Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit380-08-20021216_020800_20021216_065300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/12/16 |
Start Time | | 2002/12/16 02:08 |
End Time | | 2002/12/16 06:51 |
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 | | 32.90 |
Dipole Tilt, in Y-Z GSE plane, deg | | -1.80 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 196.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit380-08-20021216_020800_20021216_065300-constBx0 |
Minimum Dst Value | | -13 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | NO |
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View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for GOES-9 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAV2VkIEphbiAwOSAxODozMDozNyBFU1QgMjAxObqPFJsAAAHLdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQzODAtMDktMjAwMjEyMTZfMDY1NDAwXzIwMDIxMjE2XzExMzkwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIEdPRVMtOSB0cmFqZWN0b3J5LiIsIAogICAgInhheGlzIjogeyAibGFiZWwiOiIiLCAibWluIjoiMjAwMi0xMi0xNlQwNjo1NDowMC4wMDBaIiwgIm1heCI6IjIwMDItMTItMTZUMTE6Mzc6MDAuMDAwWiIsICJsZWZ0Ijo3OCwgInJpZ2h0Ijo3MDksICJ0eXBlIjoibGluIiwgInVuaXRzIjoiVVRDIiB9LAogICAgInlheGlzIjogeyAibGFiZWwiOiJyaG8iLCAibWluIjowLjE0ODI5Njk5OTUsICJtYXgiOjIuMTYwMDQzMDAwNSwgInRvcCI6NTIsICJib3R0b20iOjIzNSwgInR5cGUiOiJsaW4iLCAidW5pdHMiOiIiIH0KICB9CiBdfaBdImYAAAAEZ0FNQQAAr8g3BYrpAAAh9UlEQVR4nO3dfXAU9f3AceRBQmLTC0RjIgSQ0koHaWW0A01UREAoPqB1aBBBkFraKiNthQTDQ2mrtp3CiKMGS2PHGSsPdjSjJXQ6rbRTa2WgDDUVhIoQg+UhyFPUQITk95ns/HbW797u7d3t99jc9/36g9nb7H539/PZ3c9nL5ejWwcAAABC1e187wAAAEC2ocECAAAIGQ0WAABAyGiwAAAAQkaDBQAAEDIaLAAAgJDRYAEAAISMBgsAACBkNFgAAAAho8ECAAAIGQ0WAABAyGiwAAAAQkaDBQAAEDIaLAAAgJDRYAEAAISMBgsAACBkNFgAAAAho8ECAAAIGQ0WAABAyGiwAAAAQkaDBQAAEDIaLAAAgJDRYAEAAISMBgsAACBkNFgAAAAho8ECAAAIGQ0WAABAyGiwAAAAQkaDBQAAEDIaLAAAgJBlVYPVrVtWHQ4AZIaOm+cbb7wxdOjQhCPr2DS1AFGQVWeh10XFxQYAPnTcJMvLy1966aXzsmnu+SkgaKHLqoAm+6i0cePG6667rnfv3sXFxffcc8+hQ4es+Xv37r355ptjnWRCXlrz29vbFy5cKDMLCgqqqqrkZdyteC12/PjxmTNn9u3bt7CwcNmyZV47uWnTprFjx+bk5MhezZkz5+jRo/7Des33GseKgyXIdr2WFzt27JgwYUJeXl5JSUltba3XEfmHLu4g3T5LGa25uXnAgAHO+ckGJ66sjLzPIHHne10UXmdvKJHXQTku+2AvuOCCoqKiioqKpqYmn9VT2P+DBw9+//vfHzRoUK9evWStiRMnSjDj7owyUya+/OUvOzch08OGDXMuYP9o165dd9xxhyTiwgsvvPrqq1988UVr/okTJ2Q/hw4d2qdPH9n6bbfd9uc//znhPrt3JuUF3PLz80+fPp3+plOgu1fwybVoaGiYNGnSRZ1k4q233nLuWNybW/D0BakjmWyVaMt8ZFVokr1H3HDDDfKAJefrqVOnli9fLkXOmj969Ojq6urjnRYtWiQvrfmrV68eOXLke51kYs2aNXG34rXYrFmz5LZ+qNPUqVOfffbZuKuPHz++vr6+paXl8OHDc+fOnTx5sv+wXvO9xvGKRrLL7969W7qc559//tixY42NjdOmTYt7OP476TWIfyrl1vboo486l0k2OHFlZeS9BvGa73VReJ29oUReB3eDZU2cO3fugw8++NGPflReXu6zerL7f+DAgYEDB8qwO3fu/OSTT6RLfvXVV2+66aa4O6PMlAlplV555RX7Ry+//LLMcTdYe/bske7wV7/6leRdepc333zzm9/8pvUj2dZ9990nC5w5c+bIkSPr16+//vrr/fc57s6kvEDKq3S5Bss/1//9738vvvjiFStWHOy0cuVKeSkz/XcsePqC1BEarIjoGqGRW8mDDz5Y1Ekm7KciSa2cvv3795enUuvlL37xi0suuUS6+/vvv1/OVHuxjs8+Org3IeUtNzfXmpYJqS7W9MmTJ+350mlJIbSmZaKsrCzu3not1q9fP6mg1rRcG/73d4vsRl5env+wQfbKOY7N58IIsrzU9SeffDLhIfjvpNcgPvsmN7UhQ4a0trY6l0knOHFlTeQTbtRnZ5wXhdfZm2bkP/300yVLlpSWlsZiMekbrJk+13tNTY3UtpycnFGjRjU0NFjz5Vn/qquukpnyI6sTcl/symGeOHGiT58+MvHd737XWaJqa2tljv/+x43YvffeKw9jXpFM2GBt2LDBuQk5uhdffNG983fdddfPfvazuJuQw5GD8toB50Z9bpIdHsH3v3kmu4r7vh03rV6ngZM8bEiLKceSn59/++23Nzc3Bzkc/43KCSADyvISqBRyPX36dOWNpaVLl959993KjikCpq8jQB2Je/I7A54waPIQ8tOf/nTQoEEFBQWzZ8/+6KOPrPnuq9W9rSDF+tprr127dq29w/K0UFxcHPDwu5au0WBJUseNG9fUSZ6w5Xy15kvObrvtNnketV/KYgc6ycSPf/xje74yoZAT6LHHHrPfObjzzjtlE5JveY5fvHixvLTmy+lon4vykCEnWdzRvBaTC0NeWtNyhXit7lRXVzdmzBj/YYPslXMcm09lDbK8XD+SF7kw5EKdOXOmxMrnQLx20msQ2VZhYaFU9+HDh69aters2bP2UN/4xjd+97vfKfuTTnASRqBLRz7hRgNeFF5nb5qRl3ZBjvfdd989duzY/PnzrZk+1/uUKVP27dsn+7Z8+XK7I5FQ/P73v5dbudyp58yZE/e4nMXj4MGDlZWV1jsE0mFcd91169evl+l169bJdFtbm//+x42Y7IPUrbjH6LWK874kezV06