Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit365-07-20021110_045400_20021110_093900-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/11/10 |
Start Time | | 2002/11/10 04:54 |
End Time | | 2002/11/10 09:37 |
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 | | 26.35 |
Dipole Tilt, in Y-Z GSE plane, deg | | 24.21 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 187.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit365-07-20021110_045400_20021110_093900-constBx0 |
Minimum Dst Value | | -28 |
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 Cluster-3 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAU3VuIEphbiAxMyAxMDoyNDoyNCBFU1QgMjAxOb4hfTcAAAHQdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQzNjUtMDgtMjAwMjExMTBfMDk0MDAwXzIwMDIxMTEwXzE0MjUwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIENsdXN0ZXItMyB0cmFqZWN0b3J5LiIsIAogICAgInhheGlzIjogeyAibGFiZWwiOiIiLCAibWluIjoiMjAwMi0xMS0xMFQwOTo0MDowMC4wMDBaIiwgIm1heCI6IjIwMDItMTEtMTBUMTQ6MjM6MDAuMDAwWiIsICJsZWZ0Ijo3OCwgInJpZ2h0Ijo3MjIsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiVVRDIiB9LAogICAgInlheGlzIjogeyAibGFiZWwiOiJyaG8iLCAibWluIjoxMy4xOTkwNDk5OTk1LCAibWF4Ijo5NS4yNzk5NTAwMDA1LCAidG9wIjo1MiwgImJvdHRvbSI6MjM1LCAidHlwZSI6ImxpbiIsICJ1bml0cyI6IiIgfQogIH0KIF19pcuXfwAAAARnQU1BAACvyDcFiukAACWeSURBVHic7d1/cBT1/fhxTBBCaO9zBykYJBGktNoRWjPqmAYQEPAH/q5jUeSX1NIqjrY1PxCQ0lZoO4VRR01sih1n/IHYQUZL7DhW2tFaGS1jSw2CighaIAdGCBo84fi+5na+2+3d7d6PbC7v7Ov5+CPzvs3e7r7er919vXdvk+tzAgAAAL7q09MbAAAAEDQMsAAAAHzGAAsAAMBnDLAAAAB8xgALAADAZwywAAAAfMYACwAAwGcMsAAAAHzGAAsAAMBnDLAAAAB8xgALAADAZwywAAAAfMYACwAAwGcMsAAAAHzGAAsAAMBnDLAAAAB8xgALAADAZwywAAAAfMYACwAAwGcMsAAAAHzGAAsAAMBnDLAAAAB8xgALAADAZwywAAAAfMYACwAAwGcMsAAAAHzGAAsAAMBnDLAAAAB8xgALAADAZwywAAAAfBbMAVafPsGMCwC6VXecPF999dXRo0dnXHJ3rLqnagE1CCe0DbDY6QHAQ3ecJMeNG7d+/foeWTUDLB8FMqhuFcz+yvVSaePGjRMmTOjfv395efmcOXP27dtn/+rNN9+cNm3awIEDhw0btmbNGvvtTm5ricfjdXV14XA4Eok0NDTIS2v6e++9d9lll4UTpCEv0779+eefnzx5cklJiWzV/PnzDxw44L1Yt+luy3EGkto/2U93W29OfdLe3j579uxBgwaVlZUtW7Ys6V3RaLSiosK53lw7IaeNDGTPeyz8RLoedtt4t53fl57vDknx2lt+0kknDR06dMaMGXv27PF4ex7bv3fv3ltuuWXEiBEnn3yyvOviiy+WM0zajUmaKI1vfOMbzlVI+8wzz3TOYP9q27Zt11xzjRwy/fr1O+ecc55++mlr+ieffCLbOXr06AEDBsjar7zyyhdffDHjNqduTN4zpAqFQkePHu36qvPQ3WMCtyzkt15fttajnPm7oixpHpYFM/JczxGTJk2SCyyp8YcPH16+fLnUFWv69u3bpeo89thjH3/88QcffHD99ddnuXxLU1NTVVXVzgRpNDc3W9Orq6sXL17cnrBo0SJ5mfbtU6dObWlp6ejo2L9//4IFC6ZPn+69WLfpbsvJ2F1ZTndbb059MnfuXCl1+xKuu+66Rx55xPkuKVcrVqxwrjfXTshpIwPZ894LT+1ht4132zZfer47pA6wrMbx48c/+uijn/zkJ+PGjfN4e67b/+GHH5522mmy2NbW1s8++0wGps8999xFF12UdmOSJkpDivSzzz5r/+qZZ56RKakDrB07dsjo8De/+Y2cl2Ts8tprr33nO9+xfiXruvnmm2WGzz//vK2t7amnnrrgggu8tzntxuQ9Q95v6XUDLI8s9OAAy62c+b6iLDHA6jVkJ7799tuHJkjDviqSFK5evXr48OFyVWq9/NWvfjVkyBC5sLj11lvlRGPPduJ/L8FTVyEVpbS01GrLiOqBBx5InSfLPUZGTlKirLY0ampqrLYsX3Z9q33o0CF7dR5k/oEDB3ov1m2623IyhpPl9GzWm3HmwYMHSyG32jLGctY8KVSjRo3q7Ox0rjfXTshpI50C0/MeC0/bw07OjXebp4s9/8UXXyxdurSysjIcDkvFsiZ6HO+NjY0yjikpKTn//PO3bt1qTX/xxRfPPvtsmSi/skZCqQd70vZ/8sknAwYMkMYPfvAD57B+zZo1MsV7+9N2xU033SRXTWljdHuLc9vWrVvnXIVE9/TTT6du/A033PCLX/wi7SokHAnKbQOcK/U4SZ5w6Xzvk2eub0k9b6dNq9tu4CQXwzK4kVhCodDVV18djUazCcd7pbIDyAJlfumotPF6ZMFtf7NfZrOvyjXAz3/+8xEjRkQikXnz5h05ciRtv3lwljPnNqQeFM4FZuxMtw1LPYpT15VNER8/fvyTTz5pb7CMX8vLy7PZq03TywZYkrwpU6bsSZBx+t13321Nl9xceeWVcj1qv5TZPkyQxk9/+lN7elIjiewoK1eutC/WZQ+QNUpqZVebPXu2XBPYby8rK5Md96yzzrrvvvuOHTuWdmmyd9q7plxKyj5nta+99lrZctldZIFLliyRlxkD37Bhw8SJE70X6zbdbTm2Lpb5bNabcWYZYMlLqy0jLedCLr300scffzxpvbl2Qk4b6RSYnvdYeNoednJuvNvO38Wel0Ilq3j33Xc//vjjO+64w5rocbxfddVV77//vhywco1uj0jkUP3DH/4gp2w5I8+fPz9tvM4isXfv3vr6eusGj4wwJkyY8NRTT0l77dq10o7FYt7bn7a7