Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit318-04-20020720_182700_20020720_231200-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/07/20 |
Start Time | | 2002/07/20 18:27 |
End Time | | 2002/07/20 23:10 |
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 | | -25.30 |
Dipole Tilt, in Y-Z GSE plane, deg | | 1.48 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 190.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit318-04-20020720_182700_20020720_231200-constBx0 |
Minimum Dst Value | | -22 |
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,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUARnJpIE1hciAyOSAxMzozMDoxOSBFRFQgMjAxOb2gdkUAAAHOdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQzMTgtMDUtMjAwMjA3MjBfMjMxMzAwXzIwMDIwNzIxXzAzNTgwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIENsdXN0ZXItNCB0cmFqZWN0b3J5LiIsIAogICAgInhheGlzIjogeyAibGFiZWwiOiIiLCAibWluIjoiMjAwMi0wNy0yMFQyMzoxMzowMC4wMDBaIiwgIm1heCI6IjIwMDItMDctMjFUMDM6NTY6MDAuMDAwWiIsICJsZWZ0Ijo3OCwgInJpZ2h0Ijo3MjIsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiVVRDIiB9LAogICAgInlheGlzIjogeyAibGFiZWwiOiJyaG8iLCAibWluIjowLjIyOTc2OTk5OTUsICJtYXgiOjAuNDE1MjMwMDAwNSwgInRvcCI6NTIsICJib3R0b20iOjIzNSwgInR5cGUiOiJsaW4iLCAidW5pdHMiOiIiIH0KICB9CiBdfU6rpxwAAAAEZ0FNQQAAr8g3BYrpAAAh9klEQVR4nO3df3AU9f34cUyABGjzuSiFBkkkUqx0INWMOsQAQgR/URRtp6VOKaPUplUYaUt+WECa/oC2UxhxpiQ2/TH+oULsYEZL6DhW2pFaGSjTlhoKKD9tCQkUIWggQvJ9TXa+O9u73b29u83xzr2ejz8ye5v99Xq/dvf1usvlblAvAAAAQjXoch8AAABApqHBAgAACBkNFgAAQMhosAAAAEJGgwUAABAyGiwAAICQ0WABAACEjAYLAAAgZDRYAAAAIaPBAgAACBkNFgAAQMhosAAAAEJGgwUAABAyGiwAAICQ0WABAACEjAYLAAAgZDRYAAAAIaPBAgAACBkNFgAAQMhosAAAAEJGgwUAABAyGiwAAICQ0WABAACEjAYLAAAgZDRYAAAAIaPBAgAACBkNFgAAQMhosAAAAEJGgwUAABAyGiwAAICQZWaDNWhQZsYFAP2qP26eb7755oQJE+JuuT92fblqATUIvdoaLE56APDRHzfJqVOnbt68+bLsmgYrRBkZVL/KzPFK9KnSli1bpk+fnpOTU1BQsHDhwra2NueSFufy77777uc+97lIH5mQh6576enpqa6ulmXy8/Nra2vlYdQ2Y7fstHXr1oqKitzcXDmqRYsWnTx50n+zXvMT3U7U4eXl5SW3nYSCSjQFXssnOjgDeuS9BseV1069RtLrLPU6+UMZ+f4QNTh2RFdcccXo0aPnz59/7Ngxn9WTOP7jx48/+uij48aNGzJkiKx11113ySC7HkzUTJn4zGc+49yFTE+cONG5gP2rvXv3PvDAA1deeeXQoUNvuummF1980Zr//vvvy3FOmDBh2LBhsvf77rvvtddei3vMsQeT9AKx5Ew+f/586rtOQn/3BF5ZSG6/IR5tR0dHYWGhCa81aG7LMjPyRO8RM2fOlCdYp0+fPnv2bF1dnRQz/+XLysqWL19+us8TTzwhD1330tDQUFpaerCPTDQ2NgY8PMvs2bNbWlo6OztPnDhRWVk5Z84c/816zU90O07r1q1btmxZ6tuJG1SiKfBaPtHBGdAj7zU4rrx26jWSXtv0OvlDGfn+ENtgWROXLl3697///Z3vfGfq1Kk+qyd6/O+9994111wjm21tbf3www+lG37llVfuvPNO14OJmikTUqRffvll+1cvvfSSzIltsPbv3y/d4c9+9rMjR45I7/LWW299/vOft34l+3rkkUdkgQsXLrS3t2/atOm2227zP2bXg0l6gaRXGXANlk8WLnuDJS3+6tWrabAurwEWuZzEjz/++Og+MmE/K5IUSkEaO3asPCu1Hv7kJz8ZNWqUPLF47LHH5EZjL9b7v0/NY3chZWz48OFRM6OWlAWkGlnTZ86ciV3eIrVH6qI1LRPl5eWuWwtCdjdixAj/zXrNT3Q7Nhm34uJiKRgpbidIUE5BUuC1fCqDE/cgTRt5W5AzKshBOkfSa5teJ3+KI//RRx+tXLmyqKgoEolIxbJm+lzv9fX10sfk5uZOmTJlz5491vzXXnvtxhtvlJnyK6sTir3Yo+J6//33hw0bJhPf+MY3fv3rX9vzf/WrX8kc/+N3HaKHH35Y+k7XGL1WcR5bU1OTcxcS3Ysvvhh78A8++OAPf/hD111IOBKU1wE4d+pzk+z1GHz/m2eiq8Tet13T6nUaOO3bt0+aG4klLy/v/vvv7+joCBKO/07lBJANyvIyUK7x+mTB63yzHwY5V+U5wA9+8INx48bl5+c/9NBD586dcx23WNLcjx8/vqury+t8i70onBuMO5heBxZ7FcfuK0gRnzZt2gsvvGAfsPSvBQUFQc5q0wywBkuSN2vWrGN95Jn3k08+ac2X3Nx3333yfNR+KIu910cmvve979nzoyaiyImyZs2auK8QfOELX5BdS77lSfyKFSvkoevW5Oy0T015KinnnL21kSNHSmWaNGnS+vXrL168GDfw5ubmGTNm+G/Wa36i27HJZS8XT9LHk1BQtoAp8Fo+lcGJe5CmjbwtSIMVd6dRI+l1lnqd/CmOvBQqieudd97573//u3TpUmumz/U+b968Q4cOyTHX1dXZHYnchX/729/KLVvuyIsWLXIdHGeROH78eE1NjfUCj3QY06dP37Rpk0xv3LhRpru7u/2P33XY5RikPrnG6LWK874kRzVhwoQ///nP8nDbtm0yLXNib1xSnLzemXD33Xd/8Ytf3L59+4cffuh1GL0BbpI+g++1zURXib1vu6bVa7NOJSUlr7/+uoQsZ+bixYu/9rWvBQ/HdadybstI/rvPHXfc4RqCTxbiNlhBztW1a9fefvvtBw8elIviK1/5yre//W3XcYt1zz33PPfcc7EbjD0M1w3GHUyvA3O9iqP2FaSI//73v584caKc+davZHx+/OMfewVrsgHWYF177bVvv/22NS1PNaRJt6YlN4cPH7YXk4f2Yv/85z+di0VNOFldtjylO3DgQOyvnA+tvwJYy8uE14melZVl3aOFTGRnZzt/K5fWzp075Xq2T0Qvu3fvLi4utu/aXpv1313w7Vjk5L7uuuvkmVDSx5NQUJbgKfBaPunBCXKQpo28cxzixuK/U6+Rjz1LvU7+FEf+U5/6lP3igc3nepfeyJr+4IMPrJegRGFh4dNPP3306NGo0GIjtclTcLlFWL9qa2uT4a2trZWf9nvREj1zBg8e7OxsYl8qiF0l6rfPPPPMvffe29v3x75f/OIXsQtYe+nq6nI9gDNnzkgN++xnP5ubmysDuGzZMten/nFvkj6D7xV7oqvE3rdd0+q1WS8yAmPHjg0ejtdO9+7da03Liq4h+GQhboMV5Fy9/vrr//Wvf1nTckLK5WYv5hy3KK+++uott9xivZMveIPltUHXwfQ6MNerOGpfAYv4zTffbPWI+/fvlwOQ1HjFa7IB1mDJLcM+oWVCHlrTkhvnO0PloddiURNR5GRatWrVtGnTouZHLS8N+BNPPGG/DUUe2os5b6ZBnrvL0xfnK1vO1S3yLLaoqGjHjh32nOReKgi+HYs8iZ87d27sASe6HVexG7EFTIHX8iG+gmX+yNuCNFhxR8Br5Hv/9yz1OvkTHZyos915adt8rnfX8P/617/OmzfvqquumjBhgv13Pa+FreNZvny58w1/8nxaFrD/Rulz/F4++clP+nTAQ4YMifoLl8QlPZxzMVmgoKDg+eefl5/2X9mituPz2olNbonSOS1cuDD29eDeADfJgIPvlOgqsfftqN/6b9ZJngZIHqVdtk4quw9ONBzn8namvP7WlsorWEHOVen2nE8GnOdJ1Lg5L6XJkye/8cYbrhuMPQzXDcYdTK8Dc72Ko/YVsIg3Nzd/+tOfvnjx4pe//GXpRF2jMN8Aa7ACPkNyPjmTidjFvP503dtXZuK+x0VOr1Teg+V07NgxuUq9DkZq7ZgxY3bt2hVksz67S2g7lhtuuGH79u2pHE9CQTkFSYHX8mG9B2tAjLwtSIMVZARcR773f89Sr5M/xZGXMpPQK1jOxaIeym36d7/7nTQ61sOoiz1qYYnFftHib3/7mzxX3rx589VXX22/kpfomSMNTW1tbdRMe6cTJ0586623nL/6y1/+Mm7cuKjF1qxZM3jwYPvPIrHV+sEHH1y9erX/kVikD/74xz8eOz/uTdJr8H1unkm8ghXkYZBXsGTms88+e+rUKSnJ8jN2xBI9l4K8guWTBWejZr/6cvz48YTOVekwDh065LNxr11HiV3G/6KIO5heB+Z6FUftK2AiZGSkU6yqqpKrw36D4IAzwBosebpp//lWWuwVK1ZY82MvkjvuuMN6e4FMxL4V4BOf+ITzTzALFiyQh93d3UePHl28eHHcNwDJPVd2bT2J/+53v+t1z62vr3f9/6P58+fLiSUnjexUwlmyZInr6mvXri0qKrIv8rib9Zqf6HZ6+/51/9Zbb03xeBIKKtEUeC2f6OAkdJCmjbzX4Ljy2qnXSHqdpV4nf4oj/6Mf/WjGjBnvvvuu890bwa93+5jl3i3HLEVL+lFrZtTF7lz35MmTK1eunDJlSm/fW9Dkhv6nP/1Jpl9++eUbb7zR+kufz/G7Dvvhw4dl1/Z/EUo4r7zyir3kz3/+c9nLH//4xzN9tm3bNmnSpJ/+9Kc+G+x1a7D2798vVXndunUyMufPn9+xY4f9/2u33Xbbpk2b2traJKdyzJWVlXfffbfrNv1vkl6DHzWeTgHz5TWAXg+9Nusko/HSSy/JUMgpJEMRO2KJnkuyvP0erDvvvNM1BJ8s2MvLBVJXVydnl+Ti3nvvTehcfeqpp+SYZY4s9o9//ONLX/qS/3jG8lrS56LoDTCYXgfmehVH7Sv4SSLPKmXmL3/5yyARmWkgHWtv3yuKcqO3/gFBJuxXGmMvEusfZPLz87/5zW86/0/BmpCKFYlE7IdNTU0lJSVDhw4tLCyU+5H07M5NxT4VkOvqrrvu+r8+chG+8847rkcrPbg04NYnBtXU1Nivf1q7y8nJkeZdzjafv+JH6ezs9Nms1/xEt9Pb98GAzc3NKR5PQkElmgKv5RMdnAE98l6D48r/bIwdSa+z1OvkT3HkpRuQdm3s2LFyzUrFsmYGv96tiRdeeEGeW+fm5kp79Prrr1szoy5253BdeeWVUvOsEL761a9ab3iyyDFY/2fgc/xeA37kyJGHH35YqubgwYOvuuqq+++//80337RH4ze/+c1NN91kDaBMPPvss3E3OCimwvX2/aeYbFmOSnJ3880325/A9Ic//EHmyzDKOBQXFz/22GPOq8m5Tf+bpNfgR42nU8B8ecXr9dBrs07yzERSP2TIEHkq8vTTT8eOWKLnkizw9a9/XQZHhuj73/++bNk1BK8s2NuRZynSwVv/Lbhhw4aEztVLly5JLNdff71chtKX23cG/yvdNZwosReF87dxB9PrwFyv4qh9BT9JZDAnTJjw0UcfBYnITAPpWAEAoRhYhery+vvf/y6t6uU+isvs4sWL8oQhnXucO3fu888/n849