Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit354-12-20021016_003900_20021016_051900-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/10/16 |
Start Time | | 2002/10/16 00:39 |
End Time | | 2002/10/16 05:17 |
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 | | 18.29 |
Dipole Tilt, in Y-Z GSE plane, deg | | 16.27 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 181.40000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit354-12-20021016_003900_20021016_051900-constBx0 |
Minimum Dst Value | | -55 |
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-1 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAU2F0IEphbiAxMiAxOToxNjowMSBFU1QgMjAxOcPE7B8AAAHOdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQzNTUtMDEtMjAwMjEwMTZfMDUxOTAwXzIwMDIxMDE2XzEwMDQwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIENsdXN0ZXItMSB0cmFqZWN0b3J5LiIsIAogICAgInhheGlzIjogeyAibGFiZWwiOiIiLCAibWluIjoiMjAwMi0xMC0xNlQwNToxOTowMC4wMDBaIiwgIm1heCI6IjIwMDItMTAtMTZUMTA6MDI6MDAuMDAwWiIsICJsZWZ0Ijo3OCwgInJpZ2h0Ijo3MDksICJ0eXBlIjoibGluIiwgInVuaXRzIjoiVVRDIiB9LAogICAgInlheGlzIjogeyAibGFiZWwiOiJyaG8iLCAibWluIjowLjcwMjUyODk5OTUsICJtYXgiOjMuNTEzMDUxMDAwNSwgInRvcCI6NTIsICJib3R0b20iOjIzNSwgInR5cGUiOiJsaW4iLCAidW5pdHMiOiIiIH0KICB9CiBdfaFNp50AAAAEZ0FNQQAAr8g3BYrpAAAjI0lEQVR4nO3df3AU9fnAceRXQtKmF0iJiSQQKa10kFZGO9AEhJiglKpoOzSo/JLatBVG2gqJhh+lLdJ2CiOOEizFjjNWQuxgRkvodKy0U2tloBna1CAIQgiW3wQSNBBD+D6Tne/O9bO3e3vJfo7N7fv1R2Zvb/ezu8+ze89zl/vR5yoAAAA81eda7wAAAECiocECAADwGA0WAACAx2iwAAAAPEaDBQAA4DEaLAAAAI/RYAEAAHiMBgsAAMBjNFgAAAAeo8ECAADwGA0WAACAx2iwAAAAPEaDBQAA4DEaLAAAAI/RYAEAAHiMBgsAAMBjNFgAAAAeo8ECAADwGA0WAACAx2iwAAAAPEaDBQAA4DEaLAAAAI/RYAEAAHiMBgsAAMBjNFgAAAAeo8ECAADwGA0WAACAx2iwAAAAPEaDBQAA4DEaLAAAAI/1+garT59efwgAEH86HjzffvvtUaNGRR1Zx6avVS2gBsFOrz8z7E5uTnoAcKDjQbKgoGDbtm3XZNM0WB5KyIOKv14fxFifKm3fvn3SpElJSUlZWVlz5849ceKEuVi48NUjzld0dnYuXbo0FAqlp6eXl5fLTesIDju5Y8eOwsLC5ORk2asFCxacOXPGeVi