Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit253-08-20020216_220600_20020217_025100-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/02/16 |
Start Time | | 2002/02/16 22:06 |
End Time | | 2002/02/17 02:49 |
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 | | 17.55 |
Dipole Tilt, in Y-Z GSE plane, deg | | -30.39 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 188.90000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit253-08-20020216_220600_20020217_025100-constBx0 |
Minimum Dst Value | | -5 |
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 Geotail for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAU3VuIERlYyAxMCAyMzo1Njo0NyBFU1QgMjAxNxYoSZkAAAHNdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQyNTMtMDgtMjAwMjAyMTZfMjIwNjAwXzIwMDIwMjE3XzAyNTEwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIEdlb3RhaWwgdHJhamVjdG9yeS4iLCAKICAgICJ4YXhpcyI6IHsgImxhYmVsIjoiIiwgIm1pbiI6IjIwMDItMDItMTZUMjI6MDY6MDAuMDAwWiIsICJtYXgiOiIyMDAyLTAyLTE3VDAyOjQ5OjAwLjAwMFoiLCAibGVmdCI6NzgsICJyaWdodCI6NzIyLCAidHlwZSI6ImxpbiIsICJ1bml0cyI6IlVUQyIgfSwKICAgICJ5YXhpcyI6IHsgImxhYmVsIjoicmhvIiwgIm1pbiI6OS43MTUyOTk5OTk1LCAibWF4Ijo0MS4wNTg3MDAwMDA1LCAidG9wIjo1MiwgImJvdHRvbSI6MjQ4LCAidHlwZSI6ImxpbiIsICJ1bml0cyI6IiIgfQogIH0KIF19pyqrJAAAAARnQU1BAACvyDcFiukAADdISURBVHic7d17WFT3nfhxgxdGIGYwrFckqGhNlrhESReEGDRo6YqNtiTaxFuiWd1Et+yuFxJJ1F0T2S1m0SWRrmarWdMSw2N5GjV01y3bJ2mpxWq7bGRTbVBpFyOmVLFFxcDv83B+v/Obzsw5zAxnmDPzfb/+4DlzOJfv5cz5fM51BnQDAADAUgNCXQAAAIBIQ4IFAABgMRIsAAAAi5FgAQAAWIwECwAAwGIkWAAAABYjwQIAALAYCRYAAIDFSLAAAAAsRoIFAABgMRIsAAAAi5FgAQAAWIwECwAAwGIkWAAAABYjwQIAALAYCRYAAIDFSLAAAAAsRoIFAABgMRIsAAAAi5FgAQAAWIwECwAAwGIkWAAAABYjwQIAALAYCRYAAIDFSLAAAAAsRoIFAABgMRIsAAAAi5FgAQAAWIwECwAAwGIkWAAAABZTJcEaMECVmgKAhYKx8/zRj340adKkXpccjFVHcCyI4KqFKVX6w2jLY4sEABPB2ElmZ2cfPnw4JKuOvH2+XiMLqxZ5rRQSqjSiv4dK77333uzZsx0Ox+jRo1euXHnlyhV9Mlf69EePHp05c2Z0dLRMv3z58kuXLnldS1dX18aNG51OZ3x8fFFRkXzUxv/yl7/Mz8939pAB+eh1dqNSGS3WaLy/yzGa3rVB3Ir6s5/9bO7cubGxsWPGjHnjjTdMWt5o4f4W0mil/jZOWLe82/Y5bNgwk0r5u1Kjjd+oMJa0fDAYFf6OO+4YOXLk4sWLm5ubTWYPoPwtLS3PPvtscnLy4MGDZa68vDzZY3gtjNtIGbjvvvtcVyHD9957r9eY2tjY+OUvf3n48OFDhgxJT09/5513tPG//e1vpZyTJk0aOnSorP3RRx89fvx4r2X2LEzAE3iSLfPGjRt9X3UAgp06mPS1v/wtqvm21A9Iy9yo0hz+7iPmzJlz7Nix9vb2Tz75ZPXq1fPmzTNfzqxZs+SArK2t7dq1a9u2bZP45HWyioqKadOmfdxDBvbu3auNz8zM3Lx5c1uP559/Xj56nd2oVEaLNRrv73KMpjdqvY8++mjcuHEHDx78zW9+c+HCha9+9ateq2O+cH8LabRSfxsnrFve1auvvrp+/XqTSvm7Un+/RJa0fDB4JljawGefffbrX//6b/7mb7Kzs01m97f8v/rVr+655x5Z7JkzZ37/+99Lwvruu+9+4Qtf8FoYt5EyIKnSd7/7Xf1f3/nOd2SMZ4L1i1/8QrLD0tJS2fgld/nxj3/8la98RfuXrOuZZ56RCW7evHn58uW333774YcfNi+z18IEPEHAs4RdgmXe1/4iwQp3Yd8csiv52te+NrKHDOhHRdLTEmASExPlqFT7+Pd///cjRoyQw7vnnntOdjT6ZN1/eGjuuQrJmWJjY12nNyeRKSYmxuu/JHOS0KUNy0BWVpY2LNPLWrThq1evGs1uVCqjxRqN93c5RtPr3JpFkpvy8vJeq+Djwn0spNFK+9I4vRbSbi2vky18/Pjxsrs3qYi/K/U30Pax5Ts7O1988cWkpCSn0yl5gzbS5Pu+Z88eiW0OhyMjI6OhoUEbf/z48QceeEBGyr+0TMjzy+5W7N/+9rdDhw6VgTVr1vzLv/yLPv6NN96QMebl99pETz/9tBw1+dhobiNl4NChQ66rkNq98847noV/4okntm/f7nUVUh2plFEBXFdqspPsNmh8852nv7N47re9dqvRZuBKjrgkxZS6DBs2bOHCha2trb5Ux3ylsgHIAmV6aagA+loy+L/7u79LTk6Oj49/6qmnrl+/7lcr9Vojr+3pubW7tnCvyzQqs+fX03NdvkTnhx566Nvf/rZeYDk8GD16tC+ba1gI+wRL+jg3N7e5x6xZs1566SVtvHTho48+Ksej+keZ7Fc9ZGDr1q36eLcBT9XV1Tk5OfpkCQkJkgClpqbu2rXr9u3bbhPL9rdjxw7PMw0a2Yj1LVgOJWXT1IYLCgqk5LJVtbW1FRcXy8deK+5aKqPFGo33dzlG0+vcWk++TtIv8j2R7+2yZcukUr1Wx2ThPhbSaKV9aZxeC2m3ltdJMiF7Q/OK+LvSXjd+t8L0seUlXZBVnzt37je/+U1hYaE20uT7vmDBgqamJvkCbtu2Tc9IZHuoqqqSPbvsuFeuXOm1nK6xpKWlZdOmTdoJHskwZs6c+fbbb8twZWWlDN+6dcu8/F67Q8ogYcxrHY1mcd0vSakmTZr0wx/+UD7W1tbKsIzx3HHJ9m90a8EXv/jFxx9//IMPPvj9739vVIxuH3aSJo1vtEx/Z/Hcb3vtVqPFupo6der3v/99qbLsV9euXbtq1Srfq+N1pbJnlpb8dY+5c+cG0Nc7d+585JFHPv74Y9mklyxZ8td//dd+tVKvNTLflvSPri3c6zKNyuz16+m2Ll+ic01Nzb333iubtPYv+ZKWlJQYNWDYCfsEa8KECR9++KE2LIcaEydO1IalC8+fP69PJh/1yf77v//bdTK3ATenTp0aP36823dG9tf19fXyxdM3LH0hQg4Bz54963VpUVFR2j5ayMDAgQO1Ye3Esja7DOhbvxG3Uhkt1mi8v8sxb41uj9aTGeWr+EmPxYsXr1ixwrw65gv3sZBGKw24cXwppN1aXiN7q8mTJ585c8a8LoGt1Gjj9yxMH1s+JSVFP3mgM/m+S26kDf/ud7/TTkGJcePG7d69++LFiyblHPCH5EhddhHavy5duiQtUFRUJH/1Gyv93XIGDRrkmtl4nlHwnMXtv9/4xje+9KUvdfdc7Pvnf/5nzwm0tXR0dHgtwNWrVyXU/cmf/InD4ZAGXL9+vdczBL3uJE0a36ju/s7iud/22q1GizUiLZCYmOh7dYxW2tjYqA3LjF6rYN7XU6ZM+Z//+R9tWDYn2dX3WhK/auRjguXawr0u06jMXr+ebuvyMTo/+OCDb731VnfPZW4pgLS51+KFo7BPsGSXoe9WZEA+asPSha53hspHo8ncBlzJ8WJSUtKJEye8rlqOiT0PvmUb3bJly0MPPaQv1vULZnTsK2n+888/r9+DJR+9zm5UqsBOFfi+nF5bw/PUhcyuDUu6k5CQ4DmLG6OF+1VZryu18AyW/VteU1lZOX/+/F6rE/BKuw02/j6ewXLb2l2/2jqT77vXkvz0pz9dsGDB3XffPWnSJP26ntHEWnk2b97seg+lHHbLBPo1SpPyGxk1apRJZjx48GC3K1xSL8nhXCeTCUaPHv2tb31L/urXj9yWY3IGSye7RMmcli9f7vUUe687SR8b35W/s3jut93+a75YV3IYIP0o6bK2Uel5sL/VcZ1e7ymZ3msVzPtacjXXVF7vZR9L0muNfEywXFu412X6UmajdfkYnaurqz/3uc/dvn37q1/9qhwOeVYhfIV9guVj7u96cCYDnpNpF6RdSZQaM2bMyZMnjVbd3NwsOzXP8ZJjeb2RqNv47g3ZiH28B8trqQK42cWv5RhNr3Nr7ezsbElxtGE56Ok1wTJauF+FNFqpVfdghUXLa9LS0j744APz6vRlpd0GG79bYfrY8pIS+XUGy6Qksjc/cuSIBD/to9uX3W1i+SbqJy1+9rOfySH14cOHx44dq5+W9nfLkYSmqKjIbaS+0nvvvffHP/6x67/q6uqSk5PdJtuxY8egQYP0qyeeMfWJJ5545ZVXzEuikaO4O++803N8rztJo8b33HnqAjiD5ctHX85gycgDBw58+umnErnlr2eL+bst+XIGy7yvJY1oamrynMvHhu21Rl6LZL6197pMozJ7