Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit276-05-20020412_005000_20020412_053400-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/04/12 |
Start Time | | 2002/04/12 00:50 |
End Time | | 2002/04/12 05:32 |
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 | | 0.25 |
Dipole Tilt, in Y-Z GSE plane, deg | | -27.39 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 213.00000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit276-05-20020412_005000_20020412_053400-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 GOES-10 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUARnJpIEphbiAxOSAxOTo1NDoxMSBFU1QgMjAxOGVlupcAAAHNdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQyNzYtMDUtMjAwMjA0MTJfMDA1MDAwXzIwMDIwNDEyXzA1MzQwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIEdPRVMtMTAgdHJhamVjdG9yeS4iLCAKICAgICJ4YXhpcyI6IHsgImxhYmVsIjoiIiwgIm1pbiI6IjIwMDItMDQtMTJUMDA6NTA6MDAuMDAwWiIsICJtYXgiOiIyMDAyLTA0LTEyVDA1OjMyOjAwLjAwMFoiLCAibGVmdCI6NzgsICJyaWdodCI6NzIyLCAidHlwZSI6ImxpbiIsICJ1bml0cyI6IlVUQyIgfSwKICAgICJ5YXhpcyI6IHsgImxhYmVsIjoicmhvIiwgIm1pbiI6MS4wNzg5NDQ5OTk1LCAibWF4IjoxMy45NDc5NTUwMDA1LCAidG9wIjo1MiwgImJvdHRvbSI6MjQ4LCAidHlwZSI6ImxpbiIsICJ1bml0cyI6IiIgfQogIH0KIF19fkwFvAAAAARnQU1BAACvyDcFiukAADegSURBVHic7d1/fBT1nT/wkF8s5ocLRAgYQvhVAhe41As+wiVqjFGDUExtrkaJGoGWqLFNFTRKgGAt5rzgRR9YsUKNfcQSbR6aqwFzXs69u7RSbi3hmmqK0QaNXsSlRlnbtazC9335fG9uurszO7uZ3Zmd9+v5Rx6zk/nx+Xzes/N5z4+diTsHAAAAALqKM7oAAAAAAFaDBAsAAABAZ0iwAAAAAHSGBAsAAABAZ0iwAAAAAHSGBAsAAABAZ0iwAAAAAHSGBAsAAABAZ0iwAAAAAHSGBAsAAABAZ0iwAAAAAHSGBAsAAABAZ0iwAAAAAHSGBAsAAABAZ0iwAAAAAHSGBAsAAABAZ0iwAAAAAHSGBAsAAABAZ0iwAAAAAHSGBAsAAABAZ0iwAAAAAHSGBAsAAABAZ0iwAAAAAHSGBAsAAABAZ0iwAAAAAHSGBAsAAABAZ0iwAAAAAHSGBAsAAABAZ0iwAAAAAHSGBAsAAABAZ9ZMsOLirFkvAICIisTO87XXXlu0aFHQJUdi1egLwEDW3PiUvlT4sgEAqIjETrK4uPiFF14wZNXY5+sIjRkqa7ZXqIdKL7/8cmlpqc1mmzVr1oYNG06dOiVNJpeeni7NcuzYsauuuiolJWX27Nn79+8PuJazZ8/ec889drt96tSpDQ0N9DHgYpUKqVQqpcUqjQ91OYLL5ZozZ45P8QKWWWn5IbVJqG0V6nLUK8u55ZVa+ODBg5deeunkyZNp4bfccsuHH36oXkhdWj4SlFpy0qRJM2fOrKqqGhkZUZk9jPKPjo7efvvtOTk5SUlJNFd5eTk1ZsDC+IykgaVLl8pXQcNLliyRTyD9a3Bw8Lrrrps2bVpycnJBQcHPfvYzMf6TTz6hci5atGjKlCm09muvvba3tzdomf0LE/YE/mjP+fnnn0981WGIdE6gEmsyMDCwatWq1HE08Jvf/EZesIBfvZDCF3C3oGWLjWaqxDkts2bNQ91HXHnllYcOHXK73SdPnty0adPq1av9Z3nkkUc2b94sho8fP069S3t7+8cff/zuu+/ecMMNAdeyd+/eiy666PfjaOCpp57SWDz1UiktVml8qMsRaK+xa9cu9f5AffkhtUmobRXqctQr64NVyyu18OWXX/7CCy+MjY2dPn16586dlMmpF1KXlo8E/wRLDHz55ZcffPDB3XffXVxcrDJ7qOV///33586dS4t98803//SnP1HW+9JLL1199dUBC+MzkgYoVfr5z38u/evFF1+kMf4J1ltvvUXZYUtLC+1/KHf51a9+9Y1vfEP8i9b1rW99iyb485///NFHHz333HOXXXaZepkDFibsCcKeJeYSLPVYDw0NXXDBBbt37x4dRz0IfaSR6gULI3w+i9KyxSLBio4YqzntSr773e/OHEcD0lERhZA236ysLDoqFR///u//fsaMGXR4d8cdd9CWKk127i8PHfxXQd1JSkqKz0hawrx58+jrJD5SRrVnz56gpV25ciX1f2KYBoqKiuTFCIm8VEqLVRof6nII7S8WLFjg8Xi0dPNKyw8o1MIrrSvU5WhpnKA1smTLa9kaKYc777zz1As5wZb3er3btm3Lzs6mI2/KG8RIle/7E088QX2bzWYrLCwcGBgQ4+lY/6tf/SqNpH+JfsX/y+5T308++WTKlCk0UFtb++Mf/1gav3//fhqjXv6ATbd+/fr77rsvcDtqSLCef/55+Sqodj/72c/8C3/jjTc++OCDAVdB1aFKKRVAvlKVneQ5hcZX33mGOov/fjtgWJU2Azk66KUUk+qSnp7+9a9/3eVyaamO+kppA6AF0vTUUGHEet26dTt27JCP2b59e3V1tU/BfGgMn5zPooJ+4wJ+KeSBCNqYdHDy/e9/PycnZ+rUqbfeeutnn30mxvt/i/3XpaUTv+SSSw4cOCAVmI4iZs2aFWqzmEGMJVgUvLKyspFxdIRN26sYT7G59tpr6XhU+kiTvT+OBpqamqTxPgP+urq6SkpKfEbSzpo2I+kjbRlUEgo5bYI333wzHeUHXBRtndKmSccitM1Ja8/IyKAeKy8v79FHH/3iiy+CVlxeKqXFKo0PdTnkmmuuefbZZ88F6w/Ulx9QqIVXaqtQl6OlcYLWyJItH3RrpL3nQw89JD89FrCQE2x5Sheo/G+//fbHH39cX18vRqp83ysqKoaHh6lsO3fulLoQ+kp2dnbSLpv2yBs2bJAmlq9I3kmMjo7ee++94gwBZRiXXnrpc889R8MdHR00fObMGfXyBwwHlYH6p4B1VJpFvl+iUi1atOiXv/wlfXQ4HDRMY/x3XLQLeueddwKuYtWqVd/85jd/8Ytf/OlPf1IqxjkNO0mVxldaZqiz+O+3A4ZVabFyy5cvf/XVV6nK1A3X1dVt3LhRe3UCrrSxsZFa8oNxV111VRixphjR9iwfQx8zMzPV20Rj+OR8FqXlG+f/pZAHImhj7t69+4orrvj9739P31ZKGe+66y4xPuC32GddWjrxnp6eJUuW0JYv/kXf5ebmZo2tYSoxlmDNnz//jTfeEMN0qEGH0WKYYnPixAlpMvooTfbb3/5WPpnPgI+jR4/OmzfP5ztDYf7KV75CR+3SmISEBNqqTo6rqqqqqakJuLT4+HixjyY0QHPJ/0vdgNPppO+ztCEq8SmV0mLVV6d9Oa+88srFF18srtyH1M0HbD0f4RXev61CXU7QxtFSI0u2vKC0NYpDzxkzZkiXNpQKOcGWX7hwoXTyQKLyfafcSAz/8Y9/FKegyJw5cx577LH33nvPpwr+NZLQITjtIsS/PvzwQ2rGhoYG+ivdcxbqlpOYmCjvGv1PFfjP4vPfJ598cu3atefGrxb96Ec/8p9ArMXj8QQswKeffkp92F//9V/bbDZqwM2bNwc89A+6k1RpfKW6hzqL/347YFiVFquEWiArK0t7dZRWOjg4KIZpxoBVUI81bSo+MaKJaRafiX3m0hg+OZ+yadli/b8U8kDIBWzM3Nzc3/3ud2KYvilz584VwwG/xT7r0tiJr1ixQhzFvfXWW1QACk3A4plcjCVYtM1JmywN0EcxTLGR38pHH5Um8xmQo+PF7OzsI0eO+Iynw9mvfe1r8jF0iEBHBmKYcqyMjAxpsfKvipYjCTrUlp9LkM+uVKrwThVoX86yZcv6+vqkIvmXOaTW8zGR8xzytorCGSwmLS8nb2EJ7WF37NhxySWXqBcyjHOT8q1d/tWWqHzf5ZNJH3/9619XVFRMnz590aJF0lUSpYlFebZu3Sq/vYyOp2kC6RqlSvmVZGZm+me60kqTkpJ8rnBRvahHlE9GE8yaNeunP/0p/ZWusvksR+UMloR2iZQ53XLLLQFvzgu6k9TY+HKhzuK/3/b5r/pi5ejwgOJI6bLYqKSsItTqyKeXIqV0yV491nRYEsYZLIl/+AJ2EP6LCu8MljwQQRuT0lB5aihtwAG/xT7r0tiJd3V1LV68+IsvvrjhhhvoqMm/CjEhxhIsjUdI8oMzGvCfTFxplqMsavbs2a+//rr/SvPz83/xi1/IxxQXF1NeJYYpf5cSLB9a7j4ZGRmhfWXA2ZVKFcbNLiEtR+nQSuI/RqX1fEzkTh15W0X6Hiw+LS+ntDVSjiXd4KVUyAm2PKVEIZ3Bkk/m85F2093d3VJP5vNl95n49OnT0kmLY8eO0bHyCy+8cOGFF0pn7ELdcqhHbGho8BkprXTJkiW/+tWv5P86fPhwTk6Oz2QPPfRQYmKidFnEP8G68cYbd+3apV4SYWxsLC0tzX980J2kUuP77zwlYZzB0vJRyxksGvnMM8/84Q9/oC6Z/vq3WKjbkpYzWOqxpszA/