Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit347-04-20020927_184300_20020927_232700-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/09/27 |
Start Time | | 2002/09/27 18:43 |
End Time | | 2002/09/27 23:25 |
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 | | -2.24 |
Dipole Tilt, in Y-Z GSE plane, deg | | 13.82 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 152.20000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit347-04-20020927_184300_20020927_232700-constBx0 |
Minimum Dst Value | | -6 |
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,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUATW9uIEphbiAxNCAwMTowNzo1MyBFU1QgMjAxORgwdhwAAAHMdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQzNDctMDUtMjAwMjA5MjdfMjMyODAwXzIwMDIwOTI4XzA0MTIwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIEdPRVMtMTAgdHJhamVjdG9yeS4iLCAKICAgICJ4YXhpcyI6IHsgImxhYmVsIjoiIiwgIm1pbiI6IjIwMDItMDktMjdUMjM6Mjg6MDAuMDAwWiIsICJtYXgiOiIyMDAyLTA5LTI4VDA0OjEwOjAwLjAwMFoiLCAibGVmdCI6NzgsICJyaWdodCI6NzIyLCAidHlwZSI6ImxpbiIsICJ1bml0cyI6IlVUQyIgfSwKICAgICJ5YXhpcyI6IHsgImxhYmVsIjoicmhvIiwgIm1pbiI6MC45MTg0MDk5OTk1LCAibWF4IjozLjE0NDU5MDAwMDUsICJ0b3AiOjUyLCAiYm90dG9tIjoyMzUsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiIiB9CiAgfQogXX3uuMS2AAAABGdBTUEAAK/INwWK6QAAIyNJREFUeJzt3X9wFPX9+HHkV0Jo87lABIMkECmtdCCtjDqkAYRIFMQfaB1KpYCV2rQKI22FBANS2gJtp2HEGQ2WYsc/FIgdzGgJHaeVdrRWBpqxpgYBkR/R8iPQAEEDEZLva7Lz3dne3u7thU14517Pxx+Zvb3d9+7r/drd13vvLnc92gAAABCqHld6BwAAAJINAywAAICQMcACAAAIGQMsAACAkDHAAgAACBkDLAAAgJAxwAIAAAgZAywAAICQMcACAAAIGQMsAACAkDHAAgAACBkDLAAAgJAxwAIAAAgZAywAAICQMcACAAAIGQMsAACAkDHAAgAACBkDLAAAgJAxwAIAAAgZAywAAICQMcACAAAIGQMsAACAkDHAAgAACBkDLAAAgJAxwAIAAAgZAywAAICQMcACAAAIGQMsAACAkDHAAgAACBkDLAAAgJAl5wCrR4/kjAsAOlVnXDzffvvtkSNHxm25MzZNLcAVlJwHn9dJxckGAD464yI5fvz4rVu3XpFNc80PEZ2ZqOTsr0RvlbZt2zZx4sSUlJSsrKx58+YdO3bM+WxDQ0N2drZzlR7/Kz09PeZWWltblyxZEolEMjIySktL5WHM1b12cvv27YWFhampqbJX8+fPP3nypH+zXvMTbaexsXHu3LkDBgzIzMxcsWJF3P0J2Bv+jXilwGv5AwcO3HnnnZF2MiEPO9Y53brnvTohJv8ecB/kbY7MdkbndBmvoK666qrBgwfPmjWrvr7eZ/UO7P/Ro0cfeeSR4cOH9+nTR9aaOnWqHN4xdyZqpkx89atfdW5CpkeNGuVcwH5qz5499913nxwtffv2vfHGG19++WVr/unTp2U/R44c2a9fP9n6Pffc8+c//znuPrt3psMLuMk14fz585e/6Q7o7DGBT65FbW3ttGnTvtBOJt577z3njsUsBAmlL+YZGuSI7cqhkuZhWXJGnug1YvLkyXKDJeXt7NmzK1eulPrhfFbOn9WrV3u1uXbt2scffzzmU+vXrx87duxH7WRiw4YNAXfPUlRUVF1d3dTUdPz48eLi4unTp/s36zU/0XYefPBBqTrH2s2cOfP555/3bydgb/g34pUCr+Xz8/PLysoa2y1dulQedqxzunXPe3VCTP494HOQR80Mq3O6jHuAZU1cunTpk08++clPfjJ+/Hif1RPd/48//njYsGHSbF1d3WeffSYD0Ndee+3222+PuTNRM2VChkqvvvqq/dQrr7wic9wDrH379sno8De/+c3hw4dl7PLOO+9885vftJ6SbT388MOywIULF06cOLFly5ZbbrnFf59j7kyHF+jwKt1ugOWf6/3791999dXl5eVH28m1UR7KTP8d60D6opoKcsQywOoa3SxyuZQ89thjg9vJhH1XJCmUw3fo0KFyV2o9/NWvfjVo0CC5vXv00UflSLUXa/vfWwf3JqRypKWl2Q/lzBkxYkRzc3PMhaXl3NxcOc1i7q0UPClF1rRMFBQUOHcjITLs6N+/v3+zXvMTbWfgwIFSO61pqfQxy4+zHZt/bwRspM2VgpjLywLy0Jo+c+aMvfzldE7cnTSt5706ISafnfQ/yH0O17A6R3z++efLly/PycmRO28ZN1gzfc73iooKqW2pqanjxo2rra215su9/g033CAz5SmrrrhP9qhwTp8+3a9fP5n4wQ9+YI9oxcaNG2WO//7H7JmHHnpIBrtePRZ3gFVZWenchET38ssvu3f+gQce+MUvfhFzExKOBOW1A86N+lwk2zw63//imegq7ut2zLR6HQZOe/fulSGmxJKenn7vvfc2NDQECcd/o3IASIOyvHRUB3I9e/Zs5+vQ4sknn/zOd74TtWNRAqbPKaqpuGdczJPCmYi4nSk3Jz//+c+HDx+ekZHx3e9+99y5c9Z891ns3laQIj5hwoRNmzbZOyx3EVlZWYl2iwm62QBLkjdlypT6dpMnT5bj1ZovubnnnnvkftR+KIt93E4mfvrTn9rzoyaiyIGyZs0a52szd9xxx4svvui1ilzE5fDy2ls5Ou1DU+5F5Jizt56ZmSnlcPTo0evWrbt48WLcwKuqqiZNmuTfrNf8RNuRMi8PrWmp93Hbsfn3RsBG3CmIufz9998v2ZdTrrGxcdmyZfLQP6ggnRN3J03rea9OiMlnJ/0Pcp8BVlidI2S4IE19+OGH//3vfxctWmTN9DnfZ8yYcfDgQTlaVq5caZcQuQr/4Q9/kEu2XJHnz58fc/+dReLo0aMlJSXWKwQywpg4ceKWLVtkevPmzTLd0tLiv/8xe0b2QeqTV4/FHWDJXo0cOfLvf/+7PNyxY4dMyxz3hUuKk9c7wtOmTZs5c+Zbb7312Wefee1GW4CLpE/ne7WZ6Cru63bMtHo165SXl/fGG29IyHI6LFiw4Hvf+17wcGJuVE4o6clP2t12220dyLXkSI5n5xx5eM011/j3ScD0OUU1FeSMc58UzkTE7czy8vJbb731o48+krNVhow//vGPrfkxz+KobQUp4n/6059GjRolR771lJzLv/zlLwP2hlG62QDruuuue//9961pudWQ225rWnJz6NAhezF5aC/273//27lY1ISTNcqWWzr7VdzXX3/95ptvtt7Ddq8i6f/yl78sd/9ee9uzZ0/rGi1kolevXs5npQzs2rVLzmf7QPRSU1OTm5trn8lezfpvLng7c+bMkXuv4+3kRrl3797+7QTsjSCNuFPgtbz14ry1vEzYl4YOd06QnTSt5706ISavjfof5F4zQ+wcy5e+9CX7xQObz/kuYyNr+tNPP7VeghLZ2dlPP/30kSNHfPa/x/+SW3C5RFhPHTt2TCIqLS2Vv/anABM9ciRrztLofqnAvUrUs88999zdd9/d1v5u0W9/+1v3AtZWmpubY+7AmTNnpIZ97WtfS01NlQ58/PHHY976x71I+nS+V+yJruK+bsdMq1ezXqQHhg4dGjwcr43u2bPHmpYVY4bgn2s5VKJyJAvbJ3UPF3vng6TPKWrfghyx7pPCmQinmJ15/fXXf/DBB9a0nCly8bGmY57FUdsKWMRvuukm665v3759sgOSmpi7Z7huNsCSY84+ZGVCHlrTkhvnR/nkoddiURNR5GBasWLFhAkTrIdjxox58803vVaR29y77rrLOSfqVAlyJyG32s5XtpyrW+QuNicnZ+fOnfacjr1UELydU6dOSXWXwiN3YKtWrbJvubza8eoNH16NtLlS4LW83AMtXbrU/viRPPQPqgOvYJnf816dEJPXRv0Pcq+Zl985UUe789S2+ZzvMffwn//854wZMwYOHDhy5Ej7XRKvha39KSsrc37mUu6nZQH7PUqf/fciWXO/qmFvtE+fPlHvcElcUhGdi8kCWVlZL730kvy132WLasfnFSybXBJl5DRv3ryYrwfHvUgG7HynRFdxX7ejnvVv1kluViWPcu5YB5U9qkg0HOfydqa83j33z7XcKHbgFSybO30xC4S7qY69guVMRNzOlGGoc2hoH8Axz+KobQUs4lVVVV/5ylcuXrz47W9/W+6a3CF0C91sgBXwDsl5cyYT7sWsd5pjkgJvf6zE6ybD8vWvf/2tt97y2dsgnz6pr6+Xa6VXCzJqGTJkyO7du4M067O5hNpxeuaZZ6Tk+7djidsbQRqxOFPgtbyc4Z36Gaxu0fNenRCTzycCfQ7yNo9bi1A6x0mGRAm9guWzh3KZ/uMf/2hXsqiTPWph6UD7RYt3331X7pW3bt167bXX2q+hJnrkSEUsLS2NmmlvdNSoUe+8847zqX/84x/Dhw+PWmzNmjW9e/e23xZxD7Dk2Fi9erX/nlhk8P3FL37RPT/uRdKr830unh14BSvIwyCvYMnMF154QW5RpCTLX3ePJXosBXkFyz/XMjJwfwZr9uzZMbfrxSt9MbdoCXLE+p8UcTtThj4HDx50NxvzLI7aVsBEyFks936LFy+Ws8P+gGC3080GWHK7ab99K0PsZcuWWfPdJ8ltt91mfbxAJtwfBbj66qudb2bNmTNHHra0tBw5cmTBggVeN3zOh9u2bfvGN77hv7cVFRUx/5tj1qxZcmDJQSMblXAWLlwYc/Xy8vKcnBz7JI/brNf8RNuRS4B0r5zYmzZtys7Otl8K9monYG/4N+KVAq/l5SIi2bdevHniiSfsi0iinZPQTprW816dEFOQHgjyClZYnRNl1apVkyZNOnDggPPTG8HPd2tCziy5dsuZJQMsGQJaM6NOdue6J0+eXL58+bhx49raP/wnF/S//e1vMv3qq6/ecMMN1rs/Pvsfs7sOHTokm7b/s0zCee211+wlZdwsW/nrX/96pt2OHTtGjx7961//2qfBtlgDrH379skIcu3atdIz58+f37lzp/1fhLfccsuWLVuOHTsmZ5Psc3Fx8bRp02K26X+R9Or8qP50Cpgvrw70eujVrJP0xiuvvCJdIYeQdIW7xxI9lmR5+zNYt99+ewdyLedvZmam5Mj+L0J5aL/i5dUnAdPn029Bzjifk6ItQGc+9dRT0pnSgpxr77333re+9S1rfsyzOGpbwQ8SuZGTmb/73e98gjVcd9rXtvZXFGU4Yv0DgkzYrzS6TxLrH2QyMjJ++MMfOv9PwZqQIhGJROyHlZWVeXl5ffv2laomB7SM2d2bjtrE+PHjq6qq/PdWxuAyALe+pqikpMR+/dPaXEpKigze5Wjz+iyF+6WFpqYmn2a95ifazsaNG+WqkZaWVlRUVFNTE3d/AvaGfyNeKfBaXgrM1KlT/6+dXIDsl+IT7Zxu3fNenRBTkB7o4ftxpXA7J4qUExkjDh06VM5ZKUXWzODnuzUhA1O5t05NTZXh0RtvvGHNjDrZnXs+YMCAu+++2+q3uXPnWh94ssg+WP+x4bP/PTyu9YcPH37ooYcklb179x44cOC999779ttv273x+9///sYbb7SyJhMvvPBC3AZ7uCpcW/v/fkrLsldy1tx0003292D95S9/kfnSjdIPubm5jz76qNcFzf8i6dX5Uf3pFDBfXvF6PfRq1knu8ST1ffr0kdH/008/7e6xRI8lWeD73/++dI500c9+9jNpOWYIPrkW//rXv+QM7d9ORmnvvvuuc0Mxz6+A6YvZiDUzyBnnPikS6sxLly7J/Ouvv16qmNww2Bf/mGdx1LaCHyRySI8cOfLzzz+PCtmrNwzUnfYVABCK7lWoriwZJ8lY50rvxRV28eJF97/ddKq77rrrpZde6sotho5zDADUYYAV16JFi44ePXro0KFbb731Rz/60ZXenSts165d9n8LdrZLly4999xzY8aMsb+poZviHEOncL