Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit311-11-20020705_121000_20020705_165500-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/07/05 |
Start Time | | 2002/07/05 12:10 |
End Time | | 2002/07/05 16:53 |
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 | | -20.41 |
Dipole Tilt, in Y-Z GSE plane, deg | | 16.26 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 143.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit311-11-20020705_121000_20020705_165500-constBx0 |
Minimum Dst Value | | 14 |
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 Cluster-4 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUARnJpIE1hciAyMiAyMjo0NDowNyBFRFQgMjAxOZCWCFkAAAHPdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQzMTEtMTItMjAwMjA3MDVfMTY1NjAwXzIwMDIwNzA1XzIxMzYwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIENsdXN0ZXItNCB0cmFqZWN0b3J5LiIsIAogICAgInhheGlzIjogeyAibGFiZWwiOiIiLCAibWluIjoiMjAwMi0wNy0wNVQxNjo1NjowMC4wMDBaIiwgIm1heCI6IjIwMDItMDctMDVUMjE6MzQ6MDAuMDAwWiIsICJsZWZ0Ijo3OCwgInJpZ2h0Ijo3MjIsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiVVRDIiB9LAogICAgInlheGlzIjogeyAibGFiZWwiOiJyaG8iLCAibWluIjoxLjE1MzIzOTk5OTUsICJtYXgiOjEyLjYwNTU2MDAwMDUsICJ0b3AiOjUyLCAiYm90dG9tIjoyMzUsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiIiB9CiAgfQogXX0Y9dI+AAAABGdBTUEAAK/INwWK6QAAIbtJREFUeJzt3X9wFPX5wPHIDwmkTRNIxUQSiBQrHaDKqAMmKiIgiChaxwYQBKmlVRlpy28Cllax7RRGHQUsjR1nVH7Y0YxW6DhW2pFaGShDSwWhIGCg/JRAogYQku9Ddr475+2P20s2l8/t8379wextdj+7z+fZvee5y4XLaAAAAECoMlr7BAAAAKKGBgsAACBkNFgAAAAho8ECAAAIGQ0WAABAyGiwAAAAQkaDBQAAEDIaLAAAgJDRYAEAAISMBgsAACBkNFgAAAAho8ECAAAIGQ0WAABAyGiwAAAAQkaDBQAAEDIaLAAAgJDRYAEAAISMBgsAACBkNFgAAAAho8ECAAAIGQ0WAABAyGiwAAAAQkaDBQAAEDIaLAAAgJDRYAEAAISMBgsAACBkNFgAAAAho8ECAAAIGQ0WAABAyGiwAAAAQhbNBisjI5pxAUCLaoknz/fff79Xr14JR26JQ7dWLaAGoUFbg8VFDwA+WuJJsrS09LXXXmuVQ9NghSiSQbWoaM5Xsi+V3nrrrRtvvLFDhw75+fn333//4cOHY7e0OEdwXR9ks3Xr1g0ePDgzM1MON3ny5OPHj7vu67VZfX39zJkzc3JycnNzZ8+eLQ/91yc7TsZXZWdnJ7W9/4T4TN3WrVuHDRuWlZVVUFBQUVGRcHDX7ZOdHD0z73PVuY7gc1O03My3hLi47GAvuuiirl