x6sdevWBVyvEqXwBVyjoGWLVf9SBG1MSn2Gh4f9FxvwW+yzLo2BoG8xHctt2bKFvh3SDYIxJ8YSLDrclC7fUord2Ngoxvt/Sa666ipxewEN+N8KcMEFF8gv+e3evTs7O1v6OskdPHjwb//2b31G7t+/n74n0iVC+e1Zck888UTAX3PQLLRh0UZDZaDq3HnnnQFnVyqV0mKVxoe6HLmAewGfkSqt5y/Uwiu1VajL0VLZoDWyZMsrtfBNN91EY86cOfPee+/V1dUpnQUJu3F8/OAHPygpKXnnnXfkd29o/75LdaF9N9WFEizKO8VIny+7fN5Tp05t27atsLDw3PitZrRD//d//3ca/vnPf/7Vr35VXP1RKX/AGJ04cYJWLf2yjKrz0ksvSVM+/vjjtJZ/+7d/+3Scw+HIy8t7+OGHVRZ4LlCC9dZbb1EG+cgjj1DLfP7550eOHJF+RXjZZZc999xzdOBHsaMyb9q0adWqVQGXqb6TVGp8n/aU0xgvpQZU+qi0WDlqjRdffJGagjYhagr/Fgt1W6LppXuwrr766jBi/bvf/Y6OvSlG0q8I6aN0xkupTTSGT6XdtHzjVL4U5zQ0ZmtrKzUmLYG+a7/5zW+uv/56MT7gt9hnXdo3Ejp6pJH79u1TqazJxVJZz42fUaQOQPwAgQakM43+XxLxA5mpU6fedttt8t8piAHqmex2u3y78eF2u8W/iouLu7q6/EtC+yP6ttDyqR9SusmdcnBKwO3j7r33Xun85/PPP798+fLJkydT8k5bm9K9FEqlUlqs0vhQl+NTBpUiBW097W0SaluFuhwtleXZ8kotLMYnJyfPmTOH9vJ0IKteyAm2PHUn999/f1ZWFn2nqCsSI7V/38XAgQMH6NjaZrNRevTqq6+KkSpf9mnTpq1du1Zcx7n55pvFDU8ClUEcOKmUP05hX//uu++uX7+eut7ExMTp06d//etff+2116TWePrppwsKCs4fRwPPPPNM0AXG+fVw58Z/y0lLplJRjFasWCE9B+tf//VfaTw1I7XDvHnz7rjjDqXYqe8klRrfpz3lNMZLqb5KH5UWK0dHwhT6pKQkOuR47LHH/Fss1G2JJvj2t79NjUNN9MADD9CSA1ZBJdbkv/7rv8rLy1PGUZZ27Ngx+YoCfqk1hi/gQsRILd84/y9FSI355Zdf0vjc3Fzab9ABg9RFBvwW+6xL+0ZCm/SiRYu8Xq9PlZVaw4RiqawAAKCL2OqojEV5EuU6RpfCYF988YV0h350fO1rX/vpT38azTXqDt8xAAB2kGAFVV9fPzo6euLEiSuuuOJ73/ue0cUxmNPplH4tGGlffvnlk08+uWzZMulJDTEK3zGICP8T4CbcocdEIUNlyUqB7rBVBNXa2pqVlTVjxoxvfetbMfqYAB2lpqb+8Ic/jM66aOPMycmhlC46q4scfMcAAAAAdIYECwAAAEBnSLAAAAAAdIYECwAAAEBnSLAAAAAAdIYECwAAAEBnXBKsgL9dBwAAgCgzOiOIEjb1ZBNRAAAA0+LTHbOpJ5uIAgAAmBaf7phNPdlEFAAAwLT4dMds6skmogAAAKbFpztmU082EQUAADAtPt0xm3qyiSgAAIBp8emO2dSTTUQBAABMi093zKaebCIaW7xe7zPPPHPfffd5PB6jywIAABHHpztmU082EY0tbW1t4rlzRUVFlGwZXRwAAIgsPt0xm3qyiWhsWblypfRs34aGBqOLAwAAkcWnO2ZTTzYRjSGUUVFcUlNTt2zZkpiYSMP79u0zulAAABBBfLpjNvVkE9GocbvdF1100fTp03/5y1+GMTvlUhQUyqscDof/RwAAsCQ+3TGberKJaNT09PSIS3tZWVkulyukeXt7e8Upq7a2NmmkOKFlt9sHBwf1LiwAAJgCn+6YTT3ZRDRqmpubpduncnNzR0dHNc5I+VNqairN1djYKB/v9XorKirE0kLN2AAAICbw6Y6tXM+4v2R0cSylv7/fZrOJu6by8vJoIDMzU8uZJ8rDcnJyaPqqqir//7rd7vz8fPpvSUkJflQIAGA9fLpjNvVkE9Eo8Hg8Iqmqq6s7N54VFRcX08eMjIy+vj6VGWnKwsJCmpKmV3rwFWVglKvRNDU1NREpPQAAGIdPd8ymnmwiGgX19fXiQh4lTGIMZUuVlZXiJ4Hd3d1KM4ppFi5cqH490el0imuIzc3NOhcdAAAMxac7ZlNPNhGNNHFve2JiYn9/v3y81+utra0V/2pvb/efMaR72Lu6usSFXRrQregAAGA0Pt0xm3qyiWhEuVyurKwslXNLjY2NIjFqbW2Vjw/jKQziJvrU1FSn0znBYgMAgEnw6Y7Z1JNNRCNK/MpP/Q50Sq3EIxjq6+vFmIAPZdCipqaG5poxY8aBAwdwzzsAgAXw6Y7Z1JNNRCNHnIWy2+3Dw8PqU3Z2doqMqrq6emBgIOBDGbSgpIqSOXFKbN26dWGWGwAATINPd8ymnmwiGiFDQ0MiT+ro6NAyvcPhENPHx8crPZRBC5fLlZCQQEtIT08PmtgBAIDJ8emO2dSTTUQjwev1iscrhJQnOZ1OcR4rOTlZ6aEMWlBKl5GRIR61hRfpAADEND7dMZt6soloJIhb13NycsbGxkKa8brrrqMZS0tLJ1gAt9tdXl4ubpPHC6EBAGIXn+6YTT3ZRFR3hw8fThwX3tmjgYEBXYrh9XrFgx5IbW0t7nkHAIhFfLpjE9Uz4DttXn755dLSUpvNNmvWrA0bNpw6dSrshetRRnbcbrd4sw0lN0aX5X+0t7eLV/SUlJTgfYUAADGHT3dsunr6NP2VV1556NAh6uZPnjy5adOm1atX67JY0Eg8KCE/P988Z4ycTqd4lw5lfnqdHgMAgOjg0x2brp4qTX/69OmUlBTdFwtKOjs7xaM+tTx7PZpGR0fFTfdUNjzqHQAghvDpjk1XT5Wmp660pKRE98VCQP/0T/8kfgO4Z88eo8sSgMfjEWfXSFNTU6h33wMAgCH4dMemq6dS0x89enTevHnHjx9Xn1dFZMprTb29veJWJ6L+YmZjtbS0iCwwISEhJydnIg+DAACAKODTHZuungGb3uFwZGdnHzlyRN/Fgj/5j/Xi4+OLioqMLlEQPT09kydPFgVOS0urqKhobW31eRE1AACYBJ/u2HT19G/6jo6O2bNnv/766/ouFvwNDw8XFBSIx001NzfHynW33t7euXPnTp8+XX7C0m63y5MtqgvuiAcAMByf7th09fRp+t27d2dnZwe8yTqkIPGJaNgokRUvt8nJyTl8+LDRxQnH6Ogo1aK2tjY3N1eebJ1//vlJSUk08OijjxpdRrN49dVXi4uLDxw4YHRBAIAXPt2xieoZ8JYp/1up3G639K+QFq5/ia2CmlS6YbyqqipWTlypC5hsXXDBBXihoTBjxgwp4n19fUYXBwC44NMds6knm4ieG78c9p3vfOfhhx/Wcn96f3//woUL48YfeWDVt9BQO9x2223Tpk2LwwsN/1daWpr8uCUvL2/v3r3S0QsAQITw6Y7Z1JNNRMlf/dVfyW9FKiwsrK2tbW1t7enpkVIul8tFeQaNFL/Cy8/PN9vDrnSHFxpKKNbUDhkZGSMjI42NjeLBrWJrqaurs/yWAAAG4tMds6knm4i2t7dL2dXUqVP9r7FSJ3rxxRdLT2Eg9fX1TB5wgBcaCi0tLdQCNTU14iO1Q0dHR3FxsbRJlJWVdXZ2sm0fAIgcPt0xm3ryiKjL5crIyKDK1tXVOZ3Oc/97pmrPnj00pqSkRPxXQmlWd3e30aWONrzQkCpO1aekymf8wMAA5Z3itw5k2rRp119/Pc8mAoAIYdIdn0OCZTGVlZVU0/LycpVpRMp1xx13lJaWHj16NGplMxXOLzR0u92J45R+zUDjKSO/8MILRZqVkpLS0tLC5BwnAEQak+74HBIsK+nu7hb3quOHclqwfaGheMVkcXGx+mRic5JQJtrW1hadEgKAhXHojgU29bR6RMfGxrKysuLM+upAc/J5oSGTa2EbN26k+jY3Nwed0uFwHD58uKenJz8/X7QSDfT29kahkABgVZbvjiVs6mn1iNbW1lIdCwsLcWNyqKQXGpLLL7/c6OJEnEjEQ7owShtVW1ubmFHcAo+XEQFAeCzfHUvY1NPSEXU4HOKOdfzAPjw9PT0ix4qPjz9x4oTRxYkgp9NJ1aRUKYx5PR5Pc3Oz3W4XaVZNTc3w8LA1HksLAFFj7e5Yjk094+Ks2hNQtyeeFNrU1GR0WWJYR0fHeeedR82Ym5ur5QGtMerBBx+kOm7cuDHsJdD3qL6+XvwMMyEhgf7eddddOpYQAKwNCZYV+Dz/KTk5OUZfsadu8+bN4uYYXBycIMqrxHt1srKyrHouUDzsauI39Q8NDVVXV0tfrpKSkn379uFB8AAQFBIsq7FqT+B0OsVP7i2ZO0bf2NiYSEEyMzOt16RUO9pUbDabXtv/Aw88cOGFF9Khi/RYtaqqqu7ubuT6AKAECZbVUESXLVsmPb7cGj0BFV78vGvz5s1Gl8U6KPlYs2aNeHyDxd5aKJ7yX1ZWpu9iqcXa2tposdJhTEZGRn19vXjULQCAHBIsqxERVe8JTPL4qIGBAY0/0RL30+Tk5OAhkPqizJXy77jxtxZ2dnYaXRzdiIt6LS0tEVr+yMhIc3NzXl6e9P1atGjR6tWr/R8ZDwBsIcGyGp+I+vcEU6ZMob/bt283qoTC4cOHRXkef/xx9SkHBwfFCTmLnWUxD8q8RY5lmUeLiRclReH2MjpCoNaT3iFN2tvbI71SAIgJSLCsRimiPj3B9OnTjb1o+PTTT0t9EpWqurq6ra0t4I/axFPIJ/JzMAiKsnARiwcffNDoskyUyN0XLlwYtTXSV+mOO+6Qtue6ujrL3PsIAGFDgmU16hGlnuDuu+8WJ4QqKyujVioflEgtXryYymC326U3wQl5eXmbN2/u6ekRVwP/4R/+QfzYzarPnjCPvXv3ikdkUSJudFkmpKmpSWQ5UV5vb2/vtm3bxJcrJycnpk+41tbWzps376WXXjK6IAAxDAmW1WiJqNPpTE1NNaorlZ4RID