Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit382-02-20021219_154100_20021219_202600-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/12/19 |
Start Time | | 2002/12/19 15:41 |
End Time | | 2002/12/19 20:24 |
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 | | 14.25 |
Dipole Tilt, in Y-Z GSE plane, deg | | -3.99 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 186.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit382-02-20021219_154100_20021219_202600-constBx0 |
Minimum Dst Value | | -71 |
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 IMP-8 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAV2VkIEphbiAwOSAxNzoyNTo0MSBFU1QgMjAxOZBgRAAAAAHLdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQzODItMDMtMjAwMjEyMTlfMjAyNzAwXzIwMDIxMjIwXzAxMTIwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIElNUC04IHRyYWplY3RvcnkuIiwgCiAgICAieGF4aXMiOiB7ICJsYWJlbCI6IiIsICJtaW4iOiIyMDAyLTEyLTE5VDIwOjI3OjAwLjAwMFoiLCAibWF4IjoiMjAwMi0xMi0yMFQwMToxMDowMC4wMDBaIiwgImxlZnQiOjc4LCAicmlnaHQiOjcyMiwgInR5cGUiOiJsaW4iLCAidW5pdHMiOiJVVEMiIH0sCiAgICAieWF4aXMiOiB7ICJsYWJlbCI6InJobyIsICJtaW4iOjMuNTk3ODc5OTk5NSwgIm1heCI6MTUuNDQ5NzIwMDAwNSwgInRvcCI6NTIsICJib3R0b20iOjIzNSwgInR5cGUiOiJsaW4iLCAidW5pdHMiOiIiIH0KICB9CiBdfYeUQTQAAAAEZ0FNQQAAr8g3BYrpAAAgNElEQVR4nO3dfXAU9RnA8chrgDZNgEKDBIiUVjqFVkYd0gACAoL4gtZarAIqtWkRR9vKmwQobYW2UxjHaQVLaceZooAdzGiBjmOlHa2VkTK21FAQ5EUtgaC8BA2NkvSZ7HRnudvd27373fHLPd/PH8zeZm/39/ye3X2eu1y4ghYAAAAYVXChBwAAAJBvaLAAAAAMo8ECAAAwjAYLAADAMBosAAAAw2iwAAAADKPBAgAAMIwGCwAAwDAaLAAAAMNosAAAAAyjwQIAADCMBgsAAMAwGiwAAADDaLAAAAAMo8ECAAAwjAYLAADAMBosAAAAw2iwAAAADKPBAgAAMIwGCwAAwDAaLAAAAMNosAAAAAyjwQIAADCMBgsAAMAwGiwAAADDaLAAAAAMo8ECAAAwjAYLAADAMBosAAAAw2iwAAAADFPaYBUUKA0cADKRjZvnK6+8MmjQoJR7zsahqQXIHqXnVtBFxcUGACGycZMcMWLEpk2bLsihuec7mIdsUDqncV8qbd68edSoUZ07dy4tLZ0xY0ZdXZ2zfv/+/dddd11xK1mQh876rVu3jh07trCwULafOXPm8ePHfY/S3Nw8d+5ceW5JScn8+fPlYfjhEgQdJWi3QetDRlvwf1GOG7T9iRMnpk+f3r179549ey5ZsiRgytMMKmj7gvMVFRWlNzltYubjjsdXyMa+g4k7SCMznw0J43eDuuiii3r37j116tS333475OlpjP/IkSOzZs0aMGBAx44d5VkTJ06US953MAkrZeELX/iC9xCyPHjwYO8G7o9279598803y3XXqVOnyy+//Omnn3bWnzx5UsY5aNCgLl26yNFvvPHGF154IeWYkweT9gbJ5PI8e/Zs5odOQ1Ybi1iJc8gpJ3fLoJIRVHF8D5oDtGXhlM5O3HvEmDFj5AWWNAqnT59eunSp1A9nfUVFxcKFC0+0WrBggTx01o8fP37Lli0NDQ1Hjx6tqqqaPHmy71FWr149bNiwt1rJwpo1a8IPlyDoKEG7DVqfcrQJsxF3+zvvvFOqVF2rW2+99Te/+Y1vOOkFFWWqV65c+eCDD6Y3OUYGme2ZjzseXyk3jvi+r6nJyZnkBstZOHfu3Lvvvvv9739/xIgRIU+PO/533nmnf//+stva2toPP/xQSulzzz13zTXX+A4mYaUsSKv07LPPuj965plnZE1yg7V3714p1T//+c8PHTokvcurr7761a9+1fmRHOuee+6RDf773/8eO3Zsw4YNV111VfiYfQeT9gZpP6VNN1gREyenx9e+9rVvfOMbvjsMqji+B80BGqxw+TY7ciu5//77e7eSBfdVkZwHUmX79u0rr0qdhz/96U979eolL+/uvfdeudG4m7Wc/+ZH8iGkcnTt2tVZlgXpgZzlU6dOueu9ZINu3br5jlYuDylFzrIsVFZWhh8uhPcoQbuNcjjf0YZcRVG279Gjh9RaZ1l6rPByFbTztAcvyS0vL5fbVvh+ouw/7UHmbOYjjsdXyo3T+MW6qckRH3300aJFi/r16yev3aVvcFaGXO+rVq2SPqawsHD48OG7du1y1r/wwguXXXaZrJQfOZ1Q8sWeEM7Jkye7dOkiC9/+9re9rw3Wrl0ra8LH7zszd999t5TGoBlL2WBt3LjRewiJ7umnn04evFToH//4x76HkHAkqKABeA8acpNsCZj88Jtn3Kck37d90xp0Gnjt2bNHWkyJpaio6Kabbqqvr48STvhB5QSQHcr2MlGmEifkbin3zOS9tUSoOL7ns3cOU86DvK740Y9+NGDAgJKSkrvuuuvMmTPO+uQLMPlYUervyJEjn3rqKXfA8gKgtLQ0ygnZFuVbgyVnwLhx495uNWbMmMWLFzvrJcE33nijvB51H8pm77SShR/84Afu+oSFBHK2LV++3H1Rfsstt8gh5OSQ1xPV1dXyMPkpNTU1o0eP9t2bnOLu+S0vJeXEDT9cCO9Rgnab8nBBow2poFG2l5uFHM5ZlnuH73FT7jztwUsdlduE+zCTyUl7kDmb+Yjj8ZVy4zQaLFOTI6RdkF3t27fv/ffff+CBB5yVIdf7lClTDhw4IFfQ0qVL3cImt/Lf//73ct+X2/rMmTN9x++tNEeOHJk3b57zBo90GKNGjdqwYYMsr1+/XpabmprCx+87MzIGKXJBM5ayTsuoBg0a9Ne//lUebtu2TZZlTfKNSyqc7++PxKRJk2699daXX375ww8/DBpGS4SbZMjkB+0z7lOS79u+aQ3ardfQoUNffPFFCVlu17Nnz/7mN78ZPRzfg8oNX2by3VYTJkwwlbiW0AYrSsVJPp+9c5hyHlasWHH11Ve/9dZbcqHdcccd3/ve95z1vhdgwrGi1N8//vGPgwcPltidH8ll+JOf/MQ32DyQbw3WJZdc8sYbbzjL8lJj4MCBzrIk+ODBg+5m8tDd7F//+pd3s4QFL6dVl5d0b775prPGebffWS8L7kns2rlzZ3l5edD9tF27ds49WshC+/btww8XJOEoQbsNP1zIaINufxG3nzZt2u233360lbyw7tChQ3g4sYIKH4xcxp/73Odqa2vdNWlPTiaDzNnMx500r5Qbx22wTE2O47Of/az75oEr5HqX3shZ/uCDD5y3oERZWdmjjz56+PDhkPEXnE9ex8stwvlRXV2dRDR//nz51/1kZNwzR85/b2eT/H5D8lMSfvr444/fcMMNLa2/7PvVr36VvIFzlMbGRt8BnDp1Sgrhl770pcLCQpnABx980Pf9g5Q3yZDJD4o97lOS79u+aQ3abRCZgb59+0YPJ+igu3fvdpbliaYSJ0VkaivfkaesOC1+57N3DlPOw6WXXvrvf//bWZaTXI7iLPtegAnHilh/r7jiinXr1rW0/iJbBiCz6ju8PJBvDZbcMtzbiizIQ2dZEpzwod2gzRIWEsgZuWTJkpEjRzoPpVtfsGCB+xtxeejdWF6m9OvXb/v27d7jem+mKV+7Jxwu4elBR0nvrYLk/XiHnbwy+vbvvfee9FVSqORV9cMPP/yZz3wm+Skpd57e4NevX3/99dd71xh8B8u2mY87aQnMvoOV+eQknO3eS9sVcr37jvDvf//7lClTevToMWjQIPf3ekEbO+NZuHCh90OQ8qJcNnB/Rxky/iBy/od00h07dkz4DZfEJT2cdzPZoLS09Mknn5R/3d+yJewn5B0sl9wSpXOaMWOG73vkKW+SESffK+5Tku/bCT8N363Xa6+9JnmUu5BzUrl9cNxwvNu7mZLtozRY4YlzX1HLy1H3Lf+EqyC84gQN2DuHKedBOkjvCwz33PO9ABOOFbH+1tTUfP7zn//4449vu+02ecGTHELeyLcGK+IrJO+LM1lI3sz5dbUvaXrcj5XIuRj0G3Ep7X369NmxY0fIaKN8+sR7uGS+R0njwy7ho02+d8Td3vXLX/4y6POb4TtPb/Bf/vKXX3755Sj7ifsZLNtmPu6kJTP4GSxTk+MlLVGsd7BCRij3+j/84Q9uo59wsSdsLBe4+6bF66+/Li+4N23adPHFF7vvK8c9c6ShmT9/fsJK96CDBw9+9dVXvT/629/+NmDAgITNli9f3qFDB/d3K8kNllxly5YtCx+JQ0r1Jz/5yeT1KW+SQZMfcvNM4x2sKA+jvIMlK5944gl5sSd1Xf5NnrG451Ia72C1REhcuJCK4wo/n1POg7Q+Bw4cSN6t7wWYcKyIcygX4JAhQ+bMmSMntvvZvryUbw2WvNx0fwcsfXp1dbWzPvkimTBhgvPxAllI/ijApz/9ae/vlaZNmyYPm5qaDh8+PHv2bPcFn9xb5RDO64mHHnrIvbeuWLFCXr67l1+QVatW+f79UdDhEgQdJWi3QetTjjZh9uJuLy/IJB0yRU899VRZWZn7/rORoEIGs3nz5q985SsR9xO03sggsz3zccfjK+XGEaugqclJ8PDDD48ePXr//v3ej4BEv96dhalTp0oBkHu6NFjSAjorEy5273OPHz++aNGi4cOHt7R+IFKqwl/+8hdZfvbZZy+77DLnN30h4/edsYMHD8qh3b8ilHCee+45d0t5BSJH+fOf/3yq1bZt2774xS/+7Gc/C9lhi1+d3rt3r3SQK1eulJk5e/bs9u3b3b8ivOqqqzZs2FBXVyd3GBlzVVXVpEmTfPcZfpMMmvyE+fSKmK+gCQx6GLRbL5mNZ555RqZCTiGZiuQZi3suyfbuZ7CuueaaiA1W3A0SBFUcr5DzuSXCPDzyyCMyD7IHuUz++c9/fv3rX3fW+16ACceKnl95DSYrf/3rX/vORt7It3gaGxvvu+8+568YZMF9uzL5InH+QKakpOQ73/mO948dnAUpEsXFxe7DjRs3Dh06tFOnTtIfyP1IGn9nvdzFJk6c+KlWcrHt27fP3U+ChoaG5NFKIy9dvPOfmsybN899EzXocAmCjhK026D1IaNNWJ/e9mvXrpWKIi+2xo8fv3PnzvAMxg0qZDAjRoyoqamJOOdB69vEzMcdj6+QjX0HE3eQGc68dANSUfr27SvXrPQNzsro17uzIC2+vEAvLCyU9ujFF190ViZc7N6Rd+/e/YYbbnCu6+nTpzufm3HIGJw/ngifN99YDh06dPfdd8tF0aFDhx49etx0002vvPKKOxu//e1vL7/8cueuIgtPPPFEyh0W+NVpqXyyZxmV3EmuuOIK9//B+tOf/iTrZRplHsrLy++9917fO0xBqptk0OQnzKdXxHwFxRv0MGi3XvJyS1LfsWNH6f4fffTR5BmLey7JBt/61rdkcmSKfvjDH8qeQ8YfK3EhgiqOV/L57P1pynk4d+6crL/00ks7d+4svb57C/W9ABOOFT2/cjYOGjToo48+8p2NvJFv8QAAMpd/1S57/vGPf0ireqFHkb6PP/444t8emXL99dc/+eSTuTziBcElBABIRIOV0gMPPHDkyJGDBw9effXV3/3udy/0cNL32muvuX8tmG3nzp17/PHHhwwZ4v5PDXmMSwgXRvIvkiy8obeJQcaVl0HBOM6KlB555JG+ffv26tXrnnvuadP/18AnPvGJxx57LDfHkvNqwIAB0tLl5nAXFpcQAACAYTRYAAAAhtFgAQAAGEaDBQAAYBgNFgAAgGE0WAAAAIZpabB8/zQdAADk2IXuCHJETZxqMgoAgLX0lGM1carJKAAA1tJTjtXEqSajAABYS085VhOnmowCAGAtPeVYTZxqMgoAgLX0lGM1carJKAAA1tJTjvM5Tp1/FwoAgLX0lGM1carJKAAA1tJTjtXEqSajAABYS085VhOnmowCAGAtPeVYTZxqMgoAgLX0lGM1carJKAAA1tJTjtXEqSajAABYS085VhOnmowCAGAtPeVYTZxqMgoAgLX0lGM1carJKAAA1tJTjtXEqSajAABYS085VhOnmowCAGAtPeXYojhDvjSwvr6+rKwsk6zoySgAANbSU46ti9N36mfNmrVs2TIaLAAA2jQ95di6OJOnvra2duDAgY2NjTRYAAC0aXrKsXVxJk/9tddeu27dOt8fZbJbAACQY3rKsXVxJkz9888/f+WVVzY3Nyf/yPe5IbI4aAAAEIGecmxdnAlTP2TIkJdeesn3R5nsFgAA5J6ecmxdnAlTb+qNKD0ZBQDAWnrKsXVxhkx9cu9lZLcAACA39JRji+JM+U4VDRYAAG2annKsJk41GQUAwFp6yrGaONVkFAAAa+kpx2riVJNRAACspaccq4lTTUYBALCWnnKsJk41GQUAwFp6yrGaONVkFAAAa+kpx2riVJNRAACspaccq4