7+Xbj2O1GN3Z77969U6dOTU1Nzc7O3rx5s8NB2Q3uENKIM5ubm+fMmTN48OCMjIyVK1dGHd/hoKwSMvKxbtQ5YqdPn87JyQkfypPI62B3Ol133XWZmZklJSVNTU0Oq3dj/48fP/79739/xIgRAwYMkLXuuusueYSJuDPKTJn44he/GL4JmR49enT4AuZd+/btu//+++USGDhw4K233vrKK68Y88+fPy/7OWrUqEGDBsnW77333jfeeCPqPlt3ptsLWKWlpV26dKnnm+4G3T2BXRa6t12v9jZqfYlnq0Rbpuj14Yj1MWLKlCnyBEtqdktLy6pVq6QoOo/j8ozZuHHjuHHjPugiE5s2bYppnOLi4tra2tbW1pMnT5aWlk6fPt15WLv5duPY7Uasu71//36ptS+99NK5c+caGxtnzZrVjZjEmrJ58+ZJaTzRZebMmS+88EL3ghNRQkY+1o0674w0EE899VT4UJ5EXgdrg2VMXLly5cMPP/zRj35UUFDgsHqs+3/s2LHhw4fLsA0NDR9//LF01a+//vqdd94ZcWeUmTIhRfq1114z73r11VdljrXBOnDggHSHv/rVryTv0ru888473/jGN4y7ZFuPPPKILHD58uVTp05t3br19ttvd97niDvT7QW6vUqva7AcsnBtG6yoo9FgXUP+DYecxI899lhmF5kwnxVJCtetWzds2DB5Vmrc/MUvfjF06FB5YvHoo4/KA4252NX/fbHEugkphykpKeHLW7k8YyZMmCD11ZiWifz8/O6NI6TzS01NdR426uaUcex2I9bdlrr+7LPPujwQu8FjfVgfMmSIdC3GtPRYZo3sSXAiSpjIx7pRh52R1mHkyJFtbW3hQ/Uw8p988sny5ctzc3NDoZBULGOmw/VeWVkpfUxycvL48ePr6+uN+W+88cYtt9wiM+UuoxOyXuzK4Z8/f37QoEEy8d3vftds08XmzZtljvP+RzxpH3744SeeeCLiMdqtEr5v1dXV4ZuQo3vllVesO//AAw/87Gc/i7gJORw5KLsdCN+ow4PkVZvgOz94xrqK9XE7YlrtToNw8mRDmhs5lrS0tPvuu+/06dNuDsd5o3ICyICyvAQq4vE6ZMHufDNvujlX5TnAT3/60xEjRqSnp8+fP//ixYsR42bHoX5ZL4rwAaMG027HrFexdVtuivjEiRO3bNli7rD0r1lZWW7O6l7Bvw2WJK+oqKipy5QpU1asWGHMl9zce++98nzUvCmLHesiEz/+8Y/N+cqEQk6UNWvWmK80yGIZGRnSb40ZM2b9+vUdHR3O8xVydpqnpjyVlHNOWcB9g1VTUzN58mTnYaNuThnHbjdi3W25TiQvcgHIBTlnzpzm5maHA7EbPGpIrQ2WrG5MS6cVNQhughNRwkQ+1o067MzXvva13/3ud8pQPYy8FCqJz8GDB8+dO7d48WJjpsP1PmPGjMOHD8sFu2rVKrMjkVD8/ve/l4dseUResGBBxOMNLxLHjx8vKyszXuCRDmPSpElbt26V6aqqKplub2933v+I16/sg9SniMdot0r445Ls1ahRo/7+97/LzZ07d8q0zLE+cEnqDx06FHET06ZNmzlz5ltvvfXxxx/b7cZVFw+SDsG3GzPWVayP2xHTajdsuLFjx7755ptyyFKGFy5c+O1vf9v94UTc6LJlyySSH3aZOnVqxENwyELUBsvNubp27do77rjjgw8+kIvioYce+uEPfxgxbnYcMmXdq/ABowbTbsciXsXKttwU8T/+8Y+jR4+WM9+4S+Lz85//3PlgexH/Nlg33njju+++a0zLUw15Gm1MS26OHDliLiY3zcX+85//hC+mTIQzumx5Svf++++Hz5drYPfu3XLhmWeM83xT3759jcdoIRP9+vWzbjHKAXepq6vLy