDUZlXRdXV1tbW3iuldGRob0ogQJFXxUCa1bt27BggUbNmwI+c2f9MHs7GxpttXV1XiYHQDA2syVjqeCTT9NEtHf/va3V199dWxsrKg5Zs2aVVtbq9fT6CMjI2JgaGios7Ozvr6+pKRE3MjzkpiYmJeXt23btubmZioE/ZZcVDz19/dT6UaFVGFhIXVN+nhUVBRVddp2DgAAdGCWdDx1Vu6n6W4Rtra2SncDly5d2t7ebswrOi6Xq7e3d/PmzVQYUWnlWSp5lVzLly9fuXJlaWnpkiVLxE1Ar2lyc3NpMvy2IAAAE6ZIx6pg009jR3RwcLCgoECqPGJjY43wtb5JSfUftdbhcLS0tFRVVVFH/JZchMosKrYaGxu7urqky2MAAMCHwdOxitj006gRdbvdDQ0N4sIV1SV2u52KLQu8oYBKroMHD06fPp369U//9E99fX3GvBoHAABaMmw6Vh2bfhoyor29vUuWLBFXdyoqKixQV3kZHR0dGhrSuxUAAGAUxkzH4WDlfhr5GSyXy1VVVSUeS1q4cKHyaxcAAACswWjpOHzY9NNIEe3q6hIvQaACq7a2FvfOAACACUOl47Bi08+wRVS8Pqqvr++ll15aunRpRkZGdXW13DvW77rrri996UviilpeXl5/f3+YWgUAAGBAKLCsQMVbhKOjo/v377/22mtLS0vFz8jk5+dnZmb6voQzEFFRUc3NzSq+Dx0AAMAUUGBZTSARdblcYkDhlZh+UaWVk5NDJRdNOXPmzKqqKrkrWKmpqTT9mjVrwtxdAAAAI0KBZTXKER0dHaUKKTo6+pprrpF7Jeb8+fNpgOqnAwcOdHZ2OhyO4eHhYL/3R9N3dHRIlRwAAAArKLCshiIq/eBMIBeo/L4Sc3BwEA+kAwAAhAwFlhV41UyRkZE33HCD3AWqBQsWzJ49+7777sMrMQEAAMIEBZbVBHKBCgAAAMIKBZbVUEQ3btzY2tqKC1QAAAB6QYFlBV5XrfRuDgAAAHd80jGbfrKJKAAAgGHxScds+skmogAAAIbFJx2boJ+q3OPjE1EAAADD4pOOTdPPEEKCZ7AAAAAMhU86Nk0/cQULAADA7PikY9P0EwUWAACA2fFJx6bpZyAh8f3FGwAAADAUDWoGIzBNPzUOiWaL02ZBWAqWYpkFYSlYijWWotmCrLQUczHNGkGBhaVgKUZeimYLwlKwFGssRbMFWWkp5mKaNeIbvLCGEzsYloKlGHNBWAqWYo2laLYgKy3FXEywRuTu3aLAwlKwFOMsRbMFYSlYijWWotmCrLQUc8EaYQGbvjEhLoaF0BgT4mJYCI0vrBEWsOkbE+JiWAiNMSEuhoXQ+MIaYQGbvjEhLoaF0BgT4mJYCI0vrBEWsOkbE+JiWAiNMSEuhoXQ+MIaYQGbvjEhLoaF0BgT4mJYCI0vrBEAAAAAlaHAAgAAAFAZCiwAAAAAlaHAAgAAAFAZCiwAAAAAlaHAAgAAAFAZCiwAAAAAlaHAMiXfn74mhw8fXrlyZUxMTFpa2ubNm8+cOeP7wQsXLmzfvj0xMTEpKam2tpb+VB4PQfEbF2FsbCwjI0PuVTGIS7j5DY3cD8l7QmjCSm7lHzt2rKioKC4ubvbs2QcOHPD9IOISboHsMgkJCb4fRGgkKLBMzGvTX7169fPPP+90Oj/66KPdu3evWbPG9yP79u276qqr/jSBBvbv3688HkLgN1XfddddDz