27lpWVVVVV+ezehPM/dOjQQw891KNHj/bt28tew4cPl8l0PZm4lbLwne98J/YQsty7d+/YDewf7dix4+677+7cufPFF198zTXXvPrqq9b6kydPynn26tWrY8eOcvQ777zznXfeSXjOzpNp8gZOciWfPn26+YdugpbuCbyy0LTjhni2x44dKywsNOG9Bs1tWTQjT/Y54uabb5YXWNXV1TU1NQsXLpQ6FHDAgJdO3GZDhw5du3ZtbW3tkSNHpkyZMnLkSNe9vDZbvnx5//79P24kCytWrPBfn+w4sZYsWTJ9+nT/7UN5Ktm5c6c8Hbz00ksnTpzYv3//mDFj/Af32j7ZyXEVyZlPeNUFvCladOZbgrPBshbOnz9/8ODBn/3sZ6WlpT67J3v+Bw4c6N69uwy7ffv2L774QhrZN99889Zbb3U9mbiVsiBF+o033rB/9Prrr8saZ4O1a9cu6Q5/+9vfSgqkd/nggw++973vWT+SYz344IOywZkzZ44ePbp69eqbbrrJ/5xdT6bJGzR5l7RrsHyy0OoNlrT4ixYtosFqXWkWuVzEjz76aNdGsmC/KpIUSkHq1q2bvCq1Hv7617++5JJL5IXFww8/LE809mYNX33d7zyEVKBOnTrFrQy3wYol1SsrKyvhCLGbDRw4UCqltSwLJSUl/uuTHccm81ZcXCwFw3/7UJ5KpE4/++yzCTdLuH1zJsdV9Ga+weOq8xkt9qZooZn/8ssv58+fX1RUlJOTIxXLWulzvy9btkz6mMzMzAEDBmzbts1a/84771x99dWyUn5kdULOmz0uzJMnT3bs2FEWfvSjH73wwgv2+oqKClnjf/6uM/bAAw/MmTPHNUavXWLPbc2aNbGHkOheffVV58mPHTv28ccfdz2EhCNBeZ1A7EF9niQbPCbf/8kz2V2cz9uuafW6DGJJ3y/NjcSSnZ191113HTt2LEg4/geVC0AGlO1lolzj9cmC1/VmPwxyrcprgF/+8pc9evTIzc2dNGnSZ5995jpvTtLc9+zZs66uzut6c94UsQMmnEyvE3Pexc5jBSniN9xww8qVK+0Tlv41Pz8/yFVtmjRrsCR5Q4YMqWokr7AXLFhgrZfc3HnnnfJ61H4omx1oJAs///nP7fVxC3HkQnnyyScTvrhPuD74ZpWVlYMGDUo4QuxmctHbV7y8QpVL2X99suPY5LaXm8d+6LW9RJeXlycFuE+fPk8//fS5c+cShtPgmBO52SS5chfJXT1hwoTq6mr/wb22b87kuIrezDd4XHUBb4oWmnkpVHJKu3fvPnHixLRp06yVPvf76NGj9+7dK+e2cOFCuyORs/rjH/8oT9nyjDx58mTXuGKLxKFDh2bNmmW9wSMdxo033rh69WpZXrVqlSyfPXvW//xdZ0zOQeqTa4xeu8Q+L8lZ9erV6+9//7s8XL9+vSzLGucTl2Rhz549rocYMWLEvffeu2HDhi+++MLrNBoCPEn6TL7XmMnu4nzedk2r17Cx+vXr9+6770rIUoYfeeSRH/zgB8HDcT1oeXm5zOTBRsOGDXMNwScLCRusINfq4sWLb7nllo8//lhuivvuu++nP/2p67w53XbbbS+//LJzQOdpuA6YcDK9Tsz1Lo47VpAi/uc//7l3795y5Vs/kvn51a9+5RWsydKswbr88ss//PBDa1leakiTbi1Lbvbt22dvJg/tzf7zn//Ebha3EMvqsuUl3X//+1/nj1zPp5kN1pYtW4qLi32ejl03a9OmjfXUL2Shbdu2/uuTHcciF/cVV1whr4TsNf7byzPFpk2b5OnJvq/8xc2JjCY36pFGZWVlEydO9B/ca/smT46rSM6811UX8KZooZn/1re+Zb95YPO536U3spY///xz6y0oUVhY+Mwzz3zyySc+cWV8lbwEl6cI60eHDx+WmZk9e7b8a3/mLNkrp127drGdjfOtAucucT99/vnn77jjjobGX/b97ne/c25gHaWurs71BE6dOiU17Lvf/W5mZqZM4PTp011f+id8kvSZfK/Yk93F+bztmlavYb3IDHTr1i14OF4H3bFjh7UsO7qG4JOFhA1WkGv1yiuv/Oijj6xluSC7d+9ubxY7b3Hefvvt6667zvokX/AGy2tA18n0OjHXuzjuWAGL+LXXXmv1iLt27ZITkNR4xWuyNGuw5CnDvqBlQR5ay5Kb2E+GykOvzeIW4sjF9Nhjj91www1x64NfprFPpv67y8vToqKijRs3+u/u3KxpbxUEH8ciL+JHjRoVuybIWxHyaizgm0NxYcrgMqa1LJU7Ly/Pf3Cv7UN8ByuSM+88GVvAmyKsmY+72mNvbZvP/e565v/85z9Hjx7dpUuXXr162b/X89rYOp958+bFfuZSXk/LBvbvKH3O38ull17q07y2b98+7jdcEpf0cLGbyQb5+fmvvPKK/Gv/li1uHJ/3TmzylCid0/333+/6Kc+ET5IBJz9Wsrs4n7fjfuo/bCx5jSF5lHbZuqjsPjjZcGK3tzPl9bu25ryDFeRalW4v9sVA7HUSN2+xt1Lfvn3fe+891wGdp+E6YMLJ9Dox17s47lgBi3hlZeW3v/3tc+fOjRkzRjpR1yjMl2YNVsBXSLEvzmTBuZnXr64bGstJ8I+n+DzX+G8mRbSgoGDz5s3+O7pu1oQPuyQ1juWqq67asGFD8O0tVVVV8qTjH5Qlbk5KS0ulWlvL8pLItcGKHdxr+7A+gxXJmfe/6nwu5tibooVmXspMUu9g+Zy5PE3/6U9/kkbHehh3s8dtXFNTY79psXXrVnmt/Nprr1122WX2O3bJXjnS0MyePTtupX3Q3r17f/DBB7E/+sc//tGjR4+4zZ588sl27drZvxZxVuuxY8cuWrTI/0ws1dXVX//6153rEz5Jek2+z5NnE97BCvIwyDtYsvLFF1/89NNPpSTLv84ZS/ZaCvIOlk8WYhs1+92XQ4cOJXWtSoexd+9en8G9Dh3HuY3/TZFwMr1OzPUujjtWwETIzEinOGPGDLk77A8Ipp00a7Dk5ab961tpscvLy631zptk2LBh1scLZMH5UYBvfvObsb+CGT9+vDw8e/bsJ5988sgjj7T0Z7AWL15cVFRk371evDZbtmyZ6581ea1PdpyGxj/Rv/766wNuX1ZWJveJ3AMyh5KdqVOnJp4Rx5xUVFSMGzfO/sWT/Qkkr8G9tk92clxFcuYTXnVxGfG6KVpo5p944olBgwbt2bMn9tMbwe93e0LkuVsmRIqWtJLWyribPXbf48ePz58/f8CAAQ2NHzWTJ/S//e1vsvzGG29cffXV1m/6fM7f9fbft2+fHNr+K0IJ580337S3fO655+Qof/3rX081Wr9+fZ8+fX7zm9/4DNjg1mDt2rVLqvKSJUtkZk6fPr1x40b779duuumm1atXS+8ruZNznjJlyogRI1zH9H+S9Jr8uPmMFTBfXhPo9dBr2FgyG6+//rpMhVxCMhXOGUv2WpLt7c9g3Xrrra4h+GTB3l468oULF8rVJbm44447krpWn3rqKTlnWSOb/fvf//7+97/vP59OXlv63BQNASbT68Rc7+K4YwW/SOQFoaz8/e9/HyQiM6XTuTY0vqMoVcT6AwRZsN9pdN4k1h/I5Obm/vjHP479OwVrQYpNTk6O/XDNmjX9+vW7+OKLCwsL5flIevbYoVxfCiR8ieCzmfMVRm1tbcJ97c2ktZe+PqfRrFmzYv/DIdf1yY7T0PguRWVlZdz5eG1vzV6HDh3ktYjcPF4fSkg4dfIUn5eXJymT0m5/dNpncNftk52cIGcYjZn3uepcM+JzU7TEzEs3MHfu3G7dusmwUrGslcHvd2th5cqV8to6MzNT2qN3333XWhl3s8dG2rlzZ6l5u3fvlvUTJkywPvBkkXOwekef88/wuPH379//wAMPSNVs165dly5d7rrrrvfff9+ejT/84Q/XXHPNNxrJwosvvphwwAxHhWto/EsxGVnOSnJ07bXX2v8D01/+8hdZL9Mo81BcXPzwww/H5i52TP8nSa/Jj5vPWAHz5RWv10OvYWPJKxNJffv27eVVxDPPPOOcsWSvJdnghz/8oUyOTNEvfvELGdk1BK8s2OPISyDp4K2/Fly6dGlS1+r58+clliuvvFLucenL7WcGr/l08trSeVPE/jThZHqdmOtdHHes4BeJTGavXr2+/PLLIBGZKZ3OFQAQivQqVK3rX//6l7SqrX0WrezcuXPygiGVRxw1atQrr7ySyiOGjnsMANShwUpo2rRphw4d2rdv3y233PKTn/yktU+nlW3atMn+a8GWdv78+eeff75v3772/9SQprjH0CKcv5Ay8Ak9LU4yWZEMCqHjqkjoqaee6tat2yWXXPLggw+m6X8TEKKvfe1rS5cuTc2x5OLs0aOHtHSpOVzL4R4DAAAIGQ0WAABAyGiwAAAAQkaDBQAAEDIaLAAAgJDRYAEAAIRMS4Pl+rfrAAAgxVq7I0gRNXGqySgAAMbSU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lWE2cajIKAICx9JRjNXGqySgAAMbSU44NitP17wvWrVs3ePDgzMzM/Pz8yZMnHz9+vMmDh3GOAACg6fSUY+PijJv6oUOHrl27tra29siRI1OmTBk5cmQowwIAgNTTU46Ni9Nn6mtqarKyskIfFgAApIaecmxcnD5TX1lZOWjQoNCHBQAAqaGnHBsXp9fUb9mypbi4eOfOnf778l/HAgBgLD3l2Lg4Xad+/fr1RUVFGzduDHdYAACQSnrKsXFxOqd+1apVBQUFmzdvDndYAACQYnrKsXFxxk394sWLi4qKduzYkXDLpIYFAACpp6ccGxSn60emnB+lqq2ttX+U1ODhnzEAAEiGnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccRzlO1y83BAAArUVPOVYTp5qMAgBgLD3lWE2cajIKAICx9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lWE2cajIKAICx9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lWE2cajIKAICx9JRjNXGqySgAAMbSU44NitP1SwPr6+tnzpyZk5OTm5s7e/ZsedjkwcM4RwAA0HR6yrFxccZN/fLly/v37/9xI1lYsWJFKMMCAIDU01OOjYszbuoHDhy4du1aa1kWSkpKQhkWAACknp5ybFyccVOfnZ197Ngxa/no0aM5OTmhDAsAAFJPTzk2Ls64qW/Tps3Zs2etZVlo27at/74+WvCkAQBAAHrKsXFx8g4WAABRpaccGxcnn8ECACCq9JRj4+KMm/ply5Z5/RVhUknSk1EAAIylpxwbFKfrR6bq6+tnzJiR02jWrFmx/w8WDRYAAOlFTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOOoxyn65cbAgCA1qKnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcemx7lnz57bb789p5EsyMOmjaMnowAAGEtPOTY9zoEDB86bN6+60Zw5c+Rh08bRk1EAAIylpxybHmenTp1qamqs5VOnTsnDpo2jJ6MAABhLTzk2Pc577rlnwYIFJ0+erK6uLi8vl4dNG0dPRgEAMJaecmx6nAcOHOjevXtGI1k4ePCgz8YZvlJ2zgAAwJWecmx6nEOGDJkzZ479GSx52LRx9GQUAABj6SnHpsfZsWNHPoMFAEA06CnHpsc5cODA8vJy6x2suXPnlpSU2D9KKkl6MgoAgLH0lGPT49y1a9fw4cO/0WjEiBG7d++2f0SDBQBAetFTjtXEqSajAAAYS085VhOnmowCAGAsPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjsOPs66urry8vGfPnpmZmfLvggULTp8+HfpRkqUnowAAGEtPOQ4/zqlTpw4ePHjbtm3Sacm/N99886OPPhr6UZKlJ6MAABhLTzkOP86uXbtWVVXZD2VZ1oR+lGTpySgAAMbSU45psAAAQIroKcct8ivCIUOGfPjhh3V1dfKvLPMrQgAA0KCpHLfIh9znzZt3+eWXZ2Zmyr/z58/nQ+4AAKBBUzlWE6eajAIAYCw95TjKcWZ8VWufDgAA2ukpx+HHuW3btpKSko4dOxrV3JhwDgAAKKenHIcf54ABAxYuXPj555+HPnJz6MkoAADG0lOOw48zMzPzs88+C33YZtKTUQAAjKWnHIcfZ/fu3ffu3Rv6sM2kJ6MAABhLTzkOP86lS5eOHj360KFDoY/cHHoyCgCAsfSU43DizEgklKM08wxb+xQAANBOTzlWE6eajAIAYCw95Tj8OC+66KLQx2w+PRkFAMBYespx+HFedtll//vf/0Iftpn0ZBQAAGPpKcfhx7lkyZK7775737599fX1oQ/eZHoyCgCAsfSU4/Dj5EPuAADAlZ5ynAZxbt26ddiwYVlZWQUFBRUVFU0bRE9GAQAwlp5ybHqcO3fuLCwsfOmll06cOLF///4xY8Y0bRw9GQUAwFh6yrHpcUpH9eyzzzZ/HD0ZBQDAWHrKselxdu3adf78+fn5+Z07d54wYUJ1dXXTxtGTUQAAjKWnHJseZ9u2be+7774jjcrKyiZOnOizseH/mzwAAMrpKcemx5mdnX306FFrWXqsvLy8po2jJ6MAABhLTzk2Pc7S0lLpq6zlw4cP02ABAJC+9JRj0+OsqKgYN26c/SvCSZMm2T9KKkl6MgoAgLH0lOM0iHPBggV5eXm5ubnjx4+P/ZA7DRYAAOlFTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOOoxxnxle19ukAAKCdnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccp0ecx44dKywsbE5W9GQUAABj6SnH6RHnQw89tGjRIhosAADSmp5ynAZxbt++vWfPnnV1dTRYAACkNT3lOA3ivO22215++eWG5mVFT0YBADCWnnJsepxvv/32ddddV19f3xAgKxm+UnK+AADAk55ybHqcffv2fe+996xl3sECACCt6SnHpscZ1htRejIKAICx9JTjdIozLitJJUlPRgEAMJaecpxOcdJgAQCQ1vSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95TjKcWZ8VWufDgAA2ukpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6yrHpca5bt27w4MGZmZn5+fmTJ08+fvx408bRk1EAAIylpxybHufQoUPXrl1bW1t75MiRKVOmjBw5smnj6MkoAADG0lOO0ynOmpqarKyspu2rJ6MAABhLTzlOpzgrKysHDRrUtH31ZBQAAGPpKcdpE+eWLVuKi4t37tzps02Gr5SdKgAAcKWnHKdHnOvXry8qKtq4cWOTR9CTUQAAjKWnHKdBnKtWrSooKNi8eXNzBtGTUQAAjKWnHJse5+LFi4uKinbs2OH8UVJJ0pNRAACMpaccmx6n86NUtbW19o+SGqdlThAAAASlpxyriVNNRgEAMJaecqwmTjUZBQDAWHrKsZo41WQUAABj6SnHauJUk1EAAIylpxyriVNNRgEAMJaecqwmTjUZBQDAWHrKsZo41WQUAABj6SnHauJUk1EAAIylpxyriVNNRgEAMJaecqwmTgAAYIDW7ghSREuc/lKW79QcKGLhRO9AEQsnegeKWDgpO1DEwonegSIWjvmYhQsidtlFLJzoHShi4UTvQBELJ2UHilg40TtQxMIxH7NwQcQuu4iFE70DRSyc6B0oYuGk7EARCyd6B4pYOOZjFi6I2GUXsXCid6CIhRO9A0UsnJQdKGLhRO9AEQvHfMzCBVwNhiNBhiNBhiNBhiNBkURSL+DiNhwJMhwJMhwJMhwJiiSSegEXt+FIkOFIkOFIkOFIUCSR1Au4uA1HggxHggxHggxHgiKJpF7AxW04EmQ4EmQ4EmQ4EhRJJBUAACBkNFgAAAAho