8szH7Xtho26OWUcu92IdbdlAbnGTnYpKSmZN2+ew7E4D+4QUmWjs2fPfvDBB42NyvPI/v37O48f9aAiSqTIx7pRu/l/+tOfvvKVrxjvEwofqoeR/9znPme+eGByuN6lNzKmP/roI+MlKJGTk/PMM88cPXrU4Xj7/C95Ci4PEcZdJ06ckDSVl5fLX/ONmLGeOXIqhnc21pcKrKso9z7//PP33HPP1a5/9v3617+2LmBspa2tLeIOXLhwQWrYl770peTkZAng448/HvGpf9QHSYfg2x17rKtYH7cjptVuWDsSgWHDhrk/HLuN7tu3z5iWFSMegkMWojZYbs7Vm2666b333jOm5YQcPny4uVh43OzE1GDZDRgxmHY7FvEqVrblsojfdtttxrO4AwcOyA5IauyOpdfxb4MlDxnmCS0TctOYltwo7wi2W0yZUMjJtHLlyokTJ1rvkucZEZ98h89XHkxjfUFCWd0gz2Jzc3N37dplzuneSwXWcex2I9bdluXDX0zKyMiwbsL94FdtQq1s9OzZs9JXSXWUJ5GrV6++/vrrncfvxitYCRb5WDdqN//mm2/+29/+Zh0q1nGUsz380jY5XO8Rj+if//znjBkzhgwZMmrUKPP/enYLG/tTUVFhvudSyPNpWcD8H6XD/tuRU9Ghkx4wYIDyHy45LunhwheTBbKysl5++WX5a/6XTRnH4bUTkzwkSuc0d+5c65v/rrp4kHQZ/HCxrmJ93FbudR42nDwxkzzKA4JxUpl9cKyHE768mSnlv+GmnryC5eZclW4v/MlA+Hni5hMwMTVY4QNGDabdjkW8ipVtuSziNTU1X/jCFzo6OmbNmiWdqN2B9Eb+bbBcPkMKf3ImE9bFHP51LT2W9b0yoqmpSS4n9/OvevEerKqqquzs7D179rgZ1mFzEcex241Yd7ugoCD87VDOZd7NO3IihtQhVs8995w0W87jx/oerMSLfKwbdXi3nKJ74yikzMT0CpbDEcnD9B/+8Aez51YudmXhlpYW80WLvXv3ynPlbdu23XDDDebL2LGeOdLQlJeXKzPNjY4ePfqdd94Jv+sf//jHiBEjlMXWrFnTv39/898i1motJ/xTTz3lvCeG5ubmT3/609b5UR8k7YLv8ODZjVew3Nx08wqWzHzxxRfleZeUZPlrjVis55KbV7AcshDeqJmvvhw/fjymc1U6jMOHDzsM7sxhMeeLImow7XYs4lWsbMtlIiQy8lxuyZIlcnWYbxBMDP5tsOTppvnvW2mxly1bZsy3XiRTp0413l4gE9a3Anz2s59taGgwl589e7bcbG9vP3r06MKFC80nfCUlJXIGSHblXtnuokWLnOcrKisre/IpwrVr1+bm5poXedRh7ebbjWO3G7Hu9ubNm83/1klk5s+f73BQdoNHDamyUdminANSPLZs2ZKTk2O+Xh1rcCJKyMjHulE3EQsfqoeRX7169eTJkw8dOhT+7g3317sxIUGQx245i6RoSV9rzFQu9vB1z5w5s3z58vHjx1/tev+lPKD/9a9/lenXXnvtlltuMf7T57D/Ea/fI0eOyKbNTxHK4bz++uvmkvJkQLbyl7/85UKXnTt3jhkz5pe//KXDgOHzzYkDBw5IVV63bp1E5tKlS7t27TI/v3b77bdv3bpVGm55QJN9Li0tnTZtWsQxnR8k7YKvxDOcy3zZBdDupt2w4SQar776qoRCTiEJhTVisZ5Lsrz5Hqw777wz4iE4ZMFcXjryVatWydklubjnnntiOleffvpp2WeZI4v9+9///ta3vuUcT4XDYg4XxVUXwbTbsYhXsbIt9yeJPDuVmb/5zW9cHlRv4d8DaGtrk9JrfABBJsxXGq0XifEBmfT09O9973vhn1MwJqTyhUIh82Z1dfXYsWMHDhwopVoej