Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit309-01-20020628_165100_20020628_213900-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/06/28 |
Start Time | | 2002/06/28 16:51 |
End Time | | 2002/06/28 21:37 |
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 | | -31.51 |
Dipole Tilt, in Y-Z GSE plane, deg | | -4.17 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 141.90000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit309-01-20020628_165100_20020628_213900-constBx0 |
Minimum Dst Value | | 15 |
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-10 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAU2F0IE1hciAxNiAwNTo0NzozMyBFRFQgMjAxORF+ktQAAAHMdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQzMDktMDItMjAwMjA2MjhfMjE0MDAwXzIwMDIwNjI5XzAyMjgwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIEdPRVMtMTAgdHJhamVjdG9yeS4iLCAKICAgICJ4YXhpcyI6IHsgImxhYmVsIjoiIiwgIm1pbiI6IjIwMDItMDYtMjhUMjE6NDA6MDAuMDAwWiIsICJtYXgiOiIyMDAyLTA2LTI5VDAyOjI2OjAwLjAwMFoiLCAibGVmdCI6NzgsICJyaWdodCI6NzIyLCAidHlwZSI6ImxpbiIsICJ1bml0cyI6IlVUQyIgfSwKICAgICJ5YXhpcyI6IHsgImxhYmVsIjoicmhvIiwgIm1pbiI6Mi43NjQ4OTQ5OTk1LCAibWF4Ijo3LjQ2MjAwNTAwMDUsICJ0b3AiOjUyLCAiYm90dG9tIjoyMzUsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiIiB9CiAgfQogXX3k9a32AAAABGdBTUEAAK/INwWK6QAAIWNJREFUeJzt3X9wFPX5wHGUX4G0fBOIxESCYJpWOkKrow6WgICAIlXRdmgQEojU0iqMtFXBQqC0BdpOYayDoqWx4wzKDzuY0aIdp5V2tFYGy1CpQaDKLy3hZ4SgAQTyfSY73+1+73b3du/2js/d8379wext9tfzeXb3ee6y4Tq0AQAAIFIdLvQBAAAA5BoaLAAAgIjRYAEAAESMBgsAACBiNFgAAAARo8ECAACIGA0WAABAxGiwAAAAIkaDBQAAEDEaLAAAgIjRYAEAAESMBgsAACBiNFgAAAARo8ECAACIGA0WAABAxGiwAAAAIkaDBQAAEDEaLAAAgIjRYAEAAESMBgsAACBiNFgAAAARo8ECAACIGA0WAABAxGiwAAAAIkaDBQAAEDEaLAAAgIjRYAEAAESMBgsAACBiNFgAAAARo8ECAACIWG42WB065GZcAJBW6bh5vvnmmxUVFQm3nI5dUwtwAeXmyed1UXGxAYCPdNwkKysr169ff0F2zT0/QgxmWLk5XmHfKm3YsGHYsGFdu3YtKSmZMmVKU1OTNf/8+fMPP/xwQUFBYWHhnDlz5KU1v7m5uaampmfPnkVFRQsWLPDai9fqr7zyysiRI/Py8mR306ZNO3LkiOvqXot5bTbs7ryWF1u3bh0zZkx+fn5paWl9fb3/dt5///2vf/3rBe1kQl76jLxP7B3+T/xahw8fLisrc/4o7CD4BJu9Ix/wPEzuIMOmO5KRT4eYM8o+zS666KLi4uKqqqr9+/f7rJ7E8R84cOC+++7r169f586dZa1bbrlF7jCuBxMzUya+/OUvO3ch0wMGDHAuYP9o+/btd911l2S/S5cu11577fPPP2/N//jjj+U4KyoqunXrJnu/4447/vSnPyU