ZBukPqWN0e0tzvOSbNXo0aP/9re/yctNmzZJW6aknrjk1OT2aMEll1xy3XXXvfLKK5999pnbZpzI4iTp0fluy8z1Lann7bRpdVus09ixY1966SUJWc6rCxcu/N73vpd9OGlXKmdm6cmPEqZNm5Y2BI8sZBxgZbOvrlq16sILL9y5c6ccFDfeeOOPf/zjtP3mJqmcpd2MtAvM2JluG5b2KE5aVzZF/E9/+tOZZ54pe771K+mfX/7yl97BmqmXDbBOP/30t956y2rLpYZcdlttyc2uXbvs2eSlPdu///1v52xJDSdrlC2XdO+88441pbi4WPae/QkzZsyYO3euc345Nl5//XU5IO09KUlRUZF1jhbSkKVZbetDBGt10sh4nGzZsmXkyJH2WdttsW7T3ZbjDDzterOcnnG92cw8a9asmTNnWl0t14V9+/a1pr/wwgvnnXee9VSKc725dkJOG2kLUs+7LcSth703PnXn72LPf/WrX7VvHtg8jncZG1ntTz/91LoFJSoqKu6///7du3d7xNvnf8kluJwirF/t27dPIm1oaJCf9pMruXay7LrOkU3qrYLUtyT99uGHH77iiitOJD7s++1vf5s6g7WWzs7OtBtw6NAhqWHf/OY3S0pKpAPvvPPOtJf+GU+SHp3vFnuub0k9b6dNq9ti3UgPDB8+PPtw3Fa6bds2qy1vTBuCRxYyDrCy2VfPOOOMt99+22rLDinFwp7N2W9uG5BUzjxW5LHAtJ3ptmFpj+KkdWVZxM8991zrqm/Hjh2yAZIaz3AN1csGWHLKsHdoachLqy25cT4ZKi/dZktqJJGdadmyZePHj7deysWr87aKXLinvkWuP+yL2qSTqdu1r4zfFy1aZD+DJS/Tvt0iV7GVlZWbN2+2p+R3qyB1OTYT7mAdPHhQxlVS7eSi8J577jnllFOs6WPGjHn55ZdT11uAO1gB63m3hbj1sMVj40/8786fa+ck7e3OQ9vmcbynjegf//jHVVddNXjw4NGjR9uf67nNbG3P4sWLnQ+pyPW0zGB/Rumx/W5k1/UYSZ988slJn3BJXDKGc84mM5SXlz/xxBPy0/6ULWk5HvdObHJKlJHTnDlz3O5hePdtlp3vlOtbUs/bSb/1XqyTDPclj3ICsXYqexycazjO+e1MuX163pU7WNnsqzLac14MOPeTpH5LLRwnUspZ2s1Iu8CMnem2YWmP4qR1ZVnEN2zY8PWvf/3YsWPXX3+9jERTQ+gVetkAK8srJOfFmTRSZ/P46Fp2Svtxk3HjxjkfDEo7wNqzZ48cZmkX5fb0huydWT6DtXbt2mHDhr3xxhvZLNbjYZG0y7F1scz78gyW04MPPiiDLXtdSbyX49czWMHrebeFuPVwxo0/8b87fxd7XspMTnewPCKS0/Qf//hHe4yedLAnzSxHon3T4s0335Rr5fXr15966qn2dX+unSwDmoaGhqSJ9krPPPPM1157zfmrv//97yNGjEiabeXKlX379rU/Fkmt1nKArFixwntLLHIV9+Uvfzl1esaTpFvne5w887iDlc3LbO5gycRHH31UrtOkJMvP1B7LdV/K5g6WRxacAzX77svevXtz2ldlhPH+++97LDwjZzlz8j4oMnam24alPYqT1pVlIqRn5NqvtrZWjg77AcFep5cNsORy0/74VobYS5YssaanHiTTpk2zHi+QRuqjAF/5yldaW1vt+WfNmiUvY7HY7t27Fy5caF/wrVmzxv7casaMGfPmzbOmS1v2DMm6vEu257bbbku7tY2NjW5/RShbbt3Buuuuu9xO2atWraqsrLQP8oyLdZvuthxnd3Vlutt603KbWfpZciod8uSTT1ZUVNj3n93Wm2sn5LSRgez5jAtP+pXbxrvt/F3s+XvuuWfixInvvfee8+mN7I93e9vk3C3bJkVLhobWxKSD3fneAwcOLF269Pzzzz+ReGBFTuh//etfpf3ss8+effbZ1id9Htuftid37dolq7b/ilDCee655+w55eJB1vKXv/zlUMKmTZvOOuusX//61x4LdE63Gzt27JCqvHr1aumZo0ePbt682f77tQsuuOCpp56SC0I5ock2L1iw4JJLLkm7TO+TpFvnJ/WnU5b5cutAt5dui3WS3njmmWekK2QXkq5I7bFc9yWZ334G66KLLkobgkcW7Pnl9L58+XLZuyQXV1xxRU776r333ivbLFNktn/961/f/e53vfvT4lbOnDwOimw6023D0h7FSevKfieRCzyZ+Lvf/c45MfvBpQl607aeSNxRlBO69QcI0rDvNKYeJNYfyEQikR/+8IfOv1OwGlI8wuGw/XLdunVjx47t16+flHY5H8mY3V6UnHfKyspkObLX2g+5W/P3799fRt+yu7h9DC9jcBmAW//vqr6+3r7/KYflxRdf/H8Jcgy/++67ad+eemuho6PDY7Fu092Wk/ort1V7T3dbb059ImNZOcuUlpZOnTp1y5Ytbh2ScTm5TtfT8x4LT9vDbhvvtvN3seelHsjFxvDhw+VYk4plTcz+eLcaMjqXa+uSkhIZHr300kvWxKSD3RnRoEGDpOZZB+Ds2bOtB54ssg3WBZXH9qftwxOJT05vuukm2Z/79u07ePDgq6+++tVXX7V74/e///0555xjHf7SePTRRzMusE9KhTuR+NtPWbJslZy4zj33XPs/MP35z3+W6dKN0g8jR4689dZbnSc05zK9T5JunZ/Un05Z5sstXreXbot12rhxo6T+5JNPlquC+++/P7XHct2XZIbvf//70jnSRT/72c9kyWlDcMuCvRy5GpERvPXXgg899FBO++rx48clljPOOEMONxmXb9iwwbs/LR7lzJZ6UOTUmW4blvYoTlpX9juJdObo0aO/+OIL50Tv2E3Tm7YVAOCL3lWoetY///lPGar29Fb0sGPHjtl/e1QYl19++RNPPFHINfqOYwwA1GGAldEdd9yxd+/eXbt2XXjhhT/60Y96enN62Ouvv27/tWB3O378+MMPPzxmzBj7PzX0Uhxj6BapHzAZeELvFRuZq0AGBd+xV2R07733Dh8+fMiQITfffHMv/TcBPvrSl7700EMPFWZdsnOOGDFChnSFWV334RgDAADwGQMsAAAAnzHAAgAA8BkDLAAAAJ8xwAIAAPAZAywAAACfaRlgpf3bdQAAUGA9PSIokCDHqTOjAAAYS085VhOnmowCAGAsPeU4yHFyBwsAAKPoKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yHOQ4+YgQAACj6CnHauJUk1EAAIylpxybEmd7e/vs2bMHDRpUVla2bNkye3o8Hq+rqwuHw5FIpKGhQV5mv0zuYAEAYBQ95diUOOfOnTtjxox9Cdddd90jjzxiTW9qaqqqqtqZII3m5ub8lq8nowAAGEtPOTYlzsGDB+/fv99qyxhr3LhxVru6urqlpcVqS6Ompib7ZXIHCwAAo+gpx6bEKQOstrY2qy0jrXA4bLVDoVA0GrXaMoM9PVd6MgoAgLH0lGNT4pw1a9bMmTP3J9xwww19+/a1phcVFcViMastjeLiYo+F8OVHAACYTE85NiXOgwcPyrgqEokMHTr0nnvuOeWUU6zp3MECACAw9JRjE+N88MEHZbBltbvyDJaTnowCAGAsPeXYlDhnzpy5Z8+e9vb2J598sqKi4u2337amNzY2uv0VYcYk8REhAABG0VOOTYlzzZo1w4YNKy0tnTp16pYtW+zp8Xi8trY2nFBfX+/8P1g5JUlPRgEAMJaechzkOLmDBQCAUfSUYzVxqskoAADG0lOOgxwnd7AAADCKnnKsJk41GQUAwFh6ynGQ4+QOFgAARtFTjtXEqSajAAAYS085DnKc3MECAMAoesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHAc5Tj4iBADAKHrKsZo41WQUAABj6SnHQY6TO1gAABhFTzlWE6eajAIAYCw95TjIcXIHCwAAo+gpx6bE+d5771122WXhBGnIS2t6PB6vq6uTiZFIpKGhQV7mt3w9GQUAwFh6yrEpcVZXVy9evLg9YdGiRfLSmt7U1FRVVbUzQRrNzc3ZL5M7WAAAGEVPOTYlztLS0sOHD1vtQ4cOyUurLSOtlpYWqy2Nmpqa/JavJ6MAABhLTzk2Jc5rr7327rvv/uSTT9rb25csWSIvremhUCgajVrttra2cDic3/L1ZBQAAGPpKcemxPnhhx+edtpp1md50vjoo4+s6UVFRbFYzGpLo7i42GMhfTx1ewwAAMCTnnJsSpxTpkxZtGiR/QyWvLSmcwcLAIDA0FOOTYlzwIABvj+DxR0sAACMoqccmxKnDKSWLFli3cG666677IFUY2Oj218R5pQkPRkFAMBYesqxKXHu2LHj4osv/r+ESy655N1337Wmx+Px2tpa6/9j1dfXO/8PVsYkcQcLAACj6CnHauJUk1EAAIylpxwHOU7uYAEAYBQ95VhNnGoyCgCAsfSU4yDHyR0sAACMoqccq4lTTUYBADCWnnKsJk41GQUAwFh6ynGQ4+QjQgAAjKKnHKuJU01GAQAwlp5yHOQ4uYMFAIBR9JRjNXGqySgAAMbSU46DHCd3sAAAMIqecqwmTjUZBQDAWHrKcZDj5A4WAABG0VOOTYkzaTAUCoWs6fF4vK6uLhwORyKRhoYGeZn38v3bWAAAkA895djEOFevXn3nnXda7aampqqqqp0J0mhubs5vmXoyCgCAsfSUY+Pi/Pzzz0eOHPnhhx9aL6urq1taWqy2NGpqarJfFB8RAgBgFD3l2Lg4m5ub582bZ78MhULRaNRqt7W1hcPh/BarJ6MAABhLTzk2K87jx49/7Wtfa21ttacUFRXFYjGrLY3i4mKPt/fx1L2bDgAAMtFTjs2Kc+3atZdffrlzCnewAAAIDD3l2Kw4v/Wtb73yyivOKTyDBQBAYOgpxwbFuXHjxm9/+9tJExsbG93+ijCnJOnJKAAAxtJTjg2Kc9y4cRs2bEiaGI/Ha2trwwn19fXO/4OVMUncwQIAwCh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccBzlOPiIEAMAoesqxmjjVZBQAAGPpKcdBjpM7WAAAGEVPOVYTp5qMAgBgLD3lOMhxcgcLAACj6CnHauJUk1EAAIylpxwHOU7uYAEAYBQ95VhNnGoyCgCAsfSU4yDHyR0sAACMoqccq4lTTUYBADCWnnKsJk41GQUAwFh6yrFBcb755pvTpk0bOHDgsGHD1qxZY02Mx+N1dXXhcDgSiTQ0NMjL7BfIR4QAABhFTzk2Jc7t27dXVFQ89thjH3/88QcffHD