6RnD5+flJQkXbacFubm7OYrpAeXBjzUpaysLOKLuuGvASisLxW0trY6DGs3324cu93oxm7Lo3NGRoZEW1pV57da2w3uENKIG5XeQh6VUlJSiouL6+rqoo7vcFABiXysG3UTsfA96WHkpRt48sknhw0bJsciFcuY6f56Nyak25bn1snJydIevfnmm8ZM5WIPj8DgwYOl5h08eFDmz5kzx3jDk0H2wWhYnZMS8VgaGxsffvhhOT/79+8/ZMiQ++677+233zaj8dvf/vbWW2/9TBeZePHFF6MO2MdS4a52fZZTRpa9kgeu2267zfwGpj//+c8yX8IoccjLy3v00UfNBzRlTOcHSbvgK/EM5zJfdsdrd9Nu2HDbt2+X1A8YMECe0jzzzDPWiMV6LskC3/nOdyQ4EqKf/OQnMnLEQ7DLgjmOPG+UDt74tOCGDRtiOlevXLkix3LTTTfJA6P05TU1Nc7xDD+KiA8XJutFEVMw7XYs4lWsbMv9SSLBHDVq1CeffKIcmvOx+1+vPwAAgIMEKFRx869//Uta1Wu9F9dYR0eH+Vmi+Lj77rtffvnleG4xPrjwACCR0WBFtXjx4uPHjx85cuSOO+74wQ9+cK135xrbvXu3+WlB3a5cufL888/ffPPN5jc1JBIuPPSU9b9jPnxA7xU7GauEPCh4jrMiqqeffnrYsGFDhw595JFHEulrArrnU5/61IYNG+KzLTk5R4wYIS1dfDYXZ1x4AAAAHqPBAgAA8BgNFgAAgMf80mBt37590qRJSUlJWVlZc+fONX+8IhzvNQEAAL2CX9qUKVOmbNu2rbm5uaWlZdWqVeG/aGGiqQIAAL2CH1uW1tbWlJQU63waLAAA0Cv4rmW5ePHimjVr7H6yNCMjQ3qvMWPGrF+/vqOjw/2wET/QDgAAvOJdL5AI/BUOI0NDhw41f37V6tKlS7t3787Pzzd//0hZncQDABBn1FmF78Jx4cKFlStXTpw40XmxxsbGUCjkflgSDwCAPtRZhR/DIT1Wamqq8zJNTU2ZmZnuxyTxAADoQ51V+CUcs2fPbmhoaG9vP3r06MKFC8Pfg2XmrKSkpL6+/vLly7JkUVHRokWL3I9P4gEA0Ic6q/BLOKqrq8eOHTtw4MCcnJzS0tKzZ8+ad5k5M5ZJSkoaOXJkRUVFW1ub+/FJPAAA+lBnFUEJB4kHAEAf6qwiKOEg8QAA6EOdVSRyOPiaBgAA4oM6qwhKOEg8AAD6UGcVQQkHiQcAQB/qrCIo4SDxAADoQ51VBCUcJB4AAH2os4qghIPEAwCgD3VWkcjh4FOEAADEB3VWEZRwkHgAAPShziqCEg4SDwCAPtRZRVDCQeIBANCHOqsISjhIPAAA+lBnFUEJB4kHAEAf6qwiKOEg8QAA6EOdVSRyOPiaBgAA4oM6qwhKOEg8AAD6UGcVQQkHiQcAQB/qrCIo4SDxAADoQ51VBCUcJB4AAH2os4qghIPEAwCgD3VWkcjh4FOEAADEB3VWEZRwkHgAAPShziqCEg4SDwCAPtRZhV/CsX379kmTJiUlJWVlZc2dO/fEiRPWZTo7O5cuXRoKhdLT08vLy+Wm+/FJPAAA+lBnFX4Jx5QpU7Zt29bc3NzS0rJq1arCwkLrMhs3bhw3btwHXWRi06ZN7scn8QAA6EOdVfgxHK2trSkpKdb5EyZMqK2tNaZlIj8/3/2YJB4AAH2oswrfhePixYtr1qyZPn269a60tLTTp08b06dOnQqFQu6HJfEAAOhDnVX4KxzG9ykMHTr0/ffft97bt2/f9vZ2Y1om+vXrF3F1O9r3HgCAoKLOKnwXjgsXLqxcuXLixInWu3gFCwAAf6LOKvwYDumxUlNTrfN5DxYAAP5EnVX4JRyzZ89uaGhob28/evTowoULw9+DZeassrKSTxECAOBD1FmFX8JRXV09duzYgQMH5uTklJaWnj171rzLzFlnZ+eSJUtCXcrKyvgeLAAAfII6qwhKOEg8AAD6UGcViRwOPkUIAEB8UGcVQQkHiQcAQB/qrCIo4SDxAADoQ51VBCUcJB4AAH2os4qghIPEAwCgD3VWEZRwkHgAAPShziqCEg4SDwCAPtRZRSKHg69pAAAgPqiziqCEg8QDAKAPdVYRlHCQeAAA9KHOKoISDhIPAIA+1FlFUMJB4gEA0Ic6qwhKOEg8AAD6UGcViRwOPkUIAEB8UGcVQQkHiQcAQB/qrCIo4SDxAADoQ51VBCUcJB4AAH2os4qghIPEAwCgD3VWEZRwkHgAAPShziqCEg4SDwCAPtRZRSKHg69pAAAgPqiziqCEg8QDAKAPdVbhl3Ds2LGjsLAwOTk5KytrwYIFZ86csS7Tk1ekSDwAAPpQZxV+CUdxcXFtbW1ra+vJkydLS0unT59uXaYnySPxAADoQ51V+DEcLS0tqamp1vk0WAAA+BN1VuHHcNTU1EyePNk6X5KXkZGRkpIyZsyY9evXd3R0uB+TxAMAoA91VuG7cNTV1eXl5e3fv99ugUuXLu3evTs/P3/x4sXKXX0cad5xAACCizqr8Fc4du7cmZubu2vXrqhLNjY2hkIh9yOTeAAA9KHOKnwUjqqqquzs7D179rhZuKmpKTMz0/3gJB4AAH2oswq/hGPt2rW5ubn79u2z3mXmrKSkpL6+/vLlyw0NDUVFRYsWLXI/PokHAEAf6qzCL+GwvmWqtbXVvMuYqK6uHjt2bFJS0siRIysqKtra2mIa3/udBgAAXaiziqCEg8QDAKAPdVYRlHCQeAAA9KHOKhI5HHxNAwAA8UGdVQQlHCQeAAB9qLOKoISDxAMAoA91VhGUcJB4AAD0oc4qghIOEg8AgD7UWUVQwkHiAQDQhzqrSORw8ClCAADigzqrCEo4SDwAAPpQZxVBCQeJBwBAH+qsIijhIPEAAOhDnVV4H462trZly5aNHDkyOTlZ/q5YseLSpUuebyVWJB4AAH2oswrvw7Fo0aLCwsL6+nrptOTvlClTHnvsMc+3EisSDwCAPtRZhffhyMzMbGpqMm/KtMzxfCuxIvEAAOhDnVUkcoPF1zQAABAf1FmFln8RFhUVvfvuu21tbfJXpvkXIQAAiY06q9DyJveKioobb7wxOTlZ/i5fvpw3uQMAkNios4qghIPEAwCgD3VWEZRwkHgAAPShziq8D0d9fX1+fv6gQYN89QZzP+wDAACJijqr8D4c48ePX7Vq1UcffeT5yD1B4gEA0Ic6q/A+HMnJyRcvXvR82G7gaxoAAIgP6qzC+3AMHz788OHDng/bQyQeAAB9qLMK78OxYcOGGTNmHD9+PKa1duzYUVhYmJycnJWVtWDBgjNnzliX6ezsXLp0aSgUSk9PLy8vl5vuxyfxAADoQ51VeBOOPtFEHaG4uLi2tra1tfXkyZOlpaXTp0+3LrNx48Zx48Z90EUmNm3aFNMexnA8AAAgFtRZhR/D0dLSkpqaap0/YcIEacKMaZnIz893PyaJBwBAH+qswvtwXHfddT0coaamZvLkydb5aWlpp0+fNqZPnToVCoXcj0niAQDQhzqr8D4cN9xww3//+99ur15XV5eXl7d//37rXX379m1vbzemZaJfv37KAj38NyUAAOge6qzC+3CsW7fu/vvvP3LkSExvQjfs3LkzNzd3165dEe/lFSwAAPyJOqvwPhzdfvWoqqoqOzt7z549dgvwHiwAAPyJOqvwSzjWrl2bm5u7b98+611mziorK/kUIQAAPkSdVfglHNYXvVpbW827jInOzs4lS5aEupSVlfE9WAAA+AR1VhGUcJB4AAD0oc4qghIOEg8AgD7UWUUih4