/Xq6rcvHFpav5/33379hwwbZ7PU7/yJD2CdYcripX+WVTLy4uFgb7/klmTt3rnZ7gQx4XuT+oz/6I9dLKjt37pTDd/3rpFu8eLFsKLIRyMSy3nXr1mnjly5dKmNu3bp18eLFtWvXGt2DtWfPHqOnCKXk2hmsF154wWiXbVQqo8Uajfd3OUbT69xa+4033njyySf1q3XmNwMZLdzfQhqt1N/G8auQdmv57p43hsyYMcOkLgGv1GjjNypMH1v+5ZdfzsnJ+eUvf+l6k4fv33e9zLKLlzJLgiUpozbS7cvuOu+VK1defPHFjIyM7p77KWW//4Mf/ECGv/vd7z7wwAPa1R+T8nuNcOfPn5dV60+WSXXeffddfcrXXntN1vKf//mfV3vU1tampqb+wz/8g8kCu73F1F/84heSQb766qvSMjdu3Dhx4oT+FOHDDz/89ttvy1GH7KCkzKtXr/7iF7/odZnmO0mjxndrT1c+9pdRAxp9NFqsK2mN73znO9IUsglJU3i2mL/bkkyv34P1hS98IYC+LisrkzXKv2SD/K//+q9FixaZl8StYXutkdcimWztvizTqMxev55u6/K99+WITkbu27fPdaTJmdFwEfYV6OjokB299pyCDOgnJD2/JNoDMvHx8X/xF3/h+jiDNiBBxel0um5ebtrb22X8oUOHpk6dGh0dLcm4bD366rTxQ4YMGTdunOy/5FDAa2klVZc8XXvf1aZNm/TTpLJzzMvLu6uHfIfPnTvndXajUhkt1mi8v8sxmt7zX3pRZe+ckJAgrS2pp/lN7kYL97eQRiv1t3HCveWzs7Orq6tN6qLzd6VGG79RYfrY8pINyMFGYmKidKjkDdpI37/v2sC3v/1tOQR3OBySHn3/+9/XRpp82YcPH/6lL31J+wIuW7ZMu+FJI2XQsnaT8g8wCAkXLlx4+umnJfQOGjTo7rvvXrhw4Y9+9CO9Nb75zW+mp6drX38ZOHDgQK8LHOAtpkpskyVLqWRH9OCDD+rvwfqP//gPGS/NKO0wfvz45557zusOakBvO0mjxndrT1c+9pdRfY0+Gi3WlRxpSNcPHjxYjhZ2797t2WL+bksywZ//+Z9L40gT/e3f/q0s2WsVTPr6s88+k5JMmTJFvkSSVevfUx8bttcaeW1Vz63dr1YyKrPXr6fbunzvfdlWJ02a1NnZ6bXlw1fYVwAA0HcREM/6zc9//nNJVUNdimC5ffu2ZIf9ucb58+d/61vf6s819g++UQAAEqzeFRYWtrS0nD9//pFHHvmrv/qrUBcnWOrr6/WnBYPts88++8Y3vnH//ffrb2qIJHyj0E88LzzZcIceFoX0V0RWCpZjq+hVWVlZYmLiiBEjnnnmmUh6m4CbuLi4119/vX/WJVtdcnKypHT9s7p+xjcKAADAYiRYAAAAFiPBAgAAsBgJFgAAgMVIsAAAACxGggUAAGAxVRIsr0+qAwCAfhbqjKCfRHI91exRAABsS51wrEw9lelRAABsS51wbK96tra2jhs3zrX1u7q6Nm7c6HQ64+Pji4qKzH+R14Q6PQoAgG2pE47tVc9nn332lVdecW39ioqKadOmfdxDBvbu3RvYktXpUQAAbEudcGyjep45c2bixIkdHR2urZ+ZmXns2DFtWAaysrICW7g6PQoAgG2pE45tVM8/+7M/e+utt7r/sPWHDRvW2tqqDV++fNnpdAa2cHV6FAAA21InHNulnv/2b//2+c9/XrvFyrX1o6Kibt26pQ3LwMCBA00WwnOhAADYmTrh2C71vP/++99//31tmDNYAABEmM7OzsrKSnXCsV3qaXTCiXuwAACIAAcPHlTqgpId6+na+nv27DF6itCvTlKnRwEAsCHt9JU64diO9XR7D9aGDRucPTZt2uT6HiwSLAAAwsg999yjTjhWpp7K9CgAAPYUFxenTjiO5HryFCEAADbR2tqqVDhWpp7K9CgAADZUX19PghWB1OlRAABsiJvcI5M6PQoAgA2VlJSQYEUgdXoUAAAbWrNmDQlWBFKnRwEAsKG8vDwSrAikTo8CAGBDKSkpJFgRgtc0AABgE4MGDVIqHCtTT2V6FAAAu2lubpZAPGrUKHXCsTL1VKZHAQCwm9raWgnE2dnZ6oRjZeqpTI8CAGA3+/fvl0C8ZMkSdcKxMvVUpkcBALCbrVu3SiAuLi5WJxwrU09lehQAALvRzl3t27dPnXAcyfXkKUIAAOxAu/tKuxMr1GXpJ8rUU5keBQDAbhITEyUQNzU1qROOlamnMj0KAICtdHZ26peS1AnHytRTmR4FAMBWGhsbJQqnpKR0qxSOlamnMj0KAICt1NTUSBTOzc3tVikcK1NPZXoUAABbqaiokCi8atWqbpXCcSTXk6cIAQAIufXr10sULikp6SbBijzq9CgAALZSUFAgUbiysrJbpXBsl3oePXp05syZ0dHRo0ePXr58+aVLl7TxVp2FUqdHAQCwlfT0dInCdXV13SqFY7vUc9asWYcPH25ra7t27dq2bdtmz56tjbeqJ9TpUQAAbCUhIUGicEtLS7dK4diO9Wxvb4+JidGGSbAAAAhfbW1tEoLj4uK0j+qEY9vV8/r16zt27Jg3b572UXpCMl/Jt1JTU3ft2nX79u3AFqtOjwIAYB+nT5+WECxBXPuoTji2Vz21G61GjBhx9uxZ1/E3btyor6/PysoqLCzsdXYjQS47AABwV11dLSE4Pz9f+6hOOLZdPa9evbply5aHHnrI818XLlxwOp2BLVadHgUAwD7KysokBK9du1b7qE44tmM9JceKjY31HN/c3Dxy5MjAlqlOjwIAYB+SWkkIljRL+6hOOLZLPZcuXXrmzJlbt25dvHhROkO/B2vx4sUNDQ03b96U/+bm5q5bt06fxa9OUqdHAQCwj/z8fAnB1dXV2kd1wrFd6nno0KGpU6cOGTJk3Lhxq1ev/vTTT13HR0dHT5w4cfPmzR0dHfosJFgAoLhz585JyDh48KD2CgDYUGpqqoTg06dPax/VCcfK1FOZHgUARUjMjomJ0Z9kcjqdGRkZa9asKSsrq6mpIeWyCYfDIb3T1tamfVQnHCtTT2V6FABUUFVVFRcXp6VWEsK1V1m6kZQrLS1N/iYlJZ07dy7URVaRpLna65b0MeqE40iuJ69pABBJJFY999xzki689NJLoS5LiG3dulXbsS9atOj111/X3uzT2tpaW1tbXl6+du3anJwct5QrNja2tLTU9T4T9IO6ujpp/PT0dH2MOuFYmXoq06MAwpeE/+bmZn349OnT+/fvLywszM3NdU0XBg4c2NTUFNKShkx7e/uCBQukEQYNGqQ/mGZEUq5Dhw6NHz8+Pj5ea7rk5GRp0v4pKkRlZaU0e0FBgT5GnXCsTD2V6VEAYaqtre2uu+6KiorKyspKTU2VBMLzgtekSZMku5LhUaNG1dbWhrrI/U3SSu2OaWmK48eP+zVvTU1NWlqa1pIy4O/sCMz27dulwYuKivQx6oRjZeqpTI8CCFMnT550y6gkmZBD/5KSkiNHjuhnttrb2/Py8rRTOPv27QttmfuTJJTaabwpU6a4/dqHjzo7O/fv35+YmKg1b25urv5oG4Jk1apV0tQVFRX6GHXCsTL1VKZHAYQp7b6ioUOHfv3rX6+vrze5W0gShaKiIi1LWLNmjXzsz3KGhERo7ZRefn6+pJh9WZQ0rOSsTqdTa8AVK1Yoe721H0gWK41cU1Ojj1EnHCtTT2V6FEA4On78+KAevl+6OnjwoPYAfE5OTmtrq1+r83f6EJL0UTsLIoqLi63KJtva2goLC7UGHDhwYHR09De/+U1LlgxXKSkp0sKNjY36GHXCcSTXk6cIAYSFlpaWUaNGyW5q69atfs1YX1+vzZicnNzQ0ODLLJKgpKamSkrx9a9/PaDC9p+mpqZHH310+PDhUsG4uDhJKC1fxdmzZ5csWaLFiKSkJMuXD61tXdNidcKxMvVUpkcBhBeJPdplFPkbwOkZSc4yMjK0FET/NRLPVdTV1ZWUlOTl5cXGxuqHnTk5Ofv27evjFbe+cK2vpFNHjhwpLS1dsWJFenq6/o4rrWqSSgavGE899dQdd9whK3r//feDt5ZIcvLkyT/90z99+eWXzSeTPpVWTUxMdB2pTjhWpp7K9CiA8KLdejVq1KiA3zze0dEhSYmWi+jnwFyTKtdkRYwdO1ZWN2TIEO2jw+FYvHixJDf9eS+XrKusrGzo0KHDhw+fNm2aWwk1I0eOlPGDBw/+13/912CXR+uFKVOm8KIsX0yePFnro5/85Ccmkx0/flymyc7Odh2pTjhWpp7K9CiAMBLArVdGSktLtdvAnU5nQkKC65mqAT0vJigsLKyurtZ/saS9vX3//v3ayTONzCXTaOeKgnRaq6mpqaKioqCgQL/HXCc5n+SCUgCZQFJD13IGoyRuJOGT7GrAH75QAF5JW9155516r0lnGU25b98+mWbJkiWuI9UJx8rUU5keBRAuAr71ykhNTc3QoUNNkiqvmpubS0pKtPdL6VEzKirK9e3bfSEZkpRhzZo12v3OuqSkpDFjxmRnZ7umUyEkxdCSXd7dYE47LzVhwgQtO3c4HEa3xxUXF3tu3uqEY2XqqUyPAggLfbz1ysj3vve9u+++W1KZ8+fP+zuvJBaSkGk5n+auu+5asGBBWVmZvzmH5I4vv/yypGiS5Lm+MdXpdBYUFFRUVNjzzQhSfS0xVeHNFwHTHurUnuiUvFnrWfnoOaX2AIHbq/PVCceRXE+388+hLg4A/H99v/UqSCRq7t69OzExccSIEa67UMmNXJOt5uZm/W2fJr/qM6DnhajZ2dlS37q6OpsnLu3t7cnJyVLm0tLSUJfFpqQHtf7Vc279FWWyebhdz9Uev3B7dECdcKxMPZXpUQD2Z+GtV0ElyV9lZeWaNWu0+5N0d955p/bY3axZs4x+1Ue7y2r27NkhfEoxANr1L4fD4frqJui09klJSXEbqXV3Wlqa/pMDQjsb6jqmW6VwrEw9lelRADZn+a1X/cMo2dJ4/qpPZ2dnUN+tEDzaI5k5OTmhLogd6