Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit316-10-20020717_044500_20020717_092900-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/07/17 |
Start Time | | 2002/07/17 04:45 |
End Time | | 2002/07/17 09:27 |
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 | | -13.46 |
Dipole Tilt, in Y-Z GSE plane, deg | | 16.70 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 185.90000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit316-10-20020717_044500_20020717_092900-constBx0 |
Minimum Dst Value | | -10 |
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,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAU3VuIEphbiAxMyAwOTo1NTo1NyBFU1QgMjAxOZ6rZW8AAAHOdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQzMTYtMTEtMjAwMjA3MTdfMDkzMDAwXzIwMDIwNzE3XzE0MTQwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIEdlb3RhaWwgdHJhamVjdG9yeS4iLCAKICAgICJ4YXhpcyI6IHsgImxhYmVsIjoiIiwgIm1pbiI6IjIwMDItMDctMTdUMDk6MzA6MDAuMDAwWiIsICJtYXgiOiIyMDAyLTA3LTE3VDE0OjEyOjAwLjAwMFoiLCAibGVmdCI6NzgsICJyaWdodCI6NzA5LCAidHlwZSI6ImxpbiIsICJ1bml0cyI6IlVUQyIgfSwKICAgICJ5YXhpcyI6IHsgImxhYmVsIjoicmhvIiwgIm1pbiI6MTEuMDIzNTk5OTk5NSwgIm1heCI6MTUuMjc4NDAwMDAwNSwgInRvcCI6NTIsICJib3R0b20iOjIzNSwgInR5cGUiOiJsaW4iLCAidW5pdHMiOiIiIH0KICB9CiBdfZp+CbEAAAAEZ0FNQQAAr8g3BYrpAAAkKElEQVR4nO3df3AU9fnAceRXQtLme5GUNEgiMcVKB1JllAEDCDFohUHRztjYFlCpTYtkTFsgaaNS2gptpzDitAab0o4zRSF2MKMldBgr7UCtTChjm3oUUH7Flh8BkQS9JIbw/Xyz893ZfvbH7d3t525z+379kdnb293P7vPc7vPcZZMbcgUAAACeGpLqHQAAAEg3NFgAAAAeo8ECAADwGA0WAACAx2iwAAAAPEaDBQAA4DEaLAAAAI/RYAEAAHiMBgsAAMBjNFgAAAAeo8ECAADwGA0WAACAx2iwAAAAPEaDBQAA4DEaLAAAAI/RYAEAAHiMBgsAAMBjNFgAAAAeo8ECAADwGA0WAACAx2iwAAAAPEaDBQAA4DEaLAAAAI/RYAEAAHiMBgsAAMBjNFgAAAAeo8ECAADwGA0WAACAx2iwAAAAPEaDBQAA4LH0bLCGDEnP4wIApVRcPN94440JEyZE3bKKodO4FqTxoaWN9MyQ3SuPVyQAOFBxkZwxY8b27dtTMnT6XfP1I/Lw0NIvSj6RnmGN9a3Sjh07Zs2alZGRUVBQsGTJktOnTxuX1EhbeOutt+64447s7OyxY8du3rzZYSDL1e3mG+3cubO8vDwzM1Ps1dKlS8+dO6fN7+/vX7VqVSgUys3NraurEw+d58e6nSH/LScnx3m3HZY3sxv0woULixcvvvrqq/Py8lavXq0vb5eaWINgNz84kbfbiKajo6OwsNBu+26W9yTyKtgd1FVXXZWfn19ZWdne3u6wehz7f+rUqWXLlo0fP37EiBFirS984QviZWy5M9JMMfG5z33OOISYnjhxomVNPXjw4H333SdOmZEjR958880vvfSSNv+DDz4Q+zlhwoRRo0aJ0e+5557XXnst6j6bdybuBczEK7O7uzvxoeOgunVwyHWsYt1V59dSEtCWRZWeAYr1GjFnzhzxBkvU+M7OzjVr1oii6Lz8oUOHRHX57W9/+/777584ceKBBx6Ib3+c93Pu3LktLS1dXV1nzpypqqqaP3++Nn/Tpk1Tpkw5OkBMNDY2Os+PdTtGGzZsWLFihfvdtlzeyG7QBx98UJS60wPuv//+X//619p8u9TEGgQ3B6tLy8g7b0QUibVr17q/ZJuX9yTyKpgbLG3i8uXL//73v7/zne/MmDHDYfVY9/+999679tprxWbD4fBHH30kuupXX331zjvvtNwZaaaYEK3SK6+8oj/18ssviznmBuvw4cOiO/zZz34mrj+id3nzzTe/+MUvak+JsR555BGxQE9Pz9mzZ7dt23bbbbc577PlzsS9QNyrDLoGyznXsaLBSj+DLEDiUvLYY4/lDxAT+rsikWlRYMaNGyfelWoPf/KTn4wZM0a8vXv00UfFhUZf7Mp/v+83DyHKYVZWljRTWlJ0VD//+c/d73Z8DZaRaC+ys7O16enTp4uyrU2LibKyMuf5sW5HJ+JWXFwsLiIud9tueSO7QUePHi26EG1a9FiWNc+YmliD4CY4ltIm8g4bEeWhpKQkEom4vGRbLp9g5D/++OMnnniiqKgoFAqJvkGb6XC+NzQ0iNqWmZk5bdq0trY2bf5rr7120003iZniKa0TMp/s0uF88MEHo0aNEhPf+MY39LZe2Lx5s5jjvP+W4Xr44Ye/+93vWh6j3SrGfWtqajIOIY7upZdeMu/8l7/85R/96EeWQ4jDEQdltwPGQR0ukldsgu988Yx1FfN12zKtdi8DI/GmV7SY4lhycnLuvffejo4ON4fjPKh4AYgNiuVFoOLItejgf/jDH44fPz43N/ehhx66dOlSTFGKekSW8TS/2o0RjrpNu302n57msdxU55kzZ7744ov6Dou3BwUFBW5eroPUIGuwRI4rKiraB8yZM+fJJ5/U5osU3nPPPeL9qP5QLPbeADHx/e9/X58vTUjE62ndunX6Jw06aXnxAhJ7Il4Z4pW6ePHiCxcuOO924g1Wc3Pz7NmztWlxbugnhniHKl7xzvNj3Y5OlChxjrnfbbvljewGFQ2WeKhNi07LvDNSamINgpvgWEqbyDtsZN68eVu2bLHbvsvlE4y8aBdEfN55553333+/pqZGm+lwvi9cuPDYsWPiVbFmzRq9IxGn5O9+9ztxZRcX7qVLl1ruv7GWnDp1qra2VvuAR3QYs2bN2rZtm5jeunWrmO7t7XXef8twiX0QZczyGO1WMV6XxF5NmDDhL3/5i3i4e/duMS3mmC9c4hL07rvvWg5x11133X///Xv37v3oo4/sduOKi4ukQ/DtthnrKubrtmVa7TZrVFpa+vrrr4tDFtV6+fLlX/va19wfjuWgjz/+uIjkvwfccccdceR6/fr1t99++9GjR8VL+qtf/eq3v/3tmKIU9YjcnK1ShKNu026fLU9PaSw31fkPf/jDxIkTxUtae0qcpD/+8Y/tApgGBlmDdd1117399tvatHirId5Ga9MihcePH9cXEw/1xf75z38aF5MmjLRmXLylO3LkiPkp48Nhw4aJF9+ZAZWVlQ8++KDzbifYYB04cKC4uFg/k4cOHapd+gUxIXbGeX6s29GIc+D6668Ph8Mud9theSO7QRctWvSVr3xFC6l4dz58+HBpRCk1sQYhanAspVPk7Taya9euqVOnavf9uLlk2y2fYOQ/85nP6B8e6BzOd9EbadMffvih9hGUUFhY+Mwzz5w8edJh/4f8N/FOXVwitKdOnz4t0lRXVyd+6nf7xfrKES9dY2dj/kTBvIr07HPPPXf33XdfGfhl3y9/+UvzAtookUjEcgcuXrwoSt3nP//5zMxMEcAVK1ZYfkIQ9SLpEHy7Y491FfN12zKtdpu1IyIwbtw494djN+jBgwe1abGi5SE45/qGG27417/+pU2Ll9O1114bdU9iOiKXDZYxwlG3abfPlqenNJbL6nzLLbdob88OHz4sdkDE3HL30sMga7DEJUO/rIgJ8VCbFik03hkqHtotJk1IxGtu9erVM2fOlOZLy4s3tcaPW/Ly8vTFjCeY3ep28y1XF+9ii4qK9u3bZxw9jo8K3G9HI97EL1iwwM1uR13eyG7Q8+fPi75KVDvx1vypp5769Kc/La0opSYJn2ClWeTtNjJ58uQ9e/Y4bN/l8rEGR3q1G09tncP5brmHf/vb3xYuXDh69OgJEybov9ezW1jbn/r6euM9l+Jtt1hA/x2lw/7bES9d86ca+qAjRoyQfsMljkv0cMbFxAIFBQUvvPCC+Kn//kjajsMnWDpxSRSd05IlS8wfyV9xcZF0GXyjWFcxX7elZ503a9Ta2iryKC4g2otK74NjPRzj8nqm7H577pxr0asZW3k9yy73JOoRuWywjBGOuk03+2w3lsvq3Nzc/NnPfravr++BBx4Qb4fMh5BOBlmD5bL3N745ExPmxbRfSFsShVy/V8a4QePDGTNmGG8Y0hssOy4bLDNRO8eOHbt//37jzDhudolpO5obb7xx79697nfbYXn3g2p+8YtfiGbLPN+YGtX3YKVf5O02MsQkvuUTjLxoiWL6BMthD8XV/Pe//73eo0snu7RwZ2en/qHFW2+9Jd5Sb9++/ZprrtE/K431lSMamrq6OmmmPujEiRPffPNN41N//etfx48fLy22bt264cOH6789MddUcYKsXbvWeU80Fy5c+OQnP2meH/UiaRd8h4tnHJ9guXno5hMsMfP5558X79NE5RY/zRGL9bXk5hMs51yLNuLYsWPmtVwGNuoRWe6S86s96jbt9tny9JTGchlhcXqKN2krV64UL3v9zr90NcgaLPF2U/8tr+jEH3/8cW2++SS54447tNsLxIT5l9yf+tSnjL9SWbRokXjY29t78uTJ5cuXR70Ha/PmzfrvsyorK6Pe/hJfg7V+/fqioiL9JNc1NDRY/lmT3fxYt3Nl4J8j3Hrrre4Px3l5N4OKeIqcimLw4osvFhYW6h9T26Um1iA4HKxZWkbeYSPOT7lcPsHIP/XUU7Nnz3733XeNN3m4P9+1CXEyiku8uGqLBkv0tdpM6WQ3rnvu3Lknnnhi2rRpVwZu8hPX/T//+c9i+pVXXrnpppu03/447L9lZI4fPy6G1v+yTBzOq6++qi8p3jyIUf70pz9dHLB79+5Jkyb99Kc/dQ61uRAePnxYdJAbNmwQkenu7t63b5/+V4S33Xbbtm3bxBs/cdaIfa6qqrrrrrsst+l8kbQLvhRPI5f5sgug3UO7zRqJaLz88ssiFOIlJEJhjlisryWxvH4P1p133hlHrp9++mkxonhKvCD/8Y9/fOlLX3LeEymwUY/IcpccXu1utmm3z5anpzSW++yLt51i5q9+9SvjzKgfNwxGg+yQIpFIdXW19ncKYkL/QNJ8kmh/IJObm/vNb37T+OcM2oSofKFQSH/Y1NRUWlo6cuRIUdrF9Ui09sZNWb65F9ejvLw8sX3RATjc5G63uvNnBpbLCF1dXVcG3gGI9j80oLa21vgPhyznx7qdKwMf0TU3N7s/HLvlzewGFT2ruFRlZWXNnTv3wIED+vJ2qYk1CA4HG5DIO2zEuEDcyycYedENfO973xs3bpw4p0TfoM10f75rE6I7F2/BMzMzRXv0+uuvazOlk914RFdfffXdd9/9zjvviPmLFy/WbnjSiH3Q3jg57L9lTK4M/G3Uww8/LF7Pw4cPHz169L333vvGG2/o0fjNb35z8803/88AMfH8889H3eAQq5oqapvYstgrcXbccsst+v/B+uMf/yjmizCKOBQXFz/66KPGC5pxm84XSbvgS/E0cpkvu+O1e2i3WSPxTkOkfsSIEeItzTPPPGOOWKyvJbHA17/+dREcEaIf/OAHYsuWh+CQ68uXL4s9ueGGGzIyMkRXrZ+nLgMb9Ygso2p+tccUJbt9tjw9pbHcZ1+8VidMmPDxxx9bRj6dpOEhAQCcpWU9U+Tvf/+7aFVTvReq9PX1SX9UpNqCBQteeOGFZI6YKpxjABA4NFhR1dTUnDp16vjx47fffvu3vvWtVO+OKq2trfpfC6p2+fLl5557bvLkyfp/akhvnGNQwvzbMR9e0AfFTsYqLQ8KnuNVEdXTTz89bty4MWPGPPLII2n83wQ+8YlPPPvss8kZS7zqxo8fL1q65AyXcpxjAAAAHqPBAgAA8BgNFgAAgMdosAAAADxGgwUAAOAxGiwAAACPBaXBsvzbdQAA4JVUl3p/CUo4SDwAAOpQZyVBCQeJBwBAHeqsJCjhIPEAAKhDnZWkczj43TAAAMlBnZUEJRwkHgAAdaizkqCEg8QDAKAOdVYSlHCQeAAA1KHOSlIQDsubotzcL9Xf379q1apQKJSbm1tXVyceuhyIe7AAAFCKOitJWTjMDVbUVTZt2jRlypSjA8REY2Nj3MMBAAAPUWclg6nBmj59ektLizYtJsrKyuIeDgAAeIg6K/FRg5WXl5eVlTVp0qSNGzf29fWZV8nJyeno6NCmz549GwqF4h4OAAB4iDor8UuDpenu7m5tbS0rK6upqTE/O3To0N7eXm1aTAwbNsy8Tb4jCQCA5KPOSvzVYGlOnDhh+ekUn2ABAOBP1FmJHxus9vb2/Px883zuwQIAwJ+osxK/NFiVlZVtbW09PT3hcLiioqK6utq8ZENDA39FCACAD1FnJan8P1jGW6OamppKS0szMjJKSkrq6+sjkYhxeW2iv79/5cqVoQG1tbVR/w+WNKiHhwAAAIyos5J0Dgc3uQMAkBzUWUlQwkHiAQBQhzorCUo4SDwAAOpQZyVBCQeJBwBAHeqsJJ3DwT1YAAAkB3VWEpRwkHgAANShzkqCEg4SDwCAOtRZSVDCQeIBAFCHOitJ53BwDxYAAMlBnZUEJRwkHgAAdaizkqCEg8QDAKAOdVYSlHCQeAAA1KHOSoISDhIPAIA61FlJCsLhcNd5R0dHYWGhXZJivWmdm9wBAEgO6qwkZeGwzMSyZcvWrl3r0GB5OxwAAPAEdVbiowYrHA6XlJREIhEaLAAABhfqrMRHDda8efO2bNli+ZS+Sl5eXlZW1qRJkzZu3NjX15fIcAAAwCvUWYlfGqxdu3ZNnTq1v7/f/JSku7u7tbW1rKyspqbGvE0Hnh8CAADQUGclfmmwJk+evGfPHsunLJ04cSIUCsU9HAAA8BB1VuKXBivWD5za29vz8/PjHg4AAHiIOivxS4Pl8JT+sLKysq2traenJxwOV1RUVFdXezIcAABIEHVWksr/g2X3SZVdg9XU1FRaWpqRkVFSUlJfXx+JRBIcCAAAeII6KwlKOEg8AADqUGclQQkHiQcAQB3qrCQo4SDxAACoQ52VBCUcJB4AAHWos5J0Dgc3uQMAkBzUWUlQwkHiAQBQhzorCUo4SDwAAOpQZyVBCQeJBwBAHeqsJJ3DwT1YAAAkB3VWEpRwkHgAANShzkqCEg4SDwCAOtRZSVDCQeIBAFCHOitJ5Zc9m5/q6OgoLCy0S1J/f/+qVatCoVBubm5dXZ146HIg7sECAEAp6qwkZeGwzMSyZcvWrl1rl6RNmzZNmTLl6AAx0djYmOBwAADAE9RZiY8arHA4XFJSEolE7JI0ffr0lpYWbVpMlJWVJTIcAADwCnVW4qMGa968eVu2bLF8SpOTk9PR0aFNnz17NhQKJTIcAADwCnVW4pcGa9euXVOnTtVuq7JL0tChQ3t7e7VpMTFs2DDzNh0oOAgAAPB/qLMSvzRYkydP3rNnj+VTOj7BAgDAn6izEr80WG4+cOIeLAAA/Ik6K/FLg+XwlP6woaGBvyIEAMCHqLOSVP4fLLtPquwarP7+/pUrV4YG1NbWRv0/WA7bBAAAHqLOStI5HNzkDgBAclBnJUEJB4kHAEAd6qwkKOEg8QAAqEOdlQQlHCQeAAB1qLOSdA4H92ABAJAc1FlJUMJB4gEAUIc6KwlKOEg8AADqUGclQQkHiQcAQB3qrCSdw8E9WAAAJAd1VhKUcJB4AADUoc5KghIOEg8AgDrUWUlQwkHiAQBQhzorCUo4SDwAAOpQZyUpCIflXec7duyYNWtWRkZGQUHBkiVLTp8+7bCiy5vWuckdAIDkoM5KUhYOKRNz5szZvn37hQsXOjs716xZU15eHnWVRIYDAAAeos5K/NJgGXV1dWVlZcW0SiLDAQCABFFnJb5rsC5durRu3br58+dbrpKXlyd6r0mTJm3cuLGvry/x4QAAQOKosxJ/NVjazVJjxow5cuSI3Yrd3d2tra1lZWU1NTWWq9vx+AAAAMD/o85K/NVgCRcvXly9evXMmTOdVz9x4kQoFEp8OAAAkDjqrMR3DdaVgR4rOzvbefX29vb8/HxPhgMAAAmizkr80mAtWrQoHA739vaePHly+fLlxnuw9CUrKyvb2tp6enrEkhUVFdXV1XEPBwAAPESdlaTy/2AZb41qamoqLS0dOXJkYWFhVVXV+fPnjcsbl8nIyCgpKamvr49EInEMBAAAPEedlQQlHCQeAAB1qLOS+MMRiUQef/zxkpKSzMxM8fPJJ5/s7u72cM+8ReIBAFCHOiuJPxzV1dXl5eVtbW2i0xI/58yZ89hjj3m4Z94i8QAAqEOdlcQfjvz8/Pb2dv1hrH/Wl2QkHgAAdaizknRusLjJHQCA5KDOShL6FWFFRcXbb78diUTETzHNrwgBAAgm6qwkoZvc6+vrr7vuuszMTPHziSee4CZ3AACCiTorCUo4SDwAAOpQZyXpHA7uwQIAIDmos5L4w9HW1lZWVjZq1KhB0cT4ed8AABjsqLOS+MMxbdq0NWvWfPjhhx7ujTokHgAAdaizkvjDkZmZeenSJQ93RSkSDwCAOtRZSfzhuPbaa48dOxbPkFa/T9yxY8esWbMyMjIKCgqWLFly+vRp84r9/f2rVq0KhUK5ubl1dXXiocuBfP7rSwAABjvqrCT+cDz77LMLFy48depUnAP/dybmzJmzffv2CxcudHZ2rlmzpry83LzKpk2bpkyZcnSAmGhsbIx7OAAA4CHqrCS2cAyJJqZN2T3V1dWVlZVlnj99+vSWlhZtWkyUlZV5MhwAAEgQdVaSsnDYZeLSpUvr1q2bP3+++amcnJyOjg5t+uzZs6FQKPHhAABA4qizkvjDcdVVVyU0sFUmtI/BxowZc+TIEfOzQ4cO7e3t1abFxLBhwyxXT/zTNQAAEBPqrCT+cFxzzTX/+c9/4h/YJhMXL15cvXr1zJkzzU/xCRYAAP5EnZXEH44NGzbcd999x48fj/rXfNYD22dC9FjZ2dnm+dyDBQCAP1FnJfGHw9ub3BctWhQOh3t7e0+ePLl8+XLjPVj6kg0NDfwVIQAAPkSdlaQgHJY9WVNTU2lp6ciRIwsLC6uqqs6fP29cXpvo7+9fuXJlaEBtbW1Mn5yReAAA1KHOStI5HNzkDgBAclBnJUEJB4kHAEAd6qwkKOEg8QAAqEOdlQQlHCQeAAB1qLOSdA4H92ABAJAc1FlJUMJB4gEAUIc6KwlKOEg8AADqUGclQQkHiQcAQB3qrCSdw8E9WAAAJAd1VhKUcJB4AADUoc