OvaQAAID6os4qghIPEAwCgD3VWEZRwkHgAAPShziqCEg4SDwCAPtRZRVDCQeIBANCHOqsISjhIPAAA+lBnFYkcDj5FCABAfFBnFUEJB4kHAEAf6qwiKOEg8QAA6EOdVQQlHCQeAAB9qLOKoISDxAMAoA91VhGUcJB4AAD0oc4qghIOEg8AgD7UWUUih4OvaQAAID6os4qghIPEAwCgD3VWEZRwkHgAAPShziqCEg4SDwCAPtRZRVDCQeIBANCHOqsISjhIPAAA+lBnFYkcDj5FCABAfFBnFUEJB4kHAEAf6qwiKOEg8QAA6EOdVfgoHFH/l9eTf/mReAAA9KHOKnwXDucGS8ewAACgh6izCt+FgwYLAIBehzqr8F04nBusjIyMlJSUMWPGrF+/vqOjw5NhAQBAD1FnFb4LR9QMXbp0affu3fn5+YsXL7au60DbLgMAEHTUWYXvwuEyQ42NjaFQyPNhAQBAN1BnFb4Lh8sMNTU1ZWZmej4sAADoBuqswnfhsGbInFNSUlJfX3/58uWGhoaioqJFixb1ZFgAAOAV6qzCR+Gwe8uUOV1dXT127NikpKSRI0dWVFS0tbXFNLjHuwsAAP4fdVYRlHCQeAAA9KHOKhI5HHyKEACA+KDOKoISDhIPAIA+1FlFUMJB4gEA0Ic6qwhKOEg8AAD6UGcVQQkHiQcAQB/qrCIo4SDxAADoQ51VBCUcJB4AAH2os4pEDgdf0wAAQHxQZxVBCQeJBwBAH+qsIijhIPEAAOhDnVUEJRwkHgAAfaiziqCEg8QDAKAPdVYRlHCQeAAA9KHOKhI5HHyKEACA+KDOKoISDhIPAIA+1FlFUMJB4gEA0Ic6qwhKOEg8AAD6UGcVQQkHiQcAQB/qrCIo4SDxAADoQ51VBCUcJB4AAH2os4pEDgdf0wAAQHxQZxVBCQeJBwBAH+qswkfhiPpSU2dn59KlS0OhUHp6enl5udyMaXAv9hEAAERAnVX4LhwOGdq4ceO4ceM+6CITmzZt8mRYAADQQ9RZhe/C4ZChCRMm1NbWGtMykZ+f78mwAACgh6izCt+FwyFDaWlpp0+fNqZPnToVCoU8GRYAAPQQdVbhu3A4ZKhv377t7e3GtEz069fPuq4DjTsNAECwUWcVvgsHr2ABANDrUGcVvgsH78ECAKDXoc4qfBcOa4bMOZWVlXyKEAAAH6LOKnwUDru3TJnTnZ2dS5YsCXUpKyvje7AAAPAJ6qwiKOEg8QAA6EOdVQQlHCQeAAB9qLOKRA4HX9MAAEB8UGcVQQkHiQcAQB/qrCIo4SDxAADoQ51VBCUcJB4AAH2os4qghIPEAwCgD3VWEZRwkHgAAPShzioSORx8ihAAgPigziqCEg4SDwCAPtRZRVDCQeIBANCHOqsISjhIPAAA+lBnFUEJB4kHAEAf6qwiKOEg8QAA6EOdVQQlHCQeAAB9qLOKRA5HHwAAEC/Xuuz7C+GIWRzOoficphyIrzYRn61wIL7aRHy2woH4bSscSEAQnZglzFnLgfhqE/HZCgfiq03EZysciN+2woEEBNGJWcKctRyIrzYRn61wIL7aRHy2woH4bSscSEAQnZglzFnLgfhqE/HZCgfiq03EZysciN+2woEEBNEJLq4NvyEjvkI6/IaM+A0ZcUZ0gotrw2/IiK+QDr8hI35DRpwRneDi2vAbMuIrpMNvyIjfkBFnRCe4uDb8hoz4CunwGzLiN2TEGdEJLq4NvyEjvkI6/IaM+A0ZcUZ0AAAAPEaDBQAA4DEaLAAAAI/RYAEAAHiMBgsAAMBjNFgAAAAeo8ECAADwGA1Wgujs7Fy6dGkoFEpPTy8vL5eb5l179+6dOnVqampqdnb25s2b3a/rMCaisoten/+Vlpbmfl0y0m12oTt06NDXv/71UBeZkJvu1yUdPWEXvebm5jlz5gwePDgjI2PlypUxrUtGesh8XAqf6SaqZCQiGqwEsXHjxnHjxn3QRSY2bdpkzN+/f39OTs5LL7107ty5xsbGWbNmuV/Xbj7ccBO9devWPf744+7XJSPdZhe6CRMmVFRUNHd54okn5Kb7dUlHT9hFb968eSUlJSe6zJw584UXXnC/LhnxhNJguYkqGYmIBitBSGGora01pmUiPz/fmJaO6tlnn424inkV2a1rNx9uRI3e5cuX8/Lyjh07Zs4hI/rYhS4lJaWlpcWYvnDhgtw0VyEdWtlFb8iQISdPnjSmpccqKCgwVyEj8aE0WA5RJSPOaLASRFpa2unTp43pU6dOhUIhYzozM3P58uVZWVmDBw+eM2eOPE03VzGvDbt17ebDjajRkydz8+fPD59DRvSxC903v/nNFStWnD9/Xi6NZcuWyU1zFdKhlV30pMGSm8a0dFrhUSUj8aE0WA5RJSPOaLASRN++fdvb241pmejXr58xLRMPPfTQyS4lJSXz5s1zv67dfLjhHL0rV658/vOfb2hoiGldMtJtdqE7duzY8OHDjfedyMSHH37ofl3S0RN20Zs9e/aDDz5oPGQ98MAD/fv3d78uGfGE0mC5iSoZiYgGK0E4PIEIfzqYkZER07pBfvLRQ87Rq6qquvvuu2Ndl4x0m13oioqKnnjiCfM9WHLT/bqkoyfsonf27Fnpq9LT0zMzM1evXn399de7X5eMeML9K1hRlwl4RmiwEoTdv7oLCgrC39AQscHi3+c6OEfvy1/+8ltvvRXrumSk2+xCN2jQILv3YEVdl3T0hJvoPffcc9JsuV+XjHjC/Xuwoi4T8IzQYCWIysrKiB/W2Lx5s/l6e0lJSfibfsyryG5du/lwwyF627dv/+pXv2pdhYzoYxc6KQDLli0zXsF68sknI76Bl3ToYBc9ebxqamqSdGzZsiUnJ+e9994zVyEj8aE0WA5RJSPOaLASRGdn55IlS4yv8ykrKwv/upEVK1ZkZGSkp6fPnj074pvc7dZ1GBNROUSvoKCgpqbGugoZ0ccudAcOHLjrrrs+02XatGkHDx40VyEdWtlFT54TZmdnp6SkFBcX19XVha9CRnRTvqXPmOkQVTLijAYLAADAYzRYAAAAHqPBAgAA8BgNFgAAgMdosBLEjh07CgsLk5OTs7KyFixYcObMGWN+rL/BaTeOVbd/FtRh9asufpoaAAD/o8FKEMXFxbW1ta2trSdPniwtLZ0+fboxP9bf4LQbx043fhbUYXU3P00NAID/0WAloJaWltTUVGO6J9//Fj6OnW58JZ3D6g4/TQ0AQC9Cg5WAampqJk+ebEz35BcMwsex040fVXBY3eGnqQEA6EVosBJNXV1dXl7e/v37jZvd/g1OZRw73fhZUIfV3fw0NQAA/keDlVB27tyZm5u7a9cuc073XsGyjmP3nnSXr2C5Xz3qT1MDAOB/NFiJo6qqKjs7e8+ePeEzu/EerIjj2PH2PVhufpoaAAD/o8FKEGvXrs3Nzd23b58yP9bf4LQbx477nwV1s7rDT1MDANCL0GAliD4Wra2tV2P/DU67caJu0XlYl6tftf9pagAAehEaLAAAAI/RYAEAAHiMBgsAAMBjNFgAAAAeo8ECAADwGA0WAACAx2iwAAAAPEaDBQAA4DEaLAAAAI/RYAEAAHiMBgsAAMBjNFgAAAAeo8ECAADwGA0WAACAx2iwAAAAPEaDBQAA4DEaLAAAAI/RYAEAAHiMBgsAAMBjNFgAAAAeo8ECAADwGA0WAACAx2iwAAAAPEaDBQAA4DEaLAAAAI/RYAEAAHjs/wCm4IAUQmDb/wAAAABJRU5ErkJggg==)
| VMR Tools created by Darren De Zeeuw. |