ho5rDADUocGKa+nSpcePHz98+PDtt9/+rW9963IfzmW2c+dO+78F+9ulS5eeeeaZyZMn25/UMEBxjaFfxP5Vy8Ab+oA4yERlZFAIHWdFXE899dTYsWNHjRr1yCOPDNCPCQjRxz72sQ0bNqRnX3Jyjhs3Tlq69Oyu/3CNAQAAhIwGCwAAIGQ0WAAAACGjwQIAAAgZDRYAAEDIaLAAAABCpqXBcv3fdQAAkGaXuyNIEzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOOMzlOnf+2AACAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO0x1nT09PdXV1JBLJz8+vra2Vh15LdnR0FBYWOjMRfN1YejIKAICx9JTjdMfZ0NBQWlp6sI9MNDY2ei356KOPrl692pmJ4OvG0pNRAACMpaccpzvOsrKylpYWa1omysvLXRdrbW0dP358V1eXMxMB13WlJ6MAABhLTzlOd5x5eXkdHR3WdHt7eyQScV3snnvuee6553r/NxMB13WlJ6MAABhLTzlOd5xZWVnd3d3WtExkZ2fHLvPqq6/ecsst1lusnJmIu+4gX/0SDwAACExPOTbxFazJkye/8cYb1jSvYAEAkDH0lGMT34Pl9eIT78ECAGBA01OO0x1nfX29138Cug66c6bPunHpySgAAMbSU44vw+dgVVVVRfrU1NQ4P8sqboPls25cejIKAICx9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lWE2cajIKAICx9JTjTI6TDxoFAMAoesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxmjjVZBQAAGPpKceZHCef5A4AgFH0lGM1carJKAAAxtJTjtXEqSajAAAYS085VhOnmowCAGAsPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjtXEqSajAAAYS085VhOnmowCAGAsPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjjM5Tj7JHQAAo+gpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccZ3KcfJI7AABG0VOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlOd5w9PT3V1dWRSCQ/P7+2tlYexi6zZcuW6dOn5+TkFBQULFy4sK2tzZqfyn8F6skoAADG0lOO0x1nQ0NDaWnpwT4y0djYGLvMzJkzN2/efPr06bNnz9bV1VVUVFjzU8mKnowCAGAsPeU43XGWlZW1tLRY0zJRXl7uv3xnZ+fw4cOtaRosAAAGND3lON1x5uXldXR0WNPt7e2RSMRn4XPnzq1Zs2bOnDnWQ8nKyJEjpd+aNGnS+vXrL168GHy/ejIKAICx9JTjdMeZlZXV3d1tTctEdna215LWG61GjRp14MAB5/zz58/v3LmzvLx86dKlrqt4CT0WAACQED3l2OhXsM6cObNq1app06bF/urIkSP+60bRk1EAAIylpxyb/h4s6bFGjBgRO//YsWOjR48Ovl89GQUAwFh6ynG646yvr/f6L0J70BcsWNDa2trd3X306NHFixfb78GaP3/+nj17Lly4IL+dNWvWkiVLgu9XT0YBADCWnnJ8GT4Hq6qqKtKnpqbG+TlY9qA3NTWVlJQMHTq0sLCwsrLy1KlTzvk5OTnjx49fvnx5V1dX8P3qySgAAMbSU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lWE2cajIKAICx9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOc7kOPkkdwAAjKKnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcfJx9nV1bVixYrx48fn5ubKzyeffPL8+fMhHlm49GQUAABj6SnHyce5ZMmSioqKPXv2SKclP2fOnPn444