74oFwWR1y04ZstJv0IQqMBr0CcPHmSzkba29s//PDD06dPb9iwwfcjiIs2FPaRRx55pKamxnc8QiNBgWViCpu+y+WKjY31nfLaa699+eWXxTANLF++XHk8hMA3LidOnMjKyhofH5dL8IiLNgIvsBAaLXkFgiqqlpYW5SkRF23I7SOffPLJ/Pnz33nnHd8pERoJCiwTk9v0P/7444ceemjdunW+UyYkJIyNjYnh9957LzExUXk8hMA3LjfeeOMzzzzj+1+Ii8Z81/+sWbPoVGTJkiU/+MEPPv30U98pERoNeMUlJSVl586daWlpM2fO3LRpk9Pp9J0ScdGGXJbZv3//HXfc4XdKhEaCAsvE/G764tZ4cnLy0NCQ7/9GRkaeP39eDNNAVFSU8ngIgVdcfv7zn19zzTXigQO5oxXiog2/6//cuXN9fX10Pl1dXe37vwiNBrziQiuzvLz83QllZWUVFRW+H0FctOF3l/nss88uv/zyEydO+P0IQiNBgWVictn67Nmzu3btWrFihe9/4dxCA15xWbp0aU9Pj9//kiAu2lC4J3j69Gm/qxeh0YBXXGjd0ioVw1RjzZo1y/cjiIs2/O4ydrv9pptukvsIQiNBgWViCtmCaqy4uDjf8bg7rgHl7934jRriog2FXWZkZCQlJcV3PEKjAa+45OfnU10lhs+cOeO3wEJctOF3l8nJyXn11VflPoLQSFBgmZjXpn/77befOHHi/Pnzb7/9dlVVld9nsPbu3ev3exxy4yEEgTw67fUn4qINr/VfVlY2MDDwySef0I5TWFh49913+06J0GjAKy4HDhzYuHGjdIvQ81kfxEVjvkezw4cPX3fddQpTIjQSFFim5PeKyKFDh5YtWzZjxoyMjIytW7d+8MEHntOLgQsXLtx7772JE+677z7PN5T4HQ9BmfRKlVyBhbiEm8IuExMTk5WVtWPHjvHxcc/pxQBCE1Zyu8wDDzwwa9aspKQkOm/0+5A74hJucqHJz8/v7Oz0O70YQGgkKLAAAAAAVIYCCwAAAEBlKLAAAAAAVIYCCwAAAEBlKLDM55VXXlmzZo3NZktLS7vzzjvff/99MT7Yn9iUm48XuY8H8tvSgtxD3woPgwMAAJgacpv5rF279uWXX3a5XO++++7WrVul1zEE+xObcvPxIvfxQH5b2pNcIYUCCwAArAe5zdyouJFeKDqV17t5zsdLIB/3+m1pv1BgAQAAH8ht5tbZ2VlQUCCGp/IDBZ7z8TLpx31/W9ovFFgAAMAHcpuJHT16dP78+SdPnhR/hvwTm17z8aL8cfEQldxvS3tNGdR4AAAA80JuMyuHwzF37tzXX39dGhPaFSzf+Xg9ez7pFSyv35ZWeKTdb0dQYAEAgPUgt5mS3W6fPXv2G2+84TkyhGew/M7HSyDPYMn9trQnFFgAAMAHcpv57NmzZ+7cuYODg17jg/2JTbn5BDhbhd+W9gsFFgAA8IHcZj7TfLhcrovB/8Sm3Hy8yH1c4bellRs86XgAAACzQ1YDAAAAUBkKLAAAAACVocACAAAAUBkKLAAAAACVocACAAAAUBkKLAAAAACVocACAAAAUBkKLAAAAACVocACAAAAUBkKLAAAAACVocACAAAAUBkKLAAAAACVocACAAAAUNn/A7ZchR3u9e9IAAAAAElFTkSuQmCC)
| VMR Tools created by Darren De Zeeuw. |