NB//OMf8nLz5s0yLXPcNy5Jvf2JBcWkSZOmTp36+uuvf/LJJ1670RHgJukTfK8xk13Ffd+Om1avYZ1GjBjx2muvySHL7fqBBx749re/Hfxw4m5UbvgSyQ86TZgwIYVcS47kfHbOkZeXXnqpf0wCpq8jWB1xn/zOgCcM2ooVK2688cb33ntPrkppDX/4wx9a8+Nercq2ghTrP/7xj8OGDZMz3PqRXLM///nP/Y+6i+oaDdbll1/+9ttvW9PyqDFkyBBrWnK2f/9+ezF5aS/2n//8x7mYMuFkdd/ySGe/i2u9A2zNlwn7vOzevbt18xUy0aNHj7h767XYjBkz5OHmcCd5Eu3Zs6f/UW/fvn3w4MH2lew1bMK9UsZxHniQ7XotLxuSa886nIqKilmzZvkci9dO+g8iJXPr1q1y77Mv5j/96U9f+9rXrE+rOPcn5eAEiUCXjnzCjQa8KLzO3jQj/4UvfMF+88Dmc71Lb2RNf/zxx9ZbUGLAgAFPPPHE+++/73Nc3T5LHs3lFmH96NChQxL2qqoq+df+zFmyZ44ExFka3W8huFdRfvrMM8/ceuutHZ2/Lfr1r3/tXsDaSmtra9wdOHnypNS2r3zlKzk5ORLAhx56KO5bAglvkj7B9zr2ZFdx37fjptVrWC8Sgf79+wc/HK+N7tq1y5qWFeMegn+u5VRRciQL29dLNxd754OkryNYHXGf/M6AO8UN2hVXXPHOO+9Y03JFSBG0puNercq2Ahbra665xnpO3rNnj+yApCDu7nV1XaPBknPOPmVlQl5a05Iz5ydD5aXXYsqEQk6yZcuWXXvttdZLacAXLVpkfwZLXlrzvR5qlUvFa7EPP/xQrge5s8sjziOPPOJ8pnGubpGn2NLS0i1btthzUnurwD2OM1zumcGXl+06H6QKCwvdqwTZ+YSDNDY22stfeeWVf//73937E+I7WFkWef+N+sxXLgqvszfZ4Chnu/PStvlc73H3/F//+teUKVPkyX7o0KH27/W8Frb2p7q62v54WUfnL3FkAft3lD7770UC4tMZ9+rVS/kNlxyX9HDOxWSB4uLiF154Qf61f8umjOPzDpZNbonSOd1zzz3uD/N1BLhJBgy+U7KruO/byk/9h3WSBzDJo5yW1kll98HJHo5zeTtTyucQbP65lseSFN7BsrnTp1wyXldi3J2xXzoDnjBo0m46W0D7RI17tSrbClis6+rqvvSlL509e3batGnydOQfk66razRYAZ+QnA9nMuFezPoNdFxSTuzPvsjppeMzWE5PPfWUXCReO7Nu3bqSkpJt27YFGdZnc3HHsbkv9aSWLy8vd34UwL/Me+1kkEGamprkVmLvQ9znv7A+g5V9kffZqP/8js9eFE7OszfNyEtLlNQ7WD57LrfvP/zhD3a9US52ZWG5wO03LXbs2CHP0C+99NJll11mv2OX7JkjFbGqqkqZaW902LBhb775pvNH//znPwcNGqQs9thjj/Xs2dP+dYm7wZKwP/roo/57YpGHw8997nPu+Qlvkl7B97l5pvAOVpCXQd7BkpnPPfec9BxSquVfd8SSPZeCvIPln2vpGNyfwZo+fXrc7XrxSp/Cq474n/wJgyatz759+9zDxr1alW0FDLhcrfK0vGDBArkK7A8CZp+u0WDJ46b9a11pvRcvXmzNd18kEyZMsD5eIBPujwJcfPHFO3futJefMWOGvGxra3v//fcfeOAB+4lB7q2yCesdrIcffti+t9bU1AT5wyKvxeQak/2XMdeuXTtgwAD7PVjFihUrSktL7Ys84bBe873GcYYryHa9lq+trbXfqa6oqJg9e7bXij476TWITMvFKReeJEhSP2/ePP/9STY4cWVl5L0G