5KghIOEg8AgDrUWUlQwkHiAQBQhzorCUo4SDwAAOpQZyUpCIflXec7d+4sLy/PzMwsKChYunTpuXPnHFZ0edM6N7kDAJAc1FlJysIhZWLu3LktLS1dXV1nzpypqqqaP39+1FUSGQ4AAHiIOivxS4Nl1NnZmZ2dHdMqiQwHAAASRJ2V+LHBam5unj17tuUqeXl5WVlZkyZN2rhxY19fnyfDAQCABFFnJb5rsA4cOFBcXHzo0CG7Fbu7u1tbW8vKympqaszbdODl3gMAAAPqrMRfDdbu3buLior27dsXdfUTJ06EQqEEhwMAAJ6gzkp81GBt3bp17Nix+/fvd7N6e3t7fn5+IsMBAACvUGclfmmw1q9fX1RUdPDgQYclKysr29raenp6wuFwRUVFdXV13MMBAAAPUWclqfw/WMZbo8y3THV1delPaRNNTU2lpaUZGRklJSX19fWRSCSOgQAAgOeos5KghIPEAwCgDnVWEpRwkHgAANShzkqCEg4SDwCAOtRZSVDCQeIBAFCHOitJ53BwkzsAAMlBnZUEJRwkHgAAdaizkqCEg8QDAKAOdVYSlHCQeAAA1KHOStI5HNyDBQBAclBnJUEJB4kHAEAd6qwkKOEg8QAAqEOdlQQlHCQeAAB1qLOSdA4H92ABAJAc1FlJCsJh2fHs3LmzvLw8MzOzoKBg6dKl586dM6/Y39+/atWqUCiUm5tbV1cnHsY0aKL7DQAAbFBnJSkLh5SJuXPntrS0dHV1nTlzpqqqav78+eZVNm3aNGXKlKMDxERjY2PcwwEAAA9RZyV+abCMOjs7s7OzzfOnT58umjBtWkyUlZV5MhwAAEgQdVbixwarubl59uzZ5vk5OTkdHR3a9NmzZ0OhkCfDAQCABFFnJb5rsA4cOFBcXHzo0CHzU0OHDu3t7dWmxcSwYcPM23Tg7f4DAAAddVbirwZr9+7dRUVF+/bts1yFT7AAAPAn6qzERw3W1q1bx44du3//frtVuAcLAAB/os5K/NJgrV+/vqio6ODBgw5LNjQ08FeEAAD4EHVWksr/g2W8Ncp8y1RXV5f+lDbR39+/cuXK0IDa2tqo/weLe7AAAEgO6qwkKOEg8QAAqEOdlQQlHCQeAAB1qLOSoISDxAMAoA51VpLO4eAeLAAAkoM6KwlKOEg8AADqUGclQQkHiQcAQB3qrCQo4SDxAACoQ52VpHM4uAcLAIDkoM5KghIOEg8AgDrUWUlQwkHiAQBQhzorCUo4SDwAAOpQZyVBCQeJBwBAHeqsJJVf9uxyvnkBlzetc5M7AADJQZ2VpCwcdplwbrA8Hw4AACSOOiuhwQIAAImizkoGWYOVl5eXlZU1adKkjRs39vX1JT4cAABIHHVWMpgaLE13d3dra2tZWVlNTY15XQfe7DcAADChzkoGX4OlOXHiRCgUSnw4AACQOOqsZLA2WO3t7fn5+YkPBwAAEkedlQyCBkufU1lZ2dbW1tPTEw6HKyoqqqurEx8OAAAkjjorSeX/wZJujXKYr000NTWVlpZmZGSUlJTU19dHIpH4BgIAAN6izkqCEg4SDwCAOtRZSVDCQeIBAFCHOisJSjhIPAAA6lBnJUEJB4kHAEAd6qwkncPBTe4AACQHdVYSlHCQeAAA1KHOSoISDhIPAIA61FlJUMJB4gEAUIc6K0nncHAPFgAAyUGdlQQlHCQeAAB1qLOSoISDxAMAoA51VhKUcJB4AADUoc5K0jkc3IMFAEByUGclQQkHiQcAQB3qrCQo4SDxAACoQ52VBCUcJB4AAHWos5KghGMIAABQKdWl3l8CFI4k5D45Ly8OxFdDJGeUtDmQ5IzCgfhtlLQ5kOSMkjYHEnABii9nha+GSM4oHEgwR+FA/DZK2hxIckZJmwMJuADFl7PCV0MkZxQOJJijcCB+GyVtDiQ5o6TNgQRcgOLLWeGrIZIzCgcSzFE4EL+NkjYHkpxR0uZAAo74Dj6cFX5DRvyGjPgNGfEhkqIa8R18OCv8hoz4DRnxGzLiQyRFNeI7+HBW+A0Z8Rsy4jdkxIdIimrEd/DhrPAbMuI3ZMRvyIgPkRTViO/gw1nhN2TEb8iI35ARHyIpqhFfAAAAj9FgAQAAeIwGCwAAwGM0WAAAAB6jwQIAAPAYDRYAAIDHaLAAAAA8RoOVekP+n3Fmf3//qlWrQqFQbm5uXV2deGhe0W4ZN+vCgWVGHObryIgilpHfuXNneXl5ZmZmQUHB0qVLz507Z16RjChimZEdO3bMmjUrIyNDZGTJkiWnT582r0hG1HG4QHV0dBQWFtpdu0iKIjRYfiG99Ddt2jRlypSjA8REY2OjeRW7Zdysi6jsLkYODRYZUUqK/Ny5c1taWrq6us6cOVNVVTV//nzzKmREKSkjc+bM2b59+4ULFzo7O9esWSPaX/MqZEQ1ywvUsmXL1q5da3ftIimK0GD5hfTSnz59uige2rSYKCsrMy9pt4zDunDPfYNFRpLDobUVFT07O9u8JBlRyiEjovHNysoyL0lGVDMnJRwOl5SURCIR6SmSohoNll9IL/2cnJyOjg5t+uzZs6FQyLyk3TIO68K9OBosMqKUQzlvbm6ePXu2eUkyopRdRi5durRu3TrjZ4pkJGnMSZk3b96WLVvMT5EU1Wiw/EJ66Q8dOrS3t1ebFhPDhg0zr2K3jJt1EVUcvyIkI0rZRf7AgQPFxcWHDh0yP0VGlLLMiHYb0JgxY44cOWJ+loyoJiVl165dU6dO1W6fsjuDSIoiNFh+4f4TrKjL8LbDE3E0WGREKcvI7969u6ioaN++fZarkBGl7M6Fixcvrl69eubMmeanyIhqUlImT568Z88ey6d0JEURGiy/cH8PVtRl+MW5J+JosMiIUubIb926dezYsfv377dbhYwo5XAuiB7LeFecjoyoZv49oMS8CklRhAbLL6TXfUNDg92fb+hL2i3jsC7ci+MeLDKilBT59evXFxUVHTx40GFJMqKUlJFFixaFw+He3t6TJ08uX77c8h4sMqKaQ9drdw8WSVGEBiv1LN9e9Pf3r1y5MjSgtrbW+A9Ioi7jsC7csHvD5zBfmyAjilhG3vzWvKurS39KmyAjilhmpKmpqbS0dOTIkYWFhVVVVefPnzcur02QEXWiflJl12CRFEVosAAAADxGgwUAAOAxGiwAAACP0WABAAB4jAYrxey+sDbWb99088W3DqtLd0fm5OTY7bDlHZTuVwcAIAhosFLM7gtrY/32TTdffOuwutGGDRtWrFjhvNuWf6LifnUAANIbDZaPGL+wNpH//CZ98a1R1NV7enqKi4vfe+895121a7Bcrg4AQHqjwfIR4xfWJvLdBdIX3xpFXb2xsfGhhx6Kuqt2DZbL1QEASG80WH4hfWFt3N++6fDFt1FXv3z58vXXXx8Oh6PurWWD5X51AADSGw2WL5i/sDa+T7DM25HuSXdefevWrQsWLDDOsfunwJYNlnl1AACCiQYr9Sy/sDaOe7CifvGt8+rCjTfeuHfvXjf7bNlguV8dAID0RoOVYnZfWBvrt286fPGtm80KO3bsuPXWW13utrnBiml1AADSGw1Witl9YW2s377p8MW3Rg5f3jljxozm5uZYdzjW1QEACAIaLAAAAI/RYAEAAHiMBgsAAMBjNFgAAAAeo8ECAADwGA0WAACAx2iwAAAAPEaDBQAA4DEaLAAAAI/RYAEAAHiMBgsAAMBjNFgAAAAeo8ECAADwGA0WAACAx2iwAAAAPEaDBQAA4DEaLAAAAI/RYAEAAHiMBgsAAMBjNFgAAAAeo8ECAADwGA0WAACAx2iwAAAAPEaDBQAA4DEaLAAAAI/RYAEAAHjsfwHM701JD3+CkQAAAABJRU5ErkJggg==)
| VMR Tools created by Darren De Zeeuw. |