85viDSXqBeD169Dh16lTqu05CunsCn1yLbdu2jR079nPtZOKdd95xHlgMa36o9LneM4OcsZlslTS3ZbkZedh7xIgRI+QNlpSrEydOLFy4UOqKNf/JJ5+85pprPmgnEytXrrTmT506Ve7LTe0mTJjw9NNPu+7Fa/XRo0e//PLLLS0tBw8enD59+rhx41xX91rMa7Nhd+e1/I4dO6SbWbVq1bFjx/bu3Ttx4kT/7dxwww1z585tbvfII4/IS5+RTxi7a+7kFrZ48WLnj8IOgtf8rB75gOdhcgcZNt2RjHw6xDdY1sS5c+c++uijH/7wh5WVlT6rhz3+Dz/88PLLL5fNNjY2fvrpp9KYvvTSSzfffLPrwcTMlAlplV588UX7Ry+88ILMiW+wdu7cKd3hr371KzlPpHd56623vvGNb1g/kn3de++9ssDp06cPHTq0du3aG2+80f+YXQ8m6QWSXiXrGiz/XO/ateuSSy5ZunTpgXbLli2TlzLT/8CSSF/MpoKcsTRYmZFlkcut5IEHHihuJxP2uyJJoZy+ffr0kXel1stf/OIXvXv3lrd3999/v5yp9mJt//+tQ/wupKJ0797dmpbiITXGmpaJIUOGWNO9evWSqmNNS23zukF7re4kLV1+fn7CwJ2LeW027O68lpe6vnz58uDHI8MlL63p48eP26MXKihbfFLk5lVeXt7a2ur8UdhBCDI4CQ/StJEPeB4md5Be873SneLIf/bZZ3V1dX379pV33tI3WDN9rvcVK1ZIbcvLyxs8ePC2bdus+fJe/+qrr5aZ8iOrrsRf7DEn2Mcff9ytWzeZ+O53v+vsUOvr62WO//G73kDuuece6TtdY/RaxXls69atc+5Conv++efjD/7uu+/+2c9+5roLCUeC8joA5059bpJtHoPvf/MMu0r8fds1rV6ngZO8OZEWU2Lp0aPHnXfeefjw4SDh+O9UTgDZoCwvA5VEridNmhTzufL8+fMnT54cc2AxAqbPKWZTCa8414vCmYiEgylvTn7605/269evsLCwtrb25MmT1vz4qzh+X0GK+NChQ1evXm0fsLyLKCkpCTssJsiyBkuSN2rUqP3tRowYIeerNV9yc8cdd8j7UfulLPZhO5n48Y9/bM+PmYghJ8qSJUvsN+tyetnnlryZkJPGmpbCJi+taalw9vwYXqs7NTQ0DB8+PGHgzsW8Nht2d17Ly3kv4ywntFxgNTU1zc3N/tv55je/KYmQs1+WnDdvnrxMGE78Rmzxqbn11lufffbZmB+FHYQgg5PwIE0b+YDnYXIH6TXfK90pjry0C7KLf//738eOHZs1a5Y10+d6Hz9+/O7du+WCXbhwoV1CZOh+//vfyy1b7sjTpk2zF3buyFkkDhw4MHv2bOsTAukwhg0btnbtWples2aNTJ85c8b/+F1vI3IMUp9cY/RaxXlfkqOqqKj429/+Ji83btwo0zIn/sYlp4rX7+LHjh07YcKEN95449NPP/U6jLYAN0mfwffaZthV4u/brmn12qzToEGDXnvtNQlZzswZM2Z8+9vfDh6O607l3JaR/KjdmDFjksi15EjOZ+cceXnppZf6j0nA9DnFbCrIFRd/UTgTkXAwly5detNNN33wwQdytUrL+IMf/MCa73oVx+wrSBH/4x//OGDAADnzrR/Jtfzzn/884GgYJcsarCuuuOLdd9+1puWtRnl5uTUtudmzZ4+9mLy0F/vXv/7lXCxmwsnqsuUtnf0p7sUXX2zdZIVMdOzY0Zqurq6WdycH28lbyU6dOrkerdfqti1btvTv39/nEnVdzGuzYXfntbxMyDVjRVdVVTV16lT/7Vifk1ujJxP2VRoqKFtMal599dXrr7/eeozA+aOwg5BwcIIcpGkjH/A8TO4gveZ7pTvFkf/CF75gf3hg87nepTeypj/55BPrIyhRVlb22GOP7du3z7mR+FriJG/B5RZh/aipqUkinTNnjvxrP4gZ9syRLDhLY/xHBfGrxPz0qaeeuv3229vaf1v0m9/8Jn4Bay+tra2uB3D8+HGpYV/5ylfy8vJkAB988EHXt/4Jb5I+g+8Ve9hV4u/brmn12qwXGYE+ffoED8drp9u3b7emZUXXEPxzLadKTI5kYfsi7RDHPvgg6XOKObYgZ2z8ReFMhJPrYF555ZXvvfeeNS1XitwHrGnXqzhmXwGL