2HaXBwsLW1tby8XJRKuj1/9uzZYpjVG/QM1NnZKXKsVatW/fa3vzW6OGEqKCigKlCObsjaaWMW51xj8VRWf39/Y2OjeNocSUpKwtuvAcKGBMtqNEa0r69PdKVRviTkn13J0a6cjvsbGhpEHymkpaVFs4TM0YYhHkNKYvEEBm1UIjs3MC3wer2Ul8TQqSyfvIpMnjw5Pj5eDOPt1wDhQYJlNdojKp2uiNqtzerZlQ+Xy1VXV5eXl/fiiy9Gp3ggPPbYY6JnnTFjRsy9iY9SASp5eXm50QUx9aksKgwloP55VUZGxsaNG3t7e73j8PZrgIlAgmU1IUV07969cdH6iX5I2RUYiHrWHTt2iOuztG20trYaXaIQiKdO0IZtdEH+hyGnssRpYP+fsNCXbmBggP51//33U1jFy3/88yr/KuDt1wDhQYJlNaFGVPx8jHa4Ed37I7uKOdRPi8c3iBNCLpfL6BIFR9mAeEOzSZ70JshPZS1evPjgwYORWxe1wIoVK2hF8+fPr6mpoXwoPz9fSo98pKenK+VVPgK+/Rr3ZgGoQ4JlAGkHJx959uzZe+65h3ZhU6dObWhooI9hLzzUWUQ/mpqaGqFXpiC7il3d3d3imVKZmZnmv0JEBwliMzO6IL4og7n//vulL776c0nCQOnO3r17KysrpRzIH8WRWqakpOTv/u7vli5d+s1vfjPUDEn+9uukcStXrtSl/ACWhATLMD5NT/vHiy666PfjaOCpp57SZbEaiQsrtN/X/dmMyK5i3cjIiPRKAEr9zfzOJSpenFnfp0TZjHgKHR1ByfMen+eSUGtrXKDb7e7q6qqtrZXfREXmzJmzfPny2267jRI4WqzT6dT3fJ7P26/po44LB7ASJFiG8Wl6OhY8dOiQGKaBoqIiXRarEfWa4rV0WVlZOqZByK6sgTaP5uZm8ZOIgoICU12AkxNvLDDtr/YohRL5k9JzSUSqlJ2d3aRg+/btlOwWFhbS7kKEQ7Db7ZWVlXSQFrXQ/OQnPxF3cVngybQAEYIEyzA+TZ+eni7d5vLRRx/RHlOXxWpHB8TFxcUiGdLlhpve3l7xNFFkV9Zw+PDhnJwccTVZ6aV70p3UbW1td999944dO2i4v78/YMdPm5yOV6UpdxFlM/M5Nh8Bn0uiESVY9IWlrIva0JAqd3d3i2IY9cgxAJNDgmUYn6aPj48/c+aMGKYBOjpUn1dF2EUaGxsTJ5yWLl3661//OuzlkPXr14vCILuyEtpCxNVkcbLzxhtvDHontRwdNlCKVlJSUlFRcfPNN9NBBY38zne+o0vZxE9iDXw/wQTRUc2uXbvoq7d27VqlM1jUVpTQ0L7igQceMMNzH8RD8ymsuFAI4A8JlmHiTHYGS6BkSNwnO2nSpP/4j/8IbyH9/f3iTlhKE0+cODGR8oAJ7du3jzaPgCmUdCe1+C0b+Zu/+Zu8vDz19Iump2VOMGMQ17hpOXpV05zoG2qqS7Si2SnEZkj4AEwFCZZh4sx0D5bcxo0bRbeXkpISxhOcOzs7xZ0lM2fOPHDgwAQLA+Z0zTXXxI3fj6V0J7XH46Fcp7u7Wz6SDiGGhoYcDgdtJPTfG2+8cenSpZMnTxbbGyXlVVVVNEsYF7xodWKr036TOOiC8ipx2jt2zx0CRAgSLMP4NP0TTzyh9CvCkII08YjSHvPRRx9dtWqV6PZqamq0H5uKSwZirhi6FQbCoNdVIdq6KEuTfqgoToPV19dT0qZ9Ib29vSLh06VIEJLBwUGR3eKGdwA5JFgG8Lk+IkaePXt2y5Yt9nH33nuv/DlYUU6wJNTtif1mXl7ewMCA+sTUTVZUVMTF4LO/wSRGRkaam5vFLwGFrKyslJSUa6+9Nui84llujY2NUSgn+MMN7wD+kGBZjb4RpbxKdHiUaalcLhweHhaTUXZo/sdRgsn19/dTwiSeGiXcddddY2NjKrOIBxz09fVFrZDgAze8A/hAgmU1ukfU7XbX1NSoXC50OBziYd+5ubnYt4JevF7vww8/nJaWJrY96rmpCw+YZtFWJybAVWlj4YZ3ADkkWFYToYgqXS7cu3eveOAh7VuxV4VI6O/vF1efldKsPXv20L+qq6uNKiEIuOEdQA4JltVELqI+lwu9Xq/0e8PGxkacPICIUkmzysvLaWR7e7uxJYRzuOEdQAYJltVENKLyy4XicVm0M0XHBlHjn2YNDw+Lh67p8voBmDjc8A4gIMGymihEtKWlRfRw6enpIf2WHkAX8jRLPPJ0yZIlRhcK/g9ueAc4hwTLeqIQ0dHRUfFwyB07dkR6XQBKKM0Sb88kNGB0ceAviEfRJicnv/rqq0aXBcAYSLCsJjoRHR4exuMYwHBer7eqqmrx4sVvvPGG0WWBv/DKK6+I3Hfp0qVGlwXAGEiwrIZPRAHAtCj3LS0tjY+Px+8PgC0+3TGberKJKACYXFtbm/gpDG7GAob4dMdWrmfAd+8AABiuqqqKdkr5+fl4kgtww6c7ZlNPNhEFAPNzu93iRUb19fVGlwUgqvh0x2zqySaiABATnE6neN9Dd3e30WUBiB4+3TGberKJKADEitbWVto1ZWRkjIyMGF0WgCjh0x2zqSebiAJADBFvNCopKcHNWMAEn+6YTT3ZRBQAYojL5crKyqIdVFNTk9FlAYgGPt0xm3qyiSgAxJbe3t7EcX19fUaXBSDi+HTHbOrJJqIAEHMaGxtpH5WVlYWXc4Pl8emO2dSTTUQBIOZ4vV7xBsmKigqjywIQWXy6Yzb1ZBNRAIhFIyMjdrud9lStra1GlwUggvh0x2zqySaiABCjurq6aE9ls9n6+/uNLgtApPDpjs1ez3feeWfNmjX2cTRAH8NbDp+IAkDsqquro51VcnLyAw88YHRZACKCT3ds9nquXLly69atY+Puu+8++hjecvhEFABil8fjmTJlCu2vkpKS8GQssCQ+3bHZ63neeeedPn1aDH/66af0Mbzl8IkoAMS0pqamSZMm0S7L4XAYXRYA/fHpjvWvJx2BNTY2LliwwGaz0d/t27d//vnnYS+tsrKSlvDJJ5+MjY3RYuljeMvhE1EAiHUtLS20y8rJyXG73UaXBUBnfLpj/et55513lpaWDgwMUKZFfy+//PLvfve7YS/t/fffnzt3btw4Gvjggw9UJo5TFXYZAACiyev1FhYW0l6rrq7O6LIA6IxPd6x/PWfOnCl/cSkN05iwl1ZWVnbfffdJ92DRx/CWwyeiAGABg4ODNpsNFwrBevh0x2ZPsKZMmYJ7sACAIVwoBEvi0x1H5BJhWVnZG2+84fF46C8NT+QS4cqVKxsbG8UZrPvvv7+oqEj6V0hB4hNRALAGXCgES+LTHUfkJvetW7fOnz/fZrPR323btk3kJve33nqrvLz8/HGrVq16++23pX8hwQIAa8OFQrAePt0xm3qyiSgAWAkuFILF8OmO2dSTTUQBwEpwoRAshk93rH89BwYGioqKxMOIzfOIBDOUAQAgDLhQCFbCpzvWv550sLVz584//vGPui95IvhEFACsBxcKwTL4dMf615OOtD777DPdFztBfCIKANaDC4VgGXy6Y/3rOXfu3OHhYd0XO0F8IgoAloQLhWANfLpj/ev5wx/+sKKiYnR0VPclTwSfiAKAVeFCIVgAn+5Yn3qqvwTQDK1phjIAAEwELhSCBfDpjtnUk01EAcDCcKEQYh2f7lj/ek6aNEn3ZU4cn4gCgLU1NzfTDs1ut7tcLqPLAhAyPt2x/vW88MIL//u//1v3xYbBbJcpAQAmbv/+/WKf9pWvfAU5FsQcPt2x/vV85JFHrrvuuhMnTpw9e1b3hYeNT0QBwNqcTmdCQsKkSZNot5abm2u2XxQBqOPTHetfT9zkDgAQUSMjI0ePHs3Ly6M9W2Zm5uDgoNElAtCKT3fMpp5sIgoATLjd7uLiYtq5ZWRk9PX1GV0cAE34dMds6skmogDAh8fjqayspP1bampqd3e30cUBCI5Pd8ymnmwiCgCseL3e2tpa2sUlJia2t7cbXRyAIPh0x2zqySaiAMBQY2OjuOG1tbXV6LIAqOHTHbOpJ5uIAgBPlFolJibSvq6+vt7osgAo4tMds6knm4gCAFudnZ0ix6qurvZ6vUYXByAAPt0xm3qyiSgAcOZwOFJTU2mPN3/+/P/8z/80ujgAvvh0x2zqySaiAMCc0+mMj48Xt723tLR4PB6jSwTwf/h0x2zqySaiAABLliyRnvOck5PT1tZmdIkA/j8+3XEM1PPYsWNXXXVVSkrK7Nmz9+/fH95C+EQUAMDj8TgcjoMHD+bn54s0iwZ6e3uNLhcAo+7Y7PU8fvz4nDlz2tvbP/7443ffffeGG24Ibzl8IgoAIPF6vW1tbVlZWSLNKisr6+/vN7pQwBqf7tjs9aSMas+ePRNfDp+IAgD48Hg8zc3NdrtdpFk1NTXDw8NGFwqY4tMdm72eM2fO3LZt26xZs6ZNm3bzzTePjY2Ftxw+EQUACIj2n/X19TabjfaHycnJF1xwwaWXXoqnOUCU8emOzV7PhISE6urqk+OqqqrowEtl4jhVUSszAIBpDQ0N0U5V2jGmpqZWVFS0trbi0iFEB5/u2Oz1TE9P/+ijj8Qw5VgZGRnhLYdPRAEAgvrJT36SlpaWkpIiPwq12+1ItiDS+HTHZq9ncXEx5VVi+MMPP0SCBQCgo9HR0Y6Ojtra2tzcXJ9kKysra/r06S+99JLRZQRL4dMdm72e+/fvX7dunXSJ8NZbb5X+FVKQ+EQUACA8AZOt1NRUnNACHfHpjmOgntu3b8/IyJg6depNN90kv8kdCRYAQIRQsnXJJZdMnjxZPBG+tbXV6BKBRfDpjtnUk01EAQD04vF46uvrxams8vJyl8tldIkg5vHpjtnUk01EAQD01d3dnZGRQXvRzMxMPA4eJohPd8ymnmwiCgCgu5GRkbKyMnEqq6GhAU/PgrDx6Y7Z1JNNRAEAIoGSqubm5sTERNqdFhQU4FnwEB4+3TGberKJKABA5Bw+fDgnJ0f8urCjo8Po4kDs4dMds6knm4gCAETU2NhYVVWVuFx42WWXvfHGG0aXCGIJn+