+HeGTh0pNRAACMpaccJx/n6NGjjx07Zj+UaZkTxiGFhk9yBwDAKHrKcSY3WE56MgoAgLH0lOOU/kQ4a9ast99+u6urS37KNH8iBAAAPvSU45Te5L58+fJrr702NzdXfq5cuZI3uQMAAB96yrGaONVkFAAAY+kpx2riVJNRAACMpaccJx/nnj17ysvLhw0bNiD+U8/kYwMAQAk95Tj5OKdMmVJXV/fBBx+EeDT9R09GAQAwlp5ynHycubm5586dC/FQ+pWejAIAYCw95Tj5OK+55ppDhw6FdyTh44NGAQAwip5ynHycGzZsmDdv3vHjx0M8mv6jJ6MAABhLTzlOLM5B8fTTUabO5GMDAEAJPeVYTZxqMgoAgLH0lOPk47ziiitCPI7+piejAAAYS085Tj7Oq6+++j//+U+Ih9Kv9GQUAABj6SnHyce5bt26Bx544PDhwz09PSEeUD/Rk1EAAIylpxwnHydvcgcAAAnRU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lOJPjHCh/vgQAQAk95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSU43TH2dPTU11dHYlE8vPza2trXT8FfsuWLdOnT8/JySkoKFi4cGFbW1vwdb3oySgAAMbSU47THWdDQ0NpaenBPjLR2NgYu8zMmTM3b958+vTps2fP1tXVVVRUBF/Xi56MAgBgLD3lON1xlpWVtbS0WNMyUV5e7r98Z2fn8OHDk1vXSU9GAQAwlp5ynO448/LyOjo6rOn29vZIJOKz8Llz59asWTNnzpwk1o2iJ6MAABhLTzlOd5xZWVnd3d3WtExkZ2d7LWl9/PqoUaMOHDgQcF3X75/mk9wBADCEnnJs9CtYZ86cWbVq1bRp05JYN4qejAIAYCw95dj092BJjzVixIjk1nXSk1EAAIylpxynO876+nqv/wS0B33BggWtra3d3d1Hjx5dvHix/R4sn3Xj0pNRAACMpaccX4bPwaqqqor0qampcX6WlT3oTU1NJSUlQ4cOLSwsrKysPHXqVNx149KTUQAAjKWnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5ynMlx8knuAAAYRU85VhOnmowCAGAsPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjtXEqSajAAAYS085VhOnmowCAGAsPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjtXEqSajAAAYS085VhOnmowCAGAsPeU4k+Pkk9wBADCKnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6ynEmx8knuQMAYBQ95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSU40yOk09yBwDAKHrKsZo41WQUAABj6SnHauJUk1EAAIylpxyriVNNRgEAMJaecqwmTjUZBQDAWHrKsZo41WQUAABj6SnH6Y6zp6enuro6Eonk5+fX1tbKw9hltm7dWlFRkZubW1BQsGjRopMnT1rzU/mvQD0ZBQDAWHrKcbrjbGhoKC0tPdhHJhobG2OXmT17dktLS2dn54kTJyorK+fMmWPNTyUrejIKAICx9JTjdMdZVlYmzZM1LRPl5eX+y589e3bEiBHWNA0WAAADmp5ynO448/LyOjo6rOn29vZIJOK/fHNz84wZM6xpycrIkSOHDx8+adKk9evXX7x4Mfh+9WQUAABj6SnH6Y4zKyuru7vbmpaJ7Oxsn4V3795dXFy8b98+58zz58/v3LmzvLx86dKlUcsP8hVuIAAAIFF6yrG5r2Bt27atqKhox44drr89cuRI3Fe/nPRkFAAAY+kpx4a+B2vjxo1jxozZtWuX13aOHTs2evTo4PvVk1EAAIylpxynO876+nqv/yK0B33t2rVFRUV79+6NWnf+/Pl79uy5cOFCa2vrrFmzlixZEny/ejIKAICx9JTjy/A5WFVVVZE+NTU1zs/Bsgc