dcH3cZLPqptGPpt7x0dHdr5S7cp1QnHytRTmR4FYGdBuvWqn0kKtWTJEklBXnvtNfNf9QlHbW1tWgZcXl4e6rLYi+f1QVfSbq63vUvK5Xmuq1ulcKxMPZXpUQB2Zttbr+CqqqpKu9DpdnlLcV6vD7pyve1d+0ly+es2jTrhWJl6KtOjAGwrXG69gigoKBjQ89vSoS6IjRhdH3Sj3/YuFi5c6PZfdcJxJNeTpwgB2Mc777wzePDgsLv1SlnNzc3ajduVlZWhLostmF8fdFNSUqJF3rlz57r9S51wrEw9lelRALbS2tpaVlaWnp6uH+ydPHky1IWCT/bv3z+g5wX30omhLkvo9Xp90JVkY48//nhqauq5c+fc/qVOOFamnsr0KAA76OjoqKyszM/P16+VxMXFxcTEPPzww+F7b7uCcnJyBnj82IuafLw+2Ct1wrFd6nn06NGZM2dGR0ePHj16+fLlly5d0sZ3dXVt3LjR6XTGx8cXFRXJx8CWr06PAgit2tpaCUX6rxdLgrVgwYKqqqoIe9ROEU1NTVpX/uM//mN4vdDLWn5dHzSnTji2Sz1nzZp1+PDhtra2a9eubdu2bfbs2dr4ioqKadOmfdxDBvbu3RvY8tXpUQD9r6Wl5bHHHpNILIeC+qXAjIyM8vJyri6Fu9LSUq1DJcNQ9qFCv64PmlMnHNuxnnKUEBMTow1nZmYeO3ZMG5aBrKyswJapTo8CCDbzX4ZJTk4uLi7Wf0YG4U4/eaNxOp2SOq9Zs6asrKympkZ/3YZM5vUkpUzQ0NBQW1u7a9eup59++uc//3n/Ft8aVl0f7FYpHNuuntevX9+xY8e8efO0j8OGDdOP/y5fvixbdmCLVadHAfhLQqNESs9TTTK+qampvr5eDt/Xrl37xBNPLFq0yOiXYSSviouLe/HFF0NSBQTVqVOnpk+fLl3vlkzrvZ+enn7nnXfGxMSs6CFpd1paWmJioufEA3reEb9v374wuuBo4fXBbpXCsb3qqW18I0aM0A/+oqKibt26pQ3LwMCBA3ud3UjQSw8gPD355JOyi5DDuWXLluXn52dnZ2vZksn+xPOXYaAIScRra2vLy8sl55ZUyWvK5UommDJlikypvfRBgpo23uFwLF68WLYf+z/0YOH1wW4SrBC6evXqli1bHnroIe0jZ7AABI8ckUuQ03632CvJtNLS0qZNm6Z9/Mu//MvI+2UY9JEEqe9973sZGRmTJ0/euHHj/v37a2pqZDtpampynUw+Slp27tw5mUD7SRk9AyssLNR+t7G9vd2G+ZaF1we7VQrHdqyn5FixsbHaMPdgAQiGI0eOaE/gD+h50G/q1KlPP/20RL7q6ura2lqJhW1tba7T19XVyfgQFRYRqLm5uaSkJDU1Vc+0xo0bJ5vi2LFjbXX10Nrrg90qhWO71HPp0qVnzpy5devWxYsX165dq9+DtWfPHqOnCP3qJHV6FICJjo4OyaL0qOZ0OtevX8/PAiKEJHEpLCzUfl5aM2nSpO3bt9vkOQlrrw92qxSO7VLPQ4cOyRHkkCFDJIVfvXr1p59+qo3v6urasGGDs8emTZtc34NFggXAd21tbSUlJXoYS0xMLCsrcztNBYRKZ2fngQMHJAJqv6ekSUtLC3mmZe31wW6VwrEy9VSmRwG4krj12muvZWdnx8bG6kHr4MGDNrzTBejuOclaXV29ZMkS18csQpVpWX59sFulcBzJ9XS7WTXUxQHgN9m/19fX+5sMyfR1dXUlJSV5eXl6XiXk4/Hjx4NUVMBaXjOtUaNG3X///T/96U/7pwyWXx/sJsGKPOr0KCDpRcS8PXzu3LkDet6JUFtb29jY6LVeLS0tEopckyq3NywMHDhQ/i5btqz/yw/0nZ5pxcTEaJu0HDbImH5YteXXB7tVCsfK1FOZHoXiJM+YMGGCpBS7d+8OdVn6xOQFCsnJyenp6ZJIrVix4sknnxw0aNDgwYNdz1Rpl1QKCwslCLW1tTU3N4fF24YAc7IxJyYm6m/SKigoCOo72IJxfbBbpXCsTD2V6VEo7sMPP9R2vnKw2z/HuJZzfYGCZIqSL86ZM0fGpKSkaK9qNOKaVIW6EkBQaOeny8vLtdO08o2oqKgI0rqCcX2wW6VwrEw9lelRKE4OamVr10/8BPsY10I+vkBB+/mauro6ycNk+o0bN6anp3/lK1+JmKuigC/ke52fn699WbKzsxsbGy1fRTCuD3arFI6VqacyPQqVFRUVaalJQ0ND/xzjWoIXKACBqaqq0r44Dodj69atFl4HD9L1wW6VwnEk19Pt8kGoiwME1759+wb0vJRcf+F4PxzjmqurqzP/BeXVq1fPmDGDFygAAZNDEe1Uk5gyZYp86SxZbJCuD3aTYEUedXoUapK9oaRWsp3v37/f7V/BO8b1qqWlpaGhQZK8xx57TFvpk08+2esvKPMCBaAv5Bsn2ZX2bUpISHjmmWf6+PsEQbo+2K1SOFamnsr0KBTU2NioJS5Ge0PLj3ElS3vzzTcfffTRdevWrVixIjc3Ny0tLTEx0eQOdFfaLyhnZmZqz0O9/PLLfSwPgI6ODtkDuD5463Q6MzIy1qxZU1ZWVlNT43vKJXuMu+66KxjXB7tVCsfK1FOZHoVqZKcp+Yps4YsXLzaf0vUYd+rUqZLW+HuM29TUVFFRUVBQYPI0nxw9y1pycnIee+yxBx988PHHHzf5BeXm5marrmgAEC+88MLgwYPHjBmj3UHlRr6506dPHz9+/H333VdUVLTVgJZdyd9glFCdcKxMPZXpUSilvb1djlAH9NxiJcevvU7v+zFuZ2entkBZhaRHMkFKSorrnlr7xTRJ1CR/khnr6+slfwpqZQH4pbW1VQ5sysvL165dK8c8XlMuE5MnTw5GqdQJx8rUU5kehVK0lzJI6uPXuailS5cO6HlRltExblpamvw3NjZWDna1W7v0f8kaKyoqJJeSNVZVVfmS1QGwCUm5Dhw4MKxHYWGh0RmsZcuWPfLII+fOnQtGGdQJx5FcT7ewEeriABbTX8oQwOOBdXV1Wm7U6zGuJFjZ2dmyz5VZeL4PiACdPUK1dnXCsTL1VKZHoQjPlzJYRVKud999d/r06ampqW+99VZ7e7u1ywegMnXCsfX11G7ymDhxosPhkL8vvfTSjRs3LF+Lv9TpUajA5KUMAGBn6oRj6+u5bt262bNnNzQ0SKYlf2fNmvW1r33N8rX4S50eRcQ7cOBATEzMgOC8ogYAgkqdcGx9PUeOHOn622cyLGMsX4u/1OlRRLZdu3Zpt0bl5+eHuiwA4Dd1wjEJFhBOMjMztQTrhz/8YajLAgB+UyccB+USYW5u7ocfftjR0SF/ZZhLhIBVxo4dKxtzaWlpqAsCAIFQJxwH5Sb3zZs3T5gwweFwyN8XX3wxVDe585oGRJj3339/QM/vzIS6IAAQIHXCsTL1VKZHEcGKi4tlSy4sLAx1QQAgQOqEY7vU87333ps9e7bD4Rg9evTKlSuvXLmijbfqLJQ6PYoIpv1YjeUvvgKAfqNOOLa+ng0NDVlZWUOHDvUrMZozZ86xY8fa29s/+eST1atXz5s37/+Wz6KeUKdHEakaGxsH9PyUMq9TBxC+1AnH1tczIyNj27Ztv/vd7wJewrVr12JjY7VhEixAs337dtmMV61aFeqCAEDg1AnH1tfT4XBcv369L0uorq7OycnRhrVD9piYmNTU1F27dt2+fTuwZarTo4hUcugim7F8O0JdEAAInDrh2Pp63nPPPU1NTQHPfurUqfHjx3/00UeuI2/cuFFfX5+VlWV+e+8AUwEXCQi55uZm2Ybj4uK0X2gGgDClTji2vp6vv/76ggULWlpaApi3trY2KSnpxIkTXv974cIFp9MZWKnU6VFEpPLyctmG5ZsV6oIAQJ+oE44tu8Op72ePKisrx4wZc/LkSaMJ+vJSeHV6FBEpNzdXtuGDBw+GuiAA0CfqhGO71HPnzp1JSUmNjY1u4xcvXtzQ0HDz5s0zZ85IjFm3bp3+L786SZ0eReRpa2sb1EMGQl0WAOgTdcKx9fW84447AimHh/b2dhl/6NChqVOnRkdHT5w4cfPmza43oJBgQREHDx6UDVgOMEJdEADoK3XCsfX1HDt27P/+7/9avtg+UqdHEXkWLFggG3B5eXmoCwIAfaVOOLa+nq+++uqXv/zl8+fPd3V1Wb5wv/AUISJAR0dHXFycbMDNzc2hLgsA9JU64dj6etrzFQl2KAMQgOrqatl6MzIyQl0QALCAOuFYmXoq06OIMKtWrZKtd/v27aEuCABYQJ1wrEw9lelRRJLOzs6EhATZej0fsAWAcKROOFamnsr0KCJJbW2tbLopKSmhLggAWEOdcKxMPZXpUUSSwsJC2XSLi4tDXRAAsIY64TiS62m3G+0BfyUnJ8um+/7774e6IABgDXXCsTL1VKZHETFOnz4t221iYmKoCwIAllEnHCtTT2V6FBGjuLhYtttVq1aFuiAAYBl1wrEy9VSmRxEx0tLSZLs9fvx4qAsCAJZRJxwrU09lehSR4ezZs7LRxsXFuf7+JgCEO3XCsTL1VKZHERnKyspko12yZEmoCwIAVlInHCtTT2V6FJEhOztbNtrKyspQFwQArKROOI7kevKaBoSp1tbWQYMGORyO9vb2UJcFAKykTjhWpp7K9CgiwL59+2SLzcvLC3VBAMBi6oRjZeqpTI8iAuTn58sWK2lWqAsCABZTJxwrU09lehThrr293eFwyBbb2toa6rIAgMXUCcfK1FOZHkW4q6qqks01Ozs71AUBAOupE46VqacyPYpwt2TJEtlcS0tLQ10QALCeOuE4kuvJU4QIO52dnXFxcbK5nj17NtRlAQDrqROOlamnMj2KsPb888/LtnrPPfeEuiAAEBTqhGO71PO9996bPXu2w+EYPXr0ypUrr1y5oo3v6urauHGj0+mMj48vKiqSj4EtX50eRfg6ffr0oEGDZFsdNmxYqMsCAEGhTji2Sz3nzJlz7Nix9vb2Tz75ZPXq1fPmzdPGV1RUTJs27eMeMrB3797Alq9OjyJMVVVVaRcHo6KiCgsLQ10cAAgKdcKxHet57dq12NhYbTgzM1MSL21YBrKysgJbpjo9inC0detW7U7BFStW8PZ2ABFMnXBsx3pWV1fn5ORow8OGDdPfBnT58mWn0xnYMtXpUYQXSacWLFgg2+egQYPKyspCXRwACC51wrHt6nnq1Knx48d/9NFH2seoqKhbt25pwzIwcOBAk3kHmAp60QE/NTU1paamysYpRw7Hjx8PdXEAIOjUCcf2qmdtbW1SUtKJEyf0MZzBQqSSrT0hIUG2zClTpvBSBgCKUCcc26ielZWVY8aMOXnypOtI7sFCRKqoqNAeGMzPz+emKwDqUCcc26WeO3fuTEpKamxsdBu/Z88eo6cI/eokdXoUNtfZ2blq1SrtsnVxcbF8DHWJAKD/qBOO7VJPz1umtMP6rq6uDRs2OHts2rTJ9T1YJFgIL5JLVVRU3HfffbI1xsXFHTx4MNQlAoD+pk44VqaeyvQobEWSqrq6upKSkry8vJiYGO3gQY4W6uvrQ100AAgBdcJxJNeTpwgREq5JlfbuUDevvPJKqMsIAKGhTjhWpp7K9ChCQpKqf//3f1+4cGFGRoZbUpWWllZYWFhdXd3W1lZbW1tZWcl9VwCUpU44VqaeyvQo+lNTU1NFRUVBQYHT6TRKqkJdRgCwEXXCsTL1VKZHEWzt7e2SOa1ZsyYlJcU1qYqPj5e/Q4YMOX/+fKjLCAA2pU44VqaeyvQogqGzs7O0tDQ9PX369Ona+6v029ULCgoqKiqampo6Ojqqqqo8XzUCANCpE46VqacyPQoLeb0CKAlWdnb21q1b6+rquJsKAPyiTjhWpp7K9Cj6yOgK4JAhQ+Tv/PnzefE6AARMnXAcyfXkNQ3wUWtr68KFCz//+c9nZmaaXAFsaGgIdUkBILypE46VqacyPQofub6tKjo6miuAANAP1AnHytRTmR6FCZNXgEZFRQ0ePLi8vJwrgAAQPOqEY2XqqUyPwo0kVUeOHJk3b96MGTNMXgHa3iPUhQWACKdOOFamnsr0KDS8AhQAbEidcKxMPZXpUZUZPQConbgaMWIESRUAhJY64TiS68lThCro7OxctGhRUlLSAw88YPIAoCReLS0toS4sAKhOnXCsTD2V6VEVuN6rHhMTwwOAABAu1AnHytRTmR6NVCYPAMbGxg4ePPj555/nLnUAsDl1wrEy9VSmRyOJJFWVlZUTJkwYO3asyQOAMmVHR0eoCwsA6J064ViZeirToxGABwABIFKpE46VqacyPRp2zp492238AGBiYqLD4UhKSrp06VKoSwoA6Ct1wnEk15OnCG2us7Nz5syZ2gsUjB4A1CYLdUkBANZQJxwrU09letT+vF4B5AFAAFCBOuHYRvX0eqrJqrNQ6vSorbS1tWlnoYyuAI4ZM2by5Mnbt2/nAUAAUIE64dh29fRMsIKxWPSDurq6IUOGREVF/fEf/7HJFUAAgDrUCce2qycJVpiSbOnIkSOlpaUrVqxIT093e6sCVwABAN0qhWPb1dMzwUpISIiJiUlNTd21a9ft27ctWSz6SJKksrKy4cOHp6SkeKZTmlGjRk2ePHn69OlvvvkmVwABAN0qhWPb1dNr09+4caO+vj4rK6uwsNB8XhNBK7JCjN5QpaVTeXl50kEyQV1dHa+qAgB4Uicc266eJk1/4cIFieuWLxZetba21tTUdHZ2mtyfHhsbm5mZSToFAPCROuHYdvU0afrm5uaRI0davlh4amlpSUhIkEYbPXo096cDAKyiTji2XT3dmn7x4sUNDQ03b948c+ZMbm7uunXrjKb0a7Fw1dHRcfr06f379xcWFkoja6kV96cDACynTji2UT293jJ16NChqVOnRkdHT5w4cfPmza6/6UuCFbD29vZnn312/vz5ixYtSk1NdT1HpZ+peuCBBzIyMt544w3uTwcAWEWdcKxMPZXpUSOdnZ11dXUlJSV5eXmSsLplVJJmFRQUyH+PHDnS3Nwc6sICACKTOuFYmXoq06OuXJMqzzcpREVFbdmypb6+3vW8IAAAwaNOOI7keqr5mgZJqkpLS5OTk1NTU92SqrS0tMLCwurq6ra2trNnz3KmCgDQz9QJx8rUM9J71OgNVa5JVajLCABQXcSHY50y9YysHtUu6hm9oWr48OFRUVEPP/wwSRUAwFYiLBybUKaekdKjklpNmjTJ4XCY/4Iyj/4BAGwoYsJxr5SpZzj3qOu96jExMbyhCgAQpsI6HPtFmXqGW4+aPACYkJAwZsyY3bt3c5oKABBewi4cByyS6xmOTxEePXo0OTl57NixJg8AhrqMAAAEKFzCcd8pU09792hra2tZWVl6ejpJFQAggtk8HFtImXraskc7OjoqKyvz8/P129Xj4uIcDsfnPve5S5cuhbp0AABYzJ7hOBiUqac9erSzs/P06dMyUFtbu2rVKv06oCRYCxYsqKqqkpSL29UBAJHKJuG4HyhTTxv0qGROGRkZUpLY2Fj9OqCMKS8vb21tDXXpAAAIOjuE4/6hTD1D16Ne