+HXXXWe9r965c6ccgKTG9fAMl2UNlpxz9ikrE/LSmpbcOB/lk5dei8VMxJCTacGCBUOHDrVeer0VOHr0qNQzuTXLe5RFixY535Q4LxX/dxLy9rRv376bNm1yHrZzda/FkvuoINR2nJ+LFBUV+W9H3o488sgj9kM58rItkfiNOAfB+XLgwIGvv/56/I8y8AmW+SPvdR66CnuQXvO90h12cGLOduelbfO53p2L2S//8Y9/jB8/vlevXhUVFfZvSbwWto5n7ty59jOXbe2/xJEF7N9RJhy3eJIFn7cNnTt3jvkNl8QlFdG5mCxQUlLy3HPPyb/2b9lituPzCZZNbonSOU2ZMsX1Kc+EN8mAg+8UdpX4+3bMT/0367R582bJo1wL1klldxVhw3Eub2cq5vkEm3+u5b16Ep9g2eLT51og4jeV3CdYzkQkHExpQ52toX0Cu17FMfsKWMQbGhq+9KUvnT17duLEifKuKT6ErJBlDVbAd0jON2cyEb+Y9ZtmV9JjJXxWxunxxx+XIue6KZ/V16xZU1pa+vbbb3sdhs9iSTzsEmo7lZWVzid7nGXedTtysYV6Bss/9vhUur7PS/czWFkx8k4+52FyB+k13yvdKY68tEShPsFyLhbzUm7Tf/jDH+xKFnOxxywssdgfWmzdulXeK69fv/6yyy6zP8YOe+ZIRZwzZ07MTHunAwYMeOutt5w/+vvf/96vX7+YxZYsWdKpUyf71yLxDZbkevHixf5HYpE++POf/3z8/IQ3Sa/B97l5JvEJVpCXQT7BkpnPPPOMvOWQkiz/xo9Y2HMpyCdY/rmWziD+GaxJkya57teLV/pc92gJcsb6XxQJB1Nan927d8dv1vUqjtlXwETIVSzvrh966CG5OuwHBLNOljVY8nbT/vWttNjz5s2z5sdfJGPGjLEeL5CJ+EcBLrnkksbGRnv56upqeXnmzJl9+/bNmDHDfsewYsUK1z/HkItEDkBO/dWrV5eVldkflsbwWn3p0qV9+/a1r14vXot5bTbs7ryWr6+vt3/xVFVVVVtb678duZ4lEdZHGj/60Y/8K1DC2H3uO84fhR0Er/mhDtK0kQ94HiZ3kGHTneLIL1q0aPjw4e+//77z6Y3g17s1IYMm9265HUuDJa2hNTPmYneue+TIkbq6usGDB7e1P38pN/S//vWvMv3iiy9effXV1m9/fI7f9Vzds2eP7Nr+yzIJ56WXXrKXlD5Y9vKXv/zleLuNGzdeddVVv/zlL3022ObWYO3cuVM6yGXLlsnInDp1atOmTfZfEd54441r166VBl1uaHLM06dPHzt2rOs2/W+SXoMfM55OAfPlNYBeL7026ySj8cILL8hQyCkkQxE/YmHPJVnefgbr5ptvTiLXcj3KeyTJkf1XhPLS/sTLa0wCps9n3IJccT4XRVuAwXz00UdlMGULcq2988473/rWt6z5rldxzL6CnyTyBk9m/va3v/UJ1nDZdKxt7Z8ozpw50/oDBJmwP2mMv0isP5ApLCz83ve+5/w7BWtCikdBQYH9ct26dYMGDerSpYtUKTmhpWe35ksTLR209V/+zJ492/4AUwqhXFfy3n306NFbtmzxOlqv1eM/lWlpaYlf3Wsxr82G3Z3X8m3t77TkXiCjJ62n/ai113bkXn/LLbf8Tzu5F8R8Kh4wqPgfua6bcGzDzg91kKaNfMDzMLmDDJvuFEdeyom0a3369JHYpRRZM4Nf79aENJry3jovL0/ao9dee82aGXOxOyPq2bPn7bffboVQU1NjPfBkkWOwGlyf43c9S9va/+jpnnvukdR06tSpV69ed95555tvvmmPxu9+97trr73WGkCZeOaZZxJusENchWtr/+ta2bIcldy4rrvuOvv/wfrzn/8s82UYZRz69+9///332ze0mG363yS9Bj9mPJ0C5ssrXq+XXpt12rBhg6S+c+fO8q7gscceix+xsOeSLPCd73xHBkeG6Cc/+Yls2TUEn1yLf/7zn3Kx5LeTLm3r1q3OHbne8QKmz3Uj1swgV1z8RRFqMM+dOyfzr7zyyq5du8obhoaGBmu+61Ucs6/gJ4mc0hUVFZ999llMyF6jYaBsOlYAQCSyq1BdWNInSa9zoY/iAjt79qz/n9FE7rbbbnvuuecyucfIcY0BgDo0WAnNmjXrwIEDe/bsuemmm77//e9f6MO5wDZv3mz/tWC6nTt37qmnnho4cKD9PzVkKa4xpEX8B+AG3tCz4iDDysmgEDnOioQeffTRPn369O7d+957783S/yYgQp/73OeeeOKJzOxLTs5+/fpJS5eZ3aUP1xgAAEDEaLAAAAAiRoMFAAAQMRosAACAiNFgAQAARIwGCwAAIGJaGizXv10HAAAZdqE7ggxRE6eajAIAYCw95VhNnGoyCgCAsfSU41yOU+dnkgAAGEtPOVYTp5qMAgBgLD3lWE2cajIKAICx9JRjNXGqySgAAMbSU45zOU6ewQIAwCh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnKcy3HyDBYAAEbRU47VxKkmowAAGEtPOVYTp5qMAgBgLD3l2PQ4Y37N16NHj6S3E+2BAQCAsPSU42yKc9myZQ8++GDw5XkGCwAAo+gpx1kT5+nTp/v37//hhx8mt7qejAIAYCw95Thr4ly5cmVtbW3Sq+vJKAAAxtJTjrMjznPnzn3xi19sbGz0X6yDr8wcKgAA8KKnHGdHnGvWrLnttttS2YKejAIAYCw95Tg74vzqV7/6xhtvpLIFPRkFAMBYespxFsS5YcOGr33ta/HzQyVJT0YBADCWnnKcBXFWVlY2NDTEz0+YJJ7BAgDAKHrKsZo41WQUAABj6SnHauJUk1EAAIylpxyriVNNRgEAMJaecpzLcfIMFgAARtFTjtXEqSajAAAYS085VhOnmowCAGAsPeVYTZxqMgoAgLH0lONcjpNnsAAAMIqecqwmTjUZBQDAWHrKsZo41WQUAABj6SnHauJUk1EAAIylpxzncpw8gwUAgFH0lGM1carJKAAAxtJTjtXEqSajAAAYS085VhOnmowCAGAsPeU4l+PkGSwAAIyipxyriVNNRgEAMJaecqwmTjUZBQDAWHrKsZo41WQUAABj6SnHuRwnz2ABAGAUPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjtXEqSajAAAYS085zuU4eQYLAACj6CnHauJUk1EAAIylpxyriVNNRgEAMJaecqwmTjUZBQDAWHrKcS7HyTNYAAAYRU85VhOnmowCAGAsPeVYTZxqMgoAgLH0lOMsiHPr1q1jxozJz88vLS2tr69PbiN6MgoAgLH0lGPT49yxY0dZWdmqVauOHTu2d+/eiRMnBl+XZ7AAADCKnnJsepzSUS1fvjz17ejJKAAAxtJTjk2Ps7i4uK6urqSkpGfPnjU1Nc3NzcltR09GAQAwlp5ybHqcHTt2nDx58sF2VVVVU6dO9Vm4g6+MHTMAAHClpxybHmePHj0OHTpkTUuPVVRUlNx29GQUAABj6SnHpsdZWVkpfZU13dTURIMFAED20lOOTY+zvr5+0qRJ9q8Ia2tr7R+FSpKejAIAYCw95TgL4pw/f35RUVFhYWF1dbXzIfeESeIZLAAAjKKnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxmjjVZBQAAGPpKce5HCfPYAEAYBQ95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTznO5Th5BgsAAKPoKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yrCZONRkFAMBYespxLsfJM1gAABhFTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOOczlOnsECAMAoesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5ynMtx8gwWAABG0VOO1cSpJqMAABhLTznOXJytra3z5s0rLy/Py8uTf+fPn3/q1KmM7V1PRgEAMJaecpy5OGfOnDly5Mht27ZJpyX/jhgx4oEHHsjY3vVkFAAAY+kpx5mLs7i4eP/+/fZLmZY5ad0jz2ABAGAUPeU4lxssJz0ZBQDAWHrKcUZ/RThq1Kh33323tbVV/pVpfkUIAIAqespxRh9ynzt37hVXXJGXlyf/1tXV8ZA7AACq6CnHuRwnz2ABAGAUPeVYTZxqMgoAgLH0lOPMxblt27YhQ4Z069btgnyqpCejAAAYS085zlycgwcPXrhw4SeffBJqrah+zacnowAAGEtPOc5cnHl5eSdPngy7VopNFc9gAQBgDj3lOHNxXn755bt37w67VlSZ0JNRAACMpaccZy7OJ554Yvz48QcOHAi1lmSiqKioe/fuV1111a9//euzZ88mt3c9GQUAwFh6ynF64+yQSMDtnDp1avPmzUOGDJk1a1bSu4siIAAAkDw95Tib4ty7d29BQUFy6+rJKAAAxtJTjjMX50UXXZTiFlL5+kI9GQUAwFh6ynHm4rzsssv+85//hF2rqqpq27Ztp0+fbmxsHDVq1MyZM+0fhUqSnowCAGAsPeU4c3EuW7bsrrvu2rNnz/nz54OvtW7dukGDBnXt2rW8vHzu3Lmtra32jxImiWewAAAwip5ynNH/S/0CPniuJ6MAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSU41yOk2ewAAAwip5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHOdynDyDBQCAUfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95TiX4+QZLAAAjKKnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxmjjVZBQAAGPpKce5HCfPYAEAYBQ95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTznO5Th5BgsAAKPoKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yrCZONRkFAMBYespxLsfJM1gAABhFTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOOczlOnsECAMAoesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHGdHnIcPHy4rKwubFX5FCACAUfSU4+yI87777lu8eHEqWdGTUQAAjKWnHGdBnI2NjeXl5a2trTRYAABkNT3lOAvivPXWW5999tm21LKiJ6MAABhLTzk2Pc5XX331+uuvP3/+fFuArHTwlZHjBQAAnvSUY9PjHDhw4Ouvv25N8wkWAABZTU85Nj3OqD6I0pNRAACMpaccZ1OcMVkJlSQ9GQUAwFh6ynE2xRm2weIZLAAAjKKnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxmjjVZBQAAGPpKce5HCfPYAEAYBQ95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTznO5Th5BgsAAKPoKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yrCZONRkFAMBYespxLsfJM1gAABhFTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOOczlOnsECAMAoesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5ynMtx8gwWAABG0VOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSU41yOk2ewAAAwip5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHOdynDyDBQCAUfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzk2Pc4NGzYMGzasa9euJSUlU6ZMaWpqCr4uvyIEAMAoesqx6XGOGDFi/fr1zc3NJ06cWLhw4ciRI5Pbjp6MAgBgLD3lOJvibGlp6d69e3Lr6skoAADG0lOOsybOkydPLlmyZNy4ccmtriejAAAYS085zo44rYeoevfuvWvXroSLecnY0QIAAFd6ynHWxHn8+PEFCxYMHTo0udX1ZBQAAGPpKcfZFKf0WPn5+cmtqyejAAAYS085Nj3O6urqxsbGM2fO7Nu3b8aMGc5nsEIlSU9GAQAwlp5ybHqc69atGzRoUJcuXcrKyqZPn3706FH7RwmTxDNYAAAYRU85VhOnmowCAGAsPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjnM5Tp7BAgDAKHrKsZo41WQUAABj6SnHauIEAAAGuNAdQYZoiTOIzGQ9A3vJmUByaS85Ewh7MXAX7MXAXbAXMGT/lTOnac4Ekkt7yZlA2IuBu2AvBu6CvYAh+6+cOU1zJpBc2kvOBMJeDNwFezFwF+wFDNl/5cxpmjOB5NJeciYQ9mLgLtiLgbtgL2DIMo3T1EAkxUAkxUAkxUAkxVgkJtO4GAxEUgxEUgxEUgxEUoxFYjKNi8FAJMVAJMVAJMVAJMVYJCbTuBgMRFIMRFIMRFIMRFKMRWIyjYvBQCTFQCTFQCTFQCTFWCQGAAAgYjRYAAAAEaPBAgAAiBgNFgAAQMRosAAAACJGgwUAABAxGiwAAICI0WCl5JVXXhk5cmReXl5JScm0adOOHDniP9/p/PnzDz/8cEFBQWFh4Zw5c+Sl/3wE5DX4GzZsGDZsWNeuXWX+lClTmpqa4tclKWmSysCSlDTxGcAO/yfsuiQlRV4DSE3JRjRYKRk9evTLL7/c0tJy8ODB6dOnjxs3zn++05NPPnnNNdd80E4mVq5c6T8fAXkN/ogRI9avX9/c3HzixImFCxfK3Sp+XZKSJqkMLElJk4QD6NNgkZQ08RpAako2osGKjJTt/Pz8hPPte9YNN9wgF4w1LRNDhgzxn48keCVF7lPdu3e3X5KUdEtiYElKuiUcwPgGi6SkW5ABpKZkCxqsyDQ0NAwfPjzhfPti6NGjx+HDh63pQ4cOFRQU+M9HElyTcvLkySVLljjfApKUdEtiYElKuiUcQJ8Gi6SkSZABpKZkCxqsaGzZsqV///47duwIOF9cfPHFZ86csaZlomPHjv7zEZbr4FtPlvTu3XvXrl3xq5CUNEllYElKmiQcQJ9fEZKUNEk4gNSULEKDFYGNGzf27dt306ZNAedbeLeRVj6Df/z48QULFgwdOjT+RyQlTVIZWJKSJkl8gpVwXZKSIv8BpKZkFxqsVK1Zs6a0tPTtt98OON/G78vTJ+HgS4/l+mwWSUmTVAaWpKRJEs9gJVyXpKTIZwCpKVmHBislS5culfcT27dvDzi/zXHPWrFihetfdnjNR0Beg19dXd3Y2HjmzJl9+/bNmDHD9RkskpImSQwsSUm3hAPo8wwWSUkTrwGkpmQjGqyUdIjT0tLiM7/NcTGcP3/+oYceKmg3e/Zs5/9Z4jofAXkN/rp16wYNGtSlS5eysrLp06cfPXrUuYo1QVLSJImBJSnp5j/4Ts75/uuSlBR5DSA1JRvRYAEAAESMBgsAACBiNFgAAAARo8ECAACIGA0WgLTz+qrasF9PG+Qrb31WF1u3bh0zZkx+fn5paWl9fX2oo21ubq6pqenZs2dRUdGCBQuiGBgAOYsGC0DaeX1Vbdivpw3ylbc+q+/YsaOsrGzVqlXHjh3bu3fvxIkTQx3t1KlTq6qqmtpNmDDh6aefjmp8AOQeGiwAGeX8qtpU/mtEr2/y9lldOqrly5cnfbS9evWSlsualh6rsrIy1KYAqEKDBSCjnF9Vm8qXe3h9vbrP6sXFxXV1dSUlJT179qypqWlubg51tNJgydasaem0+MoRAD5osABkTsxX1Sb99bQ+X3nrs7pMTJ48+WC7qqqqqVOnhjra6urqSZMmWavffffdnTp1Ch44AG1osABkSPxX1Sb3CVb8dmL+z3GfzTo/gioqKnJd3WsvR48elb6qsLCwuLh40aJFl156adJDASDn0WAByATXr6pN4hmshF9567N6ZWWl8yEqu8EKeLROjz/+uDRbPscAQDkaLABp5/VVtWG/ntbnK2+DbLa+vt7+HV9VVVVtbW2oo5V19+/f39zcvHr16rKysvfeey/UIABQhQYLQNp5fVVt2K+n9fnKWyefb7edP39+UVFRYWFhdXW110PuXnuR/qy0tLR79+6jR4/esmVLtEMEIMfQYAEAAESMBgsAACBiNFgAAAARo8ECAACIGA0WAABAxGiwAAAAIkaDBQAAEDEaLAAAgIjRYAEAAESMBgsAACBiNFgAAAARo8ECAACIGA0WAABAxGiwAAAAIkaDBQAAEDEaLAAAgIjRYAEAAESMBgsAACBiNFgAAAARo8ECAACIGA0WAABAxGiwAAAAIkaDBQAAEDEaLAAAgIjRYAEAAESMBgsAACBi/wtMG2UITCDYXAAAAABJRU5ErkJggg==)
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