8AbuAFvVvsZKKSMiiEjqMirqeeemro0KGDBg16+OGHu+nXBIToC1/4wrPPPts125KDc/jw4TKk65rNdR7OMQAAgJAxwAIAAAgZAywAAICQMcACAAAIGQMsAACAkDHAAgAACJmWAVbM/10HAABd7EqPCLqImjjVZBQAAGPpKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5ynMxx6nzTFwAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6yrEpcW7btm3ixIkpKSlZWVnz5s07duyYe5nW1tYlS5ZEIpGMjIzS0lJ5GLx9PRkFAMBYesqxKXFOnjx569atjY2NZ8+eXblyZWFhoXuZ9evXjx079qN2MrFhw4bg7evJKAAAxtJTjk2Ms6mpKS0tzT0/Pz+/urrampaJgoKC4G3qySgAAMbSU46Ni/PcuXNr1qyZPn26+6n09PSGhgZr+sSJE5FIJHizejIKAICx9JRjs+K0vrBq0KBB+/fvdz/bs2fPlpYWa1omevXqFXN15T9+BACAsfSUY+PiPHPmzIoVKyZMmOB+ilewAADo1vSUYxPjlDFW//793fP5DBYAAN2annJsSpxz5sypq6traWk5cuTIggULnJ/BspNRUVHBfxECANB96SnHpsRZWVmZl5fXt2/f7Ozs4uLiU6dO2U/ZyWhtbV28eHGkXUlJCd+DBQBA96KnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHCdznHzRKAAARtFTjtXEqSajAAAYS085VhOnmowCAGAsPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjtXEqSajAAAYS085VhOnmowCAGAsPeVYTZxqMgoAgLH0lONkjpPvwQIAwCh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnKczHHyPVgAABhFTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOOkzlOvgcLAACj6CnHauJUk1EAAIylpxyriVNNRgEAMJaecqwmTjUZBQDAWHrKsSlxbt++vbCwMDU1NSsra/78+SdPnnQvczmfqdKTUQAAjKWnHJsSZ1FRUXV1dVNT0/Hjx4uLi6dPn+5e5nKyoiejAAAYS085NjHOs2fP9u/f3z2fARYAAN2annJsYpxVVVWTJk1yz5esZGZmpqWljR49et26dRcvXgzepp6MAgBgLD3l2Lg4a2pqcnNz9+7d67XA+fPnd+3aVVBQsGjRoqinevjq5B0HAABx6CnHZsW5Y8eOnJycnTt3xl3y8OHDkUgkeMt6MgoAgLH0lGOD4ty8efOQIUN2794dZOH6+vrBgwcHb1xPRgEAMJaecmxKnOXl5Tk5OXv27HE/ZSdj1qxZtbW1Fy5cqKurmzJlysKFC4O3ryejAAAYS085NiVO90emmpqa7KesicrKyry8vJSUlBEjRpSVlTU3NyfUfvg7DQAAEqGnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHCdznHzRKAAARtFTjtXEqSajAAAYS085VhOnmowCAGAsPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjtXEqSajAAAYS085VhOnmowCAGAsPeVYTZxqMgoAgLH0lONkjpPvwQIAwCh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnKczHHyPVgAABhFTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzkOP87m5uZly5aNGDEiNTVV/j755JPnz58PfSuJ0pNRAACMpacchx/nwoULCwsLa2trZaQlfydPnvzYY4+FvpVE6ckoAADG0lOOw49z8ODB9fX19kOZljmhbyVRejIKAICx9JTjZB5g8T1YAAAYRU857pS3CKdMmfL+++83NzfLX5nmLUIAANCmqRx3yofcy8rKrrvuutTUVPm7fPlyPuQOAADaNJVjNXGqySgAAMbSU47VxKkmowAAGEtPOQ4/ztra2oKCgn79+iX0AfPt27cXFhampqZmZWXNnz//5MmT7mVaW1uXLFkSiUQyMjJKS0vlYfC90pNRAACMpacchx/nuHHjVq5c+emnnya0VlFRUXV1dVNT0/Hjx4uLi6dPn+5eZv369WPHjv2onUxs2LAhePt6MgoAgLH0lOPw40xNTT137tzltHD27Nn+/fu75+fn58sgzJqWiYKCguBt6skoAADG0lOOw49z2LBhBw8evJwWqqqqJk2a5J6fnp7e0NBgTZ84cSISiQRvU09GAQAwlp5yHH6czz777IwZM44ePdqx1WtqanJzc/fu3et+qmfPni0tLda0TPTq1StqgR6+OrY/AAAgLHrKcThx+o9sgvfmjh07cnJydu7cGfNZXsECAKBb01OODYpz8+bNQ4YM2b17t9cCfAYLAIBuTU85Dj/Oq666qgNrlZeX5+Tk7Nmzx/2UnYyKigr+ixAAgO5LTzkOP85rr732P//5T8L74dLU1GQ/ZU20trYuXrw40q6kpITvwQIAoHvRU47Dj3Pt2rX33XffoUOHEhoAdTY9GQUAwFh6ynH4cZr5H3wm7AMAAMrpKcdq4lSTUQAAjKWnHCdznKa9igYAgHJ6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnKczHHyPVgAABhFTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOOkzlOvgcLAACj6CnHauJUk1EAAIylpxyriVNNRgEAMJaecqwmTjUZBQDAWHrKsZo41WQUAABj6SnHauJUk1EAAIylpxyriVNNRgEAMJaecqwmTjUZBQDAWHrKcTLHyfdgAQBgFD3lWE2cajIKAICx9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOVYTp5qMAgBgLD3l2KA4434a/XI+tK4nowAAGEtPOTYuTv8BVmc0CwAAuoaecmxcnAywAABIVnrKsXFx+g+wMjMz09LSRo8evW7duosXL4bSLAAA6Bp6yrFxccbt+vPnz+/ataugoGDRokXudX102i4DAIBA9JRj4+IM2PWHDx+ORCKhNwsAADqPnnJsXJwBu76+vn7w4MGhNwsAADqPnnJsXJzurrfnzJo1q7a29sKFC3V1dVOmTFm4cOHlNAsAALqYnnJsUJxeH5mypysrK/Py8lJSUkaMGFFWVtbc3JxQ4yHvLgAASJCecqwmTjUZBQDAWHrKsZo41WQUAABj6SnHauJUk1EAAIylpxwnc5x8DxYAAEbRU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lWE2cajIKAICx9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lWE2cajIKAICx9JTjZI6T78ECAMAoesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5ynMxx8j1YAAAYRU85VhOnmowCAGAsPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjtXEqSajAAAYS085VhOnmowCAGAsPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjtXEqSajAAAYS085TuY4+aJRAACMoqccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpxwbFGffDUq2trUuWLIlEIhkZGaWlpfIwocbD2EcAANBxesqxcXH6dP369evHjh37UTuZ2LBhQyjNAgCArqGnHBsXp0/X5+fnV1dXW9MyUVBQEEqzAACga+gpx8bF6dP16enpDQ0N1vSJEycikUgozQIAgK6hpxwbF6dP1/fs2bOlpcWalolevXq51/XRiTsNAAAC0FOOjYuTV7AAAEhWesqxcXHyGSwAAJKVnnJsXJzurrfnVFRU8F+EAAB0X3rKsUFxen1kyp5ubW1dvHhxpF1JSQnfgwUAQPeipxyriVNNRgEAMJaecqwmTjUZBQDAWHrKsZo4AQCAAa70iKCLaIkzStckuMsOo2QKJ5m20mUbYivGboitGLshtmLyhpKD0s7ioGcrXbCVLtsQWzF2Q2zF2A2xFZM3lByUdhYHPVvpgq102YbYirEbYivGboitmLyh5KC0szjo2UoXbKXLNsRWjN0QWzF2Q2zF5A0lBzorGXDQG4vUGIvUGIvUGIvUJITOSgYc9MYiNcYiNcYiNcYiNQmhs5IBB72xSI2xSI2xSI2xSE1C6KxkwEFvLFJjLFJjLFJjLFKTEDorGXDQG4vUGIvUGIvUGIvUJITOAgAACBkDLAAAgJAxwAIAAAgZAywAAICQMcACAAAIGQMsAACAkDHAAgAACBkDLOO0trYuWbIkEolkZGSUlpbKQ//5Ya2LuHy6scf/l+i6pCYUXt24ffv2wsLC1NTUrKys+fPnnzx5Mvi6pCYUXt24bdu2iRMnpqSkSGrmzZt37Nix4OuSmlD4d2NDQ0N2drbXNY3UBMEAyzjr168fO3bsR+1kYsOGDf7zw1oXccXtRp8BFqnpVF7dWFRUVF1d3dTUdPz48eLi4unTpwdfl9SEwqsbJ0+evHXr1sbGxrNnz65cuVLGwcHXJTWh8O/GRx55ZPXq1V7XNFITBAMs4+Tn50tJsKZloqCgwH9+m6Oud2BdBBe3G90XI1LTNYJ0oxTy/v372w9JTdcI0o0yAk5LS7Mfkpqu4dONdXV1I0aMaG5ujrqmkZqEMMAyTnp6ekNDgzV94sSJSCTiP7/NcdB3YF0EF7cbfQZYpKZTBenGqqqqSZMm2Q9JTdeI243nzp1bs2aN88VFUtM1fLrxjjvuePHFF9tc1zRSkxAGWMbp2bNnS0uLNS0TvXr18p8f1rqIK243+rxFSGo6VdxurKmpyc3N3bt3b/B1SU0o/LvR+uTioEGD9u/fH3xdUhMKr258/fXXb775ZuvjU17XNFITBAMs41zOnQF3FZ2qA69gxV2X1ITCvxt37NiRk5Ozc+fOhNYlNaGI241nzpxZsWLFhAkTgq9LakLh1Y1jxox58803rWmvaxqpCYIBlnEu571t3hfvVB34DFbcdUlNKHy6cfPmzUOGDNm9e3ei65KaUATpRhljOT8eF3ddUhMKr27s4RJ8XVLjxADLOBUVFTH/C8NrfpujrndgXQQXtxt9PoNFajqVVzeWl5fn5OTs2bPHvQqp6Rpe3Thnzpy6urqWlpYjR44sWLAg5mewSE2nCtKNXp/BIjVBMMAyTmtr6+LFiyPtSkpKnN8vEnN+m+Og78C6CM4/BTFv+EhN1/DqRve9eFNTk/2U/7qkJhRe3VhZWZmXl9e3b9/s7Ozi4uJTp07Zq5CarhGkG70GWKQmCAZYAAAAIWOABQAAEDIGWAAAACFjgAUAABAyBljG8fp52kR/XDPIz9z6rN7Y2Dh37twBAwZkZmauWLEi0b09cODAnXfeaX3UUSbkYRh9AwBA98AAyzheP0+b6I9rBvmZW5/VH3zwwVmzZh1rN3PmzOeffz6hvc3Pzy8rK2tst3TpUnkYVv8AAGA+BlhGc/487eV8sVvUz9w6ea0+cOBAGTNZ0zLGGj9+fEJ7m5aWJg+t6TNnzjh/yRUAgKTHAMtozp+nvZyfJoj6mVsnr9VlgCUPrWkZaQX5xQPnVu6///4nn3zy9OnTjY2Ny5Ytk4dxVwcAIGkwwDJX1M/TdvjHNX1+5tZn9Tlz5syePft4uwceeKB3794J7e3HH388bNgw66sdZeKTTz4JHjgAAN0dAyxDuX+etmOvYLnbifq2ca/VT506JeOqjIyMwYMHr1q16pprrom5utdWpkyZsnTpUvszWPLwsroDAIBuhQGWiWL+PG0HPoMV92du/Ve3PfPMMzLYSmhv+/Xrx2ewAABqMcAyjtfP0yb645o+P3MbpNnZs2fX19c3NjZu2rQpOzv7gw8+SGhvZdy2bNky6xWsJ554QvlvqgMAtGGAZRyvn6dN9Mc1fX7m1slr9Y0bNw4ZMiQtLa2oqKimpibRvd23b9/UqVP/r920adM+/PDDcHsJAACTMcACAAAIGQMsAACAkDHAAgAACBkDLAAAgJAxwAIAAAgZAywAAICQMcACAAAIGQMsAACAkDHAAgAACBkDLAAAgJAxwAIAAAgZAywAAICQMcACAAAIGQMsAACAkDHAAgAACBkDLAAAgJAxwAIAAAgZAywAAICQMcACAAAIGQMsAACAkDHAAgAACBkDLAAAgJAxwAIAAAgZAywAAICQMcACAAAIGQMsAACAkP0/dw2SRHlrQc8AAAAASUVORK5CYII=)
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