99ddb05uamqqqqnYmSKO5uTm/5evJKAAAxtJTjk2JU0ZUDzzwQOr06urqlpYWqy2Nmpqa7JfJHSwAAIyipxybEufQoUOXLl1aXl4+aNCg2bNnt7e3W9NDoVA0GrXabW1t4XA4v+XrySgAAMbSU45NibO4uPjGG2/cnzBjxoy5c+da04uKimKxmNWWhszmsZA+nro9BgAA4ElPOTYlzlAo1NbWZrVljFVWVmZP5w4WAADBoKccmxLnuHHjZFxltfft22cPsHgGCwCAwNBTjk2Jc82aNTNnzrQ/Ipw3b541vbGx0e2vCHNKkp6MAgBgLD3l2P84Ozs7lyxZMmrUqJKSEvl59913Hz16NJs3ypxlZWWRSGTWrFn2Q+7xeLy2tjacUF9f7/w/WAywAADoXfSUY//jvO222yZPnrx161YZacnPSZMm3X777b6vJRt8RAgAgFH0lGP/4xw6dOiePXvsl9KWKb6vJVd6MgoAgLH0lOMgD7C4gwUAgFH0lONu+YhwypQpb731Vmdnp/yUdk99ROikJ6MAABhLTznulofcFy9efPrpp5eUlMjPpUuXZvmQu++4gwUAgFH0lGM1carJKAAAxtJTjoMcJ3ewAAAwip5y7H+cW7durampGTBggFGDGxO2AQAA5fSUY//jPP/885cvX/7pp5/6vuSu0JNRAACMpacc+x9nSUnJkSNHfF9sHviIEAAAo+gpx/7Hedppp73//vu+L7aL9GQUAABj6SnH/sf50EMPXXXVVXv37vV9ybniDhYAAEbRU479ibNPJr6spYtb2NObAACAdnrKsSlxug3I4vF4XV1dOByORCINDQ3ysuvLBAAAPUJPOfY/zpNOOimf7XDp8aampqqqqp0J0mhubs5vq/RkFAAAY+kpx/7Heeqpp/7nP//JeTtcery6urqlpcVqS6OmpianZXIHCwAAc+gpx/7HuXr16muuuWbXrl25fpxXVlZWWlp61lln3XfffceOHbOmh0KhaDRqtdva2sLhcH5bpSejAAAYS0859j/OrjzkfvTo0ddff72mpuaOO+6wphQVFcViMastjeLi4lxXzR0sAAAMoaccmxjnBx98YN+p4g4WAACBoaccmxjnnj17hg4darW78gyWk56MAgBgLD3l2JQ4Z8yYsXXr1s8//7y1tXXKlCm33XabNb2xsdHtrwgzJomPCAEAMIqecmxKnOvWrRs7dmz//v1HjRq1ePHizs5Oa3o8Hq+trQ0n1NfXOx+czylJejIKAICx9JTjIMfJHSwAAIyipxyriVNNRgEAMJaechzkOLmDBQCAUfSUYzVxqskoAADG0lOOgxwnd7AAADCKnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx0GOk48IAQAwip5yrCZONRkFAMBYespxkOPkDhYAAEbRU47VxKkmowAAGEtPOQ5ynNzBAgDAKHrKsZo41WQUAABj6SnHQY6TO1gAABhFTzk2K85oNFpRUeHs/Xg8XldXFw6HI5FIQ0ODvMxvyXoyCgCAsfSUY7PivOWWW1asWOHs/aampqqqqp0J0mhubs5vyXoyCgCAsfSUY4PibG1tHTVqVGdnp7P3q6urW1parLY0ampqsl8gHxECAGAUPeXYoDgvvfTSxx9//MT/9n4oFIpGo1a7ra0tHA7nt3A9GQUAwFh6yrEpcb7wwgvnnXee9YiVs/eLiopisZjVlkZxcbHHQvp46tbtBwAAGekpx6bEOWbMmJdfftlqcwcLAIBA0lOOTYnT7YYTz2ABABAYesqxiXE6e7+xsdHtrwhzSpKejAIAYCw95djEOJP+D1ZtbW04ob6+3vl/sDImiTtYAAAYRU85VhOnmowCAGAsPeU4yHFyBwsAAKPoKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yHOQ4+YgQAACj6CnHauJUk1EAAIylpxwHOU7uYAEAYBQ95VhNnGoyCgCAsfSU4yDHyR0sAACMoqccq4lTTUYBADCWnnIc5Di5gwUAgFH0lGM1carJKAAAxtJTjtXEqSajAAAYS085NiXOjRs3TpgwoX///uXl5XPmzNm3b581PR6P19XVhcPhSCTS0NAgL7NfJh8RAgBgFD3l2JQ4J02atH79+vb29sOHDy9fvnzy5MnW9Kampqqqqp0J0mhubs5v+XoyCgCAsfSUYxPj7OjoKC0ttdrV1dUtLS1WWxo1NTXZL4c7WAAAGEVPOTYuziNHjqxcuXL69OnWy1AoFI1GrXZbW1s4HM5vsXoyCgCAsfSUY7PitG41DRky5J133rGmFBUVxWIxqy2N4uLijG930+1bDwAAPOkpx8bFeejQoWXLlo0fP956yR0sAAACQ085NjFOGWMNHDjQavMMFgAAgaGnHJsS56xZs1pbW2Ox2O7duxcuXGg/g9XY2Oj2V4Q5JUlPRgEAMJaecmxKnOvWrRs7dmy/fv0qKioWLFhw8OBBa3o8Hq+trQ0n1NfXO/8PFgMsAAB6Fz3lOMhx8hEhAABG0VOO1cSpJqMAABhLTzkOcpzcwQIAwCh6yrGaONVkFAAAY+kpx0GOkztYAAAYRU85VhOnmowCAGAsPeU4yHFyBwsAAKPoKcdq4lSTUQAAjKWnHAc5Tu5gAQBgFD3lWE2cajIKAICx9JRjNXGqySgAAMbSU46DHCcfEQIAYBQ95VhNnGoyCgCAsfSUY1PifP755ydPnlxSUlJeXj5//vwDBw5Y0+PxeF1dXTgcjkQiDQ0N8jL7ZXIHCwAAo+gpx6bEOXXq1JaWlo6Ojv379y9YsGD69OnW9Kampqqqqp0J0mhubs5v+XoyCgCAsfSUYxPjPHz48MCBA612dXW1DLystjRqamqyXw53sAAAMIqecmxinBs2bJg4caLVDoVC0WjUare1tYXD4fyWqSejAAAYS085Ni7OLVu2jBw5cvv27dbLoqKiWCxmtaVRXFzs8d4+nrp90wEAgCc95disODdt2lRZWbl582Z7CnewAAAIDD3l2KA4165dO2zYsDfeeMM5sSvPYDnpySgAAMbSU45NiXPVqlWVlZXbtm1Lmt7Y2Oj2V4QZk8RHhAAAGEVPOTYlztRHpjo6Ok4k/g9WbW1tOKG+vt75f7BySpKejAIAYCw95TjIcXIHCwAAo+gpx2riVJNRAACMpaccBzlO7mABAGAUPeVYTZxqMgoAgLH0lOMgx8kdLAAAjKKnHKuJU01GAQAwlp5yHOQ4uYMFAIBR9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOQ5ynHxECACAUfSUYzVxqskoAADG0lOOgxxn6vcbAgCAntXTo4MC0RJnNgqTddZi5loKtiLWwlqCsZaCrYi1aF5Lr0YH/VeQdkrWYuyKWAtrCcZaCrYi1qJ5Lb0aHfRfQdopWYuxK2ItrCUYaynYiliL5rX0anTQfwVpp2Qtxq6ItbCWYKylYCtiLZrX0qvRQYXGTmksUmMm8mIsUmMm8mII0lBo7PrGIjVmIi/GIjVmIi+GIA2Fxq5vLFJjJvJiLFJjJvJiCNJQaOz6xiI1ZiIvxiI1ZiIvhiANhcaubyxSYybyYixSYybyYgjSAAAA4DMGWAAAAD5jgAUAAOAzBlgAAAA+Y4AFAADgMwZYAAAAPmOABQAA4DMGWF3V5/9zTozH43V1deFwOBKJNDQ0yMvUN7rNk817kY20qfGYbiM13Spt/z///POTJ08uKSkpLy+fP3/+gQMHUt9IXrpb2tRs3LhxwoQJ/fv3l9TMmTNn3759qW8kNd3K45QVjUYrKirczmbkpWcxwPJH0v7d1NRUVVW1M0Eazc3NqW9xmyeb9yJ7bqcejwEWqSmApP6fOnVqS0tLR0fH/v37FyxYMH369NS3kJfCSErNpEmT1q9f397efvjw4eXLl8s4OPUtpKYA0p6ybrnllhUrVridzchLz2KA5Y+k/bu6ulqqhdWWRk1NTeqcbvN4vBd5yH6ARWoKyWOAK4V84MCBqXOSl8LwSI2MgEtLS1PnJDUFkJqX1tbWUaNGdXZ2Jv2KvBiCAZY/kvbvUCgUjUatdltbWzgcTp3TbR6P9yIPeQywSE0BeFTxDRs2TJw4MXVO8lIYbqk5cuTIypUrnTcXSU0hpebl0ksvffzxx1N/RV4MwQDLH0n7d1FRUSwWs9rSKC4uTn2L2zzZvBfZy+MjQlJTAG79v2XLlpEjR27fvj31V+SlMNKmxnoGaMiQIe+8807qb0lNASTl5YUXXjjvvPOsx6fcjiby0rMYYPkj+ztYGefh2sJfeQywSE0BpO3/TZs2VVZWbt68Oe1byEthuB0ahw4dWrZs2fjx41N/RWoKICkvY8aMefnll9P+ykZeehYDLH9k/wxWxnn4dNxfeQywSE0BpPb/2rVrhw0b9sYbb7i9hbwUhsehIWMs5+NxNlJTAKmfAyZJfQt56VkMsPyRtHM3Nja6/Y2GPafbPB7vRR7yeAaL1BRAUv+vWrWqsrJy27ZtHnOSl8JISs2sWbNaW1tjsdju3bsXLlyY9hksUlMAHgNft2ewyEvPYoDVVWmvIeLxeG1tbTihvr7e+V9GMs7j8V7kxO3yzmO61SA13Spt/6dejnd0dNi/shrkpbulTc26devGjh3br1+/ioqKBQsWHDx40Dm/1SA13SrjnSq3ARZ56VkMsAAAAHzGAAsAAMBnDLAAAAB8xgALAADAZwywusTtG2pz/YrNbL7p1uL2nKPH848ZZ+OLPwEA8BcDrC5x+4baXL9iM5tvunVyG0hlHGClnY0v/gQAwF8MsHzj/Ibarvx7t6Rvuk3L3wEW/3QOAAB/McDyjfMbarvyBQVJ33Sblr8DLL42AQAAfzHA8kfSN9Tm/RWbHt906+TvAIsv/gQAwF8MsHyQ+g21+d3BSl2OxyPtabck9f/5ZvN27mABAOAvBlhdlfYbavN4BivjN9068QwWAAAmY4DVJW7fUJvrV2x6fNNtWv4OsPjiTwAA/MUAq0vcvqE216/Y9PimW+81Zpyezdv54k8AAPzFAAsAAMBnDLAAAAB8xgALAADAZwywAAAAfMYACwAAwGcMsAAAAHzGAAsAAMBnDLAAAAB8xgALAADAZwywAAAAfMYACwAAwGcMsAAAAHzGAAsAAMBnDLAAAAB8xgALAADAZwywAAAAfMYACwAAwGcMsAAAAHzGAAsAAMBnDLAAAAB8xgALAADAZwywAAAAfMYACwAAwGcMsAAAAHzGAAsAAMBnDLAAAAB89v8AjjXGtuscM3sAAAAASUVORK5CYII=)
| VMR Tools created by Darren De Zeeuw. |