lTTUYBALCWnnKsJk41GQUAwFp6yrGaONVkFAAAa+kpx/kcp5FviQYAAKboKcdq4lSTUQAArKWnHKuJU01GAQCwlp5yrCZONRkFAMBaesqxmjjVZBQAAGvpKcdq4lSTUQAArKWnHKuJU01GAQCwlp5yrCZONRkFAMBaesqxmjjVZBQAAGvpKcdq4lSTUQAArKWnHKuJU01GAQCwlp5yrCZONRkFAMBaesqxRXH6fmng1q1bx44dW1hYWFpaOnPmzOPHj6e9cxNjBAAA6dNTjq2LM2Hqx48fv2XLloaGhqNHj1ZVVU2ePNnIbgEAQO7pKcfWxRky9adPn+7WrZvx3QIAgNzQU46tizNk6mtqakaPHm18twAAIDf0lGPr4gya+p07d5aXl+/Zsyf8uSGyM14AABCVnnJsXZy+U79t27Z+/fpt377d7G4BAEAu6SnH1sWZPPXr16/v06fPjh07zO4WAADkmJ5ybF2cCVO/YsWKfv367d69O+WWsXYLAAByT085tihO349MJX+UqqGhwf1RrJ2bHzEAAIhDTzlWE6eajAIAYC095VhNnGoyCgCAtfSUYzVxqskoAADW0lOO1cSpJqMAAFhLTzlWE6eajAIAYC095VhNnGoyCgCAtfSUYzVxqskoAADW0lOO1cSpJqMAAFhLTzlWE6eajAIAYC095VhNnGoyCgCAtfSU43yO0/e7dwAAwIWipxyriVNNRgEAsJaecqwmTjUZBQDAWnrKsZo41WQUAABr6SnHauJUk1EAAKylpxyriVNNRgEAsJaecqwmTjUZBQDAWnrKsZo41WQUAABr6SnHauJUk1EAAKylpxyriVNNRgEAsJaecqwmTjUZBQDAWnrKsZo41WQUAABr6SnHFsXp+6WBzc3Nc+fOLS4uLikpmT9/vjxMe+cmxggAANKnpxxbF2fC1K9evXrYsGFvtZKFNWvWGNktAADIPT3l2HycjY2N1dXVAwcOLCwslH8XL1589uzZGAM6f+orKiq2bNniLMtCZWVleqPSk1EAAKylpxybj/O+++4bO3bsrl27pNOSf8eMGXP//ffHGND5U19UVFRfX+8sHzt2rLi4OL1R6ckoAADW0lOOzcfZu3fvt99+230oy7ImxoDOn/p27do1NTU5y7LQvn378OeGiBMEAAAwT085tr3B4h0sAADyhp5ynJVfEY4bN+6NN95obGyUf2U5k18R8hksAADyhp5ynJUPuS9cuPCSSy4pLCyUfxctWpTJh9xXrVoV9FeEsZKkJ6MAAFhLTzm2KE7fj0w1NzfPmTOnuNW8efO8/w8WDRYAAG2LnnKsJk41GQUAwFp6yrH5OHft2lVZWdmlSxer/oLPhjEAAKCcnnJsPs7hw4cvXbr0gw8+ML7nTOjJKAAA1tJTjs3HWVhYeObMGeO7zZCejAIAYC095dh8nP379z9w4IDx3WZIT0YBALCWnnJsPs7HHntsypQpR44cMb7nTOjJKAAA1tJTjs3EGf4dNTbMpg1jAABAOT3lWE2cajIKAIC19JRj83FedNFFxveZOT0ZBQDAWnrKsfk4L7744v/85z/Gd5shPRkFAMBaesqx+ThXrlx58803Hzx40Pu1NheEbZ8DAwBAOT3l2HycfMgdAAD40lOO1cSpJqMAAFhLTzlWE6eajAIAYC095VhNnGoyCgCAtfSUYzVxqskoAADW0lOO1cSpJqMAAFhLTzlWE6eajAIAYC095VhNnGoyCgCAtfSUYzVxqskoAADW0lOO1cSpJqMAAFhLTzlWE6eajAIAYC095dj2OPfv33/dddcVt5IFeZjefvRkFAAAa+kpx7bHWVFRsXDhwhOtFixYIA/T24+ejAIAYC095dj2OLt27Xr69Gln+dSpU/Iwvf3oySgAANbSU45tj/OWW25ZvHjxyZMnT5w4UV1dLQ/T24+ejAIAYC095dj2ON95553+/fsXtJKFd999N2TjglA5GzMAAPClpxzbHue4ceMWLFjgfgZLHqa3Hz0ZBQDAWnrKse1xdunShc9gAQCQH/SUY9vjrKioqK6udt7BeuihhyorK90fxUqSnowCAGAtPeXY9jj37t07ceLET7WaNGnSvn373B/RYAEA0LboKcdq4lSTUQAArKWnHKuJU01GAQCwlp5yrCZONRkFAMBaesqxmjjVZBQAAGvpKcdq4lSTUQAArKWnHKuJU01GAQCwlp5yrCZONRkFAMBaesqxmjjVZBQAAGvpKcdq4lSTUQAArKWnHKuJU01GAQCwlp5ynM9xFpzvQg8HAADt9JRjNXGqySgAANbSU47VxKkmowAAWEtPOVYTp5qMAgBgLT3lWE2cajIKAIC19JRjNXGqySgAANbSU47VxKkmowAAWEtPOVYTp5qMAgBgLT3lWE2cajIKAIC19JRjNXGqySgAANbSU47VxKkmowAAWEtPOW4Dcb7++usTJkzo1q1bnz591q5dm95O9GQUAABr6SnHtse5Z8+esrKy3/3ud++///6hQ4duu+229PajJ6MAAFhLTzm2PU7pqH7xi19kvh89GQUAwFp6yrHtcfbu3XvRokWlpaXdu3efPn36iRMn0tuPnowCAGAtPeXY9jjbt29/xx13HG01derUO++8M2TjglA5GzMAAPClpxzbHmdRUdGxY8ecZemxevbsmd5+9GQUAABr6SnHtsc5YsQI6auc5bq6OhosAADaLj3l2PY4165de/vtt7u/IrzrrrvcH8VKkp6MAgBgLT3luA3EuXjx4p49e5aUlEybNs37IXcaLAAA2hY95VhNnGoyCgCAtfSUYzVxqskoAADW0lOO1cSpJqMAAFhLTzlWE6eajAIAYC095VhNnGoyCgCAtfSUYzVxqskoAADW0lOO1cSpJqMAAFhLTzlWE6eajAIAYC095VhNnGoyCgCAtfSUYzVxqskoAADW0lOO1cSpJqMAAFhLTznO5zgLznehhwMAgHZ6yrGaONVkFAAAa+kpx2riVJNRAACspaccq4lTTUYBALCWnnKsJk41GQUAwFp6yrGaONVkFAAAa+kpx2riVJNRAACspaccq4lTTUYBALCWnnKsJk41GQUAwFp6yrGaONVkFAAAa+kpx2riVJNRAACspacct4046+vry8rKMsmKnowCAGAtPeW4bcQ5a9asZcuW0WABANCm6SnHbSDO2tragQMHNjY20mABANCm6SnHbSDOa6+9dt26dS2ZZUVPRgEAsJaecmx7nM8///yVV17Z3NzcEiErBaFyMl4AABBITzm2Pc4hQ4a89NJLzjLvYAEA0KbpKce2x2nqjSg9GQUAwFp6ynFbijMhK7GSpCejAABYS085bktx0mABANCm6SnHauJUk1EAAKylpxyriVNNRgEAsJaecqwmTgAAYIEL3RHkiJY4feUmzTk7mfIpHI6i+Sg5OxBH4Sj5cZScHUhPb2SE6snKszMyn8LhKJqPkrMDcRSOkh9HydmBaLBiUT1ZeXZG5lM4HEXzUXJ2II7CUfLjKDk7EA1WLKonK8/OyHwKh6NoPkrODsRROEp+HCVnB6LBioXJyh+c+nYiL9YiNXYiL9YiNbEwWfmDU99O5MVapMZO5MVapCYWJit/cOrbibxYi9TYibxYi9TEwmTlD059O5EXa5EaO5EXa5GaWJis/MGpbyfyYi1SYyfyYi1SEwuTBQAAYBgNFgAAgGE0WAAAAIbRYAEAABhGgwUAAGAYDRYAAIBhNFgAAACG0WBZauvWrWPHji0sLCwtLZ05c+bx48fdHxX8X9Bzm5ub586dW1xcXFJSMn/+fHkYvh7RBeUlJF8u8pJVQSnYvHnzqFGjOnfuLOtnzJhRV1eX/FxSkz2ZzC15yaqQaaTKGEGDZanx48dv2bKloaHh6NGjVVVVkydPTtgg5NRfvXr1sGHD3molC2vWrAlfj+iC8pIyXy3kJcuCUjBmzJhNmzadOHHi9OnTS5culSYs+bmkJnsymVvyklUpp5EqkyEarDZACkO3bt0SViaf+u6aiooKqTTOsixUVlaGr0d6fPOSvJ685F5QaqT96tq1q/uQ1ORAGnNLXnIj5TRSZTJEg9UG1NTUjB49OmFlyKlfVFRUX1/vLB87dqy4uDh8PdLjm5fk9eQl93xTc+bMmeXLl3vfXCQ1OZDG3JKX3Eg5jVSZDNFg2W7nzp3l5eV79uxJWB/y5m27du2ampqcZVlo3759+HqkISgvQetbyEuu+KbA+UBJr1693nzzzeSnkJrsyWRuyUtWpZxGqkyGaLCstm3btn79+m3fvj35RyGnPq8tsi0oLyH5aiEvORGSglOnTi1ZsmTkyJHJPyI12ZPJ3JKXrErjHayUzyU1XjRY9lq/fn2fPn127Njh+9OQU5/fjmdVUF7C89VCXrIvZQqkx/L9bBapyZ5M5pa8ZFUan8FK+VxS40WDZakVK1bIC/Hdu3cHbRDy2/FVq1b5/h1H0HpEF5SXkHyRl9wISsG0adNqa2ubmpoOHz48e/Zs389gkZrsSWNuyUtupJxGqkyGaLAsVZCkoaHB90fepzgLzc3Nc+bMKW41b9487/9Q4rse0QXlJTxfzgJ5yaqgFGzcuHHo0KGdOnUqKyurqqp67733vE9xFkhN9qQxt+QlN8JTQJXJHA0WAACAYTRYAAAAhtFgAQAAGEaDBQAAYBgNFgAgW4K+hDvutwVH+T51R/JHs6M/Pe5ogRA0WACAbAn6Eu643xYc5fvUvRIarIhPjztaIAQNFgAgF7xfwp3J/1QZ9GXeXiH/SWaUp0ccLRCCBgsAkAveL+HO5LtWgr5n3SukwYry9IijBULQYAEAsi7hS7jT/rbgkO9T9wpqsCI+PeJogRA0WACA7Er+Eu703sFK3o/vR9pbAhqsiE+PPlogBA0WACCLfL+EO43PYKX8Mm+v5AYr4tNjjRYIQYMFAMiWoC/hjvttwSHfp+4rocGK+PS4owVC0GABALIl6Eu4435bcMj3qYcfMdbT444WCEGDBQAAYBgNFgAAgGE0WAAAAIbRYAEAABhGgwUAAGAYDRYAAIBhNFgAAACG0WABAAAYRoMFAABgGA0WAACAYTRYAAAAhtFgAQAAGEaDBQAAYBgNFgAAgGE0WAAAAIbRYAEAABhGgwUAAGAYDRYAAIBhNFgAAACG0WABAAAYRoMFAABgGA0WAACAYTRYAAAAhtFgAQAAGEaDBQAAYBgNFgAAgGH/Ayt5SnsZyhJRAAAAAElFTkSuQmCC)
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