6YTT3ZRBQAIAr27duXlJREu9aEhIQjR44YXRyIGXy6Yzb1ZBNRAIDoWLt2rTiPZbPZ9u7da3RxIDbw6Y7Z1JNNRAEAomNsbOwf//EfKysrRZpVVVXldruNLhSYHZ/umE092UQUACDKOjo6UlNTaTe7cOFCvFcH1PHpjq1cz7i/ZHRxAAAsa2hoKD8/H5cLISg+3TGberKJKACAITweT21tLS4Xgjo+3TGberKJKACAgXC5ENTx6Y7Z1JNNRAEAjCW/XLh161aHw2F0icBE+HTHbOrJJqIAAIaTXy4k+/fvN7pEYBZ8umM29WQTUQAAk/j+978vEiy73d7V1WV0ccAU+HTHbOrJJqIAAOaxZ8+e+fPnizSrsrJyZGTE6BKBwfh0x2zqySaiAACm4vV6Kc0Sd77b7XY8xIE5Pt0xm3qyiSgAgAmNjIysWbNGnMoqLi4eHBw0ukRgDD7dMZt6sokoAIBpdXZ2ZmZmih8YNjU1eb1eo0sE0canO2ZTTzYRBQAws7GxsY0bN4pTWbm5uf/yL//S1dVFI40uF0QJn+44NurpcrnmzJkzkajwiSgAgPk5HA7KrqTnOCxbtszoEkGU8OmOY6Oet99++65du5BgAQBYhsfjaWxsnDRpksixMjMzq6ur29raRkdHjS4aRBCf7jgG6vnmm28uWLCAvopIsAAALObgwYMrVqwQN2ZJ8vLyNm/e3NPTQ3t+owsIOuPTHcdAPa+55ppnn3323MSiwieiAACxaHBwsLW1tby8XDzQQbDZbFdccUV1dfXjjz9udAFBH3y6Y7PX85VXXrn44ovPnj17TkNU4lRFpbwAADAhHo/H4XA0NDQUFBTI9+GUeFVUVFAShndIxzQ+3bHZ67ls2bK+vj4xjDNYAACsuFyuuro6/wNmu90uT7a8Xi8erBUr+HTHZq+nXiei+EQUAMBKKHnq7Ozs7e0dHR3t6Oiora2V//xQJFvp6ek0sG7dOkrIjC4vBMGnO46levpEJaQg8YkoAIDlKSVb4teIa9as2bx5M00wMDAgPct0ZGRkIs81pTU+9dRTa9eu/fGPf6xTJZji0x3HUj2RYAEAgA9Kfb73ve8tWbJk2bJl8hvkpdvk8/Pzi4qKaDgjI+Of//mf+/v7h4eH/ZdDI3t7e8Wwx+Ohydra2urr68vKymhG+TLPP/983A0WNj7dMZt6sokoAABnQ0NDXV1dTU1NlAMtXLhQ8XdP49cWc3JySkpKaMrrr78+Pj6eRlI2lpeXl5iY6D/xzJkzaSA5OVnlbrCxcUa3ganx6Y7Z1JNNRAEAQOJ2uw8fPrxz587FixevWLGC0inKn7KyslQSL4Emq6ysbG5u7u7uHhkZOTd+N1hvby8tUOkCZVpaGmVmSUlJTz75JO4GU8KnO2ZTTzYRBQAALSgHGhoacjgcnZ2d+/btq66uLi8vf/zxx51Op/YHnIZxNxhzfLpjNvVkE1EAADDEiRMnKKNavnx5QUGB0t1gNEFZWdnTTz8duVNclPP94Ac/yM7OvvXWWyO0iong0x2zqSebiAIAgBkEvRtMl1Nc6vfjp6enm+1+fD7dMZt6sokoAACYkLgbLDs7m/qjadOmKZ3iuv766wsKCkpLS5uU0X/nz59/9dVXK92Pv3Tp0uTk5LS0NJ/xZki2+HTHbOrJJqIAAGBa4kVA4mSV9h88qvO/H1+idIvY+eefP2vWrAULFrz22mtRbgE+3TGberKJKAAAxCJxiuvb3/52fHy8zWa75557lM5gZWVlJSYmrl+/fuL349NyaAylehGtmhyf7phNPdlEFAAAYtrIyEjQtImysYms4u23354/f/6UKVOkTKuiokJ6829E8emO2dSTTUQBAAA0Ghoaqq2ttdlsIs0qLCzs6uqK6BMl+HTHVq6nz1Vqo4sDAABgRqOjo01NTdIvEBcuXLhnzx6Px+NzR5cu+HTHbOrJJqIAAABhoIyK8irpdntxWquyslLftfDpjtnUk01EAQAAwub1eru6ugoLC0WalZCQ4HA4dFw+n+6YTT3ZRBQAAGDiHnvssWnTpok0q66uboK31Uv4dMds6skmogAAALrwer0tLS3iWmFOTo4up7L4dMds6skmogAAADoaHByUrhhO/FQWn+6YTT3ZRBQAAEBfOp7K4tMds6knm4gCAABEgi6nsvh0x2zqySaiAAAAETLxU1l8umM29WQTUQAAgIiSn8rKy8tzuVza5+XTHbOpJ5uIAgAARJrX67322mtFjpWTkzM8PKxxRj7dsdnr+fLLL5eWltpstlmzZm3YsOHUqVPhLYdPRAEAAKKgv78/LS0tISGBetjMzEyNlwv5dMdmr+eVV1556NAht9t98uTJTZs2rV69Orzl8IkoAABAdHg8HpfLVV5eTp1sYmLivn37gs7CpzuOpXqePn06JSUlvHn5RBQAACCavF5vQ0ODuFxYW1tLH1Um5tMdx1I9u7q6SkpKwpuXT0QBAACir729Xfy6kHpqldve+XTHMVPPo0ePzps37/jx4yrTxKmKWlEBAAAYcjqdmZmZ4rb3gYGBgNPw6Y5jo54OhyM7O/vIkSNhL4FPRAEAAIwyOjoqnuCQmpra1dXlPwGf7jgG6tnR0TF79uzXX399IgvhE1EAAAADeTyempoace2oqamJPsr/y6c7Nns9d+/enZ2dPTg46P+vkILEJ6IAAACGa2lpSUxMpM43ISHhoYceksbz6Y7NXk//W6mklx8hwQIAADCtnp4e0XFPmjRpzZo13d3dx44d49Mds6knm4gCAACYxJYtW6ZOnSoeRsrtN2ds6skmogAAAKYyOjra3Nw8ffp0JFgWxCeiAAAAJuTxeNavX8+nO2ZTTzYRBQAAMC0+3TGberKJKAAAgGnx6Y7Z1JNNRAEAAEyLT3fMpp5sIgoAAGBafLpjNvVkE1EAAADT4tMds6knm4gCAACYFp/umE092UQUAADAtPh0x2zqCQAAACZgdEYQJVzqqYuobRbRWRHWYtoVYS2mXRHWYtoVYS2mXRGfjMoH02qHBxs987VEbUVYi2lXhLWYdkVYi2lXhAQLgsNGz3wtUVsR1mLaFWEtpl0R1mLaFSHBguCw0TNfS9RWhLWYdkVYi2lXhLWYdkVIsCA4tluJ+SE0poXQmBZCY1oIjTUgiiHARm9aCI1pITSmhdCYFkJjDYhiCLDRmxZCY1oIjWkhNKaF0FgDohgCbPSmhdCYFkJjWgiNaSE01oAohgAbvWkhNKaF0JgWQmNaCI01IIoAAAAAOkOCBQAAAKAzJFgAAAAAOkOCBQAAAKAzJFgAAAAAOkOCBQAAAKAzJFgAAAAAOuObYJ09e/aee+6x2+1Tp05taGigj9K/4v5XqPOqLBO0U2rGl19+ubS01GazzZo1a8OGDadOndI+L0KjC6VmPHjw4KWXXjp58mQKzS233PLhhx9qnxeh0YV6M7pcrjlz5ijt0xCaiFJqxri/FNK8CE1M4Jtg7d2796KLLvr9OBp46qmnfCZQSbCU5g26TNBCqRmvvPLKQ4cOud3ukydPbtq0afXq1drnRWh0odSMl19++QsvvDA2Nnb69OmdO3dSHqx9XoRGF+rNePvtt+/atUtpn4bQRJRSM2p5mihCE9P4JlgrV66k3loM00BRUZHPBP5bvzRGad6gywQttDQjdeQpKSnSR4QmOrQ0I2XA5513nvQRoYkOlWZ88803FyxY4PF4fPZpCE10KDWjSoKF0FgD3wQrPT3d5XKJ4Y8++shut/tMoJJgKc0bdJmghZZm7OrqKikpkT4iNNERtBk/++yzhx56SH5yEaGJDpVmvOaaa5599tlzfvs0hCY6lJqR2j8jI4OORvLy8h599NEvvvhCmgWhsQa+CVZ8fPyZM2fEMA0kJCT4TKByeKE0b9BlghZBm/Ho0aPz5s07fvy49nkRGl2oN6O4lWTGjBlDQ0Pa50VodKHUjK+88srFF18s7tFR2qchNBGl3oyff/650+ksKiqqr6/XPi9CExP4JlhhnMEKOi+OKnSh3owOhyM7O/vIkSMhzYvQ6CJoM3766ac7duy45JJLtM+L0OhCqRmXLVvW19cnhpX2aQhNRGlpxnfffTfgeIQmpvFNsMK4ByvovLgurguVZuzo6Jg9e/brr78e6rwIjS60NCPlWPLb44LOi9DoQuVGn6C/VkNoIkpLM46MjMycOVP7vAhNTOCbYD3xxBOh/opQGqM0b9BlghZKzbh79+7s7OzBwUH/WRCa6FBqxptuuunNN988c+bMe++9V1dXF/AeLIQmorQ0o9I9WAhNRCk1Y1VV1cDAwJ///Gf67pSVld15553SLAiNNfBNsM6ePbtlyxb7uHvvvTfgc7B8DvikYaV5VZYJ2ik1o/+xuNvtlv6lPi9CowulZnz++eeXL1+enJw8Z86cTZs2/eEPf5BmQWiiQ0szKiVYCE1EqX9rJk+evGDBgq1bt3o8HmkWhMYa+CZYAAAAABGCBAsAAABAZ0iwAAAAAHSGBAsAAABAZ3wTLKU3B4f6ck0tbyBWmV1QfxWrEPBX1hrXDgAAANHEN8FSenNwqC/X1PIGYpXZBfVXscr5TKNx7QAAABBNfBMsOfmbgyfyYDefNxDLhfEq1oBUplFZOwAAAEQTEqz/IX9z8EReTeDzBmK5MF7FGpDKNCprBwAAgGhCguX75uCwX66p8gZildm1vIpVTmka9bUDAABANHFPsPzfHBzeGSz/5fjckx7qq1iVXhwWMMFSf/8xAAAARBnrBCvgm4PDuAcr6BuIVWbX8ipWOf8JtKwdAAAAoolvgqX05uBQX66p8gZiLYuVC+MSoca1AwAAQDTxTbCU3hwc6ss1Vd5ALBfGq1jVCxzS2gEAACCa+CZYAAAAABGCBAsAAABAZ0iwAAAAAHSGBAsAAABAZ0iwAAAAAHSGBAsAAABAZ0iwAAAAAHSGBAsAAABAZ0iwAAAAAHSGBAsAAABAZ0iwAAAAAHSGBAsAAABAZ0iwAAAAAHT2/wC1Iottj43vjwAAAABJRU5ErkJggg==)
| VMR Tools created by Darren De Zeeuw. |