8ECAAAIGQ0WAABAyGiwAAAAQkaDBQAAEDIaLAAAgJBFs8HK+H+uKy3Z2dnOHevr62fOnJmTk5Obmzt79mx56L8eTeOaoD179tx+++05jWRBHjp3JEGp4Zqg6urqCRMmdO7cOS8v77HHHnPdkQSlwLp16wYPHpyZmZmfnz958uTjx49b64NMMglKAa8ENXjcWbFIUJREs8Gy+FzES5YsmT59unP98uXL+/fv/3EjWVixYoX/ejRHXIIGDhw4b9686kZz5syRh85dSFAqxSVo4sSJZWVlhxvde++9L7zwgnMXEpQCQ4cOXbt2bW1t7ZEjR6ZMmTJy5EhrfZBJJkEp4JUgm09tIkFRorHBOnPmTHFx8YEDB5xbSlGXG8NaloWSkhL/9WiOuAR16tSppqbGWj516pQ8dG5JglIpLkFdunSRgmEtS49VWlrq3JIEpZjcMllZWdayzySToNYSmyCbszaRoEjS2GBJ7z9p0iTXLbOzs48dO2YtHz16NCcnx389miMuQffcc8+CBQtOnjxZXV1dXl4uD51bkqBUcjZYMrfWsnRasZNMglpLZWXloEGDrGWfSSZBrSU2QTafBosERYm6Buv8+fNXXHHF9u3bXXdp06bN2bNnrWVZaNu2rf96NEdcgg4cONC9e3frAwqycPDgQecuJCiV4hI0fvz4cePGHWk0duzYdu3aOXchQam0ZcuW4uLinTt3Wg+DTDIJSqW4BNl8fkVIgqJEXYO1atWqUaNGee3Cq4dUikvQkCFD5syZY38GSx46dyFBqRSXoE8//VT6qtzc3K5duz7xxBOXXnqpcxcSlDLr168vKirauHGjvSbIJJOglHEmyObTYJGgKFHXYF111VUbNmzw2oXff6dSXII6duzo9RksGwlKJZ8y8Nxzz0mz5VxPglJDXigWFBRs3rw5dmWQSSZBqeGaIJvPnUWCokRXg/XWW29df/31PlsuW7bM9S81vNajOZx/RVheXm69gzV37lzXj+iSoFSKS9C4ceOqqqokOytXriwsLPzoo4+cW5KgFFi8eHFRUdGOHTvi1vtMMglKJa8E2Xw+g0WCoiSaDVbcf3llry8tLa2srHTd3lqor6+fMWOG9V8xzZo1K/b/IHFdj6ZxTdCuXbuGDx/+jUYjRozYvXt37PbWAglKDdcEVVRUyIvyTp06DR06dMuWLXHbWwskKAUyHGpraxt8J5kEpZJXgpw/it3FWiBBURLNBgsAAKAV0WABAACEjAYLAAAgZDRYAAAAIYtgg5XsN6F6rff5ws5YXrvHfZjR9bulg+8e1uQAAIAUiGDlTvabUL3WJ/zCTv/dY3l9t7TP7jRVAACkr4hX8SDfhBrkP3Bz/cLOgLs7v1s6yO40WAAApK+IV/Eg34Qa5CsIXL+wM+Duzu+WDrK7NFh5eXmdOnXq06fP008/fe7cuUSxAgAAU0S5wQr4TagJv0TT6ws7g+zu/93SCXc/ffr0pk2bSkpKpk2blihcAABgisg2WMG/CdX/LSjnOHEfPPff3fnd0kntbtm/fz9f7QkAQBqJZoOV1Deh+nyIyv8LOxPu3pDou6UT7m6pqqrq2rWrzyAAAMAoEWywkv0mVK/1Cb+w03/3Bu/vlg6ye1lZ2bZt286cObN9+/YhQ4ZMnTo1+AwAAIDWFcEGK9lvQvVa7/OFnbF8voPT67ulg+y+Zs2afv36dejQoWfPnvPmzaurq2v+zAAAgNSIYIMFAADQumiwAAAAQkaDBQAAEDIaLAAAgJDRYAEAAISMBgsAACBkNFgAAAAho8ECAAAIGQ0WAABAyGiwAAAAQkaDBQAAEDIaLAAAgJDRYAEAAISMBgsAACBkNFgAAAAho8ECAAAIGQ0WAABAyGiwAAAAQkaDBQAAEDIaLAAAgJDRYAEAAISMBgsAACBkNFgAAAAho8ECAAAIGQ0WAABAyGiwAAAAQvZ/qX4tpEVCM+4AAAAASUVORK5CYII=)
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