37GenJxcXFx89uzZUJUKAID+R4IVCfr/KcLOzk7zd6yPHTv2vvvu27t3bz8UBgAAuyHBijT90KM/+clP4uPjHQ5HWlqayTvWAQBQFglWpLG8RyVbOnLkSGlp6YoVK9LT091eW8U71gEA8ESCFWkC7tGWlpaGhoba2tp/+qd/mtfDM53SjBw5cty4cZMmTXrzzTd5xzoAAJ5IsCKN9KjXK3R6/vTCCy/k5eWtW7duxYoVubm5aWlpiYmJnlmUbtSoUTJ9YWFhRUVFXV0d7wIFAKBXJFiRRno0Kipq5cqVPuZPuoSEhClTpuTk5MjfAT0vAv3BD35AOgUAQABIsCKBX/nT0KFD5eOMGTP2799fU1NTX1/vdsars7Ozurq6paUlRLUBACDskWBFGunRxYsXb9++3Sh/ksxJxnNDOgAAwUOCFWnU6VEAAGxLnXBso3rql+1cR3Z1dW3cuNHpdMbHxxcVFcnHgBduRRkBAEDg1AnHtqunW9NXVFRMmzbt4x4yEPA70NXpUQAAbEudcGy7ero1fWZm5rFjx7RhGcjKyrJksQAAoP+pE45tV0+3ph82bFhra6s2fPnyZafTacliAQBA/1MnHNuunm5NHxUVdevWLW1YBgYOHGg+r4kgFhoAAPhAnXBsu3pyBgsAgEilTji2XT2Ddw8WAAAIub4mCmHCdvV0a/o9e/YYPUXYn53UP+tiLbZdEWthLZGxln5bEWthLbBRK3jNcLu6ujZs2ODssWnTJtf3YJFgsZZ+WxFrYS2RsZZ+WxFrYS2gFXwSSRtlJK2l31bEWlhLZKyl31bEWlgLaAWfRNJGGUlr6bcVsRbWEhlr6bcVsRbWAloBQcEXzLboGnuiX2yLrkFg2G4QFOySbIuusSf6xbboGgSG7QZBwS7Jtugae6JfbIuuQWDYbhAU7JJsi66xJ/rFtugaBIbtBkHBLsm26Bp7ol9si65BYNhuAAAALEaCBQAAYDESLAAAAIuRYAEAAFiMBAsAAMBiJFgAAAAWI8ECAACwGAkWevfee+/Nnj3b4XCMHj165cqVV65c0cYfPXp05syZ0dHRMn758uWXLl3ynLerq2vjxo1OpzM+Pr6oqEg+mo+HX/rSvHRN8Ji04YD/x9956RdLGDWj0V7Ol3npGnhFgoXezZkz59ixY+3t7Z988snq1avnzZunjZ81a9bhw4fb2tquXbu2bds22T15zltRUTFt2rSPe8jA3r17zcfDL31pXromeHptQ5MEi34JKqNmNNrL+TIvXQOvSLDgH8mlYmNjPcfLjikmJkb/qMePzMxM2W1pwzKQlZVlPh5+CaB56Zp+0GsbeiZY9Ev/8KUZ3fZydA0CQ4IF/1RXV+fk5LiNvH79+o4dO1yP+fRd0rBhw1pbW7Xhy5cvO51O8/HwSwDNS9f0g17b0CTBol+CypdmdNvL0TUIDAkW/HDq1Knx48d/9NFHriO1G0pGjBhx9uxZz1mioqJu3bqlDcvAwIEDzcfDL31pXromeHptQ5NLhPRLUPXajF73cubz0jXwigQLvqqtrU1KSjpx4oTnv65evbply5aHHnrI818c8wVVX5qXrgmeAM5g9Tov/WIJ82Y02cuZzEvXwCsSLPiksrJyzJgxJ0+eNJpAciyv92Zx10JQ9aV56ZrgCeAerF7npV8sYdKMve7l6Br4hQQLvdu5c6cc1TU2NrqNX7p06ZkzZ27dunXx4sW1a9d6vQdrz549Xp+vMRoPvwTQvHRNP+i1DU3uwaJfgsqoGY32ct10DQJFgoXeDfDQ3t4u4w8dOjR16tQhQ4aMGzdu9erVn376qess2kBXV9eGDRucPTZt2uT65hiv4+GXAJqXrukH5u3vynW8+bz0iyWMmtFoL9dN1yBQJFgAAAAWI8ECAACwGAkWAACAxUiwAAAALEaCBYQxo1+o9fdXaX35pdu+z95t8FPHbjcXDxs2rI/NAgAhR4IFhDGjX6j191dpffml277PrjN5C9Srr766fv16vxoBAGyIBAuIEK6/UNuXNyIa/Z5332fXGSVYN2/eHD9+/K9+9Svz2QHA/kiwgAjh+gu1fflND6+/523J7DqjBGvv3r1PPfWU+bwAEBZIsIBI4PYLtQH/Kq3JL932fXad1wTrs88+mzx58pkzZ8znBYCwQIIFhD3PX6gN7AyW53Lc7knv4+yu4z1rUVlZOX/+fF/rDAD2RoIFhDevv1AbwD1Yvf7Sbd9n13lNsNLS0j744ANfZgcA+yPBAsKY0S/U+vurtCa/dOvLYn2cXeeZYB09enTGjBk+zg4A9keCBYQxo1+o9fdXaU1+6dZVH2f3nFIfn52dXV1dbWHLAEBokWABAABYjAQLAADAYiRYAAAAFiPBAgAAsBgJFgAAgMVIsAAAACxGggUAAGAxEiwAAACLkWABAABYjAQLAADAYiRYAAAAFiPBAgAAsBgJFgAAgMX+D01hqaQhS+JpAAAAAElFTkSuQmCC)
| VMR Tools created by Darren De Zeeuw. |