8ZrvdVF4nb1pRl4ewceMGbN3717npzqCX+/WhARB7ulytkiDJX2qNVO52J3rHj16dMmSJaNGjero/KiZ3Oj/9re/yfQrr7xy1VVXWb/98dn/uJHcv3+/bNr+yzI5nFdffdVeUgqhbOWvf/3ryU6bN28ePnz4L3/5S58BO+I1WHv27JEOcuXKlRKZ06dPb9myxf4rwuuvv379+vXScEvuZJ/nzp07adKkuGP63yS9gq/E0ylgvrwC6PXSa1gnicbLL78soZBTSELhjliy55Isb38G66abbkoh13JpyDOP5Mj+K0J5ab/j5RWTgOnrCFZHfE7+IEF7/PHHJWgyglxTb7311re+9S1rftyrVdlW8JNBnipl5m9+8xvnzIANaFfRNQ6mtbVVSqz1hwkyYb8D6b5IrD+QKSgo+N73vuf8+wVrQipZLBazX27YsGHEiBEXXnihnKZyQksvb82Xu9jEiRM/30nOcvv9Xmm6peO2vh+rsrLS53uw4i4mdVEuy9zc3PHjx2/fvt3rYN1v0rS0tPgM6zXfaxz3j1JbvqPzyUzuHRJtqcr+H7X2CV3cQazU9O7dWx6A5IqN+7kT554kGxxzIu8zSNz5XheF19mbZuSlnMgzTP/+/eVYpBRZM4Nf79aEVBp55s7JyZH26LXXXrNmKhe780j79u176623Wtf1zJkzrQ88WWQfrIbVZ/+7edSAxsbGe++9V6LUs2fPfv363X777W+88YYdjd/+9rdXX321dVeRieeeey7hgN1cla+j869oZWTZK8nRNddcY38P1l/+8heZL2GUOAwePPj++++3c6eM6X+T9Aq+Ek+ngPnyOl6vl17DOm3cuFFS36tXL3lEeeKJJ9wRS/ZckgW+853vSHAkRD/5yU9k5LiH4JNr8e9//1sqSF4n6dJ27Njh3FDc6y5g+jqC1RH3yZ9U0M6dOyfzr7jiCrkDy4NBXV2dNT/u1apsK/jJIKfu0KFDP/30U+dMr3Omi8qqgwEA+MiyAqaV9EnS65zvvciQs2fPJvy7q3DdcsstL7zwQia3mHlcbABgChqshObPn3/w4MH9+/ffeOONP/jBD8737mTI1q1b7b8W1O3cuXPPPPPMlVdeaX9TQ7biYkOY3G+AR/CG3iV2MllZeVAIHWdFQo8//nj//v0vueSS++67L1u/PsDtoosuevrppzOzLTkJBw0aJC1dZjZ3HnGxAQAAhIwGCwAAIGQ0WAAAACGjwQIAAAgZDRYAAEDIaLAAAABCZkqDFfeP2AEAQFjOd6mPFlPCQeIBANCHOqswJRwkHgAAfaizClPCQeIBANCHOqswJRwkHgAAfaizClPCQeIBANCHOqvI5nDw1w0AAGQGdVZhSjhIPAAA+lBnFaaEg8QDAKAPdVZhSjhIPAAA+lBnFaaEg8QDAKAPdVYRlXBs2rRp7NixOTk5xcXFc+bMOXr0qHuZ9vb2hQsXxmKxgoKCqqoqeRl8fBIPAIA+1FlFVMIxfvz4+vr6lpaWw4cPz507d/Lkye5lVq9ePXLkyPc6ycSaNWuCj0/iAQDQhzqriGI4Tp06lZeX554/evRoacKsaZkoKysLPiaJBwBAH+qsIorhqKurGzNmjHt+fn5+c3OzNX3kyJFYLBZ8TBIPAIA+1FlF5MKxffv2wYMH79692/2j7t27t7W1WdMy0aNHD2WBbr607zoAAKaiziqiFY7NmzeXlpZu2bIl7k95BwsAgGiizioiFI5169aVlJRs27bNawE+gwUAQDRRZxVRCceKFStKS0t37drl/pGds5qaGv6KEACACKLOKqISDvdHplpaWuwfWRPt7e0LFiyIdaqsrOR7sAAAiAjqrMKUcJB4AAD0oc4qTAkHiQcAQB/qrMKUcJB4AAD0oc4qTAkHiQcAQB/qrCKbw8EXjQIAkBnUWYUp4SDxAADoQ51VmBIOEg8AgD7UWYUp4SDxAADoQ51VmBIOEg8AgD7UWYUp4SDxAADoQ51VmBIOEg8AgD7UWYUp4SDxAADoQ51VmBIOEg8AgD7UWUU2h4MvGgUAIDOoswpTwkHiAQDQhzqrMCUcJB4AAH2oswpTwkHiAQDQhzqrMCUcJB4AAH2oswpTwkHiAQDQhzqrMCUcJB4AAH2oswpTwkHiAQDQhzqrMCUcJB4AAH2os4psDgdfNAoAQGZQZxWmhIPEAwCgD3VWYUo4SDwAAPpQZxWmhIPEAwCgD3VWYUo4SDwAAPpQZxWmhIPEAwCgD3VWYUo4SDwAAPpQZxWmhIPEAwCgD3VWYUo4SDwAAPpQZxXZHA6+aBQAgMygzipMCQeJBwBAH+qswpRwkHgAAPShzipMCQeJBwBAH+qswpRwkHgAAPShzipMCQeJBwBAH+qsIkLhSPjnfun8VSCJBwBAH+qsInLh8G+wdAwLAADSRJ1VRC4cNFgAAHQ51FlF5MLh32AVFhbm5uYOHz581apVZ8+eDWVYAACQJuqsInLhSJih06dPb926taysbP78+e51fWjbZQAATEedVUQuHAEz1NjYGIvFQh8WAACkgDqriFw4AmaoqampqKgo9GEBAEAKqLOKyIXDnSF7TkVFRUNDw5kzZ3bu3Dlu3Lh58+alMywAAAgLdVYRoXB4fWTKnt6wYcOIESN69+49ZMiQ6urq1tbWpAYPeXcBAMD/o84qTAkHiQcAQB/qrMKUcJB4AAD0oc4qTAkHiQcAQB/qrMKUcJB4AAD0oc4qsjkcfNEoAACZQZ1VmBIOEg8AgD7UWYUp4SDxAADoQ51VmBIOEg8AgD7UWYUp4SDxAADoQ51VmBIOEg8AgD7UWYUp4SDxAADoQ51VmBIOEg8AgD7UWYUp4SDxAADoQ51VZHM4+KJRAAAygzqrMCUcJB4AAH2oswpTwkHiAQDQhzqrMCUcJB4AAH2os4rww9Ha2rp48eIhQ4bk5OTIv0uXLj19+nToW0kWiQcAQB/qrCL8cMybN2/s2LENDQ3Sacm/N9xww4MPPhj6VpJF4gEA0Ic6qwg/HEVFRU1NTfZLmZY5oW8lWSQeAAB9qLMKGiwAAJAu6qxCy68Ix40b9/bbb7e2tsq/Ms2vCAEAyG7UWYWWD7lXV1dffvnlOTk58u+SJUvO14fc+aJRAAAygzqrMCUcJB4AAH2oswpTwkHiAQDQhzqrCD8cDQ0NZWVlffr0idSv56KwDwAAZCvqrCL8cIwaNWr58uUff/xx6COng8QDAKAPdVYRfjhycnI++uij0IdNE4kHAEAf6qwi/HAMHDhw3759oQ+bJhIPAIA+1FlF+OF4+umnp0yZcvDgwdBHTgeJBwBAH+qsIpxwdEsklK2kuYfnexcAAMha1FlFNocjak0eAADZijqrCD8cF1xwQehjpo/EAwCgD3VWEX44Lrvssv/973+hD5smEg8AgD7UWUX44Vi5cuUdd9yxf//+9vb20AdPGYkHAEAf6qwi/HDwIXcAAExDnVVEKBwJu7H29vaFCxfGYrGCgoKqqqqk3iEj8QAA6EOdVUQuHD4ZWr169ciRI9/rJBNr1qwJZVgAAJAm6qwicuHwydDo0aPr6+utaZkoKysLZVgAAJAm6qwicuHwyVB+fn5zc7M1feTIkVgsFsqwAAAgTdRZReTC4ZOh7t27t7W1WdMy0aNHD/e6Uf42eQAAshV1VhG5cPAOFgAAXQ51VhG5cPAZLAAAuhzqrCJy4XBnyJ5TU1PDXxECABBB1FlFhMLh9ZEpe7q9vX3BggWxTpWVlXwPFgAAEUGdVZgSDhIPAIA+1FmFKeEg8QAA6EOdVZgSDhIPAIA+1FmFKeEg8QAA6EOdVWRzOPiiUQAAMoM6qzAlHCQeAAB9qLMKU8JB4gEA0Ic6qzAlHCQeAAB9qLMKU8JB4gEA0Ic6qzAlHCQeAAB9qLMKU8JB4gEA0Ic6qzAlHCQeAAB9qLMKU8JB4gEA0Ic6q8jmcPBFowAAZAZ1VmFKOEg8AAD6UGcVpoSDxAMAoA91VmFKOEg8AAD6UGcVpoSDxAMAoA91VmFKOEg8AAD6UGcVpoSDxAMAoA91VmFKOEg8AAD6UGcVpoSDxAMAoA91VpHN4eCLRgEAyAzqrMKUcJB4AAD0oc4qTAkHiQcAQB/qrMKUcJB4AAD0oc4qTAkHiQcAQB/qrMKUcJB4AAD0oc4qTAkHiQcAQB/qrMKUcJB4AAD0oc4qTAkHiQcAQB/qrCKbw8EXjQIAkBnUWYUp4SDxAADoQ51VmBIOEg8AgD7UWYUp4SDxAADoQ51VmBIOEg8AgD7UWYUp4SDxAADoQ51VRCUc7e3tCxcujMViBQUFVVVV8tK9TDp/FUjiAQDQhzqriEo4Vq9ePXLkyPc6ycSaNWvcy6STPBIPAIA+1FlFVMIxevTo+vp6a1omysrK3MvQYAEAEE3UWUVUwpGfn9/c3GxNHzlyJBaLuZeR5BUWFubm5g4fPnzVqlVnz54NPj6JBwBAH+qsIirh6N69e1tbmzUtEz169PBa8vTp01u3bi0rK5s/f77yo26+NO49AABmo84qohKOIO9gOTU2NiZcxonEAwCgD3VWEZVwBPkMllNTU1NRUVHw8Uk8AAD6UGcVUQlHTU2N118R2jmrqKhoaGg4c+bMzp07x40bN2/evODjk3gAAPShziqiEo729vYFCxbEOlVWVjq/B8vO2YYNG0aMGNG7d+8hQ4ZUV1e3trYGH5/EAwCgD3VWYUo4SDwAAPpQZxWmhIPEAwCgD3VWYUo4SDwAAPpQZxWmhIPEAwCgD3VWkc3h4ItGAQDIDOqswpRwkHgAAPShzipMCQeJBwBAH+qswpRwkHgAAPShzipMCQeJBwBAH+qswpRwkHgAAPShzipMCQeJBwBAH+qswpRwkHgAAPShzipMCQeJBwBAH+qsIpvDwReNAgCQGdRZhSnhIPEAAOhDnVWYEg4SDwCAPtRZhSnhIPEAAOhDnVWYEg4SDwCAPtRZhSnhIPEAAOhDnVWYEg4SDwCAPtRZhSnhIPEAAOhDnVWYEg4SDwCAPtRZRTaHgy8aBQAgM6izClPCQeIBANCHOqswJRwkHgAAfaizClPCQeIBANCHOqswJRwkHgAAfaizClPC0Q0AAOh0vkt9tBAOVQZOkcychRxIpDaRma1kxyYysxUOJGpb4UAitYmMbSWLET4V10akNpGZrXAgkdpEZrbCgURtKxxIpDaRsa1kMcKn4tqI1CYysxUOJFKbyMxWOJCobYUDidQmMraVLEb4VFwbkdpEZrbCgURqE5nZCgcSta1wIJHaRMa2ksUIn4pTKmrISKSQjqghI1FDRmDhPFBxbUQNGYkU0hE1ZCRqyAgsnAcqro2oISORQjqihoxEDRmBhfNAxbURNWQkUkhH1JCRqCEjsHAeqLg2ooaMRArpiBoyEjVkBBbOAwAAgJDRYAEAAISMBgsAACBkNFgAAAAho8ECAAAIGQ0WAABAyGiwAAAAQpblDVZ7e/vChQtjsVhBQUFVVZW8tOZ3+6z8/Pzg63rNRxBe0du7d+/NN98c6yQT8jL4umQkZV6hO378+MyZM/v27VtYWLhs2bKk1iUdabLvS86ZQaJKRjSJmxGf+TYyYrgsb7BWr149cuTI