99u1TnZ2dMr+pqamkpCQnJ2f8+PHLly/v6uoKvl89GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6ynEmx8kHjQIAYBQ95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSU40yOk09yBwDAKHrKsZo4AQCAAS53R5AmWuKMkp4Esxdjd8Re2EvG7Ii9sJfM2EvmUTpqmXRSZtJe0rYj9sJeMmZH7IW9ZMZeMo/SUcukkzKT9pK2HbEX9pIxO2Iv7CUz9pJ5lI5aJp2UmbSXtO2IvbCXjNkRe2EvmbGXzMOoIRAuMGORGmORGjORF6QH5xkC4ZZkLFJjLFJjJvKC9OA8QyDckoxFaoxFasxEXpAenGcIhFuSsUiNsUiNmcgL0oPzDIFwSzIWqTEWqTETeUF6cJ4BAACEjAYLAAAgZDRYAAAAIaPBAgAACBkNFgAAQMhosAAAAEJGgwUAABAyGiyNenp6qqurI5FIfn5+bW2tPPSfH9a6iMtnGAf9f4muS2pC4TWMW7duraioyM3NLSgoWLRo0cmTJ4OvS2pS5zWGW7ZsmT59ek5OjuRl4cKFbW1twdclLwgFDZZGDQ0NpaWlB/vIRGNjo//8sNZFXHGH0afBIjX9ymsYZ8+e3dLS0tnZeeLEicrKyjlz5gRfl9SkzmsMZ86cuXnz5tOnT589e7aurk6a4ODrkheEggZLo7KyMikJ1rRMlJeX+8/vddT1JNZFcHGHMbbBIjXpEWQYpZaPGDHCfkhq0iDIGEr7O3z4cPsheUF60GBplJeX19HRYU23t7dHIhH/+b2OW1IS6yK4uMPo02CRmn4VZBibm5tnzJhhPyQ1aRB3DM+dO7dmzRrnK4vkBelBg6VRVlZWd3e3NS0T2dnZ/vPDWhdxxR1Gnz8Rkpp+FXcYd+/eXVxcvG/fvuDrkprU+Y+h9bbFUaNGHThwIPi65AWhoMHSKJXnbTzn61dJvIIVd11SEwr/Ydy2bVtRUdGOHTsSWpfUpC7uGJ45c2bVqlXTpk0Lvi55QShosDRK5Z0HvGuhXyXxHqy465KaUPgM48aNG8eMGbNr165E1yU1qQsyhtJjOd8bF3dd8oJQ0GBpVF9f7/o/Ml7zex11PYl1EVzcYfR5Dxap6Vdew7h27dqioqK9e/fGrkJq0sBrDBcsWNDa2trd3X306NHFixe7vgeLvKBf0WBp1NPTU1VVFelTU1Pj/PQX1/m9jltSEusiOP8UODnn+69LakLhNYyDYnR2dtq/8l+X1KTOawybmppKSkqGDh1aWFhYWVl56tQpexXygvSgwQIAAAgZDRYAAEDIaLAAAABCRoMFAAAQMhosjby+njbRrz4N8jW3PqtHvTU4Ly8voaN1biGUYQEAICxUJo28vp420a8+DfI1tz6rO61bt27ZsmUJHa2NBgsAYBoqk3bOr6dN5WP3or7m1inu6hcuXCguLn7vvfcSOlobDRYAwDRUJu2cX0+byhdHRH3NrVPc1RsbGx966KFEj9ZGgwUAMA2VSbWor6dN+qtPfb7mNu7qly5duu6661pbWxM9WhsNFgDANFQmvWK/nja5V7BitxP13nP/1Tdu3Dh37lznHNe3rvt8mS4NFgDANFQmpVy/njaJ92DF/Zpb/9XFDTfcsH379iSO1kaDBQAwDZVJI6+vp030q099vuY2yGbFli1bbr311uSO1kaDBQAwDZVJI6+vp030q099vubWyeebU6dOndrc3Jzc0cb+KvWRAQAgFNQkAACAkNFgAQAAhIwGCwAAIGQ0WAAAACGjwQIAAAgZDRYAAEDIaLAAAABCRoMFAAAQMhosAACAkNFgAQAAhIwGCwAAIGQ0WAAAACGjwQIAAAgZDRYAAEDIaLAAAABCRoMFAAAQMhosAACAkNFgAQAAhIwGCwAAIGQ0WAAAACGjwQIAAAgZDRYAAEDIaLAAAABCRoMFAAAQMhosAACAkNFgAQAAhOz/AezXuL9IWeL4AAAAAElFTkSuQmCC)
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