9zrJxJo1a9zLrFy58qGHHgq+bpAx4cUreqNHj66urj7eadGiRfIy+LpkJGVeoZs1a1ZFRcWhTlOnTn322WeDr0s6QqGU7SBRJSNaeTVSPg0WGTFcljdYUqfr6+utaZkoKytTFjhz5szgwYMPHDhgz7GvFq91E44JH17Ry83NPXXqlDV98uRJeWmvQkb08Qpdv379Dh8+bE1Lj1VeXm6vQjoyQynbPlElI5kRvMEiI7BkeYOVn5/f3NxsTR85ciQWiykLyKPD7NmznXPsa8Nr3YRjwodX9O68886lS5eeOHHi+PHjixcvlpf2KmREH6/QSYMlL61p6bScISUdmaGUbZ+okpHMSKHBIiOGy/IGq3v37m1tbda0TPTo0cP503Pnzn3xi1/cuXNnUuv6jwl/XtE7cODAwIEDrQ80yMQHH3wQfF0ykjKv0M2YMWP69OmHO9111109e/YMvi7pCIVStoNElYxolcKvCMmI4bK8wfJ/UFi3bt0tt9yS7Lo8fKTDK3rjxo1btGiR/RkseRl8XTKSMq/Qffjhh9JXFRQUFBUVPfLII5deemnwdUlHKIK/g5VwGTISihQaLDJiuCxvsPx/1f3Vr3719ddfT3Zdfn2eDq/o9enTx+szWAnXJSMpCxK6p556Spqt4OuSjlAE/wxWwmXISChSaLDIiOGyvMGqqanx+mONjRs3fv3rX3evYl8tXuv6jImEvKInd5zFixdb72A9/PDDcT/DS0ZC5xW66dOnNzU1SS7Wrl07YMCAd955x16FdGSGUrZ9okpGMiOFz2CREcNleYPV3t6+YMEC69uVKisrnV83Ul5eXldX517Fvja81vUZEwl5RW/Pnj0TJ078fKdJkya9++679ipkRB+v0NXW1paUlOTm5o4fP3779u3OVUiHbsq39FkzfaJKRnSLmxH/+dYEGTFcljdYAAAAmUeDBQAAEDIaLAAAgJDRYAEAAIQsyxusTZs2jR07Nicnp7i4eM6cOUePHrXmJ/t/cHqN4xb3v/9Mc3WxY8eOCRMm5OXllZSU1NbWphAKAACQMVneYI0fP76+vr6lpeXw4cNz586dPHmyNT/Z/4PTaxwvSoeU5uq7d+8eMGDA888/f+zYscbGxmnTpgWPAAAAyLwsb7CcTp06lZeXZ02n8/1vznG8+Hz1XAqrS0f15JNP+q8CAACiw6AGq66ubsyYMdZ0Ov+DgXMcLz4NVgqrFxUVLVmypLi4uG/fvjNnzjx+/Lj/6gAA4PwypcHavn374MGDd+/ebb1M+f/gVMbx4tVgpba67Mbdd99t/c+7FRUVs2bN8l8dAACcX0Y0WJs3by4tLd2yZYs9J7V3sNzjeH0mPW6DlfLqsleyM9a09FiFhYUJDhgAAJxX2d9grVu3rqSkZNu2bc6ZKXwGK+44Xtw9Uzqrl5eXS19lTR86dIgGCwCAiMvyBmvFihWlpaW7du1S5if7f3B6jeNF6ZDSXL22tnb69On2rwhnz54dcBwAAHBeZHmD1c2lpaWlI/n/g9NrnIRbDGV1sXTp0sLCwoKCghkzZvAhdwAAIi7LGywAAIDMo8ECAAAIGQ0WAABAyGiwAAAAQkaDBQAAEDIaLAAAgJDRYAEAAISMBgsAACBkNFgAAAAho8ECAAAIGQ0WAABAyGiwAAAAQkaDBQAAEDIaLAAAgJDRYAEAAISMBgsAACBkNFgAAAAho8ECAAAIGQ0WAABAyGiwAAAAQkaDBQAAEDIaLAAAgJDRYAEAAISMBgsAACBkNFgAAAAho8ECAAAI2f8B6YAc7hS767UAAAAASUVORK5CYII=)
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